Et ve Et Ürünlerinde Teknolojik Gelişmelerin Bilimsel Araştırmalardaki Yeri ve Yapay Zeka Tabanlı Veri Analizi ile Gelecek Trendlerin Tahmin Edilmesi
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Keywords:
Et Bilimi, Yapay Zeka, Derin Öğrenme, Hiperspektral Görüntüleme, Blockchain, Akıllı Ambalaj, Hücre Bazlı Et, Gıda Güvenliği, Zaman Serisi AnaliziAbstract
Bu çalışma, et ve et ürünlerinde kullanılan teknolojilerin bilimsel araştırmalardaki eğilimlerini analiz
etmek ve gelecekte hangi alanların ön plana çıkacağını tahmin etmek amacıyla gerçekleştirilmiştir. Son on
yılda hiperspektral görüntüleme, derin öğrenme, bilgisayarlı görme, biyosensörler, blockchain tabanlı
izlenebilirlik, 3D baskı, hücre bazlı et üretimi, soğuk plazma ve akıllı ambalaj gibi teknolojilerin et bilimi
araştırmalarında önemli bir yer edindiği belirlenmiştir.
Zaman serisi analizi (ARIMA), doğrusal regresyon ve kümeleme (K-Means) teknikleri kullanılarak yapılan
tahminler, 2025-2030 yıllarında yapay zeka tabanlı kalite kontrol, hücre bazlı et üretimi ve blockchain ile
gıda izlenebilirliği gibi konuların araştırma odağında olacağını göstermektedir. Regresyon ve korelasyon
analizleri, bu teknolojilerin bilimsel literatürde giderek daha fazla entegre edildiğini ortaya koymuştur.
Sonuçlar, et ve et ürünleri ile ilgili yapay zeka, biyoteknoloji ve dijital izlenebilirlik alanlarında önemli
gelişmeler yaşanabileceği ve bu teknolojilerin et bilimi araştırmalarında yer bulacağını göstermektedir.
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