{"id":48852,"date":"2021-12-08T09:47:27","date_gmt":"2021-12-08T07:47:27","guid":{"rendered":"https:\/\/www.iemn.fr\/articles-temporaires-anglais\/vers-une-insemination-artificielle-bovine-de-precision-grace-a-lintelligence-artificielle-2.html"},"modified":"2022-01-06T11:11:37","modified_gmt":"2022-01-06T09:11:37","slug":"vers-une-insemination-artificielle-bovine-de-precision-grace-a-lintelligence-artificielle-2","status":"publish","type":"post","link":"https:\/\/www.iemn.fr\/en\/newsletter\/vers-une-insemination-artificielle-bovine-de-precision-grace-a-lintelligence-artificielle-2.html","title":{"rendered":"Towards precision bovine insemination using artificial intelligence"},"content":{"rendered":"<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kwx8kxa8-23df9d85e6dc2b5c0c5ee2113e271713\">\n#top .av_textblock_section.av-kwx8kxa8-23df9d85e6dc2b5c0c5ee2113e271713 .avia_textblock{\ncolor:#387cb5;\n}\n<\/style>\n<section  class='av_textblock_section av-kwx8kxa8-23df9d85e6dc2b5c0c5ee2113e271713'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><h2 style=\"text-align: center;\">Towards precision bovine insemination using artificial intelligence<\/h2>\n<hr \/>\n<h3><\/h3>\n<\/div><\/section>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1ctii9q-7f2b6a9e38103998b7b5bb84251474c9\">\n.flex_column.av-1ctii9q-7f2b6a9e38103998b7b5bb84251474c9{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-1ctii9q-7f2b6a9e38103998b7b5bb84251474c9 av_one_half  avia-builder-el-1  el_after_av_textblock  el_before_av_one_half  first flex_column_div av-zero-column-padding  column-top-margin'     ><section  class='av_textblock_section av-kwx8ccqb-25ebf63822eaa6de66dfdcc3319d8471'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><blockquote>\n<p><strong><a href=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/insemination.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-48846 alignleft\" src=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/insemination.jpg\" alt=\"\" width=\"200\" height=\"122\" srcset=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/insemination.jpg 200w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/insemination-18x12.jpg 18w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/><\/a>In the cattle breeding sector, detecting the heat period in a cow is a prerequisite for successful artificial insemination and conception. Until now, the detection was done by visual observations of behavioral signs by a human operator who could be assisted by automated analysis systems. An original study combining artificial intelligence and innovative insemination equipment has shown that it is possible to detect heat quickly and more efficiently by endoscopic analysis of the cow\u2019s genital tract.<\/strong><\/p>\n<\/blockquote>\n<p>Bovine artificial insemination is a biotechnology that fully contributes to the development of sustainable agriculture thanks to the advantages it offers in terms of health safety, genetic gain and economic costs. The main condition for a successful insemination of a cow (conception) is the detection of her heat period.<\/p>\n<\/div><\/section><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ukzti6-71d2fedcb1e6e99768925744c853c3e7\">\n.flex_column.av-ukzti6-71d2fedcb1e6e99768925744c853c3e7{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ukzti6-71d2fedcb1e6e99768925744c853c3e7 av_one_half  avia-builder-el-3  el_after_av_one_half  el_before_av_one_full  flex_column_div av-zero-column-padding  column-top-margin'     ><section  class='av_textblock_section av-kwx8ch5j-8e3ee48bba6b09be8cc7535e1b648162'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>Typically, this period is identified by the farmer through visual observation of a set of behavioral signs exhibited by the cow. However, using this method of detection in large herds is a tedious process. In addition, cow signs may be affected by various health and environmental factors, which reduces the effectiveness of detection.<\/p>\n<p><strong>To address these limitations, a novel endoscopic heat detection system was developed using an innovative insemination technology called Eye Breed and an artificial intelligence model designed and optimized for smartphone deployment.<\/strong><br \/>\nAs illustrated in Figure 1, the Eye Breed device, equipped with an on-board camera and connected to a smartphone, is inserted into the cow\u2019s genital tract by a human operator who supervises a simulated insemination operation in real time. The recorded video is then automatically analyzed by the artificial intelligence model embedded in the smartphone to determine the heat status of the cow in less than 20 seconds. \u00a0The artificial intelligence model developed employs a deep learning technique based on Convolutional Neural Networks (CNN), whose structure is inspired by the receptive field structures found in the human primary visual cortex.<\/p>\n<\/div><\/section><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kwx8noc3-a5a6185a2962058b48296458802eee7f\">\n@keyframes av_boxShadowEffect_av-kwx8noc3-a5a6185a2962058b48296458802eee7f-column {\n0%   { box-shadow:  0 0 0 0 #a3a3a3; opacity: 1; }\n100% { box-shadow:  0 0 10px 0 #a3a3a3; opacity: 1; }\n}\n.flex_column.av-kwx8noc3-a5a6185a2962058b48296458802eee7f{\nbox-shadow: 0 0 10px 0 #a3a3a3;\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-kwx8noc3-a5a6185a2962058b48296458802eee7f av_one_full  avia-builder-el-5  el_after_av_one_half  el_before_av_one_full  first flex_column_div shadow-not-animated av-zero-column-padding  column-top-margin'     ><section  class='av_textblock_section av-kwx8ndx0-5ccb7751c46bfafd9926a187a1eab00f'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p><a href=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/cow.