Journal of Northern Agriculture ›› 2024, Vol. 52 ›› Issue (2): 55-63.doi: 10.12190/j.issn.2096-1197.2024.02.06

• Soil and fertilizer·Physiology and biochemistry • Previous Articles     Next Articles

Application analysis of the established model of near-infrared grain quality analyzer

YAN Liuying, CHEN Qiong, CHANG Jianzhong, XU Jing, ZHANG Dongmei, LIU Huatao   

  1. Shanxi Institute of Organic Dryland Farming/Key Laboratory of Sustainable Dryland Agriculture(Co-construction by Ministry and Province),Ministry of Agriculture and Rural Affairs/State Key Laboratory of Sustainable Dryland Agriculture of Co-construction by Ministry and Province(in Preparation)/Shanxi Province Key Laboratory of Sustainable Dryland Agriculture,Shanxi Agricultural University,Taiyuan 030031,China
  • Received:2024-03-13 Online:2024-04-20 Published:2024-07-24

Abstract: 【Objective】To verify the accuracy and stability of the established wheat,maize,and sorghum models of the FOSS-InfratecTM Nova near-infrared grain quality analyzer.【Methods】To compare the moisture,protein,and starch content detection results of wheat,maize,and sorghum between the two detection units (bulk density module TWM detection unit and STM sample transfer unit) in the FOSS-InfratecTM Nova near-infrared grain quality analyzer,and the moisture,protein,and starch content under different optical paths and chemical method detection values in the STM detection unit.【Results】There was no significant difference(P>0.05) between the moisture,protein,and starch content detection values of wheat samples at an STM unit of 18 mm optical path and maize samples at an STM unit of 29 mm optical path and the detection values of TWM and chemical methods,The moisture,protein,and starch content detection values of sorghum samples at different STM optical paths were not well fitted and correlated with the detection values of chemical methods.【Conclusion】The established models for wheat and maize have stable performance and reliable results in analysis;The detection performance of the sorghum model is poor,and further calibration or reconstruction of the model is needed.

Key words: Near-infrared grain quality analyzer, Content testing, Accuracy, Stability

CLC Number: 

  • O657.33