Wavelength Selection to Predict Crude Protein in Sorghum using PLSR

Nikita Chaturvedi; Suresh Purini; Syed Azeemuddin; M. Kalyana; K. Sarjan Rao

Asia Communications and Photonics Conference (ACP) 2018
OSA Technical Digest (Optica Publishing Group, 2018),
paper Su1H.4

Wavelength Selection to Predict Crude Protein in Sorghum using PLSR

Nikita Chaturvedi, Suresh Purini, Syed Azeemuddin, M. Kalyana, and K. Sarjan Rao

Asia Communications and Photonics Conference 2018

Hangzhou China
26–29 October 2018
ISBN: 978-1-5386-6158-1

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Advanced Optical Diagnostic Technology I (Su1H)

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N. Chaturvedi, S. Purini, S. Azeemuddin, M. Kalyana, and K. S. Rao, "Wavelength Selection to Predict Crude Protein in Sorghum using PLSR," in Asia Communications and Photonics Conference (ACP) 2018, OSA Technical Digest (Optica Publishing Group, 2018), paper Su1H.4.

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Abstract

We have applied PLSR on NIRS data of Sorghum to select significant wavelengths for Crude-Protein content. Calibration models proposed using single wavelength (1449nm) and a pair (1485nm and 1486nm) give the coefficient of determination (R²) as 0.7928 and 0.8334 respectively.

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