Research on Optimization of Wheat Seed Germination Rate NIR Model Based on Si-cPLS
WU Jing-zhu1，2, DONG Wen-fei1, DONG Jing-jing1, CHEN Yan1, MAO Wen-hua1，3, LIU Cui-ling1
1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
2. State Key Laboratory of Soil Plant Machinery System Technology, Beijing 100083, China
3. Chinese Academy of Agricultural Mechanization Sciences, Beijing 100083, China
Abstract：To improve the detecting accuracy and robustness of wheat seed germination rate with near infrared spectroscopy technique, single PLS model and consensus PLS model(cPLS) developed on the full-spectral were compared and analyzed, thus, the Si-cPLS model which developed on the characteristic spectral regions was put forward. There were 84 samples partitioned into 66 training samples and 18 prediction samples using SPXY method. By randomly selecting 50 samples from training set as calibration set, a series of sub PLS models were build. 100 PLS sub models satisfying predefined criterion were selected and combined one cPLS model by averaging all predicted results. With this basis Si-cPLS model were developed on characteristic spectral regions selected with synergy interval method. Statistics on 50 repeat prediction of wheat seed germination by full-spectral PLS model, full-spectral cPLS model, and Si-cPLS model showed that, the mean correlation coefficient(R) were 0.901, 0.922 and 0.936 respectively, the mean RMSEP were 13.735%, 12.533% and 10.273% respectively with standard deviation of RMSEP of 1.144%, 0.096% and 0.080% respectively. Results showed that cPLS model was more stable and reliable than single PLS model, While Si-cPLS could further increase the stability and prediction accuracy of cPLS model.
吴静珠，董文菲，董晶晶，陈 岩，毛文华，刘翠玲. 基于Si-cPLS的小麦种子发芽率近红外模型优化研究[J]. 光谱学与光谱分析, 2017, 37(04): 1114-1117.
WU Jing-zhu, DONG Wen-fei, DONG Jing-jing, CHEN Yan, MAO Wen-hua, LIU Cui-ling. Research on Optimization of Wheat Seed Germination Rate NIR Model Based on Si-cPLS. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1114-1117.
