{"id":14217,"date":"2024-09-14T19:19:46","date_gmt":"2024-09-14T19:19:46","guid":{"rendered":"https:\/\/dailyai.com\/?p=14217"},"modified":"2024-09-16T10:33:41","modified_gmt":"2024-09-16T10:33:41","slug":"ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/","title":{"rendered":"L'IA ouvre une nouvelle \u00e8re pour la culture des fraises, avec des implications agricoles plus larges"},"content":{"rendered":"

L'IA pourrait bient\u00f4t travailler aux c\u00f4t\u00e9s de l'homme pour cultiver la fraise parfaite.<\/b><\/p>\n

Des chercheurs de la Western University ont mis au point un syst\u00e8me d'intelligence artificielle qui promet de transformer la mani\u00e8re dont nous cultivons l'un des fruits les plus appr\u00e9ci\u00e9s au monde, la fraise, ce qui pourrait avoir des r\u00e9percussions sur l'ensemble du secteur agricole.<\/span><\/p>\n

Et non, cela n'a rien \u00e0 voir avec OpenAI<\/span><\/span><\/span><\/span><\/span>Le mod\u00e8le o1 de l'UE<\/a>anciennement connu sous le nom de code \"Projet Strawberry\".<\/span><\/p>\n

Les <\/span>\u00e9tude<\/span><\/a>publi\u00e9e dans la revue Foods, met en \u00e9vidence une avanc\u00e9e remarquable dans le domaine de la technologie agricole.\u00a0<\/span><\/p>\n

En utilisant des techniques avanc\u00e9es d'apprentissage automatique, l'\u00e9quipe a cr\u00e9\u00e9 un syst\u00e8me capable de d\u00e9tecter la maturit\u00e9 et les maladies des fraises avec une pr\u00e9cision de pr\u00e8s de 99%, le tout gr\u00e2ce \u00e0 une simple surveillance par cam\u00e9ra.<\/span><\/p>\n

\"Nous voulions r\u00e9duire la taille de ces mod\u00e8les d'IA pour qu'ils soient utilisables par les agriculteurs et la production locale\", explique Joshua Pearce, titulaire de la chaire John M. Thompson sur les technologies de l'information et l'innovation \u00e0 la Western Engineering et \u00e0 l'Ivey Business School.\u00a0<\/span><\/p>\n

\"Nous ne voulions pas seulement augmenter la pr\u00e9cision, qui est sup\u00e9rieure \u00e0 98%, mais aussi r\u00e9duire la taille des mod\u00e8les.<\/span><\/p>\n

Ce qui distingue cette recherche, c'est l'accent mis sur l'accessibilit\u00e9. Contrairement \u00e0 de nombreuses solutions agricoles de haute technologie destin\u00e9es aux grandes exploitations, M. Pearce et son coll\u00e8gue Soodeh Nikan ont con\u00e7u leur syst\u00e8me en pensant aux petites et moyennes exploitations.<\/span><\/p>\n

La m\u00e9thodologie de l'\u00e9quipe a combin\u00e9 des techniques d'intelligence artificielle innovantes avec des connaissances agricoles pratiques :<\/span><\/p>\n

    \n
  1. Ils ont commenc\u00e9 par collecter diverses s\u00e9ries d'images de fraises, y compris des fruits sains et des fruits atteints de diverses maladies.<\/span><\/li>\n
  2. Ces images ont ensuite \u00e9t\u00e9 trait\u00e9es et compl\u00e9t\u00e9es pour cr\u00e9er un ensemble de donn\u00e9es d'entra\u00eenement robuste.<\/span><\/li>\n
  3. Les chercheurs ont affin\u00e9 trois mod\u00e8les d'IA diff\u00e9rents - Vision Transformer, MobileNetV2 et ResNet18 - chacun apportant ses propres atouts \u00e0 la t\u00e2che.<\/span><\/li>\n
  4. Pour s'assurer que l'IA puisse g\u00e9rer la variabilit\u00e9 du monde r\u00e9el, ils ont incorpor\u00e9 des techniques telles que la pond\u00e9ration des classes et la g\u00e9n\u00e9ration d'images synth\u00e9tiques.<\/span><\/li>\n
  5. Plus important encore, ils ont int\u00e9gr\u00e9 des \"m\u00e9canismes d'attention\" dans les mod\u00e8les, permettant \u00e0 l'IA de se concentrer sur les parties les plus pertinentes de chaque image.<\/span><\/li>\n<\/ol>\n

