Application of NIRS to Detecting Total N of Cucumber Leaves Growing in Greenhouse
RUI Yu-kui1, XIN Shu-zhen1, LI Jun-hui2
1. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China 2. College of Information and Electronic Engineering, China Agricultural University, Beijing 100193, China
Abstract：Non-destructive testing, as a new, rapid, non-destructive technology, is the direction of agricultural produce testing in the future. In this study, the nitrogen content of cucumber leaves was predetermined using near infrared spectroscopy technology. The main results were as follows: The authors measured the nitrogen content in cucumber leaves with Kjeldahl method and near infrared spectroscopy, then established a model between them, and processed a external verification next. The verification results showed that the determination coefficient of the model was 0.406 6, relative standard deviation is 0.155 9, and calibration standard deviation is 0.72;Then the authors predicted the cucumber leaves nitrogen content with this model, and the results showed that the mean absolute percent error was 0.59, average relative error was 13.88, and correlation coefficient of the chemical values and predicted values was 0.637 7. So it was proved that this model had a certain feasibility in vegetable leaves nitrogen testing.
芮玉奎1，辛术贞1，李军会2 . 应用近红外光谱技术测试温室黄瓜叶片全氮含量[J]. 光谱学与光谱分析, 2011, 31(08): 2114-2116.
RUI Yu-kui1, XIN Shu-zhen1, LI Jun-hui2 . Application of NIRS to Detecting Total N of Cucumber Leaves Growing in Greenhouse. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(08): 2114-2116.
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