Comparative Analysis of Optical Methods for Detection and Identification of Viral Infection During Monitoring of Vegetati
The article discusses the issues of assessing the prospects for detecting latent viral infection for monitoring viral pathogens using digital processing of images obtained by an optical digital camera and hyperspectral images. Information on 13 types of viruses that have been registered in some regions where Syringa L. grows is provided. Data on the species composition of Syringa viruses in the ecosystems of the Main Botanical Garden and the Moscow region and their symptoms are described. Based on the virological examination, specialized pathogens Lilac ring mottle ilarvirus (LRMV), Lilac leaf chlorosis ilarvirus (LLCV), as well as Carnation mottle carmovirus, Cucumber mosaic cucumovirus, Alfalfa mosaic alfamovirus and Potato Y potyvirus, which are not typical for lilacs, were diagnosed on lilac. As a result of system monitoring, the frequency of occurrence of seven viruses was determined.
Tags: adaptivity monitoring ndvi phytoviruses pri rgb syringa l. адаптивность видовой состав мониторинг фитовирусы
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