{"id":692,"date":"2020-09-29T14:24:18","date_gmt":"2020-09-29T14:24:18","guid":{"rendered":"https:\/\/accentino.com\/?page_id=692"},"modified":"2020-10-11T18:02:17","modified_gmt":"2020-10-11T18:02:17","slug":"yieldprediction","status":"publish","type":"page","link":"https:\/\/accentino.com\/index.php\/yieldprediction\/","title":{"rendered":"Crop Yield Prediction"},"content":{"rendered":"\n<h5 class=\"wp-block-heading\">Drone\/ land camera image data and Machine-Learning based solution for predicting crop yield for optimal harvest planning.<\/h5>\n\n\n\n<!--more-->\n\n\n\n<p>Commercial agriculture\/horticulture producers need to estimate crop yield in advance to help in optimal harvest planning. Absence of such information often results in ad-hoc planning of storage facilities, packaging materials, transportation, logistics, and labour. Over-provisioning results in higher costs while under-planning causes wastage of farm produce. With traditional farming expertise getting scarce, a reputed farm producer approached Accent for an appropriate digital solution.<\/p>\n\n\n\n<p>Our field team made on-site visits to assess ground realities and challenges. Back in our Design Thinking Lab, a cross-sectional team churned out options to come up with a solution using precision imaging and Machine Learning. Continuous improvement of image data and fine-tuning of the machine learning model progressively enhanced prediction accuracy. Further refinements are ongoing with deployment of IoT-based sensors for soil, water and weather parameters. The algorithm can be further enhanced by correlating with historical data.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h5 class=\"wp-block-heading\"><strong>The Business Scenario:<\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\"><li>Farm produce company using contract farmers.<\/li><li>Contract farms spread across geographies with no direct control on the farm operations.<\/li><li>Needs advance estimation of crop yield for planning of the harvest season and post-harvest processing supply chain.<\/li><\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h5 class=\"wp-block-heading\"><strong>The Challenges Identified:<\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\"><li>Diminishing human expertise. <\/li><li>Next generation not interested in the agri domain.<\/li><li>Experts can\u2019t visit all farms due to vast geographies and time constraints.<\/li><li>Ad-hoc decisions cause financial burden or wastage of produce.<\/li><\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h5 class=\"wp-block-heading\"><strong>Technology-led Innovation:<\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\"><li>Images of early harvests using land-based and drone cameras.<\/li><li>Machine learning (ML) models trained to identify the produce and estimate early harvest.<\/li><li>Crop Yield Algorithm based on early harvest data and IoT inputs corelated with historical data.<\/li><\/ul>\n\n\n\n<p><\/p>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Drone\/ land camera image data and Machine-Learning based solution for predicting crop yield for optimal harvest planning.<\/p>\n","protected":false},"author":1,"featured_media":693,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-692","page","type-page","status-publish","has-post-thumbnail","hentry"],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/PaBawk-ba","_links":{"self":[{"href":"https:\/\/accentino.com\/index.php\/wp-json\/wp\/v2\/pages\/692","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/accentino.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/accentino.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/accentino.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/accentino.com\/index.php\/wp-json\/wp\/v2\/comments?post=692"}],"version-history":[{"count":6,"href":"https:\/\/accentino.com\/index.php\/wp-json\/wp\/v2\/pages\/692\/revisions"}],"predecessor-version":[{"id":723,"href":"https:\/\/accentino.com\/index.php\/wp-json\/wp\/v2\/pages\/692\/revisions\/723"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/accentino.com\/index.php\/wp-json\/wp\/v2\/media\/693"}],"wp:attachment":[{"href":"https:\/\/accentino.com\/index.php\/wp-json\/wp\/v2\/media?parent=692"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}