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