Thesis Bachelor of Science in Computer Engineering University of Rizal System-Morong 2024

The general objective of this study was to design and develop the Automated Carabao Mango (Mangifera indica (Linn)) Sorter. Specifically, the study aimed to construct a device suitable for sorting the carabao mangoes or most commonly known as “kinalabaw” by grading the mangoes’ color and weight. The study also aimed to test the performance of the sorting process according to capacity, speed, and accuracy and evaluate its acceptability in terms of its functional suitability, performance efficiency, reliability, maintainability and usability. This research was conducted by the researchers from the 4th year Bachelor of Science in Computer Engineering at the University of Rizal System - Morong Campus during the academic year 2023 - 2024 in Capsid Bugs Fighter in Sitio Bathala, Brgy. Plaza Aldea, Tanay, Rizal. A questionnaire checklist that utilized the 5-point Likert scale was used in the process of collecting the study's data outcomes. The respondents consisted of ten (10) experts or engineers and thirty (30) mango harvesters from Capsid Bugs Fighter. A statistical method called weighted mean was applied to guarantee a complete examination of the gathered data, allowing for a thorough comprehension of the results. This strategy strengthened the validity of the study's conclusions by promoting a more comprehensive understanding of the range of viewpoints. This study employed both developmental and descriptive research methods. Developmental research was instrumental in driving innovation, aligning with the primary purpose of the study. Meanwhile, descriptive research played a crucial role in analyzing and presenting comprehensive data regarding the performance of the developed device, providing valuable insights into its functionality. In the construction of the device, several key hardware components were utilized, including the Arduino Mega 2560, TCS3200 Color Sensor, HX711 Load Cells, BO Motors, Motor Driver, and Servo MG995. To calibrate the sensors, the software was developed using Arduino IDE, ensuring precise functionality and seamless integration of the device's components. To evaluate the device's performance efficiency, a number of tests were conducted. Based on the test results, the Automated Carabao Mango Sorter demonstrates its ability to sort mangoes. In spite of minor variations in the data, the device demonstrated high accuracy of the graded mangoes in different capacities. The respondents reported a general weighted average mean of 4.71 for the Automated Carabao Mango Sorter, which was found to be very much acceptable across factors such as functional suitability, performance efficiency, usability, reliability, and maintainability. Additionally, usability was the most notable feature, indicating how highly user-friendly and intuitive the device's design is. The sorter's ability to function consistently and effectively within mango harvesting operations is highlighted by this thorough validation, which holds the potential to significantly increase productivity and quality control. The robustness and longevity of the developed device were ensured by the use of durable materials in its construction. In terms of accuracy, the developed device performs at a good and sufficient level. The sensor calibration is nearly exact, and the parts used are effective for the task. The simple yet effective layout of the devised device has proven to be both useful and maintainable. It requires less guidance to operate and is simple to use. Its components can be readily replaced with more accessible and affordable materials without compromising its functionality. Finally, the researchers made several recommendations based on the study's conclusions and findings. Utilize the application of artificial intelligence for a more advanced and optimized process of mango sorting and allow the device to test more than one variety of mango and detect reject mangoes. Improve the response time of the sensors while the rollers are continuously running so that the sorting process will go faster. Apply lightweight yet very durable materials like aluminum to construct a design that is light, portable, and convenient to store. Lastly, use a portable power supply such as generator or lead-acid battery as an alternative to electrical energy.