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Search results for: farm mechanization

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</div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: farm mechanization</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">745</span> A Critical Review of Mechanization in Rice Farming in Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Suheiti">K. Suheiti</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Soni"> P. Soni</a>, <a href="https://publications.waset.org/abstracts/search?q=Yardha"> Yardha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Challenges ahead of Indonesian agricultural development include increasing rural welfare, food needs, and the provision of employment through resource optimization that are laid out in agribusiness system. The agricultural system also responsive to the changing strategic environment. However, mounting pressure of population increase and changes in land-uses, require intensive use of agricultural land with modern agricultural machinery. Similarly, environmentally friendly technologies should continue to be developed in an effort to build and develop a good farming practice model. This paper explains the development of agricultural mechanization in Indonesia, particularly on rice production. The method of the research was analyze secondary data, tabulation and interpretation. The result showed, there was a variety of tools and agricultural machinery that have been produced and used by farmers to support national food security. The role of mechanization was needed to support national rice production and food security achievement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=farming" title="farming">farming</a>, <a href="https://publications.waset.org/abstracts/search?q=Indonesia" title=" Indonesia"> Indonesia</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanization" title=" mechanization"> mechanization</a>, <a href="https://publications.waset.org/abstracts/search?q=rice" title=" rice "> rice </a> </p> <a href="https://publications.waset.org/abstracts/34494/a-critical-review-of-mechanization-in-rice-farming-in-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34494.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">495</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">744</span> Spatial Pattern of Farm Mechanization: A Micro Level Study of Western Trans-Ghaghara Plain, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zafar%20Tabrez">Zafar Tabrez</a>, <a href="https://publications.waset.org/abstracts/search?q=Nizamuddin%20Khan"> Nizamuddin Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Agriculture in India in the pre-green revolution period was mostly controlled by terrain, climate and edaphic factors. But after the introduction of innovative factors and technological inputs, green revolution occurred and agricultural scene witnessed great change. In the development of India’s agriculture, speedy, and extensive introduction of technological change is one of the crucial factors. The technological change consists of adoption of farming techniques such as use of fertilisers, pesticides and fungicides, improved variety of seeds, modern agricultural implements, improved irrigation facilities, contour bunding for the conservation of moisture and soil, which are developed through research and calculated to bring about diversification and increase of production and greater economic return to the farmers. The green revolution in India took place during late 60s, equipped with technological inputs like high yielding varieties seeds, assured irrigation as well as modern machines and implements. Initially the revolution started in Punjab, Haryana and western Uttar Pradesh. With the efforts of government, agricultural planners, as well as policy makers, the modern technocratic agricultural development scheme was also implemented and introduced in backward and marginal regions of the country later on. Agriculture sector occupies the centre stage of India’s social security and overall economic welfare. The country has attained self-sufficiency in food grain production and also has sufficient buffer stock. Our first Prime Minister, Jawaharlal Nehru said ‘everything else can wait but not agriculture’. There is still a continuous change in the technological inputs and cropping patterns. Keeping these points in view, author attempts to investigate extensively the mechanization of agriculture and the change by selecting western Trans-Ghaghara plain as a case study and block a unit of the study. It includes the districts of Gonda, Balrampur, Bahraich and Shravasti which incorporate 44 blocks. It is based on secondary sources of data by blocks for the year 1997 and 2007. It may be observed that there is a wide range of variations and the change in farm mechanization, i.e., agricultural machineries such as ploughs, wooden and iron, advanced harrow and cultivator, advanced thrasher machine, sprayers, advanced sowing instrument, and tractors etc. It may be further noted that due to continuous decline in size of land holdings and outflux of people for the same nature of works or to be employed in non-agricultural sectors, the magnitude and direction of agricultural systems are affected in the study area which is one of the marginalized regions of Uttar Pradesh, India. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agriculture" title="agriculture">agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=technological%20inputs" title=" technological inputs"> technological inputs</a>, <a href="https://publications.waset.org/abstracts/search?q=farm%20mechanization" title=" farm mechanization"> farm mechanization</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20production" title=" food production"> food production</a>, <a href="https://publications.waset.org/abstracts/search?q=cropping%20pattern" title=" cropping pattern"> cropping pattern</a> </p> <a href="https://publications.waset.org/abstracts/15290/spatial-pattern-of-farm-mechanization-a-micro-level-study-of-western-trans-ghaghara-plain-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15290.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">312</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">743</span> Sustainable Crop Mechanization among Small Scale Rural Farmers in Nigeria: The Hurdles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Charles%20Iledun%20Oyewole">Charles Iledun Oyewole</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The daunting challenge that the ‘man with the hoe’ is going to face in the coming decades will be complex and interwoven. With global population already above 7 billion people, it has been estimated that food (crop) production must more than double by 2050 to meet up with the world’s food requirements. Nigeria population is also expected to reach over 240 million people by 2050, at the current annual population growth of 2.61 per cent. The country’s farming population is estimated at over 65 per cent, but the country still depends on food importation to complement production. The small scale farmer, who depends on simple hand tools: hoes and cutlasses, remains the centre of agricultural production, accounting for 90 per cent of the total agricultural output and 80 per cent of the market flow. While the hoe may have been a tool for sustainable development at a time in human history, this role has been smothered by population growth, which has brought too many mouths to be fed (over 170 million), as well as many industries to fuel with raw materials. It may then be argued that the hoe is unfortunately not a tool for the coming challenges and that agricultural mechanization should be the focus. However, agriculture as an enterprise is a ‘complete wheel’ which does not work when broken, particularly, in respect to mechanization. Generally, mechanization will prompt increase production, where land is readily available; increase production, will require post-harvest handling mechanisms, crop processing and subsequent storage. An important aspect of this is readily available and favourable markets for such produce; fuel by good agricultural policies. A break in this wheel will lead to the process of mechanization crashing back to subsistence production, and probably reversal to the hoe. The focus of any agricultural policy should be to chart a course for sustainable mechanization that is environmentally friendly, that may ameliorate Nigeria’s food and raw material gaps. This is the focal point of this article. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Crop%20production" title="Crop production">Crop production</a>, <a href="https://publications.waset.org/abstracts/search?q=Farmer" title=" Farmer"> Farmer</a>, <a href="https://publications.waset.org/abstracts/search?q=Hoes" title=" Hoes"> Hoes</a>, <a href="https://publications.waset.org/abstracts/search?q=Mechanization" title=" Mechanization"> Mechanization</a>, <a href="https://publications.waset.org/abstracts/search?q=Policy%20framework" title=" Policy framework"> Policy framework</a>, <a href="https://publications.waset.org/abstracts/search?q=Population" title=" Population"> Population</a>, <a href="https://publications.waset.org/abstracts/search?q=Growth" title=" Growth"> Growth</a>, <a href="https://publications.waset.org/abstracts/search?q=Rural%20areas" title=" Rural areas"> Rural areas</a> </p> <a href="https://publications.waset.org/abstracts/131888/sustainable-crop-mechanization-among-small-scale-rural-farmers-in-nigeria-the-hurdles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131888.