Transforming Agriculture through Artificial Intelligence for Sustainable Food Systems

Dr. Priyanka Lal is currently serving as an Assistant Professor in the Department of Agricultural Economics and Extension. She has a strong publication record, with papers and book chapters published in Scopus-indexed journals. Dr. Lal specializes in agricultural economics, with expertise in areas such as the estimation of total factor productivity, efficiency, and household model estimation. Her current research interests include bibliometric analysis studies, as well as time series analysis and forecasting in the field of agricultural economics. Dr. Lal is also an experienced lecturer, having delivered numerous lectures in her domain. Her work demonstrates a commitment to advancing knowledge and understanding in agricultural economics and extension.Dr. Pradeep Mishra is a dedicated and experienced professional with a strong background in Agricultural Statistics, Data Analysis, and Project Management. With over a decade of expertise, Dr. Mishra has demonstrated proficiency in utilizing statistical software such as SAS, SPSS, Minitab, JMP, Easy fit, and R.His proven track record spans across academia, research, and industry settings, showcasing his versatility and ability to excel in diverse environments. Dr. Mishra's expertise in statistical analysis and project management has contributed significantly to the field, making him a valuable asset in agricultural research and analysis.

• Introduction to AI in Agriculture.- Precision Farming- The Future of Sustainable Agriculture.- AI-Driven Crop Monitoring and Management for Sustainable Agriculture.- Data-Driven Farming: Harnessing Big Data for Agriculture.- Smart Irrigation Systems: Optimizing Water Use with AI.- Climate-Resilient Agriculture through Artificial Intelligence.- Supply Chain Optimization: AI in Agriculture Distribution.- Artificial Intelligence in livestock farming: Sustainable Animal Husbandry.- Farm Robotics and Autonomous Systems from Farm to Fork.- Strategy for Artificial Intelligence.- Artificial Intelligence in Agriculture: Case Studies and Success Stories.- Challenges, Opportunities, and the Future of Agricultural Innovations through AI.