SEAFEC: a spatial–edge adaptive convolution for multi-scale and boundary-aware plant disease and weed imagery
These results highlight SEAFEC as a general-purpose enhancement module, providing a unified solution for tackling scale-boundary challenges in agricultural imagery to support reliable disease diagnosis and precision weed management.
Authors
- C. Sun (ORCID: https://orcid.org/0009-0008-4430-466X)
- Ji Liu (ORCID: https://orcid.org/0000-0002-0240-8881)
- Biao He (ORCID: https://orcid.org/0000-0002-8973-4857)
- Lilan Lv
- Liuxue Huang
Institutions
- Guangxi University (CN)
- Ministry of Agriculture and Rural Affairs (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2026-01-07
- DOI
- https://doi.org/10.3389/fpls.2025.1695076
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00