Prescriptions

This algorithm generates agronomic prescriptions for a parcel within a selected period, transforming observed crop patterns into prioritized field actions.

Input Data

The prescription engine requires:

• Parcel geometry or ID
• Date range
• Remote sensing indicators and trend context
• Optional intervention history

Decision Logic

The model detects limiting factors, scores action impact, and prioritizes recommendations using rule-based and statistical weighting.

Output

Returned recommendations are structured and auditable:

• Nutrition adjustment proposals
• Irrigation strategy suggestions
• Operational timing windows
• Rationale and confidence score per action