{"id":14217,"date":"2024-09-14T19:19:46","date_gmt":"2024-09-14T19:19:46","guid":{"rendered":"https:\/\/dailyai.com\/?p=14217"},"modified":"2024-09-16T10:33:41","modified_gmt":"2024-09-16T10:33:41","slug":"ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/","title":{"rendered":"La IA abre una nueva era en el cultivo de la fresa, con implicaciones agr\u00edcolas m\u00e1s amplias"},"content":{"rendered":"

La IA podr\u00eda trabajar pronto junto a los humanos para cultivar la fresa perfecta.<\/b><\/p>\n

Investigadores de la Western University han desarrollado un sistema de inteligencia artificial que promete transformar el cultivo de una de las frutas favoritas del mundo, la fresa, con efectos potenciales en todo el sector agr\u00edcola.<\/span><\/p>\n

Y no, esto no est\u00e1 relacionado con OpenAI<\/span><\/span><\/span><\/span><\/span>modelo o1<\/a>antes llamado \"Proyecto Fresa\".<\/span><\/p>\n

En <\/span>estudiar<\/span><\/a>publicado en la revista Foods, muestra un notable avance de la tecnolog\u00eda agr\u00edcola.\u00a0<\/span><\/p>\n

Utilizando t\u00e9cnicas avanzadas de aprendizaje autom\u00e1tico, el equipo ha creado un sistema capaz de detectar la madurez y las enfermedades de las fresas con una precisi\u00f3n cercana al 99%, todo ello mediante un simple seguimiento con c\u00e1mara.<\/span><\/p>\n

\"Quer\u00edamos reducir el tama\u00f1o de estos modelos de IA para convertirlos en algo factible para los agricultores y la producci\u00f3n localizada\", explica Joshua Pearce, titular de la C\u00e1tedra John M. Thompson de Tecnolog\u00eda de la Informaci\u00f3n e Innovaci\u00f3n de Western Engineering y de la Escuela de Negocios Ivey.\u00a0<\/span><\/p>\n

\"No s\u00f3lo quer\u00edamos aumentar la precisi\u00f3n, que est\u00e1 por encima de 98%, sino tambi\u00e9n reducir el tama\u00f1o de los modelos\".<\/span><\/p>\n

Lo que distingue a esta investigaci\u00f3n es su inter\u00e9s por la accesibilidad. A diferencia de muchas soluciones agr\u00edcolas de alta tecnolog\u00eda destinadas a operaciones a gran escala, Pearce y su colega Soodeh Nikan dise\u00f1aron su sistema pensando en las explotaciones peque\u00f1as y medianas.<\/span><\/p>\n

La metodolog\u00eda del equipo combinaba t\u00e9cnicas innovadoras de IA con conocimientos pr\u00e1cticos de agricultura:<\/span><\/p>\n

    \n
  1. Empezaron por recopilar diversos conjuntos de im\u00e1genes de fresas, incluidas frutas sanas y otras afectadas por diversas enfermedades.<\/span><\/li>\n
  2. A continuaci\u00f3n, estas im\u00e1genes se procesaron y aumentaron para crear un s\u00f3lido conjunto de datos de entrenamiento.<\/span><\/li>\n
  3. Los investigadores perfeccionaron tres modelos de IA distintos -Vision Transformer, MobileNetV2 y ResNet18-, cada uno de los cuales aportaba sus puntos fuertes a la tarea.<\/span><\/li>\n
  4. Para garantizar que la IA pudiera manejar la variabilidad del mundo real, incorporaron t\u00e9cnicas como la ponderaci\u00f3n de clases y la generaci\u00f3n de im\u00e1genes sint\u00e9ticas.<\/span><\/li>\n
  5. Quiz\u00e1 lo m\u00e1s importante es que integraron \"mecanismos de atenci\u00f3n\" en los modelos, lo que permiti\u00f3 a la IA centrarse en las partes m\u00e1s relevantes de cada imagen.<\/span><\/li>\n<\/ol>\n

    El sistema destaca en dos tareas principales:<\/p>\n

      \n
    1. Detecci\u00f3n de la madurez<\/strong>: Puede clasificar con precisi\u00f3n las fresas como maduras o inmaduras, lo que ayuda a los agricultores a optimizar el momento de la cosecha.<\/li>\n
    2. Identificaci\u00f3n de enfermedades<\/strong>: La IA puede detectar e identificar siete tipos distintos de enfermedades de la fresa: mancha angular de la hoja, podredumbre antracnosis de la fruta, tiz\u00f3n de la flor, moho gris, mancha de la hoja, mildi\u00fa polvoroso de la fruta y mildi\u00fa polvoroso de la hoja.<\/li>\n<\/ol>\n

      Los resultados hablan por s\u00ed solos. Con unos \u00edndices de precisi\u00f3n que rondan los 98%, el sistema supera con creces los intentos anteriores de seguimiento automatizado de las fresas.<\/span><\/p>\n

