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Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer

This study was undertaken to explore the potential of spectroscopic method to predict sugarcane quality parameters by directly scanning the internode samples. Spectral data was collected from 125 internode using a visible-shortwave near infrared spectroradiometer (VNIRS). The spectral data was calib...

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Bibliographic Details
Main Authors: Mat Nawi, Nazmi, Kamal, Md Rowshon, Chen, Guangnan, Jensen, Troy
Format: Article
Language:English
Published: Elsevier 2014
Online Access:http://psasir.upm.edu.my/id/eprint/43187/1/Prediction%20of%20Sugarcane%20Quality%20Parameters%20Using%20Visible-shortwave%20Near%20Infrared%20Spectroradiometer.pdf
http://psasir.upm.edu.my/id/eprint/43187/
http://www.sciencedirect.com/science/article/pii/S2210784314000217
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http://psasir.upm.edu.my/id/eprint/43187/1/Prediction%20of%20Sugarcane%20Quality%20Parameters%20Using%20Visible-shortwave%20Near%20Infrared%20Spectroradiometer.pdf
http://psasir.upm.edu.my/id/eprint/43187/
http://www.sciencedirect.com/science/article/pii/S2210784314000217

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