Detection of basal stem rot (BSR) infected oil palm tree using laser scanning data

Basal Stem Rot (BSR) is a well-known disease that affecting the production of oil palm. Early disease detection is vital to manage the disease effectively. This study examined the potential use of Terrestrial Laser Scanning (TLS) data to analyse the properties of oil palm tree at canopy and trunk se...

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Main Authors: Bejo, Siti Khairunniza, Vong, Chin Nee
Format: Article
Language:English
Published: Elsevier 2014
Online Access:http://psasir.upm.edu.my/id/eprint/37011/
http://psasir.upm.edu.my/id/eprint/37011/1/Detection%20of%20Basal%20Stem%20Rot%20%28BSR%29%20Infected%20Oil%20Palm%20Tree%20Using.pdf
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author Bejo, Siti Khairunniza
Vong, Chin Nee
author_facet Bejo, Siti Khairunniza
Vong, Chin Nee
author_sort Bejo, Siti Khairunniza
building UPM Institutional Repository
collection Online Access
description Basal Stem Rot (BSR) is a well-known disease that affecting the production of oil palm. Early disease detection is vital to manage the disease effectively. This study examined the potential use of Terrestrial Laser Scanning (TLS) data to analyse the properties of oil palm tree at canopy and trunk section for non-infected and infected BSR at different severity level of infection. In summary, area and perimeter at trunk section 150 cm; and size of canopy shows significant relationship with the severity level of BSR with the Pearson correlation value of -0.571, -0.530 and -0.806, respectively.
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institution Universiti Putra Malaysia
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language English
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publishDate 2014
publisher Elsevier
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spelling upm-370112015-12-01T07:10:12Z http://psasir.upm.edu.my/id/eprint/37011/ Detection of basal stem rot (BSR) infected oil palm tree using laser scanning data Bejo, Siti Khairunniza Vong, Chin Nee Basal Stem Rot (BSR) is a well-known disease that affecting the production of oil palm. Early disease detection is vital to manage the disease effectively. This study examined the potential use of Terrestrial Laser Scanning (TLS) data to analyse the properties of oil palm tree at canopy and trunk section for non-infected and infected BSR at different severity level of infection. In summary, area and perimeter at trunk section 150 cm; and size of canopy shows significant relationship with the severity level of BSR with the Pearson correlation value of -0.571, -0.530 and -0.806, respectively. Elsevier 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37011/1/Detection%20of%20Basal%20Stem%20Rot%20%28BSR%29%20Infected%20Oil%20Palm%20Tree%20Using.pdf Bejo, Siti Khairunniza and Vong, Chin Nee (2014) Detection of basal stem rot (BSR) infected oil palm tree using laser scanning data. Agriculture and Agricultural Science Procedia, 2. pp. 156-164. ISSN 2210-7843 10.1016/j.aaspro.2014.11.023
spellingShingle Bejo, Siti Khairunniza
Vong, Chin Nee
Detection of basal stem rot (BSR) infected oil palm tree using laser scanning data
title Detection of basal stem rot (BSR) infected oil palm tree using laser scanning data
title_full Detection of basal stem rot (BSR) infected oil palm tree using laser scanning data
title_fullStr Detection of basal stem rot (BSR) infected oil palm tree using laser scanning data
title_full_unstemmed Detection of basal stem rot (BSR) infected oil palm tree using laser scanning data
title_short Detection of basal stem rot (BSR) infected oil palm tree using laser scanning data
title_sort detection of basal stem rot (bsr) infected oil palm tree using laser scanning data
url http://psasir.upm.edu.my/id/eprint/37011/
http://psasir.upm.edu.my/id/eprint/37011/
http://psasir.upm.edu.my/id/eprint/37011/1/Detection%20of%20Basal%20Stem%20Rot%20%28BSR%29%20Infected%20Oil%20Palm%20Tree%20Using.pdf