      Sin embargo, las implicaciones de esta investigaci\u00f3n van mucho m\u00e1s all\u00e1 de la mera mejora del rendimiento de las fresas.\u00a0<\/span><\/p>\n

      El potencial para reducir el desperdicio de alimentos tambi\u00e9n es evidente. Seg\u00fan la Organizaci\u00f3n de las Naciones Unidas para la Agricultura y la Alimentaci\u00f3n, <\/span>aproximadamente 14%<\/span><\/a> de los alimentos producidos se pierde entre la cosecha y la venta al por menor.\u00a0<\/span><\/p>\n

      Tecnolog\u00edas como este sistema de IA podr\u00edan ayudar a resolver este problema optimizando el momento de la cosecha y reduciendo las p\u00e9rdidas por enfermedades o exceso de maduraci\u00f3n.<\/span><\/p>\n

      \"Reducir el despilfarro y el coste de los alimentos es, obviamente, un gran problema hoy en d\u00eda. Como todo el mundo, siempre me sorprendo cuando voy al supermercado y veo el precio de las frutas y verduras frescas\", dice Nikan.\u00a0<\/span><\/p>\n

      \"A la hora de elegir proyectos, suelo buscar algo que sea cr\u00edtico para la seguridad o una necesidad de la sociedad. Con mi experiencia en otras aplicaciones, no dej\u00e9 pasar la oportunidad de aplicar mis conocimientos y experiencia a la seguridad alimentaria.\"<\/span><\/p>\n

      De cara al futuro, el equipo ya est\u00e1 planeando probar su sistema en exteriores y utilizar drones para realizar un seguimiento m\u00e1s amplio sobre el terreno.\u00a0<\/span><\/p>\n

      Tambi\u00e9n est\u00e1n estudiando el uso de im\u00e1genes sint\u00e9ticas generadas por IA para reducir a\u00fan m\u00e1s los datos necesarios para entrenar modelos eficaces.<\/span><\/p>\n

      \"En lugar de tomar im\u00e1genes de millones de fresas, que es un m\u00e9todo de bajo rendimiento y alto coste, estamos utilizando im\u00e1genes sint\u00e9ticas y software de c\u00f3digo abierto para crear millones de im\u00e1genes nosotros mismos, con una potencia inform\u00e1tica relativamente baja, lo que ahora nos permite hacer observaciones muy detalladas sobre la madurez y las enfermedades de plantas muy concretas\", explica Nikan.<\/p>\n

      Pearce a\u00f1ade: \"El software es totalmente gratuito y de c\u00f3digo abierto, y los agricultores de cualquier tipo pueden descargarlo y adaptarlo a sus necesidades. Pueden preferir que el sistema de IA les env\u00ede un correo electr\u00f3nico o un ping a su tel\u00e9fono cuando detecte una enfermedad, o incluso que les reenv\u00ede una imagen de una planta concreta que est\u00e9 lista para recoger. El software est\u00e1 muy abierto para hacerlo propio\".<\/p>","protected":false},"excerpt":{"rendered":"

      La IA podr\u00eda trabajar pronto junto a los humanos para cultivar la fresa perfecta. Investigadores de la Western University han desarrollado un sistema de IA que promete transformar la forma de cultivar una de las frutas favoritas del mundo, la fresa, con posibles efectos domin\u00f3 en todo el sector agr\u00edcola. Y no, esto no est\u00e1 relacionado con el modelo o1 de OpenAI, antes llamado \"Proyecto Fresa\". El estudio, publicado en la revista Foods, muestra un notable salto adelante en la tecnolog\u00eda agr\u00edcola. Utilizando t\u00e9cnicas avanzadas de aprendizaje autom\u00e1tico, el equipo ha creado un sistema capaz de detectar la madurez y las enfermedades de las fresas con una precisi\u00f3n de casi 99%, todo ello a trav\u00e9s de un simple<\/p>","protected":false},"author":2,"featured_media":14218,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[307],"class_list":["post-14217","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-agriculture"],"yoast_head":"\nAI ushers in new era for strawberry farming, with broader agricultural implications | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/es\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI ushers in new era for strawberry farming, with broader agricultural implications | DailyAI\" \/>\n<meta property=\"og:description\" content=\"AI may soon work alongside humans to cultivate the perfect strawberry. Researchers at Western University have developed an AI system that promises to transform how we grow one of the world’s favorite fruits \u2013 the strawberry \u2013 with potential ripple effects across the entire agricultural sector. And no, this isn\u2019t related to OpenAI\u2019s o1 model, formerly codenamed \u201cProject Strawberry.\u201d The study, published in the journal Foods, showcases a remarkable leap forward in agricultural technology.\u00a0 Using advanced machine learning techniques, the team has created a system capable of detecting strawberry ripeness and diseases with nearly 99% accuracy \u2013 all through simple\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/es\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-09-14T19:19:46+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-16T10:33:41+00:00\" \/>\n<meta property=\"og:image\" 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