Iot Based Hydroponic Plant Monitoring and Sensor System

This study focuses to designed to revolutionize hydroponic plant management, taking plant health and growth optimization to new heights through the seamless integration of fuzzy logic. The study aims to design an IoT-based hydroponic plant monitoring system using fuzzy logic. Data on soilless farming control, water levels, and quality standards will be analyzed. The system uses sensors and actuators to collect and transmit data on environmental parameters like temperature, humidity, and nutrient and water levels to a central control unit via IoT. System development in Ayuti, Urban Poor, Lucban involves understanding requirements, data collection, literature reviews, and expert consultations to monitor vital indicators in hydroponic settings. The study revealed improved lettuce plant quality and reduced farmer burden, but suggested improvements for hydroponics monitoring and control systems to boost industry, enhance food security, and empower communities. In conclusion, this system represents a remarkable stride towards enhancing the sustainability and efficiency of hydroponic farming, with the potential to substantially impact crop production and food security in modern agriculture. The hydroponics system production was examined, and respondents gave an overall rating of 4.32 (Strongly Agree) for readability, portability, accuracy, and functionality.