{"id":12582,"date":"2025-11-09T18:06:42","date_gmt":"2025-11-09T17:06:42","guid":{"rendered":"https:\/\/geopard.tech\/?p=12582"},"modified":"2026-01-16T18:52:26","modified_gmt":"2026-01-16T17:52:26","slug":"geopard-et-luniversite-cornell-collaborent-au-nmsp-sur-lagriculture-basee-sur-les-donnees","status":"publish","type":"post","link":"https:\/\/geopard.tech\/fr\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/","title":{"rendered":"Collaboration entre GeoPard et le CAST de l&#039;Universit\u00e9 Cornell, NMSP, sur l&#039;agriculture ax\u00e9e sur les donn\u00e9es"},"content":{"rendered":"<p>Le Cornell Agricultural Systems Testbed and Demonstration Site (CAST) pour la ferme du futur et le Cornell Nutrient Management Spear Program (NMSP) se sont associ\u00e9s \u00e0 la plateforme d&#039;agriculture de pr\u00e9cision GeoPard Agriculture pour transformer les donn\u00e9es brutes de rendement en recommandations agricoles exploitables.<\/p>\n<p>CAST, un ensemble de trois exploitations agricoles r\u00e9elles situ\u00e9es dans l&#039;\u00c9tat de New York, sert de banc d&#039;essai pour les technologies de \u201c l&#039;agriculture du futur \u201d, en d\u00e9veloppant des solutions bas\u00e9es sur les donn\u00e9es pour la production v\u00e9g\u00e9tale et laiti\u00e8re. L&#039;\u00e9quipe du NMSP m\u00e8ne des recherches, facilite le transfert de technologies et de connaissances, et contribue \u00e0 la mise en \u0153uvre concr\u00e8te de strat\u00e9gies efficaces de gestion des nutriments pour les grandes cultures, afin d&#039;am\u00e9liorer la durabilit\u00e9 des exploitations agricoles dans tout l&#039;\u00c9tat de New York.<\/p>\n<p>GeoPard travaille avec CAST et NMSP pour faire progresser le traitement des donn\u00e9es afin d&#039;am\u00e9liorer les outils d&#039;agronomie num\u00e9rique \u2013 un m\u00e9lange de science, de technologie et d&#039;essais men\u00e9s par les agriculteurs qui illustre l&#039;avenir de l&#039;agriculture de pr\u00e9cision.<\/p>\n<h2>CAST et NMSP de Cornell<\/h2>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"12594\" data-permalink=\"https:\/\/geopard.tech\/fr\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/cornells-cast-testbed-and-the-nmsp\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?fit=1920%2C1080&amp;ssl=1\" data-orig-size=\"1920,1080\" data-comments-opened=\"1\" data-image-title=\"Cornell\u2019s CAST Testbed and the NMSP\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?fit=1024%2C576&amp;ssl=1\" class=\"alignnone size-full wp-image-12594\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=810%2C456&#038;ssl=1\" alt=\"Le banc d&#039;essai CAST de Cornell et le NMSP\" width=\"810\" height=\"456\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=1024%2C576&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?resize=1536%2C864&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/Cornells-CAST-Testbed-and-the-NMSP.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/p>\n<p>CAST fait partie de l&#039;initiative \u201c\u00a0Ferme du futur\u00a0\u201d du NIFA (D\u00e9partement de l&#039;Agriculture des \u00c9tats-Unis) et op\u00e8re sous l&#039;\u00e9gide de l&#039;Institut Cornell pour l&#039;agriculture num\u00e9rique. CAST r\u00e9unit trois exploitations agricoles commerciales (cultures et production laiti\u00e8re) au sein d&#039;un \u00e9cosyst\u00e8me de recherche et d\u00e9veloppement unifi\u00e9. Sa mission est de tester et de d\u00e9montrer des technologies d&#039;agriculture de pr\u00e9cision int\u00e9gr\u00e9es (de la robotique \u00e0 l&#039;analyse des donn\u00e9es) en conditions r\u00e9elles d&#039;exploitation.