Intelligent Aquaculture Monitoring and Automatic Feeding Cruise System Based on STM32

Abstract

Targeting the pain points of traditional aquaculture—low manual management efficiency, delayed water quality control, and high labor costs—this paper presents an STM32-based intelligent aquaculture monitoring and automatic feeding cruise system. With STM32F103 as the core, the system integrates water quality sensors (temperature, pH, dissolved oxygen, turbidity), Bluetooth module, motor drivers, and a steering gear feeding unit. It implements optimal-path cruise via PID algorithm and remote monitoring/control via Bluetooth. Tests verify stable water quality data collection, timed quantitative feeding, and preset-path autonomous cruising. The system effectively reduces manual monitoring costs, offering a low-cost, practical intelligent solution for small-to-medium aquaculture farms.