{"id":6762,"date":"2023-05-17T23:45:08","date_gmt":"2023-05-17T21:45:08","guid":{"rendered":"https:\/\/geopard.tech\/?p=6762"},"modified":"2024-11-12T18:47:41","modified_gmt":"2024-11-12T17:47:41","slug":"modelo-de-deteccion-automatizada-de-limites-de-campo-para-agricultura-de-precision","status":"publish","type":"post","link":"https:\/\/geopard.tech\/es\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/","title":{"rendered":"Modelo Automatizado de Detecci\u00f3n de L\u00edmites de Campo para Agricultura de Precisi\u00f3n por GeoPard"},"content":{"rendered":"<p>GeoPard ha completado con \u00e9xito el desarrollo de un modelo automatizado de detecci\u00f3n de l\u00edmites de campos utilizando im\u00e1genes satelitales multianuales, detecci\u00f3n precisa de nubes y sombras, y algoritmos propios avanzados, incluidas redes neuronales profundas.<\/p>\n<p>El modelo de detecci\u00f3n de campos GeoPard ha alcanzado una precisi\u00f3n de vanguardia. <strong>0,975 en la m\u00e9trica de Intersecci\u00f3n sobre Uni\u00f3n (IoU).<\/strong>, validado en diversas regiones y tipos de cultivos a nivel mundial.<\/p>\n<p>Echa un vistazo a estas im\u00e1genes para ver los resultados en Alemania (el tama\u00f1o medio de los campos es de 7 hect\u00e1reas):<\/p>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"6765\" data-permalink=\"https:\/\/geopard.tech\/es\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/1-raw-sentinel-2-image\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?fit=695%2C439&amp;ssl=1\" data-orig-size=\"695,439\" data-comments-opened=\"1\" data-image-title=\"1 &amp;#8211; Raw Sentinel-2 image\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?fit=695%2C439&amp;ssl=1\" class=\"wp-image-6765 size-full aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?resize=695%2C439&#038;ssl=1\" alt=\"1 - Imagen sin procesar de Sentinel-2\" width=\"695\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?w=695&amp;ssl=1 695w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/1-Raw-Sentinel-2-image.jpg?resize=300%2C189&amp;ssl=1 300w\" sizes=\"(max-width: 695px) 100vw, 695px\" \/><\/p>\n<p style=\"text-align: center;\">1 \u2013 Imagen sin procesar de Sentinel-2<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"6768\" data-permalink=\"https:\/\/geopard.tech\/es\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/3-segmented-field-boundaries\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?fit=722%2C435&amp;ssl=1\" data-orig-size=\"722,435\" data-comments-opened=\"1\" data-image-title=\"3 &amp;#8211; Segmented field boundaries\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?fit=722%2C435&amp;ssl=1\" class=\"wp-image-6768 size-full aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?resize=722%2C435&#038;ssl=1\" alt=\"3 - L\u00edmites de campo segmentados\" width=\"722\" height=\"435\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?w=722&amp;ssl=1 722w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/3-Segmented-field-boundaries.jpg?resize=300%2C181&amp;ssl=1 300w\" sizes=\"(max-width: 722px) 100vw, 722px\" \/><\/p>\n<p style=\"text-align: center;\">2 \u2013 Imagen de superresoluci\u00f3n de Sentinel-2 por GeoPard (resoluci\u00f3n de 1 metro)<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"6766\" data-permalink=\"https:\/\/geopard.tech\/es\/blog\/automated-field-boundaries-detection-model-precision-agriculture\/2-super-resolution-sentinel-2-image-by-geopard\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?fit=724%2C440&amp;ssl=1\" data-orig-size=\"724,440\" data-comments-opened=\"1\" data-image-title=\"2 &amp;#8211; Super-resolution Sentinel-2 image by