Т.П. Новикова, А.И. Новиков, Е.П. Петрищев
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Естественные науки и лес
Новикова Татьяна Петровна – кандидат технических наук, доцент, доцент кафедры компьютерных технологий и микроэлектронной инженерии, ФГБОУ ВО «Воронежский государственный лесотехнический университет имени Г.Ф. Морозова», ул. Тимирязева, д. 8, г. Воронеж, Российская Федерация, 394087; http://orcid.org/0000-0003-1279-3960, e-mail: novikova_tp.vglta@mail.ru.
Новиков Артур Игоревич – доктор технических наук, доцент, профессор кафедры древесиноведения, ФГБОУ ВО «Воронежский государственный лесотехнический университет имени Г.Ф. Морозова», ул. Тимирязева, д. 8, г. Воронеж, Российская Федерация, 394087, ORCID: http://orcid.org/0000-0003-1230-0433, e-mail: arthur.novikov@vglta.vrn.ru.
Петрищев Евгений Петрович – аспирант, ФГБОУ ВО «Воронежский государственный лесотехнический университет имени Г.Ф. Морозова», ул. Тимирязева, д. 8, г. Воронеж, Российская Федерация, 394087, ORCID: https://orcid.org/0000-0002-1395-3631, e-mail: petrishchev.vgltu@mail.ru.
Спектральные данные лесных семян в видимом и инфракрасном диапазонах длин электромагнитного излучения достаточно эффективно дифференцируют происхождение, жизнеспособность, виды семян, их зараженность вредителями и болезнями, способность впитывать и терять воду. Поиск одновременно инструментально простого, быстрого и эффективного для прогнозирования всхожести способа тестирования семян необ-ходим для повышения энергоэффективности лесных питомников при производстве посадочного материала. Ретроспективная систематизация источников (N = 55, 1998-2023 годы, терм [Scholar Query = seeds* AND (spectr* OR optic*) (properties OR features) AND analysis] в кластеры проведена на основании восьми критериев эффективности, представленных ранговыми переменными. Уровень сходства и различия между кластерами определен методом наиболее отдаленных соседей с группировкой данных по квадрату евклидова расстояния. Наиболее отдаленный от других критерий – уровень инвазивности тестирования (квадрат Евклидова расстояния – 25, p
лесные семена, тестирование семян, впитывание воды семенами, всхожесть семян, качество семян, искус-ственное лесовосстановление, планшетный сканер, RGB-спектральные данные, сегментирование изображения
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