Machine learning and artificial intelligence for agricultural economics : (Record no. 10885)
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000 -LEADER | |
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fixed length control field | 02451cam a2200229Ii 4500 |
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 |
Permanent Location | Current Location | Date acquired | Full call number | Accession Number | Koha item type |
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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 |