GeoPard\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?fit=724%2C440&amp;ssl=1\" class=\"wp-image-6766 size-full aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?resize=724%2C440&#038;ssl=1\" alt=\"2 - Imagen de superresoluci\u00f3n de Sentinel-2 por GeoPard\" width=\"724\" height=\"440\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?w=724&amp;ssl=1 724w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2023\/05\/2-Super-resolution-Sentinel-2-image-by-GeoPard.jpg?resize=300%2C182&amp;ssl=1 300w\" sizes=\"(max-width: 724px) 100vw, 724px\" \/><\/p>\n<p style=\"text-align: center;\">3 \u2013 L\u00edmites de campo segmentados, <strong>0.975 <\/strong><strong>M\u00e9trica de precisi\u00f3n de intersecci\u00f3n sobre uni\u00f3n (IoU), <\/strong>en m\u00faltiples regiones internacionales y tipos de cultivos.<\/p>\n<hr \/>\n<p>La integraci\u00f3n con nuestra API y la aplicaci\u00f3n GeoPard estar\u00e1 disponible pr\u00f3ximamente. Este m\u00e9todo automatizado y rentable ayuda a predecir los rendimientos, beneficia a las organizaciones gubernamentales y facilita la labor de los grandes terratenientes que a menudo necesitan actualizar los l\u00edmites de sus campos entre temporadas.<\/p>\n<p>El enfoque de GeoPard utiliza <a href=\"https:\/\/docs.geopard.tech\/geopard-tutorials\/product-tour-web-app\/satellite-monitoring\/crop-development-index-graph\">Tendencias de la vegetaci\u00f3n de cultivos plurianuales<\/a> utilizando an\u00e1lisis multifactorial y rotaci\u00f3n de cultivos.<\/p>\n<p><img decoding=\"async\" src=\"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&amp;width=768&amp;dpr=4&amp;quality=100&amp;sign=599c4c38&amp;sv=1\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>El modelo es accesible a trav\u00e9s de <a href=\"https:\/\/docs.geopard.tech\/geopard-tutorials\/api-docs\/geopard-api-overview\">API de GeoPard<\/a> Con un modelo de pago por uso, ofrece flexibilidad sin necesidad de costosas suscripciones.<\/p>\n<p>&nbsp;<\/p>\n<h2>\u00bfQu\u00e9 es la delimitaci\u00f3n de linderos de campo?<\/h2>\n<p>La delimitaci\u00f3n de linderos de parcelas se refiere al proceso de identificar y cartografiar los l\u00edmites de campos agr\u00edcolas o parcelas de tierra. Implica el uso de diversas t\u00e9cnicas y fuentes de datos para delimitar los l\u00edmites de cada campo o parcela agr\u00edcola.<\/p>\n<p>Tradicionalmente, los agricultores o propietarios de las tierras delimitaban manualmente los linderos de los campos bas\u00e1ndose en sus conocimientos y observaciones.<\/p>\n<p>Sin embargo, gracias a los avances tecnol\u00f3gicos, en particular en la teledetecci\u00f3n y los sistemas de informaci\u00f3n geogr\u00e1fica (SIG), los m\u00e9todos automatizados y semiautomatizados se han vuelto cada vez m\u00e1s comunes.<\/p>\n<p>Un m\u00e9todo com\u00fan es el an\u00e1lisis de im\u00e1genes satelitales o a\u00e9reas. Las im\u00e1genes de alta resoluci\u00f3n capturadas por sat\u00e9lites o aeronaves pueden proporcionar informaci\u00f3n detallada sobre el paisaje, incluidos los l\u00edmites entre diferentes parcelas de tierra.<\/p>\n<p>Se pueden aplicar algoritmos de procesamiento de im\u00e1genes a estas im\u00e1genes para detectar caracter\u00edsticas distintivas, como cambios en el tipo de vegetaci\u00f3n, el color, la textura o patrones que indiquen la presencia de l\u00edmites de campo.<\/p>\n<p>Otra t\u00e9cnica consiste en utilizar datos LiDAR (detecci\u00f3n y medici\u00f3n de distancia mediante luz), que emplea haces l\u00e1ser para medir la distancia entre el sensor y la superficie terrestre.