Artificial Intelligence and Data Science in Agriculture

Specialty Crops and Climate Change Modeling
1. Auflage 2026
ISBN: 978-3-11-143841-2
Verlag: De Gruyter

Buch, Englisch, 612 Seiten, Format (B × H): 170 mm x 240 mm, Gewicht: 500 g

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.

Autoren/Hrsg.

Vuppalapati, Chandrasekar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Informationstechnik, IT-Industrie

Über Autor(innen)

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