Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm
Abstract Apple leaf diseases significantly impair the photosynthetic efficiency and growth quality of apple trees, leading to reduced fruit yields. Existing methods for disease detection and severity classification struggle to quickly and accurately segment and quantify diseased areas on leaves, par...
Saved in:
| Main Authors: | Zhifang Bi, Fumin Ma, Jiaxiong Guan, Jie Wu, Juxia Li, Fuzhong Li, Yanwen Li, Zhanli Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-15246-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A DRL-based optimization method for microgrid operation
by: ZENG Lei, et al.
Published: (2025-06-01) -
A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement
by: Yongho Jeong, et al.
Published: (2025-02-01) -
Toward Optimal Resource Allocation: A Multi-Agent DRL Based Task Offloading Approach in Multi-UAV-Assisted MEC Networks
by: Muhammad Naqqash Tariq, et al.
Published: (2024-01-01) -
A Multi-Phase DRL-Driven SDN Migration Framework Addressing Budget, Legacy Service Compatibility, and Dynamic Traffic
by: Kai Yuan Tan, et al.
Published: (2025-01-01) -
Secure THz Communication in 6G: A Two-Stage DRL Approach for IRS-Assisted NOMA
by: Muhammad Shahwar, et al.
Published: (2025-01-01)