{"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\/pt\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/","title":{"rendered":"A IA inaugura uma nova era para a cultura do morango, com implica\u00e7\u00f5es agr\u00edcolas mais vastas"},"content":{"rendered":"

A IA poder\u00e1 em breve trabalhar ao lado dos humanos para cultivar o morango perfeito.<\/b><\/p>\n

Os investigadores da Western University desenvolveram um sistema de IA que promete transformar a forma como cultivamos um dos frutos preferidos do mundo - o morango - com potenciais efeitos em cadeia em todo o sector agr\u00edcola.<\/span><\/p>\n

E n\u00e3o, isto n\u00e3o est\u00e1 relacionado com OpenAI<\/span><\/span><\/span><\/span><\/span>modelo o1 do 's<\/a>, anteriormente com o nome de c\u00f3digo \"Projeto Strawberry\".<\/span><\/p>\n

O <\/span>estudo<\/span><\/a>publicado na revista Foods, mostra um not\u00e1vel salto em frente na tecnologia agr\u00edcola.\u00a0<\/span><\/p>\n

Utilizando t\u00e9cnicas avan\u00e7adas de aprendizagem autom\u00e1tica, a equipa criou um sistema capaz de detetar o estado de matura\u00e7\u00e3o e as doen\u00e7as dos morangos com uma precis\u00e3o de quase 99% - tudo atrav\u00e9s de uma simples monitoriza\u00e7\u00e3o por c\u00e2mara.<\/span><\/p>\n

\"Quer\u00edamos reduzir o tamanho desses modelos de IA para torn\u00e1-los algo vi\u00e1vel para os agricultores e a produ\u00e7\u00e3o localizada\", disse Joshua Pearce, presidente da cadeira John M. Thompson em Tecnologia da Informa\u00e7\u00e3o e Inova\u00e7\u00e3o na Western Engineering e na Ivey Business School.\u00a0<\/span><\/p>\n

\"N\u00e3o quer\u00edamos apenas aumentar a precis\u00e3o, que \u00e9 superior a 98%, mas tamb\u00e9m reduzir o tamanho dos modelos.\"<\/span><\/p>\n

O que distingue esta investiga\u00e7\u00e3o \u00e9 o seu enfoque na acessibilidade. Ao contr\u00e1rio de muitas solu\u00e7\u00f5es agr\u00edcolas de alta tecnologia que se destinam a opera\u00e7\u00f5es em grande escala, Pearce e o seu colega Soodeh Nikan conceberam o seu sistema a pensar nas pequenas e m\u00e9dias explora\u00e7\u00f5es agr\u00edcolas.<\/span><\/p>\n

A metodologia da equipa combinou t\u00e9cnicas inovadoras de IA com conhecimentos pr\u00e1ticos de agricultura:<\/span><\/p>\n

    \n
  1. Come\u00e7aram por recolher diversos conjuntos de imagens de morangos, incluindo frutos saud\u00e1veis e frutos afectados por v\u00e1rias doen\u00e7as.<\/span><\/li>\n
  2. Estas imagens foram depois processadas e aumentadas para criar um conjunto de dados de treino robusto.<\/span><\/li>\n
  3. Os investigadores afinaram tr\u00eas modelos de IA diferentes - Vision Transformer, MobileNetV2 e ResNet18 - cada um deles com carater\u00edsticas \u00fanicas para a tarefa.<\/span><\/li>\n
  4. Para garantir que a IA conseguia lidar com a variabilidade do mundo real, incorporaram t\u00e9cnicas como a pondera\u00e7\u00e3o de classes e a gera\u00e7\u00e3o de imagens sint\u00e9ticas.<\/span><\/li>\n
  5. Talvez o mais importante seja o facto de terem integrado \"mecanismos de aten\u00e7\u00e3o\" nos modelos, permitindo que a IA se concentre nas partes mais relevantes de cada imagem.<\/span><\/li>\n<\/ol>\n

    O sistema destaca-se em duas tarefas principais:<\/p>\n

      \n
    1. Dete\u00e7\u00e3o de matura\u00e7\u00e3o<\/strong>: Pode classificar com precis\u00e3o os morangos como maduros ou n\u00e3o maduros, ajudando os agricultores a otimizar o momento da colheita.<\/li>\n
    2. Identifica\u00e7\u00e3o da doen\u00e7a<\/strong>: A IA pode detetar e identificar sete tipos distintos de doen\u00e7as do morangueiro: mancha angular da folha, podrid\u00e3o da fruta antracnose, m\u00edldio da flor, bolor cinzento, mancha da folha, o\u00eddio da fruta e o\u00eddio da folha.<\/li>\n<\/ol>\n

