LCGSC-YOLO: a lightweight apple leaf diseases detection method based on LCNet and GSConv module under YOLO framework
The number of parameters and Floating Point Operations (FLOPs) of the LCGSC-YOLO are much less thanother related comparative experimental algorithms.
Authors
- Congcong Qin
- Beibei Hou (ORCID: https://orcid.org/0000-0002-1003-9449)
- Yuan Yuan (ORCID: https://orcid.org/0000-0001-7964-6514)
- Jianlong Wang (ORCID: https://orcid.org/0000-0001-8117-0631)
- Wenfeng Feng (ORCID: https://orcid.org/0000-0002-4085-6896)
- Yake Zhang
Institutions
- Henan Polytechnic University (CN)
- Henan Normal University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2024-10-31
- DOI
- https://doi.org/10.3389/fpls.2024.1398277
- Citations
- 9
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 5.40