Performance Analysis of Microcontroller Based Tomato Fruit Separator Conveyor
Keywords:
Conveyor System, Tomato Sorting, Microcontroller, Color Sensor, Load CellAbstract
The rapid development of automation technology in the agricultural sector has increased the demand for efficient and accurate fruit sorting systems. This study aims to analyze the performance of a microcontroller-based tomato sorting conveyor system that classifies tomatoes according to color and weight parameters. The system was designed using an Arduino Uno microcontroller as the main controller, a TCS3200 color sensor to detect fruit maturity, a load cell sensor to measure weight, and DC motors and servo motors as sorting actuators. A descriptive qualitative research method was employed, with data collected through direct observation and documentation during laboratory testing. The results indicate that the conveyor system operates automatically and consistently in detecting and separating tomatoes based on predefined criteria. The integration of color and weight sensors improves sorting accuracy compared to manual methods. Furthermore, the electrical power system and microcontroller control significantly influence the stability and reliability of conveyor operation. Therefore, the proposed system demonstrates strong potential as a practical solution to enhance post-harvest efficiency in agricultural applications.
References
Hanafie and S. Baco, “Design of an Arduino Uno-based tomato fruit sorter,” JTEK: Jurnal Teknologi dan Komputer, vol. 1, no. 1, pp. 24–31, 2021.
B. Pulungan and Z. Nafis, “Design of an object detection device based on color, shape, and size using a webcam,” JTEIN: Jurnal Teknik Elektro Indonesia, vol. 2, no. 1, pp. 49–54, 2021.
F. Thabit, A. P. S. Alhomdy, A. H. A. Al-Ahdal, and P. D. S. Jagtap, “Color-based fruit maturity classification,” Global Transitions Proceedings, vol. 3, no. 3, pp. 21–30, 2020.
Hanafie, S. Baco, and colleagues, “Concept of automatic sorting in the agricultural industry,” Journal of Technology and Computers, vol. 1, no. 1, pp. 24–31, 2021.
Kumar, “Automated tomato sorting system,” Journal of Agricultural Engineering, vol. 45, no. 2, pp. 123–135, 2018.
Samudra, I. Aprilia, and M. Misdiyanto, “Design and construction of a tomato fruit separator based on color using a light sensor,” TESLA: Jurnal Teknik Elektro, vol. 23, no. 1, pp. 11–23, 2021.
K. Darminta, I. N. Sukarma, and I. M. Budiawan, “Simulation of orange ripeness separator based on color using ATmega328P microcontroller,” Matrix: Journal of Technology Management and Informatics, vol. 7, no. 2, pp. 27–31, 2017.
Wibowo, P. Poningsih, I. Parlina, S. Suhada, and A. Wanto, “Design and construction of palm oil sorting machine based on ripeness level using TCS3200 color sensor based on Arduino Uno,” STORAGE: Scientific Journal of Engineering and Computer Science, vol. 1, no. 2, pp. 9–15, 2022.
P. Sari, et al., “Performance analysis of tomato separator conveyor system based on Arduino Uno,” Indonesian Journal of Agricultural Technology, vol. 14, no. 2, pp. 45–58, 2022.
Wibowo, et al., “Performance evaluation of a tomato separating conveyor using an ESP32 microcontroller,” Journal of Electrical Engineering and Informatics, vol. 11, no. 1, pp. 78–92, 2023.
F. Rahman, et al., “Efficiency analysis of a Raspberry Pi-based tomato separating conveyor,” Journal of Agricultural Sciences, vol. 19, no. 3, pp. 112–125, 2022.
R. A. Putra, et al., “Development of a tomato separating conveyor system using Arduino Mega and load cell sensors,” Journal of Mechatronics, vol. 8, no. 2, pp. 34–47, 2023.
S. Lestari, et al., “IoT integration on an ATmega328-based tomato separating conveyor,” Journal of Agricultural Information Systems, vol. 12, no. 1, pp. 56–69, 2024.
Baihaqi and D. Fridayati, “Analysis of color, TSS, and firmness of tomatoes (Lycopersicum esculentum Mill.) at different ripeness levels,” Jurnal Minfo Polgan, vol. 13, no. 2, pp. 2424–2432, 2024.
Anggreani, M. I. Nasution, and N. Nasution, “Automatic sorting system for tomato ripeness based on color and weight with TCS3200 sensor and HX711 load cell sensor based on Arduino Uno,” Jurnal Fisika Unand, vol. 12, no. 3, pp. 374–380, 2023.
M. Patel, “Quality assessment in fruits,” International Journal of Food Science, vol. 12, no. 3, pp. 456–467, 2019.
Q. Zhang and F. J. Pierce, “Smart agriculture technologies,” Sensors Journal, vol. 16, no. 8, pp. 789–801, 2016.
R. Singh, “Conveyor systems in automation,” Mechanical Engineering Review, vol. 22, no. 1, pp. 234–245, 2020.
Rahayuningtyas, M. Furqon, and D. Sagita, “Design of a tomato sorting device based on a strain gauge type weight sensor and color image processing,” Journal of Industrial Technology Research, vol. 14, no. 1, pp. 65–78, 2020.
Satria, R. Rahmaniar, M. E. Dalimunthe, and M. Iqbal, "A development of IoT-based real-time weather monitoring system using NodeMCU ESP32 and BMP280–DHT11 sensors," INFOKUM, vol. 13, no. 3, p. 698–710, 2025.
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