陈坤杰,龙金星,宋亮,李克.稻谷千粒质量近红外光谱定量分[J].农业机械学报,2009,40(6):111-115.
.of 1000-grain Weight of Paddy Using NIRS Technique[J].Transactions of the Chinese Society for Agricultural Machinery,2009,40(6):111-115.
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稻谷千粒质量近红外光谱定量分   [下载全文]
of 1000-grain Weight of Paddy Using NIRS Technique   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  稻谷  千粒质量  近红外光谱  偏最小二乘法  测定
基金项目:
陈坤杰  龙金星  宋亮  李克
南京农业大学
中文摘要:利用近红外漫反射光谱分析技术对稻谷千粒质量进行了测定和研究。通过对70个不同品种的稻谷样本进行近红外光谱扫描,将获得的光谱进行10种不同方法的预处理,然后应用PLS方法建立稻谷千粒质量预测的定标模型,根据交互验证决定系数(R2)和交互验证标准差(RMSECV)进行最佳定标模型选择,最后依据稻谷千粒质量预测值与真实值间的相关系数(r)和预测标准误差(SEP)进行模型预测能力评价。结果显示,在光谱区间11998.9~7497.9+6101.7~5449.8+4601.3~4246.5cm-1、采用最小—最大归一化预处理方法建立的定标模型具有最大的交叉验证决定系数0.773和最小的均方根误差1.67g;以最佳定标模型预测的稻谷千粒质量与真实值之间的相关系数为0.945,预测标准误差为0.76g,表明近红外光谱分析技术可以用来进行稻谷千粒质量的快速测定。
Key Words:
Abstract:The purpose of this study is to investigate the feasibility using near-infrared spectroscopy (NIRS) technology for determination of the 1000-grain weight of paddy. Seventy varieties of paddy samples were scanned in the NIR spectral region 4000~10000cm-1. Ten pretreatment methods were used to process the NIR spectrums. NIR calibration models were developed by using the partial least squares (PLS) technique. The best calibration model was determined based on the highest determination coefficient (R2) of cross-validation and the lowest root mean of standard error for cross validation (RMSECV). It was shown that the best model, with the determination coefficient 0.773 and RMSECV 1.67g, could be obtained based on the processed spectral data by the pretreatment min—max normalization in spectral range 11998.9~7497.9+6101.7~5449.8+4601.3~4246.5cm-1.The validation results indicated that the best calibration model had correlation coefficient (r) between the NIR predicted and the actual values of 0.945 and standard prediction error (SEP) of 0.76g, showing that the NIR technology is a potential tool to estimate the 1000-grain weight of paddy.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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