Development of rapid low-cost lars platform for oil palm plantation

Nasruddin , Abu Sari and A. , Asmala and Mohd Yazid , Abu Sari and S. , Sahib and A. W. , Rasib (2015) Development of rapid low-cost lars platform for oil palm plantation. Jurnal Teknologi , 77 (26). pp. 51-57. ISSN 2180-3722

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The need to produce high temporal remote sensing imagery for supporting precision agriculture in oil palm deserves a new low-altitude remote sensing (LARS) technique. Consumer over the shelf unmanned aerial vehicles (UAV) and digital cameras have the potential to serve as Personal Remote Sensing Toolkits which are low-cost, efficient, rapid and safe. The objectives of this study were to develop and test a new technique to rapidly capturing nadir images of large area oil palm plantation (1 km2 ~ 4 km2). Using 5 different multi-rotor UAV models several imagery missions were carried out. Multi-rotors were chosen as a platform due to its vertical take-off and landing (VTOL) feature. Multi-rotor’s VTOL was crucial for imagery mission success. Post processing results showed that for an area of 1 km2, it needs 2 to 6 sorties of quad-rotor UAV with 4000x3000 pixel digital cameras flying at altitude of 120m above ground level and an average of 50m cross-path distance. The results provide a suitability assessment of low-cost digital aerial imagery acquisition system. The study has successfully developed a decent workhorse quad-rotor UAV for Rapid Aerial Photogrammetry Imagery and Delivery (RAPID) in oil palm terrain. Finally we proposed the workhorse UAV as Low-Altitude Personal Remote Sensing (LAPERS) basic founding element.

Item Type: Article
Uncontrolled Keywords: oil palm, LARS, UAV, RAPID, LAPERS, precision agriculture
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
S Agriculture > S Agriculture (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User: Dr. Asmala Ahmad
Date Deposited: 29 Dec 2015 06:40
Last Modified: 29 Dec 2015 06:40
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