Integration of Smart Farming Technologies in the Design and Implementation of an Automated Pellet Feed Production System for Catfish Aquaculture

This study concentrates on the design, development, and implementation of an automated pellet feed production system specifically for catfish aquaculture. The objective is to rectify inefficiencies and labor issues in manual feed production by the implementation of a mechanized solution that improves productivity, uniformity, and operational simplicity. The method was designed to rectify inefficiencies in manual feed processing, augment feed uniformity, and elevate operational efficiency by integrating smart farming technologies. The apparatus incorporates many sensors, such as temperature (DS18B20), humidity (DHT22), current (ACS712), tachometer, and power sensors (INA219), facilitating real-time monitoring and data collection. The extrusion temperature was sustained at an average of 87.5°C, material moisture at 14.8%, motor speed at 1420 rpm, and power consumption at 468 W, hence maintaining uniform feed quality and effective energy utilization. Testing encompassed operability assessments, feed quality evaluations, and performance analyses. The results demonstrate that the system effectively minimizes time and labor in feed preparation while generating high-quality, uniform pellets that promote fish growth. Overall, this study highlights how the convergence of automation, sensorization, and IoT connectivity can transform traditional catfish farming into a smart, efficient, and sustainable aquaculture system, contributing to the advancement of precision aquaculture technologies in developing regions.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-19
DOI
https://doi.org/10.1051/e3sconf/202566502001/pdf
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of Smart Farming Technologies in the Design and Implementation of an Automated Pellet Feed Production System for Catfish Aquaculture

Springer Link (Chiba Institute of Technology)
Water Quality Monitoring Technologies
article

Integration of Smart Farming Technologies in the Design and Implementation of an Automated Pellet Feed Production System for Catfish Aquaculture

article en

Abstract

This study concentrates on the design, development, and implementation of an automated pellet feed production system specifically for catfish aquaculture. The objective is to rectify inefficiencies and labor issues in manual feed production by the implementation of a mechanized solution that improves productivity, uniformity, and operational simplicity. The method was designed to rectify inefficiencies in manual feed processing, augment feed uniformity, and elevate operational efficiency by integrating smart farming technologies. The apparatus incorporates many sensors, such as temperature (DS18B20), humidity (DHT22), current (ACS712), tachometer, and power sensors (INA219), facilitating real-time monitoring and data collection. The extrusion temperature was sustained at an average of 87.5°C, material moisture at 14.8%, motor speed at 1420 rpm, and power consumption at 468 W, hence maintaining uniform feed quality and effective energy utilization. Testing encompassed operability assessments, feed quality evaluations, and performance analyses. The results demonstrate that the system effectively minimizes time and labor in feed preparation while generating high-quality, uniform pellets that promote fish growth. Overall, this study highlights how the convergence of automation, sensorization, and IoT connectivity can transform traditional catfish farming into a smart, efficient, and sustainable aquaculture system, contributing to the advancement of precision aquaculture technologies in developing regions.

Springer Link (Chiba Institute of Technology)
Responsible consumption and production
Openalex Percentile: Top 41%
Water Quality Monitoring Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.