Development and performance evaluation of an automatic size-sorting system for catfish seeds using photodiode sensors
Abstract
In catfish farming, uniform seed size is crucial for ensuring balanced growth and minimizing competition for feed. Generally, size sorting is performed manually through visual observation and net separation, which is labor-intensive, time-consuming, and often causes stress or injury to fish. To address these limitations, this study aimed to develop and evaluate a real-time, low-cost automatic sorting system for live catfish seeds. The proposed system utilizes photodiode sensors and an Arduino-based microcontroller to detect variations in fish body length by interrupting a laser beam. Four photodiodes were arranged at specific distances to classify fish seeds into four size categories (
Fields of Study & Subjects
Water Quality Monitoring Technologies
Arduino and IoT Applications
Fisheries and Aquaculture Studies
Publication details
- Journal / source
- SINERGI
- Volume
- 30
- Issue
- 1
- Pages
- 197–208
- Publication date
- 16 January 2026
- Language
- EN