Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Winter Wheat Quality Inspection and Regionalization Based on NIR Network and Remote Sensing

  • Conference paper

Abstract

In the crown of the year, inspection of wheat quality fast and accurate is very important for all of grain enterprises, farmers and governments. Governments would like to construct a fair and equitable market for grain transaction with explicit grain quality standard. Farmers would like to sell their high-quality grain at a high unit price for they have paid more attention and investment. Enterprises also would like to purchase high-quality grain with higher unit price for it can bring more profits. At the same time, generating regionalization map of wheat quality accuracy in time is very important on the grain enterprises’ purchase strategy formulating and purchase region choosing. The authors collected 1200 NIR samples in 240 points (in other words, 5 samples per point ) in 12 counties in the main wheat producing areas in China (Hebei, Henan, Jiangsu and Shandong), then analysis these samples by both GIS spatial interpolation method and RS inverse method. In contrast, RS inverse method can simulate the quality parameter more accuracy than GIS spatial interpolation method. In conclusion, RS inverse method is preferable to generate quality regionalization map with NIR network samples.

Similar content being viewed by others

Keywords

References

  1. Yan, Y., Zhao, L., Han, D., Yang, S.: Elements and application of Near-Infrared Spectra Analysis. China Light Industry Press, Beijing (2005)

    Google Scholar 

  2. Wang, Y., Veltkamp, D.J., Kowalski, B.R.: Analytical Chemistry 63, 2750 (1991)

    Article  Google Scholar 

  3. Lu, W.-.z.: Modern Near Infrared Spectroscopy Analytical Technology, 2nd edn. China Petrochemical Press, Beijing (2007)

    Google Scholar 

  4. Humburg, D.S., Stange, K.W., Robert, P.C., et al.: Spectral properties of sugar beets related to sugar content and quality. In: Proceedings of the Fourth International Conference on Precision Agriculture. St. Paul, M Minnesota, USA, July19- 22, (1998) Part A and Part B, pp. 1593–1602 (1999)

    Google Scholar 

  5. Wang, J.H., Huang, W.J., Zhao, C.J.: Estimation of leaf biochemical components and grain quality indicators of winter w heat from spectral reflectance. Journal of Remote Sensing 7(4), 277–284 (2003)

    Google Scholar 

  6. Wei, Y.M.: Corn Quality and Food Processing—Wheat Grain Quality and Food Processing. China Agricultural Science and Technology Press, Beijing (2005) (in Chinese)

    Google Scholar 

  7. Zhang, X., Liu, L.Y., Zhao, C.J., Zhang, B.: Estimating wheat nitrogen concentration with high spectral resolution image. Journal of Remote Sensing 7(3), 176–181 (2003) (in Chinese)

    Google Scholar 

  8. Wang, J.H., Wang, Z.J., Huang, W.J., Ma, Z.H., Liu, L.Y., Zhao, C.J.: The vertical distribution characteristic and pectral response of canopy nitrogen in different layer of winter wheat. Journal of Remote Sensing 8(4), 309–316 (2004) (in Chinese)

    Google Scholar 

  9. Zubillaga, M., Urricariet, S.: Assessment of nitrogen status in wheat using aerial photography. Communications in Soil Science and Plant Analysis 36(13-14), 1787–1798 (2005)

    Article  Google Scholar 

  10. Wang, Z.J., Wang, J.H., Liu, L.Y., Huang, W.J., Zhao, C.J., Wang, C.Z.: Prediction of grain protein content in winter wheat (Tritium aestivum L.) using plant pigment ratio (PPR). Field Crops Research 90(2-3), 311–321 (2004)

    Article  Google Scholar 

  11. Wu, L.X., Shi, W.Z.: Principles and Algorithms of GIS. Science Press, Beijing (2003) (in Chinese)

    Google Scholar 

  12. Li, W.G., Wang, J.H., Zhao, C.J., Liu, L.Y., Guo, W.S.: Study on monitoring starch content in winter wheat grain using Land-Sat TM image. Journal of Yunnan Agricultural University 22(3), 365–369 (2007) (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Engineering Research Center for Information Technology in Agriculture, Beijing, 100097, China

    Xiaodong Yang, WenJiang Huang, Cunjun Li, Xingang Xu & Hao Yang

Authors
  1. Xiaodong Yang

    You can also search for this author inPubMed Google Scholar

  2. WenJiang Huang

    You can also search for this author inPubMed Google Scholar

  3. Cunjun Li

    You can also search for this author inPubMed Google Scholar

  4. Xingang Xu

    You can also search for this author inPubMed Google Scholar

  5. Hao Yang

    You can also search for this author inPubMed Google Scholar

Editor information

Editors and Affiliations

  1. EU-China Center for Information & Communication Technologies (CICTA), China Agricultural University, 17 Tsinghua East Road, 100083, Beijing, P.R. China

    Daoliang Li  & Yingyi Chen  & 

  2. College of Mechanical and Electronic Engineering, East China Jiaotong University, Shuanggang Road, 330013, Nanchang, Jiangxi, China

    Yande Liu

Rights and permissions

Copyright information

© 2011 IFIP International Federation for Information Processing

About this paper

Cite this paper

Yang, X., Huang, W., Li, C., Xu, X., Yang, H. (2011). Winter Wheat Quality Inspection and Regionalization Based on NIR Network and Remote Sensing. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18354-6_34

Download citation

Publish with us

[8]ページ先頭
©2009-2025 Movatter.jp