Data-Driven Insights in Patin Fish Farming Based on a Six-Month Analytical Study of Biomass Feeding Efficiency and Profitability

Abstract

This study explores how real-world data and smart farming tools, specifically the iSENSfishery system, can enhance small-scale Patin fish farming in Malaysia. Over a six-month period, data on fish growth, feeding activity, water quality, and farm economics were collected and analyzed. Using IoT sensors and the iSENSfishery dashboard, farmers monitored key parameters to reduce feed waste and make informed decisions. Correlation analysis revealed strong links between feeding patterns, biomass gain, and economic performance. Statistical analysis further uncovered how mortality and dissolved oxygen levels affected fish survival. The system helped achieve an ROI of over 170%, supported by stable water quality and structured feeding. By combining technology with practical farming needs, iSENSfishery offers a scalable, affordable solution for rural aquaculture. This study highlights its potential to empower farmers through data, improve sustainability, and support smarter decision-making in everyday operations.