Generic Artificial Intelligence Synthetic Data Production in Agriculture
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.