Machine learning for food security : principles for transparency and usability
Yujun Zhou, Erin Lentz, Hope Michelson, Chungmann Kim, Kathy Baylis
| Year of publication: |
2022
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|---|---|
| Authors: | Zhou, Yujun ; Lentz, Erin C. ; Michelson, Hope ; Kim, Chungmann ; Baylis, Kathy |
| Published in: |
Applied economic perspectives and policy. - Hoboken, NJ : Wiley, ISSN 2040-5804, ZDB-ID 2529839-2. - Vol. 44.2022, 2, p. 893-910
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| Subject: | food policy | food security | machine learning | remote-sensing | sub-Saharan Africa | Ernährungssicherung | Food security | Künstliche Intelligenz | Artificial intelligence | Ernährungspolitik | Nutrition policy | Zentralafrika | Central Africa | Subsahara-Afrika | Sub-Saharan Africa |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/aepp.13214 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013274052