{"id":5661,"date":"2022-10-11T19:50:54","date_gmt":"2022-10-11T17:50:54","guid":{"rendered":"https:\/\/geopard.tech\/?p=5661"},"modified":"2023-05-27T07:59:45","modified_gmt":"2023-05-27T05:59:45","slug":"precision-analitica-basada-en-ecuaciones","status":"publish","type":"post","link":"https:\/\/geopard.tech\/es\/blog\/equation-based-analytics-precision\/","title":{"rendered":"An\u00e1lisis basado en ecuaciones en la agricultura de precisi\u00f3n"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Con el lanzamiento del m\u00f3dulo de an\u00e1lisis basado en ecuaciones, el equipo de GeoPard ha dado un gran paso adelante al proporcionar a agricultores, agr\u00f3nomos y analistas de datos espaciales informaci\u00f3n pr\u00e1ctica para cada metro cuadrado. El m\u00f3dulo incluye un cat\u00e1logo de m\u00e1s de 50 f\u00f3rmulas de precisi\u00f3n GeoPard predefinidas que abarcan una amplia gama de an\u00e1lisis relacionados con la agricultura.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Las f\u00f3rmulas de precisi\u00f3n se han desarrollado bas\u00e1ndose en <strong>Investigaci\u00f3n agron\u00f3mica independiente plurianual universitaria e industrial.<\/strong> y han sido sometidos a pruebas rigurosas para garantizar su precisi\u00f3n y utilidad. Se pueden configurar f\u00e1cilmente para ser <strong>ejecutado autom\u00e1ticamente<\/strong> Para cualquier sector, proporciona a los usuarios informaci\u00f3n valiosa y fiable que les ayuda a optimizar el rendimiento de sus cultivos y a reducir los costes de producci\u00f3n.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">El m\u00f3dulo de an\u00e1lisis basado en ecuaciones es una funci\u00f3n clave de la plataforma GeoPard, que proporciona a los usuarios una potente herramienta para comprender mejor sus operaciones y tomar decisiones basadas en datos sobre sus pr\u00e1cticas agr\u00edcolas. Gracias a su cat\u00e1logo de f\u00f3rmulas en constante crecimiento y a la posibilidad de personalizarlas para diferentes escenarios de campo, GeoPard puede satisfacer las necesidades espec\u00edficas de cualquier explotaci\u00f3n agr\u00edcola.<\/p>\r\n\r\n\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"has-black-color has-text-color has-medium-font-size wp-block-paragraph\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/lh4.googleusercontent.com\/GlMwn4wfmG_uCEh4YaAY7w8wMmZ-eqdVkS9y8gZr1GFxnS7SJX_oH7njtMadYROdlHRkmsqg69JEGGFl-m02gJhdipOKxaoyohJDuzo5lAdmsx3CEGc3jUbTgaakZZc1ZzL1IThM15urylg81hoYv3Fv_lfHK3Y3iYtNiOBMhEGBzKF_eoyV8QBcJQ\" alt=\"Eliminaci\u00f3n de potasio basada en datos de rendimiento\" width=\"900\" height=\"517\" \/><\/p>\r\n\r\n\r\n\r\n<p class=\"has-text-align-center wp-block-paragraph\"><em>Eliminaci\u00f3n de potasio basada en datos de rendimiento<\/em><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<h2 class=\"wp-block-heading has-luminous-vivid-orange-color has-text-color\">Casos de uso (ver ejemplos a continuaci\u00f3n):<\/h2>\r\n\r\n\r\n\r\n<ul class=\"wp-block-list\">\r\n<li><strong>Captaci\u00f3n de nitr\u00f3geno<\/strong> en n\u00fameros absolutos utilizando datos de rendimiento y prote\u00ednas<\/li>\r\n\r\n\r\n\r\n<li><a style=\"font-weight: bold;\" href=\"https:\/\/geopard.tech\/es\/blog\/que-es-la-deficiencia-de-nitrogeno-y-como-solucionarla-en-las-plantas\/\">Eficiencia en el uso del nitr\u00f3geno (NUE)<\/a> y c\u00e1lculos de exceso con capas de datos de rendimiento y prote\u00ednas<\/li>\r\n\r\n\r\n\r\n<li>Recomendaciones de cal basadas en datos de pH de muestras de suelo o <a href=\"https:\/\/geopard.tech\/es\/blog\/brrck2udr1-soiloptix-data-analysis-in-precision-agr\/\">esc\u00e1neres de suelo<\/a><\/li>\r\n\r\n\r\n\r\n<li>Subcampo (zonas o nivel de p\u00edxeles) <strong>mapas de ROI<\/strong>)<\/li>\r\n\r\n\r\n\r\n<li>Recomendaciones de fertilizaci\u00f3n con micro y macronutrientes basadas en datos de muestreo de suelo, potencial de campo, topograf\u00eda y rendimiento.