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{"work":{"id":6757331,"created_at":"2014-04-14T16:16:15.371-07:00","from_world_paper_id":null,"updated_at":"2025-01-11T16:56:30.608-08:00","_data":{"ai_abstract":"The paper examines the diversity of Indian agriculture shaped by various factors, including climate and economic conditions, and highlights the significance of managing agricultural risks to ensure consistent productivity. It emphasizes the importance of accurate historical crop yield data for effective agricultural risk management and supply chain operations in related industries. The role of data mining and information technology in predicting agricultural yield through precise data collection and analysis is also discussed."},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Final processding Volume 1, Issue 2","broadcastable":true,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [7940458]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "control"; window.loswp.useOptimizedScribd4genScript = false; window.loginModal = {}; window.loginModal.appleClientId = 'edu.academia.applesignon'; window.userInChina = "false";</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":33468121,"attachmentType":"pdf"}"><img alt="First page of “Final processding Volume 1, Issue 2”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/33468121/mini_magick20190401-5889-1b1127j.png?1554172412" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/images/single_work_splash/adobe_icon.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">Final processding Volume 1, Issue 2</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="7940458" href="https://unishivaji.academia.edu/AbhijitRaorane"><img alt="Profile image of Abhijit Raorane" class="ds-work-card--author-avatar" src="//a.academia-assets.com/images/s65_no_pic.png" />Abhijit Raorane</a></div><div class="ds-work-card--detail"><div class="ds-work-card--work-metadata"><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">visibility</span><p class="ds2-5-body-sm" id="work-metadata-view-count">…</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">description</span><p class="ds2-5-body-sm">5 pages</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">link</span><p class="ds2-5-body-sm">1 file</p></div></div><script>(async () => { const workId = 6757331; const worksViewsPath = "/v0/works/views?subdomain_param=api&work_ids%5B%5D=6757331"; const getWorkViews = async (workId) => { const response = await fetch(worksViewsPath); if (!response.ok) { throw new Error('Failed to load work views'); } const data = await response.json(); return data.views[workId]; }; // Get the view count for the work - we send this immediately rather than waiting for // the DOM to load, so it can be available as soon as possible (but without holding up // the backend or other resource requests, because it's a bit expensive and not critical). const viewCount = await getWorkViews(workId); const updateViewCount = (viewCount) => { try { const viewCountNumber = parseInt(viewCount, 10); if (viewCountNumber === 0) { // Remove the whole views element if there are zero views. document.getElementById('work-metadata-view-count')?.parentNode?.remove(); return; } const commaizedViewCount = viewCountNumber.toLocaleString(); const viewCountBody = document.getElementById('work-metadata-view-count'); if (!viewCountBody) { throw new Error('Failed to find work views element'); } viewCountBody.textContent = `${commaizedViewCount} views`; } catch (error) { // Remove the whole views element if there was some issue parsing. document.getElementById('work-metadata-view-count')?.parentNode?.remove(); throw new Error(`Failed to parse view count: ${viewCount}`, error); } }; // If the DOM is still loading, wait for it to be ready before updating the view count. if (document.readyState === "loading") { document.addEventListener('DOMContentLoaded', () => { updateViewCount(viewCount); }); // Otherwise, just update it immediately. } else { updateViewCount(viewCount); } })();</script></div><p class="ds-work-card--detail ds2-5-body-md">AI-generated Abstract</p><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">The paper examines the diversity of Indian agriculture shaped by various factors, including climate and economic conditions, and highlights the significance of managing agricultural risks to ensure consistent productivity. It emphasizes the importance of accurate historical crop yield data for effective agricultural risk management and supply chain operations in related industries. The role of data mining and information technology in predicting agricultural yield through precise data collection and analysis is also discussed.