Channel–Spatial Segmentation Network for Classifying Leaf Diseases
Agriculture is an important resource for the global economy, while plant disease causes devastating yield loss. To control plant disease, every country around the world spends trillions of dollars on disease management. Some of the recent solutions are based on the utilization of computer vision tec...
Main Authors: | Balaji Natesan, Anandakumar Singaravelan, Jia-Lien Hsu, Yi-Hsien Lin, Baiying Lei, Chuan-Ming Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
|
Series: | Agriculture |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0472/12/11/1886 |
Similar Items
-
Food Image Classification Based on CBAM-Inception V3 Transfer Learning
by: DU Hui-jiang, et al.
Published: (2024-01-01) -
MSCSA-Net: Multi-Scale Channel Spatial Attention Network for Semantic Segmentation of Remote Sensing Images
by: Kuan-Hsien Liu, et al.
Published: (2023-08-01) -
Multibranch Attention Mechanism Based on Channel and Spatial Attention Fusion
by: Guojun Mao, et al.
Published: (2022-11-01) -
MAS-UNet: a U-shaped network for prostate segmentation
by: YuQi Hong, et al.
Published: (2023-05-01) -
MGA-YOLO: A lightweight one-stage network for apple leaf disease detection
by: Yiwen Wang, et al.
Published: (2022-08-01)