Abstract
Lycopene content is the most important antioxidant in tomatoes by the use in the cancer prevention. It was developed a portable system based in image processing and CIE L* a* b* color analysis, with the capability to sort tomato samples according to six ripeness grades and estimate lycopene content in mg/kg with a correlation coefficient of 0.99 and 0.98 respectively. This study shows that the image processing method is an attractive quantitative method for ripeness grade and lycopene content in tomatoes in a non-invasive assay.
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