MARC details
| 000 -LEADER |
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| fixed length control field |
03016ntm a2200277 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000099170 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251117113335.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
170419t2016 my a f am 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0001256(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
|---|
| Level of rules in bibliographic description |
201905271458 |
| Level of effort used to assign nonsubject heading access points |
atie |
| Level of effort used to assign subject headings |
201704191501 |
| Level of effort used to assign classification |
saini |
| -- |
201704191243 |
| -- |
saini |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FSKKP .S29 2016 r Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Sayyidatina Al Hurul Aina Alzahari |
| 245 10 - TITLE STATEMENT |
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| Title |
Mobile application for classifying palm oil bunch using RGB and artificial neural network / |
| Statement of responsibility, etc. |
Sayyidatina Al Hurul Aina Alzahari |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Kuantan, Pahang : |
| Name of publisher, distributor, etc. |
UMP, |
| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 99 p. : |
| Other physical details |
ill. (some col.) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Computer Systems and Software Engineering |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Project paper (Bachelor of Computer Science (Software Engineering) With Honours) -- Universiti Malaysia Pahang – 2016 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Bibliography : p. 88-91 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Malaysia is known as the second largest producer of palm oil in the world. The current procedure in palm oil mills and in palm plantation, grading the palm oil ripeness is done manually by human graders. This conventional method is subjective, inefficient and inconsistence because human graders has their own techniques, expertise and experience which may vary from each other. Hence, this method affects the quality of palm oil production and also takes longer time for grading. This method must be replaced with technology-based because nowadays technology can reduce human effort, to increase productivity, and more reliable compared to conventional method. In this project, a new method was introduced by developing Android mobile application which comprises with Artificial Neural Network (ANN) engine to classify the palm oil bunch based on RGB colour model. This project aim is to get the accuracy of the ripeness of palm oil bunch with mobile technology. The purpose of this mobile application is to distinguish between the four different classes of palm oil bunch which are unripe, half-ripe, ripe, and overripe. The ripeness palm oil bunch is based on different colour intensity. Hence, this mobile application will use the image of palm oil bunch that has been captured from user's mobile telephone and analyze the images correspondent to human eye and mind. The mobile application is developed for the image processing to make calculation of the mean colour based on RGB colour model and use ANN to decision making to test the data and make the classification for the palm oil bunch. The program that has been developed is expected to distinguish the four different classes of palm oil bunch automatically. This project provides a very reliable technique to standardize the palm oil bunch grading system. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Faculty of Computer Systems and Software Engineering |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Universities and Colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |