Artificial Intelligence and Data Sciences for Precision Agriculture

Dr. Sajid Fiaz, PhD, is Assistant Professor at the Institute of Molecular Biology and Biotechnology, University of Lahore. His research focuses on rice improvement using genome editing, marker-assisted selection, and multi-omics. He has 175 publications, 13 book chapters, edited nine books, and ranks among the world’s top 2% scientists. Dr. Muhammad Azhar Nadeem, Associate Professor of Plant Biotechnology at Mersin University, Türkiye, specializes in plant genomics, next-generation sequencing, and molecular marker development for crop improvement. He has 90+ SCI papers, 10+ book chapters, five edited books, and ranks among the World’s Top 2% Scientists (2023–2025). Prof. Faheem Shehzad Baloch, Professor of Plant Genetics and Genomics at Mersin University, Türkiye, specializes in plant phenomics, genetics, and biotechnology for crop improvement. He has 185+ Web of Science publications, 13 edited books, 14 chapters, 6,000+ citations (h-index 40), and serves on several high-impact journal editorial boards. Dr. Yong Suk Chung, Associate Professor at Jeju National University, focuses on plant breeding and genetics integrating phenomics, AI, and machine learning for precision agriculture. He serves as an Evaluator for the European Innovation Council, a member of IPPN and COST Action DIVERSICROP, and CEO of Pytomix Corporation, advancing smart farming technologies.

• Artificial Intelligence for Global Food Security.- Data Science for Precision Agriculture.- Pest and disease management through precision approaches.- The Role of GIS and GPS in Modern Agricultural Practices.- Introduction of Machine Learning and Enhancement of Agricultural Productivity in Agriculture.- Capacity Building and Education for Climate-Smart Agriculture.- Integrating Artificial Intelligence for Plant Phenotyping.- Smart Farming trends innovation and challenges.- Precision Agriculture in the Era of Technological Advancement.- Impact of Climate Change on Plant Pathogens Disease and Food Security.- Smart Farming Trends Innovation and Challenges.- Machine Learning Applications in Modern Agriculture Advancing Precision Farming Through Intelligent Systems.- Irrigation Management Through Smart Water Solutions.- The Potential of Remote Sensing in Modern Agriculture.- Regulatory Considerations for Utilizing Data Science in Precision Agriculture.