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Communication Dans Un Congrès Année : 2013

A comparison of bivariate classification and segmentation approaches to delineating and interpreting grain yield-protein management units

Résumé

A univariate segmentation algorithm has recently been developed for precision agricultural applications. This is adapted to a bivariate analysis to invest zoning based on yield and protein response in an eastern Australian wheat field. The intention is to be able to provide a zone-by-zone interpretation of the agronomic response to N. The segmentation algorithm provided comparable management zone results with the more widely used k-means classification. The algorithm is still under development but allows expert-knowledge to be incorporated into the zone delineation process
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Dates et versions

hal-01506207 , version 1 (12-04-2017)

Identifiants

  • HAL Id : hal-01506207 , version 1
  • PRODINRA : 191126
  • WOS : 000323292200059

Citer

J.A. Taylor, Brigitte Charnomordic, S. Guillaume, B. Tisseyre, B.M. Whelan. A comparison of bivariate classification and segmentation approaches to delineating and interpreting grain yield-protein management units. 9. European Conference on Precision Agriculture : ECPA 2013, Jul 2013, Lleida, Spain. 8 p. ⟨hal-01506207⟩
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