{"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\/it\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/","title":{"rendered":"L'intelligenza artificiale inaugura una nuova era per la coltivazione delle fragole, con implicazioni agricole pi\u00f9 ampie"},"content":{"rendered":"

L'intelligenza artificiale potrebbe presto lavorare a fianco degli esseri umani per coltivare la fragola perfetta.<\/b><\/p>\n

I ricercatori della Western University hanno sviluppato un sistema di intelligenza artificiale che promette di trasformare il modo in cui coltiviamo uno dei frutti preferiti al mondo, la fragola, con potenziali effetti a catena sull'intero settore agricolo.<\/span><\/p>\n

E no, questo non \u00e8 legato a OpenAI<\/span><\/span><\/span><\/span><\/span>modello o1<\/a>, precedentemente chiamato in codice \"Progetto Fragola\".<\/span><\/p>\n

Il <\/span>studio<\/span><\/a>pubblicato sulla rivista Foods, mostra un notevole balzo in avanti nella tecnologia agricola.\u00a0<\/span><\/p>\n

Utilizzando tecniche avanzate di apprendimento automatico, il team ha creato un sistema in grado di rilevare il grado di maturazione e le malattie delle fragole con una precisione di quasi 99%, il tutto attraverso il semplice monitoraggio di una telecamera.<\/span><\/p>\n

\"Volevamo ridurre le dimensioni di questi modelli di intelligenza artificiale per renderli fattibili per gli agricoltori e la produzione localizzata\", ha dichiarato Joshua Pearce, titolare della cattedra John M. Thompson in Tecnologia dell'informazione e innovazione presso la Western Engineering e la Ivey Business School.\u00a0<\/span><\/p>\n

\"Non volevamo solo aumentare la precisione, che \u00e8 superiore a 98%, ma anche ridurre le dimensioni dei modelli\".<\/span><\/p>\n

Ci\u00f2 che distingue questa ricerca \u00e8 la sua attenzione all'accessibilit\u00e0. A differenza di molte soluzioni agricole high-tech che si rivolgono a operazioni su larga scala, Pearce e il suo collega Soodeh Nikan hanno progettato il loro sistema pensando alle aziende agricole di piccole e medie dimensioni.<\/span><\/p>\n

La metodologia del team ha combinato tecniche innovative di IA con conoscenze agricole pratiche:<\/span><\/p>\n

    \n
  1. Hanno iniziato raccogliendo diverse serie di immagini di fragole, compresi i frutti sani e quelli affetti da varie malattie.<\/span><\/li>\n
  2. Queste immagini sono state poi elaborate e aumentate per creare un robusto set di dati di addestramento.<\/span><\/li>\n
  3. I ricercatori hanno messo a punto tre diversi modelli di intelligenza artificiale - Vision Transformer, MobileNetV2 e ResNet18 - ognuno dei quali ha apportato punti di forza unici al compito.<\/span><\/li>\n
  4. Per garantire che l'intelligenza artificiale possa gestire la variabilit\u00e0 del mondo reale, sono state incorporate tecniche come la ponderazione delle classi e la generazione di immagini sintetiche.<\/span><\/li>\n
  5. L'aspetto forse pi\u00f9 cruciale \u00e8 che hanno integrato i \"meccanismi di attenzione\" nei modelli, consentendo all'intelligenza artificiale di concentrarsi sulle parti pi\u00f9 rilevanti di ogni immagine.<\/span><\/li>\n<\/ol>\n

    Il sistema \u00e8 in grado di svolgere due compiti principali:<\/p>\n

      \n
    1. Rilevamento della maturit\u00e0<\/strong>: \u00c8 in grado di classificare con precisione le fragole come mature o acerbe, aiutando gli agricoltori a ottimizzare i tempi di raccolta.<\/li>\n
    2. Identificazione della malattia<\/strong>: L'intelligenza artificiale \u00e8 in grado di rilevare e identificare sette tipi distinti di malattie della fragola: macchia fogliare angolare, marciume della frutta da antracnosi, peronospora, muffa grigia, macchia fogliare, oidio della frutta e oidio della foglia.<\/li>\n<\/ol>\n

