Variable Rate ROI Calculator

Variable rate ROI calculator

Variable rate pays on the ground that answers. Find out what that is worth on your farm.

Set your crop, your yield, your price and how variable the ground is. Read the net benefit per hectare and per year, held to what published variable-rate trials actually measured, with the whole calculation open to inspect.

19 regions, filled in for you Eight crops Metric and imperial Show the math Nothing leaves your browser
Where you farm
Detecting your region
Its own yields and pricesUses the nearest covered countryNot covered yet
The field
Area
Crop
Yield t/ha
Price $ /t
How variable the ground is

Yield swings 10 to 25 percent across the field. Half the ground responds to a changed rate.

What you would vary

Adding a second operation is worth less than the first, and a fifth less again. The page prices them that way.

Net benefit, a normal year

0 to 0
per hectare of the whole farm

0 to 0
across 100 ha, every year
Paid on the 50% of your ground that answers a changed rate

Find your responsive ground→ More to save before the rate changesTest pass direction and overlap on the Guidance Lines Simulator →

Where the money in variable rate actually comes from

Variable rate does not add yield everywhere. It moves inputs off ground that cannot use them and onto ground that can, and it only pays where those two kinds of ground sit in the same field. On a farm that is uniform end to end there is nothing to move, and the honest answer is close to zero.

So the arithmetic has three steps, and skipping any one of them is how a calculator ends up quoting a number nobody ever collects. Start with what a full variable-rate program returns on ground that responds. Published trials across corn, cereals and oilseeds put that between roughly 10 and 45 euro per hectare, with corn on the Cornbelt at the upper end and dryland cereals at the lower. Then cut it to the operations you are actually going to vary, remembering that nitrogen and seeding rate are chasing the same productivity difference, so the second one is worth less than the first. Then, and this is the step that gets left out, apply it only to the share of the farm that responds.

That share is the variability setting. A field with under 10 percent yield swing has perhaps a quarter of its area worth a different rate. At 10 to 25 percent, where most fields sit, call it half. Above 25 percent, three quarters. The rest of the farm is already close to its right rate and a prescription changes nothing there except your diesel.

A published benefit on responsive ground, cut by the operations varied, then applied only to the share of the farm that responds On responsive ground 10 to 45EUR / ha a full program, from trials Operations you vary 79%of a full program nitrogen plus seeding rate Share of the farm that responds 50% responds 50% already right 11 EUR / haacross every hectare farmed
A mid-band case with nitrogen and seeding rate varied. Skip the last step, and the same band applied to every acre instead of the half that responds reads 22 euro per hectare, which no grower ever collects.

What to do with the figure

Treat the total on the right as the ceiling for what you can spend finding and working your responsive acres. Soil sampling is usually the largest item and it lasts several seasons, so year one is the tight one and years two and three are where the program looks obvious. If your drill or spreader cannot vary rate yet, that controller comes out of the same budget.

Then go and find the acres. Several seasons of satellite growth, elevation with slope and curvature, harvest maps and soil tests will tell you where the field is genuinely different rather than where it looked bad in one wet June. That map is what turns a per hectare figure on a web page into a prescription your terminal can read, and next harvest is what tells you whether the split was right.

Frequently asked questions

I have seen variable rate quoted at far more per acre than this. Why is this lower?

Two reasons, and both are the reason to trust it. The figure here is net, after the inputs you move around, not a slice of gross revenue. And it is spread across every acre you farm, not only the acres that react.

A quote of 30 dollars an acre is usually the benefit measured on responsive ground in a trial block. Spread that same benefit over a farm where half the ground is already at its right rate and you land near 15. The bar under the headline shows which half you are being paid on. Open the math and you can walk from the published band down to the headline in five lines.

Low, medium or high. How do I tell which one my field is?

Pull up a harvest map, or several years of satellite growth if you have no harvest data, and look at the spread rather than the average. Under about 10 percent swing between the good and the poor ground is low. Ten to 25 percent is medium, which is where most fields sit. Over 25 percent is high, and you usually already know it: the knolls burn off early, the draws lodge, one end of the field is a different soil.

If you are between two, take the lower one. The whole point of the figure is that it survives contact with a real season.

I ticked all five operations and the answer barely moved. Is that a bug?

No. Varying nitrogen and varying seed are largely chasing the same thing, which is the productivity difference between one part of the field and another. Once nitrogen is matched to that difference, seeding rate is correcting a smaller remainder, and crop protection a smaller one again.

So the first operation you add carries most of the benefit, the second about half as much again, and the rest taper. Adding the fifth box does not multiply the answer by five, and any calculator that behaves that way is adding up the same acre several times.

Does this already subtract what the program costs me to run?

It subtracts the inputs you move around, so the figure is net on the agronomy. It does not subtract what it costs to get there: soil sampling, the software, the extra logistics of splitting a load, and a controller if your drill or spreader cannot vary rate yet.

Take the total on the right, subtract your sampling round and your platform cost for the year, and what is left is the decision. On most farms the sampling is the larger of the two and it is not an annual cost, so the second and third years look better than the first.

My yields are well above the regional average, so why does the answer barely change?

A field worth twice the regional average does not return twice the benefit, because the benefit comes from the difference between the strong and the weak parts of that field, not from its overall level. A uniformly excellent field has very little to reallocate.

Your yield and price still move the answer, within a quarter either way, so a high-value crop on good ground reads higher than a low-value one on the same ground. What moves it much more is the variability setting, which is the honest lever.

How do I find out which acres on my farm actually respond?

From layers you already have. Several seasons of satellite growth show the ground that carries consistently more. Elevation with slope and curvature finds the knolls that dry out and the draws that hold water. Harvest maps and soil tests confirm it, and old as-applied files show where the rate was already wrong.

In GeoPard those stack into management zones for the field, and the zones tell you the share of it that is worth a changed rate. From there the rate per zone becomes a prescription you export to the terminal, and next harvest tells you whether the split was right.

Bigger picture? GeoPard turns the data into prescriptions.

This page reads one file at a time. The full GeoPard platform combines multi-year yield, NDVI, soil, and topography into management zones, generates variable rate prescriptions, and pushes them to your machine.

Push prescriptions and pull as-applied data with:
John Deere Operations Center CNH FieldOps AGCO / PTx FarmEngage
Register free in GeoPard →

Already harvested? See whether the variable rate paid off in the Automated Yield Report.

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Reasoning AI for precision agriculture: it asks the right agronomic questions, shows its math, and builds dry-run validated prescriptions from your data. You approve every step.

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