Open Access
| Issue |
BIO Web Conf.
Volume 236, 2026
72nd International Scientific Conference “FOOD SCIENCE, ENGINEERING AND TECHNOLOGY – 2025”
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 8 | |
| Section | Food Process Engineering | |
| DOI | https://doi.org/10.1051/bioconf/202623603005 | |
| Published online | 25 May 2026 | |
- A. Danev, A. Bosakova-Ardenska, R. Gabrova, & H. Andreeva, Automatic Evaluation Visual Characteristics of Corn Snacks Using Computer Vision. Engineering Proceedings, 104(1), 81, (2016) [Google Scholar]
- C. Yi; N. Qiang; H. Zhu; Q. Xiao; Li, Z. Extrusion processing: A strategy for improving the functional components, physicochemical properties, and health benefits of whole grains. Food Res. Int., 160, 111681. [CrossRef] [PubMed] (2022) [Google Scholar]
- J. Koji´c; M. Belovi´c; J. Krulj; L. Pezo; N. Tesli´c; P. Koji´c; L.P. Tukuljac; V. Šeregelj Ili´c, N. Textural, Color and Sensory Features of Spelt Wholegrain Snack Enriched with Betaine. Foods, 11, 475. [CrossRef] [PubMed], (2022) [Google Scholar]
- F.H. Fan; Q. Ma; J. Ge; Q.Y. Peng; W.R. William; S.Z. Tang, Prediction of texture characteristics from extrusion food surface images using a computer vision system and artificial neural networks. J. Food Eng., 118, 426–433. [CrossRef] (2013) [Google Scholar]
- M. Yizhou; J. Potappel; A. Chauhan; A.I.S. Maarten; R.M. Boom; L. Zhang, Improving 3D food printing performance using computer vision and feedforward nozzle motion control. J. Food Eng. 339, 111277. [Google Scholar] [CrossRef], (2023) [Google Scholar]
- Y. Chalamov, A. Simitchiev, V. Nenov, A. Danev, H. Andreeva, Effect of propeller use on residence time distribution (rtd) in single-screw cam- flow rice semolina extrusion, BIO Web Conf. 102 03003 (2024), DOI: 10.1051/bioconf/2024102030 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.