Livestock Monitor

Satellite imagery with AI analytics tracks herd distribution and pasture health, optimizing resource allocation and improving livestock welfare and productivity.

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How does it work?

Manual herd checks and station-based sensors provide limited coverage, delaying detection of grazing imbalance, water shortages, and health risks. Satellite imagery combined with AI analytics delivers frequent, high-resolution herd and pasture insights, enabling timely interventions and resource optimization.

Real-time Herd Tracking: The platform processes satellite imagery daily to map herd locations and movement patterns. This continuous visibility allows managers to detect deviations and redistribute livestock efficiently.
Pasture Health Insights: Normalized Difference Vegetation Index (NDVI) and other indices monitor forage quality and biomass. Early detection of overgrazed or underutilized areas supports rotational grazing and pasture recovery.
Water Source Monitoring: Satellite analytics track water availability in ponds and streams across grazing areas. Alerts on drying water sources help plan water delivery before livestock experience shortages.
Disease Risk Alerts: By analyzing vegetation stress and herd proximity patterns, the system flags conditions associated with disease outbreaks. Timely alerts support preventive measures, reducing mortality and treatment costs.
Feed and Nutrition Optimization: Integrating biomass estimates with herd nutritional requirements enables precise supplemental feeding recommendations. This reduces feed waste and ensures optimal growth and health.
Scalable Regional Insights: Cloud-based analytics cover thousands of hectares and multiple farms under a unified dashboard. This scalability supports large-scale ranch operations and cooperative grazing management.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

What makes satellite-based livestock monitoring different from drone surveys?: Satellites offer broad, frequent coverage without flight logistics, enabling monitoring of remote or large-scale grazing areas. While drones provide higher resolution, satellites deliver cost-effective, routine data at regional scales.
Why is satellite monitoring gaining popularity in livestock management?: Managers value its ability to deliver consistent, nationwide visibility over extensive pastures without manual fieldwork. Integration with AI analytics simplifies data interpretation, leading to faster, data-driven decisions.
How does this approach compare to ground sensor networks?: Ground sensors provide localized data on soil moisture or animal biometrics, but require deployment and maintenance. Satellite monitoring complements sensors by offering macro-level insights into herd distribution and pasture conditions.
Can I integrate satellite analytics with existing farm management systems?: Yes, the platform supports API and common GIS formats for seamless integration with farm management and ERP systems. This enables combining satellite insights with on-site sensor data and operational records.
How often are satellite-based livestock maps updated?: Update frequency depends on satellite revisit cycles, typically every 1–3 days for high-resolution constellations. Our AI pipeline processes new imagery immediately, delivering alerts and maps as soon as data is available.
What are the limitations of satellite livestock monitoring?: Cloud cover can delay image acquisition and affect visibility of ground features, requiring alternative data sources or gap-filling methods. Additionally, resolution constraints may obscure fine-scale details compared to drone or ground-based measurements.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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