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...
المؤلفون الرئيسيون: | Xiaopeng Li, Yichi Zhang, Yuhan Peng, Shuqin Li |
---|---|
التنسيق: | مقال |
اللغة: | English |
منشور في: |
MDPI AG
2023-07-01
|
سلاسل: | Agriculture |
الموضوعات: | |
الوصول للمادة أونلاين: | https://www.mdpi.com/2077-0472/13/8/1482 |
مواد مشابهة
-
SheepFaceNet: A Speed–Accuracy Balanced Model for Sheep Face Recognition
حسب: Xiaopeng Li, وآخرون
منشور في: (2023-06-01) -
RepDwNet: Lightweight Deep Learning Model for Special Biological Blood Raman Spectra Analysis
حسب: Jiongheng He, وآخرون
منشور في: (2024-02-01) -
LMS-Net: A Light-Weight Network for Mungbean Salt Stress Identification
حسب: Haomiao Zhang, وآخرون
منشور في: (2024-01-01) -
Improved Lightweight YOLOv8 Model for Rice Disease Detection in Multi-Scale Scenarios
حسب: Jinfeng Wang, وآخرون
منشور في: (2025-02-01) -
Research and Explainable Analysis of a Real-Time Passion Fruit Detection Model Based on FSOne-YOLOv7
حسب: Juji Ou, وآخرون
منشور في: (2023-07-01)