MARC details
| 000 -LEADER |
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| fixed length control field |
02789ntm a2200337 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251125111038.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
t||||fs|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250509t20232023my a|||fo|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0010045 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMPSA |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
PSM .E34 2023 r Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Eiffel Syafhamka Nadimen A/l Syamsul, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Auto tree counting for oil palm plantation based on UAV/drone orthophoto / |
| Statement of responsibility, etc. |
Eiffel Syafhamka Nadimen A/l Syamsul |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMPSA, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2023 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 61 pages : |
| Other physical details |
illustrations ; |
| Accompanying material |
1 CD-ROM. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
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| General note |
Center for Mathematical Sciences |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Bachelor of Applied Science In Data Analytics With Honour -- Universiti Malaysia Pahang – 2023 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Tree counting plays a crucial role in assessing the number of tree crops within a specific area or plantation farms, and computer vision techniques using aerial or satellite imagery have become prevalent in this domain. Currently, manual digitization is the traditional method employed for tree counting, but it falls behind the advancements in machine learning. To address this, a more effective approach is sought to assist plantation owners with palm oil tree counting and land resource management for a faster and more accurate tree counting method that can be used in ArcGIS. This study will utilize the Faster R-CNN due to its usage of a two-stage pipeline and leverage power of deep learning. This method was able to detect and plot the palm oil tree on the crown of each tree but due to the average precision only being 75%, the method can only detect the trees correctly to a certain extent. Also, the transformation of georeferencing plot points for all the tree using an affine transformation coefficient causes the output to not be aligned in its correct position when outputted into ArcGIS. With that the deployment of Faster RCNN method for palm oil tree counting has been successful, demonstrating its ability to offer a faster and more efficient alternative to manual digitize but the integration of output into ArcGIS software poses as a challenge. The result of implementing this method may be helpful in cutting the cost of labour, saving the time spent to manually digitize the tree counting method and improving the productivity of work. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Center for Mathematical Sciences |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 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 |
Final Year Report |
| General subdivision |
Dissertations |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Final Year Report |