The identification of oreochromis niloticus feeding behaviour through the integration of photoelectric sensor and logistic regression classifier

Mohamad Radzi Mohd Sojak, Mohd Azraai Mohd Razman*, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Ahmad Shahrizan Abdul Ghani, Ismed Iskandar

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

Oreochromis niloticus or tilapia is the second major freshwater aquaculture bred after catfish in Malaysia. By understanding the feeding behaviour, fish farmers will able to identify the best feeding routine. In the present investigation, photoelectric sensors are used to identify the movement, speed and position of the fish. The signals acquired from the sensors are converted into binary data. The hunger behaviour classes are determined through k-means clustering algorithm, i.e., satiated and unsatiated. The Logistic Regression (LR) classifier was employed to classify the aforesaid hunger state. The model was trained by means of 5-fold cross-validation technique. It was shown that the LR model is able to yield a classification accuracy for tested data during the day at three different time windows (4 h each) is 100%, 88.7% and 100%, respectively, whilst the for-night data it was shown to demonstrate 100% classification accuracy.

Original languageEnglish
Title of host publicationRobot Intelligence Technology and Applications - 6th International Conference, RiTA 2018, Revised Selected Papers
EditorsJong-Hwan Kim, Hyung Myung, Seung-Mok Lee
PublisherSpringer Verlag
Pages222-228
Number of pages7
ISBN (Print)9789811377792
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event6th International Conference on Robot Intelligence Technology and Applications, RiTA 2018 - Kuala Lumpur, Malaysia
Duration: 16 Dec 201818 Dec 2018

Publication series

NameCommunications in Computer and Information Science
Volume1015
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference6th International Conference on Robot Intelligence Technology and Applications, RiTA 2018
Country/TerritoryMalaysia
CityKuala Lumpur
Period16/12/1818/12/18

Keywords

  • Fish hunger behaviour
  • Logistic regression
  • Oreochromis niloticus
  • Photoelectric sensor

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