Assessing traits in bread using image analysis and machine learning.
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| Title: | Assessing traits in bread using image analysis and machine learning. |
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| Authors: | Azmat M; Centro Singular de Investigación en Tecnoloxías Intelixentes da USC (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain., García-Gómez MB; Areas of Nutrition and Food Science and Food Technology, Department of Analytical Chemistry and Food Science, Faculty of Science, University of Santiago de Compostela, Lugo, 27002, Spain; Instituto de Biodiversidade Agraria e Desenvolvemento Rural (IBADER), Campus Terra, University of Santiago de Compostela, Lugo, 27002, Spain., Cernadas E; Centro Singular de Investigación en Tecnoloxías Intelixentes da USC (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain. Electronic address: eva.cernadas@usc.es., Fernández-Delgado M; Centro Singular de Investigación en Tecnoloxías Intelixentes da USC (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain. Electronic address: manuel.fernandez.delgado@usc.es., Quiroga-García M; TASTELAB S.L., Vázquez Seijas, No. 2, Lugo, 27002, Spain. Electronic address: maruxaquiroga@sensesbit.com., Romero-Rodríguez MA; Areas of Nutrition and Food Science and Food Technology, Department of Analytical Chemistry and Food Science, Faculty of Science, University of Santiago de Compostela, Lugo, 27002, Spain; Instituto de Biodiversidade Agraria e Desenvolvemento Rural (IBADER), Campus Terra, University of Santiago de Compostela, Lugo, 27002, Spain. Electronic address: angeles.romero@usc.es. |
| Source: | Food research international (Ottawa, Ont.) [Food Res Int] 2026 Jul 01; Vol. 235, pp. 119131. Date of Electronic Publication: 2026 Apr 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Published on behalf of the Canadian Institute of Food Science and Technology by Elsevier Applied Science Country of Publication: Canada NLM ID: 9210143 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7145 (Electronic) Linking ISSN: 09639969 NLM ISO Abbreviation: Food Res Int Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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