Trusted Smart Irrigation System Based on Fuzzy IoT and Blockchain

Water scarcity has become a global issue affecting many countries, particularly in rural and desert areas. In this research, a fuzzy computational analysis is proposed for IoT smart irrigation systems. With the increase in the number of connected devices, security and data privacy are becoming an important challenge in today's IoT applications, especially as most of these tools are increasingly vulnerable. We present a combination of fuzzy logic for decision analysis and secure real-time data collection. Various sensors are distributed in the fields for data collection: temperature as well as humidity. The transfer of these data is ensured following a secured distributed architecture via Blockchain. A decision concerning the position of the valve is taken following the analysis through the Mamdani fuzzy logic model. For the design of the fuzzy system, a rule base as well as a modelling of the different input and output parameters are proposed. The Blockchain technology allows access to trusted devices only. The results obtained are promising in terms of water consumption, which has been reduced by more than 60% compared to manual irrigation. On the security side, our solution ensures the transparent identification of the different trusted nodes.