</p><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":33468121,"attachmentType":"pdf","workUrl":"https://www.academia.edu/6757331/Final_processding_Volume_1_Issue_2"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":33468121,"attachmentType":"pdf","workUrl":"https://www.academia.edu/6757331/Final_processding_Volume_1_Issue_2"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div><div class="ds-signup-banner-trigger-container"><div class="ds-signup-banner-trigger ds-signup-banner-trigger-control"></div></div><div class="ds-signup-banner ds-signup-banner-control"><div id="ds-signup-banner-close-button"><button class="ds2-5-button ds2-5-button--secondary ds2-5-button--inverse"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">close</span></button></div><div class="ds-signup-banner-ctas" data-impression-entity-id="6757331" data-impression-entity-type="2" data-impression-source="signup-banner"><img src="//a.academia-assets.com/images/academia-logo-capital-white.svg" /><h4 class="ds2-5-heading-serif-sm">Sign up for access to the world's latest research</h4><button class="ds2-5-button ds2-5-button--inverse ds2-5-button--full-width js-swp-download-button" data-signup-modal="{"location":"signup-banner"}">Sign up for free<span class="material-symbols-outlined" style="font-size: 20px" translate="no">arrow_forward</span></button></div><div class="ds-signup-banner-divider"></div><div class="ds-signup-banner-reasons"><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Get notified about relevant papers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Save papers to use in your research</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Join the discussion with peers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Track your impact</span></div></div></div><script>(() => { // Set up signup banner show/hide behavior: // 1. 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Agriculture is to a great extent affected by some profoundly flighty parameters such as temperature and rainwater in Bangladesh. Growth of agriculture also depends on weather parameters like temperature, rainfall, humidity as well as various soil parameters, soil moisture, surface temperature and crop rotation. Since, now-a day’s Bangladesh is quickly progressing into specialized advancement therefore technology will end up being beneficial to agriculture that will expand crop efficiency which brings about better productions to the farmers. One of those is also an essentially significant task in agricultures’ yield prediction. Before the cultivation process the research suggests different area based beneficial crops. It recommends some crops for a specific territory of land that are financially savvy for farming. Here, the study considered six main c...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Application of Data Mining in Crop Yield Precision","attachmentId":95211902,"attachmentType":"pdf","work_url":"https://www.academia.edu/92115622/Application_of_Data_Mining_in_Crop_Yield_Precision","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/92115622/Application_of_Data_Mining_in_Crop_Yield_Precision"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="43864117" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/43864117/IJERT_Data_Mining_in_Agriculture_A_Novel_Approach">IJERT-Data Mining in Agriculture-A Novel Approach</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="109571315" href="https://independent.academia.edu/IJERTORG">IJERT Journal</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Engineering Research and Technology (IJERT), 2020</p><p class="ds-related-work--abstract ds2-5-body-sm">https://www.ijert.org/data-mining-in-agriculture-a-novel-approach https://www.ijert.org/research/data-mining-in-agriculture-a-novel-approach-IJERTV9IS080107.pdf Data mining is an approach through which in an synchronized manner we can find a workable solution that will be beneficial to increase the growth. The Farmers in agriculture sectors face a lot of issues and difficulties due to the improper understanding and implementation of the activities to enhance their growth and productivity. A large amount of data is available for analyses and scrutiny,however those related to agriculture sector is in a small quantity. Hence segregation and processing of the same from the sources has to be done with proper methodology. Places having multiple grain growth and different soil structure makes it complex to have a perfect estimation of the crops yield both in quantity and quality. Creating a close link between the customer expectation and the producing capabilities of the agriculture sector can be win-win situation at both ends, this can be achieved with capturing data segment wise and in a structured manner. Thus, the customer will be able to fulfil his requirement as per his wish, rather than being satisfied by what is being offered to him. The application of such techniques enables us to predict and make analysis of various problems and helps farmers to make difficult farming decisions based on the conditions, soil fertility, crop duration, disease and other important factors that can result in poor yield production. Agrarian economy can get a boost and can up their financials by making use of such data mining techniques and they can become self-reliant with their needs.