Crop Modelling and Uncertainty
Linking Crop Models with Remote Sensing
Bestiapop Python package
Conference & Poster Presentations
Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environments
Main drivers of sorghum biomass in the USA.
Impact of crop management and environment on the spatio-temporal variance of potato yield at regional scale
We determine and quantify the main drivers of potato yield variability under irrigated conditions.
Radiation use efficiency and its use for a better characterization of ecosystem change syndromes in grasslands
Quantifying the effects of G×E×M on the spatial variability of crop biomass in the US
Implications of data aggregation method on crop model outputs – The case of irrigated potato systems in Tasmania, Australia
We evaluated the difference of yield and irrigation using input/output aggregation.
Modelling inter-annual variation in dry matter yield and precipitation use efficiency of perennial pastures and annual forage crops sequences
We compared two forage landcovers, the sequence oats-maize and pure alfalfa across a mean annual precipitation gradient.