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-48799 size-full\" src=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/cow.jpg\" alt=\"\" width=\"800\" height=\"471\" srcset=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/cow.jpg 800w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/cow-300x177.jpg 300w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/cow-768x452.jpg 768w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/cow-18x12.jpg 18w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2021\/12\/cow-705x415.jpg 705w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><em>Figure 1: Overview of our heat detection system in cows [1].<\/em><\/p>\n<\/div><\/section><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ujonz2-4cce9d79387fd552f58a12c8ccb11975\">\n.flex_column.av-ujonz2-4cce9d79387fd552f58a12c8ccb11975{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ujonz2-4cce9d79387fd552f58a12c8ccb11975 av_one_full  avia-builder-el-7  el_after_av_one_full  avia-builder-el-last  first flex_column_div av-zero-column-padding  column-top-margin'     ><section  class='av_textblock_section av-kwx8a69t-0e6b1c798632470e6b384943a0540f97'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p><strong>The developed system has shown a high performance on the 32 cows tested so far with a good detection rate of 87.5%. In the medium term, the system will be deployed and tested on several farms in the northern region of France. Also, new avenues of research will be studied in connection with the development of intelligent systems to help diagnose cow pathologies by using the Eye Breed device.<\/strong><\/p>\n<p>This collaborative work between several research teams from IEMN (BioMEMS and COMNUM groups), JUNIA, G\u00e8nes Diffusion, ELEXINN and LIMMS, is part of a FEDER research project of the Hauts-de-France region. The approach developed and the results obtained have been published in the reference [1].<\/p>\n<p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-13ewzjw-9a9f1cfb2a3570afb0f44a0c4adce97a\">\n.av_font_icon.av-13ewzjw-9a9f1cfb2a3570afb0f44a0c4adce97a{\ncolor:#800000;\nborder-color:#800000;\n}\n.av_font_icon.av-13ewzjw-9a9f1cfb2a3570afb0f44a0c4adce97a .av-icon-char{\nfont-size:30px;\nline-height:30px;\n}\n<\/style>\n<span  class='av_font_icon av-13ewzjw-9a9f1cfb2a3570afb0f44a0c4adce97a avia_animate_when_visible av-icon-style- avia-icon-pos-left avia-icon-animate'><span class='av-icon-char' aria-hidden='true' data-av_icon='\ue871' data-av_iconfont='entypo-fontello' ><\/span><\/span>[1] He, R., Benhabiles, H., Windal, F., et al. A CNN-based methodology for cow heat analysis from endoscopic images.\u00a0Applied Intelligence \u2013 The International Journal of Research on Intelligent Systems for Real Life Complex Problems \u2013 SPRINGER \u2013 published online 27 October 2021. <a href=\"https:\/\/link.springer.com\/article\/10.1007%2Fs10489-021-02910-5\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1007\/s10489-021-02910-5<\/a><\/p>\n<p><div  class='avia-button-wrap av-rpqvoq-07dd8316b81a98f3c35b1b8a1587a243-wrap avia-button-left  avia-builder-el-10  el_after_av_font_icon  el_before_av_button'><a href='mailto:halim.benhabiles@iemn.fr'  class='avia-button av-rpqvoq-07dd8316b81a98f3c35b1b8a1587a243 av-link-btn avia-icon_select-yes-left-icon avia-size-small avia-position-left avia-color-silver'   aria-label=\"halim.benhabiles@iemn.fr\"><span class='avia_button_icon avia_button_icon_left' aria-hidden='true' data-av_icon='\ue805' data-av_iconfont='entypo-fontello'><\/span><span class='avia_iconbox_title' >halim.benhabiles@iemn.fr<\/span><\/a><\/div><br \/>\n<div  class='avia-button-wrap av-rpqvoq-41838aa1c2413d0a3d1525df96ecd9be-wrap avia-button-left  avia-builder-el-11  el_after_av_button  avia-builder-el-last'><a href='mailto:feryal.windal@iemn.fr'  class='avia-button av-rpqvoq-41838aa1c2413d0a3d1525df96ecd9be av-link-btn avia-icon_select-yes-left-icon avia-size-small avia-position-left avia-color-silver'   aria-label=\"feryal.windal@iemn.fr\"><span class='avia_button_icon avia_button_icon_left' aria-hidden='true' data-av_icon='\ue805' data-av_iconfont='entypo-fontello'><\/span><span class='avia_iconbox_title' >feryal.windal@iemn.fr<\/span><\/a><\/div><\/p>\n<\/div><\/section><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[297],"tags":[],"class_list":["post-48852","post","type-post","status-publish","format-standard","hentry","category-newsletter"],"_links":{"self":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/48852","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/comments?post=48852"}],"version-history":[{"count":0,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/48852\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media?parent=48852"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/categories?post=48852"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/tags?post=48852"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}