Digital Harvest · AMRU Sample Analysis
Digital Harvest · AMRU Sample Analysis
Supply-side visibility was one of the priorities you identified. For a rice exporter managing a large cooperative network, that visibility starts with knowing where and when harvests are occurring across every field, every season. This demonstration shows what that looks like when built on a continuously updated field-level data foundation.
For an enterprise, objective field-level observations replace delayed reporting with a continuously updated view of harvest activity. Harvest event detection is one analytical workflow built on a continuously updated field-level data foundation. As operational priorities evolve, additional workflows can be developed on that same foundation without rebuilding the underlying infrastructure.
Each point represents a harvest automatically detected for a specific field. Harvests are detected across mapped field boundaries using Digital Harvest's proprietary cloud-free processing and harvest event detection algorithms. Harvests are shown across all farms and seasons from 2023 through 2026. Harvests detected outside the normal milling window are highlighted separately.
Viewed collectively, these observations provide an objective view of harvest activity across any production area. Over multiple seasons, they also build a historical record of harvest timing for every field.
Harvest date is a foundational field-level data point because it establishes when and where harvesting occurred across every mapped field.
Where manual harvest records already exist, harvest observations provide an independent reference that can improve confidence in reported information. Where such records do not exist, they establish a consistent field-level record of harvest activity.
Harvest timing also marks the transition from standing crop to harvested crop, providing a common reference point for understanding seasonal progress across fields, cooperatives, provinces, and entire production areas. Over time, these observations build a historical record that supports increasingly sophisticated operational and analytical workflows.
The same harvest observations can be viewed consistently at the field, cooperative, or province level, providing leadership with the same operational picture regardless of scale.
Each growing season adds to a historical record of harvest activity, allowing long-term patterns and changes to be understood across every level of the production area.