Design and demonstration of IoT and machine learning based smart irrigation system

With the exponential populace boom and growing demand, farmers want water to irrigate the land to fulfil this demand. With the exponential growth of Internet of Things (IoT) devices in the market, smart irrigationsystems are creating a new trend. Agriculture plays a major role in the economic sector of the nation. Agricultureautomation using IoT has been a rapidly growing research field in recent years. The automation in agriculture field is the main concern and necessary for the emerging subject across the world. The population is increasing therebyincreasing the demand for food and employment is also increasing. The system is designed to optimize water usage in agriculture and to help farmers in managing their crops efficiently. The system is designed to optimize crop growth and yield while minimizing water usage and reducing the need for manual intervention. The proposedsystem is designed to be low-cost, scalable, and easy to install and use. The study’s outcomes demonstrate that thesuggested system has the capability to significantly decrease water usage in agriculture, all the while preserving or even enhancing crop yield. Implementing IoT automation technology in agriculture holds the potential to transform our crop management practices and support us in attaining sustainable agriculture. This approach relieson the utilization of machine learning algorithms for intelligent agriculture. The use of an And roid app for controlling irrigation systems provides farmers with a more efficient and convenient way to manage their crops. This aims to provide farmers with automatic irrigation, crop monitoring and weather forecasting capabilities. This paper presents a proposed automated system that effectively manages humidity, temperature, and irrigation in agriculture. It offers a thorough overview of the system’s design, implementation, and evaluation in the context of agriculture.