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">222</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">742</span> Environmental Risk Assessment of Mechanization Waste Collection Scheme in Tehran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amin%20Padash">Amin Padash</a>, <a href="https://publications.waset.org/abstracts/search?q=Javad%20Kazem%20Zadeh%20Khoiy"> Javad Kazem Zadeh Khoiy</a>, <a href="https://publications.waset.org/abstracts/search?q=Hossein%20Vahidi"> Hossein Vahidi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: The mechanization system for the urban services was implemented in Tehran City in the year 2004 to promote the collection of domestic wastes; in 2010, in order to achieve the objectives of the project of urban services mechanization and qualitative promotion and improve the urban living environment, sustainable development and optimization of the recyclable solid wastes collection systems as well as other dry and non-organic wastes and conformity of the same to the modern urban management methods regarding integration of the mechanized urban services contractors and recycling contractors and in order to better and more correct fulfillment of the waste separation and considering the success of the mechanization plan of the dry wastes in most of the modern countries. The aim of this research is analyzing of Environmental Risk Assessment of the mechanization waste collection scheme in Tehran. Case Study: Tehran, the capital of Iran, with the population of 8.2 million people, occupies 730 km land expanse, which is 4% of total area of country. Tehran generated 2,788,912 ton (7,641 ton/day) of waste in year 2008. Hospital waste generation rate in Tehran reaches 83 ton/day. Almost 87% of total waste was disposed of by placing in a landfill located in Kahrizak region. This large amount of waste causes a significant challenge for the city. Methodology: To conduct the study, the methodology proposed in the standard Mil-St-88213 is used. This method is an efficient method to examine the position in opposition to the various processes and the action is effective. The method is based on the method of Military Standard and Specialized in the military to investigate and evaluate options to locate and identify the strengths and weaknesses of powers to decide on the best determining strategy has been used. Finding and Conclusion: In this study, the current status of mechanization systems to collect waste and identify its possible effects on the environment through a survey and assessment methodology Mil-St-88213, and then the best plan for action and mitigation of environmental risk has been proposed as Environmental Management Plan (EMP). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=environmental%20risk%20assessment" title="environmental risk assessment">environmental risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanization%20waste%20collection%20scheme" title=" mechanization waste collection scheme"> mechanization waste collection scheme</a>, <a href="https://publications.waset.org/abstracts/search?q=Mil-St-88213" title=" Mil-St-88213"> Mil-St-88213</a> </p> <a href="https://publications.waset.org/abstracts/27515/environmental-risk-assessment-of-mechanization-waste-collection-scheme-in-tehran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27515.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">439</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">741</span> On-Farm Diversification in Vietnam: Determinants and Trends</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Diep%20Thanh%20Tung">Diep Thanh Tung</a>, <a href="https://publications.waset.org/abstracts/search?q=Joachim%20Aurbacher"> Joachim Aurbacher</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to measure the level of on-farm diversification in Vietnam. The empirical results of the research carried out reflect regional differences in terms of on-farm diversification and its determinants. Households in the northern regions have adapted to the fragmented and small-sized parcels of land held by diversifying their on-farm activities. In contrast, the Mekong delta region in the south of Vietnam is characterized by larger agricultural parcels and a specialization in rice production. Land use fragmentation, as reflected by a large number of plots in a given area, is one of the most important reasons for the high levels of on-farm diversification seen, while the higher share of non-farm income in total income is the reason of lower levels of on-farm diversification. Households have reacted to natural and economic shocks by diversifying their on-farm activities. The non-stationary Markov chain model used here shows various diversification scenarios and trends. In most cases, on-farm diversification generally tends to reduce over the next few years. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diversification" title="diversification">diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=simpson%20index" title=" simpson index"> simpson index</a>, <a href="https://publications.waset.org/abstracts/search?q=fixed%20effects" title=" fixed effects"> fixed effects</a>, <a href="https://publications.waset.org/abstracts/search?q=non-stationary%20markov%20chain" title=" non-stationary markov chain"> non-stationary markov chain</a> </p> <a href="https://publications.waset.org/abstracts/22799/on-farm-diversification-in-vietnam-determinants-and-trends" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22799.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">485</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">740</span> Economics of Precision Mechanization in Wine and Table Grape Production</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dean%20A.%20McCorkle">Dean A. McCorkle</a>, <a href="https://publications.waset.org/abstracts/search?q=Ed%20W.%20Hellman"> Ed W. Hellman</a>, <a href="https://publications.waset.org/abstracts/search?q=Rebekka%20M.%20Dudensing"> Rebekka M. Dudensing</a>, <a href="https://publications.waset.org/abstracts/search?q=Dan%20D.%20Hanselka"> Dan D. Hanselka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The motivation for this study centers on the labor- and cost-intensive nature of wine and table grape production in the U.S., and the potential opportunities for precision mechanization using robotics to augment those production tasks that are labor-intensive. The objectives of this study are to evaluate the economic viability of grape production in five U.S. states under current operating conditions, identify common production challenges and tasks that could be augmented with new technology, and quantify a maximum price for new technology that growers would be able to pay. Wine and table grape production is primed for precision mechanization technology as it faces a variety of production and labor issues. Methodology: Using a grower panel process, this project includes the development of a representative wine grape vineyard in five states and a representative table grape vineyard in California. The panels provided production, budget, and financial-related information that are typical for vineyards in their area. Labor costs for various production tasks are of particular interest. Using the data from the representative budget, 10-year projected financial statements have been developed for the representative vineyard and evaluated using a stochastic simulation model approach. Labor costs for selected vineyard production tasks were evaluated for the potential of new precision mechanization technology being developed. These tasks were selected based on a variety of factors, including input from the panel members, and the extent to which the development of new technology was deemed to be feasible. The net present value (NPV) of the labor cost over seven years for each production task was derived. This allowed for the calculation of a maximum price for new technology whereby the NPV of labor costs would equal the NPV of purchasing, owning, and operating new technology. Expected Results: The results from the stochastic model will show the projected financial health of each representative vineyard over the 2015-2024 timeframe. Investigators have developed a preliminary list of production tasks that have the potential for precision mechanization. For each task, the labor requirements, labor costs, and the maximum price for new technology will be presented and discussed. Together, these results will allow technology developers to focus and prioritize their research and development efforts for wine and table grape vineyards, and suggest opportunities to strengthen vineyard profitability and long-term viability using precision mechanization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=net%20present%20value" title="net present value">net present value</a>, <a href="https://publications.waset.org/abstracts/search?q=robotic%20technology" title=" robotic technology"> robotic technology</a>, <a href="https://publications.waset.org/abstracts/search?q=stochastic%20simulation" title=" stochastic simulation"> stochastic simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=wine%20and%20table%20grapes" title=" wine and table grapes"> wine and table grapes</a> </p> <a href="https://publications.waset.org/abstracts/70990/economics-of-precision-mechanization-in-wine-and-table-grape-production" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70990.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">260</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">739</span> Modeling and Simulation for Infection Processes of Bird Flu within a Poultry Farm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tertia%20Delia%20Nova">Tertia Delia Nova</a>, <a href="https://publications.waset.org/abstracts/search?q=Masaji%20Watanabge"> Masaji Watanabge</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Infection of bird flu within a poultry farm involves hosts, virus, and medium. Intrusion of bird flu into a poultry farm divides the population into two groups; healthy and susceptible chickens and infected chickens. A healthy and susceptible bird is infected to become an infected bird. Bird flu viruses spread among chickens through medium such as air and droppings, and increase in hosts. A model for an infection process of bird flu within a poultry farm is described, numerical techniques are illustrated, and numerical results are introduced. