Quality Evaluation of Fruits using Image Processing

Abstract

In agriculture science, automation increases the quality, economic growth and newlineproductivity of the country. The export market and quality evaluation are affected by newlineassorting of fruits and vegetables. The crucial sensory characteristic of fruits and newlinevegetables is appearance that impacts their market value, the consumer s preference newlineand choice. Although, the sorting and grading can be done by human but it is newlineinconsistent, time consuming, variable, subjective, onerous, expensive and easily newlineinfluenced by surrounding. Hence, an astute fruit grading system is needed. newlineIn recent years, various algorithms for sorting and grading are done by various newlineresearchers using computer vision. This work presents a detailed overview of various newlinemethods i.e. preprocessing, segmentation, feature extraction, classification which newlineaddressed fruits and vegetables quality based on color, texture, size, shape and defects. newlineA critical comparison of different algorithm proposed by researchers for quality newlineinspection of fruits and vegetables has been carried out in this thesis. newline