Agricultural big data and methods and models for food security analysis—a mini-review
Background Big data and data analysis methods and models are important tools in food security (FS) studies for gap analysis and preparation of appropriate analytical frameworks. These innovations necessitate the development of novel methods for collecting, storing, processing, and extracting data. M...
Main Authors: | Khalil A. Ammar, Ahmed M.S. Kheir, Ioannis Manikas |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2022-06-01
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Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/13674.pdf |
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