Overview

This book aims to explore the groundbreaking intersection of artificial intelligence (AI) and agriculture, focusing on how innovative technologies can be harnessed to create sustainable and resilient food systems. As global challenges such as climate change, population growth, and resource scarcity intensify, this book seeks to provide a comprehensive guide to leveraging AI for optimizing agricultural practices, enhancing productivity, and promoting environmental stewardship. The final chapter summarizes key findings, highlighting the overarching themes, and providing insights into the future of AI in agriculture. Emphasis is placed on the importance of collaboration, ethical considerations, and responsible deployment of AI technologies to ensure a sustainable and equitable food future. This book is intended for a diverse audience, including researchers, academics, policymakers, agri-tech professionals, farmers, and students interested in the future of agriculture, sustainability, and emerging technologies.

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9789819647941

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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.

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