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...

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Bibliographic Details
Main Authors: Khalil A. Ammar, Ahmed M.S. Kheir, Ioannis Manikas
Format: Article
Language:English
Published: PeerJ Inc. 2022-06-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/13674.pdf