Mohammad Abdullah Anshori, Septriandi Wirayoga, Mochammad Junus, Azam Muzakhim Imammuddien
This research presents the design and implementation of a Smart Irrigation System for cassava cultivation, integrating Wireless Sensor Networks (WSN), Mamdani fuzzy logic, and wireless communication modules. The system monitors soil moisture, soil pH, and wind speed in real time, with data processed by a fuzzy controller to determine irrigation decisions. ield tests conducted over three days demonstrated that the system effectively responded to soil condition changes, automatically reducing irrigation when soil moisture increased and preventing overwatering. The fuzzy control rules showed reliable adaptability, ensuring efficient water delivery under dry and neutral pH conditions. Additionally, communication testing using LoRa and SIM800L modules achieved a 91.7% data transmission success rate, with RSSI values between -119 dBm and -71.5 dBm and latency ranging from 0.7-4.68 seconds, indicating stable and reliable hybrid communication performance. Overall, the integration of fuzzy logic and IoT-based communication enhanced irrigation precision and water-use efficiency. The proposed system supports sustainable agriculture and aligns with Industry 4.0 initiatives, providing a scalable and intelligent solution for realtime monitoring and adaptive irrigation management in cassava farming. © 2025 IEEE.
State Polytechnic of Malang, Mechanical Engineering Department, Malang, Indonesia; State Polytechnic of Malang, Electrical Engineering Department, Malang, Indonesia