Yapay zeka, g\u0131da i\u015fleme teknolojilerinde etkileyici \u00e7\u00f6z\u00fcmler sa\u011fl\u0131yor. Ak\u0131ll\u0131 algoritmalar sayesinde \u00fcretim daha verimli, g\u0131dalar daha g\u00fcvenli ve israf daha az oluyor. Ya\u015far \u00dcniversitesi MYO G\u0131da Teknolojisi Program\u0131 G\u0131da \u0130\u015fleme B\u00f6l\u00fcm Ba\u015fkan\u0131 Biyom\u00fchendis Dr. \u00d6\u011fretim \u00dcyesi Ece Y\u0131ld\u0131z \u00d6zt\u00fcrk, g\u0131da end\u00fcstrisinin \u00e7a\u011f\u0131n en b\u00fcy\u00fck teknolojik d\u00f6n\u00fc\u015f\u00fcmlerinden birini ya\u015fad\u0131\u011f\u0131n\u0131 vurgulayarak \u015funlar\u0131 s\u00f6yledi: “Yapay zeka destekli sistemler, art\u0131k yaln\u0131zca otomasyon sa\u011flamakla kalm\u0131yor; ayn\u0131 zamanda \u00fcretim s\u00fcre\u00e7lerini analiz ediyor, sorunlar\u0131 \u00f6nceden tespit ediyor ve kaliteyi art\u0131r\u0131yor. \u00d6zellikle g\u0131da i\u015fleme teknolojilerinde yapay zekan\u0131n kullan\u0131m\u0131 hem \u00fcreticilere hem de t\u00fcketicilere b\u00fcy\u00fck avantajlar sunuyor.”<\/p>\n
\u00dcreticiden t\u00fcketiciye g\u0131da g\u00fcvenli\u011fi
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G\u0131da g\u00fcvenli\u011finin, k\u00fcresel \u00f6l\u00e7ekte en kritik konulardan biri olmaya devam etti\u011fini belirten Biyom\u00fchendis Dr. \u00d6\u011fr. \u00dcyesi Ece Y\u0131ld\u0131z \u00d6zt\u00fcrk, “Yapay zekan\u0131n g\u0131da g\u00fcvenli\u011fi alan\u0131ndaki uygulamalar\u0131, modern g\u0131da end\u00fcstrisinin g\u00fcvenilirli\u011fini ve t\u00fcketici sa\u011fl\u0131\u011f\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde artt\u0131r\u0131yor. Bu teknoloji sayesinde mikroorganizmalar\u0131n ve patojenlerin tespiti daha h\u0131zl\u0131 ve hassas hale gelirken, g\u0131da maddelerinde kontaminasyon riskleri en aza indirilebiliyor. Makine \u00f6\u011frenimi ve b\u00fcy\u00fck veri analizleri kullan\u0131larak, g\u0131da \u00fczerindeki zararl\u0131 mikroorganizmalar\u0131n yay\u0131l\u0131m\u0131 \u00f6ng\u00f6r\u00fclerek, olas\u0131 hastal\u0131klar\u0131n \u00f6nlenmesine katk\u0131 sa\u011flan\u0131yor. Ayr\u0131ca yapay zeka tabanl\u0131 sens\u00f6rler ve veri analiti\u011fi, g\u0131da izlenebilirli\u011fi alan\u0131nda tedarik zincirinin her a\u015famas\u0131n\u0131 detayl\u0131 \u015fekilde takip ederek, kalite sorunlar\u0131n\u0131 ve olas\u0131 riskleri minimize edebiliyor” dedi.
