AI in Agriculture & Food Science: Transforming Sustainability and Productivity

Akbulut M., Çengel Ş. T., Akbulut M. E.

Global Research - Shusha Conference "AI for a better future", Susa, Azerbaycan, 16 - 18 Haziran 2025, cilt.1, sa.1, ss.20-27, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1
  • Basıldığı Şehir: Susa
  • Basıldığı Ülke: Azerbaycan
  • Sayfa Sayıları: ss.20-27
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

This study presents an analysis of the interdisciplinary applications of Artificial Intelligence (AI) across the domains of agriculture and food science. With increasing global pressure on food systems due to climate change, population growth, and ecological degradation, AI emerges as a pivotal enabler of resilience, productivity, and sustainability. By synthesizing findings from state-of-the-art research, this study explores how deep learning architectures, reinforcement learning models, and hybrid AI frameworks are deployed in tasks ranging from real-time crop monitoring and precision irrigation to post-harvest quality control and food safety assurance. Emphasis is placed on the role of AI in food traceability systems, predictive maintenance of Agri-machinery, and smart logistics networks powered by IoT and edge computing. The paper critically evaluates how these technologies converge under the paradigm of Agriculture and Food 6.0 to foster circular economies, reduce environmental footprints, and empower smallholder farmers through intelligent, data-driven decision support. Furthermore, integrating climate resilience frameworks within AI protocols can offer adaptive advantages against volatile environmental conditions.