E3S Web Conf.
Volume 132, 2019XXII International Scientific Conference POLSITA 2019 “Progress of mechanical engineering supported by information technology”
|Number of page(s)||7|
|Section||Engineering and Technology|
|Published online||22 November 2019|
Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds
Chair of Biosystem Engineering, Opole University of Technology, 76 Prószkowska Street, Opole, Poland
The aim of the study was to develop an innovative method of modelling the process of evaluating the quality of agricultural crops on the basis of computer image analysis and artificial neural networks (ANN). It was therefore assumed that on the basis of the prepared application for processing and analysing the acquired digital images, based on the RGB colour recognition model, a quick and good method of assessing the quality of products would be obtained. An experiment was conducted on the evaluation of selected parameters of pea seeds quality using computer image analysis and the obtained results were verified by artificial neural networks using the geostatic function.
© 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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