{"id":1790,"date":"2026-03-09T09:10:18","date_gmt":"2026-03-09T09:10:18","guid":{"rendered":"https:\/\/hria.utcluj.ro\/?p=1790"},"modified":"2026-06-15T12:56:53","modified_gmt":"2026-06-15T12:56:53","slug":"agrobots-inteligenta-artificiala-pentru-monitorizarea-culturilor-agricole-cu-roboti-mobili","status":"publish","type":"post","link":"https:\/\/hria.utcluj.ro\/en\/agrobots-inteligenta-artificiala-pentru-monitorizarea-culturilor-agricole-cu-roboti-mobili\/","title":{"rendered":"AgroBots: Artificial Intelligence for monitoring agricultural crops using mobile robots"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Artificial intelligence is used in agricultural environment monitoring through the integration of mobile robots and aerial imagery. The main goal is to develop automated solutions for crop analysis, with a focus on early disease detection and understanding plant structure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modern agriculture requires efficient and scalable methods for monitoring crop health. The use of drones and mobile robots enables rapid data collection from the field, but analyzing this data presents significant challenges.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this context, AgroBots proposes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>automation of the agricultural monitoring process<\/li>\n\n\n\n<li>use of AI for interpreting aerial imagery<\/li>\n\n\n\n<li>early detection of issues that may affect production<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"410\" src=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-motivation-1024x410.png\" alt=\"\" class=\"wp-image-1791\" srcset=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-motivation-1024x410.png 1024w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-motivation-300x120.png 300w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-motivation-768x307.png 768w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-motivation-18x7.png 18w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-motivation.png 1355w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">Plant disease detection from aerial imagery<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One of the main objectives is identifying leaf-level diseases using images captured by drones.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Challenges<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>leaves are often observed from different angles<\/li>\n\n\n\n<li>perspective-induced distortions occur<\/li>\n\n\n\n<li>variations in illumination affect visual analysis<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Approach<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">To facilitate the analysis, the following are performed:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>leaf detection from aerial imagery<\/li>\n\n\n\n<li>correction of their orientation (geometric rectification)<\/li>\n\n\n\n<li class=\"translation-block\">transforming leaves into a <strong>canonical frontal view<\/strong>, similar to laboratory images<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This normalization enables more accurate comparison and the application of robust disease detection methods.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"864\" height=\"619\" src=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-analysis.png\" alt=\"\" class=\"wp-image-1792\" srcset=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-analysis.png 864w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-analysis-300x215.png 300w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-analysis-768x550.png 768w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-analysis-18x12.png 18w\" sizes=\"(max-width: 864px) 100vw, 864px\" \/><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">Leaf orientation detection<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Another key aspect is estimating leaf orientation, which is necessary for correcting perspective.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Contribution<\/h3>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">A novel neural architecture has been proposed for detecting object orientation in aerial imagery.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>identifies objects (leaves)<\/li>\n\n\n\n<li>estimates their direction and orientation<\/li>\n\n\n\n<li>enables the integration of geometric information into the analysis process<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">The model is based on the concept of <strong>Directional Object Detection<\/strong>, being specifically designed for aerial scenarios.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"1024\" height=\"450\" src=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-orientation-1024x450.png\" alt=\"\" class=\"wp-image-1793\" srcset=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-orientation-1024x450.png 1024w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-orientation-300x132.png 300w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-orientation-768x338.png 768w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-orientation-18x8.png 18w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agrobots-leaf-orientation.png 1057w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">Impact<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">By combining:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>drone-captured images<\/li>\n\n\n\n<li>artificial intelligence methods<\/li>\n\n\n\n<li>and mobile robots<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">AgroBots contributes to the development of intelligent systems for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>automated crop monitoring<\/li>\n\n\n\n<li>early disease detection<\/li>\n\n\n\n<li>optimizing agricultural interventions<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence is used in agricultural environment monitoring through the integration of mobile robots and aerial imagery. The main goal is to develop automated solutions for crop analysis, with a focus on early disease detection and understanding plant structure. Modern agriculture requires efficient and scalable methods for monitoring crop health. The use of drones and mobile robots enables\u2026&nbsp;<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"default","neve_meta_enable_content_width":"on","neve_meta_content_width":100,"neve_meta_title_alignment":"","neve_meta_author_avatar":"off","neve_post_elements_order":"[\"content\"]","neve_meta_disable_header":"off","neve_meta_disable_footer":"","neve_meta_disable_title":"","_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-1790","post","type-post","status-publish","format-standard","hentry","category-rezultate"],"_links":{"self":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/posts\/1790","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/comments?post=1790"}],"version-history":[{"count":4,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/posts\/1790\/revisions"}],"predecessor-version":[{"id":1862,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/posts\/1790\/revisions\/1862"}],"wp:attachment":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/media?parent=1790"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/categories?post=1790"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/tags?post=1790"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}