Homepage
Русская версия
 Program Systems: 
Theory and Applications
 ISSN 2079-3316
12+ 
Bilingual electronic scientific Electronic scientific journal of the Ailamazyan Program System Institute of the Ailamazyan PSI of PSI of Russian Academy of Science of RAS
Volume 14 (2023) . Issue 3 (58) . Paper No. 2 (428)

Artificial intelligence and machine learning

Research Article
DOIDigital Object Identifier 10.25209/2079-3316-2023-14-3-37-58

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

Alexandr Vladimirovich Smirnov1, Egor Sergeevich Ivanov2Correspondent author

Ailamazyan Program Systems Institute of RAS, Ves'kovo, Russia
2 Egor Sergeevich Ivanov — Correspondent author egor.s.ivanov@gmail.com

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).

Keywords: Image analysis, plant crown determination, color space, computer vision, plant state evaluation, automated plant care, accuracy evaluation

MSC-20202020 Mathematics Subject Classification 68U10; 68T40MSC-2020 68-XX: Computer science MSC-2020 68Uxx: Computing methodologies and applications MSC-2020 68U10: Computing methodologies for image processing MSC-2020 68Txx: Artificial intelligence MSC-2020 68T40: Artificial intelligence for robotics

For citation: Alexandr V. Smirnov, Egor 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, 2023, 14:3, pp. 37–58. (In Russ.). https://psta.psiras.ru/2023/3_37-58.

Full text of article (PDF): https://psta.psiras.ru/read/psta2023_3_37-58.pdf.

The article was submitted 19.05.2023; approved after reviewing 22.06.2023; accepted for publication 29.08.2023; published online 13.09.2023.

© Smirnov A. V., Ivanov E. S.
2023
Editorial address: Ailamazyan Program Systems Institute of the Russian Academy of Sciences, Peter the First Street 4«a», Veskovo village, Pereslavl area, Yaroslavl region, 152021 Russia; Phone: +7(4852) 695-228; E-mail: ; Website:  http://psta.psiras.ru
© Ailamazyan Program System Institute of Russian Academy of Science (site design) 2010–2024 The text of CC-BY-4.0 license