CITRUS RETICULATA SORTATION SYSTEM BASED ON WEIGHT, SIZE AND COLOR USING LOAD CELL SENSOR, ULTRASONIC SENSOR AND WEBCAM WITH MATLAB AND ARDUINO BASED
Siti Marya Darmawati(a*), Waslaluddin(a), Yuyu Rachmat Tayubi(a)

a) Departement of Physics Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia
Jalan Dr. Setiabudhi 229, Bandung 40154, Indonesia
* sitimaryadarmawati[at]gmail.com


Abstract

Sensor and image processing is frequently used on crop quality control process, among others is on citrus reticulata. The weight, the size and the color of this fruit are some of the factors being monitored on sortation process. From these factors, citrus quality and class can be determined. A system consisting of load cell sensor, ultrasonic sensor and webcam camera is designed to determine the quality of a citrus based on its weight, size and color. This system using Matlab as image data processor to find out the ripeness level based on the surface area of yellow color region of the fruit. The greater surface area indicates the fruit is getting ripe. These three factors are compared to the estimated criteria to classify the fruit class. The result of experiment revealed that system can measure weight and size of citrus then classify citrus to its suitable class. The result of image processing shows that the value of surface area is increasing due to the enlargement of the yellow color region of the fruit.

Keywords: Citrus Reticulata, Load Cell Sensor; Ultrasonic Sensor; Image Processing; Sortation.

Topic: Physics

MSCEIS 2018 Conference | http://msceis.conference.upi.edu/2018