ArticleViewAbstractPharmacog Journal,2018,10,2,256-259.DOI:10.5530/pj.2018.2.45Published:January-2018Type:Original ArticleImprovement of Immune System Analyzed through Various Cluster Techniques – A SurveyM Veronica Arokia Mary, K R Sekar, R Manikandan, and K S Ravichandran M Veronica Arokia Mary, K R Sekar, R Manikandan, K S Ravichandran School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, INDIA.Abstract: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. Keywords:Ada boost classifier, Color components, Grape detection, Immune systems, Phytonutrients, Segmentation techniquesView:PDF (238.65 KB) Full Text PDF Images Diagrammatic representation for RGB Color Spaces. ‹ Pharmacognostic Studies of Psychotria rubra(Lour.)Poir. up A Comparative study on Internet Of Things (IoT) and its applications in Smart Agriculture ›