Mango known to a national fruit of India , its leaves are exorbitantly affected by various nutrient deficiencies like nitrogen,iron,potassium and copper. These nutrients can change the natural color of mango leaves. Such leaves are considered to be deficient.The main purpose of this work is to detect various nutrient deficiencies of mango leaves.Initially a data set is created by extracting the different features of mango leaves using digital image processing. The extracted featues  include the RGB values and the texture of the leaves.This dataset is then used in the unsupervised machine learning model like clustering to cluster the various deficiencies which will help in further detection.