Automatic counting methods in aquaculture: A review-Reference-Cited by-同舟云学术

Automatic counting methods in aquaculture: A review

Published:2020-10-19 Issue:2 Volume:52 Page:269-283
ISSN:0893-8849
Container-title:Journal of the World Aquaculture Society
language:en
Short-container-title:J World Aquacult Soc

Author:

Li Daoliang¹²³⁴⁵^ORCID,Miao Zheng¹²³⁴⁵,Peng Fang¹²³⁴⁵,Wang Liang¹²³⁴⁵,Hao Yinfeng¹²³⁴⁵,Wang Zhenhu¹²³⁴⁵,Chen Tao⁶,Li Hui⁶,Zheng Yingying⁷

Affiliation:

1. National Innovation Center for Digital Fishery China Agricultural University Beijing China

2. Beijing Engineering and Technology Research Centre for Internet of Things in Agriculture China Agriculture University Beijing China

3. Precision Agricultural Technology Integration Research Base (Fishery) Ministry of Agriculture and Rural Affairs Beijing China

4. Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture China agriculture University Beijing China

5. College of Information and electrical Engineering China Agricultural University Beijing China

6. Department of Chemical and Process Engineering University of Surrey Guildford UK

7. Department of Electrical and Computer Engineering Utah State University Logan Utah USA

Publisher

Wiley

Subject

Agronomy and Crop Science,Aquatic Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jwas.12745

Reference61 articles.

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2. Aprahamian M. W. Nicholson S. M. McCubbing D. J. F. &Davidson I.(1996).The use of resistivity fish counters in fish stock assessment. Stick Assessment in Inland Waters ed I. Cowx 27–43.

3. Vision-based discrimination of tuna individuals in grow-out cages through a fish bending model

4. Influence of turbidity and passage rate on the efficiency of an infrared counter to enumerate and measure riverine fish

5. Belcher E. Hanot W. &Burch J.(2002).Dual‐frequency identification sonar (DIDSON). InProceedings of the 2002 International Symposium on Underwater Technology(Cat. No. 02EX556) (pp. 187–192). IEEE.

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