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Machine Learning and Artificial Intelligence for Agricultural Economics - Prognostic Data Analytics to Serve Small Scale Farmers Worldwide (Hardcover, 1st ed. 2021) Loot Price: R4,716
Discovery Miles 47 160
Machine Learning and Artificial Intelligence for Agricultural Economics - Prognostic Data Analytics to Serve Small Scale...

Machine Learning and Artificial Intelligence for Agricultural Economics - Prognostic Data Analytics to Serve Small Scale Farmers Worldwide (Hardcover, 1st ed. 2021)

Chandrasekar Vuppalapati

Series: International Series in Operations Research & Management Science, 314

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Loot Price R4,716 Discovery Miles 47 160 | Repayment Terms: R442 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: International Series in Operations Research & Management Science, 314
Release date: October 2021
First published: 2021
Authors: Chandrasekar Vuppalapati
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 599
Edition: 1st ed. 2021
ISBN-13: 978-3-03-077484-4
Categories: Books > Professional & Technical > Agriculture & farming > Agricultural science
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Reference & Interdisciplinary > Communication studies > Information theory > General
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Business & Economics > Industry & industrial studies > Primary industries > Agriculture & related industries
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
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LSN: 3-03-077484-8
Barcode: 9783030774844

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