LDSL framework: a lightweight dual-stream learning framework for wheat disease detection
This study provides a novel detection framework for wheat disease research, which significantly improves various classification metrics. With low parameter and computation costs, the framework demonstrates good potential for practical deployment.
Authors
- Ning Chunyu (ORCID: https://orcid.org/0000-0001-9661-8232)
- Mingliang Li (ORCID: https://orcid.org/0000-0002-6181-5954)
- You Tang (ORCID: https://orcid.org/0000-0002-2873-4212)
- Lei Feng
- G. Ye
- Qinghai Wu
Institutions
- Changchun University of Science and Technology (CN)
- Jilin Province Science and Technology Department (CN)
- Jilin Agricultural Science and Technology University (CN)
- Jilin Agricultural University (CN)
Publication Details
- Journal
- Plant Methods
- Published
- 2025-10-24
- DOI
- https://doi.org/10.1186/s13007-025-01455-9
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- People's Government of Jilin Province