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Anggraeni, Sakinah Puspa
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BFT water color classification in tilapia aquaculture using computer vision Suwandi, Bondan; Anggraeni, Sakinah Puspa; Palokoto, Toto Bachtiar; Sulistya, Budi; Sujatmiko, Wisnu; Septiawan, Reza; Taufik, Nashrullah; Rufiyanto, Arief; Ardiansyah, Arif Rahmat
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 1: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i1.pp497-508

Abstract

Biofloc technology (BFT) is one of the most promising aquaculture cultivation methods in the modern aquaculture era because of its high efficiency level, especially in water and fodder use. Usually, the general condition of the biofloc can be known from the color of the water. By utilizing the vision sensor, BFT color identification can be done automatically, which helps cultivators find out their BFT system’s condition. In this research, a classification was made for the watercolor of the BFT Tilapia system based on the microbial community color index (MCCI) value and the initial cultivation conditions where algae and nitrifying bacteria had not developed significantly. The color classifications of the bioflocs are clear, green, browngreen, green-brown, and deep-brown. Clear color is the new classification to indicate BFT water conditions in the initial cultivation phase. Further, two computer vision algorithm methods are introduced to classify the color of BFT system water. The first method combines the B/W algorithm and MCCI calculations, while the second algorithm uses the Manhattan distance algorithm approach. From the experiments that have been carried out, both computer vision algorithms methods for classifying biofloc colors have shown promising results.
Co-Authors Ardiansyah, Arif Rahmat Dwiyanti, Hanifah Firdaus, Muhammad Yusha Lubis, Teddy Alhady Nami, Osen Fili Palokoto, Toto Bachtiar Pramudya, Tinova Purwoadi, Michael Andreas Rahmadiansyah, Maristya Rasuanta, Muhammad Putra Rufiyanto, Arief Sasono Rahardjo, Sasono Septiawan, Reza Sujatmiko, Wisnu Sulistya, Budi Suwandi, Bondan Taufik, Nashrullah Widaryanto, Afif Widati, Peni Laksmita