A computerized digital imaging technique to estimate palm oil quality based on fruit colour.

Typically palm oil quality is determined in a destructive manner using wet chemical analysis. Such an analysis can be costly, time consuming and error prone. Deterioration of Bleachability Index (DOBI) iS a key Indicator of palm oil quality. An alternative evaluation procedure that combines consis...

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Main Author: Universiti Putra Malaysia, Research Management Centre
Format: Journal
Language:English
Published: Research Management Centre, Universiti Putra Malaysia 2007
Online Access:http://psasir.upm.edu.my/id/eprint/662/1/synthesis_17-19.pdf
http://psasir.upm.edu.my/id/eprint/662/
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spelling my.upm.eprints.6622014-11-20T01:17:13Z http://psasir.upm.edu.my/id/eprint/662/ A computerized digital imaging technique to estimate palm oil quality based on fruit colour. Universiti Putra Malaysia, Research Management Centre Typically palm oil quality is determined in a destructive manner using wet chemical analysis. Such an analysis can be costly, time consuming and error prone. Deterioration of Bleachability Index (DOBI) iS a key Indicator of palm oil quality. An alternative evaluation procedure that combines consistency and reporting accuracy is desirable. One such method is the use of fruit color as an indicator of palm oil quality. A recent study showed that fruit color was significantly correlated with palm oil content (Balasundram et al., 2006). An extension of that work further showed that fruit color was also significantly correlated with DOBI (Balasundram et al., 2006). Research Management Centre, Universiti Putra Malaysia 2007-12 Journal NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/662/1/synthesis_17-19.pdf Universiti Putra Malaysia, Research Management Centre (2007) A computerized digital imaging technique to estimate palm oil quality based on fruit colour. Synthesis: R&D Digest of Universiti Putra Malaysia, 17-19 . ISSN 0127-9394
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Typically palm oil quality is determined in a destructive manner using wet chemical analysis. Such an analysis can be costly, time consuming and error prone. Deterioration of Bleachability Index (DOBI) iS a key Indicator of palm oil quality. An alternative evaluation procedure that combines consistency and reporting accuracy is desirable. One such method is the use of fruit color as an indicator of palm oil quality. A recent study showed that fruit color was significantly correlated with palm oil content (Balasundram et al., 2006). An extension of that work further showed that fruit color was also significantly correlated with DOBI (Balasundram et al., 2006).
format Journal
author Universiti Putra Malaysia, Research Management Centre
spellingShingle Universiti Putra Malaysia, Research Management Centre
A computerized digital imaging technique to estimate palm oil quality based on fruit colour.
author_facet Universiti Putra Malaysia, Research Management Centre
author_sort Universiti Putra Malaysia, Research Management Centre
title A computerized digital imaging technique to estimate palm oil quality based on fruit colour.
title_short A computerized digital imaging technique to estimate palm oil quality based on fruit colour.
title_full A computerized digital imaging technique to estimate palm oil quality based on fruit colour.
title_fullStr A computerized digital imaging technique to estimate palm oil quality based on fruit colour.
title_full_unstemmed A computerized digital imaging technique to estimate palm oil quality based on fruit colour.
title_sort computerized digital imaging technique to estimate palm oil quality based on fruit colour.
publisher Research Management Centre, Universiti Putra Malaysia
publishDate 2007
url http://psasir.upm.edu.my/id/eprint/662/1/synthesis_17-19.pdf
http://psasir.upm.edu.my/id/eprint/662/
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score 13.214268