Early Identification of Basal Stem Rot Disease Symptom on Oil Palm using Multispectral Small Format Aerial Photograph

Dhimas Wiratmoko and M. Arif Yusuf and Agus Eko Prasetyo (2016) Early Identification of Basal Stem Rot Disease Symptom on Oil Palm using Multispectral Small Format Aerial Photograph. Proceedings The 2nd International Conference of Indonesian Society for Remote Sensing 2016, 47. pp. 349-353.

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Abstract

Basal stem rot disease that caused by Ganoderma boninense is the most destructive disease in oil palm plantation in Indonesia. Early detection of Ganoderma disease incidence will inform the pattern of disease spread quickly and determine the best disease management strategies. Identifiying the oil palm that attacked Ganoderma have been studied by using Multispectral Small Format Aerial Photograph (MSFAP). The study was carried out to determine the MSFAP vegetation index and correlate with level of Ganoderma attacked. The methods that used on this study were using simple ratio (SR) and atmospherically resistance vegetation index (ARVI). The results showed that vegetation index analyzing by using SR and ARVI have strong correlation with level of Ganoderma attacked (r2=0.764 for SR and r 2=0.865 for ARVI).

Item Type: Article
Additional Information: IOP Conference Series: Earth and Environmental Science Volume 47 ISBN 9781510835214
Uncontrolled Keywords: remote sensing, uav, Ganoderma, multispectral, oil palm
Subjects: Teknologi Penginderaan Jauh > Penelitian, Pengkajian, dan Pengembangan > Teknologi dan Data Penginderaan Jauh > Perolehan Data > Satelit
Depositing User: Dinar Indrasasi
Date Deposited: 06 Oct 2021 09:25
Last Modified: 06 Oct 2021 09:25
URI: http://repositori.lapan.go.id/id/eprint/1345

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