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Authors: Yousif Hashisho 1 ; Tim Dolereit 1 ; Alexandra Segelken-Voigt 2 ; Ralf Bochert 2 and Matthias Vahl 1

Affiliations: 1 Fraunhofer Institute for Computer Graphics Research IGD, Joachim-Jungius-Str. 11, 18059 Rostock, Germany ; 2 Institute of Fisheries, State Research Centre of Agriculture and Fisheries Mecklenburg-Vorpommern, Südstraße 8, 18375 Born, Germany

Keyword(s): Computer Vision, Image Processing, AI, Deep Learning, Shrimp, Aquaculture.

Abstract: Shrimp farming is a century-old practice in aquaculture production. In the past years, some improvements of the traditional farming methods have been made, however, it still involves mostly intensive manual work, which makes traditional farming a neither time nor cost efficient production process. Therefore, a continuous monitoring approach is required for increasing the efficiency of shrimp farming. This paper proposes a pipeline for automated shrimp monitoring using deep learning and image processing methods. The automated monitoring includes length estimation, assessment of the shrimp’s digestive tract and counting. Furthermore, a mobile system is designed for monitoring shrimp in various breeding tanks. This study shows promising results and unfolds the potential of artificial intelligence in automating shrimp monitoring.

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Paper citation in several formats:
Hashisho, Y.; Dolereit, T.; Segelken-Voigt, A.; Bochert, R. and Vahl, M. (2021). AI-assisted Automated Pipeline for Length Estimation, Visual Assessment of the Digestive Tract and Counting of Shrimp in Aquaculture Production. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 710-716. DOI: 10.5220/0010342007100716

@conference{visapp21,
author={Yousif Hashisho. and Tim Dolereit. and Alexandra Segelken{-}Voigt. and Ralf Bochert. and Matthias Vahl.},
title={AI-assisted Automated Pipeline for Length Estimation, Visual Assessment of the Digestive Tract and Counting of Shrimp in Aquaculture Production},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={710-716},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010342007100716},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - AI-assisted Automated Pipeline for Length Estimation, Visual Assessment of the Digestive Tract and Counting of Shrimp in Aquaculture Production
SN - 978-989-758-488-6
IS - 2184-4321
AU - Hashisho, Y.
AU - Dolereit, T.
AU - Segelken-Voigt, A.
AU - Bochert, R.
AU - Vahl, M.
PY - 2021
SP - 710
EP - 716
DO - 10.5220/0010342007100716
PB - SciTePress