Intelligent color vision system for ripeness classification of oil palm fresh fruit bunch

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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 …
Reference Key
n2012sensorsintelligent Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fadilah N;Mohamad-Saleh J;Abdul Halim Z;Ibrahim H;Syed Ali SS;;
Journal sensors
Year 2012
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/sites/entrez/23202043
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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