<\/p>\n<p>Los datos LiDAR pueden proporcionar informaci\u00f3n topogr\u00e1fica y de elevaci\u00f3n detallada, lo que permite identificar variaciones sutiles en el terreno que pueden corresponder a los l\u00edmites de los campos.<\/p>\n<p>Adem\u00e1s, los sistemas de informaci\u00f3n geogr\u00e1fica (SIG) desempe\u00f1an un papel crucial en la delimitaci\u00f3n de los l\u00edmites de los campos.<\/p>\n<p>El software SIG permite la integraci\u00f3n y el an\u00e1lisis de diversas capas de datos, incluyendo im\u00e1genes satelitales, mapas topogr\u00e1ficos, registros de propiedad de tierras y otra informaci\u00f3n relevante. Al combinar estas fuentes de datos, el SIG puede ayudar en la interpretaci\u00f3n e identificaci\u00f3n de los l\u00edmites de los terrenos.<\/p>\n<p>La delimitaci\u00f3n precisa de los terrenos es fundamental por varias razones. Facilita una mejor gesti\u00f3n de los recursos agr\u00edcolas, permite la aplicaci\u00f3n de t\u00e9cnicas de agricultura de precisi\u00f3n y respalda la planificaci\u00f3n e implementaci\u00f3n de pr\u00e1cticas agr\u00edcolas como el riego, la fertilizaci\u00f3n y el control de plagas.<\/p>\n<p>Los datos precisos sobre los l\u00edmites de las parcelas tambi\u00e9n ayudan en la administraci\u00f3n de tierras, la planificaci\u00f3n del uso del suelo y el cumplimiento de las normativas agr\u00edcolas.<\/p>\n<h2>\u00bfC\u00f3mo es \u00fatil?<\/h2>\n<p>Desempe\u00f1a un papel crucial en la agricultura y la gesti\u00f3n de tierras, proporcionando diversos beneficios y una importancia respaldada por evidencia y cifras globales. A continuaci\u00f3n, algunos puntos clave:<\/p>\n<p><strong>1. Agricultura de precisi\u00f3n:<\/strong> La delimitaci\u00f3n precisa de los campos facilita la implementaci\u00f3n de t\u00e9cnicas de agricultura de precisi\u00f3n, donde recursos como el agua, los fertilizantes y los pesticidas se dirigen con exactitud a \u00e1reas espec\u00edficas dentro de los campos.<\/p>\n<p>Seg\u00fan un informe del Banco Mundial, las tecnolog\u00edas de agricultura de precisi\u00f3n tienen el potencial de aumentar el rendimiento de los cultivos en 20% y reducir los costos de los insumos en 10-20%.<\/p>\n<p><strong>2. Gesti\u00f3n eficiente de recursos:<\/strong> Permite a los agricultores gestionar mejor los recursos optimizando los sistemas de riego, ajustando las pr\u00e1cticas de fertilizaci\u00f3n y supervisando la salud de los cultivos. Esta precisi\u00f3n reduce el desperdicio de recursos y el impacto ambiental.<\/p>\n<p>La Organizaci\u00f3n de las Naciones Unidas para la Alimentaci\u00f3n y la Agricultura (FAO) estima que las pr\u00e1cticas de agricultura de precisi\u00f3n pueden reducir el consumo de agua entre 20 y 50 toneladas m\u00e9tricas, disminuir el consumo de fertilizantes entre 10 y 20 toneladas m\u00e9tricas y reducir el uso de pesticidas entre 20 y 30 toneladas m\u00e9tricas.<\/p>\n<p><strong>3. Planificaci\u00f3n del uso del suelo:<\/strong> Contar con datos precisos sobre los l\u00edmites de las parcelas es fundamental para la planificaci\u00f3n del uso del suelo, ya que garantiza una utilizaci\u00f3n eficiente de las tierras agr\u00edcolas disponibles. Esto permite a los responsables pol\u00edticos y a los gestores de tierras tomar decisiones informadas sobre la asignaci\u00f3n de terrenos, la rotaci\u00f3n de cultivos y la zonificaci\u00f3n.<\/p>\n<p>Esto puede conducir a una mayor productividad agr\u00edcola y a una mejor seguridad alimentaria. Un estudio publicado en el Journal of Soil and Water Conservation revel\u00f3 que una planificaci\u00f3n eficaz del uso de la tierra podr\u00eda aumentar la producci\u00f3n mundial de alimentos en 20-67%.