Generic Artificial Intelligence Synthetic Data Production in Agriculture

Creative Commons License

Bengü K., Çam A., Bozdoğan A. M., Yarpuz Bozdoğan N.

ARTIFICIAL INTELLIGENCE, SMART TECHNOLOGIES AND CLIMATE CHALLENGES IN MODERN AGRICULTURE, Assoc. Prof. Dr. Tefide KIZILDENİZ, Editör, BZT TURAN PUBLISHING HOUSE, Delaware, ss.75-83, 2026

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2026
  • Doi Numarası: 10.30546/19023.978-9952-610-48-2.2025.5154.
  • Yayınevi: BZT TURAN PUBLISHING HOUSE
  • Basıldığı Şehir: Delaware
  • Sayfa Sayıları: ss.75-83
  • Editörler: Assoc. Prof. Dr. Tefide KIZILDENİZ, Editör
  • Çukurova Üniversitesi Adresli: Evet

Özet

The rapid advancement of artificial intelligence (AI) technologies has significantly transformed data-driven sectors, including agriculture. In particular, generative artificial intelligence (GenAI) has emerged as a powerful tool for addressing data scarcity, improving model performance, and enhancing decision-making processes. This study examines the role and applications of generative AI in agriculture, with a specific focus on synthetic data generation techniques. First, the paper outlines the integration of AI into agricultural The rapid advancement of artificial intelligence (AI) technologies has significantly transformed data-driven sectors, including agriculture. In particular, generative artificial intelligence (GenAI) has emerged as a powerful tool for addressing data scarcity, improving model performance, and enhancing decision-making processes. This study examines the role and applications of generative AI in agriculture, with a specific focus on synthetic data generation techniques. First, the paper outlines the integration of AI into agricultural.