Electronic Resource

Machine Learning and Artificial Intelligence for Agricultural Economics

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2108000428	EB0005177	006.3 Vup m	Central Library (OPAC)	Available

Detail Information

Series Title

International Series in Operations Research & Management Science

Call Number

006.3 Vup m

Publisher

Switzerland : Springer Cham., 2021

Collation

xix, 599p.:ill

Language

English

ISBN/ISSN

978-3-030-77485-1

Classification

006.3

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Artificial intelligence

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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