Distinguishing lacto-fermented and fresh carrot slice images using the Multilayer Perceptron neural network and other machine learning algorithms from the groups of Functions, Meta, Trees, Lazy, Bayes and Rules-Reference-Cited by-同舟云学术

Distinguishing lacto-fermented and fresh carrot slice images using the Multilayer Perceptron neural network and other machine learning algorithms from the groups of Functions, Meta, Trees, Lazy, Bayes and Rules

Published:2022-06-09 Issue:9 Volume:248 Page:2421-2429
ISSN:1438-2377
Container-title:European Food Research and Technology
language:en
Short-container-title:Eur Food Res Technol

Author:

Ropelewska Ewa^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Biochemistry,General Chemistry,Food Science,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s00217-022-04057-0.pdf

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4. Ou C, Sun T, Liu X, Li C, Li M, Wang X, Ren H, Zhao Z, Zhuang F (2022) Detection of chromosomal segments introgressed from wild species of carrot into cultivars: quantitative trait loci mapping for morphological features in backcross inbred lines. Plants 11:391

5. Pereira-Caro G, Ordóñez-Díaz JL, de Santiago E, Moreno-Ortega A, Cáceres-Jiménez S, Sánchez-Parra M, Roldán-Guerra FJ, Ortiz-Somovilla V, Moreno-Rojas JM (2021) Antioxidant activity and bio-accessibility of polyphenols in black carrot (Daucus carota L. ssp. sativus var. atrorubens Alef.) and two derived products during simulated gastrointestinal digestion and colonic fermentation. Foods 10:457

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