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Machine Learning Artificial Intelligence Agricultural by Chandrasekar Vuppalapati (43 results)
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide ... Research & Management Science, 314)
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
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Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
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Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide ... Research & Management Science, 314)
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Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
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Machine Learning And Artificial Intelligence For Agricultural Economics
Published by Springer, 2021
Language: English
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Machine Learning and Artificial Intelligence for Agricultural Economics (Paperback)
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030774872 ISBN 13: 9783030774875
Language: English
Paperback. Condition: new. Paperback. This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications.The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization.Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning and Artificial Intelligence for Agricultural Economics (Hardcover)
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030774848 ISBN 13: 9783030774844
Language: English
Hardcover. Condition: new. Hardcover. This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications.The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization.Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
Published by Springer International Publishing, 2022
ISBN 10: 3030774872 ISBN 13: 9783030774875
Language: English
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Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
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International EditionUS$ 254.24
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Add to basketHardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Machine Learning and Artificial Intelligence for Agricultural Economics
Published by Springer International Publishing, Springer International Publishing Okt 2021, 2021
ISBN 10: 3030774848 ISBN 13: 9783030774844
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 206.47
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Add to basketBuch. Condition: Neu. Neuware -This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications.The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization.Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 620 pp. Englisch.
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Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
Published by Springer International Publishing, 2022
ISBN 10: 3030774872 ISBN 13: 9783030774875
Language: English
US$ 206.47
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications.The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization.Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.
-
Machine Learning and Artificial Intelligence for Agricultural Economics : Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
Published by Springer International Publishing, 2021
ISBN 10: 3030774848 ISBN 13: 9783030774844
Language: English
US$ 206.47
Convert currencyUS$ 76.61 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications.The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization.Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.
