The evaluation of the usefulness of textures from cross-section images obtained using a digital camera and a flatbed scanner for cultivar discrimination of quince (Cydonia oblonga Mill.)-Reference-Cited by-同舟云学术

The evaluation of the usefulness of textures from cross-section images obtained using a digital camera and a flatbed scanner for cultivar discrimination of quince (Cydonia oblonga Mill.)

Published:2022-01 Issue: Volume:131 Page:108447
ISSN:0956-7135
Container-title:Food Control
language:en
Short-container-title:Food Control

Author:

Ropelewska Ewa^ORCID,Mieszczakowska-Frąc Monika^ORCID,Kruczyńska Dorota^ORCID

Funder

Ministry of Agriculture and Rural Development

Publisher

Elsevier BV

Subject

Food Science,Biotechnology

Reference42 articles.

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3. Using of artificial intelligence and image texture to estimate desiccation rate of quince fruit;Bakhshipour;Technologies in Journal of Engineering in Applied Science,2013

4. Improved microsatellite markers for quince (Cydonia oblonga) genetic analysis;Bassil;Acta Horticulturae,2015

5. Phenolic profile and physicochemical characterization of quince (Cydonia oblonga Mill) fruits at different maturity index;Blanda;Notulae Botanicae Horti Agrobotanici Cluj-Napoca,2020

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