Random Detection of Anthracnose of Mango by Differential Clustering

Abstract

Mango anthracnose is an infection caused by the ubiquitous fungus Colletotrichum gloeosporioides. It is the anamorphic stage (asexual stage of the pathogenic fungus).C. gloeosporiodesis responsible for many diseases, also referred to as "anthracnose,” on many tropical fruits including banana, avocado, papaya, coffee, passion fruit, and others. Ripe fruits affected by anthracnose develop sunken, prominent, dark brown to black decay spots before or after picking. Fruits may drop from trees prematurely.The fruit spots can and usually do coalesce and can eventually penetrate deep into the fruit, resulting in extensive fruit rotting. Most green fruit infections remain latent and largely invisible until ripening.So detection of the infected areas of the plant leads to early analysis and elimination of disease spread and saves the plant from disease spread. Proposed scheme uses a novel approach to detect the infected areas of the plant by segmenting the plant leaves by clustering. K-means clustering is performed for different cluster centres to obtain different cluster groups of the region of interest (ROI).