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Agriculture Intelligence · 2026

Every hectare,
decoded.

Real-time crop intelligence, yield optimization, and irrigation analytics — built for farms that treat data as infrastructure.

fieldmind — live · farm_id: NH-0041 · sector: BROILER_NORTH
Soil Moisture Index
Target: 38–42% · Zone 3
Below threshold — irrigation advisory issued
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PLATFORM CAPABILITIES

Intelligence for every layer of the operation.

Forecasting
Yield Forecasting
Harvest projections 6–8 weeks out, per-crop-type, per-field. Model confidence bands included.
Irrigation
Irrigation Intelligence
Soil moisture + ET curves, auto-schedule suggestions with 48-hour advisory windows.
Irrigation required
Zone 3 avg
Health
Crop Health Index
Canopy stress scoring from sensor + satellite fusion. NDVI and thermal combined.
Healthy canopy
Updated 2h ago
Economics
Input Efficiency
Fertilizer and pesticide ROI mapped per plot. Variance alerts when spend outpaces yield gain.
Logistics
Supply Chain Timing
Processor delivery windows synced to harvest maturity curves. Reduce demurrage and spoilage.
Risk
Risk Alerts
Climate anomaly detection with 14-day action window. Frost, drought, and flood risk scoring.
Active alerts
14-day horizon
Operations
Multi-Site Dashboard
All fields, all operators, one view. Role-based access. Zero context switching.
Reporting
Consultant Export
PDF and API outputs for agronomists and planning teams. Bank and investor-ready formats.
PDF
+ JSON API
+ CSV export
WHO USES FIELDMIND

Built for three types of practitioners.

Farm Owners
Operators managing 500+ hectares across multiple crop types or livestock cycles.
No unified view of per-field performance across sites
Input costs unclear until month-end reconciliation
Yield variance goes undetected until harvest
AgTech Startups
Teams building farm intelligence products who need a data layer, not another platform to manage.
Sensor data ingestion without an analytics layer
No benchmark data to validate product claims
Custom reporting takes engineering cycles away from product
Ag Consultants
Independent agronomists and advisory firms working across multiple client farms simultaneously.
Client farm data scattered across spreadsheets and WhatsApp
No audit-grade export for investor or lender reporting
Recommendation cycle too slow against seasonal windows
Data Integrity

Not estimates.
Evidence.

Every data point in FieldMind carries a provenance tag — source, resolution, and time of last validation. No interpolated guesses presented as fact.

Satellite Imagery
10m resolution · 5-day revisit
Soil Sensor Network
15-min intervals · 3-depth profile
Weather Station Array
Hourly · 2km interpolation grid
ERP Cost Feed
Daily sync · input cost per SKU
Manual Field Logs
Structured entry · GPS-tagged

"Farm intelligence shouldn't be a dashboard. It should be a decision engine."

All yield forecasts validated against 3-year historical actuals per crop type and microclimate zone before model deployment. Confidence bands updated weekly based on in-season variance.

Book a platform walkthrough.

Built by someone who has tracked FCR on a commercial broiler operation.

Book a platform walkthrough