Machine Learning Models with Quantitative Wood Anatomy Data Can Discriminate between Swietenia macrophylla and Swietenia mahagoni
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Title
Machine Learning Models with Quantitative Wood Anatomy Data Can Discriminate between Swietenia macrophylla and Swietenia mahagoni
Authors
Keywords
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Journal
Forests
Volume 11, Issue 1, Pages 36
Publisher
MDPI AG
Online
2019-12-26
DOI
10.3390/f11010036
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- (2017) Imanurfatiehah Ibrahim et al. European Journal of Wood and Wood Products
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- (2017) Sung-Wook Hwang et al. JOURNAL OF WOOD SCIENCE
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- Application of artificial neural networks as a predictive method to differentiate the wood of Pinus sylvestris L. and Pinus nigra Arn subsp. salzmannii (Dunal) Franco
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- Opportunities for Improved Transparency in the Timber Trade through Scientific Verification
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- The use of near Infrared Spectroscopy to Identify solid wood Specimens of Swietenia Macrophylla0 (Cites Appendix II)
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- How precise can wood identification be? Wood anatomy’s role in support of the legal timber trade, especially cites
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- Forensic timber identification: It's time to integrate disciplines to combat illegal logging
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- Increasing human dominance of tropical forests
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- The Use of DNA Barcoding in Identification and Conservation of Rosewood (Dalbergia spp.)
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- (2014) Pedro L. Paula Filho et al. MACHINE VISION AND APPLICATIONS
- Machine learning for Big Data analytics in plants
- (2014) Chuang Ma et al. TRENDS IN PLANT SCIENCE
- Supervised DNA Barcodes species classification: analysis, comparisons and results
- (2014) Emanuel Weitschek et al. BioData Mining
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- Fiji: an open-source platform for biological-image analysis
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