Crop Rotation Scheduling: A Worked Example

Meadowline Organics is a hypothetical farm we made up to make this concrete — not a real Solvicus customer, and the numbers below are illustrative, not measured data.

Meadowline Organics runs 24 fields of certified organic land. Every season, someone has to decide what goes where for the next several years — and get it wrong, and you either violate the organic-certification rules or leave real money on the table.

Why crop rotation is a planning problem, not a checklist

Organic certification requires specific breaks between related crops on the same plot — plant a legume (Fabaceae) on a field, and that field needs a minimum multi-year break before another legume can go there again. Layer on top of that: which crops deplete which nutrients, which combinations need a winter cover crop to limit nitrogen leaching, how much harvest-window machinery capacity actually exists, and where forward market prices are headed over the planning horizon. At 24 fields and a multi-year horizon, the number of valid rotation sequences is far too large to plan on a spreadsheet — and a spreadsheet has no way to tell you if a better rotation exists.

Framing it as a mixed-integer program

Every decision here — which crop goes on which field in which year — is a discrete, yes/no choice, which puts crop rotation squarely in mixed-integer programming territory. Meadowline's real constraints translate directly: a hard rule that any plot growing Fabaceae needs at least a 3-year break before it can again, a cover-crop requirement between certain plantings to cap nitrogen leaching, and a machinery capacity ceiling during each harvest window that can't be exceeded no matter how good the crop choice looks on paper. The objective maximizes projected net margin across the full planning horizon — using the multi-year price forecast, not just next season's prices — while every one of those constraints holds simultaneously.

What comes back

The result is a full multi-year, field-by-field planting schedule, along with a projected nutrient-balance trajectory for each field so Meadowline can see it's not just profitable but sustainable — the solver won't recommend a sequence that violates the organic soil-health rules to hit a higher short-term margin, because that constraint is enforced, not merely preferred.

Try it yourself

Crop rotation scheduling is one of the illustrative use cases we build dedicated solvers for — see the full requirements and an example agent prompt on the Crop Rotation Scheduling solver page. If you run a similar multi-year planning problem, tell us about it — this is exactly the kind of problem we build custom solvers for.