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Ak\u0131ll\u0131 algoritmalar sayesinde \u00fcretim s\u00fcre\u00e7leri optimize edilerek, daha az maliyetle daha y\u00fcksek verim elde edilebildi\u011fini s\u00f6yleyen Dr. \u00d6\u011fretim \u00dcyesi Ece Y\u0131ld\u0131z \u00d6zt\u00fcrk “Enerji verimlili\u011fini art\u0131rarak, hammaddenin en do\u011fru \u015fekilde kullan\u0131lmas\u0131n\u0131 sa\u011flayan bu teknolojiler, g\u0131da sekt\u00f6r\u00fcn\u00fcn s\u00fcrd\u00fcr\u00fclebilirlik hedeflerine ula\u015fmas\u0131nda kritik rol oynuyor” diye konu\u015ftu.<\/p>\n
Artan pestisit kullan\u0131m\u0131 ekosisteme tehdit
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D\u00fcnya genelinde tar\u0131mda kullan\u0131lan pestisit miktar\u0131n\u0131n her y\u0131l art\u0131\u015f g\u00f6sterdi\u011fini bunun da ekosistem i\u00e7in tehlike olu\u015fturdu\u011funu anlatan Ya\u015far \u00dcniversitesi MYO G\u0131da Teknolojisi Program\u0131 G\u0131da \u0130\u015fleme B\u00f6l\u00fcm Ba\u015fkan\u0131 Biyom\u00fchendis Dr. \u00d6\u011fr. \u00dcyesi Ece Y\u0131ld\u0131z \u00d6zt\u00fcrk, “Birle\u015fmi\u015f Milletler G\u0131da ve Tar\u0131m \u00d6rg\u00fct\u00fc (FAO) verilerine g\u00f6re, son 30 y\u0131lda pestisit t\u00fcketiminde ciddi bir y\u00fckseli\u015f ya\u015fand\u0131. Bu art\u0131\u015f yaln\u0131zca g\u0131da g\u00fcvenli\u011fini de\u011fil, ayn\u0131 zamanda toprak, su kaynaklar\u0131 ve genel ekosistem sa\u011fl\u0131\u011f\u0131n\u0131 da olumsuz etkiliyor. Pestisitlerin g\u0131dalarda b\u0131rakt\u0131\u011f\u0131 kal\u0131nt\u0131lar, k\u0131sa vadede akut zehirlenmeler ve alerjik reaksiyonlara; uzun vadede ise kanser, n\u00f6rolojik bozukluklar ve hormonal dengesizlikler gibi ciddi sa\u011fl\u0131k sorunlar\u0131na yol a\u00e7abiliyor” dedi.<\/p>\n
Anl\u0131k takip, h\u0131zl\u0131 m\u00fcdahale
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Dr. Y\u0131ld\u0131z \u00d6zt\u00fcrk, bu riski azaltmak i\u00e7in tar\u0131m ve g\u0131da \u00fcretim s\u00fcre\u00e7lerine yapay zeka teknolojilerinin entegre edilmesinin \u00f6nemine vurgu yaparak \u015fu de\u011ferlendirmelerde bulundu:
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“Yapay zeka destekli sistemler sayesinde, tar\u0131m alanlar\u0131ndan e\u015f zamanl\u0131 veri toplanarak ekonomik ve sa\u011fl\u0131kl\u0131 bir pestisit y\u00f6netimi sa\u011flanabiliyor. Geli\u015ftirilen ak\u0131ll\u0131 sens\u00f6rler, g\u00f6r\u00fcnt\u00fc i\u015fleme algoritmalar\u0131 ve uzaktan alg\u0131lama teknolojileriyle pestisit kal\u0131nt\u0131lar\u0131 h\u0131zl\u0131 ve hassas bi\u00e7imde tespit edilebiliyor. Yapay zeka tabanl\u0131 analiz sistemlerinin yayg\u0131nla\u015fmas\u0131 hem \u00fcreticilere hem de t\u00fcketicilere b\u00fcy\u00fck avantaj sa\u011fl\u0131yor.”
<\/p>\n","protected":false},"excerpt":{"rendered":"
Yapay zeka, g\u0131da i\u015fleme teknolojilerinde etkileyici \u00e7\u00f6z\u00fcmler sa\u011fl\u0131yor. Ak\u0131ll\u0131 algoritmalar sayesinde \u00fcretim daha verimli, g\u0131dalar daha g\u00fcvenli ve israf daha az oluyor. Ya\u015far \u00dcniversitesi MYO G\u0131da Teknolojisi Program\u0131 G\u0131da \u0130\u015fleme B\u00f6l\u00fcm Ba\u015fkan\u0131 Biyom\u00fchendis Dr. \u00d6\u011fretim \u00dcyesi Ece Y\u0131ld\u0131z \u00d6zt\u00fcrk, g\u0131da end\u00fcstrisinin \u00e7a\u011f\u0131n en b\u00fcy\u00fck teknolojik d\u00f6n\u00fc\u015f\u00fcmlerinden birini ya\u015fad\u0131\u011f\u0131n\u0131 vurgulayarak \u015funlar\u0131 s\u00f6yledi: “Yapay zeka destekli sistemler,…<\/p>\n","protected":false},"author":1,"featured_media":55336,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-55335","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-guncel"],"_links":{"self":[{"href":"https:\/\/www.egemtv.com\/index.php?rest_route=\/wp\/v2\/posts\/55335","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.egemtv.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.egemtv.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.egemtv.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.egemtv.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=55335"}],"version-history":[{"count":1,"href":"https:\/\/www.egemtv.com\/index.php?rest_route=\/wp\/v2\/posts\/55335\/revisions"}],"predecessor-version":[{"id":55337,"href":"https:\/\/www.egemtv.com\/index.php?rest_route=\/wp\/v2\/posts\/55335\/revisions\/55337"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.egemtv.com\/index.php?rest_route=\/wp\/v2\/media\/55336"}],"wp:attachment":[{"href":"https:\/\/www.egemtv.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=55335"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.egemtv.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=55335"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.egemtv.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=55335"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}