Possibilities of automatic assessment of the vitreous nature of wheat and linear characteristics of grain (seeds) by digital image analysis
https://doi.org/10.32634/0869-8155-2020-338-5-87-90
Abstract
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.
About the Authors
T. S. Rutkovskaya
FSBSI AFI
Russian Federation
Russian Federation
Tatyana S. Rutkovskaya, applicant
14, Grazhdansky prospekt, St. Petersburg
R. Yu. Antonov
EKAN LLC
Russian Federation
Russian Federation
Roman Yu. Antonov, Research Engineer
22, Polytechnicheskaya str., St. Petersburg
G. P. Petrov
EKAN LLC
Russian Federation
Russian Federation
Gennady P. Petrov, doctor of technical sciences, professor, Director
22, Polytechnicheskaya str., St. Petersburg
References
1. State Standard 9353-2016. Wheat. Specifications. Moscow: Standartinform Publ., 2019. (In Russ.)
2. State Standard 10987-76. Grain. Methods for determination of vitreousness. Moscow: IPC Publ., 2001. (In Russ.)
3. Steinberg, T.S., Morozova O.V., Semikina L.I., Amatuni A.L. A method of analyzing a digital image of grain to its quality determination. Storage and processing of agricultural materials. 2014;(310):47-51. (In Russ.)
4. Makrushin N.M., Babitsky L.F., Klitsenko O.A., Makrushina E.M., Eskova O.V., Klitsenko G.G., Shabanov R.Yu., Mishchuk S.A. Innovative principles of assessment and selection of biologically valuable seed. Transactions of the Kuban State Agrarian University. 2015;(54):371-376. (In Russ.)
Review
For citations:
Rutkovskaya T.S., Antonov R.Yu., Petrov G.P. Possibilities of automatic assessment of the vitreous nature of wheat and linear characteristics of grain (seeds) by digital image analysis. Agrarian science. 2020;(5):87-90. (In Russ.) https://doi.org/10.32634/0869-8155-2020-338-5-87-90
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