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bird%20flu" title="bird flu">bird flu</a>, <a href="https://publications.waset.org/abstracts/search?q=poultry%20farm" title=" poultry farm"> poultry farm</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20for%20an%20infection%20process" title=" model for an infection process"> model for an infection process</a>, <a href="https://publications.waset.org/abstracts/search?q=flu%20viruses" title=" flu viruses "> flu viruses </a> </p> <a href="https://publications.waset.org/abstracts/10493/modeling-and-simulation-for-infection-processes-of-bird-flu-within-a-poultry-farm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10493.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">256</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">738</span> Risk Measurement and Management Strategies in Poultry Farm Enterprises in Imo State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Donatus%20Otuiheoma%20Ohajianya">Donatus Otuiheoma Ohajianya</a>, <a href="https://publications.waset.org/abstracts/search?q=Augusta%20Onyekachi%20Unamba"> Augusta Onyekachi Unamba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study analyzed risk among poultry farm enterprises in Imo State of Nigeria. Specifically, it examined sources of risks, the major risks associated with poultry farm enterprise, and the risk-reducing strategies among the poultry farm enterprises in the study area. Primary data collected in 2015 with validated questionnaire from 120 proportionately and randomly selected poultry farm enterprises were used for the study. The data were analyzed with descriptive statistics and W-Statistic that was validated with Pearson Criterion (X2). The results showed that major risk sources affecting poultry farm enterprises were production, marketing, financial and political in that order. The results found a W-Statistic value of 0.789, which was verified by Pearson Criterion to obtain X2-Calculated value of 4.65 which is lower that X2-Critical value of 11.07 at 5% significant level. The risk-reducing strategies were found to be diversification, savings, co-operative marketing, borrowing, and insurance. It was recommended that government and donor agencies should make policies aimed at encouraging poultry farm enterprises adopt the highlighted risk-reducing strategies in risk management to improve their productivity and farm income. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk" title="risk">risk</a>, <a href="https://publications.waset.org/abstracts/search?q=measurement" title=" measurement"> measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=management" title=" management"> management</a>, <a href="https://publications.waset.org/abstracts/search?q=poultry%20farm" title=" poultry farm"> poultry farm</a>, <a href="https://publications.waset.org/abstracts/search?q=Imo%20State" title=" Imo State"> Imo State</a> </p> <a href="https://publications.waset.org/abstracts/55391/risk-measurement-and-management-strategies-in-poultry-farm-enterprises-in-imo-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55391.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">300</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">737</span> Off-Farm Work and Cost Efficiency in Staple Food Production among Small-Scale Farmers in North Central Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20E.%20Ogbanje">C. E. Ogbanje</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20A.%20N.%20D.%20Chidebelu"> S. A. N. D. Chidebelu</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20J.%20Nweze"> N. J. Nweze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study evaluated off-farm work and cost efficiency in staple food production among small-scale farmers in North Central Nigeria. Multistage sampling technique was used to select 360 respondents (participants and non-participants in off-farm work). Primary data obtained were analysed using stochastic cost frontier and test of means’ difference. Capital input was lower for participants (N2,596.58) than non-participants (N11,099.14). Gamma (γ) was statistically significant. Farm size significantly (p<0.01) increased cost outlay for participants and non-participants. Average input prices of enterprises one and two significantly (p<0.01) increased cost. Sex, household size, credit obtained, formal education, farming experience, and farm income significantly (p<0.05) reduced cost inefficiency for non-participants. Average cost efficiency was 11%. Farm capital was wasted. Participants’ substitution of capital for labour did not put them at a disadvantage. Extension agents should encourage farmers to obtain financial relief from off-farm work but not to the extent of endangering farm cost efficiency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cost%20efficiency" title="cost efficiency">cost efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=mean%20difference" title=" mean difference"> mean difference</a>, <a href="https://publications.waset.org/abstracts/search?q=North%20Central%20Nigeria" title=" North Central Nigeria"> North Central Nigeria</a>, <a href="https://publications.waset.org/abstracts/search?q=off-farm%20work" title=" off-farm work"> off-farm work</a>, <a href="https://publications.waset.org/abstracts/search?q=participants%20and%20non-participants" title=" participants and non-participants"> participants and non-participants</a>, <a href="https://publications.waset.org/abstracts/search?q=small-scale%20farmers" title=" small-scale farmers"> small-scale farmers</a> </p> <a href="https://publications.waset.org/abstracts/14062/off-farm-work-and-cost-efficiency-in-staple-food-production-among-small-scale-farmers-in-north-central-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14062.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">362</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">736</span> Agricultural Mechanization for Transformation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lawrence%20Gumbe">Lawrence Gumbe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Kenya Vision 2030 is the country's programme for transformation covering the period 2008 to 2030. Its objective is to help transform Kenya into a newly industrializing, middle-income, exceeding US$10000, country providing a high quality of life to all its citizens by 2030, in a clean and secure environment. Increased agricultural and production and productivity is crucial for the realization of Vision 2030. Mechanization of agriculture in order to achieve greater yields is the only way to achieve these objectives. There are contending groups and views on the strategy for agricultural mechanization. The first group are those who oppose the widespread adoption of advanced technologies (mostly internal combustion engines and tractors) in agricultural mechanization as entirely inappropriate in most situations in developing countries. This group argues that mechanically powered -agricultural mechanization often leads to displacement of labour and hence increased unemployment, and this results in a host of other socio-economic problems, amongst them, rural-urban migration, inequitable distribution of wealth and in many cases an increase in absolute poverty, balance of payments due to the need to import machinery, fuel and sometimes technical assistance to manage them. The second group comprises of those who view the use of the improved hand tools and animal powered technology as transitional step between the most rudimentary step in technological development (characterized by entire reliance on human muscle power) and the advanced technologies (characterized 'by reliance on tractors and other machinery). The third group comprises those who regard these intermediate technologies (ie. improved hand tools and draught animal technology in agriculture) as a ‘delaying’ tactic and they advocate the use of mechanical technologies as-the most appropriate. This group argues that alternatives to the mechanical technologies do not just exist as a practical matter, or, if they are available, they are inefficient and they cannot be compared to the mechanical technologies in terms of economics and productivity. The fourth group advocates a compromise between groups two and third above. This group views the improved hand tools and draught animal technology as more of an 18th century technology and the modem tractor and combine harvester as too advanced for developing countries. This group has been busy designing an ‘intermediate’, ‘appropriate’, ‘mini’, ‘micro’ tractor for use by farmers in developing countries. This paper analyses and concludes on the different agricultural mechanization strategies available to Kenya and other third world countries <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agriculture" title="agriculture">agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanazation" title=" mechanazation"> mechanazation</a>, <a href="https://publications.waset.org/abstracts/search?q=transformation" title=" transformation"> transformation</a>, <a href="https://publications.waset.org/abstracts/search?q=industrialization" title=" industrialization"> industrialization</a> </p> <a href="https://publications.waset.org/abstracts/29077/agricultural-mechanization-for-transformation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29077.