    Le syst\u00e8me excelle dans deux t\u00e2ches principales :<\/p>\n

      \n
    1. D\u00e9tection de la maturit\u00e9<\/strong>: Il peut classer avec pr\u00e9cision les fraises comme \u00e9tant m\u00fbres ou non m\u00fbres, ce qui permet aux agriculteurs d'optimiser le moment de la r\u00e9colte.<\/li>\n
    2. Identification de la maladie<\/strong>: L'IA peut d\u00e9tecter et identifier sept types distincts de maladies du fraisier : la tache angulaire, l'anthracnose du fruit, la br\u00fblure de la fleur, la pourriture grise, la tache de la feuille, l'o\u00efdium du fruit et l'o\u00efdium de la feuille.<\/li>\n<\/ol>\n

      Les r\u00e9sultats parlent d'eux-m\u00eames. Avec des taux de pr\u00e9cision avoisinant les 98%, le syst\u00e8me surpasse largement les tentatives pr\u00e9c\u00e9dentes de contr\u00f4le automatis\u00e9 des fraises.<\/span><\/p>\n

      Cependant, les implications de cette recherche vont bien au-del\u00e0 de l'am\u00e9lioration des rendements des fraises.\u00a0<\/span><\/p>\n

      Le potentiel de r\u00e9duction des d\u00e9chets alimentaires est \u00e9galement \u00e9vident. Selon l'Organisation des Nations unies pour l'alimentation et l'agriculture, <\/span>environ 14%<\/span><\/a> des denr\u00e9es alimentaires produites sont perdues entre la r\u00e9colte et la vente au d\u00e9tail.\u00a0<\/span><\/p>\n

      Des technologies telles que ce syst\u00e8me d'intelligence artificielle pourraient contribuer \u00e0 r\u00e9soudre ce probl\u00e8me en optimisant le calendrier des r\u00e9coltes et en r\u00e9duisant les pertes dues aux maladies ou \u00e0 la surmaturit\u00e9.<\/span><\/p>\n

      \"La r\u00e9duction des d\u00e9chets et du co\u00fbt de la nourriture est \u00e9videmment une question importante de nos jours. Comme tout le monde, je suis toujours surpris lorsque je vais \u00e0 l'\u00e9picerie et que je vois le prix des fruits et l\u00e9gumes frais\", a d\u00e9clar\u00e9 Nikan.\u00a0<\/span><\/p>\n

      \"Lorsque je choisis des projets, je m'int\u00e9resse g\u00e9n\u00e9ralement \u00e0 ce qui est essentiel pour la s\u00e9curit\u00e9 ou \u00e0 ce qui r\u00e9pond \u00e0 un besoin soci\u00e9tal. Gr\u00e2ce \u00e0 mon exp\u00e9rience dans d'autres domaines, j'ai saut\u00e9 sur l'occasion d'appliquer mes connaissances et mon expertise \u00e0 la s\u00e9curit\u00e9 alimentaire\".<\/span><\/p>\n

      \u00c0 l'avenir, l'\u00e9quipe pr\u00e9voit d\u00e9j\u00e0 de tester son syst\u00e8me en ext\u00e9rieur, en utilisant \u00e9ventuellement des drones pour une surveillance plus large du terrain.\u00a0<\/span><\/p>\n

