Cargando…
MFBP-UNet: A Network for Pear Leaf Disease Segmentation in Natural Agricultural Environments
The accurate prevention and control of pear tree diseases, especially the precise segmentation of leaf diseases, poses a serious challenge to fruit farmers globally. Given the possibility of disease areas being minute with ambiguous boundaries, accurate segmentation becomes difficult. In this study,...
Autores principales: | Wang, Haoyu, Ding, Jie, He, Sifan, Feng, Cheng, Zhang, Cheng, Fan, Guohua, Wu, Yunzhi, Zhang, Youhua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537337/ https://www.ncbi.nlm.nih.gov/pubmed/37765373 http://dx.doi.org/10.3390/plants12183209 |
Ejemplares similares
-
Improved Agricultural Field Segmentation in Satellite Imagery Using TL-ResUNet Architecture
por: Safarov, Furkat, et al.
Publicado: (2022) -
TDD-UNet:Transformer with double decoder UNet for COVID-19 lesions segmentation
por: Huang, Xuping, et al.
Publicado: (2022) -
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet
por: Deng, Yubao, et al.
Publicado: (2023) -
TMD-Unet: Triple-Unet with Multi-Scale Input Features and Dense Skip Connection for Medical Image Segmentation
por: Tran, Song-Toan, et al.
Publicado: (2021) -
Optimized-Unet: Novel Algorithm for Parapapillary Atrophy Segmentation
por: Wan, Cheng, et al.
Publicado: (2021)