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2021 | OriginalPaper | Chapter

Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis

Authors : Piotr Lech, Krzysztof Okarma, Agata Korzelecka-Orkisz, Adam Tański, Krzysztof Formicki

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

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Abstract

The main purpose of the conducted research is the development and experimental verification of the methods for detection of fish feeding as well as checking its uniformity in the recirculating aquaculture systems (RAS) using machine vision. A particular emphasis has been set on the methods useful for rainbow trout farming.

Obtained results, based on the analysis of individual video frames, convince that the estimation of feeding uniformity in individual RAS-based farming ponds is possible using the selected local image features without the necessity of camera calibration. The experimental results have been achieved for the images acquired in the RAS-based rainbow trout farming ponds and verified using some publicly available video sequences from tilapia and catfish feeding.

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Title: Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis
Authors: Piotr Lech
Krzysztof Okarma
Agata Korzelecka-Orkisz
Adam Tański
Krzysztof Formicki
Publisher: Springer International Publishing
Book: Computational Science – ICCS 2021
Print ISBN: 978-3-030-77969-6

Electronic ISBN: 978-3-030-77970-2

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-77970-2_6

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