Case studies of soft computing techniques used for quality grading of Food products

Shetty, Dasharathraj K and Acharya, Dinesh U and Arun, Akash (2015) Case studies of soft computing techniques used for quality grading of Food products. In: VBFoodNet 2015 Conference, Nha Trang University,Vietnam.

[img] PDF
CASE STUDIES OF SOFT COMPUTING TECHNIQUES USED FOR QUALITY GRADING OF FOOD PRODUCTS.pdf - Published Version
Restricted to Registered users only

Download (466kB) | Request a copy

Abstract

Quality Grading is a pre-requisite for making any agricultural commodity marketable. In the food processing industry, there are many parameters to be considered when deciding whether a certain food product meets the required standards. Generally, these quality parameters include visual and olfactory factors. For quality grading the parameters related to quality has to be first extracted from the food products being analyzed and this extracted parameters maybe in the form of images, sound or chemical readings. This extracted information is then compared with the set of defined standards. If the quality parameters extracted fall within the range specified by the quality standards, then the given food product maybe classified as marketable. This paper discusses the various case studies of image processing and soft-computing tools used in the in the field of Food Processing Industry. This outcome of this survey will help in building models which can further help in automating the inspection of food products. Automation of this inspection will help in scaling up the inspection operations and decreasing the human error which may creep in if inspection is carried out manually

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 14 Jan 2016 10:19
Last Modified: 14 Jan 2016 10:19
URI: http://eprints.manipal.edu/id/eprint/145070

Actions (login required)

View Item View Item