API GeoPard<\/a> avec un paiement \u00e0 l'utilisation, offrant une grande flexibilit\u00e9 sans n\u00e9cessiter d'abonnements co\u00fbteux.<\/p>\n <\/p>\n
Qu'est-ce que la d\u00e9limitation des limites de champs\u00a0?<\/h2>\n
La d\u00e9limitation des parcelles agricoles consiste \u00e0 identifier et \u00e0 cartographier les limites des champs ou des parcelles de terrain. Elle implique l'utilisation de diverses techniques et sources de donn\u00e9es pour d\u00e9limiter les parcelles individuelles.<\/p>\n
Traditionnellement, les limites des champs \u00e9taient d\u00e9limit\u00e9es manuellement par les agriculteurs ou les propri\u00e9taires fonciers en fonction de leurs connaissances et de leurs observations.<\/p>\n
Cependant, gr\u00e2ce aux progr\u00e8s technologiques, notamment dans le domaine de la t\u00e9l\u00e9d\u00e9tection et des syst\u00e8mes d'information g\u00e9ographique (SIG), les m\u00e9thodes automatis\u00e9es et semi-automatis\u00e9es sont devenues de plus en plus courantes.<\/p>\n
Une m\u00e9thode courante consiste \u00e0 analyser des images satellitaires ou a\u00e9riennes. Les images haute r\u00e9solution captur\u00e9es par satellite ou par avion peuvent fournir des informations d\u00e9taill\u00e9es sur le paysage, notamment sur les limites entre les diff\u00e9rentes parcelles de terrain.<\/p>\n
Des algorithmes de traitement d'images peuvent \u00eatre appliqu\u00e9s \u00e0 ces images pour d\u00e9tecter des caract\u00e9ristiques distinctes telles que des changements de type de v\u00e9g\u00e9tation, de couleur, de texture ou de motifs indiquant la pr\u00e9sence de limites de champs.<\/p>\n
Une autre technique consiste \u00e0 utiliser les donn\u00e9es LiDAR (Light Detection and Ranging), qui utilisent des faisceaux laser pour mesurer la distance entre le capteur et la surface de la Terre.<\/p>\n
Les donn\u00e9es LiDAR peuvent fournir des informations d\u00e9taill\u00e9es sur l'altitude et la topographie, permettant d'identifier des variations subtiles du terrain qui peuvent correspondre aux limites des champs.<\/p>\n
De plus, les syst\u00e8mes d'information g\u00e9ographique (SIG) jouent un r\u00f4le crucial dans la d\u00e9limitation des limites des champs.<\/p>\n
Les logiciels SIG permettent l'int\u00e9gration et l'analyse de diverses couches de donn\u00e9es, notamment l'imagerie satellitaire, les cartes topographiques, les registres fonciers et d'autres informations pertinentes. En combinant ces sources de donn\u00e9es, les SIG facilitent l'interpr\u00e9tation et l'identification des limites des parcelles.<\/p>\n
La d\u00e9limitation pr\u00e9cise des parcelles est essentielle pour plusieurs raisons. Elle facilite une meilleure gestion des ressources agricoles, permet des techniques d'agriculture de pr\u00e9cision et soutient la planification et la mise en \u0153uvre de pratiques agricoles telles que l'irrigation, la fertilisation et la lutte antiparasitaire.<\/p>\n
Des donn\u00e9es pr\u00e9cises sur les limites des parcelles facilitent \u00e9galement l'administration fonci\u00e8re, la planification de l'utilisation des terres et le respect des r\u00e9glementations agricoles.<\/p>\n
En quoi est-ce utile ?<\/h2>\n
Elle joue un r\u00f4le crucial dans l'agriculture et la gestion des terres, offrant de nombreux avantages et une importance \u00e9tay\u00e9e par des donn\u00e9es probantes et des chiffres mondiaux. Voici quelques points cl\u00e9s\u00a0:<\/p>\n
1. Agriculture de pr\u00e9cision :<\/strong> Des limites de parcelles pr\u00e9cises facilitent la mise en \u0153uvre de techniques d'agriculture de pr\u00e9cision, o\u00f9 les ressources telles que l'eau, les engrais et les pesticides sont cibl\u00e9es avec pr\u00e9cision sur des zones sp\u00e9cifiques au sein des champs.<\/p>\nSelon un rapport de la Banque mondiale, les technologies d'agriculture de pr\u00e9cision ont le potentiel d'augmenter les rendements agricoles d'ici 2013 et de r\u00e9duire les co\u00fbts des intrants d'ici 2013.<\/p>\n
2. Gestion efficace des ressources :<\/strong> Elle permet aux agriculteurs de mieux g\u00e9rer leurs ressources en optimisant les syst\u00e8mes d'irrigation, en ajustant les pratiques de fertilisation et en surveillant la sant\u00e9 des cultures. Cette pr\u00e9cision r\u00e9duit le gaspillage des ressources et l'impact environnemental.<\/p>\nL\u2019Organisation des Nations Unies pour l\u2019alimentation et l\u2019agriculture (FAO) estime que les pratiques agricoles de pr\u00e9cision peuvent r\u00e9duire la consommation d\u2019eau de 20 \u00e0 501 TPE\/3 TPE, diminuer la consommation d\u2019engrais de 10 \u00e0 201 TPE\/3 TPE et r\u00e9duire l\u2019utilisation de pesticides de 20 \u00e0 301 TPE\/3 TPE.<\/p>\n
