Methodology
Greenwing’s proprietary value rests in the processing: mapped agricultural zones, historical baselines, agronomic interpretation, and review discipline applied before a signal is reported. Public Earth-observation data, including ESA Sentinel satellite measurements, provides the recurring physical input.
01
Zone Mapping
From geography to map
Greenwing maps agricultural regions into proprietary analytical zones. Each zone is tied to crop distribution, seasonal calendar, hydrology, and its role within the wider production system.
Greenwing does not track field ownership or private farm boundaries.
02
Observation
From map to raw data
Greenwing observes mapped zones through recurring multispectral optical and synthetic-aperture radar satellite measurements. Each pass produces multiple physical readings of crop and land condition, with obscured or unreliable readings removed before interpretation.
Greenwing does not use on-ground sensors or human field scouting.
03
Historical Baseline
From raw data to departures
Greenwing compares each observation against the zone’s multi-year, calendar-matched historical record to produce normalized departures from expected seasonal conditions. This process runs continuously and autonomously.
Greenwing does not use weather forecasting or other predictions.
04
Agronomic Interpretation
From departures to score
Greenwing interprets departures in agronomic context, including severity, persistence, timing, crop sensitivity, and related zone behavior. Scores rise only on affirmative evidence.
Greenwing does not generate advisory services or input prescriptions.
05
Intelligence Output
From score to alert
Greenwing converts scored anomalies into legible alerts that identify the affected location, crop, condition, severity, confidence, and supporting observation cycle.
Greenwing does not issue public Agricultural Intelligence Alerts without human interrogation of the underlying data signals.