On machine learning methods to estimate cannabidiolic acid content of Cannabis sativa L. from near-infrared hyperspectral imaging
Author:
Affiliation:
1. School of Computing, Electrical and Applied Technology,Unitec,New Zealand
2. School of Engineering, University of Waikato,New Zealand
3. Transducers and Sensing, Callaghan Innovation,New Zealand
4. Rua Bioscience Ltd,New Zealand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10175865/10175876/10175994.pdf?arnumber=10175994
Reference30 articles.
1. Close-range hyperspectral imaging of whole plants for digital phenotyping: Recent applications and illumination correction approaches
2. Signal-to-Noise Ratio Contributors and Effects in Proximal Near-Infrared Spectral Reflectance Measurement on Plant Leaves
3. Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives
4. Complementary chemometrics and deep learning for semantic segmentation of tall and wide visible and near-infrared spectral images of plants
5. non-interactive and distributive property of dielectrics in mixture;thakur;Electronics Letters,1999
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