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Position: Home > Articles > Prediction of Moisture Content in Single Peanut Seed by Near Infrared Reflectance Spectroscopy Journal of Peanut Science 2012,41 (1) 8-11+22

近红外反射光谱技术预测花生种子含水量

作  者:
杨传得;于洪涛;关淑艳;王传堂;张建成;唐月异;王秀贞;吴琪
单  位:
吉林农业大学;山东省花生研究所
关键词:
花生;含水量;近红外反射光谱
摘  要:
选取116份大花生为实验材料,应用近红外反射光谱技术,结合偏最小二乘法,采用交叉检验建立了大花生含水量的近红外模型。优化结果表明,原始光谱不经过预处理,光谱范围为4597.7~11988cm-1,维数12,此时建立的模型校正结果最佳。模型决定系数(R2)为93.62,根均方差(RMSECV)为1.17。用该模型对20个未参与建模的实验材料进行预测,偏差为-1.781~1.902,相对误差为0.122%~2.855%。结果表明含水量模型具有很好的预测准确性,可用于鲜食花生种子水分含量快速检测。
译  名:
Prediction of Moisture Content in Single Peanut Seed by Near Infrared Reflectance Spectroscopy
作  者:
YANG Chuan-de1,YU Hong-tao2,GUAN Shu-yan1,WANG Chuan-tang2, ZHANG Jian-cheng2,TANG Yue-yi2,WANG Xiu-zhen2,WU Qi2 (1.Jilin Agricultural University,Changchun 130118,China; 2.Shandong Peanut Research Institute,Qingdao 266100,China)
关键词:
peanut;moisture content;NIRS
摘  要:
A near infrared reflectance spectroscopy calibration model for prediction of moisture content in individual single peanut seed was developed using 116 peanut seed samples,PLS algorithms and cross validation.The best pretreatment method was no treatment,the optimal wavenumber was 4597.7~11988 cm-1,and rank was 12.R2 and RMSECV was 93.62 and 1.17,respectively.The model was further tested with 20 external peanut seed samples,and it was found that the error was-1.781~1.902,and relative error was 0.122%~2.855%,demonstrating the robustness of the model.The NIRS model can be used for rapid analysis of moisture content in freshly harvested peanut seeds.

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