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extension to improve quality of life in rural area is well established. IT can assist an average Indian farmer to get applicable information regarding agro-inputs, crop production technologies, agro processing, market support, agro-finance and management of farm agri-business. The agricultural extension mechanism is becoming dependent on IT to provide proper and location specific technologies for the farmers to furnish timely and proficient advice to the farmers IT can be a best mean not only to develop agricultural extension but also to expand agriculture research and education system. IT in agricultural research management for textual and non textual documentations and deciding prioritization of research areas needs to be reinforced. The crop forecasting, input management, command area management, watershed management, land and water resources development , drinking water potential mapping precision management, natural disaster management, fishery management , hill area development and post harvest management are the key areas, where Information Technology can play its imperative impact. Scope of rural Internet: Enormous benefits await rural communities and agricultural organizations when communication improves between the non-governmental organizations, government services, private sector entities and educational institutes that support rural and agricultural development. By sharing information about their activities in the fields of agriculture, rural development, forestry, fisheries, health, nutrition, and education, these agencies can better serve rural people and farmers. They can make use of \"lessons learned,\" determine and use \"best practices,\" and coordinate information about particular regions or successful development approaches. At the same time, rural communities and agricultural organizations can benefit equally from improved vertical channels of communication that enable rural extension agencies and farmers to communicate with decision-makers and others concerned with development. An integrated approach to the expansion of Internet services will promote often-neglected horizontal communication between agencies linked to rural and agricultural development. At the same time, an integrated approach will provide the tools to enable rural people and farmers to enter directly into new vertical communication relationships with external agencies. Improving horizontal communication can improve the quality and relevance of information resources and physical resources available to rural people. Improving vertical communication between rural people, farmers and decision-makers can improve the quality of decisions that affect rural communities and agricultural organizations. 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According to the Food and Agriculture Organization, \"Food security exists when all people have access to sufficient, safe and nutritious food to meet their dietary needs and food preferences for an active and healthy life.\" Food security is a major determinant of national security and self-sufficiency Matlab plays an important role in crop yield estimation. In this paper an attempt has been made to estimate crop yield for selected cash crops (Rice, Groundnut, Soyabin, Ragi) from the sample data collected from twelve talukas of Kolhapur district, Maharashtra state. Analysis and estimation of yield was done using process tool constructed by Matlab. One can use this model for estimating yield of any crop. The advances in computing and information storage have provided major factors for calculating and assessing the results. The challenge has been to extract knowledge from this raw data; this has lead to new methods and techniques such as data mining that can bridge the knowledge of the data to the crop yield estimation. 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D...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Various studies on consumer purchasing behaviors have been presented and used in real problems. Data mining techniques are expected to be a more effective tool for analyzing consumer behaviors. However, the data mining method has disadvantages as well as advantages. Therefore, it is important to select appropriate techniques to mine databases. The objective of this paper is to know consumer behavior, his psychological condition at the time of purchase and how suitable data mining method apply to improve conventional method. Moreover, in an experiment, association rule is employed to mine rules for trusted customers using sales data in a super market industry</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c3843d140a40f9dbd7325434c0b82754" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":32662640,"asset_id":5575613,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/32662640/download_file?st=MTczMjc3Mjk0Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5575613"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5575613"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5575613; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5575613]").text(description); $(".js-view-count[data-work-id=5575613]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5575613; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5575613']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5575613, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c3843d140a40f9dbd7325434c0b82754" } } $('.js-work-strip[data-work-id=5575613]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5575613,"title":"Data Mining Techniques: A Source for Consumer Behavior Analysis","translated_title":"","metadata":{"abstract":"Various studies on consumer purchasing behaviors have been presented and used in real problems. 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According to the Food and Agriculture Organization, \"Food security exists when all people have access to sufficient, safe and nutritious food to meet their dietary needs and food preferences for an active and healthy life.\" Food security is a major determinant of national security and self-sufficiency Matlab plays an important role in crop yield estimation. In this paper an attempt has been made to estimate crop yield for selected cash crops (Rice, Groundnut, Soyabin, Ragi) from the sample data collected from twelve talukas of Kolhapur district, Maharashtra state. Analysis and estimation of yield was done using process tool constructed by Matlab. One can use this model for estimating yield of any crop. The advances in computing and information storage have provided major factors for calculating and assessing the results. The challenge has been to extract knowledge from this raw data; this has lead to new methods and techniques such as data mining that can bridge the knowledge of the data to the crop yield estimation. 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D...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Various studies on consumer purchasing behaviors have been presented and used in real problems. Data mining techniques are expected to be a more effective tool for analyzing consumer behaviors. However, the data mining method has disadvantages as well as advantages. Therefore, it is important to select appropriate techniques to mine databases. The objective of this paper is to know consumer behavior, his psychological condition at the time of purchase and how suitable data mining method apply to improve conventional method. Moreover, in an experiment, association rule is employed to mine rules for trusted customers using sales data in a super market industry</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c3843d140a40f9dbd7325434c0b82754" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":32662640,"asset_id":5575613,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/32662640/download_file?st=MTczMjc3Mjk0Niw4LjIyMi4yMDguMTQ2&st=MTczMjc3Mjk0Niw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5575613"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5575613"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5575613; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5575613]").text(description); $(".js-view-count[data-work-id=5575613]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5575613; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5575613']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5575613, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c3843d140a40f9dbd7325434c0b82754" } } $('.js-work-strip[data-work-id=5575613]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5575613,"title":"Data Mining Techniques: A Source for Consumer Behavior Analysis","translated_title":"","metadata":{"abstract":"Various studies on consumer purchasing behaviors have been presented and used in real problems. 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