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"IJERT-Data Mining in Agriculture-A Novel Approach","attachmentId":64187503,"attachmentType":"pdf","work_url":"https://www.academia.edu/43864117/IJERT_Data_Mining_in_Agriculture_A_Novel_Approach","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/43864117/IJERT_Data_Mining_in_Agriculture_A_Novel_Approach"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="43974343" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/43974343/IRJET_Analysis_of_Agriculture_Data_using_Data_Mining_Techniques">IRJET- Analysis of Agriculture Data using Data Mining Techniques</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="31493941" href="https://irjet.academia.edu/IRJET">IRJET Journal</a></div><p class="ds-related-work--metadata ds2-5-body-xs">IRJET, 2020</p><p class="ds-related-work--abstract ds2-5-body-sm">Agriculture is the backbone of Indian Economy. In meteorology, weather forecasting is a crucial application. In the sector of agriculture where farmers and agri-businesses have to make innumerable decisions every day and intricate complexities involves the various factors influencing them. An essential agricultural planning is needed for the accurate yield guesstimate for the various crops and its quality factor involved. But due to intervention by the human by their artificial industries and constant destruction of natural resources, the climate has been changing rapidly and as a consequence, we are endangering the crops and soil fertility. This results in rapid seasonal changes in rainfall pattern, summer and winter and hence, agriculture and farmers have been suffering from serious destruction of both crops and their livelihoods. For prevention of crop and economic damages, Data Mining tools and techniques can be used. Agriculture is a noticeable earmark for Big Data. Conditions of Environmental, Variability of Soil, levels of input of farmers, prices of used and needed material have made it all more admissible for farmers to use the climate prediction information and get help to make critical farming decisions. Data Mining of large amount of crop, soil used for their cultivation and changing climate data, and non-experimental data optimization makes agriculture more irrepressible to climatic change. Predictive data mining technique can be used for predicting in future use of crops, pesticides and fertilizers, revenue will be generated for growth and function of crops in agriculture.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"IRJET- Analysis of Agriculture Data using Data Mining Techniques","attachmentId":64303379,"attachmentType":"pdf","work_url":"https://www.academia.edu/43974343/IRJET_Analysis_of_Agriculture_Data_using_Data_Mining_Techniques","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/43974343/IRJET_Analysis_of_Agriculture_Data_using_Data_Mining_Techniques"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="101906468" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/101906468/Statistical_Based_Agricultural_Data_Analysis_Using_Mining">Statistical Based Agricultural Data Analysis Using Mining</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="33453450" href="https://independent.academia.edu/ManojChaudhari2">Manoj Chaudhari</a></div><p class="ds-related-work--abstract ds2-5-body-sm">This Paper is Basically applied to the Advancement in Farming by technological Evolution as the growth in Computing and information Assessment, Retrieval and Storage have provided vast amount of Data. Data mining Techniques have been extensively seed n large amount of Datasets and Variables. But the main challenge is to extract information from this data which results n various methodologies and techniques such as Data Mining that can easily provide Results and Conclusions. Data Mining is emerging research field in Agriculture crop yield analysis. In this paper our focus is on the applications of Data Mining techniques in agricultural field. Different Data Mining techniques are in use, such as HM, K-Nearest Neighbor(KNN), Decision Tree(DT) and Support Vector Machines(SVM) in Agricultural Data as a tool for mining. Different Data sets are evaluated and hence outcomes with Different Data Mining Techniques. This paper discusses a process model for analyzing data, and describes the supp...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Statistical Based Agricultural Data Analysis Using Mining","attachmentId":102316573,"attachmentType":"pdf","work_url":"https://www.academia.edu/101906468/Statistical_Based_Agricultural_Data_Analysis_Using_Mining","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/101906468/Statistical_Based_Agricultural_Data_Analysis_Using_Mining"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="38744766" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/38744766/PREDICTION_OF_CROP_YIELD_USING_DATA_MINING_TECHNIQUES">PREDICTION OF CROP YIELD USING DATA MINING TECHNIQUES</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="24507213" href="https://independent.academia.edu/IJESRTJournal">IJESRT Journal</a></div><p class="ds-related-work--abstract ds2-5-body-sm">We all know agriculture is the most important factor which influence the economy of India and it also offers employment to 50% population of India. People of India are practicing agriculture for many years and the result were never satisfying due to many factors that effect the crop. Day by day environment is changing and is not stable at various places. It is very important for the farmer to cultivate their farm in good climatic conditions ,under such conditions they need technology that predict the environment. In such cases data mining is the apt technology for prediction. Data mining contains various prediction algorithms like id3,cart ,c4.5,random forest algorithm. In this Project we are using Id3 and cart algorithms as a prediction techniques and it is possible obtain the information from the prediction algorithms which helps farmers to cultivate the appropriate crop.