{"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\/da\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/","title":{"rendered":"AI indleder en ny \u00e6ra for jordb\u00e6rdyrkning med bredere konsekvenser for landbruget"},"content":{"rendered":"

AI kan snart arbejde sammen med mennesker om at dyrke det perfekte jordb\u00e6r.<\/b><\/p>\n

Forskere ved Western University har udviklet et AI-system, der lover at \u00e6ndre den m\u00e5de, vi dyrker en af verdens yndlingsfrugter p\u00e5 - jordb\u00e6rret - med potentielle afsmittende virkninger p\u00e5 hele landbrugssektoren.<\/span><\/p>\n

Og nej, det er ikke relateret til OpenAI<\/span><\/span><\/span><\/span><\/span>'s o1-model<\/a>som tidligere havde kodenavnet \"Project Strawberry\".<\/span><\/p>\n

Den <\/span>unders\u00f8gelse<\/span><\/a>som er offentliggjort i tidsskriftet Foods, viser et bem\u00e6rkelsesv\u00e6rdigt spring fremad inden for landbrugsteknologi.\u00a0<\/span><\/p>\n

Ved hj\u00e6lp af avancerede maskinl\u00e6ringsteknikker har teamet skabt et system, der er i stand til at opdage jordb\u00e6rs modenhed og sygdomme med n\u00e6sten 99% n\u00f8jagtighed - alt sammen gennem simpel kameraoverv\u00e5gning.<\/span><\/p>\n

\"Vi \u00f8nskede at reducere st\u00f8rrelsen p\u00e5 disse AI-modeller for at g\u00f8re det muligt for landm\u00e6nd og lokal produktion\", siger Joshua Pearce, John M. Thompson Chair in Information Technology and Innovation ved Western Engineering and Ivey Business School.\u00a0<\/span><\/p>\n

\"Vi ville ikke bare \u00f8ge n\u00f8jagtigheden, som er over 98%, men ogs\u00e5 reducere modellernes st\u00f8rrelse.\"<\/span><\/p>\n

Det, der adskiller denne forskning fra andre, er dens fokus p\u00e5 tilg\u00e6ngelighed. I mods\u00e6tning til mange h\u00f8jteknologiske landbrugsl\u00f8sninger, der henvender sig til store bedrifter, har Pearce og hans kollega Soodeh Nikan designet deres system med sm\u00e5 og mellemstore landbrug i tankerne.<\/span><\/p>\n

Teamets metode kombinerede innovative AI-teknikker med praktisk landbrugsviden:<\/span><\/p>\n

    \n
  1. De startede med at indsamle forskellige s\u00e6t af jordb\u00e6rbilleder, herunder sunde frugter og dem, der var ramt af forskellige sygdomme.<\/span><\/li>\n
  2. Disse billeder blev derefter behandlet og udvidet for at skabe et robust tr\u00e6ningsdatas\u00e6t.<\/span><\/li>\n
  3. Forskerne finjusterede tre forskellige AI-modeller - Vision Transformer, MobileNetV2 og ResNet18 - som hver is\u00e6r havde unikke styrker til opgaven.<\/span><\/li>\n
  4. For at sikre, at AI'en kunne h\u00e5ndtere variationer i den virkelige verden, indarbejdede de teknikker som klassev\u00e6gtning og generering af syntetiske billeder.<\/span><\/li>\n
  5. M\u00e5ske er det mest afg\u00f8rende, at de integrerede \"opm\u00e6rksomhedsmekanismer\" i modellerne, s\u00e5 den kunstige intelligens kunne fokusere p\u00e5 de mest relevante dele af hvert billede.<\/span><\/li>\n<\/ol>\n

    Systemet udm\u00e6rker sig ved to prim\u00e6re opgaver:<\/p>\n

      \n
    1. Registrering af modenhed<\/strong>: Den kan n\u00f8jagtigt klassificere jordb\u00e6r som modne eller umodne og hj\u00e6lpe landm\u00e6nd med at optimere h\u00f8sttidspunktet.<\/li>\n
    2. Identifikation af sygdomme<\/strong>: AI'en kan opdage og identificere syv forskellige typer jordb\u00e6rsygdomme: kantet bladplet, antracnose-frugtr\u00e5d, blomstersyge, gr\u00e5skimmel, bladplet, meldug p\u00e5 frugt og meldug p\u00e5 blad.<\/li>\n<\/ol>\n

