Application of real-time detection transformer based on convolutional block attention module and grouped convolution in maize seedling
The proposed model strengthened the shallow edge detail information of the seedlings and increased the feature diversity, effectively addressed the challenges of real-time and accurate identification of maize seedlings in UAV remote sensing images.
Authors
- Yue Tang (ORCID: https://orcid.org/0000-0003-4561-3276)
- Yunlong Wu (ORCID: https://orcid.org/0000-0002-5487-5078)
- Ling Tang (ORCID: https://orcid.org/0000-0002-9241-4328)
- Shouqi Yuan
Institutions
- Jiangsu University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-10-10
- DOI
- https://doi.org/10.3389/fpls.2025.1672746
- Citations
- 1
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- National Key Research and Development Program of China