"Machine learning"

Imputing Missing Data in Plant Traits: A Guide to Improve Gap-Filling

Aim Globally distributed plant trait data are increasingly used to understand relationships between biodiversity and ecosystem processes. However, global trait databases are sparse because they are compiled from many, mostly small databases. This …

Discovering Differential Equations from Earth Observation Data

Modeling and understanding the Earth system is a constant and challenging scientific endeavour. When a clear mechanistic model is unavailable, complex or uncertain, learning from data can be an alternative. While machine learning has provided …