| Issue |
E3S Web Conf.
Volume 132, 2019
XXII International Scientific Conference POLSITA 2019 “Progress of mechanical engineering supported by information technology”
|
|
|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 8 | |
| Section | Engineering and Technology | |
| DOI | https://doi.org/10.1051/e3sconf/201913201026 | |
| Published online | 22 November 2019 | |
The use of vision techniques for the evaluation of selected quality parameters of maize grain during storage
Chair of Biosystem Engineering, Opole University of Technology, Prószkowska 76, Opole, Poland
The paper presents an innovative method based on vision techniques for rapid assessment of contamination in the mass of stored maize grain. The research was carried out in a selected grain warehouse in the Opolskie Province. Maize grain was used in the studies, which was subjected to tests based on computer image analysis. To assess the state of maize grain contamination, a proprietary computer application based on the RGB model was used.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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