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Automatic counting methods in aquaculture: a review

Li, Daoliang, Miao, Zheng, Peng, Fang, Wang, Liang, Hao, Yinfeng, Wang, Zhenhu, Chen, Tao, Li, Hui and Zheng, Yingying (2020) Automatic counting methods in aquaculture: a review Journal of the World Aquaculture Society.

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Abstract

Object counting in aquaculture is an important task, and has been widely applied on fish population estimation, lobster abundance estimation, and scallop stock, etc. However, underwater object counting is challenging for biologists and marine scientists, because of the diversity of background of the lake or ocean, the uncertainty of the object motion, and the occlusion between objects. With the rapid development of sensor, computer vision and acoustic technologies, advanced and efficient counting methods are available in aquaculture. We reviewed underwater object counting methods in aquaculture, provided a survey including more than 50 papers in the recent 10 years, and analyzed the pros and cons of the counting methods and the applicable scenarios of those methods. Finally, the major challenges and future trends of underwater object counting in aquaculture are discussed.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
NameEmailORCID
Li, Daoliang
Miao, Zheng
Peng, Fang
Wang, Liang
Hao, Yinfeng
Wang, Zhenhu
Chen, TaoT.Chen@surrey.ac.uk
Li, Huihl0024@surrey.ac.uk
Zheng, Yingying
Date : 2020
Funders : Biotechnology and Biological Sciences Research Council (BBSRC)
Grant Title : UK-China ADPAC project.
Copyright Disclaimer : © 2020 John Wiley & Sons Ltd. This article is protected by copyright. All rights reserved.
Uncontrolled Keywords : Aquaculture; Object counting; Sensor; Computer vision; Acoustic technology
Related URLs :
Depositing User : Clive Harris
Date Deposited : 02 Oct 2020 16:04
Last Modified : 02 Oct 2020 16:04
URI: http://epubs.surrey.ac.uk/id/eprint/858641

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