IoT and Machine Learning Algorithm in Smart Agriculture

Abstract

Internet of Things (IoT) refers to the interconnection of physical objects and controlling them using embedded technologies such as sensors, software for transferring data via Internet. These data are processed using various decision making algorithms. IoT devices and emerging technologies have been implemented in various sectors and major transformation has occurred in the field of agriculture. In agriculture, farmers face numerous challenges which could be resolved using IoT technologies. IoT enabled smart farming results in improved crop productivity in agricultural field. This study explores the IoT architecture and components, IoT technologies and sensors, various applications in agricultural IoT and its benefits. Also, this study proposes that the use of Remote Monitoring System (RMS) in agriculture for collecting various data such as temperature of environment, humidity of environment, soil moisture, soil pH using different sensors along with decision tree algorithm improves decision making resulting in high yield of crops.