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">338</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">735</span> The Sustainability of Farm Forestry Management in Bulukumba Regency, South Sulawesi, Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nuraeni">Nuraeni</a>, <a href="https://publications.waset.org/abstracts/search?q=Suryanti"> Suryanti</a>, <a href="https://publications.waset.org/abstracts/search?q=Saida"> Saida</a>, <a href="https://publications.waset.org/abstracts/search?q=Annas%20Boceng"> Annas Boceng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Farm forestry is a forest where farmers or landowners do cultivation and farming activities on their land. This study aims to determine the dimensions of sustainable development of farm forestry and to analyze the leverage factors to improve the sustainability status of farm forestry management in Bulukumba Regency. This research was conducted in Kajang District, Bulukumba Regency. The analysis of the sustainability of farm forestry management applied Multi-Dimensional Scaling (MDS), a modification of the Rapid Appraisal of The Status of Farming (RAPFARM). The index value of farm forestry sustainability was by 62.01% for ecological dimension, 51.54% for economic dimension, 61.00% for the social and cultural dimension, and 63.24% for legal and institutional dimension with sustainable enough category status. Meanwhile, the index value for the technology and infrastructure was by 47.16% of less sustainable category status. The result of leverage analysis of attributes for the dimensions of ecological, economic, social and cultural, legal and institutional as well as infrastructure and technology afforded twenty-two (22) leverage sensitive factors that influence the sustainability of farm forestry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=farm%20forestry" title="farm forestry">farm forestry</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Sulawesi" title=" South Sulawesi"> South Sulawesi</a>, <a href="https://publications.waset.org/abstracts/search?q=management" title=" management"> management</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/57068/the-sustainability-of-farm-forestry-management-in-bulukumba-regency-south-sulawesi-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57068.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">367</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">734</span> Household Level Determinants of Rural-Urban Migration in Bangladesh</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shamima%20Akhter">Shamima Akhter</a>, <a href="https://publications.waset.org/abstracts/search?q=Siegfried%20Bauer"> Siegfried Bauer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study is to analyze the migration process of the rural population of Bangladesh. Heckman Probit model with sample selection was applied in this paper to explore the determinants of migration and intensity of migration at farm household level. The farm survey was conducted in the central part of Bangladesh on 160 farm households with migrant and on 154 farm households without migrant including a total of 316 farm households. The results from the applied model revealed that main determinants of migration at farm household level are household age, economically active males and females, number of young and old dependent members in the household and agricultural land holding. On the other hand, the main determinants of intensity of migration are availability of economically adult male in the household, number of young dependents and agricultural land holding. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=determinants" title="determinants">determinants</a>, <a href="https://publications.waset.org/abstracts/search?q=Heckman%20Probit%20model" title=" Heckman Probit model"> Heckman Probit model</a>, <a href="https://publications.waset.org/abstracts/search?q=migration" title=" migration"> migration</a>, <a href="https://publications.waset.org/abstracts/search?q=rural-urban" title=" rural-urban"> rural-urban</a> </p> <a href="https://publications.waset.org/abstracts/4211/household-level-determinants-of-rural-urban-migration-in-bangladesh" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4211.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">310</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">733</span> Assessing the Effect of Grid Connection of Large-Scale Wind Farms on Power System Small-Signal Angular Stability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wenjuan%20Du">Wenjuan Du</a>, <a href="https://publications.waset.org/abstracts/search?q=Jingtian%20Bi"> Jingtian Bi</a>, <a href="https://publications.waset.org/abstracts/search?q=Tong%20Wang"> Tong Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Haifeng%20Wang"> Haifeng Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Grid connection of a large-scale wind farm affects power system small-signal angular stability in two aspects. Firstly, connection of the wind farm brings about the change of load flow and configuration of a power system. Secondly, the dynamic interaction is introduced by the wind farm with the synchronous generators (SGs) in the power system. This paper proposes a method to assess the two aspects of the effect of the wind farm on power system small-signal angular stability. The effect of the change of load flow/system configuration brought about by the wind farm can be examined separately by displacing wind farms with constant power sources, then the effect of the dynamic interaction of the wind farm with the SGs can be also computed individually. Thus, a clearer picture and better understanding on the power system small-signal angular stability as affected by grid connection of the large-scale wind farm are provided. In the paper, an example power system with grid connection of a wind farm is presented to demonstrate the proposed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=power%20system%20small-signal%20angular%20stability" title="power system small-signal angular stability">power system small-signal angular stability</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20system%20low-frequency%20oscillations" title=" power system low-frequency oscillations"> power system low-frequency oscillations</a>, <a href="https://publications.waset.org/abstracts/search?q=electromechanical%20oscillation%20modes" title=" electromechanical oscillation modes"> electromechanical oscillation modes</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20farms" title=" wind farms"> wind farms</a>, <a href="https://publications.waset.org/abstracts/search?q=double%20fed%20induction%20generator%20%28DFIG%29" title=" double fed induction generator (DFIG)"> double fed induction generator (DFIG)</a> </p> <a href="https://publications.waset.org/abstracts/44871/assessing-the-effect-of-grid-connection-of-large-scale-wind-farms-on-power-system-small-signal-angular-stability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44871.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">483</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">732</span> General Mathematical Framework for Analysis of Cattle Farm System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Krzysztof%20%20Pomorski">Krzysztof Pomorski</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the given work we present universal mathematical framework for modeling of cattle farm system that can set and validate various hypothesis that can be tested against experimental data. The presented work is preliminary but it is expected to be valid tool for future deeper analysis that can result in new class of prediction methods allowing early detection of cow dieseaes as well as cow performance. Therefore the presented work shall have its meaning in agriculture models and in machine learning as well. It also opens the possibilities for incorporation of certain class of biological models necessary in modeling of cow behavior and farm performance that might include the impact of environment on the farm system. Particular attention is paid to the model of coupled oscillators that it the basic building hypothesis that can construct the model showing certain periodic or quasiperiodic behavior. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coupled%20ordinary%20differential%20equations" title="coupled ordinary differential equations">coupled ordinary differential equations</a>, <a href="https://publications.waset.org/abstracts/search?q=cattle%20farm%20system" title=" cattle farm system"> cattle farm system</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20methods" title=" numerical methods"> numerical methods</a>, <a href="https://publications.waset.org/abstracts/search?q=stochastic%20differential%20equations" title=" stochastic differential equations"> stochastic differential equations</a> </p> <a href="https://publications.waset.org/abstracts/124101/general-mathematical-framework-for-analysis-of-cattle-farm-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/124101.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">145</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">731</span> Farm Diversification and the Corresponding Policy for Its Implementation in Georgia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Kharaishvili">E. Kharaishvili</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper shows the necessity of farm diversification in accordance with the current trends in agricultural sector of Georgia. The possibilities for the diversification and the corresponding economic policy are suggested. The causes that hinder diversification of farms are revealed, possibilities of diversification are suggested and the ability of increasing employment through diversification is proved. Index of harvest diversification is calculated based on the areas used for cereals and legumes, potatoes and vegetables and other food crops. Crop and livestock production indexes are analyzed, correlation between crop capacity index and value-added per one worker and one ha is studied. Based on the research farm diversification strategies and priorities of corresponding economic policy are presented. Based on the conclusions relevant recommendations are suggested. