EconPapers    
Economics at your fingertips  
 

Artificial Intelligence and Heuristics for Enhanced Food Security

Chandrasekar Vuppalapati ()
Additional contact information
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: 2022
ISBN: 978-3-031-08743-1
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch Chapter 1 Introduction
Chandrasekar Vuppalapati
Ch Chapter 10 Heuristics and Agricultural Production Modeling
Chandrasekar Vuppalapati
Ch Chapter 11 Future
Chandrasekar Vuppalapati
Ch Chapter 2 Heuristics
Chandrasekar Vuppalapati
Ch Chapter 3 Data Engineering Techniques for Machine Learning and Heuristics
Chandrasekar Vuppalapati
Ch Chapter 4 Food Security
Chandrasekar Vuppalapati
Ch Chapter 5 Food Security: Quality and Safety Drivers
Chandrasekar Vuppalapati
Ch Chapter 6 ML Models: Food Security and Climate Change
Chandrasekar Vuppalapati
Ch Chapter 7 Food Security and Advanced Imaging Radiometer ML Models
Chandrasekar Vuppalapati
Ch Chapter 8 Composite Models: Food Security and Natural Resources
Chandrasekar Vuppalapati
Ch Chapter 9 Linkage Models: Economic Key Drivers and Agricultural Production
Chandrasekar Vuppalapati

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-3-031-08743-1

Ordering information: This item can be ordered from
http://www.springer.com/9783031087431

DOI: 10.1007/978-3-031-08743-1

Access Statistics for this book

More books in International Series in Operations Research and Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isorms:978-3-031-08743-1