Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry
2020
Oliveira, Raquel Alves | Näsi, Roope | Niemeläinen, Oiva | Nyholm, Laura | Alhonoja, Katja | Kaivosoja, Jere | Jauhiainen, Lauri | Viljanen, Niko | Nezami, Somayeh | Markelin, Lauri | Hakala, Teemu | Honkavaara, Eija | https://orcid.org/0000-0001-6721-2065 | 4100110210 | 4100210710 | 4100110210 | Luonnonvarakeskus
Ключевые слова АГРОВОК
Библиографическая информация
Издатель
American Elsevier Pub. Co.
Другие темы
Precise agriculture; Random forest; Hyperspectral; Multiple linear regression; Grass sward
Язык
Английский
Формат
false
Тип
Text; Fi=a1 Alkuperäisartikkeli Tieteellisessä Aikakauslehdessä|sv=a1 Originalartikel I En Vetenskaplig Tidskrift|en=a1 Journal Article (Refereed), Original Research|
2024-11-28
2025-10-26
Dublin Core
Поставщик данных
Эту запись предоставил Natural Resources Institute Finland
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