Machine-supported decision-making to improve agricultural training participation and gender inclusivity

Women comprise a significant portion of the agricultural workforce in developing countries but are often less likely to attend government sponsored training events. The objective of this study was to assess the feasibility of using machine-supported decision-making to increase overall training turno...

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Detalles Bibliográficos
Autores principales: Reeves, Norman Peter, Ramadan, Ahmed, Sal y Rosas Celi, Victor Giancarlo, Medendorp, John William, Ar-Rashid, Harun, Krupnik, Timothy Joseph, Lutomia, Anne Namatsi, Bello-Bravo, Julia Maria, Pittendrigh, Barry Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162538/
https://www.ncbi.nlm.nih.gov/pubmed/37145990
http://dx.doi.org/10.1371/journal.pone.0281428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162538/
https://www.ncbi.nlm.nih.gov/pubmed/37145990
http://dx.doi.org/10.1371/journal.pone.0281428

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