Abstract
Monitoring process for oil palm needed more precise innovation, cheap, fast and accurate technology. Before the existence of new technology, farmers used manual or traditional technique to manage their plantation area that is time and labour consuming. Remote sensing is one of the
most reliable measurements tools for accurate monitoring and managing over large area. The purpose of this study is to count the oil palm tree in the plantation, to check the spacing distance between the oil palm trees and to monitor the status and obstacle in the oil palm plantation area. This study was conducted at Share Farm UiTM Jasin Melaka. Drone were used to capture the oil palm area. ArcGIS software 10.3 have been used in this procedure. The tree and the distance df the oil palm was counted. Based on the results, it shows that the oil palm tree area is unorganized because of some barrier. The barriers that has been identify is clogging water, which it resulted from the old water reservoir used to accumulate water for oil palm tree activity usage. A part from that, fallen trees and old tree is also considered as the barrier in the oil palm area. It is because the presence of pest such as Rhinocerous bettie. that eat the old trunk of oil palm which lead to the fallen trees. In conclusion. ArcGIS software facilitates farmers to monitor and manage their plantation field. Thus, Precision Agriculture can be recommended as a better alternative than the existing traditional method.
Metadata
Item Type: | Book Section |
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Creators: | Creators Email / ID Num. Ismail, Nabilah UNSPECIFIED Zulkifli, Zareen zareen.zulkifli@gmail.com |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Remote Sensing S Agriculture > S Agriculture (General) T Technology > TP Chemical technology > Oils, fats, and waxes > Palm oil |
Divisions: | Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Plantation and Agrotechnology |
Event Title: | Plantation Management Exhibition & Seminar (PIMES) |
Event Dates: | 15 |
Page Range: | p. 47 |
Keywords: | Remote sensing ArcGIS software; Oil palm; Barriers; Precision agriculture |
Date: | 2018 |
URI: | https://ir.uitm.edu.my/id/eprint/56250 |