000 -LEADER |
fixed length control field |
02900nam a22003257a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240506054546.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240501b ||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
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 |
M88 2019 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Mutia, Kim Brian, author. |
9 (RLIN) |
11846 |
245 ## - TITLE STATEMENT |
Title |
MediLeaf : a Herbal Plant Classification System using Image Processing / |
Statement of responsibility, etc. |
Kim Brian Mutia, Keysha R. Pareja, and Carla Angelica A. Maghirang. |
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 |
xiii, 76 leaves : |
Other physical details |
illustrations ; |
Dimensions |
28 cm |
500 ## - GENERAL NOTE |
General note |
An Undergraduate Thesis (BSCos) -- 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="MUTIA, KIM BRIAN, PAREJA, KEYSHA R., MAGHIRANG, CARLA ANGELICA R. MediLeaf: A Herbal Plant Classification System Using Image Processing. Cavite State University-CCAT, Rosario, Cavite. May 2019. Adviser: Prof. Christopher G. Estonilo.<br/><br/>The study was conducted from August 2018 to April 2019 at the Department of Computer Studies of Cavite State University-CCAT. The general objective of the study was to assist users in identifying the type of herbal plant using computer vision. Specifically, the study aimed to: 1) design and develop the system of identifying the type of herbal plant which is capable of importing and capturing leaf image, and identifying the type of imported or captured leaf image; 2) providing the information and benefits of the herbal plant; 3) evaluate the system in order to determine if it complies with the ISO- IE 25010 software evaluation standards; and prepare an implementation plan for the deployment of the system in the Department of Computer Studies of CvSU-CCAT.<br/><br/>The system analysis and design of MediLeaf applied the rapid application development or RAD software development model which was composed of requirement analysis, user design (prototype, test, refine), construction, and cutover.<br/><br/>The system was evaluated by five (5) IT experts and ten (10) general end-user in the campus. It gained a mean of 4.49 and described as very satisfactory for the system developer respondents. On the other hand, it gained a mean of 4.58 and described as excellent for the end-users.">MUTIA, KIM BRIAN, PAREJA, KEYSHA R., MAGHIRANG, CARLA ANGELICA R. MediLeaf: A Herbal Plant Classification System Using Image Processing. Cavite State University-CCAT, Rosario, Cavite. May 2019. Adviser: Prof. Christopher G. Estonilo.<br/><br/>The study was conducted from August 2018 to April 2019 at the Department of Computer Studies of Cavite State University-CCAT. The general objective of the study was to assist users in identifying the type of herbal plant using computer vision. Specifically, the study aimed to: 1) design and develop the system of identifying the type of herbal plant which is capable of importing and capturing leaf image, and identifying the type of imported or captured leaf image; 2) providing the information and benefits of the herbal plant; 3) evaluate the system in order to determine if it complies with the ISO- IE 25010 software evaluation standards; and prepare an implementation plan for the deployment of the system in the Department of Computer Studies of CvSU-CCAT.<br/><br/>The system analysis and design of MediLeaf applied the rapid application development or RAD software development model which was composed of requirement analysis, user design (prototype, test, refine), construction, and cutover.<br/><br/>The system was evaluated by five (5) IT experts and ten (10) general end-user in the campus. It gained a mean of 4.49 and described as very satisfactory for the system developer respondents. On the other hand, it gained a mean of 4.58 and described as excellent for the end-users.</a> |
546 ## - LANGUAGE NOTE |
Language note |
In English text. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Herb species recognition. |
9 (RLIN) |
11847 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Computer vision. |
9 (RLIN) |
5544 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Plant identification. |
9 (RLIN) |
11848 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Image processing -- Digital techniques. |
9 (RLIN) |
11802 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Computer graphics. |
9 (RLIN) |
298 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Pareja, Keysha R., author. |
9 (RLIN) |
11849 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Maghirang, Carla Angelica A., author. |
9 (RLIN) |
11850 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Estonilo, Christopher G., adviser. |
9 (RLIN) |
5822 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Nabablit, Karlo Jose E., technical critic. |
9 (RLIN) |
9160 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Thesis/Manuscripts/Dissertations |
Classification part |
TA 1637 M88 2019 |
Call number prefix |
UM |