{"id":3213,"date":"2025-03-21T18:31:42","date_gmt":"2025-03-21T18:31:42","guid":{"rendered":"https:\/\/air.ug\/?page_id=3213"},"modified":"2025-09-19T14:01:24","modified_gmt":"2025-09-19T14:01:24","slug":"project-drone-based-agricultural-dataset-for-crop-yield-estimation","status":"publish","type":"page","link":"https:\/\/air.ug\/?page_id=3213","title":{"rendered":"Project : Drone-based Agricultural Dataset for Crop Yield Estimation"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3213\" class=\"elementor elementor-3213\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d297aae e-flex e-con-boxed e-con e-parent\" data-id=\"d297aae\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-1c72a05 e-con-full e-flex e-con e-child\" data-id=\"1c72a05\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-9ab7503 e-con-full e-flex e-con e-child\" data-id=\"9ab7503\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-384f51f elementor-widget elementor-widget-heading\" data-id=\"384f51f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Funder<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e39babb elementor-widget elementor-widget-text-editor\" data-id=\"e39babb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Lacuna<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2459449 elementor-widget elementor-widget-heading\" data-id=\"2459449\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Duration<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec5eeae elementor-widget elementor-widget-text-editor\" data-id=\"ec5eeae\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>2024-2026<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-39dbb44 elementor-widget elementor-widget-heading\" data-id=\"39dbb44\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Keywords (Technologies and Domain)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-619c7ec elementor-widget elementor-widget-text-editor\" data-id=\"619c7ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Agricultural Sciences, Drone-based Agricultural Dataset<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-abc782c e-con-full e-flex e-con e-child\" data-id=\"abc782c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0889ff8 elementor-widget elementor-widget-heading\" data-id=\"0889ff8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Drone-based Agricultural Dataset for Crop Yield Estimation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69bc5c2 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"69bc5c2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Conventional methods of crop yield estimation are often costly, labor-intensive, time-consuming, and prone to inaccuracies due to incomplete field observations. These challenges result in poor yield predictions, limiting farmers&#8217; ability to effectively plan, manage their fields, and optimize production. This project seeks to address these challenges by developing an agricultural yield estimation dataset designed to support the transformation of African agriculture into a data-driven agribusiness. The dataset will enable the development of yield estimation solutions that empower farmers to make informed business decisions. With timely access to key agricultural production data, farmers will be better positioned to plan their harvests, maintain healthy and fresh produce, and ultimately improve their sales and market competitiveness.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-14914bc e-con-full e-flex e-con e-child\" data-id=\"14914bc\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-aa2e99e e-con-full e-flex e-con e-child\" data-id=\"aa2e99e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2dcd67d elementor-widget elementor-widget-heading\" data-id=\"2dcd67d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Outputs (Datasets, publications, models)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-517005a elementor-widget elementor-widget-text-editor\" data-id=\"517005a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Funder Lacuna Duration 2024-2026 Keywords (Technologies and Domain) Agricultural Sciences, Drone-based Agricultural Dataset Drone-based Agricultural Dataset for Crop Yield Estimation Conventional methods of crop yield estimation are often costly, labor-intensive, time-consuming, and prone to inaccuracies due to incomplete field observations. These challenges result in poor yield predictions, limiting farmers&#8217; ability to effectively plan, manage their [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-3213","page","type-page","status-publish","hentry"],"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"airlab","author_link":"https:\/\/air.ug\/?author=1"},"rttpg_comment":0,"rttpg_category":null,"rttpg_excerpt":"Funder Lacuna Duration 2024-2026 Keywords (Technologies and Domain) Agricultural Sciences, Drone-based Agricultural Dataset Drone-based Agricultural Dataset for Crop Yield Estimation Conventional methods of crop yield estimation are often costly, labor-intensive, time-consuming, and prone to inaccuracies due to incomplete field observations. These challenges result in poor yield predictions, limiting farmers&#8217; ability to effectively plan, manage their&hellip;","_links":{"self":[{"href":"https:\/\/air.ug\/index.php?rest_route=\/wp\/v2\/pages\/3213","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/air.ug\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/air.ug\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/air.ug\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/air.ug\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3213"}],"version-history":[{"count":19,"href":"https:\/\/air.ug\/index.php?rest_route=\/wp\/v2\/pages\/3213\/revisions"}],"predecessor-version":[{"id":4648,"href":"https:\/\/air.ug\/index.php?rest_route=\/wp\/v2\/pages\/3213\/revisions\/4648"}],"wp:attachment":[{"href":"https:\/\/air.ug\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3213"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}