      I risultati parlano da soli. Con tassi di accuratezza intorno a 98%, il sistema supera di gran lunga i precedenti tentativi di monitoraggio automatico delle fragole.<\/span><\/p>\n

      Tuttavia, le implicazioni di questa ricerca vanno ben oltre il semplice miglioramento della resa delle fragole.\u00a0<\/span><\/p>\n

      Il potenziale di riduzione degli sprechi alimentari \u00e8 altrettanto evidente. Secondo l'Organizzazione delle Nazioni Unite per l'alimentazione e l'agricoltura, <\/span>circa 14%<\/span><\/a> di cibo prodotto va perso tra il raccolto e la vendita al dettaglio.\u00a0<\/span><\/p>\n

      Tecnologie come questo sistema di intelligenza artificiale potrebbero aiutare a risolvere questo problema, ottimizzando i tempi di raccolta e riducendo le perdite dovute a malattie o eccessiva maturazione.<\/span><\/p>\n

      \"Ridurre gli sprechi e il costo del cibo \u00e8 ovviamente un tema importante al giorno d'oggi. Come tutti, sono sempre sorpreso quando vado al supermercato e vedo il prezzo di frutta e verdura fresca\", ha detto Nikan.\u00a0<\/span><\/p>\n

      \"Quando scelgo i progetti, di solito cerco qualcosa che sia critico per la sicurezza o che rappresenti un'esigenza della societ\u00e0. Grazie alla mia esperienza in altre applicazioni, ho colto al volo la possibilit\u00e0 di applicare le mie conoscenze e competenze alla sicurezza alimentare\".<\/span><\/p>\n

      In prospettiva, il team sta gi\u00e0 pianificando di testare il sistema in ambienti esterni, utilizzando potenzialmente i droni per un monitoraggio pi\u00f9 ampio del campo.\u00a0<\/span><\/p>\n

      Si sta anche esplorando l'uso di immagini sintetiche generate dall'IA per ridurre ulteriormente i requisiti di dati per l'addestramento di modelli efficaci.<\/span><\/p>\n

      \"Invece di scattare immagini di milioni di fragole, che \u00e8 un approccio a bassa efficienza e ad alto costo, stiamo usando immagini sintetiche e un software open-source per creare noi stessi milioni di immagini, con una potenza informatica relativamente bassa, che ora ci permette di individuare osservazioni altamente granulari sulla maturazione e sulle malattie per piante molto specifiche\", ha detto Nikan.<\/p>\n

      Pearce ha aggiunto: \"Il software \u00e8 completamente gratuito e open-source e gli agricoltori di qualsiasi tipo sono liberi di scaricarlo e adattarlo alle loro esigenze. Potrebbero preferire che il sistema di intelligenza artificiale invii loro un'e-mail o un ping sul telefono quando rileva una malattia o anche che inoltri un'immagine di una specifica pianta pronta per la raccolta. Il software \u00e8 aperto a qualsiasi tipo di personalizzazione\".<\/p>","protected":false},"excerpt":{"rendered":"

      L'intelligenza artificiale potrebbe presto affiancare l'uomo nella coltivazione della fragola perfetta. I ricercatori della Western University hanno sviluppato un sistema di intelligenza artificiale che promette di trasformare il modo in cui coltiviamo uno dei frutti preferiti al mondo, la fragola, con potenziali effetti a catena sull'intero settore agricolo. E no, questo non \u00e8 legato al modello o1 di OpenAI, precedentemente chiamato in codice \"Project Strawberry\". Lo studio, pubblicato sulla rivista Foods, mostra un notevole balzo in avanti nella tecnologia agricola. Utilizzando tecniche avanzate di apprendimento automatico, il team ha creato un sistema in grado di rilevare il grado di maturazione e le malattie delle fragole con un'accuratezza di quasi 99% - il tutto attraverso semplici<\/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\/it\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\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. 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