A comparison of bivariate classification and segmentation approaches to delineating and interpreting grain yield-protein management units
Une comparaison de la classification à deux variables et d'une approche de segmentation pour délimiter et interpréter des zones de gestion du rendement et des protéines du blé
Résumé
A univariate segmentation algorithm has recently been developed for precision agricultural applications. This algorithm is adapted to a bivariate analysis to investigate zoning based on both yield and protein responses in an eastern Australian wheat field. The intention is to provide a zone-by-zone interpretation of the agronomic response to N. The segmentation algorithm provided management zone results comparable 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.