Beschreibung
This book presents some of the most important applications of Artificial Intelligence, Data Science and Machine Learning for questions arising in agriculture. The book introduces data sources and methods used to estimate crop yields and prices under different climate scenarios. The methods and models introduced in the book can be applied across a large set of concrete questions across technology, industry, economics and sustainability.
Autorenportrait
Chandrasekar Vuppalapati graduated from San Jose State University masters 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