{"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\/sv\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/","title":{"rendered":"AI inleder en ny era f\u00f6r jordgubbsodling, med bredare konsekvenser f\u00f6r jordbruket"},"content":{"rendered":"

AI kan snart arbeta tillsammans med m\u00e4nniskor f\u00f6r att odla den perfekta jordgubben.<\/b><\/p>\n

Forskare vid Western University har utvecklat ett AI-system som lovar att f\u00f6r\u00e4ndra hur vi odlar en av v\u00e4rldens favoritfrukter - jordgubben - med potentiella spridningseffekter \u00f6ver hela jordbrukssektorn.<\/span><\/p>\n

Och nej, detta \u00e4r inte relaterat till OpenAI<\/span><\/span><\/span><\/span><\/span>'s o1-modell<\/a>som tidigare gick under kodnamnet \"Projekt Strawberry\".<\/span><\/p>\n

Den <\/span>studie<\/span><\/a>som publiceras i tidskriften Foods, visar p\u00e5 ett anm\u00e4rkningsv\u00e4rt steg fram\u00e5t inom jordbrukstekniken.\u00a0<\/span><\/p>\n

Med hj\u00e4lp av avancerad maskininl\u00e4rningsteknik har teamet skapat ett system som kan uppt\u00e4cka mognad och sjukdomar hos jordgubbar med n\u00e4stan 99% noggrannhet - allt genom enkel kamera\u00f6vervakning.<\/span><\/p>\n

\"Vi ville minska storleken p\u00e5 dessa AI-modeller f\u00f6r att g\u00f6ra dem genomf\u00f6rbara f\u00f6r jordbrukare och lokal produktion\", s\u00e4ger Joshua Pearce, John M. Thompson Chair in Information Technology and Innovation vid Western Engineering och Ivey Business School.\u00a0<\/span><\/p>\n

\"Vi ville inte bara \u00f6ka noggrannheten, som ligger \u00f6ver 98%, utan ocks\u00e5 minska storleken p\u00e5 modellerna.\"<\/span><\/p>\n

Det som skiljer denna forskning fr\u00e5n m\u00e4ngden \u00e4r dess fokus p\u00e5 tillg\u00e4nglighet. Till skillnad fr\u00e5n m\u00e5nga h\u00f6gteknologiska jordbruksl\u00f6sningar som riktar sig till storskaliga verksamheter har Pearce och hans kollega Soodeh Nikan utformat sitt system med sm\u00e5 och medelstora g\u00e5rdar i \u00e5tanke.<\/span><\/p>\n

Teamets metod kombinerade innovativa AI-tekniker med praktisk jordbrukskunskap:<\/span><\/p>\n

    \n
  1. De b\u00f6rjade med att samla in olika upps\u00e4ttningar bilder p\u00e5 jordgubbar, inklusive friska frukter och s\u00e5dana som drabbats av olika sjukdomar.<\/span><\/li>\n
  2. Dessa bilder bearbetades och kompletterades sedan f\u00f6r att skapa ett robust tr\u00e4ningsdataset.<\/span><\/li>\n
  3. Forskarna finjusterade tre olika AI-modeller - Vision Transformer, MobileNetV2 och ResNet18 - som var och en tillf\u00f6rde unika styrkor till uppgiften.<\/span><\/li>\n
  4. F\u00f6r att s\u00e4kerst\u00e4lla att AI:n kunde hantera variationer i den verkliga v\u00e4rlden inf\u00f6rlivade de tekniker som klassviktning och generering av syntetiska bilder.<\/span><\/li>\n
  5. Kanske viktigast av allt var att de integrerade \"uppm\u00e4rksamhetsmekanismer\" i modellerna, vilket gjorde att AI:n kunde fokusera p\u00e5 de mest relevanta delarna av varje bild.<\/span><\/li>\n<\/ol>\n

    Systemet utm\u00e4rker sig genom tv\u00e5 prim\u00e4ra uppgifter:<\/p>\n

      \n
    1. Detektering av mognad<\/strong>: Den kan exakt klassificera jordgubbar som mogna eller omogna, vilket hj\u00e4lper jordbrukarna att optimera sk\u00f6rdetidpunkten.<\/li>\n
    2. Identifiering av sjukdomar<\/strong>: AI kan uppt\u00e4cka och identifiera sju olika typer av jordgubbssjukdomar: kantig bladfl\u00e4ck, antraknos fruktr\u00f6ta, blomr\u00f6ta, gr\u00e5m\u00f6gel, bladfl\u00e4ck, pulveriserad m\u00f6gel frukt och pulveriserad m\u00f6gel blad.<\/li>\n<\/ol>\n

      Resultaten talar f\u00f6r sig sj\u00e4lva. Med en tr\u00e4ffs\u00e4kerhet som ligger runt 98% \u00f6vertr\u00e4ffar systemet tidigare f\u00f6rs\u00f6k till automatiserad \u00f6vervakning av jordgubbar med r\u00e5ge.<\/span><\/p>\n

