Cargando…
Disease diagnostic method based on cascade backbone network for apple leaf disease classification
Fruit tree diseases are one of the major agricultural disasters in China. With the popularity of smartphones, there is a trend to use mobile devices to identify agricultural pests and diseases. In order to identify leaf diseases of apples more easily and efficiently, this paper proposes a cascade ba...
Autores principales: | Sheng, Xing, Wang, Fengyun, Ruan, Huaijun, Fan, Yangyang, Zheng, Jiye, Zhang, Yangyang, Lyu, Chen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539913/ https://www.ncbi.nlm.nih.gov/pubmed/36212336 http://dx.doi.org/10.3389/fpls.2022.994227 |
Ejemplares similares
-
Lightweight-Convolutional Neural Network for Apple Leaf Disease Identification
por: Fu, Lili, et al.
Publicado: (2022) -
Dilated convolution capsule network for apple leaf disease identification
por: Xu, Cong, et al.
Publicado: (2022) -
ALAD-YOLO:an lightweight and accurate detector for apple leaf diseases
por: Xu, Weishi, et al.
Publicado: (2023) -
Identification of Apple Leaf Diseases by Improved Deep Convolutional Neural Networks With an Attention Mechanism
por: Wang, Peng, et al.
Publicado: (2021) -
MGA-YOLO: A lightweight one-stage network for apple leaf disease detection
por: Wang, Yiwen, et al.
Publicado: (2022)