TY - GEN
T1 - A Framework for Quality Evaluation of Edible Nuts Using Computer Vision and Soft Computing Techniques
AU - Narendra, V. G.
AU - Prasad, G. Shiva
AU - Pinto, Ancilla J.
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85097058489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85097058489&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-8603-3_30
DO - 10.1007/978-981-15-8603-3_30
M3 - Conference contribution
AN - SCOPUS:85097058489
SN - 9789811586026
T3 - Advances in Intelligent Systems and Computing
SP - 339
EP - 348
BT - Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications - ICHSA 2020
A2 - Nigdeli, Sinan Melih
A2 - Bekdas, Gebrail
A2 - Kim, Joong Hoon
A2 - Yadav, Anupam
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020
Y2 - 22 April 2020 through 24 April 2020
ER -