0
Your cart

Your cart is empty

Books > Business & Economics > Business & management > Management & management techniques > Management decision making

Buy Now

Machine Learning and Artificial Intelligence for Agricultural Economics - Prognostic Data Analytics to Serve Small Scale Farmers Worldwide (Hardcover, 1st ed. 2021) Loot Price: R4,305
Discovery Miles 43 050
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

 (sign in to rate)
Loot Price R4,305 Discovery Miles 43 050 | Repayment Terms: R403 pm x 12*

Bookmark and Share

Expected to ship within 12 - 17 working days

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
LSN: 3-03-077484-8
Barcode: 9783030774844

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners