{"id":55264,"date":"2022-11-24T12:53:00","date_gmt":"2022-11-24T10:53:00","guid":{"rendered":"https:\/\/www.iemn.fr\/?p=55264"},"modified":"2022-11-24T12:59:50","modified_gmt":"2022-11-24T10:59:50","slug":"55264","status":"publish","type":"post","link":"https:\/\/www.iemn.fr\/en\/actualites\/55264.html","title":{"rendered":"THESE de HE Ruiwen : \u00a0\u00bb D\u00e9veloppement d\u2019outils intelligents par vision artificielle pour la supervision du bien-\u00eatre animal \u00ab\u00a0"},"content":{"rendered":"<div id='layer_slider_1'  class='avia-layerslider main_color avia-shadow  avia-builder-el-0  el_before_av_heading  avia-builder-el-first  container_wrap sidebar_right'  style='height: 261px;'  ><div id=\"layerslider_58_13wnidgbsdkk3\" data-ls-slug=\"homepageslider\" class=\"ls-wp-container fitvidsignore ls-selectable\" style=\"width:1140px;height:260px;margin:0 auto;margin-bottom: 0px;\"><div class=\"ls-slide\" data-ls=\"duration:6000;transition2d:5;\"><img loading=\"lazy\" decoding=\"async\" width=\"2600\" height=\"270\" src=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1.jpg\" class=\"ls-bg\" alt=\"\" srcset=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1.jpg 2600w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-300x31.jpg 300w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-768x80.jpg 768w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-1030x107.jpg 1030w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-1500x156.jpg 1500w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-705x73.jpg 705w\" sizes=\"auto, (max-width: 2600px) 100vw, 2600px\" \/><ls-layer style=\"font-size:14px;text-align:left;font-style:normal;text-decoration:none;text-transform:none;font-weight:700;letter-spacing:0px;border-style:solid;border-color:#000;background-position:0% 0%;background-repeat:no-repeat;width:180px;height:30px;left:0px;top:231px;line-height:32px;color:#ffffff;border-radius:6px 6px 6px 6px;padding-left:50px;background-color:rgba(0, 0, 0, 0.57);\" class=\"ls-l ls-ib-icon ls-text-layer\" data-ls=\"minfontsize:0;minmobilefontsize:0;\"><i class=\"fa fa-quote-right\" style=\"color:#ffffff;margin-right:0.8em;font-size:1em;transform:translateY( -0.125em );\"><\/i>ACTUALITES<\/ls-layer><\/div><\/div><\/div><div id='after_layer_slider_1'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-55264'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-av_heading-a31d373424d1f2669699697533b939f2\">\n#top .av-special-heading.av-av_heading-a31d373424d1f2669699697533b939f2{\nmargin:0 0 10px 0;\npadding-bottom:4px;\n}\nbody .av-special-heading.av-av_heading-a31d373424d1f2669699697533b939f2 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-av_heading-a31d373424d1f2669699697533b939f2 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-av_heading-a31d373424d1f2669699697533b939f2 av-special-heading-h2  avia-builder-el-1  el_after_av_layerslider  el_before_av_hr  avia-builder-el-first'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >THESE : Ruiwen HE &#8211; D\u00e9veloppement d\u2019outils intelligents par vision artificielle pour la supervision du bien-\u00eatre animal \u00bb. <\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-18u73nj-dad6a947580930e400fc42ba200e80f1\">\n#top .hr.av-18u73nj-dad6a947580930e400fc42ba200e80f1{\nmargin-top:5px;\nmargin-bottom:5px;\n}\n.hr.av-18u73nj-dad6a947580930e400fc42ba200e80f1 .hr-inner{\nwidth:100%;\n}\n<\/style>\n<div  class='hr av-18u73nj-dad6a947580930e400fc42ba200e80f1 hr-custom  avia-builder-el-2  el_after_av_heading  el_before_av_textblock  hr-left hr-icon-no'><span class='hr-inner inner-border-av-border-thin'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<section  class='av_textblock_section av-jriy64i8-2f4600354c0449b610997916bbd9b6bc'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" >\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-13ewzjw-68e036126b913e5028f77311dc66b825\">\n.av_font_icon.av-13ewzjw-68e036126b913e5028f77311dc66b825{\ncolor:#bfbfbf;\nborder-color:#bfbfbf;\n}\n.av_font_icon.av-13ewzjw-68e036126b913e5028f77311dc66b825 .av-icon-char{\nfont-size:60px;\nline-height:60px;\n}\n<\/style>\n<span  class='av_font_icon av-13ewzjw-68e036126b913e5028f77311dc66b825 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='\ue8c9' data-av_iconfont='entypo-fontello' ><\/span><\/span>\n<p><strong>RUWIN HE<br \/>\n<\/strong><\/p>\n<p>Soutenance : <strong>24 November 2022 -<br \/>\n<\/strong><strong>Amphi 001 of the ISA.<\/strong><\/p>\n<\/div><\/section>\n<section  class='av_textblock_section av-jtefqx33-628129dba2299b2ecd65ebfc92eac29d'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><div  class='hr av-kjh3zw-4dff888f744b728a1aca9b3a0971493a hr-default  avia-builder-el-6  avia-builder-el-no-sibling'><span class='hr-inner'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<h5><strong><span style=\"color: #800000;\">Jury :<\/span><\/strong><\/h5>\n<p><strong>Rapporteurs :<br \/>\n<\/strong>Amir NAKIB, Professor - Universit\u00e9 Paris Est Cr\u00e9teil<br \/>\nFr\u00e9d\u00e9ric CHAUSSE, Professor - University of Clermont Auvergne<\/p>\n<p><strong>Examiners :<\/strong><\/p>\n<p>Mrs Labbani-igbida OUIDDAD, Professor - University of Limoges<br \/>\nSebastien JACQUES, MCF - University of Tours<\/p>\n<p><strong>Managers<\/strong><\/p>\n<p>Halim BENHABILES, Lecturer - JUNIA ISEN Lille<br \/>\nMrs Feryal WINDAL, Lecturer - JUNIA ISEN Lille<\/p>\n<p><strong>Guest (if applicable) :<\/strong><\/p>\n<p>Christophe AUDEBERT - G\u00e8nes Diffusion \/ GD Biotech<br \/>\nGa\u00ebl