Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide … Research and Management Science 314

$15.99

Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide … Research and Management Science 314
Authors: Chandrasekar Vuppalapati
Year: 2021
Publisher: Springer
Language: English
ISBN 13: 9783030774844
ISBN 10: 3030774848
Categories: Computers, Artificial Intelligence (AI)
Pages: 320 / 319
Edition: 1st ed. 2021

Availability: 5000 in stock

SKU: 9783030774844 Categories: ,

Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide … Research & Management Science, 314) Chandrasekar Vuppalapati
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. Categories:
Computers – Artificial Intelligence (AI)
Year:
2021
Edition:
1st ed. 2021
Publisher:
Springer
Language:
english
Pages:
618 / 611
ISBN 10:
3030774848
ISBN 13:
9783030774844
File:
458 MB

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Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide … Research and Management Science 314
$15.99

Availability: 5000 in stock