A greenhouse operation plans by compartment, not by field — each compartment its own climate zone, its own planting date, its own crop cycle. Scouting findings — pest, disease, deficiency — get logged per compartment so a problem in one zone doesn't get mistaken for a farm-wide issue. Yield planning runs off that same compartment-level cycle data, as data-driven estimates rather than a guess at harvest day.
Every pesticide application carries a pre-harvest interval (PHI), a re-entry interval (REI), and a maximum residue limit (MRL). MkulimaOS gates harvest safety against those three — a compartment sprayed this week is not marked harvest-safe until its intervals clear, visibly, on the compartment record. That's a shipped feature, not a plan.
The greenhouse pack is built and runs on a demo farm today, on the same core registry, intake, and reporting the coffee vertical uses in production. It has not yet moved into a live production tenant.
The greenhouse pack is built and running on a demo farm — it has not yet moved into a live production tenant.
It's a check against a pesticide's pre-harvest interval, re-entry interval, and maximum residue limit — MkulimaOS keeps a compartment from being marked harvest-safe until those intervals clear.
It produces data-driven estimates from compartment-level crop cycle data — not a trained ML prediction or an AI agronomist.
Set up in one afternoon. No card required. Running live on Kenyan coffee and poultry farms right now.