HOB-CNNv2: Deep learning based detection of extremely occluded tree branches and reference to the dominant tree image-Reference-Cited by-同舟云学术

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HOB-CNNv2: Deep learning based detection of extremely occluded tree branches and reference to the dominant tree image

Published:2024-03 Issue: Volume:218 Page:108727
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Chen Zijue^ORCID,Granland Keenan^ORCID,Tang Yunlong,Chen Chao^ORCID

Publisher

Elsevier BV

Reference28 articles.

1. Integration of visible branch sections and cherry clusters for detecting cherry tree branches in dense foliage canopies;Amatya;Biosyst. Eng.,2016

2. Detection of cherry tree branches with full foliage in planar architecture for automated sweet-cherry harvesting;Amatya;Biosyst. Eng.,2016

3. Improving Obstacle Awareness for Robotic Harvesting of Sweet-Pepper;Bac,2015

4. SegNet: A deep convolutional encoder–decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

5. Evaluation of support vector machine and artificial neural networks in weed detection using shape features;Bakhshipour;Comput. Electron. Agric.,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel jujube tree trunk and branch salient object detection method for catch-and-shake robotic visual perception;Expert Systems with Applications;2024-10

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