Contemporary Study on Citrus Disease Classification System

Abstract

Machine vision systems enable many applications in all important fields of life like medical healthcare, agriculture, fruit and vegetable industry, etc. One of the application fields is disease detection of fruit. The disease identification of fruits is a critical issue and advanced automatic detection systems need to be developed. In the recent years, image processing techniques have been employed for the quality evaluation of the fruits. This paper presents the current advancement in image processing techniques used by the disease recognition system of the citrus fruits. In past few years, different approaches are applied for grading the citrus fruits using machine vision system. The paper presents the overview of different techniques like pre-processing, segmentation, and classification that is used by the disease detection system of citrus fruits. This paper also presents the detailed description of the different state of art disease detection system proposed by the researcher for attending identifying the disease present in citrus fruit. The detailed survey of the disease detection technique present in citrus fruit has been presented to investigate the usage of recent approaches employed in machine vision systems.