IoT based Fish Farming Management

Traditional fish farming often relies on labor-intensive and inefficient management practices. This paper presents an IoT-based system designed to enhance fish farming through real-time monitoring, automation, and environmental control. Each pond operates as a wireless sensor network integrating microcontrollers, sensors, actuators, and wireless modules to continuously monitor water quality parameters like temperature, pH, dissolved oxygen, and ammonia levels. The system employs fuzzy logic controllers to optimize water quality and environmental conditions based on sensor readings. Data is transmitted to a centralized platform for analysis, enabling automated adjustments to feeding schedules and water conditions, improving fish growth, reducing waste, and minimizing environmental impact. Farmers can remotely access real-time updates and control systems via mobile or web applications. Predictive analytics and machine learning further anticipate potential issues, allowing proactive measures. The system demonstrates accuracy, reliability, and profitability, supporting sustainable and modern aquaculture practices.