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Functional regression in crop lodging assessment with digital images

  • R. Todd Ogden
  • Carl E. Miller
  • Kunio Takezawa
  • Seishi Ninomiya
Article

Abstract

A method is proposed to predict a lodging score for a rice field based only on a digital overhead image of the field. This method converts the two-dimensional image data to a one-dimensional function by computing the average variance of transects across the image as a function of the transect angle. Then principles of functional data analysis are applied to estimate a regression function, and the predicted lodging score is an intercept term plus a measure of overall variability plus the inner product of the regression function and the periodogram of the average variance function.

Key Words

Functional data analysis Generalized cross-validation Image transects Remote sensing 

References

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Copyright information

© International Biometric Society 2002

Authors and Affiliations

  • R. Todd Ogden
    • 1
  • Carl E. Miller
    • 2
  • Kunio Takezawa
    • 3
  • Seishi Ninomiya
    • 4
  1. 1.Department of BiostatisticsColumbia UniversityNew York
  2. 2.Department of StatisticsUniversity of South CarolinaColumbia
  3. 3.Agricultural Information Systems Lab, Department of Information Science and TechnologyNational Agricultural Research CenterIbarakiJapan
  4. 4.Department of Information Science and TechnologyNational Agricultural Research CenterIbarakiJapan

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