Vision-based assessment of viability of acorns using sections of their cotyledons during automated scarification procedure
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Mirosław Jabłoński
,
Adam Piłat
Abstract
The goal of the research described in the article was to develop the device for the automatic scarification of acorns and computer vision-based assessment of their viability. The color image of the intersection of the tissue of cotyledons was selected as a key feature for separating healthy seeds from the spoiled ones. Because the device is being designed for the diagnosis of high volume of seeds aiming at producing high-quality seedlings, several assessment criteria of the overall design of the automaton are being assessed. The basic one is the overall accuracy of viability recognition. The other refers to particular functions implemented in the model of the device being described.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: The work presented was supported by the National Centre of Research and Development of Republic of Poland under the project “Functional model of automaton, comprising machine vision system, for scarification and assessment of acorn viability by means of automatic recognition of topography of mummification changes” (Grant No. PBS3/A8/134/2015).
Employment or leadership: None declared.
Honorarium: None declared.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
References
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©2018 Walter de Gruyter GmbH, Berlin/Boston
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- Creating and validating e-cases as educational tools in general practitioners’ continuing medical education context
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- Opinion Paper
- Missing data in open-data era – a barrier to multiomics integration