<\/p>\n<p><strong>4. Subvenciones y seguros agr\u00edcolas:<\/strong> Muchos pa\u00edses ofrecen subsidios agr\u00edcolas y programas de seguros basados en los l\u00edmites de las parcelas. Una delimitaci\u00f3n precisa ayuda a determinar las \u00e1reas de tierra elegibles, garantiza una distribuci\u00f3n equitativa de los subsidios y permite calcular con exactitud las primas de los seguros.<\/p>\n<p>Por ejemplo, la Pol\u00edtica Agr\u00edcola Com\u00fan (PAC) de la Uni\u00f3n Europea se basa en la delimitaci\u00f3n precisa de las parcelas para el c\u00e1lculo de las subvenciones y el control del cumplimiento.<\/p>\n<p><strong>5. Administraci\u00f3n de tierras y l\u00edmites legales:<\/strong> La delimitaci\u00f3n de los linderos de las parcelas agr\u00edcolas es fundamental para la administraci\u00f3n de tierras, los derechos de propiedad y la resoluci\u00f3n de disputas territoriales. Los mapas precisos de los linderos ayudan a establecer la propiedad legal, respaldan los sistemas de registro de tierras y facilitan transacciones transparentes.<\/p>\n<p>El Banco Mundial estima que solo 301.000 millones de personas de la poblaci\u00f3n mundial tienen derechos legalmente documentados sobre sus tierras, lo que subraya la importancia de contar con datos fiables sobre los l\u00edmites de las parcelas para garantizar la seguridad de la tenencia de la tierra.<\/p>\n<p><strong>6. Cumplimiento normativo y sostenibilidad ambiental:<\/strong> La delimitaci\u00f3n precisa de los terrenos facilita el control del cumplimiento de las normativas medioambientales y garantiza la adhesi\u00f3n a las pr\u00e1cticas agr\u00edcolas sostenibles.<\/p>\n<p>Ayuda a identificar zonas de amortiguaci\u00f3n, \u00e1reas protegidas y zonas propensas a la erosi\u00f3n o la contaminaci\u00f3n del agua, lo que permite a los agricultores adoptar las medidas adecuadas. El cumplimiento de las normas ambientales fomenta la sostenibilidad y reduce los impactos negativos en los ecosistemas.<\/p>\n<p>Seg\u00fan la FAO, las pr\u00e1cticas agr\u00edcolas sostenibles pueden mitigar hasta 6.000 millones de toneladas de emisiones de gases de efecto invernadero al a\u00f1o.<\/p>\n<p>Estos puntos ilustran su utilidad e importancia en la agricultura y la gesti\u00f3n de tierras. Las evidencias y cifras globales presentadas respaldan los impactos positivos que puede tener en la eficiencia de los recursos, la planificaci\u00f3n del uso de la tierra, los marcos legales, la sostenibilidad ambiental y la productividad agr\u00edcola en general.<\/p>\n<p>En resumen, la delimitaci\u00f3n de parcelas agr\u00edcolas consiste en identificar y cartografiar los l\u00edmites de los campos o terrenos agr\u00edcolas. Para ello, se utilizan diversas t\u00e9cnicas, como el an\u00e1lisis de im\u00e1genes satelitales, datos LiDAR y SIG, con el fin de definir y delimitar con precisi\u00f3n estos l\u00edmites, lo que permite una gesti\u00f3n eficaz de la tierra y pr\u00e1cticas agr\u00edcolas \u00f3ptimas.<\/p>","protected":false},"excerpt":{"rendered":"<p>GeoPard ha completado con \u00e9xito el desarrollo de un modelo automatizado de detecci\u00f3n de l\u00edmites de campos utilizando im\u00e1genes satelitales multianuales, detecci\u00f3n precisa de nubes y sombras, y tecnolog\u00eda patentada avanzada\u2026<\/p>","protected":false},"author":210157960,"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":"","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":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":[1618,1668],"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-crop-monitoring","tag-field-boundaries"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - 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