Work

Lightweight YOLOv5 with ShuffleNetV2 for Rice Disease Detection in Edge Computing

Year: 2025
Type: article
Abstract: This study proposes a lightweight rice disease detection model optimized for edge computing environments. The goal is to enhance the You Only Look Once (YOLO) v5 architecture to achieve a balance between real-time diagnostic ... | Find, read and cite all the research you need on Tech Science Press
Authors: Qingtao Meng, Sang-Hyun Lee
Institution: Honam University
Language: English
Subfield: Plant Science
Open Access status: diamond
OpenAlex ID: W4415430980
FWCI: 1.531
Cites:
Cited by: 3
Related to: