Intelligent color vision system for ripeness classification of oil palm fresh fruit bunch
Clicks: 304
ID: 113231
2012
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Abstract
Ripeness classification of oil palm fresh fruit bunches (FFBs) during harvesting is important to ensure that they are harvested during optimum stage for maximum oil production. This paper presents the application of color vision for automated ripeness classification of oil palm FFB. Images of oil pa …
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n2012sensorsintelligent
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| Authors | Fadilah N;Mohamad-Saleh J;Abdul Halim Z;Ibrahim H;Syed Ali SS;; |
| Journal | sensors |
| Year | 2012 |
| DOI |
DOI not found
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| URL | |
| Keywords |
neural networks
image processing
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
pubmed abstract
nih
national institutes of health
national library of medicine
computer*
research support
non-u.s. gov't
pattern recognition
automated / methods*
principal component analysis
computer-assisted / methods
pmid:23202043
pmc3545614
doi:10.3390/s121014179
norasyikin fadilah
junita mohamad-saleh
syed salim syed ali
agriculture / instrumentation
arecaceae*
color
food handling / instrumentation
food industry / instrumentation
fruit / classification*
palm oil
plant oils
|
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