Machine Learning and Image Processing Based Autonomous Vehicle Design

In this study, image processing is realized on the data received from the camera using the machine learning training model, and mature agricultural products are detected by utilizing the image processing libraries. In addition, the location information of the product is transferred to the motors by serial communication, and the products are collected with the help of the robot arm movements, realized by mathematical modeling. The obtained results show that with the designed machine learning and image processing based autonomous vehicle, the mature product collection process has been successfully carried out at a rate of up to 99%.