Bark recognition application for the common fruit-bearing trees at Cavite State University- Main Campus / by RG A. Ambagan.
Material type: TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2016.Description: ix, 91 pages : illustrations ; 28 cmContent type:- text
- unmediated
- volume
- 005.4 Am1 2016
- College of Engineering, and Information Technology (CEIT), College of Engineering and Information Technology
Item type | Current library | Collection | Call number | Materials specified | URL | Status | Notes | Date due | Barcode |
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Theses / Manuscripts | Ladislao N. Diwa Memorial Library Theses Section | Non-fiction | 005.4 Am1 2016 (Browse shelf(Opens below)) | Link to resource | Room use only | T-6679 | 00010939 |
Thesis (BS Computer Science) Cavite State University
Includes bibliographical references.
College of Engineering, and Information Technology (CEIT), College of Engineering and Information Technology
AMBAGAN , RG A. Bark Recognition Application for the Common Fruit-Bearing Trees at Cavite State University-Main Campus. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite, April 2016. Adviser: Mr. Simeon E. Daez.
The study was conducted from March 2015 to April 2016 at Cavite State University - Main Campus. The purpose of the study was to develop a bark recognition application for the common fruit-bearing trees that can recognize fruit-bearing trees and their uses. The methodology used was iterative development methodology which is composed of the following phases: planning, requirement, design and analysis, implementation, testing, evaluation, and deployment phase. The mobile application was deployed and evaluated by 100 participants composed of students. According to the overall evaluation results, the system was judged to be "Excellent".
Upon the completion of the study, the researcher concluded that the application was effective in recognizing fruit-bearing trees by capturing the bark image through the image in the database and the results will display in the user's mobile device. Thus, the user will be able to recognize a specific fruit-bearing tree and its uses. Based on the results, the study shows that the application was interpreted as excellent in efficiency, user-friendliness, and functionality.
Submitted copy for the University Library May 29, 2017 T-6679