Toweards an IoT and Fuzzy Logic-Based Architecture to Optimize Water Resource Utilization
automated irrigation; IoT; fuzzy logic
The increasing demand for food security and the scarcity of natural resources pose global challenges, particularly in agriculture, which accounts for a significant share of water consumption. In Brazil, agriculture holds great economic importance; however, its intensive water use necessitates the adoption of more sustainable practices. Managing irrigation adaptively and efficiently is challenging due to the complexity of multiple environmental variables. This reduces water use efficiency and negatively impacts agricultural productivity. IrrigaFlow is a modular architecture that automates irrigation through IoT, fuzzy logic, and distributed processing. It is composed of three layers: IoT Module, Network Edge, and Cloud, enabling real-time monitoring and adjustments based on local environmental data. This approach optimizes water use and enhances responsiveness to climatic conditions. Simulations conducted in a controlled environment allowed for evaluating the architecture’s efficiency across varied scenarios, highlighting its capacity to adjust water management to the specific needs of each crop and environment. IrrigaFlow emerges as a promising alternative to address food security challenges, reduce water waste, and promote sustainable agricultural practices.