MARC details
| 000 -LEADER |
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| fixed length control field |
02938nam a22002777a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220624013720.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220624b ||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Language of cataloging |
English. |
| Transcribing agency |
CvSU-CCAT Campus Library. |
| Description conventions |
rda. |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
UM TA 1637 |
| Item number |
A43 2019 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Almario, John Lloyd P., author. |
| 9 (RLIN) |
5671 |
| 245 ## - TITLE STATEMENT |
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| Title |
Coffee Berry Grader and Ripeness Detector / |
| Statement of responsibility, etc. |
John Lloyd P. Almario and Aj Mikko C. Pada |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Rosario, Cavite : |
| Name of publisher, distributor, etc. |
Cavite State University-CCAT Campus, |
| Date of publication, distribution, etc. |
2019 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 69 leaves : |
| Other physical details |
illustrations ; |
| Dimensions |
28 cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Undergraduate Design Project (BSCpE)--Cavite State University-CCAT Campus, 2019. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and appendices. |
| 520 ## - SUMMARY, ETC. |
|---|
| Thesis Abstract |
<a href="ALMARIO, JOHN LLOYD P., PADA, AJ MIKKO C. Coffee Berry Grader and Ripeness Detector. Undergraduate Design Project. Department of Engineering. Cavite State University — Cavite College of Arts and Trades, Rosario, Cavite. June 2019. Adviser: Engr. Ruth Angeli L. Burton. Technical Critic: Engr. John Michael A. Dharma.<br/><br/>The study was conducted from December 2018 to May 2019 to create a Coffee Detector, a scanner for determining the size and level of ripeness of the berry. Specifically aimed to: (1) design and develop a detector for grading coffee berries and determination of degree of ripeness; (2) test the functionality of the prototype according to: scanning speed; scanning capacity;(3) evaluate the device based on ISOMEC 25010 according to: functional stability, performance efficiency, compatibility, usability, _ reliability, security, maintainability, portability, effectiveness, efficiency, satisfaction, freedom from risk and context coverage. <br/><br/>Coffee Berry Detector allows the user to determine the size and level of ripeness of the coffee berry. The developers evaluated the detector in terms of functionality, reliability, usability, efficiency, maintainability and portability. Based on the results of the evaluation the study met its objectives and serve its functions. The security parameter of the evaluation has the highest resulting score of 4.58 grand mean and the lowest was compatibility having 4.30 grand mean. The sensitivity of Pi-camera to light revealed some limitations of the system and arises some recommendations for the improvement of the study. The study was limited for capturing and analyzing the external part of the two variety of coffee berries which are Excelsa and Robusta. <br/><br/>Keywords: Coffee Berry, Pi-camera, Coffee Grader, Ripeness Detector, Color Detector">ALMARIO, JOHN LLOYD P., PADA, AJ MIKKO C. Coffee Berry Grader and Ripeness Detector. Undergraduate Design Project. Department of Engineering. Cavite State University — Cavite College of Arts and Trades, Rosario, Cavite. June 2019. Adviser: Engr. Ruth Angeli L. Burton. Technical Critic: Engr. John Michael A. Dharma.<br/><br/>The study was conducted from December 2018 to May 2019 to create a Coffee Detector, a scanner for determining the size and level of ripeness of the berry. Specifically aimed to: (1) design and develop a detector for grading coffee berries and determination of degree of ripeness; (2) test the functionality of the prototype according to: scanning speed; scanning capacity;(3) evaluate the device based on ISOMEC 25010 according to: functional stability, performance efficiency, compatibility, usability, _ reliability, security, maintainability, portability, effectiveness, efficiency, satisfaction, freedom from risk and context coverage. <br/><br/>Coffee Berry Detector allows the user to determine the size and level of ripeness of the coffee berry. The developers evaluated the detector in terms of functionality, reliability, usability, efficiency, maintainability and portability. Based on the results of the evaluation the study met its objectives and serve its functions. The security parameter of the evaluation has the highest resulting score of 4.58 grand mean and the lowest was compatibility having 4.30 grand mean. The sensitivity of Pi-camera to light revealed some limitations of the system and arises some recommendations for the improvement of the study. The study was limited for capturing and analyzing the external part of the two variety of coffee berries which are Excelsa and Robusta. <br/><br/>Keywords: Coffee Berry, Pi-camera, Coffee Grader, Ripeness Detector, Color Detector</a> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Image processing |
| General subdivision |
Digital techniques. |
| 9 (RLIN) |
527 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer vision programming. |
| 9 (RLIN) |
5672 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Coffee berry. |
| 9 (RLIN) |
5673 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pada, John Lloyd C., author. |
| 9 (RLIN) |
5674 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Burton, Ruth Angeli L., adviser. |
| 9 (RLIN) |
5675 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dharma, John Michael A., critic. |
| 9 (RLIN) |
5216 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis/Manuscripts/Dissertations |
| Classification part |
TA 1637 |
| Item part |
A43 2019 |
| Call number prefix |
UM |
