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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/52681
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dc.contributor.authorDmitriev, P. A.-
dc.contributor.authorKozlovsky, B. L.-
dc.contributor.authorKupriushkin, D. P.-
dc.contributor.authorDmitrieva, A. A.-
dc.contributor.authorTokhtar, V. K.-
dc.date.accessioned2023-04-10T07:36:32Z-
dc.date.available2023-04-10T07:36:32Z-
dc.date.issued2022-
dc.identifier.citationAssessment of invasive and weed species by hyperspectral imagery in agrocenoses ecosystem / P.A. Dmitriev [et al.] // Remote sensing. - 2022. - Vol.14, №10.-Art. 2442. - Doi: 10.3390/rs14102442. - URL: https://www.mdpi.com/2072-4292/14/10/2442.ru
dc.identifier.urihttp://dspace.bsu.edu.ru/handle/123456789/52681-
dc.description.abstractThe present study aimed to investigate the possibility of using hyperspectral imaging data to identify the invasive and weed species in agrocenoses ecosystemru
dc.language.isoenru
dc.subjectcrop productionru
dc.subjectplant protectionru
dc.subjectinvasive speciesru
dc.subjectweedsru
dc.subjecthyperspectral imagingru
dc.subjectvegetation indicesru
dc.subjectspecies identificationru
dc.subjectagrocenosisru
dc.titleAssessment of invasive and weed species by hyperspectral imagery in agrocenoses ecosystemru
dc.typeArticleru
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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