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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...
Autores principales: | Lin, Guichao, Wang, Chenglin, Xu, Yao, Wang, Minglong, Zhang, Zhihao, Zhu, Lixue |
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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/PMC9513386/ https://www.ncbi.nlm.nih.gov/pubmed/36176679 http://dx.doi.org/10.3389/fpls.2022.991487 |
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