CHF 196.00

Artificial Intelligence and Data Science in Agriculture
Specialty Crops and Climate Change Modeling

Inglese · Copertina rigida

Pubblicazione il 02.12.2024

Descrizione

Ulteriori informazioni

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.

Info autore

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

Dettagli sul prodotto

Autori Chandrasekar Vuppalapati
Editore De Gruyter
 
Lingue Inglese
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 02.12.2024
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
 
EAN 9783111438412
ISBN 978-3-11-143841-2
Numero di pagine 612
Illustrazioni 475 b/w and 271 col. ill.
Dimensioni (della confezione) 17 x 24 cm
 
Categorie machine learning, Maschinelles Lernen, Artificial Intelligence, Climate Change, Computermodellierung und -simulation, Agriculture, Impact of science & technology on society, Algorithms & data structures, Databases, COM018000 COMPUTERS / Data Processing, COM051300 COMPUTERS / Programming / Algorithms, Specialty Crops
 

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