Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds

Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds

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 an...

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Main Author: Szwedziak Katarzyna
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/58/e3sconf_polsita2019_01027.pdf
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spelling doaj-f4280d93c39c454a9f34753440828a0f2021-03-02T09:16:50ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011320102710.1051/e3sconf/201913201027e3sconf_polsita2019_01027Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seedsSzwedziak Katarzyna0Chair of Biosystem Engineering, Opole University of TechnologyThe 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/58/e3sconf_polsita2019_01027.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Szwedziak Katarzyna
spellingShingle Szwedziak Katarzyna
Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds
E3S Web of Conferences
author_facet Szwedziak Katarzyna
author_sort Szwedziak Katarzyna
title Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds
title_short Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds
title_full Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds
title_fullStr Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds
title_full_unstemmed Artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds
title_sort artificial neural networks and computer image analysis in the evaluation of selected quality parameters of pea seeds
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description 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.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/58/e3sconf_polsita2019_01027.pdf
work_keys_str_mv AT szwedziakkatarzyna artificialneuralnetworksandcomputerimageanalysisintheevaluationofselectedqualityparametersofpeaseeds
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