| 光谱学与光谱分析 |
|
|
|
|
|
| Quantitative Determination of Parameters of Substrate Using Near-Infrared Spectroscopy Technique |
| YU Yong-hua |
| College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China |
|
|
|
|
Abstract Soilless culture has many virtues, such as space saving, time saving, etc.. It has become one of the technologies which developed fastest in agricultural products. The selection of substrate is one of the keys to determining the success of soilless culture. Therefore, it is important to rapidly determine the parameters of substrate. In the present paper, moisture, electronic conductivity and pH values of substrate were tested by near-infrared (NIR) spectroscopy. The spectra were preprocessed by baseline correction and derivative. Partial least squares (PLS) regression model was built using different wave bands. It was found that baseline drift was improved after correction. NIR spectroscopy can be used to determine EC value of substrate. The correlation coefficient r, root-mean-square error of the cross validation (RMSECV), relative percent difference (RPD) and bias of the optimum PLS was 0.923 6, 634 μs·cm-1, 3.11 and 19.8 μs·cm-1, respectively, when the best wave band was 4 246.7～7 502.2 cm-1 and the best factor was 7. NIR spectroscopy technique can also be used to predict moisture of substrate although the accuracy of model should be improved. However, it can not be used to predict pH value of substrate.
|
|
Received: 2011-01-30
Accepted: 2011-04-22
|
|
|
|
Corresponding Authors:
YU Yong-hua
E-mail: yhyu@zju.edu
|
|
[1] FENG Hai-ping, GUO Wen-zhong, QU Ji-song, et al(冯海萍, 郭文忠, 曲继松, 等). Northern Horticulture(北方园艺), 2010, 15: 153.
[2] PAN Ying, LI Xiao-liang(潘 颖, 李孝良). Anhui Agricultural Science Bull(安徽农学通报), 2007, 13(5): 55.
[3] ZHANG Dong-mei, SHI Zheng-jun(张冬梅, 史正军). Acta Agriculturae Boreali-Sinica(华北农业报), 2005, 20: 139.
[4] GUO Shi-rong(郭世荣). Soilless Culture(无土栽培学). Beijing: China Agriculture Press(北京：中国农业出版社), 2001.
[5] Sheng Q Y, Li P P, Zhang X L. Applied Mechanics and Materials, 2011, 43：361.
[6] Verma A N, Tandon P. Proceedings of the Indian National Science Academy, 1984, 3(B50)：326.
[7] XU Man-li, LUO Zhi-chao, GAO Kun-lin, et al(许曼丽, 罗质超, 高坤林, 等). Chinese Journal of Soil Science(土壤通报), 1992, 23(4): 155.
[8] ZHU Yong-li, LI Ping-ping, SUN De-min, et al(朱咏莉, 李萍萍, 孙德民, 等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2010, 41(9): 178.
[9] Malley D F, Mcclure C, Martin P D. Communications in Soil Science and Plant Analysis, 2005, 36(4)：455.
[10] HUANG Guang-qun, WANG Xiao-yan, HAN Lu-jia(黄光群, 王晓燕, 韩鲁佳). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2010, 41(2): 93.
|
| [1] |
WANG Wen-xiu, PENG Yan-kun*, FANG Xiao-qian, BU Xiao-pu. Characteristic Variables Optimization for TVB-N in Pork Based on Two-Dimensional Correlation Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2094-2100. |
| [2] |
LE Ba Tuan1, 3, XIAO Dong1*, MAO Ya-chun2, SONG Liang2, HE Da-kuo1, LIU Shan-jun2. Coal Classification Based on Visible, Near-Infrared Spectroscopy and CNN-ELM Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2107-2112. |
| [3] |
LIU Jin, LUAN Xiao-li*, LIU Fei. Near Infrared Spectroscopic Modelling of Sodium Content in Oil Sands Based on Lasso Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2274-2278. |
| [4] |
YU Hui-ling1, MEN Hong-sheng2, LIANG Hao2, ZHANG Yi-zhuo2*. Near Infrared Spectroscopy Identification Method of Wood Surface Defects Based on SA-PBT-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1724-1728. |
| [5] |
XU Wei-jie1, WU Zhong-chen1, 2*, ZHU Xiang-ping2, ZHANG Jiang1, LING Zong-cheng1, NI Yu-heng1, GUO Kai-chen1. Classification and Discrimination of Martian-Related Minerals Using Spectral Fusion Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1926-1932. |
| [6] |
LIU Ting, WANG Wen-qi, LIU Zhi-qun, ZHAO Yan-li, YI Ding-rong. Applications of CdSe/ZnS Quantum Dot in Optical Fiber Evanescent-Wave pH Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1944-1948. |
| [7] |
LI Ying1, LI Yao-xiang1*, LI Wen-bin2, JIANG Li-chun3. Model Optimization of Wood Property and Quality Tracing Based on Wavelet Transform and NIR Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1384-1392. |
| [8] |
DU Jian1, 2, HU Bing-liang1*, LIU Yong-zheng1, WEI Cui-yu1, ZHANG Geng1, TANG Xing-jia1. Study on Quality Identification of Macadamia nut Based on Convolutional Neural Networks and Spectral Features[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1514-1519. |
| [9] |
HAN Guang, LIU Rong*, XU Ke-xin. Extraction of Effective Signal in Non-Invasive Blood Glucose Sensing with Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1599-1604. |
| [10] |
WANG Li-shuang, ZHANG Wen-bo*, TONG Li. Studies on Dimensional Stability of Wood under Different Moisture Conditions by Near Infrared Spectroscopy Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1066-1069. |
| [11] |
HUANG Hua1, WU Xi-yu2, ZHU Shi-ping1*. Feature Wavelength Selection and Efficiency Analysis for Paddy Moisture Content Prediction by Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1070-1075. |
| [12] |
LI Hao-guang1,2, YU Yun-hua1,2, PANG Yan1, SHEN Xue-feng1,2. Study of Maize Haploid Identification Based on Oil Content Detection with Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1089-1094. |
| [13] |
PENG Cheng1, FENG Xu-ping2*, HE Yong2, ZHANG Chu2, ZHAO Yi-ying2, XU Jun-feng1. Discrimination of Transgenic Maize Containing the Cry1Ab/Cry2Aj and G10evo Genes Using Near Infrared Spectroscopy (NIR)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1095-1100. |
| [14] |
XIA Ji-an1, YANG Yu-wang1*, CAO Hong-xin2, HAN Chen1, GE Dao-kuo2, ZHANG Wen-yu2. Classification of Broad Bean Pest of Visible-Near Infrared Spectroscopy Based on Cloud Computing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 756-760. |
| [15] |
MAO Ya-chun, WANG Dong, WANG Yue, LIU Shan-jun*. A FeO/TFe Determination Method of BIF Based on the Visible and Near-Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 765-770. |
|
|
|
|
