Sparse reproducible machine learning for near infrared hyperspectral imaging: Estimating the tetrahydrocannabinolic acid concentration in Cannabis sativa L.-Reference-Cited by-同舟云学术

Sparse reproducible machine learning for near infrared hyperspectral imaging: Estimating the tetrahydrocannabinolic acid concentration in Cannabis sativa L.

Published:2023-02 Issue: Volume:192 Page:116137
ISSN:0926-6690
Container-title:Industrial Crops and Products
language:en
Short-container-title:Industrial Crops and Products

Author:

Abeysekera Sanush K.,Robinson Amanda,Ooi Melanie Po-Leen,Kuang Ye Chow^ORCID,Manley-Harris Merilyn^ORCID,Holmes Wayne,Hirst Evan,Nowak Jessika^ORCID,Caddie Manu,Steinhorn Gregor^ORCID,Demidenko Serge^ORCID

Publisher

Elsevier BV

Subject

Agronomy and Crop Science

Reference44 articles.

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4. Cannabinoid level in the leaves as a tool for the early discrimination of cannabis chemiovariants;Barni-Comparini;Forensic Sci. Int.,1984

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2. NIR-hyperspectral imaging and machine learning for non-invasive chemotype classification in Cannabis sativa L;Computers and Electronics in Agriculture;2024-02

3. Feature Extraction Using Canonical Correlation Analysis for Improved Recognition of Objects in Hyper Spectral Data;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

4. Light and Shadow in Near-Infrared Spectroscopy: A Powerful Tool for Cannabis sativa L. Analysis;AppliedChem;2023-11-29