Robust deep learning based shrimp counting in an industrial farm setting-Reference-Cited by-同舟云学术

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Robust deep learning based shrimp counting in an industrial farm setting

Published:2024-08 Issue: Volume:468 Page:143024
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Bukas Christina,Albrecht Frauke^ORCID,Ur- Rehman Muhammad Saeed,Popek Daniel,Patalan Mikołaj,Pawłowski Jarosław,Wecker Bert,Landsch Kilian,Golan Tomasz^ORCID,Kowalczyk Tomasz,Piraud Marie^ORCID,Ende Stephan S.W.^ORCID

Funder

Federal Ministry of Food and Agriculture

Publisher

Elsevier BV

Reference35 articles.

1. Automatic counting shrimp larvae based you only look once (YOLO);Armalivia,2021

2. Interactive object counting;Arteta;Lect. Notes Comput. Sci.,2014

3. Combination of canny edge detection and blob processing techniques for shrimp larvae counting;Awalludin,2019

4. Crowd counting on images with scale variation and isolated clusters;Bai,2019

5. A prototype system to count nursery pacific white shrimp using image processing;Boksuwan,2018

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