National Open University Library

Machine learning and artificial intelligence for agricultural economics : (Record no. 10885)

MARC details
000 -LEADER
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INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030774851
INTERNATIONAL STANDARD BOOK NUMBER
ISBN 3030774856
DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 630.2085/63
MAIN ENTRY--AUTHOR NAME
Personal name Vuppalapati, Chandrasekar,
TITLE STATEMENT
Title Machine learning and artificial intelligence for agricultural economics :
Remainder of title prognostic data analytics to serve small scale farmers worldwide /
Statement of responsibility, etc Chandrasekar Vuppalapati
Copyright Date
Place of publication Cham :
Name of publisher Bloomsbury academic
Year of publication or production [2022]
PHYSICAL DESCRIPTION
Number of Pages xix,599pgs.
Other physical details illustrations (chiefly color)
Accompanying material Nill
SERIES STATEMENT
Series statement International series in operations research and management science ;
FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 2. Data Engineering and Exploratory Data Analysis Techniques -- 3. Agricultural Economy and ML Models -- 4. Commodity Markets - Machine Learning Techniques -- 5. Weather Patterns and Machine Learning -- 6. Agriculture Employment and the Role of AI in improving Productivity -- 7. Role of Government and the AI Readiness -- 8. Future
SUMMARY, ETC.
Summary, etc 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
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial intelligence
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Agriculture
ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://rave.ohiolink.edu/ebooks/ebc2/9783030774851
ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://link.springer.com/10.1007/978-3-030-77485-1
ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://proxy.ohiolink.edu:9099/login?url=https://link.springer.com/10.1007/978-3-030-77485-1
ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Permanent Location Current Location Date acquired Full call number Accession Number Koha item type
Gabriel Afolabi Ojo Central Library (Headquarters). Gabriel Afolabi Ojo Central Library (Headquarters). 09/26/2023 S494 .V87 2022 0187602 Books
Gabriel Afolabi Ojo Central Library (Headquarters). Gabriel Afolabi Ojo Central Library (Headquarters). 09/26/2023 S494 .V87 2022 0187603 Books
Gabriel Afolabi Ojo Central Library (Headquarters). Gabriel Afolabi Ojo Central Library (Headquarters). 09/26/2023 S494 .V87 2022 0187604 Books

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