From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild

Plant disease recognition is of vital importance to monitor plant development and predicting crop production. However, due to data degradation caused by different conditions of image acquisition, e.g., laboratory vs. field environment, machine learning-based recognition models generated within a spe...

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Detalles Bibliográficos
Autores principales: Wu, Xinlu, Fan, Xijian, Luo, Peng, Choudhury, Sruti Das, Tjahjadi, Tardi, Hu, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059679/
https://www.ncbi.nlm.nih.gov/pubmed/37011278
http://dx.doi.org/10.34133/plantphenomics.0038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059679/
https://www.ncbi.nlm.nih.gov/pubmed/37011278
http://dx.doi.org/10.34133/plantphenomics.0038

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