Insights
Essays and field notes on the ideas behind our work — and the field realities that shape them.
Agriculture is a physical, seasonal system. Models that skip the field tend to fail quietly — here is why we build the other way around.
What a neural network actually sees when it looks at a crop — and why that changes how we collect training data.
How a weather forecast, a soil map and a crop model come together into one timely recommendation.