Cargando…
Deep-agriNet: a lightweight attention-based encoder-decoder framework for crop identification using multispectral images
The field of computer vision has shown great potential for the identification of crops at large scales based on multispectral images. However, the challenge in designing crop identification networks lies in striking a balance between accuracy and a lightweight framework. Furthermore, there is a lack...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327894/ https://www.ncbi.nlm.nih.gov/pubmed/37426958 http://dx.doi.org/10.3389/fpls.2023.1124939 |