Silva Balcanica 24(3): 5-16, doi: 10.3897/silvabalcanica.24.e114699

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

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

‡ oronezh State University of Forestry and Technologies named after G.F. Morozov, Voronezh, Russia

Corresponding author: Tatyana P. Novikova ( novikova_tp@vgltu.ru )

Academic editor: Georgi Georgiev

This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation: Novikova TP, Petrishchev EP, Novikov AI (2023) Reforestation pipeline: case for quality management of NIR-region grading of Scots pine seeds and FLR-algorithm for information processing. Silva Balcanica 24(3): 5-16. 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.

Keywords

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