<\/li>\r\n\r\n\r\n\r\n<li><a href=\"https:\/\/geopard.tech\/es\/agricultura-de-carbono\/\">Modelado del carbono<\/a><\/li>\r\n\r\n\r\n\r\n<li>Detecci\u00f3n y alerta de cambios (calcular la diferencia entre im\u00e1genes de Sentinel-2, Landsat 8-9 o Planet).<\/li>\r\n\r\n\r\n\r\n<li>Modelizaci\u00f3n de la humedad del suelo y de los granos<\/li>\r\n\r\n\r\n\r\n<li>C\u00e1lculo del rendimiento en seco a partir de conjuntos de datos de rendimiento en h\u00famedo.<\/li>\r\n\r\n\r\n\r\n<li>C\u00e1lculo de la diferencia entre el tratamiento objetivo y el tratamiento aplicado<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/lh6.googleusercontent.com\/S9ASOYQ8p5Kl0ypoAYHi9SOSvHdQVEfobTDr5MzLda20LlhseQJ-yP6npZrKG9Z0bMheGSD51rVO4bWOe_dvwip0ABR0pyrletctTwR_sFG-a6Pe67EqT3V82dXmoRiwRb0kqrIsnqXxBEJ9IGt2yAC_wESVcn0yXQfr_Xmz0x1co8fplQgdR-F9cw\" alt=\"Recomendaciones de potasio basadas en dos objetivos de rendimiento (zonas de productividad)\" width=\"864\" height=\"499\" \/><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-heading has-text-align-center\" style=\"text-align: center;\"><strong><em>Recomendaciones de potasio basadas en dos objetivos de rendimiento (zonas de productividad)<\/em><\/strong><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/lh6.googleusercontent.com\/CwtWL3lCUlFP3r2Df6xl7QHtu4WjwKOesvFvxApUUmXj_uhqxN51hdvmNnGq3dzhHywDVMnHoPr-xd4BIb7vEZRE04fL1IJyLcBRykIGW6hNMTgBu2VzmtHLuIUZ03SSIpq7bIquqBtNFCo-JtJaSzwKXmtazVS0gA8ZtBGzL7AbNpNE2i9bgDsmBw\" alt=\"Fertilizantes: Gu\u00eda de recomendaciones. Potasio \/ Ma\u00edz. \" width=\"814\" height=\"437\" \/><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-heading has-text-align-center\" style=\"text-align: center;\"><strong><em>Fertilizantes: Gu\u00eda de recomendaciones (Universidad Estatal de Dakota del Sur): Potasio \/ Ma\u00edz. Revisi\u00f3n y correcci\u00f3n: Jason Clark | Profesor adjunto y especialista en fertilidad del suelo de la Extensi\u00f3n de la SDSU.<\/em><\/strong><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/lh4.googleusercontent.com\/R35yIeirbkCDth8X4l3hgjIC441uWamnfMRXpG7XFDwk9B1gkUARx1QZDe8pe0DOQbl0BeOxxMJiYvT9eJ86mM537KukQSmMzR9ewxMg-8tq98zIh6T_v1IukYDTZH5EBm96CHHRsF9zGTEuHAE3f0qgKiNGppGQmEgkQwCFo125yFPM8o1RaJbXzw\" alt=\"Eficiencia de utilizaci\u00f3n del potasio en kg\/ha\" width=\"688\" height=\"397\" \/><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-heading has-text-align-center\" style=\"text-align: center;\"><strong><em>Eficiencia de utilizaci\u00f3n del potasio en kg\/ha<\/em><\/strong><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/lh4.googleusercontent.com\/UGrJfn-X5MRt0GAE5Yql31Se8jD9Llyimy3spvq45WcUHQJovnQLCLt4UIonKTIs1aBZc4ezqxOuxod4Yq4rT9yJI26BfVVX_vZLi1MTwWYBc6bUl_bQ_MGGcEhxOdd8EwaHXV8v3acAWfVNhCzYzd_74EU6hg0jBuckTlo6VViTeTXQJoXbLwvePg\" alt=\"Eficiencia en el uso del nitr\u00f3geno en porcentaje. El c\u00e1lculo se basa en las capas de datos de rendimiento, prote\u00edna y humedad del grano.\" width=\"864\" height=\"496\" \/><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-heading has-text-align-center\" style=\"text-align: center;\"><strong><em>Eficiencia en el uso del nitr\u00f3geno en porcentaje. El c\u00e1lculo se basa en las capas de datos de rendimiento, prote\u00edna y humedad del grano.