Live Geospatial Intelligence

See Every Acre.
Know Every Risk.
Act Before It's Too Late.

TerraVision Analytics fuses satellite imagery, drone telemetry, IoT sensors, and AI into a single edge-native platform — delivering real-time geospatial intelligence across millions of agricultural acres for USDA, agribusinesses, and food-security agencies.

0
Billion Acres
Monitored
0
% Uptime
SLA
0
Min Latency
Edge → Cloud
ACTIVE MONITORING ZONELIVE
38.8977° N
Latitude
77.0365° W
Longitude
NDVI SPECTRAL ANALYSISLIVE
0.10 — Bare Avg: 0.74 0.90 — Dense
EDGE SENSOR FEEDLIVE
Soil Moisture
68%
Canopy Temp
31.4°C
NDVI Score
0.74
Precipitation
2.2 mm

Trusted by leading agricultural & federal institutions

Core Capabilities

AI Meets the Earth's Surface — at Every Scale

Six integrated capability pillars power the TerraVision Analytics platform — from raw sensor data to decision-ready intelligence products.

Multispectral Earth Observation

Fuse Sentinel-2, Landsat-9, PlanetScope, and private SAR archives into time-series composites. Near-daily revisit cycles for any landmass at 3–10 m resolution.

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On-Device AI Inference

Quantized deep learning models run at the edge on NVIDIA Jetson and Raspberry Pi CM4 nodes — no round-trip to the cloud, sub-200 ms inference per image tile.

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Live GIS Dashboard

Web-GIS interface powered by MapLibre GL and PostGIS — supports vector tile overlays, real-time telemetry streams, NDVI heat maps, and administrative boundary queries.

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Predictive Climate Modeling

CMIP6-downscaled weather ensembles combined with ENSO teleconnections give agronomists 14-day irrigation windows and 90-day drought risk probabilities.

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Pest & Disease Sentinel

Computer-vision models trained on 4M+ annotated crop-disease images detect early blight, fall armyworm, and viral infection 14 days before visible symptoms appear.

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Automated Intelligence Reports

Scheduled PDF/API intelligence briefs with county-level yield estimates, drought-risk scores, and actionable recommendations — formatted for USDA FAS, RMA, and FSA workflows.

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Platform Architecture

Edge-Native. Cloud-Synchronized.
Decision-Ready.

A three-tier architecture keeps intelligence flowing — from the sensor array in the field to the analyst's dashboard in Washington — with no single point of failure.

Tier 1 — Collect

Field Edge Nodes

Ruggedized IoT hubs (NVIDIA Jetson / Pi CM4) harvest multispectral cameras, soil probes, weather stations, and UAV streams. Offline-capable with local SSD buffering.

Tier 2 — Process

Regional Compute Clusters

GPU-accelerated micro-DCs at USDA Service Centers aggregate, cleanse, and run AI inference on raw imagery — compressed intelligence packets sync to cloud every 15 min.

Tier 3 — Distribute

Cloud Intelligence Layer

Multi-region AWS GovCloud deployment with PostGIS, Kafka streams, and REST/GraphQL APIs. FedRAMP-moderate compliant data residency in CONUS.

NVIDIA Jetson Orin PostGIS / TimescaleDB PyTorch / ONNX Runtime MapLibre GL / GDAL AWS GovCloud LoRaWAN / NB-IoT Apache Kafka FedRAMP Moderate Sentinel-2 / Landsat-9 GraphQL / REST APIs
2.4B+
Acres under active surveillance
140M
AI inference events daily
99.7%
Disease detection accuracy
< 15 min
Field-to-dashboard latency
Use Cases

Intelligence for Every Agricultural Decision

From the farm gate to the policy table, TerraVision Analytics delivers data-driven insights that change what's possible.

Crop Health Monitoring

Continuous NDVI, chlorophyll index, and canopy-temperature analysis detects stress, disease, and nutrient deficiencies 10–14 days before visible symptoms emerge.

↑ 23% earlier intervention

Precision Irrigation Management

Evapotranspiration modeling and real-time soil-moisture telemetry enable variable-rate irrigation schedules, cutting water waste by up to 30% per growing season.

↓ 30% water consumption

Pest & Disease Surveillance

Continental-scale early-warning systems for fungal outbreaks, insect infestations, and viral pathogens — protecting yields and reducing chemical input costs.

↓ 18% pesticide spend

Yield Forecasting

Machine-learning models integrate historical yields, weather ensembles, and satellite imagery for county-level production estimates 60 days before harvest.

±2.1% forecast accuracy

Climate Adaptation Metrics

Longitudinal datasets track shifting growing seasons, drought severity indices, and carbon sequestration to inform climate-smart agricultural policy.

30-yr trend datasets

Equipment & Fleet Analytics

IoT telemetry from harvesters, sprayers, and planters identifies predictive-maintenance triggers and optimizes multi-machine logistics across large operations.

↓ 14% downtime
Client Testimonials

Trusted by Those Who Feed the Nation

★★★★★

"TerraVision's edge architecture gives us the ability to monitor millions of acres in near-real time. The drought-risk scores and disease alerts have transformed how we allocate resources."

DR
Dr. Elena Reyes
Director, Geospatial Analytics · USDA NASS
★★★★★

"The yield-forecasting module cut our procurement uncertainty from ±18% down to ±2.1% three months out. That margin improvement is worth tens of millions in commodity hedging."

JM
James Mwangi
VP Grain Markets · Cargill Global Agri
★★★★★

"We integrated TerraVision's REST API in two weeks. Their PostGIS data model is clean, the GraphQL layer is responsive, and the Kafka streams feed directly into our own BI stack."

SK
Sara Kim
Chief Data Officer · Pioneer Hi-Bred
Start Monitoring

Ready to Transform
Agricultural Intelligence?

Join USDA agencies and forward-looking agribusinesses already leveraging edge-native AI to secure America's food supply and anticipate tomorrow's risks today.