<\/p>\n<p>En parall\u00e8le, le programme NMSP (Nutrient Management Spear Program), dirig\u00e9 par la Dre Quirine Ketterings, se concentre sur la recherche appliqu\u00e9e et la vulgarisation en mati\u00e8re de sols et de cultures. L&#039;\u00e9quipe du NMSP \u00e9value l&#039;utilisation des nutriments et la variabilit\u00e9 des rendements dans les exploitations agricoles\u00a0; par exemple, elle a \u00e9t\u00e9 pionni\u00e8re dans la notion de \u201c\u00a0zones de stabilit\u00e9 des rendements\u00a0\u201d, en combinant des donn\u00e9es de rendement sur trois ans ou plus afin de cartographier les zones \u00e0 rendement \u00e9lev\u00e9 et faible constant par rapport aux zones \u00e0 rendement variable.<\/p>\n<p>Ces cartes de zones de stabilit\u00e9 (avec les zones Q1 \u00e0 Q4 pour la coh\u00e9rence des rendements \u00e9lev\u00e9s\/faibles) et de nouveaux mod\u00e8les d&#039;essais comme l&#039;approche d&#039;\u00e9valuation spatiale \u00e0 bande unique (SSEA) aident les agriculteurs \u00e0 tester, par le biais de recherches sur la ferme, si les changements de gestion sont rentables, compte tenu de la variabilit\u00e9 connue au sein du champ.<\/p>\n<h2>La plateforme agricole GeoPard<\/h2>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"10804\" data-permalink=\"https:\/\/geopard.tech\/fr\/home\/geopard-background-precision-ag-software-do-more-with-your-data\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?fit=3116%2C1754&amp;ssl=1\" data-orig-size=\"3116,1754\" data-comments-opened=\"1\" data-image-title=\"GeoPard &amp;#8211; Background &amp;#8211; Precision Ag software &amp;#8211; Do more with your data\" data-image-description=\"&lt;p&gt;GeoPard-Background-Precision-Ag-software-Do-more-with-your-data&lt;\/p&gt;\" data-image-caption=\"&lt;p&gt;GeoPard-Background-Precision-Ag-software-Do-more-with-your-data&lt;\/p&gt;\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?fit=1024%2C576&amp;ssl=1\" class=\"size-full wp-image-10804\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=810%2C456&#038;ssl=1\" alt=\"GeoPard - Logiciel d&#039;agriculture de pr\u00e9cision - Tirez le meilleur parti de vos donn\u00e9es\" width=\"810\" height=\"456\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?w=3116&amp;ssl=1 3116w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=1024%2C576&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=1536%2C865&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?resize=2048%2C1153&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?w=1620&amp;ssl=1 1620w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2024\/10\/GeoPard-Background-Precision-Ag-software-Do-more-with-your-data.png?w=2430&amp;ssl=1 2430w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>GeoPard Agriculture propose un moteur d&#039;analyse bas\u00e9 sur le cloud qui traite toutes les donn\u00e9es g\u00e9ospatiales agricoles. Selon GeoPard, la plateforme est \u201c un outil d&#039;analyse cloud puissant et impartial pour l&#039;agriculture de pr\u00e9cision \u201d, capable de g\u00e9rer des donn\u00e9es multicouches et pluriannuelles. Concr\u00e8tement, GeoPard int\u00e8gre les fichiers de suivi des rendements, les cartes des sols, les images satellites et bien plus encore pour g\u00e9n\u00e9rer des cartes et des prescriptions pr\u00eates \u00e0 l&#039;emploi. Parmi ses principales fonctionnalit\u00e9s figurent la g\u00e9n\u00e9ration de zones de gestion pluriannuelles et de cartes de prescription \u00e0 taux variable (VRA), l&#039;analyse d\u00e9taill\u00e9e des donn\u00e9es de rendement et des outils de suivi des cultures.<\/p>\n<p>Par exemple, GeoPard peut nettoyer et calibrer les donn\u00e9es brutes de rendement des moissonneuses-batteuses et m\u00eame cr\u00e9er des cartes de rendement synth\u00e9tiques (estimant les rendements \u00e0 partir de donn\u00e9es satellitaires ou de drones) afin de pallier le manque de donn\u00e9es historiques. La plateforme prend \u00e9galement en charge l&#039;analyse des donn\u00e9es topographiques et p\u00e9dologiques, la visualisation 3D des parcelles, la comparaison des donn\u00e9es appliqu\u00e9es, et bien plus encore.