Ongoing Ph.D Projects

Here you can find our ongoing P.h.D students projects.

Can Isotopic Maps Reveal N2O Emissions?

Integrating machine learning with agroecosystem modelling

Spatial and temporal variability of soil GHG fluxes of urban greens

Integrating farm and farmer policy relevant typologies to tailor agri-environmental schemes

Investigating Gradients and Emissions of N2O in Soil Profiles and Across Landscapes

Isoscapes in a long-term agricultural experiment

Investigating Stakeholder Perspectives and Landscape Transitions through 3D Visualisations

Rooting N2O – Cropping strategies for mitigating GHG emissions in agricultural landscapes

Soil GHG emissions from Danish lowland organic rich agricultural soil and the landscape to be

Unveiling the role of Microtopographic features in Agricultural GHG emissions

Process-guided machine learning with multi-source satellite data

Modelling the livestock carrying capacity in sub-Saharan Africa

Developing Real-Time In-Planta Sensors to Detect Nutrient Deficiency

Integrating Modeling and Remote Sensing Approaches to Assess Hydrological Dynamics and GHG Emission

Field-Level Crop Yield Prediction in Denmark Using Machine Learning and Process-Based Modelling

Digital Twin for Multi-Objective Optimization of Agricultural Landscapes in Denmark

Cross-scale sensing of crop N and disease conditions from integrated satellite Earth observation

Revised 16.02.2026

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