Wood density prediction using near-infrared hyperspectral imaging for early selection of Eucalyptus grandis trees
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Title
Wood density prediction using near-infrared hyperspectral imaging for early selection of Eucalyptus grandis trees
Authors
Keywords
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Journal
TREES-STRUCTURE AND FUNCTION
Volume 37, Issue 3, Pages 981-991
Publisher
Springer Science and Business Media LLC
Online
2023-03-01
DOI
10.1007/s00468-023-02397-2
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Note: Only part of the references are listed.- Review of near infrared hyperspectral imaging applications related to wood and wood products
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- (2014) Geoffrey Downes et al. AUSTRALIAN FORESTRY
- Estimate of the density of Eucalyptus grandis W. Hill ex Maiden using near infrared spectroscopy
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- Comparison between neural networks and partial least squares for intra-growth ring wood density measurement with hyperspectral imaging
- (2013) Armando Fernandes et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Measurement of intra-ring wood density by means of imaging VIS/NIR spectroscopy (hyperspectral imaging)
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- (2012) G M Downes et al. Southern Forests
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- Robustness of Models Based on near Infrared Spectra to Predict the Basic Density in Eucalyptus Urophylla Wood
- (2009) Paulo Ricardo Gherardi Hein et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
- Age trends in genetic parameters for growth and wood density in Eucalyptus globulus
- (2009) Desmond J. Stackpole et al. Tree Genetics & Genomes
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