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"PREDICTION OF CROP YIELD USING DATA MINING TECHNIQUES","attachmentId":58832025,"attachmentType":"pdf","work_url":"https://www.academia.edu/38744766/PREDICTION_OF_CROP_YIELD_USING_DATA_MINING_TECHNIQUES","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/38744766/PREDICTION_OF_CROP_YIELD_USING_DATA_MINING_TECHNIQUES"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="61452683" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/61452683/Crop_yield_prediction_using_data_mining_an_efficient_data_modeling_approach">Crop yield prediction using data mining: an efficient data modeling approach</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="131271460" href="https://independent.academia.edu/RohitBajaj11">Rohit Bajaj</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Engineering & Technology</p><p class="ds-related-work--abstract ds2-5-body-sm">Motivation for this research comes from the agricultural point of view that there is a lot of work for the farmers to be done manually. So this research deals with the automatic classification approach which provides help to the farmers and decrease their efforts. With the change of climate in the world, the mainstreams of the crops in the agricultural field are severely affected in performance in previous decades. The crop prediction yielding should be healthy to help the farmers for taking suitable procedures for selling and loading/storage. Such estimations on the yielding of the crops will also assist the industries based on the farming and production of the crops for development of the logistics of their commercials. Numerous approaches of estimating and crop yielding have been established in the previous times with variable success rates. This paper deals with the prediction of the wheat crop yielding using data mining approaches. The paper deals with the clustering approach u...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Crop yield prediction using data mining: an efficient data modeling approach","attachmentId":74478311,"attachmentType":"pdf","work_url":"https://www.academia.edu/61452683/Crop_yield_prediction_using_data_mining_an_efficient_data_modeling_approach","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/61452683/Crop_yield_prediction_using_data_mining_an_efficient_data_modeling_approach"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="35240964" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/35240964/Computer_Science_and_Management_Studies_A_survey_on_Data_Mining_Techniques_for_Crop_Yield_Prediction">Computer Science and Management Studies A survey on Data Mining Techniques for Crop Yield Prediction</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="71784309" href="https://independent.academia.edu/bhaveshchowdary">bhavesh chowdary</a></div><p class="ds-related-work--abstract ds2-5-body-sm">This paper presents the various crop yield prediction methods using data mining techniques. Agricultural system is very complex since it deals with large data situation which comes from a number of factors. Crop yield prediction has been a topic of interest for producers, consultants, and agricultural related organizations. In this paper our focus is on the applications of data mining techniques in agricultural field. Different Data Mining techniques such as K-Means, K-Nearest Neighbor(KNN), Artificial Neural Networks(ANN) and Support Vector Machines(SVM) for very recent applications of data mining techniques in agriculture field. Data mining technology has received a great progress with the rapid development of computer science, artificial intelligence. Data Mining is an emerging research field in agriculture crop yield analysis. Data Mining is the process of identifying the hidden patterns from large amount of data. Yield prediction is a very important agricultural problem that remains to be solved based on the available data. The problem of yield prediction can be solved by employing data mining techniques.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Computer Science and Management Studies A survey on Data Mining Techniques for Crop Yield Prediction","attachmentId":55100451,"attachmentType":"pdf","work_url":"https://www.academia.edu/35240964/Computer_Science_and_Management_Studies_A_survey_on_Data_Mining_Techniques_for_Crop_Yield_Prediction","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/35240964/Computer_Science_and_Management_Studies_A_survey_on_Data_Mining_Techniques_for_Crop_Yield_Prediction"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="46882037" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/46882037/IJERT_Crop_Analysis_and_Profit_Prediction_using_Data_Mining_Techniques_Id_39_">IJERT-Crop Analysis and Profit Prediction using Data Mining Techniques (Id:39)</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="109571315" href="https://independent.academia.edu/IJERTORG">IJERT Journal</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Engineering Research and Technology (IJERT), 2019</p><p class="ds-related-work--abstract ds2-5-body-sm">https://www.ijert.org/Crop-Analysis-and-Profit-Prediction-using-Data-Mining-Techniques-(Id:39) https://www.ijert.org/research/Crop-Analysis-and-Profit-Prediction-using-Data-Mining-Techniques-(Id39)-IJERTCONV7IS08024.pdf Farmers are the backbone of our country. They cultivate different varieties of crops. In some cases it is difficult for the