UNSUPERVISED LEARNING FOR RIPENESS ESTIMATION FROM GRAPE SEEDS IMAGES
نویسندگان
چکیده
منابع مشابه
Unsupervised Learning for Ripeness Estimation from Grape Seeds Images
Estimating the current stage of grape ripeness is a crucial step in wine making and becomes especially important during harvesting. Visual inspection of grape seeds is one method to achieve this goal without performing chemical analysis, however this method is prone to failure. In this paper, we propose an unsupervised visual inspection system for grape ripeness estimation using the Dirichlet M...
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A wide variety of phytochemicals, mostly flavonoids or polyphenolics, have been shown to possess anticarcinogenic activities. Among these are the grape seed proanthocyanidins (GSPs), which are the active ingredients of grape seed extract (GSE). Substantial in vitro and preclinical in vivo studies have shown the chemopreventive efficacy of GSPs against various forms of cancers in different tumor...
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ژورنال
عنوان ژورنال: International Journal on Smart Sensing and Intelligent Systems
سال: 2017
ISSN: 1178-5608
DOI: 10.21307/ijssis-2017-225