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....

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Detalles Bibliográficos
Autores principales: Ammar, Khalil A., Kheir, Ahmed M.S., Manikas, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Agricultural Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250308/
https://www.ncbi.nlm.nih.gov/pubmed/35789661
http://dx.doi.org/10.7717/peerj.13674

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250308/
https://www.ncbi.nlm.nih.gov/pubmed/35789661
http://dx.doi.org/10.7717/peerj.13674

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