Prediction of crude protein and oil content of soybeans using Raman spectroscopy-Reference-Cited by-同舟云学术

Prediction of crude protein and oil content of soybeans using Raman spectroscopy

Published:2013-08 Issue: Volume:185 Page:694-700
ISSN:0925-4005
Container-title:Sensors and Actuators B: Chemical
language:en
Short-container-title:Sensors and Actuators B: Chemical

Author:

Lee Hoonsoo,Cho Byoung-Kwan,Kim Moon S.,Lee Wang-Hee,Tewari Jagdish,Bae Hanhong,Sohn Soo-In,Chi Hee-Youn

Funder

Next-Generation Bio-Green-21

Rural Development Administration (RDA), Republic of Korea

Publisher

Elsevier BV

Subject

Materials Chemistry,Electrical and Electronic Engineering,Metals and Alloys,Surfaces, Coatings and Films,Condensed Matter Physics,Instrumentation,Electronic, Optical and Magnetic Materials

Reference27 articles.

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4. Nondestructive estimation of fatty acid composition in soybean [Glycine max (L.) Merrill] seeds using near-infrared transmittance spectroscopy;Patil;Food Chemistry,2010

5. Development of a calibration to predict maize seed composition using single kernel near infrared spectroscopy;Baye;Journal of Cereal Science,2006

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