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...
Main Authors: | Xiaopeng Li, Yichi Zhang, Yuhan Peng, Shuqin Li |
---|---|
פורמט: | Article |
שפה: | English |
יצא לאור: |
MDPI AG
2023-07-01
|
סדרה: | Agriculture |
נושאים: | |
גישה מקוונת: | https://www.mdpi.com/2077-0472/13/8/1482 |
פריטים דומים
-
SheepFaceNet: A Speed–Accuracy Balanced Model for Sheep Face Recognition
מאת: Xiaopeng Li, et al.
יצא לאור: (2023-06-01) -
RepDwNet: Lightweight Deep Learning Model for Special Biological Blood Raman Spectra Analysis
מאת: Jiongheng He, et al.
יצא לאור: (2024-02-01) -
LMS-Net: A Light-Weight Network for Mungbean Salt Stress Identification
מאת: Haomiao Zhang, et al.
יצא לאור: (2024-01-01) -
Improved Lightweight YOLOv8 Model for Rice Disease Detection in Multi-Scale Scenarios
מאת: Jinfeng Wang, et al.
יצא לאור: (2025-02-01) -
Research and Explainable Analysis of a Real-Time Passion Fruit Detection Model Based on FSOne-YOLOv7
מאת: Juji Ou, et al.
יצא לאור: (2023-07-01)