Full-Spectrum Hyperspectral Modeling of Leaf Dry Matter Content Using a Stacked Ensemble Framework.

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Bibliographic Details
Title: Full-Spectrum Hyperspectral Modeling of Leaf Dry Matter Content Using a Stacked Ensemble Framework.
Authors: Alksnis R; Faculty of Engineering and Information Technology, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia., Alsina I; Faculty of Agriculture and Food Technologies, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia., Duma M; Faculty of Agriculture and Food Technologies, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia., Dubova L; Faculty of Agriculture and Food Technologies, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia., Gross U; Faculty of Engineering and Information Technology, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia., Harbovska T; Faculty of Agriculture and Food Technologies, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Mar 06; Vol. 26 (5). Date of Electronic Publication: 2026 Mar 06.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s26051665