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A01=Chandrasekar Vuppalapati
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Author_Chandrasekar Vuppalapati
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Category1=Non-Fiction
Category=PDR
Category=UMB
Category=UN
Category=UYQ
COP=Germany
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Artificial Intelligence and Data Science in Agriculture: Specialty Crops and Climate Change Modeling

English

By (author): Chandrasekar Vuppalapati

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. See more
Current price €159.59
Original price €167.99
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A01=Chandrasekar VuppalapatiAge Group_UncategorizedAuthor_Chandrasekar Vuppalapatiautomatic-updateCategory1=Non-FictionCategory=PDRCategory=UMBCategory=UNCategory=UYQCOP=GermanyDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 02 Dec 2024

Product Details
  • Dimensions: 170 x 240mm
  • Publication Date: 02 Dec 2024
  • Publisher: De Gruyter
  • Publication City/Country: Germany
  • Language: English
  • ISBN13: 9783111438412

About Chandrasekar Vuppalapati

Chandrasekar Vuppalapati graduated from San Jose State University masters 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 HealthcareCisco Systems St. Jude Medical and Lucent Technologies a Bell Laboratories Company. He teachesSoftware Engineering Mobile Technologies Cloud Technologies Data Science Large Scale Analyticsand 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) 2020Modena Italy

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