Development of a Fuzzy Logic and IoT-Based Automated Irrigation System for Water Spinach Cultivation

This study presents the development of an IoT-based irrigation system with fuzzy logic to enhance water spinach cultivation. Urban farming has helped increase urban resilience to food security concerns. This method encourages water conservation, organic fertilizers, and composting, among other sustainable agriculture methods. This technique combines technology, plant physiology, and soil science, resulting in long-term sustainable agriculture. Previous research primarily focused on developing an automated plant sprinkler system that used a microcontroller to provide the plant with adequate water and nutrients based on sensor data without any application to make it easier for users to monitor the plant and control the automated sprinkler from afar. This project implements a cloud computing method by using Blynk apps to control and monitor sensor data. The system was tested directly by evaluating the functionality of sensors and the application to ensure they operated as intended. The results showed that the sensors reliably monitored environmental parameters, and the application successfully controlled the irrigation system remotely, maintaining ideal conditions for plant growth. These findings highlight the potential of IoT technology to support sustainable urban farming and expand opportunities for its implementation.