Skip to main navigation Skip to search Skip to main content

Wavelength Selection to Predict Crude Protein in Sorghum using PLSR

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 (R 2 ) as 0.7928 and 0.8334 respectively.

Original languageEnglish (US)
Title of host publication2018 Asia Communications and Photonics Conference, ACP 2018
PublisherOSA - The Optical Society
ISBN (Electronic)9781538661581
DOIs
StatePublished - Dec 28 2018
Event2018 Asia Communications and Photonics Conference, ACP 2018 - Hangzhou, China
Duration: Oct 26 2018 → Oct 29 2018

Publication series

NameAsia Communications and Photonics Conference, ACP
Volume2018-October
ISSN (Print)2162-108X

Conference

Conference2018 Asia Communications and Photonics Conference, ACP 2018
Country/TerritoryChina
CityHangzhou
Period10/26/18 → 10/29/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Wavelength Selection to Predict Crude Protein in Sorghum using PLSR'. Together they form a unique fingerprint.

Cite this