3. Planification de l'utilisation des terres :<\/strong> Des donn\u00e9es pr\u00e9cises sur les limites des parcelles sont essentielles \u00e0 la planification de l'utilisation des terres, garantissant une utilisation efficace des terres agricoles disponibles. Elles permettent aux d\u00e9cideurs et aux gestionnaires fonciers de prendre des d\u00e9cisions \u00e9clair\u00e9es concernant l'affectation des terres, la rotation des cultures et le zonage.<\/p>\nCela peut conduire \u00e0 une productivit\u00e9 agricole accrue et \u00e0 une s\u00e9curit\u00e9 alimentaire am\u00e9lior\u00e9e. Une \u00e9tude publi\u00e9e dans le Journal of Soil and Water Conservation a r\u00e9v\u00e9l\u00e9 qu'une planification efficace de l'utilisation des terres pourrait augmenter la production alimentaire mondiale de 20 \u00e0 671 tonnes 300 tonnes.<\/p>\n
4. Subventions et assurances agricoles :<\/strong> De nombreux pays proposent des subventions agricoles et des programmes d'assurance bas\u00e9s sur les limites des parcelles. Une d\u00e9limitation pr\u00e9cise permet de d\u00e9terminer les surfaces \u00e9ligibles, d'assurer une r\u00e9partition \u00e9quitable des subventions et de calculer avec exactitude les primes d'assurance.<\/p>\nPar exemple, la politique agricole commune (PAC) de l'Union europ\u00e9enne repose sur des limites de parcelles pr\u00e9cises pour le calcul des subventions et le contr\u00f4le de la conformit\u00e9.<\/p>\n
5. Administration fonci\u00e8re et limites l\u00e9gales :<\/strong> La d\u00e9limitation pr\u00e9cise des parcelles agricoles est essentielle \u00e0 l'administration fonci\u00e8re, aux droits de propri\u00e9t\u00e9 et au r\u00e8glement des litiges fonciers. Des cartes pr\u00e9cises de ces limites permettent d'\u00e9tablir la propri\u00e9t\u00e9 l\u00e9gale, de soutenir les syst\u00e8mes d'enregistrement foncier et de faciliter des transactions fonci\u00e8res transparentes.<\/p>\nLa Banque mondiale estime que seulement 301 000 milliards de personnes dans le monde poss\u00e8dent des droits fonciers l\u00e9galement document\u00e9s, ce qui souligne l'importance de donn\u00e9es fiables sur les limites des parcelles pour une s\u00e9curit\u00e9 fonci\u00e8re assur\u00e9e.<\/p>\n
6. Conformit\u00e9 et durabilit\u00e9 environnementale\u00a0:<\/strong> Des limites de parcelles pr\u00e9cises facilitent le contr\u00f4le de la conformit\u00e9, garantissant le respect des r\u00e9glementations environnementales et des pratiques agricoles durables.<\/p>\nElle permet d'identifier les zones tampons, les aires prot\u00e9g\u00e9es et les zones sujettes \u00e0 l'\u00e9rosion ou \u00e0 la contamination de l'eau, permettant ainsi aux agriculteurs de prendre les mesures appropri\u00e9es. Le respect des normes environnementales renforce la durabilit\u00e9 et r\u00e9duit les impacts n\u00e9gatifs sur les \u00e9cosyst\u00e8mes.<\/p>\n
Selon la FAO, les pratiques agricoles durables peuvent att\u00e9nuer jusqu'\u00e0 6 milliards de tonnes d'\u00e9missions de gaz \u00e0 effet de serre par an.<\/p>\n
Ces points illustrent son utilit\u00e9 et son importance en agriculture et en gestion des terres. Les donn\u00e9es et les chiffres mondiaux pr\u00e9sent\u00e9s confirment ses effets positifs sur l'efficacit\u00e9 des ressources, la planification de l'utilisation des terres, les cadres juridiques, la durabilit\u00e9 environnementale et la productivit\u00e9 agricole globale.<\/p>\n
En r\u00e9sum\u00e9, la d\u00e9limitation des parcelles agricoles consiste \u00e0 identifier et \u00e0 cartographier les limites des champs ou des parcelles de terre cultiv\u00e9es. Elle s'appuie sur diverses techniques, telles que l'analyse d'images satellitaires, les donn\u00e9es LiDAR et les SIG, afin de d\u00e9finir et de d\u00e9limiter pr\u00e9cis\u00e9ment ces fronti\u00e8res, permettant ainsi une gestion efficace des terres et des pratiques agricoles optimales.<\/p>","protected":false},"excerpt":{"rendered":"
