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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/52681
Title: Assessment of invasive and weed species by hyperspectral imagery in agrocenoses ecosystem
Authors: Dmitriev, P. A.
Kozlovsky, B. L.
Kupriushkin, D. P.
Dmitrieva, A. A.
Tokhtar, V. K.
Keywords: crop production
plant protection
invasive species
weeds
hyperspectral imaging
vegetation indices
species identification
agrocenosis
Issue Date: 2022
Citation: Assessment 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.
Abstract: The present study aimed to investigate the possibility of using hyperspectral imaging data to identify the invasive and weed species in agrocenoses ecosystem
URI: http://dspace.bsu.edu.ru/handle/123456789/52681
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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