Artificial Intelligence and Data Science in Agriculture

Nyhet

Specialty Crops and Climate Change Modeling

Inbunden, Engelska, 2026

2 669 kr

Kommande

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.

Produktinformation

Utgivningsdatum2026-07-06
Mått170 x 240 x undefined mm
Vikt500 g
FormatInbunden
SpråkEngelska
Antal sidor632
FörlagDe Gruyter
ISBN9783111438412

Tillhör följande kategorier

Agronomi inom Naturvetenskap och teknik
Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Chandrasekar Vuppalapati graduated from San Jose State University master’s Program, specializing inSoftware Engineering, and completed his Master of Business Administration from Santa ClaraUniversity, Santa Clara, California, USA. He is a Software IT Executive and Entrepreneur with diverseexperience in Software Technologies, Enterprise Software Architectures, Cloud Computing, MachineLearning, 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 teachesSoftware 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 heldmarket research, strategy and technology architecture advisory roles in Cisco Systems, Lam Researchand performed Principal Investigator role for Valley School of Nursing where he connected NursingEducators and Students with Virtual Reality technologies. He has authored several internationalconference papers and published books on Building Enterprise IoT Applications, Democratization ofArtificial Intelligence for the Future of Humanity, Machine Learning and Artificial Intelligence forAgricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide, ArtificialIntelligence and Heuristics for Enhanced Food Security, and Artificial Intelligence and AdvancedAnalytics for Food Security. Chandra has served as editor for several conference publications includingInternational Conference on Communication, Computing and Electronics Systems: Proceedings ofICCCES 2020, Intelligent Data Communication Technologies and Internet of Things: Proceedings of ICICI2021, and Intelligent Communication Technologies and Virtual Mobile Networks: Proceedings of ICICV2022. Chandra has served as Chair in numerous technology and advanced computing conferences suchas: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco USA, Future of Information andCommunication Conference 2018, Singapore, and Intelligent Human Systems Integration (IHSI) 2020,Modena, Italy