GeoPard a men\u00e9 \u00e0 bien le d\u00e9veloppement d'un mod\u00e8le automatis\u00e9 de d\u00e9tection des limites de champs utilisant l'imagerie satellite pluriannuelle, la d\u00e9tection pr\u00e9cise des nuages et des ombres, et des technologies propri\u00e9taires avanc\u00e9es\u2026<\/p>","protected":false},"author":210249433,"featured_media":6764,"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":"","_crdt_document":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"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":[1661,1586,1372,1377,1378,1368],"tags":[1668,1618],"class_list":["post-6762","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-satellite-imagery","category-product-features","category-blog","category-crop-monitoring","category-remote-sensing","category-yield","tag-field-boundaries","tag-crop-monitoring"],"acf":[],"yoast_head":"\n
Automated Field Boundaries Detection Model for Precision Agriculture by GeoPard - GeoPard Agriculture<\/title>\n<meta name=\"description\" content=\"GeoPard have completed a successful PoC of automated field boundaries delineation model using Segment Anything and classification models\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/geopard.tech\/fr\/blog\/field-boundaries-delineation-model-to-predict-yields\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Automated Field Boundaries Detection Model for Precision Agriculture by GeoPard\" \/>\n<meta property=\"og:description\" content=\"GeoPard have completed a successful PoC of automated field boundaries delineation model using Segment Anything and classification models\" \/>\n<meta property=\"og:url\" content=\"https:\/\/geopard.tech\/fr\/blog\/field-boundaries-delineation-model-to-predict-yields\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - Precision agriculture Mapping software\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/geopardAgriculture\/\" \/>\n<meta property=\"article:published_time\" content=\"2023-05-17T21:45:08+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-12T17:47:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/geopard.tech\/wp-content\/uploads\/2023\/05\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"724\" \/>\n\t<meta property=\"og:image:height\" content=\"440\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Muhammad Farjad\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@geopardagri\" \/>\n<meta name=\"twitter:site\" content=\"@geopardagri\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Muhammad Farjad\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/\"},\"author\":{\"name\":\"Muhammad Farjad\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/person\\\/123c5562fb47aa8cf3aa81ae91e5e935\"},\"headline\":\"Automated Field Boundaries Detection Model for Precision Agriculture by GeoPard\",\"datePublished\":\"2023-05-17T21:45:08+00:00\",\"dateModified\":\"2024-11-12T17:47:41+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/\"},\"wordCount\":976,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg?fit=724%2C440&ssl=1\",\"keywords\":[\"Field Boundaries\",\"Crop Monitoring\"],\"articleSection\":[\"Satellite Imagery\",\"Product features\",\"Blog\",\"Crop monitoring\",\"Remote Sensing\",\"Yield\"],\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/\",\"url\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/\",\"name\":\"Automated Field Boundaries Detection Model for Precision Agriculture by GeoPard - GeoPard Agriculture\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg?fit=724%2C440&ssl=1\",\"datePublished\":\"2023-05-17T21:45:08+00:00\",\"dateModified\":\"2024-11-12T17:47:41+00:00\",\"description\":\"GeoPard have completed a successful PoC of automated field boundaries delineation model using Segment Anything and classification models\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/#primaryimage\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg?fit=724%2C440&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg?fit=724%2C440&ssl=1\",\"width\":724,\"height\":440,\"caption\":\"Field Boundaries Delineation Model to Predict Yields in Precision Agriculture\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/blog\\\/field-boundaries-delineation-model-to-predict-yields\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/geopard.tech\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Field Boundaries Delineation Model to Predict Yields\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#website\",\"url\":\"https:\\\/\\\/geopard.tech\\\/\",\"name\":\"GeoPard - Precision agriculture software\",\"description\":\"Precision agriculture Mapping