TerraVision Platform v3.0

The Intelligence Layer
for American Agriculture

From satellite pass to field-level insight — TerraVision fuses multispectral imagery, drone telemetry, IoT sensor networks, and AI into a single edge-native platform. Built for the USDA, agribusinesses, and food-security agencies.

Nationwide rollout — expanding to all 50 states by Q4 2026. Federal agencies, agribusinesses, and land‑grant universities are already onboard.
At a Glance

Six Pillars, One Unified Platform

Every component is built for scale, security, and speed — from the edge sensor to the analyst's dashboard.

Earth Observation

Sentinel‑2, Landsat‑9, PlanetScope, and SAR — fused into daily 3‑10 m composites for any landmass.

Edge AI Inference

Quantized models running on NVIDIA Jetson and Pi CM4 nodes deliver sub‑200 ms inference per tile.

Live GIS Dashboard

MapLibre GL and PostGIS power real‑time telemetry, NDVI heat maps, and administrative boundary queries.

Predictive Climate

CMIP6 ensembles + ENSO teleconnections give 14‑day irrigation windows and 90‑day drought probabilities.

Multispectral composite — live
See the invisible

Satellite & AI Fusion

TerraVision ingests and harmonizes data from every major Earth‑observation constellation. Our proprietary fusion engine combines optical, thermal, and SAR bands into a single analytic surface that reveals crop stress, soil moisture, and pest pressure before they become visible.

  • Sub‑meter resolution for precision agronomy
  • Near‑daily revisit across CONUS
  • Automated atmospheric correction & cloud masking
  • NDVI, EVI, NDWI, and custom indices on demand
Edge inference node — live
At the edge

On‑Device AI Inference

No round‑trip to the cloud. Our quantized deep‑learning models run directly on ruggedized edge nodes in the field — detecting disease, counting plants, and classifying pests with sub‑200 ms latency, even in offline conditions.

  • NVIDIA Jetson Orin & Raspberry Pi CM4
  • Models trained on 4M+ annotated agricultural images
  • Federated learning updates without cloud dependency
  • 98.7% disease‑detection accuracy in field trials
Live GIS dashboard — simulated
Spatial intelligence

Real‑Time GIS Dashboard

Our web‑GIS interface is built for analysts, agronomists, and policymakers. Vector tile overlays, streaming telemetry, and interactive filtering let you drill from national overview down to individual field boundaries in seconds.

  • MapLibre GL with custom vector tiles
  • PostGIS + TimescaleDB for time‑series geodata
  • Dynamic NDVI / drought / yield heat maps
  • Exportable to GeoJSON, KML, and Shapefile
Climate & pest ensemble — live
Anticipate risk

Climate Modeling & Pest Sentinel

Integrated climate‑downscaling and pest‑disease models give you a 90‑day outlook on drought, heat stress, and pathogen outbreaks. This isn't just weather — it's agricultural intelligence that protects your supply chain.

  • CMIP6‑downscaled ensembles for 14‑day irrigation windows
  • Pest‑detection models trained on 4M+ crop‑disease images
  • Early‑warning system for fall armyworm & wheat rust
  • Automated weekly intelligence briefs (PDF / API)
Technology Stack

Built for Scale & Security

Every component is chosen for performance, compliance, and interoperability — from the edge to the cloud.

NVIDIA Jetson Orin
PostGIS / TimescaleDB
PyTorch / ONNX Runtime
MapLibre GL / GDAL
AWS GovCloud (FedRAMP)
LoRaWAN / NB‑IoT
Apache Kafka
GraphQL / REST APIs
Interactive Demo

Experience the Platform Firsthand

Explore a live sandbox environment with real satellite imagery, sensor telemetry, and AI analytics. No download required — just click and explore the dashboard.

The demo is fully functional and includes sample data from Iowa, Kansas, and California. Nationwide availability coming Q4 2026.