VLDNet: An Ultra-Lightweight Crop Disease Identification Network
Existing deep learning methods usually adopt deeper and wider network structures to achieve better performance. However, we found that this rule does not apply well to crop disease identification tasks, which inspired us to rethink the design paradigm of disease identification models. Crop diseases...
Hauptverfasser: | Xiaopeng Li, Yichi Zhang, Yuhan Peng, Shuqin Li |
---|---|
Format: | Artikel |
Sprache: | English |
Veröffentlicht: |
MDPI AG
2023-07-01
|
Schriftenreihe: | Agriculture |
Schlagworte: | |
Online Zugang: | https://www.mdpi.com/2077-0472/13/8/1482 |
Ähnliche Einträge
Ähnliche Einträge
-
SheepFaceNet: A Speed–Accuracy Balanced Model for Sheep Face Recognition
von: Xiaopeng Li, et al.
Veröffentlicht: (2023-06-01) -
RepDwNet: Lightweight Deep Learning Model for Special Biological Blood Raman Spectra Analysis
von: Jiongheng He, et al.
Veröffentlicht: (2024-02-01) -
LMS-Net: A Light-Weight Network for Mungbean Salt Stress Identification
von: Haomiao Zhang, et al.
Veröffentlicht: (2024-01-01) -
Improved Lightweight YOLOv8 Model for Rice Disease Detection in Multi-Scale Scenarios
von: Jinfeng Wang, et al.
Veröffentlicht: (2025-02-01) -
Research and Explainable Analysis of a Real-Time Passion Fruit Detection Model Based on FSOne-YOLOv7
von: Juji Ou, et al.
Veröffentlicht: (2023-07-01)