CropSense™ is a nitrogen response modeling platform designed to help you apply the right amount of nitrogen in the right parts of the field — based on where yield has actually responded over time.
Using multi-year field data, CropSense:
• Identifies stable productivity zones
• Evaluates crop response within those zones
• Determines where additional nitrogen historically generated return
• Produces variable-rate recommendations grounded in response — not just variability
This approach reduces guesswork and improves confidence in every nitrogen decision.
Avoid over-application in zones where added N does not increase yield.
Allocate nitrogen strategically to areas that consistently show response.
Deliver decisions that are easier to explain and defend with growers.
Optimize input investment to improve return on every nitrogen dollar spent.
CropSense analyzes multiple years of imagery and yield behavior to define stable zones within each field, areas that consistently perform similarly over time.
Within those zones, CropSense evaluates crop response to nitrogen, identifying where added N historically increased yield, and where it did not.
Using in-season response insights, CropSense generates variable-rate nitrogen recommendations designed to:
• Protect yield in responsive zones
• Reduce unnecessary application in non-responsive areas
• Improve nitrogen use efficiency
• Strengthen per-acre profitability
Make nitrogen decisions with greater confidence and economic clarity.
Provide response-based recommendations backed by multi-year data.
Deliver consistent, defensible nitrogen plans across many growers while improving member profitability and advisor efficiency.
It is not:
• A single-year imagery tool
• A black-box algorithm you can’t explain
• A new hardware system that adds complexity
• A one-size-fits-all nitrogen formula
CropSense enhances agronomic expertise by grounding decisions in measurable response.
We collaborate with growers and co-ops to run structured pilots that evaluate nitrogen response and economic impact.
There is no pressure, only data.
If you're interested in seeing how response-based nitrogen compares to your current approach, let’s start with your fields.
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