Design and Implementation of an Integrated IoT and Artificial Intelligence System for Smart Irrigation Management

Tunisia economic relies heavily on an agriculture key driver. Unfortunately, it yet faces challenges in water management in particularly southern regions having scarce rainfall. Inefficiencies in regular irrigation practized for date palm is addressed by this study. We propose here a smart irrigation system. Leveraging Internet of Things (IoT) and Artificial Intelligence (AI), we have conducted a solution for the Sahara oases. This was done by deploying an IoT sensor network for real-time environmental monitoring. AI algorithms have been used for data processing, enabling precise water predictions for date palms. Results showcase a substantial reduction in water usage, improved crop health, and enhanced yield. The study introduces a novel smart irrigation approach for southern Tunisia. A water optimization has resulted through remote control and monitoring via a cloud-based wireless communication system. Beyond advancing smart agriculture, the research offers crucial implications for mitigating water stress in arid regions, contributing to the transformation of agricultural landscapes. Smart irrigation systems emerge as a viable solution for optimizing water use and avoiding both over- and under-irrigation