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Transfer learning for versatile plant disease recognition with limited data

Deep learning has witnessed a significant improvement in recent years to recognize plant diseases by observing their corresponding images. To have a decent performance, current deep learning models tend to require a large-scale dataset. However, collecting a dataset is expensive and time-consuming....

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Detalles Bibliográficos
Autores principales: Xu, Mingle, Yoon, Sook, Jeong, Yongchae, Park, Dong Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726777/
https://www.ncbi.nlm.nih.gov/pubmed/36507376
http://dx.doi.org/10.3389/fpls.2022.1010981