%0 Journal Article
%T Studying the spectrometric features of forest seeds to improve sowing qualities: a retrospective cluster analysis of the scientific landscape trends
%A Novikova, T.P.
%A Novikov, A.I.
%A Petrishchev, E.P.
%K forest seeds, seed spectrometric features, seed testing, seed quality, forest landscape restoration, flat-bed scanner, image capturing technique, VIS | RGB spectral data, scanning area, scanning resolution, seed’s image segmentation
%J Forestry Engineering Journal
%D 2024
%N 13
%P 16
%I FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov