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Akasha · Harvest AI

Harvest Planning · Cutting Scheduler

Plans the sprint. Re-plans on every change.

Module Role

AI planner that writes the day-by-day harvest schedule

About this module

The Cutting Scheduler is the optimisation model that — 7–14 days before harvest — searches across millions of (block × day × combine × truck × storage bin × mandi) combinations and writes the day-by-day harvest schedule. Variables include moisture-content forecast, weather risk, combine availability windows, storage bin capacity, and live mandi price feeds. Whenever any of those inputs change (forecast shifts, combine breaks down), it re-plans within seconds and pushes the new schedule to Agni's Control Room · Harvesting for actual execution.

CIDSA Analytics · Akasha

Schedule Quality vs. Re-planning

Rice · 612 acres · plan written D-12, replanned 4 times

All BlocksIndia
Range · This Season

Plan-vs-actual MAPE

6.4%

acres/day

Re-plans triggered

4

/sprint

Re-plan latency

7.2 s

median

Mandi price uplift

+₹84/qtl

vs. naive

What this module delivers

MILP optimiser over (block × day × combine × bin × mandi)
Mandi-price-aware truck routing
Moisture × weather forecast joint risk model
Re-plan in <10 s on input change
Pushes the schedule to Agni Control Room for execution

Planned vs. actual daily acres

9-day harvest sprint

  • Actual
  • Planned
D1D2D3D4D5D6D7D8D90255075100

Re-plan trigger mix

Across 9 days

  • Combine breakdown
  • Forecast change
  • Mandi price spike
Sample simulation data · Live data feeds available in deployment.Powered by CIDSA Data Visualization & Analytics

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