The efficient management of water resources is a major issue in the field of sustainable development. Several models of solving this problem can be found in the literature, especially in the agricultural sector which represents the main consumer through irrigations. Therefore, Irrigation management is an important and innovative field that has been the subject of several types of research and studies to deal with the different activities, behaviors, and conflicts between the different users. This article presents a methodology for developing an intelligent irrigation system that determines the water requirement of each farm according to the water loss due to the process of evapotranspiration. The water requirement is calculated from data collected from a series of sensors installed in the plantation farm. This project focuses on smart irrigation based on IoT that is effective and can be used by farmer associations whose endowments and irrigation planning are defined according to the need and quantity of water available in the rural municipality. The system includes a microcontroller with the integration of sensors, actuators, and valve modules where each node serves as an IoT device. The environmental parameters are monitored directly through a multi-agent system which facilitates the control of each node and the configuration parameters for irrigation. The amount of water calculated for irrigation is based on the Penman model for calculating the daily benchmark for evapotranspiration. Compared to the conventional irrigation method, it is expected that the proposed irrigation model would help save water use and distribute it impartially without compromising its production.