Reforestation pipeline: case for quality management of NIR-region grading of Scots pine seeds and FLR-algorithm for information processing

By

Novikova, Tatyana P.
Petrishchev, Evgeniy P.
Novikov, Arthur I.

Type

Article

Date of Publication

2023-12-28

Original Publication

Silva Balcanica

Volume

24

Series / Issue

Issue: 3

Pages

5--16

Subjects

Forest landscape restoration , fuzzy logic , NIR-region , Pinus sylvestris L. , Scots pine , seed grading

Contributed by

Pensoft Publishers

Language

English

Published by

Sofia, Bulgaria Forest Research Institute - Bulgarian Academy of Sciences (FRI-BAS) [2001]-

Identifiers

DOI: https://doi.org/10.3897/silvabalcanica.24.e114699

 

Abstract

When controlling the process of improving the quality of seeds by separating on a spectrometric basis, the primary information about the state of Scots pine seeds is carried by the wavelengths of optical fluxes and their amplitudes. The algorithm for analyzing the required characteristics of small forest seeds in the infrared range is a corresponding sequence of logical terms that provide the ability to determine the specified seed parameters by a combination of spectral frequencies and light flux amplitudes taken from the corresponding photodetectors. At ΔС = 0.5, the efficiency of the algorithm was 77.6 %, and at ΔС = 0.9, respectively, 99.5 %. In this regard, the choice of ΔС is the result of a compromise between the cost of rejection of high-quality seeds and losses when using unrecognized low-quality seeds and it is made according to the results of relevant experiments.