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=farm%20diversification" title="farm diversification">farm diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=diversification%20index" title=" diversification index"> diversification index</a>, <a href="https://publications.waset.org/abstracts/search?q=agricultural%20development%20policy" title=" agricultural development policy"> agricultural development policy</a> </p> <a href="https://publications.waset.org/abstracts/26661/farm-diversification-and-the-corresponding-policy-for-its-implementation-in-georgia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26661.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">464</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">730</span> Study for an Optimal Cable Connection within an Inner Grid of an Offshore Wind Farm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Je-Seok%20Shin">Je-Seok Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=Wook-Won%20Kim"> Wook-Won Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin-O%20Kim"> Jin-O Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The offshore wind farm needs to be designed carefully considering economics and reliability aspects. There are many decision-making problems for designing entire offshore wind farm, this paper focuses on an inner grid layout which means the connection between wind turbines as well as between wind turbines and an offshore substation. A methodology proposed in this paper determines the connections and the cable type for each connection section using K-clustering, minimum spanning tree and cable selection algorithms. And then, a cost evaluation is performed in terms of investment, power loss and reliability. Through the cost evaluation, an optimal layout of inner grid is determined so as to have the lowest total cost. In order to demonstrate the validity of the methodology, the case study is conducted on 240MW offshore wind farm, and the results show that it is helpful to design optimally offshore wind farm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=offshore%20wind%20farm" title="offshore wind farm">offshore wind farm</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20layout" title=" optimal layout"> optimal layout</a>, <a href="https://publications.waset.org/abstracts/search?q=k-clustering%20algorithm" title=" k-clustering algorithm"> k-clustering algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=minimum%20spanning%20algorithm" title=" minimum spanning algorithm"> minimum spanning algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=cable%20type%20selection" title=" cable type selection"> cable type selection</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20loss%20cost" title=" power loss cost"> power loss cost</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20cost" title=" reliability cost "> reliability cost </a> </p> <a href="https://publications.waset.org/abstracts/39131/study-for-an-optimal-cable-connection-within-an-inner-grid-of-an-offshore-wind-farm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39131.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">729</span> A Method of Manufacturing Low Cost Utility Robots and Vehicles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gregory%20E.%20Ofili">Gregory E. Ofili</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction and Objective: Climate change and a global economy mean farmers must adapt and gain access to affordable and reliable automation technologies. Key barriers include a lack of transportation, electricity, and internet service, coupled with costly enabling technologies and limited local subject matter expertise. Methodology/Approach: Resourcefulness is essential to mechanization on a farm. This runs contrary to the tech industry practice of planned obsolescence and disposal. One solution is plug-and-play hardware that allows farmer to assemble, repair, program, and service their own fleet of industrial machines. To that end, we developed a method of manufacturing low-cost utility robots, transport vehicles, and solar/wind energy harvesting systems, all running on an open-source Robot Operating System (ROS). We demonstrate this technology by fabricating a utility robot and an all-terrain (4X4) utility vehicle. Constructed of aluminum trusses and weighing just 40 pounds, yet capable of transporting 200 pounds of cargo, on sale for less than $2,000. Conclusions & Policy Implications: Electricity, internet, and automation are essential for productivity and competitiveness. With planned obsolescence, the priorities of technology suppliers are not aligned with the farmer’s realities. This patent-pending method of manufacturing low-cost industrial robots and electric vehicles has met its objective. To create low-cost machines, the farmer can assemble, program, and repair with basic hand tools. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automation" title="automation">automation</a>, <a href="https://publications.waset.org/abstracts/search?q=robotics" title=" robotics"> robotics</a>, <a href="https://publications.waset.org/abstracts/search?q=utility%20robot" title=" utility robot"> utility robot</a>, <a href="https://publications.waset.org/abstracts/search?q=small-hold%20farm" title=" small-hold farm"> small-hold farm</a>, <a href="https://publications.waset.org/abstracts/search?q=robot%20operating%20system" title=" robot operating system"> robot operating system</a> </p> <a href="https://publications.waset.org/abstracts/166220/a-method-of-manufacturing-low-cost-utility-robots-and-vehicles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166220.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">70</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">728</span> Analysis of Farm Management Skills in Broiler Poultry Producers in Botswana</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Som%20Pal%20Baliyan">Som Pal Baliyan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this quantitative study was to analyze farm management skills in broiler poultryproducers in Botswana. The study adopted a descriptive and correlation research design. The population of the study was the poultry farm operators who had been in broiler poultry farming at least for two years. Based on the information from literature, a questionnaire was constructed for data collection on seven areas of farm management skills namely; planning skills, accounting and financial management skills, production management skills, product procurement and marketing skills, decision making skills, risk management skills, and specific technical skills. The validity and reliability of the questionnaire were accomplished by a panel of experts and by calculating the Cronbach’s alpha coefficient, respectively. Data were collected through a survey of 60 randomly sampled poultry farm operators in Botswana. Data were analyzed through descriptive statistical tools whereby the level of farm management skills were determined by calculating means and standard deviations of the management skills among the broiler producers. The level of farm management skills in broilers producers was discussed. All the seven farm management skills were ranked based on their calculated means. The specific technical skills and risk management skills were the highest and the lowest ranked farm management skills, respectively.Findings revealed that the broiler producers had skills above the average level only in specific technical skills whereas the skill levels in the remaining six farm management skills under study were found below the average level. This prevailing low level of farm management skills can be justified asthe cause of failure or poor performance of the broiler poultry farms in Botswana. Therefore, in order to improve the efficiency and productivityin broiler production in the country, it was recommended that the broiler poultry producers should be adequately trained in areas of planning skills, financial management skills, production management skills, product procurement and marketing skills, decision making skills and risk management skills. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=poultry%20production" title="poultry production">poultry production</a>, <a href="https://publications.waset.org/abstracts/search?q=broiler%20production" title=" broiler production"> broiler production</a>, <a href="https://publications.waset.org/abstracts/search?q=management%20skills" title=" management skills"> management skills</a>, <a href="https://publications.waset.org/abstracts/search?q=levels%20of%20skills" title=" levels of skills"> levels of skills</a> </p> <a href="https://publications.waset.org/abstracts/36860/analysis-of-farm-management-skills-in-broiler-poultry-producers-in-botswana" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36860.