{"id":135275,"date":"2026-08-13T10:52:48","date_gmt":"2026-08-13T14:52:48","guid":{"rendered":"https:\/\/www.agribusinessglobal.com\/?p=135275"},"modified":"2026-08-13T10:52:48","modified_gmt":"2026-08-13T14:52:48","slug":"ag-tech-talk-podcast-smart-seeding-and-the-future-of-ai-on-the-farm","status":"publish","type":"post","link":"https:\/\/www.agribusinessglobal.com\/es\/agtech\/ag-tech-talk-podcast-smart-seeding-and-the-future-of-ai-on-the-farm\/","title":{"rendered":"Podcast Ag Tech Talk: Siembra inteligente y el futuro de la IA en la agricultura."},"content":{"rendered":"<p>En este episodio de Ag Tech Talk, exploramos c\u00f3mo la inteligencia artificial y el aprendizaje autom\u00e1tico est\u00e1n ayudando a transformar la agronom\u00eda de precisi\u00f3n con la Dra. Jasmine Neupane, profesora asistente de <a href=\"https:\/\/majors.missouri.edu\/agricultural-systems-technology-bs\/\" target=\"_blank\" rel=\"noopener\">Tecnolog\u00eda de Sistemas Agr\u00edcolas en la Universidad de Missouri<\/a>. La investigaci\u00f3n del Dr. Neupane se centra en la integraci\u00f3n de tecnolog\u00edas agr\u00edcolas digitales, incluidos sensores, teledetecci\u00f3n y an\u00e1lisis de datos, para ayudar a los agricultores y a los distribuidores agr\u00edcolas a tomar decisiones m\u00e1s informadas y espec\u00edficas para cada campo, que mejoren la productividad, la rentabilidad y la sostenibilidad.<br \/>\n<iframe loading=\"lazy\" style=\"border: none; min-width: min(100%, 430px); height: 150px;\" title=\"Siembra inteligente y el futuro de la IA en la agricultura.\" src=\"https:\/\/www.podbean.com\/player-v2\/?i=fsni6-1b35589-pb&amp;from=pb6admin&amp;share=1&amp;download=1&amp;rtl=0&amp;fonts=Arial&amp;skin=1&amp;font-color=auto&amp;logo_link=episode_page&amp;btn-skin=7\" width=\"100%\" height=\"150\" scrolling=\"no\" data-name=\"pb-iframe-player\"><\/iframe><\/p>\n<p>Su investigaci\u00f3n m\u00e1s reciente examina c\u00f3mo se puede utilizar el aprendizaje autom\u00e1tico para optimizar las estrategias de siembra de tasa variable en la producci\u00f3n de ma\u00edz y soja mediante el an\u00e1lisis de datos complejos a nivel de campo, incluyendo caracter\u00edsticas del suelo, topograf\u00eda, patrones clim\u00e1ticos e informaci\u00f3n hist\u00f3rica sobre el rendimiento. En esta conversaci\u00f3n, la Dra. Neupane explica c\u00f3mo la IA puede servir como una herramienta m\u00e1s para el agricultor, ayud\u00e1ndolo a ir m\u00e1s all\u00e1 de los enfoques de manejo tradicionales y a tomar decisiones m\u00e1s precisas basadas en datos.<\/p>\n<p><a href=\"https:\/\/podcasts.apple.com\/us\/podcast\/ag-tech-talk\/id1671193060\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-64672 size-full\" src=\"https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2023\/02\/apple-50px.png\" alt=\"Ag Tech Talk Podcast\" width=\"196\" height=\"50\" \/><\/a> <a href=\"https:\/\/open.spotify.com\/episode\/3Qe15QQTZWINEUrjwG5Eb3?si=5d604a40a87e4f08\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-80609\" src=\"https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-300x124.png\" alt=\"\" width=\"141\" height=\"58\" srcset=\"https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-300x124.png 300w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-1024x422.png 1024w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-768x316.png 768w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-18x7.png 18w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-320x132.png 320w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-480x198.png 480w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-800x329.png 800w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-330x136.png 330w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-128x53.png 128w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-640x263.png 640w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-85x35.png 85w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo-150x62.png 150w, https:\/\/d6kq167ddwbdq.cloudfront.net\/farmchemint\/wp-content\/uploads\/2025\/06\/listen-on-spotify-logo.png 1200w\" sizes=\"auto, (max-width: 141px) 100vw, 141px\" \/><\/a><\/p>\n<h2>Transcripci\u00f3n del podcast:<\/h2>\n<p><em>*Esta es una transcripci\u00f3n editada y parcial.<\/em><\/p>\n<p><strong>AgriBusiness Global: Su investigaci\u00f3n arroj\u00f3 mejores resultados en el ma\u00edz que en la soja. \u00bfPor qu\u00e9 el manejo de la soja suele ser m\u00e1s complejo para los modelos de IA y qu\u00e9 nos indica esto sobre el cultivo?<\/strong><\/p>\n<p><strong>Dra. Jasmine Neupane:<\/strong> Los modelos de IA funcionan identificando patrones en los datos, pero la soja es un cultivo muy adaptable que responde de manera diferente a las condiciones ambientales cambiantes, como el clima, las propiedades del suelo y las densidades de siembra. Si bien esta adaptabilidad es beneficiosa desde el punto de vista de la producci\u00f3n, puede dificultar que los modelos de aprendizaje autom\u00e1tico identifiquen patrones consistentes. En comparaci\u00f3n, el ma\u00edz mostr\u00f3 relaciones m\u00e1s claras entre las densidades de siembra y los resultados de rendimiento, lo que permiti\u00f3 a los modelos de IA realizar predicciones m\u00e1s precisas. El Dr. Neupane se\u00f1al\u00f3 que la gesti\u00f3n de la soja podr\u00eda requerir conjuntos de datos m\u00e1s amplios y robustos para mejorar la precisi\u00f3n y las recomendaciones de los modelos de IA.<\/p>\n<p><strong>ABG: \u00bfLe sorprendieron las diferencias entre los resultados del ma\u00edz y la soja?<\/strong><\/p>\n<p><strong>JN:<\/strong> Las diferencias eran, en cierta medida, previsibles, pero el nivel de variaci\u00f3n entre ambos cultivos fue notable. La investigaci\u00f3n demostr\u00f3 que la densidad de siembra tuvo un impacto particularmente significativo en el rendimiento del ma\u00edz, mientras que el desempe\u00f1o de la soja se vio m\u00e1s influenciado por otras caracter\u00edsticas del terreno, como la materia org\u00e1nica y las diferencias de altitud. Los resultados demuestran la importancia de considerar las caracter\u00edsticas \u00fanicas de cada cultivo al desarrollar herramientas agron\u00f3micas basadas en inteligencia artificial.<\/p>","protected":false},"excerpt":{"rendered":"<p>Discover how AI and machine learning are transforming precision agronomy, helping farmers make smarter, field-specific decisions for productivity and sustainability.<\/p>","protected":false},"author":1367,"featured_media":135276,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":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},"jetpack_post_was_ever_published":false},"categories":[1917,1604,1848,1886],"tags":[54],"class_list":["post-135275","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-abg-update-feature","category-agtech","category-executive-outlook","category-podcast","tag-featured-home"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Ag Tech Talk Podcast: Smart Seeding and the Future of AI on the Farm - 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