software\",\"publisher\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#organization\"},\"alternateName\":\"GeoPard\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/geopard.tech\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#organization\",\"name\":\"GeoPard Agriculture\",\"alternateName\":\"GeoPard\",\"url\":\"https:\\\/\\\/geopard.tech\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/favicon.png?fit=200%2C200&ssl=1\",\"contentUrl\":\"https:\\\/\\\/i0.wp.com\\\/geopard.tech\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/favicon.png?fit=200%2C200&ssl=1\",\"width\":200,\"height\":200,\"caption\":\"GeoPard Agriculture\"},\"image\":{\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/geopardAgriculture\\\/\",\"https:\\\/\\\/x.com\\\/geopardagri\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/geopard-agriculture\\\/\",\"https:\\\/\\\/www.instagram.com\\\/geopardagriculture\\\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/geopard.tech\\\/#\\\/schema\\\/person\\\/123c5562fb47aa8cf3aa81ae91e5e935\",\"name\":\"Muhammad Farjad\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/51b9af87d9b0801ae1c0ab294a0f06eb669f60d5168f33394aeeca9de86537bb?s=96&d=identicon&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/51b9af87d9b0801ae1c0ab294a0f06eb669f60d5168f33394aeeca9de86537bb?s=96&d=identicon&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/51b9af87d9b0801ae1c0ab294a0f06eb669f60d5168f33394aeeca9de86537bb?s=96&d=identicon&r=g\",\"caption\":\"Muhammad Farjad\"},\"url\":\"#\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Mod\u00e8le de d\u00e9tection automatis\u00e9e des limites de parcelles pour l'agriculture de pr\u00e9cision par GeoPard - GeoPard Agriculture","description":"GeoPard a men\u00e9 \u00e0 bien une preuve de concept (PoC) d'un mod\u00e8le de d\u00e9limitation automatis\u00e9e des limites de champs utilisant Segment Anything et des mod\u00e8les de classification.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/geopard.tech\/fr\/blog\/field-boundaries-delineation-model-to-predict-yields\/","og_locale":"fr_FR","og_type":"article","og_title":"Automated Field Boundaries Detection Model for Precision Agriculture by GeoPard","og_description":"GeoPard have completed a successful PoC of automated field boundaries delineation model using Segment Anything and classification models","og_url":"https:\/\/geopard.tech\/fr\/blog\/field-boundaries-delineation-model-to-predict-yields\/","og_site_name":"GeoPard - Precision agriculture Mapping software","article_publisher":"https:\/\/www.facebook.com\/geopardAgriculture\/","article_published_time":"2023-05-17T21:45:08+00:00","article_modified_time":"2024-11-12T17:47:41+00:00","og_image":[{"width":724,"height":440,"url":"https:\/\/geopard.tech\/wp-content\/uploads\/2023\/05\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg","type":"image\/jpeg"}],"author":"Muhammad Farjad","twitter_card":"summary_large_image","twitter_creator":"@geopardagri","twitter_site":"@geopardagri","twitter_misc":{"\u00c9crit par":"Muhammad Farjad","Dur\u00e9e de lecture estim\u00e9e":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/#article","isPartOf":{"@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/"},"author":{"name":"Muhammad Farjad","@id":"https:\/\/geopard.tech\/#\/schema\/person\/123c5562fb47aa8cf3aa81ae91e5e935"},"headline":"Automated Field Boundaries Detection Model for Precision Agriculture by GeoPard","datePublished":"2023-05-17T21:45:08+00:00","dateModified":"2024-11-12T17:47:41+00:00","mainEntityOfPage":{"@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/"},"wordCount":976,"commentCount":0,"publisher":{"@id":"https:\/\/geopard.tech\/#organization"},"image":{"@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg?fit=724%2C440&ssl=1","keywords":["Field Boundaries","Crop Monitoring"],"articleSection":["Satellite Imagery","Product features","Blog","Crop monitoring","Remote Sensing","Yield"],"inLanguage":"fr-FR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/","url":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/","name":"Mod\u00e8le de d\u00e9tection automatis\u00e9e des limites de parcelles pour l'agriculture de pr\u00e9cision par GeoPard - GeoPard Agriculture","isPartOf":{"@id":"https:\/\/geopard.tech\/#website"},"primaryImageOfPage":{"@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/#primaryimage"},"image":{"@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/#primaryimage"},"thumbnailUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg?fit=724%2C440&ssl=1","datePublished":"2023-05-17T21:45:08+00:00","dateModified":"2024-11-12T17:47:41+00:00","description":"GeoPard