Artificial Intelligence and Data Science in Agriculture - by Chandrasekar Vuppalapati (Hardcover)

Book Synopsis Specialty crops--fruits, vegetables, nuts, horticulture, and nursery crops--are a powerful engine of agricultural growth, contributing nearly one-fifth of U.S. farm revenues and driving a $1.6 trillion global market. As demand rises and climate challenges intensify, growers need smarter tools to stay competitive. This book brings together AI, data science, climate modeling, and economic forecasting to help farmers and innovators improve yields, manage risk, enhance sustainability, and secure long-term profitability. Designed for agricultural leaders, technologists, and policymakers, it delivers practical, future-ready solutions to strengthen specialty crop resilience and global food security.

About the Author Chandrasekar Vuppalapati graduated from San Jose State University master's Program, specializing in Software Engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA. He is a Software IT Executive and Entrepreneur with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Machine Learning, Data Analytics, Internet of Things (IoT), and Software Product & Program Management. Chandra has held engineering architecture and product leadership roles at Microsoft, GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies, a Bell Laboratories Company. He teaches Software Engineering, Mobile Technologies, Cloud Technologies, Data Science, Large Scale Analytics, and Advanced Data Mining for graduate programs in San Jose State University. Chandra has also held market research, strategy and technology architecture advisory roles in Cisco Systems, Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators and Students with Virtual Reality technologies. He has authored several international conference papers and published books on Building Enterprise IoT Applications, Democratization of Artificial Intelligence for the Future of Humanity, Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide, Artificial Intelligence and Heuristics for Enhanced Food Security, and Artificial Intelligence and Advanced Analytics for Food Security. Chandra has served as editor for several conference publications including International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2020, Intelligent Data Communication Technologies and Internet of Things: Proceedings of ICICI 2021, and Intelligent Communication Technologies and Virtual Mobile Networks: Proceedings of ICICV 2022. Chandra has served as Chair in numerous technology and advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco USA, Future of Information and Communication Conference 2018, Singapore, and Intelligent Human Systems Integration (IHSI) 2020, Modena, Italy