<\/p>\n<ul>\n<li><strong>Cartographie des zones de gestion et des VRA\u00a0:<\/strong> GeoPard utilise des couches de rendement\/sol pour d\u00e9limiter les zones de champs et cr\u00e9er des cartes de prescription pour une application pr\u00e9cise des intrants.<\/li>\n<li><strong>Traitement des donn\u00e9es de rendement\u00a0:<\/strong> Le syst\u00e8me assure le nettoyage et l&#039;\u00e9talonnage automatis\u00e9s des donn\u00e9es de rendement des moissonneuses-batteuses et peut g\u00e9n\u00e9rer des cartes de rendement synth\u00e9tiques \u00e0 partir de donn\u00e9es pluriannuelles et de t\u00e9l\u00e9d\u00e9tection.<\/li>\n<li><strong>Surveillance des cultures et des champs\u00a0:<\/strong> Les outils satellitaires et l&#039;analyse multi-indices permettent de d\u00e9tecter les tendances spatiales des performances des cultures et les facteurs limitants d&#039;une ann\u00e9e \u00e0 l&#039;autre.<\/li>\n<\/ul>\n<h2>Recherche collaborative et essais sur le terrain<\/h2>\n<p>Dans le cadre de cette collaboration, CAST et NMSP explorent la plateforme GeoPard Agriculture pour traiter les donn\u00e9es brutes de surveillance du rendement de l&#039;ensilage de ma\u00efs et des grains afin de produire des cartes de rendement nettoy\u00e9es, des zones de stabilit\u00e9 du rendement et d&#039;\u00e9valuer la pr\u00e9cision de la g\u00e9n\u00e9ration de donn\u00e9es de rendement synth\u00e9tiques.<\/p>\n<p>Quirine Ketterings et son \u00e9quipe du NMSP utilisent les donn\u00e9es des champs CAST pour \u00e9valuer et am\u00e9liorer la pr\u00e9cision des algorithmes de GeoPard afin de cartographier les rendements et de d\u00e9terminer des rendements synth\u00e9tiques pour l&#039;\u00e9valuation de parcelles enti\u00e8res et pour des exp\u00e9rimentations. En collaboration avec GeoPard, Ketterings et son \u00e9quipe \u00e9valuent la qualit\u00e9 des donn\u00e9es et les protocoles permettant de g\u00e9n\u00e9rer des cartes de zones de stabilit\u00e9 des rendements pour les parcelles disposant de donn\u00e9es sur plusieurs ann\u00e9es.<\/p>\n<div id=\"attachment_12591\" style=\"width: 810px\" class=\"wp-caption aligncenter\"><img data-recalc-dims=\"1\" decoding=\"async\" aria-describedby=\"caption-attachment-12591\" data-attachment-id=\"12591\" data-permalink=\"https:\/\/geopard.tech\/fr\/blog\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture\/geopard-and-cornell-university-cast-nmsp-collaboration-on-data-driven-agriculture-2\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?fit=800%2C450&amp;ssl=1\" data-orig-size=\"800,450\" data-comments-opened=\"1\" data-image-title=\"GeoPard and Cornell University CAST, NMSP Collaboration on Data-Driven Agriculture\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?fit=800%2C450&amp;ssl=1\" class=\"wp-image-12591 size-full\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?resize=800%2C450&#038;ssl=1\" alt=\"Collaboration entre GeoPard et le CAST de l&#039;Universit\u00e9 Cornell, NMSP, sur l&#039;agriculture ax\u00e9e sur les donn\u00e9es\" width=\"800\" height=\"450\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?w=800&amp;ssl=1 800w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2025\/11\/GeoPard-and-Cornell-University-CAST-NMSP-Collaboration-on-Data-Driven-Agriculture.jpg?resize=768%2C432&amp;ssl=1 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><p id=\"caption-attachment-12591\" class=\"wp-caption-text\">Photo de Madeline Hanscom\/NMSP<\/p><\/div>\n<p>Leur objectif est de pouvoir analyser \u00e0 la fois les essais de recherche conventionnels men\u00e9s en milieu agricole et les essais r\u00e9cemment mis au point selon l&#039;approche d&#039;\u00e9valuation spatiale \u00e0 bande unique (SSEA), qui exploitent les connaissances sur la variabilit\u00e9 des rendements au sein d&#039;une m\u00eame parcelle. Les principaux aspects de cette collaboration sont les suivants\u00a0:<\/p>\n<ol>\n<li><strong>Int\u00e9gration des donn\u00e9es\u00a0:<\/strong> Les donn\u00e9es de r\u00e9colte et de pr\u00e9cision de CAST sont trait\u00e9es dans GeoPard, transformant les fichiers bruts en cartes de rendement g\u00e9or\u00e9f\u00e9renc\u00e9es et en couches de performance.