An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet

Tomato disease control is an urgent requirement in the field of intellectual agriculture, and one of the keys to it is quantitative identification and precise segmentation of tomato leaf diseases. Some diseased areas on tomato leaves are tiny and may go unnoticed during segmentation. Blurred edge al...

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Detalles Bibliográficos
Autores principales: Deng, Yubao, Xi, Haoran, Zhou, Guoxiong, Chen, Aibin, Wang, Yanfeng, Li, Liujun, Hu, Yahui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204749/
https://www.ncbi.nlm.nih.gov/pubmed/37228512
http://dx.doi.org/10.34133/plantphenomics.0049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204749/
https://www.ncbi.nlm.nih.gov/pubmed/37228512
http://dx.doi.org/10.34133/plantphenomics.0049

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