A field-based recommender system for crop disease detection using machine learning

This study investigates crop disease monitoring with real-time information feedback to smallholder farmers. Proper crop disease diagnosis tools and information about agricultural practices are key to growth and development in the agricultural sector. The research was piloted in a rural community of...

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Detalles Bibliográficos
Autores principales: Omara, Jonathan, Talavera, Estefania, Otim, Daniel, Turcza, Dan, Ofumbi, Emmanuel, Owomugisha, Godliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171456/
https://www.ncbi.nlm.nih.gov/pubmed/37181731
http://dx.doi.org/10.3389/frai.2023.1010804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171456/
https://www.ncbi.nlm.nih.gov/pubmed/37181731
http://dx.doi.org/10.3389/frai.2023.1010804

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