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Research and Realization of Winter Wheat Yield Estimation Model Based on NDVI Index

  • Zhichao Wu
  • Changchun Li
  • Haikuan Feng
  • Bo Xu
  • Guijun Yang
  • Zhenhai Li
  • Haojie Pei
  • Mingxing Liu
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 546)

Abstract

The timely and accurate prediction of crop yield is of great significance to the formulation of national grain policy, the macro control of prices and the development of rural economy. In this paper, the NDVI values were calculated by using the measured spectral reflectance data of Winter Wheat during the whole growth period in 2014, combining with actual measured output, constructing a function model of NDVI index and measured output. The study concluded that the coefficient of determination (R2) of the NDVI index and the measured yield model in the whole growth period was 0.78, the root mean square error is 40.795 (kg/mu), Standard root mean square error is 10.79%. The value of root mean square error of verification model is 49.297 (kg/mu), the value of standard root mean square error is 13.04%. Therefore, the estimation model obtained in this experiment has good reliability, It is feasible that the portable instrument for measuring the parameters of crop growth potential by using the estimation model.

Keywords

Total growth period Winter wheat Reflectance NDVI Measured yield 

Notes

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (No. 41601346) and National Key Research and Development Programs (2016YFD0300603).

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Zhichao Wu
    • 1
    • 2
    • 3
    • 4
  • Changchun Li
    • 1
  • Haikuan Feng
    • 2
    • 3
    • 4
  • Bo Xu
    • 2
    • 3
    • 4
  • Guijun Yang
    • 2
    • 3
    • 4
  • Zhenhai Li
    • 2
    • 3
    • 4
  • Haojie Pei
    • 1
    • 2
    • 3
    • 4
  • Mingxing Liu
    • 1
    • 2
    • 3
    • 4
  1. 1.School of Surveying and Land Information EngineeringHenan Polytechnic UniversityJiaozuoChina
  2. 2.National Engineering Research Center for Information Technology in AgricultureBeijingChina
  3. 3.Key Laboratory for Information Technologies in AgricultureThe Ministry of AgricultureBeijingChina
  4. 4.Beijing Engineering Research Center of Agricultural Internet of ThingsBeijingChina

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