From your data to a decision you can trust.
LeafShift is one layer that sits on top of the sensors and systems you already run. It is sensor-agnostic by design: greenhouse or open field, it connects to what you have rather than asking you to build around it.
Map your operation
We start from what you already have: your crop, your setting, and your existing sensors and climate data. From that we select a baseline model. The water balance follows FAO-56, the international standard for crop water use, and machine learning is added only where it measurably helps. Your existing equipment stays in place.
Calibrate to your farm
For an initial period, the system observes your weather, soil moisture, and irrigation events, and calibrates to how your operation behaves. It accounts for the specific characteristics of your sensors and soil before it makes any recommendation.
Run in shadow mode
LeafShift runs alongside your current decisions, logging what it would have done and the difference it would have made, without changing anything. You get a data-backed case for or against automation, with a confidence range on every call.
Automate when you're ready
When the case is clear, LeafShift can act on the systems you already run, with fail-safes in place and every decision logged with the inputs behind it. You can see the reasoning for any call, and you can review or override it at any time.
The Netherlands has spent decades perfecting growing under glass: tight feedback loops, precise control, nothing wasted.
LeafShift brings that discipline to the open field: the same rigour about every litre and every input, applied on top of the equipment growers already have.
Request a pilot