Kavita Komal et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.7, July- 2019, pg. 161-166 © 2019, IJCSMC All Rights Reserved 161 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IMPACT FACTOR: 6.199 IJCSMC, Vol. 8, Issue. 7, July 2019, pg.161 – 166 Fruit Quality Assessment Techniques: A Review Kavita Komal M.Tech Scholar Kavitakomal1994@gmail.com Punjabi University Patiala Dr. Sonia Goyal Assistant Professor ergoyalsonia@gmail.com Punjabi University Patiala Abstract: The technique used for the improvement of unprocessed or raw pictures is known as image processing. The raw images or pictures can be obtained from the cameras deployed on aircrafts, space shuttle, satellites or the images captured in daily routine for numerous objectives. A number of image processing methods have been developed in the last few years. The fruit quality assessment is the application of image processing and machine learning. The fruit quality assessment techniques have various phases like pre-processing, segmentation and classification. In this paper, various fruit quality assessment techniques are reviewed in terms of certain parameters Keywords: Quality assessment, Segmentation, Classification Introduction The technique used for the improvement of unprocessed or raw pictures is known as image processing. The raw images or pictures can be obtained from the cameras deployed on aircrafts, space shuttle, satellites or the images captured in daily routine for numerous objectives. A number of image processing methods have been developed in the last few years [1]. Various approaches explored for image processing are acquired from armed forces’ scouting flights, interplanetary explorers and rockets. Some factors like effortless accessibility of prevailing personnel processors, big dimensional reminiscence equipments, and graphic software etc play a fundamental role in the popularity of image processing techniques. This technique finds its usefulness in various areas like publishing business; article dispensation, armed forces, forensic Studies, explicit sculptures, film business, non-destructive assessment, fabric discipline and medical Imaging. Image scanning, image storing, image improvement and image elucidation are the general phases involved in image or picture processing. The image processing is mainly of two types [2]. These types are analog image processing and digital image processing. In analog picture processing, electrical methods are used to alter the picture. Different kinds of picture processing methods have been implemented in the last few years for analyzing the farming pictures like vegetables and fruits for acknowledgment and categorization causes. The scheme of fruit detection can be implemented in the form of picture text describer. This scheme comprises ability for the description of low level image characteristics or fruit picture’s contents. A number of techniques have been proposed for the detection and categorization of fruit pictures on the basis of color and shapes. The color and texture of various fruits depends on their growth. Color and texture are considered the primary quality of natural descriptions [3]. These factor also a play a significant character in image acuity. Though, dissimilar fruit images can have alike or equal color and shape standards. Therefore, color or shape characteristics scrutiny techniques are not vigorous and adequately