Machine Learning and Artificial Intelligence for Agricultural Economics

Chandrasekar Vuppalapati ()
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Chandrasekar Vuppalapati: San Jose State University

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2021
ISBN: 978-3-030-77485-1
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Chapters in this book:

Ch Chapter 1 Introduction

Chandrasekar Vuppalapati

Ch Chapter 2 Data Engineering and Exploratory Data Analysis Techniques

Chandrasekar Vuppalapati

Ch Chapter 3 Agricultural Economy and ML Models

Chandrasekar Vuppalapati

Ch Chapter 4 Commodity Markets: Machine Learning Techniques

Chandrasekar Vuppalapati

Ch Chapter 5 Weather Patterns and Machine Learning

Chandrasekar Vuppalapati

Ch Chapter 6 Agriculture Employment and the Role of AI in Improving Productivity

Chandrasekar Vuppalapati

Ch Chapter 7 The Role of the Government and the AI Readiness

Chandrasekar Vuppalapati

Ch Chapter 8 Future

Chandrasekar Vuppalapati

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DOI: 10.1007/978-3-030-77485-1

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