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...

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Detalles Bibliográficos
Autores principales: Hu, Yimin, Meng, Ao, Wu, Yanjun, Zou, Le, Jin, Zhou, Xu, Taosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
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

Internet

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

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