      Resultaterne taler for sig selv. Med en n\u00f8jagtighed p\u00e5 omkring 98% overg\u00e5r systemet tidligere fors\u00f8g p\u00e5 automatiseret overv\u00e5gning af jordb\u00e6r med en stor margin.<\/span><\/p>\n

      Men konsekvenserne af denne forskning r\u00e6kker langt ud over blot at forbedre udbyttet af jordb\u00e6r.\u00a0<\/span><\/p>\n

      Potentialet for at reducere madspild er ogs\u00e5 tydeligt. If\u00f8lge FN's f\u00f8devare- og landbrugsorganisation, <\/span>cirka 14%<\/span><\/a> af de producerede f\u00f8devarer g\u00e5r tabt mellem h\u00f8st og detailhandel.\u00a0<\/span><\/p>\n

      Teknologier som dette AI-system kan hj\u00e6lpe med at l\u00f8se dette problem ved at optimere h\u00f8sttidspunktet og reducere tab p\u00e5 grund af sygdom eller overmodenhed.<\/span><\/p>\n

      \"At reducere spild og prisen p\u00e5 f\u00f8devarer er tydeligvis et stort emne i dag. Som alle andre bliver jeg altid overrasket, n\u00e5r jeg g\u00e5r i supermarkedet og ser prisen p\u00e5 frisk frugt og gr\u00f8nt,\" siger Nikan.\u00a0<\/span><\/p>\n

      \"N\u00e5r jeg v\u00e6lger projekter, kigger jeg normalt efter noget, der er sikkerhedskritisk eller et samfundsm\u00e6ssigt behov. Med min erfaring inden for andre omr\u00e5der greb jeg chancen for at anvende min viden og ekspertise p\u00e5 f\u00f8devaresikkerhed.\"<\/span><\/p>\n

      Fremadrettet planl\u00e6gger teamet allerede at teste deres system i udend\u00f8rs omgivelser og potentielt bruge droner til bredere feltoverv\u00e5gning.\u00a0<\/span><\/p>\n

      De unders\u00f8ger ogs\u00e5 brugen af AI-genererede syntetiske billeder for yderligere at reducere datakravene til tr\u00e6ning af effektive modeller.<\/span><\/p>\n

      \"I stedet for at tage billeder af millioner af jordb\u00e6r, hvilket er en ineffektiv og dyr metode, bruger vi syntetiske billeder og open source-software til selv at skabe millioner af billeder med relativt lav computerkraft, hvilket nu g\u00f8r det muligt for os at foretage meget detaljerede observationer af modenhed og sygdom for meget specifikke planter\", siger Nikan.<\/p>\n

      Pearce tilf\u00f8jer: \"Softwaren er helt gratis og open source, og landm\u00e6nd af enhver type kan frit downloade den og derefter tilpasse den til deres behov. De foretr\u00e6kker m\u00e5ske at f\u00e5 AI-systemet til at sende dem en e-mail eller pinge deres telefon, n\u00e5r de opdager en sygdom, eller endda videresende et billede af en bestemt plante, der er klar til at blive plukket. Softwaren er helt \u00e5ben, s\u00e5 man kan g\u00f8re den til sin egen.\"<\/p>","protected":false},"excerpt":{"rendered":"

      AI kan snart arbejde sammen med mennesker om at dyrke det perfekte jordb\u00e6r. Forskere ved Western University har udviklet et AI-system, der lover at \u00e6ndre den m\u00e5de, vi dyrker en af verdens yndlingsfrugter p\u00e5 - jordb\u00e6rret - med potentielle afsmittende virkninger p\u00e5 hele landbrugssektoren. Og nej, det er ikke relateret til OpenAI's o1-model, der tidligere havde kodenavnet \"Project Strawberry\". Unders\u00f8gelsen, der er offentliggjort i tidsskriftet Foods, viser et bem\u00e6rkelsesv\u00e6rdigt spring fremad inden for landbrugsteknologi. Ved hj\u00e6lp af avancerede maskinl\u00e6ringsteknikker har teamet skabt et system, der er i stand til at registrere jordb\u00e6rs modenhed og sygdomme med n\u00e6sten 99% n\u00f8jagtighed - alt sammen ved hj\u00e6lp af 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\/da\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\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\/da\/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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