Integrating Fuzzy Logic, Solar Power and IoT for Real-Time Water Quality Monitoring in Cage Fish Culture

An innovative solution to enhance cage fish culture through the integration of Fuzzy Logic, Solar Power, and Internet of Things for Real-Time Water Quality Monitoring is presented. The system employs a wireless sensor network featuring embedded microcontroller and ZigBee wireless modules to manage water quality parameters in fish pond. Fuzzy controllers autonomously adjust water quality conditions to optimize fish growth. Experimental results through simulation demonstrate successful use of fuzzy logic for real-time water quality monitoring system, showcasing its effectiveness. The proposed approach exhibits robust performance in real-time monitoring of fish ponds, offering potential for heightened efficiency in aquaculture practices. This advancement not only contributes to sustainable aquaculture but also bolsters global food security initiatives by ensuring a consistent and high-quality nutrient supply for human consumption.