A Framework for Quality Evaluation of Edible Nuts Using Computer Vision and Soft Computing Techniques

V. G. Narendra, G. Shiva Prasad, Ancilla J. Pinto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Generally, humans use edible nuts as food (edible oils, condiments, spices, or drinks) since prehistoric times. The foods are high in protein, minerals, vitamins, and energy so-called as nutrition for human foods. The requirement for precise, quick, and unbiased quality determination of these features increases with increasing demands of decent quality and safety requirements for food products. To satisfy these criteria, digital perception and soft computing provide alternatives to an adaptive, non-destructive, and economical approach. This study has identified a wide range of applications in the food industry, based on image analysis and processing. The consistency study of meat and seafood, bakery food like bread, pizza, cheese, and biscuits was conducted effectively in computer vision and soft computing. This study has been tested on the quality and characteristics of edible nuts.

Original languageEnglish
Title of host publicationProceedings of 6th International Conference on Harmony Search, Soft Computing and Applications - ICHSA 2020
EditorsSinan Melih Nigdeli, Gebrail Bekdas, Joong Hoon Kim, Anupam Yadav
PublisherSpringer Science and Business Media Deutschland GmbH
Pages339-348
Number of pages10
ISBN (Print)9789811586026
DOIs
Publication statusPublished - 2021
Event6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020 - Istanbul, Turkey
Duration: 22-04-202024-04-2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1275
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020
CountryTurkey
CityIstanbul
Period22-04-2024-04-20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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