A novel methodology for the development of an optimal agricultural crop field using Internet of Things

Abstract

AbstractThe Internet of Things (IoT) plays a vital role in the entity sharing and minimizing the workload of the human beings in various aspects. Nowadays the term IoT is used in various fields such as health care, automobiles, industry, agriculture, and so on. Agriculture is the main source of food to whole world. There are various problems faced by the farmers in agriculture due to shortage and wastage of water and fertilizers. In this regard, an optimal IoT model has been developed and proposed to attain an effective crop field. The proposed IoT model will monitor, record temperature, and soil moisture values, which will be continuously analyzed to achieve optimal plant growth and yield. The motor will be connected to the IoT model which automatically switch on/off based on optimal threshold temperature and soil moisture content value. A novel irrigation algorithm named differential waterflow algorithm has been proposed and deployed in the proposed IoT model for the automatic usage of the motor in the field. The proposed IoT model provides a web interface to the user through the cloud storage, so that the farmer can control and monitor the system in remote. The proposed system will reduce the water consumption and will ensure the uniform water distribution to the crops through the Poisson distribution which results in increasing yield.