On-line Measurement of Contents in Compound Fertilizer and Application Research Using VIS-NIR Spectroscopy

被引:0
|
作者
Lin, Zhidan [1 ,2 ,3 ]
Wang, Yubing [2 ]
Wang, Rujing [2 ]
Liu, Jing [2 ]
Lu, Cuiping [2 ]
Wang, Liusan [2 ]
机构
[1] Univ Sci & Technol China, Dept Automat, Hefei 230026, Anhui, Peoples R China
[2] Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China
[3] Elect Engn Inst, Hefei 230037, Anhui, Peoples R China
关键词
VIS-NIR spectroscopy; on-line measurement; compound fertilizer; PCR; PLS; DIFFUSE-REFLECTANCE SPECTROSCOPY;
D O I
10.1117/12.2199364
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The on-line measurement of the main component contents is essential for production, detection and identification of compound fertilizer. Using developed VIS-NIR sensors for on-line measurement of the main component contents in compound fertilizer, primary results about nitrogen (N), phosphorus pentoxide (P2O5) and potassium oxide (K2O) were reported. A visible (VIS) and near infrared (NIR) spectrophotometer (Ocean Optics), with a measurement range of 360.18-2221.53 nm was used to measure fertilizer spectra in reflectance mode. By using principal component analysis (PCA) and mahalanobis distance method, 3 outlier samples were detected and eliminated from 174 samples firstly. Then these models of three components with the 124 samples in calibration set were established using principal component regress (PCR) and partial least squares regression (PLS) coupled respectively with the full cross-validation technique after preprocessing the original spectrum with different methods. These models were used to estimate the contents of N, P2O5 and K2O of the other 47 samples in predicted set. The research results showed that the method could be applied to rapid measurement to the main component contents in compound fertilizer. Compared with the traditional analysis method, the on-line measurement could do it rapidly, inexpensively and pollution-freely. It suggested the potential use of the VIS-NIR sensing system for on-line measurement in the production, detection and identification process of compound fertilizer.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Development of a soil fertility index using on-line Vis-NIR spectroscopy
    Munnaf, Muhammad Abdul
    Mouazen, Abdul Mounem
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 188
  • [2] On-line measurement of some selected soil properties using a VIS-NIR sensor
    Mouazen, A. M.
    Maleki, M. R.
    De Baerdemaeker, J.
    Ramon, H.
    SOIL & TILLAGE RESEARCH, 2007, 93 (01): : 13 - 27
  • [3] On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning
    Nawar, S.
    Mouazen, A. M.
    SOIL & TILLAGE RESEARCH, 2019, 190 : 120 - 127
  • [4] Primary results on on-line measurement of some selected soil properties using a VIS-NIR sensor
    Mouazen, Abdul Mounem
    Malaki, Mohammad Reza
    De Baerdemaeker, Josse
    Ramon, Herman
    SOIL MANAGEMENT FOR SUSTAINABILITY, 2006, 38 : 215 - +
  • [5] Sampling for field measurement of soil carbon using Vis-NIR spectroscopy
    Singh, Kanika
    Minasny, Budiman
    McBratney, Alex B.
    Short, Michael G.
    Namazi, Fatemeh
    DIGITAL SOIL ASSESSMENTS AND BEYOND, 2012, : 415 - 420
  • [6] On-line analysis of intact olive fruits by vis-NIR spectroscopy: Optimisation of the acquisition parameters
    Salguero-Chaparro, Lourdes
    Baeten, Vincent
    Abbas, Ouissam
    Pena-Rodriguez, Francisco
    JOURNAL OF FOOD ENGINEERING, 2012, 112 (03) : 152 - 157
  • [7] A combined data mining approach for on-line prediction of key soil quality indicators by Vis-NIR spectroscopy
    Munnaf, Muhammad Abdul
    Guerrero, Angela
    Nawar, Said
    Haesaert, Geert
    Van Meirvenne, Marc
    Mouazen, Abdul Mounem
    SOIL & TILLAGE RESEARCH, 2021, 205
  • [8] Predicting soil microplastic concentration using vis-NIR spectroscopy
    Corradini, Fabio
    Bartholomeus, Harm
    Lwanga, Esperanza Huerta
    Gertsen, Hennie
    Geissen, Violette
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 650 : 922 - 932
  • [9] USING VIS-NIR SPECTROSCOPY TO ESTIMATE SOIL ORGANIC CONTENT
    Hu, Tao
    Qi, Kun
    Hu, Yi'na
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8263 - 8266
  • [10] Prediction Models for Soil Properties Using VIS-NIR Spectroscopy
    Ando, Masaya
    Arakawa, Masamoto
    Funatsu, Kimito
    JOURNAL OF COMPUTER AIDED CHEMISTRY, 2009, 10 : 53 - 62