A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis.

Ramcharan, Amanda; McCloskey, Peter; Baranowski, Kelsee; Mbilinyi, Neema; Mrisho, Latifa; Ndalahwa, Mathias; Legg, James; Hughes, David P

Ramcharan, Amanda; McCloskey, Peter; Baranowski, Kelsee; Mbilinyi, Neema; Mrisho, Latifa; Ndalahwa, Mathias; Legg, James; Hughes, David P.

Afiliación

Ramcharan A; Department of Entomology, College of Agricultural Sciences, Penn State University, State College, PA, United States.
McCloskey P; Department of Entomology, College of Agricultural Sciences, Penn State University, State College, PA, United States.
Baranowski K; Department of Entomology, College of Agricultural Sciences, Penn State University, State College, PA, United States.
Mbilinyi N; International Institute for Tropical Agriculture, Dar el Salaam, Tanzania.
Mrisho L; International Institute for Tropical Agriculture, Dar el Salaam, Tanzania.
Ndalahwa M; International Institute for Tropical Agriculture, Dar el Salaam, Tanzania.
Legg J; International Institute for Tropical Agriculture, Dar el Salaam, Tanzania.
Hughes DP; Department of Entomology, College of Agricultural Sciences, Penn State University, State College, PA, United States.

Front Plant Sci ; 10: 272, 2019.

Article en En | MEDLINE | ID: mdl-30949185

Palabras clave

cassava disease detection; convolutional neural networks; deep learning; mobile plant disease diagnostics; object detection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Front Plant Sci Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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