International Journal of Research Studies in Educational Technology
Divine Word College of San Jose Special Issue
Volume 9, Issue Number 1
Available Online: 5 May 2025
Author/s:
Gabay, Mhaicka Andreah F.*
Divine Word College of San Jose, Philippines (maykafloresgabay@gmail.com)
Dela Rosa, Jullienne Mari B.
Cañaveral, Adverson Jr. G.
Soledad, Diane Cheska D.
Bautista, Danreese Kenzie O.
Means, Orion Gregory Lee N.
Bautista, Josephine N.
Galay-Limos, Jenny A.
Abstract:
This study aimed to develop an Arduino-based automated grading onion machine for enhanced productivity. The researchers utilized an experimental research design in developing and testing the machine. The materials used in the study were the following: Arduino-Uno, MQ-135 gas sensor, conveyor, servo motor, battery power supply, weighing scale, camera, and jumper wires. The researchers encoded different programs in the machine’s servo motor and camera to carry out their intended function. To gather the data, the researchers conducted an experiment of trials to test the machine’s efficiency in terms of its performance, enhanced productivity, and the accuracy of the machine in grading and sorting the onions by size, texture, and quality. Based on the results and data gathered through experimenting and trials, it can be concluded that the machine is efficient, faster, and cost-efficient; has a long battery life; and is accurate in sorting and grading the onions. Moreover, the automated machine’s grading function is consistently accurate when it comes to sorting onions with different sizes, and its performance when tested is proven more precise and faster than manual grading through observation; it was tested and proven by t-test and analysis of variance (ANOVA) on the data gathered by the researchers themselves. The researchers then recommend that future researchers further improve the device by enhancing the Arduino-based automated grading onion machine by optimizing its processing speed and expanding its grading capabilities to accommodate larger quantities of onions.
Keywords: automated grading onion machine, enhanced productivity, Arduino-Uno, MQ-135 gas sensor, experimental study
DOI: https://doi.org/10.5861/ijrset.2025.25017
Cite this article:
Gabay, M. A. F., Dela Rosa, J. M. B., Cañaveral, A. J. G., Soledad, D. C. D., Bautista, D. K. O., Means, O. G. L. N., Bautista, J. N., & Galay-Limos, J. A. (2025). Development of an Arduino-based automated grading onion (Allium cepa, L.) machine for enhanced productivity. International Journal of Research Studies in Educational Technology, 9(1), 243-255. https://doi.org/10.5861/ijrset.2025.25017
* Corresponding Author