EVEN - Genes Diffusion \/ GD Biotech<\/p>\n<p><strong>Thesis supervisor :<\/strong><\/p>\n<p>Dominique COLLARD, DR CNRS - University of Lille<\/p>\n<p><strong>Thesis co-supervisor :<\/strong><\/p>\n<p>Abdelmalik TALEB-AHMED, Professor - Universit\u00e9 Polytechnique Hauts-de-France<\/p>\n<h5>Summary:<\/h5>\n<p>Keywords: animal welfare, artificial insemination, deep learning, endoscopic image\/video processing, heat detection, cervical detection<\/p>\n<p>Today, the problem of world population and food has not been completely resolved. Intensive agricultural production is inevitable, particularly in the livestock sector. More and more animals have to be confined to a small area, and farmers have to look after more animals. In this context, animal welfare cannot be properly ensured, which can cause a number of problems in terms of the environment, food quality and safety, and social morality. The development of precision breeding makes animal welfare possible. In cow breeding, artificial insemination can offer many potential welfare benefits for cows, including prevention of disease spread, prevention of bull injury during mating and sex selection to avoid culling undesirable male calves. In this thesis, we developed intelligent computer vision tools to address two main challenges of artificial insemination: uncertain heat detection and unavailability of veterinarians.<\/p>\n<p>We have proposed the following contributions:<\/p>\n<ol>\n<li>We have developed a system based on deep learning for classifying the heat status of cows. To this end, an original approach based on analysis of the cow's genital tract using endoscopic images was adopted. The system developed enables vets and farmers to detect heat phases in cows for optimum insemination while respecting the animal's well-being.<\/li>\n<li>To overcome the unavailability of vets, we have also developed an artificial insemination aid system, which predicts the coordinates of a window for locating the cervix. To this end, a transformer-based detection model was specifically designed to locate the cervix. We also used this model to improve the performance of our heat state classification model.<\/li>\n<\/ol>\n<p>This thesis is part of an ERDF project in collaboration with the company G\u00e8nes Diffusion and is entitled \"Development of intelligent tools using artificial vision to monitor animal welfare\".<\/p>\n<h5>Abstract:<\/h5>\n<p>Keywords: animal welfare, artificial insemination, deep learning, endoscopic image\/video processing, heat detection, cervical detection<br \/>\nNowadays, the world population and food problem has not been completely solved. Intensive agricultural production is unavoidable, especially in the field of animal husbandry. More and more animals have to be confined in a small space, and farmers have to take care of more animals. In this context, animal welfare cannot be well ensured, which can cause various problems in terms of environment, food quality and safety, and social morality. The development of precision breeding makes animal welfare possible. In cow breeding, artificial insemination can provide many potential welfare benefits for cows, including prevention of disease spread, prevention of bull injury during mating, and sex selection to avoid culling unwanted male calves. In this thesis, we developed intelligent computer vision tools to address two main challenges in artificial insemination: uncertain heat detection and unavailability of veterinarians.<br \/>\nWe proposed the following contributions:<\/p>\n<p>1. We have developed a deep learning based system for the classification of the heat status of cows. For this purpose, an original approach based on the analysis of the genitalia of the cow from endoscopic images has been adopted. The system developed allows veterinarians and farmers to detect heat phases in cows for optimal insemination while respecting the animal's well-being.<br \/>\n2. To address the unavailability of veterinarians, we also developed an artificial insemination support system, which predicts the coordinates of a window for cervical location. For this purpose, a transformer-based detection model was specifically designed to locate the cervix. Furthermore, we exploited this model to increase the performance of our heat state classification model.<\/p>\n<p>This thesis is part of a FEDER project in collaboration with the company G\u00e8nes Diffusion and is entitled \"Development of intelligent tools by artificial vision for the supervision of animal welfare\".<\/p>\n<\/div><\/section>","protected":false},"excerpt":{"rendered":"","protected":false},"author":20,"featured_media":55265,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,87,65,316],"tags":[],"class_list":["post-55264","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualites","category-agenda-en","category-agenda","category-theses-2022"],"_links":{"self":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/55264","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\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/comments?post=55264"}],"version-history":[{"count":0,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/55264\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media\/55265"}],"wp:attachment":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media?parent=55264"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/categories?post=55264"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/tags?post=55264"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}