Enterprise Data
Infrastructure
Comprehensive data pipelines that collect, process, and enrich agricultural data from satellites, weather stations, and market sources worldwide.
Comprehensive Coverage
We aggregate data from the world's most reliable sources, ensuring complete coverage of agricultural markets globally.
Satellite Imagery
Multi-spectral satellite data from leading providers, processed for vegetation indices, crop health, and land use analysis.
Weather Data
Real-time and historical weather data from global weather stations, radar networks, and forecast models.
Market Data
Live commodity prices, futures curves, basis data, and trading volumes from major exchanges worldwide.
Geospatial Data
Comprehensive land registry, soil maps, elevation models, and infrastructure data for precision analysis.
Enterprise Data Pipeline
Our robust data pipeline ensures data quality, consistency, and availability at every step.
Ingestion
Real-time data streams from 47+ sources globally
Processing
Clean, normalize, and validate incoming data
Enrichment
Cross-reference and enhance with AI models
Storage
Distributed storage with instant retrieval
import nuvlio
client = nuvlio.Client(api_key="your_key")
# Get satellite imagery analysis
satellite = client.data.satellite(
farm_id="BR-MT-001234",
date_range=["2024-01-01", "2024-06-30"],
indices=["ndvi", "evi", "moisture"]
)
# Get weather forecast
weather = client.data.weather(
lat=-15.601411,
lon=-56.097892,
forecast_days=15
)
# Get market prices
prices = client.data.market(
commodity="soybean",
exchange="CBOT",
period="1Y"
)
print(satellite.to_dataframe())