Possibilities of automatic assessment of the vitreous nature of wheat and linear characteristics of grain (seeds) by digital image analysis

Autor:	R. Yu. Antonov, T. S. Rutkovskaya, G. P. Petrov
Rok vydání:	2020
Předmět:	Digital image Data processing Computer science business.industry Organoleptic Digital image analysis Stability (learning theory) Aerospace Engineering Pattern recognition Relevance (information retrieval) Artificial intelligence business Sample (graphics)
Zdroj:	Agrarian science. :87-90
ISSN:	2686-701X 0869-8155
DOI:	10.32634/0869-8155-2020-338-5-87-90
Popis:	Relevance and methods. The article considers the possibility of using the analysis of digital images for a comprehensive assessment of the physical characteristics of grain: vitreous and linear dimensions.Results. A comparative characteristic of instrumental and organoleptic methods for determining these indicators by the following criteria is given: stability of results, speed of measurements and data processing. An algorithm has been developed that combines the ability to programmatically determine glassiness and linear dimensions of wheat grains based on their digital images. A relationship was found between an increase in the vitreous nature of the sample and an increase in the stability of the results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::95cd177ee6f7eafb5b8e5064c3d97aa8 https://doi.org/10.32634/0869-8155-2020-338-5-87-90 Zobrazit plný text záznamu