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Program Systems: Theory and Applications, 2023, Volume 14, Issue 3, Pages 37–58
DOI: https://doi.org/10.25209/2079-3316-2023-14-3-37-58 (Mi ps424) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Artificial intelligence and machine learning

Analysis of images of a plant obtained from a camera of an automated care system to visually assess the change in its state over time

A. V. Smirnov, E. S. Ivanov

Ailamazyan Program Systems Institute of RAS, Ves'kovo, Russia
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DOI: https://doi.org/10.25209/2079-3316-2023-14-3-37-58
Abstract: A method is proposed for analyzing plant images obtained from a single camera to determine the crown of a plant and detect its individual color shades. The possibility of visual assessment of the state of plants is considered. A description is given of the experimental installation for automated plant care, with the help of which the analyzed data were collected. (In Russian).
Key words and phrases: Image analysis, plant crown determination, color space, computer vision, plant state evaluation, automated plant care, accuracy evaluation.
Received: 19.05.2023
Accepted: 29.08.2023
Document Type: Article
UDC: 528.854: 004.932.2
BBC: 32.813.52
MSC: Primary 68U10; Secondary 68T40
Language: Russian
Citation: A. V. Smirnov, E. S. Ivanov, “Analysis of images of a plant obtained from a camera of an automated care system to visually assess the change in its state over time”, Program Systems: Theory and Applications, 14:3 (2023), 37–58
Citation in format AMSBIB
\Bibitem{SmiIva23}
\by A.~V.~Smirnov, E.~S.~Ivanov
\paper Analysis of images of a plant obtained from a camera
of an automated care system to visually assess the
change in its state over time
\jour Program Systems: Theory and Applications
\yr 2023
\vol 14
\issue 3
\pages 37--58
\mathnet{http://mi.mathnet.ru/ps424}
\crossref{https://doi.org/10.25209/2079-3316-2023-14-3-37-58}
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    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    		Program Systems: Theory and Applications
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