CfS Research Morning: Statistical Learning of Soil Health (SLoSH)

Registration

Registration is free and open to all, but required for catering purposes.

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Programme

0900 - 0910: Welcome

0910 - 0955: Short talks

Ben Jackson: Unconstrained and thus unmitigated: how soil nitrous oxide emissions exemplify our poorly contextualised understanding of soil nitrogen cycling

Stuart King: Applications of machine learning to geospatial problems

Tim Lukins (Forest Research): Applying AI Machine Learning to identifying soil mesofauna

0955 - 1015: Coffee break

1015 - 1100: Short Talks

Daniela Cuba (Agricarbon): Challenges in Evaluating Soil Carbon Models for Change Detection

Amanda Lenzi: When the whole is greater than the sum of its parts: Scaling inference to large data settings through divide-and-conquer

Asa Dant: Regenerative agriculture – fix or fiction for soil health?

1100 - 1200: Group discussion

1200 - 1300: Lunch and networking

 

Organised by Torben Sell, Liz Baggs, Stuart King, Peter Baker and Jonathan Hillier.