Publication

Abstract : Many cropping systems are concerned about effectively managing water. Water management of irrigated crops can be enhanced with the Internet of Things (IoT) and Wireless Sensor Networks. A growing industry of Internet-of-Things (IoT) applications has emerged in countless industrial areas, such as agriculture, healthcare, and logistics. In the advanced industry, the Internet of Things is the key to maximizing productivity and enabling automation. A Dynamic Irrigation Scheduling System for Irrigated Crop Fields Based on the Internet of Things (IoT) is described in this article. Using IoT, the system offers real-time, automatic, dynamic irrigation treatments for different phases of the crop's growth cycle, and manual irrigation treatment for specific locations. Sensors can be designed as budget-friendly devices to detect water levels in a farm, i.e. water level sensors. An irrigation design which is convenient for farmers, which is both automatic and manual is presented. The application has a user-friendly interface that provides farmers with access to farm information via various modes, such as visuals, cell phones, and a web portal. There are notable results relating to water usage prediction, and failure rate of dynamic irrigation in a variety of climatic conditions. A Multipurpose Energy Efficient Wireless Sensor Node has been designed for loT in order to obtain a longer lifespan and higher accuracy. It will allow the user to select the desired communication module based on the communication range required. A power management circuit is designed to enhance the resource's lifetime in the sensor node. Compared with the traditional method of manual irrigation, it helps to increase the crop productivity. This paper examines IoT trends in agricultural applications.