Real-time guava tree-part segmentation using fully convolutional network with channel and spatial attention

It is imminent to develop intelligent harvesting robots to alleviate the burden of rising costs of manual picking. A key problem in robotic harvesting is how to recognize tree parts efficiently without losing accuracy, thus helping the robots plan collision-free paths. This study introduces a real-t...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Guichao, Wang, Chenglin, Xu, Yao, Wang, Minglong, Zhang, Zhihao, Zhu, Lixue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513386/
https://www.ncbi.nlm.nih.gov/pubmed/36176679
http://dx.doi.org/10.3389/fpls.2022.991487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513386/
https://www.ncbi.nlm.nih.gov/pubmed/36176679
http://dx.doi.org/10.3389/fpls.2022.991487

Ejemplares similares