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">727</span> Agroecological and Socioeconomic Determinants of Conserving Diversity On-Farm: The Case of Wheat Genetic Resources in Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bedilu%20Tafesse">Bedilu Tafesse</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Conservation of crop genetic resources presents a challenge of identifying specific determinants driving maintenance of diversity at farm and agroecosystems. The objectives of this study were to identify socioeconomic, market and agroecological determinants of farmers’ maintenance of wheat diversity at the household level and derive implications for policies in designing on-farm conservation programs. We assess wheat diversity at farm level using household survey data. A household decision making model is conceptualized using microeconomic theory to assess and identify factors influencing on-farm rice diversity. The model is then tested econometrically by using various factors affecting farmers’ variety choice and diversity decisions. The findings show that household-specific socioeconomic, agroecological and market factors are important in determining on-farm wheat diversity. The significant variables in explaining richness and evenness of wheat diversity include distance to the nearest market, subsistence ratio, modern variety sold, land types and adult labour working in agriculture. The statistical signs of the factors determining wheat diversity are consistent in explaining the richness, dominance and evenness among rice varieties. Finally, the study implies that the cost-effective means of promoting and sustaining on-farm conservation programmes is to target them in market isolated geographic locations of high crop diversity where farm households have more heterogeneity of agroecological conditions and more active family adult labour working on-farm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diversity%20indices" title="diversity indices">diversity indices</a>, <a href="https://publications.waset.org/abstracts/search?q=dominance" title=" dominance"> dominance</a>, <a href="https://publications.waset.org/abstracts/search?q=evenness" title=" evenness"> evenness</a>, <a href="https://publications.waset.org/abstracts/search?q=on-farm%20conservation" title=" on-farm conservation"> on-farm conservation</a>, <a href="https://publications.waset.org/abstracts/search?q=wheat%20diversity" title=" wheat diversity"> wheat diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=richness" title=" richness"> richness</a> </p> <a href="https://publications.waset.org/abstracts/10481/agroecological-and-socioeconomic-determinants-of-conserving-diversity-on-farm-the-case-of-wheat-genetic-resources-in-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10481.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">308</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">726</span> Some Factors Affecting to Farm Size of Duck Farming</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Veronica%20Sri%20Lestari">Veronica Sri Lestari</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Ramadhan%20Siregar"> Ahmad Ramadhan Siregar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this research was to know some factors affecting farm size of duck farming (case study in Pinrang district, South Sulawesi). This research was conducted in 2013. Total sample was 45 duck farmers which were selected from 6 regions in Mattiro Sompe sub district, Pinrang district, South Sulawesi province through stratified random sampling. Data were collected through interviews using questionnaires and observation. Multiple regression equation was used to analyze the data. Dependent variable was duck population, while age of respondents, farming experience, land size, education, and income level as independent variables. This research revealed that R2 was 0.920. Simultaneously, age of respondents, farming experience, land size, education, and income level significantly influenced farm size of duck farming (P < 1%). Only income influenced farm size of duck farming (P < 1%). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=duck" title="duck">duck</a>, <a href="https://publications.waset.org/abstracts/search?q=dry%20system" title=" dry system"> dry system</a>, <a href="https://publications.waset.org/abstracts/search?q=factors" title=" factors"> factors</a>, <a href="https://publications.waset.org/abstracts/search?q=farm-size" title=" farm-size"> farm-size</a> </p> <a href="https://publications.waset.org/abstracts/34034/some-factors-affecting-to-farm-size-of-duck-farming" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34034.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">504</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">725</span> Villar Settlement Farm School for the Aetas: Assimilation through American Colonial Education in Zambales, Philippines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Julian%20E.%20Abuso">Julian E. Abuso</a>, <a href="https://publications.waset.org/abstracts/search?q=Alberto%20T.%20Paala%20Jr."> Alberto T. Paala Jr.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The creation of settlement farm schools at the outset of American colonization of the Philippines was not a matter of accident; rather, their establishment was a major component of a grand plan on public education based on the benevolent assimilation policy of the United States. This argument is illustrated by the case of Villar Settlement Farm School, a school for the Aetas as a non-Christian tribal community in 1907. The study aims to: (1) identify and describe the antecedents for the establishment of Settlement Farm School, (2) explicate the cultural conflicts encountered by Aetas in school, (3) appraise the consequences of education as acculturation among Aeta population. The study made use of the following: historical data based on primary and secondary sources and life histories from primary informants. The Settlement Farm School for the Aetas was borne out of the American’s change in policy from military to civilian authority, recognition of education as a tool for benevolent assimilation. The narratives of informants manifested resistance to certain aspects of the educational process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=settlement%20farm%20school%20Aetas" title="settlement farm school Aetas">settlement farm school Aetas</a>, <a href="https://publications.waset.org/abstracts/search?q=tribe" title=" tribe"> tribe</a>, <a href="https://publications.waset.org/abstracts/search?q=colonial%20education" title=" colonial education"> colonial education</a>, <a href="https://publications.waset.org/abstracts/search?q=Aeta" title=" Aeta"> Aeta</a>, <a href="https://publications.waset.org/abstracts/search?q=non-Christian%20tribal%20community" title=" non-Christian tribal community"> non-Christian tribal community</a> </p> <a href="https://publications.waset.org/abstracts/66667/villar-settlement-farm-school-for-the-aetas-assimilation-through-american-colonial-education-in-zambales-philippines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66667.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">319</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">724</span> Optimal Type and Installation Time of Wind Farm in a Power System, Considering Service Providers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20H.%20Abedi">M. H. Abedi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Jalilvand"> A. Jalilvand</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The economic development benefits of wind energy may be the most tangible basis for the local and state officials&rsquo; interests. In addition to the direct salaries associated with building and operating wind projects, the wind energy industry provides indirect jobs and benefits. The optimal planning of a wind farm is one most important topic in renewable energy technology. Many methods have been implemented to optimize the cost and output benefit of wind farms, but the contribution of this paper is mentioning different types of service providers and also time of installation of wind turbines during planning horizon years. Genetic algorithm (GA) is used to optimize the problem. It is observed that an appropriate layout of wind farm can cause to minimize the different types of cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title="renewable energy">renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20farm" title=" wind farm"> wind farm</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=planning" title=" planning"> planning</a> </p> <a href="https://publications.waset.org/abstracts/36510/optimal-type-and-installation-time-of-wind-farm-in-a-power-system-considering-service-providers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36510.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">524</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">723</span> Understanding Indonesian Smallholder Dairy Farmers’ Decision to Adopt Multiple Farm: Level Innovations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rida%20Akzar">Rida Akzar</a>, <a href="https://publications.waset.org/abstracts/search?q=Risti%20Permani"> Risti Permani</a>, <a href="https://publications.waset.org/abstracts/search?q=Wahida"> Wahida </a>, <a href="https://publications.waset.org/abstracts/search?q=Wendy%20Umberger"> Wendy Umberger</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Adoption of farm innovations may increase farm productivity, and therefore improve market access and farm incomes. However, most studies that look at the level and drivers of innovation adoption only focus on a specific type of innovation. Farmers may consider multiple innovation options, and constraints such as budget, environment, scarcity of labour supply, and the cost of learning. There have been some studies proposing different methods to combine a broad variety of innovations into a single measurable index. However, little has been done to compare these methods and assess whether they provide similar information about farmer segmentation by their ‘innovativeness’. Using data from a recent survey of 220 dairy farm households in West Java, Indonesia, this study compares and considers different methods of deriving an innovation index, including expert-weighted innovation index; an index derived from the total number of adopted technologies; and an index of the extent of adoption of innovation taking into account both adoption and disadoption of multiple innovations. Second, it examines the distribution of different farming systems taking into account their innovativeness and farm characteristics. Results from this study will inform policy makers and stakeholders in the dairy industry on how to better design, target and deliver programs to improve and encourage farm innovation, and therefore improve farm productivity and the performance of the dairy industry in Indonesia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adoption" title="adoption">adoption</a>, <a href="https://publications.waset.org/abstracts/search?q=dairy" title=" dairy"> dairy</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20survey" title=" household survey"> household survey</a>, <a href="https://publications.waset.org/abstracts/search?q=innovation%20index" title=" innovation index"> innovation index</a>, <a href="https://publications.waset.org/abstracts/search?q=Indonesia" title=" Indonesia"> Indonesia</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20innovations%20dairy" title=" multiple innovations dairy"> multiple innovations dairy</a>, <a href="https://publications.waset.org/abstracts/search?q=West%20Java" title=" West Java "> West Java </a> </p> <a href="https://publications.waset.org/abstracts/42391/understanding-indonesian-smallholder-dairy-farmers-decision-to-adopt-multiple-farm-level-innovations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42391.