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Research on Field Soybean Weed Identification Based on an Improved UNet Model Combined With a Channel Attention Mechanism
Aiming at the problem that it is difficult to identify two types of weeds, grass weeds and broadleaf weeds, in complex field environments, this paper proposes a semantic segmentation method with an improved UNet structure and an embedded channel attention mechanism SE module. First, to eliminate the...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240479/ https://www.ncbi.nlm.nih.gov/pubmed/35783959 http://dx.doi.org/10.3389/fpls.2022.890051 |