Wheat Sedimentation Value Determination Based on Near Infrared Spectroscopy

Lai Jun Sun; Ming Liang Liu; Lu Lu Xu; Xin Fang Li; Xiao Dong Mao

doi:10.4028/www.scientific.net/AMR.605-607.996

Paper Titles

FEM Study on the Dynamic Effects of CMM Geometric Errors
p.972

Design of Measurement System for Solid Propellant Kneading Machine’s Pot Temperature
p.976

Sizing System for Automatic Construction of Dress Shirt Patterns for Men
p.981

Structural Damage Detection of the Simple Beam Based on Responses Phase Space
p.989

Wheat Sedimentation Value Determination Based on Near Infrared Spectroscopy
p.996

Automatic Identification of Crack in Ultrasonic Infrared Imaging
p.1001

The Curing Residual Strain Monitored by Fiber Bragg Grating Sensors
p.1007

The Design and Implementation of the Terminal in a Vehicle Exhaust Real Time Detecting System
p.1012

A Test of Mtem’ Application in the Iron Mine ahead to Explore the Water
p.1016

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Wheat Sedimentation Value Determination Based on...

Wheat Sedimentation Value Determination Based on Near Infrared Spectroscopy

Abstract:

The value of sedimentation is a comprehensive index to assess the quality of wheat, but using near infrared spectroscopy to determinate wheat sedimentation value is rarely reported. In this paper, we explore the feasibility and effectiveness of wheat sedimentation value determination based on near infrared spectroscopy. We establish the PLS calibration regression model of wheat sedimentation value and BP neural network calibration model of wheat sedimentation value. The roots mean square error of prediction(RMSEP) and prediction correlation coefficient(r) are 0.73554、7.3352 and 0.49118、10.015 respectively. And complete with models of wheat protein content built in the same circumstances to analyze reasons of poor wheat sedimentation value forecasted.