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...
| Main Author: | |
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| Format: | Journal |
| Language: | English |
| Published: |
Research Management Centre, Universiti Putra Malaysia
2007
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| Online Access: | http://psasir.upm.edu.my/id/eprint/662/1/synthesis_17-19.pdf |
| _version_ | 1825943245116407808 |
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| author | Universiti Putra Malaysia, Research Management Centre |
| author_facet | Universiti Putra Malaysia, Research Management Centre |
| author_sort | Universiti Putra Malaysia, Research Management Centre |
| collection | UPM |
| 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 | 2024-03-06T06:53:48Z |
| format | Journal |
| id | upm.eprints-662 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T06:53:48Z |
| publishDate | 2007 |
| publisher | Research Management Centre, Universiti Putra Malaysia |
| record_format | dspace |
| spelling | 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 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/662/1/synthesis_17-19.pdf |
| work_keys_str_mv | AT universitiputramalaysiaresearchmanagementcentre acomputerizeddigitalimagingtechniquetoestimatepalmoilqualitybasedonfruitcolour AT universitiputramalaysiaresearchmanagementcentre computerizeddigitalimagingtechniquetoestimatepalmoilqualitybasedonfruitcolour |