<\/em><\/strong><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/lh5.googleusercontent.com\/ECaxW913XKaKjD4lWxRND4U6FZIPO7I0HpP7ZXYmbAqBQpSFCw2Zu0Fn-xha7MuuIjnlfqTw1ZX_Um5ZT45HznAHFzEfDmLcj5NY5kTaylTfm7QnI4Iky5_XRtowvbXfoP-GEIBppt4SKUEVi3yKg0vpuE74aIYY0GzTluQG1Xc7Vk-kuyrhJkATkQ\" alt=\"Nitr\u00f3geno: Tratamiento seg\u00fan dosis frente a aplicaci\u00f3n inmediata\" width=\"793\" height=\"458\" \/><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-heading has-text-align-center\" style=\"text-align: center;\"><strong><em>Nitr\u00f3geno: Tratamiento seg\u00fan dosis frente a aplicaci\u00f3n inmediata<\/em><\/strong><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/lh6.googleusercontent.com\/TrWMeO6MbH5auZ80g-A9xeuyfD9OfphrbwplHvO0TMjbV8UfIipZVtpQHeVAo2mGRDZQ8sHZU9iVe7jRr5wWYVEDXXQRWkfwzwgmP1pzoH5AlY9kBZdXBnDrZEmaPW1gTFoiufg8S8DTlNIMqiwJOngZaGXcJp17BrEJ2UUNKqGSVqJ8WQMeSlTu9w\" alt=\"Diferencia de clorofila entre dos im\u00e1genes satelitales\" width=\"864\" height=\"499\" \/><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-heading has-text-align-center\" style=\"text-align: center;\"><strong><em>Diferencia de clorofila entre dos im\u00e1genes satelitales<\/em><\/strong><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Un usuario de GeoPard puede ajustar los existentes y crear los suyos. <strong>f\u00f3rmulas privadas<\/strong> Basado en im\u00e1genes, suelo, rendimiento, topograf\u00eda o cualquier otra capa de datos compatible con GeoPard.\u00a0<\/p>\r\n\r\n\r\n\r\n<p class=\"has-text-align-center wp-block-paragraph\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/lh6.googleusercontent.com\/251VKzGe3zEjtsjuVTl3B3G-ViTC2tQo9fPWHBoQ-fshW1jAfifZcsXtZ2KJc5ImMLGWFL94V9ko-wy6aJQ7zSiqNiMkhl3Ab6BnGFDAiCLUFIAaKruVeEtmky_qLCptWjk8hY4Ogcx5QpO7Ph3VGfeMX4x0OCv4VFvMBGA8rkTiKNcVEOy983tu\" alt=\"Ejemplos de la plantilla de ecuaciones GeoPard\" width=\"329\" height=\"461\" \/><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-heading has-text-align-center\" style=\"text-align: center;\"><strong><em>Ejemplos de la plantilla de ecuaciones GeoPard<\/em><\/strong><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">El an\u00e1lisis basado en f\u00f3rmulas ayuda a los agricultores, agr\u00f3nomos y cient\u00edficos de datos a automatizar sus flujos de trabajo y a tomar decisiones basadas en m\u00faltiples datos e investigaciones cient\u00edficas para facilitar la implementaci\u00f3n de una agricultura sostenible y de precisi\u00f3n.<\/p>\r\n<h2>\u00bfQu\u00e9 es el an\u00e1lisis basado en ecuaciones en la agricultura de precisi\u00f3n? El uso de f\u00f3rmulas de precisi\u00f3n<\/h2>\r\n<p>El an\u00e1lisis basado en ecuaciones en la agricultura de precisi\u00f3n se refiere al uso de modelos matem\u00e1ticos, ecuaciones, f\u00f3rmulas de precisi\u00f3n y algoritmos para analizar datos agr\u00edcolas y obtener informaci\u00f3n que pueda ayudar a los agricultores a tomar mejores decisiones sobre la gesti\u00f3n de los cultivos.<\/p>\r\n<p>Estos m\u00e9todos anal\u00edticos incorporan diversos factores, como las condiciones clim\u00e1ticas, las propiedades del suelo, el crecimiento de los cultivos y las necesidades nutricionales, para optimizar las pr\u00e1cticas agr\u00edcolas y mejorar el rendimiento de los cultivos, al tiempo que se minimiza el desperdicio de recursos y el impacto ambiental.<\/p>\r\n<p>Algunos de los componentes clave del an\u00e1lisis basado en ecuaciones en la agricultura de precisi\u00f3n incluyen:<\/p>\r\n<ul>\r\n<li><strong>Modelos de crecimiento de cultivos:<\/strong> Estos modelos describen la relaci\u00f3n entre diversos factores, como el clima, las propiedades del suelo y las pr\u00e1cticas de manejo de cultivos, para predecir el crecimiento y el rendimiento de las cosechas. Algunos ejemplos de estos modelos son CERES (Crop Environment Resource Synthesis) y APSIM (Agricultural Production Systems sIMulator). Estos modelos pueden ayudar a los agricultores a tomar decisiones informadas sobre las fechas de siembra, las variedades de cultivos y la programaci\u00f3n del riego.<\/li>\r\n<li><strong>Modelos de humedad del suelo:<\/strong> Estos modelos estiman el contenido de agua en el perfil del suelo bas\u00e1ndose en factores como la precipitaci\u00f3n, la evaporaci\u00f3n y el consumo de agua de los cultivos. Pueden ayudar a los agricultores a optimizar las pr\u00e1cticas de riego, asegurando que el agua se aplique de manera eficiente y en el momento adecuado para maximizar el rendimiento de los cultivos.