A New Deep Learning-based Dynamic Paradigm Towards Open-World Plant Disease Detection

Plant disease detection has made significant strides thanks to the emergence of deep learning. However, existing methods have been limited to closed-set and static learning settings, where models are trained using a specific dataset. This confinement restricts the model’s adaptability when encounter...

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Detalles Bibliográficos
Autores principales: Dong, Jiuqing, Fuentes, Alvaro, Yoon, Sook, Kim, Hyongsuk, Jeong, Yongchae, Park, Dong Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577201/
https://www.ncbi.nlm.nih.gov/pubmed/37849839
http://dx.doi.org/10.3389/fpls.2023.1243822

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577201/
https://www.ncbi.nlm.nih.gov/pubmed/37849839
http://dx.doi.org/10.3389/fpls.2023.1243822

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