      Konsekvenserna av denna forskning str\u00e4cker sig dock l\u00e5ngt ut\u00f6ver att bara f\u00f6rb\u00e4ttra jordgubbssk\u00f6rdarna.\u00a0<\/span><\/p>\n

      Potentialen f\u00f6r att minska matsvinnet \u00e4r ocks\u00e5 uppenbar. Enligt FN:s livsmedels- och jordbruksorganisation, <\/span>cirka 14%<\/span><\/a> av den producerade maten g\u00e5r f\u00f6rlorad mellan sk\u00f6rd och detaljhandel.\u00a0<\/span><\/p>\n

      Tekniker som detta AI-system kan bidra till att l\u00f6sa detta problem genom att optimera sk\u00f6rdetidpunkten och minska f\u00f6rlusterna p\u00e5 grund av sjukdomar eller \u00f6vermognad.<\/span><\/p>\n

      \"Att minska svinnet och kostnaden f\u00f6r livsmedel \u00e4r uppenbarligen en stor fr\u00e5ga idag. Som alla andra blir jag alltid f\u00f6rv\u00e5nad n\u00e4r jag g\u00e5r till mataff\u00e4ren och ser priset p\u00e5 f\u00e4rsk frukt och gr\u00f6nsaker\", s\u00e4ger Nikan.\u00a0<\/span><\/p>\n

      \"N\u00e4r jag v\u00e4ljer projekt brukar jag leta efter n\u00e5got som \u00e4r s\u00e4kerhetskritiskt eller ett samh\u00e4lleligt behov. Med min erfarenhet av andra till\u00e4mpningar tog jag chansen att till\u00e4mpa mina kunskaper och min expertis p\u00e5 livsmedelss\u00e4kerhet.\"<\/span><\/p>\n

      Fram\u00f6ver planerar teamet redan att testa sitt system i utomhusmilj\u00f6er, eventuellt med hj\u00e4lp av dr\u00f6nare f\u00f6r bredare f\u00e4lt\u00f6vervakning.\u00a0<\/span><\/p>\n

      De utforskar ocks\u00e5 anv\u00e4ndningen av AI-genererade syntetiska bilder f\u00f6r att ytterligare minska datakraven f\u00f6r att tr\u00e4na effektiva modeller.<\/span><\/p>\n

      \"I st\u00e4llet f\u00f6r att ta bilder av miljontals jordgubbar, vilket \u00e4r en ineffektiv och kostsam metod, anv\u00e4nder vi syntetiska bilder och programvara med \u00f6ppen k\u00e4llkod f\u00f6r att sj\u00e4lva skapa miljontals bilder med relativt l\u00e5g datorkraft, vilket nu g\u00f6r det m\u00f6jligt f\u00f6r oss att g\u00f6ra mycket detaljerade observationer av mognad och sjukdomar f\u00f6r mycket specifika v\u00e4xter\", s\u00e4ger Nikan.<\/p>\n

      Pearce till\u00e4gger: \"Programvaran \u00e4r helt kostnadsfri och \u00f6ppen k\u00e4llkod och det st\u00e5r alla typer av lantbrukare fritt att ladda ner den och sedan anpassa den efter sina behov. De kanske f\u00f6redrar att l\u00e5ta AI-systemet skicka ett e-postmeddelande till dem eller pinga deras telefon n\u00e4r de uppt\u00e4cker en sjukdom eller till och med vidarebefordra en bild av en specifik planta som \u00e4r redo att plockas. Programvaran \u00e4r helt \u00f6ppen f\u00f6r att g\u00f6ra den till din egen.\"<\/p>","protected":false},"excerpt":{"rendered":"

      AI kan snart arbeta tillsammans med m\u00e4nniskor f\u00f6r att odla den perfekta jordgubben. Forskare vid Western University har utvecklat ett AI-system som lovar att f\u00f6r\u00e4ndra hur vi odlar en av v\u00e4rldens favoritfrukter - jordgubben - med potentiella ringar p\u00e5 vattnet inom hela jordbrukssektorn. Och nej, det h\u00e4r \u00e4r inte relaterat till OpenAI: s o1-modell, tidigare kodnamn \"Project Strawberry.\" Studien, som publicerades i tidskriften Foods, visar p\u00e5 ett anm\u00e4rkningsv\u00e4rt steg fram\u00e5t inom jordbrukstekniken. Med hj\u00e4lp av avancerade maskininl\u00e4rningstekniker har teamet skapat ett system som kan uppt\u00e4cka jordgubbsmognad och sjukdomar med n\u00e4stan 99% noggrannhet - allt genom enkla<\/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\/sv\/2024\/09\/ai-ushers-in-bew-era-for-strawberry-farming-with-broader-agricultural-implications\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\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\/sv\/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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