{"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\/nb\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/","title":{"rendered":"Kunstig intelligens innleder en ny \u00e6ra for jordb\u00e6rdyrking, med konsekvenser for landbruket i et bredere perspektiv"},"content":{"rendered":"

Snart kan kunstig intelligens jobbe sammen med mennesker for \u00e5 dyrke frem det perfekte jordb\u00e6ret.<\/b><\/p>\n

Forskere ved Western University har utviklet et AI-system som kan forandre hvordan vi dyrker en av verdens favorittfrukter - jordb\u00e6ret - med potensielle ringvirkninger for hele landbrukssektoren.<\/span><\/p>\n

Og nei, dette er ikke relatert til OpenAI<\/span><\/span><\/span><\/span><\/span>'s o1-modell<\/a>tidligere kodenavnet \"Project Strawberry\".<\/span><\/p>\n

Den <\/span>studie<\/span><\/a>som er publisert i tidsskriftet Foods, viser et bemerkelsesverdig sprang fremover innen jordbruksteknologi.\u00a0<\/span><\/p>\n

Ved hjelp av avanserte maskinl\u00e6ringsteknikker har teamet skapt et system som kan oppdage modenhet og sykdommer i jordb\u00e6r med nesten 99% n\u00f8yaktighet - alt gjennom enkel kameraoverv\u00e5king.<\/span><\/p>\n

\"Vi \u00f8nsket \u00e5 redusere st\u00f8rrelsen p\u00e5 disse AI-modellene for \u00e5 gj\u00f8re dem gjennomf\u00f8rbare for b\u00f8nder og lokal produksjon\", sier Joshua Pearce, John M. Thompson Chair in Information Technology and Innovation ved Western Engineering and Ivey Business School.\u00a0<\/span><\/p>\n

\"Vi \u00f8nsket ikke bare \u00e5 \u00f8ke n\u00f8yaktigheten, som er over 98%, men ogs\u00e5 \u00e5 redusere st\u00f8rrelsen p\u00e5 modellene.\"<\/span><\/p>\n

Det som skiller denne forskningen fra andre, er fokuset p\u00e5 tilgjengelighet. I motsetning til mange h\u00f8yteknologiske landbruksl\u00f8sninger som er rettet mot stordrift, har Pearce og hans kollega Soodeh Nikan utviklet systemet med tanke p\u00e5 sm\u00e5 og mellomstore g\u00e5rder.<\/span><\/p>\n

Teamets metodikk kombinerte innovative AI-teknikker med praktisk landbrukskunnskap:<\/span><\/p>\n

    \n
  1. De startet med \u00e5 samle inn ulike sett med bilder av jordb\u00e6r, inkludert friske frukter og de som var rammet av ulike sykdommer.<\/span><\/li>\n
  2. Disse bildene ble deretter behandlet og utvidet for \u00e5 skape et robust treningsdatasett.<\/span><\/li>\n
  3. Forskerne finjusterte tre ulike AI-modeller - Vision Transformer, MobileNetV2 og ResNet18 - som hver for seg har sine unike styrker.<\/span><\/li>\n
  4. For \u00e5 sikre at den kunstige intelligensen kunne h\u00e5ndtere variasjoner i den virkelige verden, tok de i bruk teknikker som klassevekting og generering av syntetiske bilder.<\/span><\/li>\n
  5. Det kanskje mest avgj\u00f8rende var at de integrerte \"oppmerksomhetsmekanismer\" i modellene, slik at den kunstige intelligensen kunne fokusere p\u00e5 de mest relevante delene av hvert bilde.<\/span><\/li>\n<\/ol>\n

    Systemet utmerker seg med to hovedoppgaver:<\/p>\n

      \n
    1. Deteksjon av modenhet<\/strong>: Den kan klassifisere jordb\u00e6r som modne eller umodne, noe som hjelper b\u00f8ndene med \u00e5 optimalisere h\u00f8stetidspunktet.<\/li>\n
    2. Identifisering av sykdommer<\/strong>: AI-en kan oppdage og identifisere sju forskjellige typer jordb\u00e6rsykdommer: kantete bladflekker, antraknose, fruktr\u00e5te, blomsterr\u00e5te, gr\u00e5skimmel, bladflekker, meldugg p\u00e5 frukt og meldugg p\u00e5 blad.<\/li>\n<\/ol>\n