<\/li>\r\n<li><strong>Modelos de manejo de nutrientes:<\/strong> Estos modelos predicen las necesidades nutricionales de los cultivos y ayudan a los agricultores a determinar las dosis y el momento \u00f3ptimos para la aplicaci\u00f3n de fertilizantes. Mediante estos modelos, los agricultores pueden garantizar que los cultivos reciban la cantidad adecuada de nutrientes, minimizando al mismo tiempo el riesgo de lixiviaci\u00f3n de nutrientes y contaminaci\u00f3n ambiental.<\/li>\r\n<li><strong>Modelos de plagas y enfermedades:<\/strong> Estos modelos predicen la probabilidad de brotes de plagas y enfermedades bas\u00e1ndose en factores como las condiciones clim\u00e1ticas, las etapas de crecimiento de los cultivos y las pr\u00e1cticas de manejo. Mediante estos modelos, los agricultores pueden tomar decisiones proactivas sobre el manejo de plagas y enfermedades, como ajustar las fechas de siembra o aplicar pesticidas en el momento adecuado.<\/li>\r\n<li><strong>Modelos basados en teledetecci\u00f3n:<\/strong> Estos modelos utilizan im\u00e1genes satelitales y otros datos de teledetecci\u00f3n para monitorear la salud de los cultivos, detectar factores de estr\u00e9s y estimar el rendimiento. Al integrar esta informaci\u00f3n con otras fuentes de datos, los agricultores pueden tomar mejores decisiones sobre el manejo de los cultivos y optimizar el uso de los recursos.<\/li>\r\n<\/ul>\r\n<p>En resumen, el an\u00e1lisis basado en ecuaciones en la agricultura de precisi\u00f3n utiliza modelos matem\u00e1ticos y algoritmos para analizar las complejas interacciones entre diversos factores que afectan el crecimiento y la gesti\u00f3n de los cultivos. Al aprovechar estos an\u00e1lisis, los agricultores pueden tomar decisiones basadas en datos para optimizar las pr\u00e1cticas agr\u00edcolas, mejorar el rendimiento de los cultivos y minimizar el impacto ambiental.<\/p>\r\n<hr \/>\r\n<h2>Preguntas frecuentes<\/h2>\r\n<hr \/>\r\n<p><strong>1. \u00bfC\u00f3mo puede la agricultura de precisi\u00f3n ayudar a abordar los problemas de uso de recursos y contaminaci\u00f3n en la agricultura?<\/strong><\/p>\r\n<p>Puede ayudar a abordar los problemas de uso de recursos y contaminaci\u00f3n en la agricultura mediante la aplicaci\u00f3n selectiva de recursos, una gesti\u00f3n eficiente de los mismos, un monitoreo mejorado y la adopci\u00f3n de pr\u00e1cticas de conservaci\u00f3n. Al aplicar insumos como fertilizantes y pesticidas solo donde son necesarios, los agricultores pueden reducir el desperdicio y minimizar la contaminaci\u00f3n.<\/p>\r\n<p>La toma de decisiones basada en datos permite una gesti\u00f3n \u00f3ptima de los recursos, mientras que el monitoreo en tiempo real posibilita intervenciones oportunas para prevenir incidentes de contaminaci\u00f3n. Adem\u00e1s, la implementaci\u00f3n de pr\u00e1cticas de conservaci\u00f3n promueve la agricultura sostenible y reduce el impacto ambiental.<\/p>","protected":false},"excerpt":{"rendered":"<p>Con el lanzamiento del m\u00f3dulo de an\u00e1lisis basado en ecuaciones, el equipo de GeoPard ha dado un gran paso adelante para capacitar a agricultores, agr\u00f3nomos y analistas de datos espaciales\u2026<\/p>","protected":false},"author":210157960,"featured_media":5673,"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_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":[1657,1586,1372,1376,1378,1379,1368,1369],"tags":[1598],"class_list":["post-5661","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-precision-farming","category-product-features","category-blog","category-management-zones","category-remote-sensing","category-soil-data","category-yield","category-vra","tag-precision-agriculture"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - 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