A Sensing Approach for Automated and Real-Time Crop Prediction in the Scope of Smart Farming

Abstract

Internet of things (IoT) sensors have the ability to provide information about agricultural fields and subsequently take action based on user input, making smart agriculture an emerging concept. The development of a smart farm system using the advantages of cutting-edge technologies like Arduino, IoT, and wireless sensor networks is proposed in this paper. The goal of the study is to use rapidly developing technology, i.e., IoT and automated smart agriculture, to its advantage. The key to increasing the production of productive crops is to keep an eye on the environment. The main feature of this paper is the creation of a system that can use ESP8266 sensors to track temperature, humidity, moisture, and even the movement of animals that could damage crops in an agricultural field. If any discrepancy is detected, the system can send an short messaging service notification to the farmer’s smartphone as well as a notification on the application that was created for the purpose. Through an android application, the system’s duplex communication link, which is based on a cellular Internet interface, enables data examination and irrigation scheduling programming. The device has the potential to be helpful in water-scarce, remote places due to its low cost and energy independence.