Application of Raspberry and PLC Mitsubishi to the design of tomato classified system automatically

Tóm tắt

This article illustrates the application of Raspberry and PLC Mitsubishi to the design of a tomato classifying system automatically. In this paper, the KNN (K-Nearest Neighbors) algorithm is used in conjunction with the fruit color determination algorithm to determine the level of ripeness, shape and size of tomatoes. These algorithms are embedded into the Raspberry to perform image processing. After processing, the electrical signals from the Raspberry are transmitted to the PLC Mitsubishi to control the actuators of the sorting system. In addition, the authors also establish a SCADA (Supervisory, Control And Data Acquisition) system to control, monitor and collect data of the classification system. The experimental results point out that the tomato grading system is stable, with relatively high accuracy and high labor productivity.