      Ils explorent \u00e9galement l'utilisation d'images synth\u00e9tiques g\u00e9n\u00e9r\u00e9es par l'IA afin de r\u00e9duire davantage les besoins en donn\u00e9es pour former des mod\u00e8les efficaces.<\/span><\/p>\n

      \"Au lieu de prendre des images de millions de fraises, ce qui est une approche peu efficace et tr\u00e8s co\u00fbteuse, nous utilisons des images synth\u00e9tiques et des logiciels libres pour cr\u00e9er nous-m\u00eames des millions d'images, avec une puissance informatique relativement faible, ce qui nous permet maintenant de faire des observations tr\u00e8s granulaires sur la maturit\u00e9 et la maladie pour des plantes tr\u00e8s sp\u00e9cifiques\", a d\u00e9clar\u00e9 M. Nikan.<\/p>\n

      M. Pearce a ajout\u00e9 : \"Le logiciel est enti\u00e8rement gratuit et open-source et les agriculteurs, quels qu'ils soient, sont libres de le t\u00e9l\u00e9charger et de l'adapter \u00e0 leurs besoins. Ils peuvent pr\u00e9f\u00e9rer que le syst\u00e8me d'intelligence artificielle leur envoie un courrier \u00e9lectronique ou une alerte sur leur t\u00e9l\u00e9phone lorsqu'il d\u00e9tecte une maladie, ou m\u00eame qu'il leur transmette une image d'une plante sp\u00e9cifique pr\u00eate \u00e0 \u00eatre cueillie. Le logiciel est tr\u00e8s ouvert, il est possible de se l'approprier\".<\/p>","protected":false},"excerpt":{"rendered":"

      L'IA pourrait bient\u00f4t travailler aux c\u00f4t\u00e9s de l'homme pour cultiver la fraise parfaite. Des chercheurs de l'universit\u00e9 Western ont mis au point un syst\u00e8me d'IA qui promet de transformer la mani\u00e8re dont nous cultivons l'un des fruits les plus appr\u00e9ci\u00e9s au monde, la fraise, ce qui pourrait avoir des r\u00e9percussions sur l'ensemble du secteur agricole. Et non, cela n'a rien \u00e0 voir avec le mod\u00e8le o1 d'OpenAI, anciennement connu sous le nom de code \"Project Strawberry\". L'\u00e9tude, publi\u00e9e dans la revue Foods, t\u00e9moigne d'une avanc\u00e9e remarquable dans le domaine de la technologie agricole. Gr\u00e2ce \u00e0 des techniques avanc\u00e9es d'apprentissage automatique, l'\u00e9quipe a cr\u00e9\u00e9 un syst\u00e8me capable de d\u00e9tecter la maturit\u00e9 et les maladies des fraises avec une pr\u00e9cision de pr\u00e8s de 99%, et ce gr\u00e2ce \u00e0 un simple syst\u00e8me d'apprentissage automatique.<\/p>","protected":false},"author":2,"featured_media":14218,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[307],"class_list":["post-14217","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-agriculture"],"yoast_head":"\nAI ushers in new era for strawberry farming, with broader agricultural implications | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/fr\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI ushers in new era for strawberry farming, with broader agricultural implications | DailyAI\" \/>\n<meta property=\"og:description\" content=\"AI may soon work alongside humans to cultivate the perfect strawberry. Researchers at Western University have developed an AI system that promises to transform how we grow one of the world’s favorite fruits \u2013 the strawberry \u2013 with potential ripple effects across the entire agricultural sector. And no, this isn\u2019t related to OpenAI\u2019s o1 model, formerly codenamed \u201cProject Strawberry.\u201d The study, published in the journal Foods, showcases a remarkable leap forward in agricultural technology.\u00a0 Using advanced machine learning techniques, the team has created a system capable of detecting strawberry ripeness and diseases with nearly 99% accuracy \u2013 all through simple\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/fr\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-09-14T19:19:46+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-16T10:33:41+00:00\" \/>\n<meta property=\"og:image\" 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