Translator Disclaimer
14 August 2019 Application of neural modelling methods in the evaluation of the quality of pork half-carcasses
Author Affiliations +
Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 1117940 (2019) https://doi.org/10.1117/12.2539781
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
Abstract
The paper concerns the implementation of research task no. 4 of the PBS3/B8/26/2015 project, the aim of which was to create models of artificial neural networks determining the meat of pork half-carcasses. As a result, thanks to threedimensional scans of the examined half-carcasses, the characteristic cross-section of half-carcasses was determined and the parameters necessary to determine the meatiness were defined. The neon model realizing this task was RBF 9:9-25- 1:1 network, which for the cross-section of 89 was characterized by test quality 0,9887 and RMSE error 0,1556. The work carried out allowed for the development of an algorithm approved by the European Commission on 11 February 2019 np. 2019/252 and the production of devices ESTIMEAT and MEAT3D
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Zaborowicz, D. Lisiak, K. Koszela, P. Boniecki, S. Kujawa, W. Mueller, Ł. Gierz, K. Przybył, and P. Ślósarz "Application of neural modelling methods in the evaluation of the quality of pork half-carcasses", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117940 (14 August 2019); https://doi.org/10.1117/12.2539781
PROCEEDINGS
5 PAGES


SHARE
Advertisement
Advertisement
Back to Top