Crop Modelling and Uncertainty
Linking Crop Models with Remote Sensing
Bestiapop Python package
Conference & Poster Presentations
2020 - Visiting Researcher
Crop-livestock adaptation to climate change based on modelling and remote-sensing
Effects of soil- and climate data aggregation on simulated potato yield and irrigation water requirement
We quantify the data aggregation effects on potato yield and irrigation requirements.
University of Gottingen
2019 - Visiting Researcher
Bestiapop - A python package for climate data extraction, processing and visualisation in crop models
Uncertainty decomposition in crop models
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.