Machine Learning and Artificial Intelligence for Agricultural Economics

Machine Learning and Artificial Intelligence for Agricultural Economics
Author :
Publisher : Springer Nature
Total Pages : 611
Release :
ISBN-10 : 9783030774851
ISBN-13 : 3030774856
Rating : 4/5 (856 Downloads)

Book Synopsis Machine Learning and Artificial Intelligence for Agricultural Economics by : Chandrasekar Vuppalapati

Download or read book Machine Learning and Artificial Intelligence for Agricultural Economics written by Chandrasekar Vuppalapati and published by Springer Nature. This book was released on 2021-10-04 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Machine Learning and Artificial Intelligence for Agricultural Economics Related Books

Machine Learning and Artificial Intelligence for Agricultural Economics
Language: en
Pages: 611
Authors: Chandrasekar Vuppalapati
Categories: Business & Economics
Type: BOOK - Published: 2021-10-04 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of adv
Machine Learning and Artificial Intelligence for Agricultural Economics
Language: en
Pages: 0
Authors: Chandrasekar Vuppalapati
Categories:
Type: BOOK - Published: 2021 - Publisher:

DOWNLOAD EBOOK

This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of adv
Application of Machine Learning in Agriculture
Language: en
Pages: 332
Authors: Mohammad Ayoub Khan
Categories: Business & Economics
Type: BOOK - Published: 2022-05-14 - Publisher: Academic Press

DOWNLOAD EBOOK

Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural o
The Economics of Artificial Intelligence
Language: en
Pages: 172
Authors: Ajay Agrawal
Categories: Business & Economics
Type: BOOK - Published: 2024-03-05 - Publisher: University of Chicago Press

DOWNLOAD EBOOK

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. I
Innovation in Agriculture with IoT and AI
Language: en
Pages: 129
Authors: Suchismita Satapathy
Categories: Business & Economics
Type: BOOK - Published: 2022-01-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT)