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Data from the Physical World

PyData Amsterdam hosts an evening of talks from engineers working on data in physical settings, organised with Monumental and Source.ag. Sebastiaan Vermeulen of Source.ag covers why greenhouse harvest forecasting is a stubborn ML problem: a

Data from the Physical World
Starts
2026-10-08T16:00:00+00:00
Organizer
PyData Amsterdam
Location
Plantage Middenlaan 62, Plantage Middenlaan 62, 1018 DH Amsterdam, Netherlands, Amsterdam, Netherlands

PyData Amsterdam hosts an evening of talks from engineers working on data in physical settings, organised with Monumental and Source.ag. Sebastiaan Vermeulen of Source.ag covers why greenhouse harvest forecasting is a stubborn ML problem: around 40 data points per crop in a season, human-recorded data, and plant biology that standard models ignore, plus how mechanistic models are blended with learned components. Josefine Quack of Monumental describes operating and debugging a live fleet of more than 100 construction robots across countries. Dinner and drinks follow the talks.

Event website