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Segmentation of field grape bunches via an improved pyramid scene parsing network

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Bibliographic Details
Title:	Segmentation of field grape bunches via an improved pyramid scene parsing network
Authors:	Chen, Shan, Song, Yuyang, Su, Jinya, Fang, Yulin, Shen, Lei, Mi, Zhiwen, Su, Baofeng
Contributors:	University of Aberdeen.Computing Science, University of Aberdeen.Machine Learning
Source:	International Journal of Agricultural and Biological Engineering. 14:185-194
Publisher Information:	International Journal of Agricultural and Biological Engineering (IJABE), 2021.
Publication Year:	2021
Subject Terms:	QA75, QA75 Electronic computers. Computer science, grape bunches, deep learning, improved PSPNet, semantic segmentation
Description:	Acknowledgements: This study was financially supported by the Key R&D Project of Ningxia Hui Autonomous Region (Grant No. 2019BBF02013) and Guangxi Key R&D Program Project (Grant No. Gui Ke AB21076001). The authors would like to acknowledge Yixue Liu and Yulin Liu for their help in field data collection and the support of the staff at the experimental site.
Document Type:	Article
File Description:	application/pdf; text
Language:	English
ISSN:	1934-6344
DOI:	10.25165/j.ijabe.20211406.6903
Access URL:	https://ijabe.org/index.php/ijabe/article/download/6903/pdf
Rights:	CC BY
Accession Number:	edsair.doi.dedup.....9b8253de7b64da8d427b5f325e53cce7
Database:	OpenAIRE

Description
Abstract:	Acknowledgements: This study was financially supported by the Key R&D Project of Ningxia Hui Autonomous Region (Grant No. 2019BBF02013) and Guangxi Key R&D Program Project (Grant No. Gui Ke AB21076001). The authors would like to acknowledge Yixue Liu and Yulin Liu for their help in field data collection and the support of the staff at the experimental site.
ISSN:	19346344
DOI:	10.25165/j.ijabe.20211406.6903