A novel Adaptive Zone-fusion network for precise waxberry semantic segmentation to improve automated-harvesting in a complex orchard environment-Reference-Cited by-同舟云学术

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A novel Adaptive Zone-fusion network for precise waxberry semantic segmentation to improve automated-harvesting in a complex orchard environment

Published:2024-06 Issue: Volume:221 Page:108937
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Fang Chenyu,Chen Haobin,Li Li,Luo Zisheng,Liu Lingling,Ban Zhaojun

Publisher

Elsevier BV

Reference43 articles.

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

2. Multi-network fusion algorithm with transfer learning for green cucumber segmentation and recognition under complex natural environment;Bai;Comput. Electron. Agric.,2022

3. DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs;Chen;IEEE Trans. Pattern Anal. Mach. Intell.,2018

4. Effect of hypobaric storage on quality, antioxidant enzyme and antioxidant capability of the Chinese bayberry fruits;Chen;Chem. Cent. J.,2013

5. Hot air treatment reduces postharvest decay in Chinese bayberries during storage by affecting fungal community composition;Dai;Food Res. Int.,2021

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