INVESTIGADORES
BALZARINI Monica Graciela
congresos y reuniones científicas
Título:
Addressing alternative approaches for spatial modeling of herbicide retention in soil
Autor/es:
GIANNINI KURINA, F.; HANG, S.; RAMPOLDI, A.; CÓRDOBA, M.; MACCHIAVELLI, R.; BALZARINI, M.
Reunión:
Conferencia; XVII Conferencia Española y VII Encuentro Iberoamericano de Biometría; 2019
Resumen:
Glyphosate retention coefficient (Kd) is modeled as function of soil variables, from a regional sampling, using: Ordinary and Partial Least Square regression, Random Forest, Generalized Boosted regression (GB), and Bayesian modelling with INLA; all regressions were fitted using spatial constraint on residuals. INLA produced the best fit, but GB the best spatial prediction.
