Automated durian grading machine using raspberry pi / (Record no. 23479)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01559nam a22001817a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250821141203.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250218b |||||||| |||| 00| 0 eng d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 2023 |
| Classification number | UT |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Hermina, Sheila G. |
| 9 (RLIN) | 65428 |
| 245 ## - TITLE STATEMENT | |
| Title | Automated durian grading machine using raspberry pi / |
| Statement of responsibility, etc. | Sheila, G. Hermina, Fritz Bryan E. Buno, and Myka Sydney S. Rojas |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Digos City : |
| Name of publisher, distributor, etc. | UMDC, |
| Date of publication, distribution, etc. | ©December 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | ix, 32 pages : |
| Other physical details | illustration (some colors) ; |
| Dimensions | 29 cm. |
| 500 ## - GENERAL NOTE | |
| General note | Includes references and appendices. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Durian has become a important high-value crop in the Philippines, not only due to local demand but also because it has a high market potential. The Bureau of Agriculture and Fisheries Product Standard(BAFPS) introduced a standardized grading system for fresh durian fruit. However, the current practice of manual grading post-harvest often results in inconsistent classification and inaccurate judgments due to variations among humans. This study aims to design and develop an automated durian-grading machine based on its weight and external characteristics to enhance efficiency and consistency in the grading process compared to the traditional manual approach. The researchers utilized Roboflow as an image processing tool where datasets undergo several processes. The researcher used a confusion matrix to analyze the data gathered. The overall results showed 83.5% accuracy in determining its grade. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Buno, Fritz Bryan E. |
| 9 (RLIN) | 65429 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rojas, Myka Sydney S. |
| 9 (RLIN) | 65430 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Undergraduate Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total Checkouts | Full call number | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | UM Digos College - LIC | UM Digos College - LIC | 10/10/2024 | UT | 02/18/2025 | 02/18/2025 | Undergraduate Thesis |