Remotely Managed IoT Based Smart Irrigation System

In recent years, there has been an increasing interest in using IoT-based Smart Irrigation Systems to improve the efficiency of irrigation processes. These systems allow farmers to remotely monitor and control their irrigation systems, which can lead to significant water savings and increased crop yields. This paper presents a remotely accessed IoT-based smart irrigation system that leverages various sensors and machine learning algorithms to optimize irrigation scheduling.The proposed system consists of three main components: sensors, a gateway, and a cloud-based platform. The sensors are used to measure soil moisture, temperature, and humidity levels, as well as other environmental parameters. The gateway collects sensor data and sends it to the cloud-based platform for processing. The platform uses machine learning algorithms to analyze the data and make decisions about when and how much water to apply to the crops.One of the key advantages of this system is its remote accessibility. Farmers can access the system through mobile app, which allows them to monitor and control their irrigation systems from anywhere with an internet connection. This means that farmers can respond quickly to changing weather conditions or other factors that may impact their irrigation needs.