An Automatic System for Crop Monitoring and Culture Based on IoRT

Abstract

The development of automated farming systems in precision agriculture has been attracting increasing research interest. In this paper, we present an automatic system for crop culture and monitoring based on the Internet of RoboticThings (IoRT). The system includes: an agricultural farming robot with built-in object detection block based on deep learning to locate and classify plant and weed in the image; a device that monitors the parameters of the soil and air environment. The information from the robot and the monitoring device is combined to help the robot determine the right way to take care of the plants. Technical solutions for each component of the system are fully proposed, implemented and evaluated. The experimental results show that the robot is capable of detecting objects with high accuracy; monitoring equipment operates stably; suitable robot design, allowing precise movement of the actuator to any position in the field of view.