Improving Accuracy of Tomato Plant Disease Diagnosis Based on Deep Learning With Explicit Control of Hidden Classes

Recognizing plant diseases is a major challenge in agriculture, and recent works based on deep learning have shown high efficiency in addressing problems directly related to this area. Nonetheless, weak performance has been observed when a model trained on a particular dataset is evaluated in new gr...

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Detalles Bibliográficos
Autores principales: Fuentes, Alvaro, Yoon, Sook, Lee, Mun Haeng, Park, Dong Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716922/
https://www.ncbi.nlm.nih.gov/pubmed/34975931
http://dx.doi.org/10.3389/fpls.2021.682230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716922/
https://www.ncbi.nlm.nih.gov/pubmed/34975931
http://dx.doi.org/10.3389/fpls.2021.682230

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