farmers to get back the contributed amount from the harvest due to the market value of the yield. Farmers will not realize the market value until they bring the crops to the market which makes them to battle a great deal. These crop rates can be controlled if there is a system which helps the farmers to know about the crops planted around his location with prediction to suggest the farmers about the crops to be cultivated to maximize profit. In this paper a system is been proposed which will gather information about all the crops that are cultivated from different places around the state so that the farmers can use the system to know about the on growing crop details and to predict the best crop that allows him to get more profit. This system uses various criteria such as place, population, crop type, soil type, stock, current requirement, season, number of farmers cultivating the same crop, crop duration etc to predict the crop for farmers.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"IJERT-Crop Analysis and Profit Prediction using Data Mining Techniques (Id:39)","attachmentId":66272025,"attachmentType":"pdf","work_url":"https://www.academia.edu/46882037/IJERT_Crop_Analysis_and_Profit_Prediction_using_Data_Mining_Techniques_Id_39_","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/46882037/IJERT_Crop_Analysis_and_Profit_Prediction_using_Data_Mining_Techniques_Id_39_"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="44245816" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/44245816/IRJET_ANALYSIS_OF_CROP_YIELD_PREDICTON_USING_DATA_MINING_TECHNIQUE">IRJET- ANALYSIS OF CROP YIELD PREDICTON USING DATA MINING TECHNIQUE</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="31493941" href="https://irjet.academia.edu/IRJET">IRJET Journal</a></div><p class="ds-related-work--metadata ds2-5-body-xs">IRJET, 2020</p><p class="ds-related-work--abstract ds2-5-body-sm">India is generally an agricultural country. Now a days the most important emerging field in the real world is agriculture and it is the main occupation and backbone of our country. Recent developments in Information Technology for agriculture field has become an interesting research area to predict the crop yield. Crop yield prediction is the methodology to predict the yield of the crops using different parameters like rainfall, temperature, fertilizers, pesticides and other atmospheric conditions and parameters. Data Mining techniques is very popular in the area of agriculture. Data mining techniques are used and evaluated in agriculture for estimating the future years crop production. This paper presents a brief analysis of crop yield prediction using K-Nearest Neighbor(KNN) Algorithm for the selected region that is Mangalore, Kasargod, Hassan, Kodagu in India.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"IRJET- ANALYSIS OF CROP YIELD PREDICTON USING DATA MINING TECHNIQUE","attachmentId":64617589,"attachmentType":"pdf","work_url":"https://www.academia.edu/44245816/IRJET_ANALYSIS_OF_CROP_YIELD_PREDICTON_USING_DATA_MINING_TECHNIQUE","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/44245816/IRJET_ANALYSIS_OF_CROP_YIELD_PREDICTON_USING_DATA_MINING_TECHNIQUE"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="106300312" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/106300312/A_Review_on_Data_Mining_Scope_and_Applications_in_Agriculture">A Review on Data Mining: Scope and Applications in Agriculture</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="250039421" href="https://independent.academia.edu/GurpinderSingh77">Gurpinder Singh</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Advanced Research in Computer Science, 2017</p><p class="ds-related-work--abstract ds2-5-body-sm">Data Mining is becoming a trending topic in the field of Agriculture. Crop Yield prediction, Quality Measurement, Soil classification, Crop Disease prediction etc. are some of the recently explored topics. A proper analysis and recommendation on the basis of data mining can help farmers in better understanding and management of their crops and land. Apart from that, patterns evaluated via. Data mining can help the governments for making better policies for Agriculture. As compare to industrial data mining, education data mining, business data mining and medical data mining, agriculture data mining is a novel field. This paper emphasizes on the applications which have been developed using Data Mining and further scope of the data mining. This paper discusses about the use of data mining in some topics relating to agriculture which need immediate attention. Some tools and techniques useful for the purpose of analysis are described.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"A Review on Data Mining: Scope and Applications in Agriculture","attachmentId":105535041,"attachmentType":"pdf","work_url":"https://www.academia.edu/106300312/A_Review_on_Data_Mining_Scope_and_Applications_in_Agriculture","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/106300312/A_Review_on_Data_Mining_Scope_and_Applications_in_Agriculture"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":33468121,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":33468121,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_33468121" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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