<\/li>\n<li><strong>Validation de l&#039;algorithme\u00a0:<\/strong> Les algorithmes de cartographie des rendements et de rendement synth\u00e9tique de GeoPard sont test\u00e9s \u00e0 l&#039;aide des donn\u00e9es rigoureuses d&#039;essais en exploitation agricole de CAST\/NMSP, ce qui permet d&#039;affiner la technologie sur la base de mesures r\u00e9elles.<\/li>\n<li><strong>Analyse spatiale\u00a0:<\/strong> L&#039;\u00e9quipe g\u00e9n\u00e8re des cartes des zones de stabilit\u00e9 des rendements \u00e0 partir de donn\u00e9es pluriannuelles et \u00e9value dans quelle mesure les mod\u00e8les de GeoPard reproduisent fid\u00e8lement les sch\u00e9mas r\u00e9els sur le terrain.<\/li>\n<li><strong>Conception innovante de l&#039;essai\u00a0:<\/strong> De nouvelles m\u00e9thodes comme la SSEA utilisent les mod\u00e8les de rendement au sein des parcelles pour comparer efficacement les traitements, avec le soutien de l&#039;analyse spatiale de GeoPard.<\/li>\n<\/ol>\n<p>En collaborant, Cornell et GeoPard s&#039;assurent que les r\u00e9sultats de la plateforme soient ancr\u00e9s dans les r\u00e9alit\u00e9s agricoles. Bien que GeoPard s&#039;appuie sur une mod\u00e9lisation avanc\u00e9e (notamment l&#039;estimation des rendements par satellite), la validation sur ces exploitations agricoles de Cornell, riches en donn\u00e9es, renforce la fiabilit\u00e9 de ses recommandations. Cette int\u00e9gration de la science, de la technologie et des pratiques de terrain cr\u00e9e un cercle vertueux\u00a0: agriculteurs et chercheurs b\u00e9n\u00e9ficient ainsi d&#039;outils d&#039;agriculture de pr\u00e9cision plus performants.<\/p>\n<h2>Impact pratique : vers une agriculture de pr\u00e9cision durable<\/h2>\n<p>L\u2019objectif ultime est de traduire les r\u00e9sultats de la recherche en conseils pratiques pour les agriculteurs. Le suivi et la cartographie des rendements leur permettent de visualiser la variabilit\u00e9 au sein de leurs parcelles, ce qui favorise des actions cibl\u00e9es plut\u00f4t que des traitements uniformes. En effet, des \u00e9tudes montrent qu\u2019une cartographie r\u00e9guli\u00e8re des rendements aide les agriculteurs \u00e0 identifier les zones performantes et celles qui n\u00e9cessitent des am\u00e9liorations, leur permettant ainsi de planifier des interventions plus pr\u00e9cises.<\/p>\n<p>Par exemple, un agriculteur peut utiliser les cartes GeoPard pour appliquer de l&#039;engrais uniquement l\u00e0 o\u00f9 les cultures sont moins performantes que la moyenne de la parcelle, ou adopter des pratiques de conservation dans les zones \u00e0 faible rendement constant. En fournissant des donn\u00e9es nettoy\u00e9es, des cartes d&#039;analyse de la stabilit\u00e9 des rendements et des points de r\u00e9f\u00e9rence synth\u00e9tiques, le partenariat Cornell-GeoPard favorise des d\u00e9cisions rentables et respectueuses de l&#039;environnement.<\/p>","protected":false},"excerpt":{"rendered":"<p>Le site d&#039;essai et de d\u00e9monstration des syst\u00e8mes agricoles de Cornell (CAST) pour la ferme du futur et le programme de pointe de gestion des nutriments de Cornell (NMSP) se sont associ\u00e9s\u2026<\/p>","protected":false},"author":210157960,"featured_media":12593,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1587],"tags":[],"class_list":["post-12582","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-partnership"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - 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