Vitamin C Prediction Of Tomatoes Based on Image Processing Using TCS3200 Color Sensor
Sandra Malin Sutan, Retno Damayanti*, Yusuf Hendrawan, Bambang Susilo
Department of Agricultural Engineering, Faculty of Agricultural Technology, Universitas Brawijaya, Malang, Indonesia
*damayanti[at]ub.ac.id
Abstract
Tomato is widely consumed in Indonesia and have highest nutritional content of vitamin C. Vitamin C can be generally analyzed at laboratory which takes a long time and could be destructive. The maturity level of tomato is determined by changes in skin surface color. One technique that can be used to measure the tomatoes maturity by digital images. Digital image processing techniques can be non-destructively to analyzed vitamin C content. Vitamin C in tomatoes, design the system automatically, simple and practical with a small dimension scale on digital images, and perform performance testing of vitamin C prediction on tomatoes based on tomato skin color. The digital image processing uses Arduino UNO and TCS3200 sensors. The performance test and the database input will be tested using 10 pieces of raw, undercooked and cooked tomatoes. The resulting design can be used automatically, simply and practically cause design have dimensions of 19 cm high and 15 cm long with 350 grams of weighing. The toll is can be used in a practical manner and assisted by a 7800 mAh power bank and the output of 5v as a component power . The results of performance testing show that it can detect vitamin C content based on the database by obtaining a success rate of 93%.
Keywords: Image Processing; TCS3200 Color Sensor; Tomato; Vitamin C.
Topic: AGRICULTURAL ENGINEERING