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">336</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">722</span> Farm Bank: The Leveraging of Capital on a Limpopo Citrus Farm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gabriella%20Vermeulen">Gabriella Vermeulen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper applies a Bourdieusian lens to a Limpopo Citrus farm referred to as Malapeng in order to understand how conflict and authority are reproduced in Malapeng in the larger context of the South African agricultural industry. The South African citrus industry is an export industry, with South Africa being the second largest exporter of citrus in the world. Agriculture in South Africa has undergone extensive liberalisation since 1994, and many historical patterns, such as the racial divide in agriculture and the exploitation of black workers, are still continuously reproduced on farms in South Africa. This chapter looks at the institution of the ‘farm bank’ on Malapeng, which provides loans to workers whose livelihood strategies have been otherwise limited both by the larger agricultural context they are a part of and by the owner of Malapeng. By discussing the role of farm banks in a conflict between two permanent workers, the chapter illustrates how various oppositional discourses are strategically emphasised or de-emphasised at different times by the actors on Malapeng depending on their immediate goals. Farm bank proves to be a nexus of various discourses on Malapeng as the actors on Malapeng all construct farm bank in different (and often contradictory) terms in order to explain their influence and responsibility on Malapeng. The findings of the paper are based on data collected during fieldwork for an MA dissertation and are based on observation and semi-structured interviews conducted in 2021. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agriculture" title="agriculture">agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a>, <a href="https://publications.waset.org/abstracts/search?q=capital" title=" capital"> capital</a>, <a href="https://publications.waset.org/abstracts/search?q=labour" title=" labour"> labour</a> </p> <a href="https://publications.waset.org/abstracts/147653/farm-bank-the-leveraging-of-capital-on-a-limpopo-citrus-farm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147653.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">68</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">721</span> Progress in Replacing Antibiotics in Farm Animal Production</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Debabrata%20Biswas">Debabrata Biswas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current trend in the development of antibiotic resistance by multiple bacterial pathogens has resulted in a troubling loss of effective antibiotic options for human. The emergence of multi-drug-resistant pathogens has necessitated higher dosages and combinations of multiple antibiotics, further exacerbating the problem of antibiotic resistance. Zoonotic bacterial pathogens, such as Salmonella, Campylobacter, Shiga toxin-producing Escherichia coli (such as enterohaemorrhagic E. coli or EHEC), and Listeria are the most common and predominant foodborne enteric infectious agents. It was observed that these pathogens gained/developed their ability to survive in the presence of antibiotics either in farm animal gut or farm environment and researchers believe that therapeutic and sub-therapeutic antibiotic use in farm animal production might play an important role in it. The mechanism of action of antimicrobial components used in farm animal production in genomic interplay in the gut and farm environment, has not been fully characterized. Even the risk of promoting the exchange of mobile genetic elements between microbes specifically pathogens needs to be evaluated in depth, to ensure sustainable farm animal production, safety of our food and to mitigate/limit the enteric infection with multiple antibiotic resistant bacterial pathogens. Due to the consumer’s demand and considering the current emerging situation, many countries are in process to withdraw antibiotic use in farm animal production. Before withdrawing use of the sub-therapeutic antibiotic or restricting the use of therapeutic antibiotics in farm animal production, it is essential to find alternative natural antimicrobials for promoting the growth of farm animal and/or treating animal diseases. Further, it is also necessary to consider whether that compound(s) has the potential to trigger the acquisition or loss of genetic materials in zoonotic and any other bacterial pathogens. Development of alternative therapeutic and sub-therapeutic antimicrobials for farm animal production and food processing and preservation and their effective implementation for sustainable strategies for farm animal production as well as the possible risk for horizontal gene transfer in major enteric pathogens will be focus in the study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=food%20safety" title="food safety">food safety</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20antimicrobial" title=" natural antimicrobial"> natural antimicrobial</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20farming" title=" sustainable farming"> sustainable farming</a>, <a href="https://publications.waset.org/abstracts/search?q=antibiotic%20resistance" title=" antibiotic resistance"> antibiotic resistance</a> </p> <a href="https://publications.waset.org/abstracts/70588/progress-in-replacing-antibiotics-in-farm-animal-production" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70588.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">270</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">720</span> Gendered Effects on Productivity Gap Due to Information Asymmetry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shruti%20Sengupta">Shruti Sengupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> According to the nationally representative data, about 73% of India's rural workforce is engaged in agriculture. While women make significant contributions to total agriculture production, they contribute to about one-third in India. In terms of gender composition, about 80% of the female and 69% of the male workforce is engaged in agriculture in rural India. Still, it is common to find gender differences in plot management within the household. In the last two and half years, India's agri-food system has undergone several changes due to this pandemic, both the demand and supply side, making agriculture more information and knowledge-intensive. Therefore, this paper investigates, using a nationally representative sample, how information asymmetry affects the net returns per hectare of land between female and male farm managers. Empirical results show that information intensity has a significant positive effect on net farm returns per hectare. Results suggest that if females have the same access to technical information as their male counterparts, their farm income can go up by .96 pp compared to male-headed farms. Results also indicate that literate females have higher farm incomes than non-literate females. The study contributes to the literature by employing gender differentials in farm income due to the information gap. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agriculture" title="agriculture">agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=gender" title=" gender"> gender</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20asymmetry" title=" information asymmetry"> information asymmetry</a>, <a href="https://publications.waset.org/abstracts/search?q=farm%20income" title=" farm income"> farm income</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20bias" title=" social bias"> social bias</a> </p> <a href="https://publications.waset.org/abstracts/153772/gendered-effects-on-productivity-gap-due-to-information-asymmetry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153772.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">142</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">719</span> Gendered Effects on Productivity Gap Due to Information Asymmetry in India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shruti%20Sengupta">Shruti Sengupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> According to the nationally representative data, about 73% of India's rural workforce is engaged in agriculture. While women make significant contributions to total agriculture production, they contribute to about one-third in India. In terms of gender composition, about 80% of the female and 69% of the male workforce is engaged in agriculture in rural India. Still, it is common to find gender differences in plot management within the household. In the last two and half years, India's agri-food system has undergone several changes due to this pandemic, both the demand and supply side, making agriculture more information and knowledge-intensive. Therefore, this paper investigates, using a nationally representative sample, how information asymmetry affects the net returns per hectare of land between female and male farm managers. Empirical results show that information intensity has a significant positive effect on net farm returns per hectare. Results suggest that if females have the same access to technical information as their male counterparts, their farm income can go up by .96 pp compared to male-headed farms. Results also indicate that literate females have higher farm incomes than non-literate females. The study contributes to the literature by employing gender differentials in farm income due to the information gap. