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Computer vision methods and algorithms for automatic detection and classification of objects in decision support systems in agriculture : доклад, тезисы доклада

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: X International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-X 2024); Termez, Uzbekistan; Termez, Uzbekistan

Год издания: 2024

Идентификатор DOI: 10.1051/e3sconf/202454803023

Аннотация: <jats:p>The paper examines aspects of developing and formalizing the task of applying computer vision methods and algorithms using OpenCV (implemented in Python version 3.13 notation) for automatic detection and classification of objects in decision support systems. A software implementation of a modular example is provided, enabliПоказать полностьюng automatic detection and classification for the detection of plant diseases based on their external characteristics in decision support systems in agriculture. This approach will facilitate prompt response to plant diseases and the implementation of necessary measures for their treatment.</jats:p>

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Издание

Журнал: E3S WEB OF CONFERENCES

Выпуск журнала: 548

Номера страниц: 03023

Место издания: Les Ulis

Персоны

  • Yablokova Alena (Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia)
  • Kovalev Igor (Siberian Federal University, Krasnoyarsk, Russia)
  • Kovalev Dmitry (National Research University «Tashkent Institute of Irrigation and Agricultural Mechanization Engineers", Tashkent, Uzbekistan)
  • Podoplelova Valeria (Sochi State University, Sochi, Russia)
  • Kobilova Aziza (Bukhara State University, Bukhara, Uzbekistan)

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