Prediction of fish quality level with machine learning-Reference-Cited by-同舟云学术

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Prediction of fish quality level with machine learning

Published:2022-06-09 Issue:8 Volume:57 Page:5250-5255
ISSN:0950-5423
Container-title:International Journal of Food Science & Technology
language:en
Short-container-title:Int J of Food Sci Tech

Author:

Yavuzer Emre¹^ORCID,Köse Memduh²

Affiliation:

1. Department of Food Engineering, Faculty of Engineering and Architecture Kırşehir Ahi Evran University 40100 Kırşehir Turkey

2. Department of Electrical Electronics Engineering, Faculty of Engineering and Architecture Kırşehir Ahi Evran University 40100 Kırşehir Turkey

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijfs.15853

Reference24 articles.

1. Effect of the icing with thyme, oregano and clove extracts on quality parameters of gutted and beheaded anchovy (Engraulis encrasicholus) during chilled storage

2. Essential oil composition, antimicrobial and antioxidant properties of Mosla chinensis Maxim

3. Eggshell crack detection using a wavelet-based support vector machine

4. Major orthogonal dimensions measurement of food grains by machine vision using ImageJ

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1. Towards the development of foods 3D printer: Trends and technologies for foods printing;Heliyon;2024-07

2. Determining the quality level of ready to-eat stuffed mussels with Arduino-based electronic nose;Journal of Food Measurement and Characterization;2024-05-21

3. Assessing nutritional probing and storage stability of functional Aloe vera (Aloe barbadensis) based guava jam: a machine learning approach for predictive modelling;International Journal of Food Science & Technology;2024-05-17

4. AI-based additive manufacturing for future food: Potential applications, challenges and possible solutions;Innovative Food Science & Emerging Technologies;2024-03

5. Tilapia Fish Freshness Detection Using CNN Models;Communications in Computer and Information Science;2024

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