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...

Full description

Bibliographic Details
Main Author: Universiti Putra Malaysia, Research Management Centre
Format: Journal
Language:English
Published: Research Management Centre, Universiti Putra Malaysia 2007
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/662/
http://psasir.upm.edu.my/id/eprint/662/1/synthesis_17-19.pdf
_version_ 1848838833646338048
author Universiti Putra Malaysia, Research Management Centre
author_facet Universiti Putra Malaysia, Research Management Centre
author_sort Universiti Putra Malaysia, Research Management Centre
building UPM Institutional Repository
collection Online Access
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).
first_indexed 2025-11-15T07:01:50Z
format Journal
id upm-662
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T07:01:50Z
publishDate 2007
publisher Research Management Centre, Universiti Putra Malaysia
recordtype eprints
repository_type Digital Repository
spelling upm-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 Research
spellingShingle Research
Universiti Putra Malaysia, Research Management Centre
A computerized digital imaging technique to estimate palm oil quality based on fruit colour.
title 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_short 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.
topic Research
url http://psasir.upm.edu.my/id/eprint/662/
http://psasir.upm.edu.my/id/eprint/662/1/synthesis_17-19.pdf