@article {502,
	title = {Improvement of Immune System Analyzed through Various Cluster Techniques {\textendash} A Survey},
	journal = {Pharmacog Journal},
	volume = {10},
	year = {2018},
	month = {January-2018},
	pages = {256-259},
	type = {Original Article},
	chapter = {256},
	abstract = {<p style="text-align: justify;">The world health organization report says the immunity deficiency is the biggest problem in the all over the world. Immune system can be improved through many fruits, especially grape is inevitable fruit that provides high neutrinos. The grape contains phytonutrients, Phenols and Poly phenols in rich amount. It is used for constipation, indigestion, fatigueless, kidney disorder, Macular degeneration and cataracts. The grape seed reduces swelling, Eye disease caused by diabetics and acting as antioxidants. In the research article, plenty number of classifiers were used to identify good type of grapes that provides the above said. The methodology applied in the work were Ada Boost and Machine learning Meta algorithm. The above areas were reviewed to the core.</p>},
	keywords = {Ada boost classifier, Color components, Grape detection, Immune systems, Phytonutrients, Segmentation techniques},
	doi = {10.5530/pj.2018.2.45},
	url = {http://fulltxt.org/article/475},
	author = {M Veronica Arokia Mary and K R Sekar and R Manikandan and K S Ravichandran}
}
