Delayed Senescence

This algorithm estimates treatment-driven senescence delay by comparing post-application decline patterns against historical reference behavior. It is intended for efficacy assessment and campaign reporting.

Input Data

The analysis requires:

• Parcel identifier or geometry
• Product and application date
• Optional management events (stress, irrigation)
• Time-series spectral maturity indicators

Statistical Method

The model detects inflection points, fits decline curves, and computes delay-in-days versus control baselines with uncertainty estimation.

Output Metrics

The service returns standardized indicators:

• Estimated senescence delay (days)
• Confidence interval by data completeness
• Baseline vs treated trajectory score
• Trend stability diagnostics