Intelligent and Smart Irrigation Control System Using IoT Technology for Smart Farming Application

Abstract

The increasing global population and demand for food production have necessitated more efficient water management in agriculture. Traditional irrigation methods, often based on fixed schedules, are inefficient, leading to water wastage and suboptimal crop yields. This paper presents an intelligent and smart irrigation control system using Internet of Things (IoT) technology, which enables real-time monitoring and precise control of irrigation based on environmental conditions. The proposed system integrates sensors for soil moisture, temperature, humidity, and light, which are connected to a central microcontroller. Data collected by these sensors can be processed using machine learning algorithms, specifically the K-Nearest Neighbors (KNN) algorithm, to determine the optimal irrigation schedule. The system features a mobile application for remote monitoring and control, enhancing the flexibility and efficiency of agricultural water management. Field tests demonstrate that the system effectively monitors soil moisture content, temperature and humidity from the field test.