I. Introduction
Indian market ranks second in fruits production in the world. The fruit production of India is 81.285 million metric tons [1]. The immense production of fruit offers India remarkable opportunities for export. During 2014–15 India disseminated fruits of worth Rs. 2771.32 crores [1]. Therefore an effective and improved system is necessary to full fill the demand for agriculture industry. The proposed system will help agriculture industry for quality fruit detection and descriptor as it is robust, accurate and having fast response. The proposed system is used to identify the external disease of fruit based on the external property of the fruit such as shape, size and color. Speeded up robust feature a technique is used to extract the local features of fruits and its description [2], [3]. Manual computation will take lots of time and are inaccurate but our system will take less time with precise result. Occlusion of fruits by other fruits and leaves are also detected correctly. Based on shape, size, color, and texture of the fruit defected fruits are identified. The system subtracts the input image with the defect classified image and based on this fruit quality is revealed. Once the fruit is individualised, the following parameters are calculated using the information extracted from the boundaries such as: centroid, maximum and minimum diameter, surface, perimeter and circularity. Several experiments are carried out to test the accuracy of the system.