      Os resultados falam por si. Com taxas de precis\u00e3o a rondar os 98%, o sistema supera por larga margem as tentativas anteriores de monitoriza\u00e7\u00e3o autom\u00e1tica de morangos.<\/span><\/p>\n

      No entanto, as implica\u00e7\u00f5es desta investiga\u00e7\u00e3o v\u00e3o muito para al\u00e9m da simples melhoria da produ\u00e7\u00e3o de morangos.\u00a0<\/span><\/p>\n

      O potencial de redu\u00e7\u00e3o do desperd\u00edcio alimentar \u00e9 tamb\u00e9m evidente. De acordo com a Organiza\u00e7\u00e3o das Na\u00e7\u00f5es Unidas para a Alimenta\u00e7\u00e3o e a Agricultura, <\/span>aproximadamente 14%<\/span><\/a> dos alimentos produzidos perde-se entre a colheita e a venda a retalho.\u00a0<\/span><\/p>\n

      Tecnologias como este sistema de IA poderiam ajudar a resolver este problema, optimizando o momento da colheita e reduzindo as perdas devidas a doen\u00e7as ou ao excesso de matura\u00e7\u00e3o.<\/span><\/p>\n

      \"Reduzir o desperd\u00edcio e o custo dos alimentos \u00e9 obviamente uma quest\u00e3o importante nos dias de hoje. Como toda a gente, fico sempre surpreendido quando vou \u00e0 mercearia e vejo o pre\u00e7o dos frutos e legumes frescos\", disse Nikan.\u00a0<\/span><\/p>\n

      \"Quando escolho projectos, procuro normalmente algo que seja cr\u00edtico para a seguran\u00e7a ou uma necessidade social. Com a minha experi\u00eancia noutras aplica\u00e7\u00f5es, aproveitei a oportunidade para aplicar os meus conhecimentos e experi\u00eancia \u00e0 seguran\u00e7a alimentar.\"<\/span><\/p>\n

      Olhando para o futuro, a equipa j\u00e1 est\u00e1 a planear testar o seu sistema em ambientes exteriores, utilizando potencialmente drones para uma monitoriza\u00e7\u00e3o de campo mais ampla.\u00a0<\/span><\/p>\n

      Est\u00e3o tamb\u00e9m a explorar a utiliza\u00e7\u00e3o de imagens sint\u00e9ticas geradas por IA para reduzir ainda mais os requisitos de dados para treinar modelos eficazes.<\/span><\/p>\n

      \"Em vez de tirarmos imagens de milh\u00f5es de morangos, que \u00e9 uma abordagem de baixa efici\u00eancia e de alto custo, estamos a utilizar imagens sint\u00e9ticas e software de c\u00f3digo aberto para criarmos milh\u00f5es de imagens, com uma pot\u00eancia inform\u00e1tica relativamente baixa, o que nos permite agora fazer observa\u00e7\u00f5es altamente granulares sobre a matura\u00e7\u00e3o e as doen\u00e7as de plantas muito espec\u00edficas\", disse Nikan.<\/p>\n

      Pearce acrescentou: \"O software \u00e9 totalmente gratuito e de c\u00f3digo aberto e os agricultores de qualquer tipo podem descarreg\u00e1-lo e adapt\u00e1-lo \u00e0s suas necessidades. Podem preferir que o sistema de IA lhes envie um e-mail ou um ping para o telefone quando detecta uma doen\u00e7a ou at\u00e9 mesmo encaminhar uma imagem de uma planta espec\u00edfica que est\u00e1 pronta para ser colhida. O software \u00e9 muito aberto para o tornar seu\".<\/p>","protected":false},"excerpt":{"rendered":"

      A IA poder\u00e1 em breve trabalhar ao lado dos humanos para cultivar o morango perfeito. Os investigadores da Western University desenvolveram um sistema de IA que promete transformar a forma como cultivamos um dos frutos favoritos do mundo - o morango - com potenciais efeitos em cadeia em todo o sector agr\u00edcola. E n\u00e3o, isto n\u00e3o est\u00e1 relacionado com o modelo o1 da OpenAI, anteriormente com o nome de c\u00f3digo \"Project Strawberry\". O estudo, publicado na revista Foods, mostra um not\u00e1vel salto em frente na tecnologia agr\u00edcola. Utilizando t\u00e9cnicas avan\u00e7adas de aprendizagem autom\u00e1tica, a equipa criou um sistema capaz de detetar o estado de matura\u00e7\u00e3o e as doen\u00e7as dos morangos com uma precis\u00e3o de quase 99% - tudo isto atrav\u00e9s de simples<\/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\/pt\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\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\/pt\/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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