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agriculture" title="agriculture">agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=gender" title=" gender"> gender</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20asymmetry" title=" information asymmetry"> information asymmetry</a>, <a href="https://publications.waset.org/abstracts/search?q=farm%20income" title=" farm income"> farm income</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20bias" title=" social bias"> social bias</a> </p> <a href="https://publications.waset.org/abstracts/154149/gendered-effects-on-productivity-gap-due-to-information-asymmetry-in-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154149.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">104</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">718</span> Investigating Income Diversification Strategies into Off-Farm Activities Among Rural Households in Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kibret%20Berhanu%20Getinet">Kibret Berhanu Getinet</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Off-farm income diversification by farm rural households has gained the attention of researchers and policymakers due to the fact that agriculture failed to meet the needs of people in developing countries like Ethiopia. The objective of this study was to investigate income diversification strategies into off-farm activities among rural households in Hawassa Zuria Woreda, Sidama National Regional State, Ethiopia. The study used primary and secondary data sources for the primary data collection questionnaire employed as a data collection instrument. A multistage sampling technique was used to collect data from a total of 197 sample households from four kebeles of the study area. Descriptive statistics, as well as econometrics methods of data analysis, were employed. The descriptive statistics result indicates that the majority of sample rural households (68.53 %) have engaged in off-farm income diversification activities while the remaining 31.47% of households did not participate in the diversification in the study area. The choice of participants among the strategies indicates that 6.60% of respondents participated in off-farm wage employment, 30.46% participated in off-farm self-employment, and about 31.47% of them participated in both off-farm wage employment. The study revealed that the share of off-farm income in total annual earnings of households was about 48.457%, and thus, the off-farm diversification significantly contributes to the rural household income. Moreover, binary and multinomial logistic regression models were employed to identify factors that affect the participation and the choices of the off-farm income diversification strategies, respectively. The binary logit model result indicated that agro-ecological zone, education status of the households, available technical skills of the household, household saving, total livestock owned by the households, access to electricity, road access and being married of household head were significant and positively affected the chance of diversification in off-farm activities while the on-farm income of households is negatively affected the chance of diversification. Similarly, the multinomial logistic regression model estimate revealed that agroecological zone, on-farm income, available technical skills, household savings, and access to electricity are positively related and significantly influenced the household’s choice of employment into off-farm wage employment. The off-farm self-employment diversification choice is significantly influenced by on-farm income, available technical skills, household savings, total livestock owned, and access to electricity. Moreover, the result showed that the factors that affect the choice of farm households to engage in both off-farm wage and self-employment are ecological zone, education status, on-farm income, available technical skills, household own saving, market access, total livestock owned, access to electricity and road access. Thus, due attention should be given to addressing the demographic, socio-economic, and institutional constraints to strengthen off-farm income diversification strategies to improve the income of rural households. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=off-farm" title="off-farm">off-farm</a>, <a href="https://publications.waset.org/abstracts/search?q=incoem" title=" incoem"> incoem</a>, <a href="https://publications.waset.org/abstracts/search?q=diversification" title=" diversification"> diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=logit%20model" title=" logit model"> logit model</a> </p> <a href="https://publications.waset.org/abstracts/182343/investigating-income-diversification-strategies-into-off-farm-activities-among-rural-households-in-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182343.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">55</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">717</span> Manure Management Systems in Sheep and Goat Farms in Konya, Türkiye</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Selda%20Uzal%20Seyfi">Selda Uzal Seyfi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Goat and sheep milk is quite significant in human nutrition. It is considered as more important day by day. This study was carried out in order to determine applied manure management system and their possibilities of improvement in goat and sheep farm in between 2012 and 2013 years. In the study, it was investigated manure management systems of 25 pieces of sheep and goat farms. It was analyzed the manure collecting, storage and treatment features of farms and whether or not they are suitable for animal breeding. As a result of the study, it was determined that the applied manure management systems in the farm were insufficient. Planning the manure management systems in goat and sheep breeding is appropriate technical criteria is useful in respect of the animal welfare, animal health, the health of workers in the barn and environmental pollution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=goat%20farm" title="goat farm">goat farm</a>, <a href="https://publications.waset.org/abstracts/search?q=sheep%20farm" title=" sheep farm"> sheep farm</a>, <a href="https://publications.waset.org/abstracts/search?q=manure%20storage" title=" manure storage"> manure storage</a>, <a href="https://publications.waset.org/abstracts/search?q=manure%20management" title=" manure management"> manure management</a> </p> <a href="https://publications.waset.org/abstracts/64622/manure-management-systems-in-sheep-and-goat-farms-in-konya-turkiye" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64622.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">405</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">716</span> Wind Farm Power Performance Verification Using Non-Parametric Statistical Inference</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Celeska">M. Celeska</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Najdenkoski"> K. Najdenkoski</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Dimchev"> V. Dimchev</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Stoilkov"> V. Stoilkov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accurate determination of wind turbine performance is necessary for economic operation of a wind farm. At present, the procedure to carry out the power performance verification of wind turbines is based on a standard of the International Electrotechnical Commission (IEC). In this paper, nonparametric statistical inference is applied to designing a simple, inexpensive method of verifying the power performance of a wind turbine. A statistical test is explained, examined, and the adequacy is tested over real data. The methods use the information that is collected by the SCADA system (Supervisory Control and Data Acquisition) from the sensors embedded in the wind turbines in order to carry out the power performance verification of a wind farm. The study has used data on the monthly output of wind farm in the Republic of Macedonia, and the time measuring interval was from January 1, 2016, to December 31, 2016. At the end, it is concluded whether the power performance of a wind turbine differed significantly from what would be expected. The results of the implementation of the proposed methods showed that the power performance of the specific wind farm under assessment was acceptable. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=canonical%20correlation%20analysis" title="canonical correlation analysis">canonical correlation analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20curve" title=" power curve"> power curve</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20performance" title=" power performance"> power performance</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20energy" title=" wind energy"> wind energy</a> </p> <a href="https://publications.waset.org/abstracts/82985/wind-farm-power-performance-verification-using-non-parametric-statistical-inference" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82985.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">336</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=farm%20mechanization&amp;page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=farm%20mechanization&amp;page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=farm%20mechanization&amp;page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=farm%20mechanization&amp;page=5">5</a></li> <li class="page-item"><a class="page-link" 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