      Resultatene taler for seg selv. Med en n\u00f8yaktighetsgrad p\u00e5 rundt 98% overg\u00e5r systemet tidligere fors\u00f8k p\u00e5 automatisert overv\u00e5king av jordb\u00e6r med god margin.<\/span><\/p>\n

      Implikasjonene av denne forskningen strekker seg imidlertid langt utover bare \u00e5 forbedre avlingene av jordb\u00e6r.\u00a0<\/span><\/p>\n

      Potensialet for \u00e5 redusere matsvinnet er ogs\u00e5 \u00e5penbart. If\u00f8lge FNs organisasjon for ern\u00e6ring og landbruk, <\/span>omtrent 14%<\/span><\/a> av maten som produseres, g\u00e5r tapt mellom innh\u00f8sting og utsalg.\u00a0<\/span><\/p>\n

      Teknologier som dette AI-systemet kan bidra til \u00e5 l\u00f8se dette problemet ved \u00e5 optimalisere innh\u00f8stingstidspunktet og redusere tap p\u00e5 grunn av sykdom eller overmodenhet.<\/span><\/p>\n

      \"\u00c5 redusere matsvinnet og matkostnadene er \u00e5penbart et stort tema i disse dager. Som alle andre blir jeg alltid overrasket n\u00e5r jeg g\u00e5r i butikken og ser prisen p\u00e5 fersk frukt og gr\u00f8nnsaker\", sier Nikan.\u00a0<\/span><\/p>\n

      \"N\u00e5r jeg velger prosjekter, ser jeg vanligvis etter noe som er sikkerhetskritisk eller et samfunnsbehov. Med min erfaring fra andre bruksomr\u00e5der grep jeg sjansen til \u00e5 bruke kunnskapen og ekspertisen min p\u00e5 matsikkerhet.\"<\/span><\/p>\n

      Fremover planlegger teamet allerede \u00e5 teste systemet i utend\u00f8rs omgivelser, og potensielt bruke droner til mer omfattende feltoverv\u00e5king.\u00a0<\/span><\/p>\n

      De utforsker ogs\u00e5 bruken av AI-genererte syntetiske bilder for \u00e5 redusere databehovet for \u00e5 trene opp effektive modeller ytterligere.<\/span><\/p>\n

      \"I stedet for \u00e5 ta bilder av millioner av jordb\u00e6r, noe som er en lite effektiv og kostbar metode, bruker vi syntetiske bilder og programvare med \u00e5pen kildekode til \u00e5 lage millioner av bilder selv, med relativt lav datakraft, noe som n\u00e5 gj\u00f8r det mulig for oss \u00e5 finne sv\u00e6rt detaljerte observasjoner om modenhet og sykdom for helt spesifikke planter\", sier Nikan.<\/p>\n

      Pearce legger til: \"Programvaren er helt gratis og har \u00e5pen kildekode, og b\u00f8nder av alle typer kan laste den ned og tilpasse den til sine behov. De kan for eksempel velge \u00e5 f\u00e5 AI-systemet til \u00e5 sende dem en e-post eller et ping p\u00e5 telefonen n\u00e5r de oppdager en sykdom, eller til og med videresende et bilde av en bestemt plante som er klar til \u00e5 plukkes. Programvaren er helt \u00e5pen for \u00e5 gj\u00f8re den til din egen.\"<\/p>","protected":false},"excerpt":{"rendered":"

      Snart kan kunstig intelligens jobbe sammen med mennesker for \u00e5 dyrke det perfekte jordb\u00e6ret. Forskere ved Western University har utviklet et AI-system som kan forandre hvordan vi dyrker en av verdens favorittfrukter - jordb\u00e6ret - med potensielle ringvirkninger for hele landbrukssektoren. Og nei, dette er ikke relatert til OpenAIs o1-modell, tidligere kodenavnet \"Project Strawberry\". Studien, som er publisert i tidsskriftet Foods, viser et bemerkelsesverdig sprang fremover innen landbruksteknologi. Ved hjelp av avanserte maskinl\u00e6ringsteknikker har teamet skapt et system som er i stand til \u00e5 oppdage modenhet og sykdommer i jordb\u00e6r med nesten 99% n\u00f8yaktighet - alt gjennom enkle<\/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\/nb\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\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\/nb\/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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