a men\u00e9 \u00e0 bien une preuve de concept (PoC) d'un mod\u00e8le de d\u00e9limitation automatis\u00e9e des limites de champs utilisant Segment Anything et des mod\u00e8les de classification.","breadcrumb":{"@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/#primaryimage","url":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg?fit=724%2C440&ssl=1","contentUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg?fit=724%2C440&ssl=1","width":724,"height":440,"caption":"Field Boundaries Delineation Model to Predict Yields in Precision Agriculture"},{"@type":"BreadcrumbList","@id":"https:\/\/geopard.tech\/blog\/field-boundaries-delineation-model-to-predict-yields\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/geopard.tech\/"},{"@type":"ListItem","position":2,"name":"Field Boundaries Delineation Model to Predict Yields"}]},{"@type":"WebSite","@id":"https:\/\/geopard.tech\/#website","url":"https:\/\/geopard.tech\/","name":"GeoPard - Logiciel d'agriculture de pr\u00e9cision","description":"Logiciel de cartographie pour l'agriculture de pr\u00e9cision","publisher":{"@id":"https:\/\/geopard.tech\/#organization"},"alternateName":"GeoPard","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/geopard.tech\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/geopard.tech\/#organization","name":"GeoPard Agriculture","alternateName":"GeoPard","url":"https:\/\/geopard.tech\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/geopard.tech\/#\/schema\/logo\/image\/","url":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/03\/favicon.png?fit=200%2C200&ssl=1","contentUrl":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/03\/favicon.png?fit=200%2C200&ssl=1","width":200,"height":200,"caption":"GeoPard Agriculture"},"image":{"@id":"https:\/\/geopard.tech\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/geopardAgriculture\/","https:\/\/x.com\/geopardagri","https:\/\/www.linkedin.com\/company\/geopard-agriculture\/","https:\/\/www.instagram.com\/geopardagriculture\/"]},{"@type":"Person","@id":"https:\/\/geopard.tech\/#\/schema\/person\/123c5562fb47aa8cf3aa81ae91e5e935","name":"Muhammad Farjad","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/secure.gravatar.com\/avatar\/51b9af87d9b0801ae1c0ab294a0f06eb669f60d5168f33394aeeca9de86537bb?s=96&d=identicon&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/51b9af87d9b0801ae1c0ab294a0f06eb669f60d5168f33394aeeca9de86537bb?s=96&d=identicon&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/51b9af87d9b0801ae1c0ab294a0f06eb669f60d5168f33394aeeca9de86537bb?s=96&d=identicon&r=g","caption":"Muhammad Farjad"},"url":"#"}]}},"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/Field-Boundaries-Delineation-Model-to-Predict-Yields-in-Precision-Agriculture.jpg?fit=724%2C440&ssl=1","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/pdiCPa-1L4","_links":{"self":[{"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/posts\/6762","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/users\/210249433"}],"replies":[{"embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/comments?post=6762"}],"version-history":[{"count":0,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/posts\/6762\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/media\/6764"}],"wp:attachment":[{"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/media?parent=6762"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/categories?post=6762"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geopard.tech\/fr\/wp-json\/wp\/v2\/tags?post=6762"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"1](\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?resize=695%2C439&ssl=1\")
<\/p>\n![\"3](\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?resize=722%2C435&ssl=1\")
<\/p>\n![\"2](\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?resize=724%2C440&ssl=1\")
<\/p>\n![](\"https:\/\/docs.geopard.tech\/~gitbook\/image?url=https%3A%2F%2F3272281156-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FYICBELdyAXXebKAzfLOR%252Fuploads%252FCPTPgYcnX5R6t8cY5NFW%252FGeoPard%2520-%2520Biomass%2520development%2520index%2520as%2520a%2520graph.png%3Falt%3Dmedia%26token%3D36d87266-093f-43b3-a14c-85f0a0cad58a&width=768&dpr=4&quality=100&sign=599c4c38&sv=1\")
<\/p>\n