Harnessing the power of machine learning analytics to understand food systems dynamics across development projects
Alessandra Garbero, Bia Carneiro, Giuliano Resce
| Year of publication: |
2021
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|---|---|
| Authors: | Garbero, Alessandra ; Carneiro, Bia ; Resce, Giuliano |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 172.2021, p. 1-15
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| Subject: | Big data | Development agencies | Food systems | IFAD | Machine learning | Text mining | Künstliche Intelligenz | Artificial intelligence | Data Mining | Data mining | Big Data | Ernährungssicherung | Food security | Entwicklungsprojekt | Development project | Ernährungsindustrie | Food industry | Entwicklungsländer | Developing countries |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2021.121012 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013174262