Crop Vigor Map

AI-driven vegetation index maps reveal early crop stress across fields, guiding precise interventions to maintain health and maximize yield.

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How does it work?

Manual field scouting and basic indices often miss subtle stress signals and lack scalability across large tracts. AI-enhanced vegetation indices synthesize multi-source imagery to deliver accurate, timely crop health insights for proactive management.

Early Stress Alerts: Detect subtle plant stress before symptoms appear with AI-enhanced indices. This enables growers to apply targeted treatments and prevent yield losses.
Multi-Index Analysis: Support for NDVI, EVI, SAVI and custom indices offers flexibility for different crops and conditions. Users can compare indices side-by-side to choose the most reliable indicator.
High-Resolution Mapping: Integrate satellite, drone, and UAV imagery to generate detailed vigor maps down to sub-field zones. High-resolution analytics uncover localized stress hotspots that are often overlooked.
Scalable Field Coverage: Process imagery across thousands of hectares automatically, reducing manual labor and assessment time. Scalability ensures consistent monitoring throughout the growing season.
Input Optimization: Link stress maps to variable-rate technology for precise fertilizer, water, or pesticide application. This targeted approach lowers costs and environmental impact while boosting crop performance.
Seamless Integration: Embed vegetation index outputs into existing farm management systems and GIS platforms via APIs. This streamlines workflows and accelerates decision-making for agronomists and operations teams.

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.

How does AI-based monitoring compare to traditional NDVI analysis?: AI models enhance NDVI by filtering noise from soil and atmospheric effects, improving accuracy. They also integrate multiple indices to deliver a holistic crop health assessment.
Why is NDVI one of the most popular vegetation indices?: NDVI’s simplicity and proven track record make it widely adopted for basic vigor assessment. However, it can be skewed by soil background and saturation under dense canopies.
Are there limitations to using satellite imagery for stress detection?: Satellite data may have lower spatial resolution and cloud cover gaps, limiting detail in small fields. Combining sources like drones or UAVs overcomes these limitations with higher resolution and flexible timing.
What alternatives exist to NDVI for specific crops?: Indices like EVI and SAVI offer improved performance under dense canopies or variable soil backgrounds. Custom machine learning models can also derive tailored indicators from multi-spectral data.
How does this solution compare with manual field scouting?: Automated mapping covers larger areas faster and provides objective data, reducing reliance on subjective human observations. Manual scouting still adds ground truth validation but is complemented by remote sensing insights.
Can I customize stress thresholds and alerts for my operation?: Yes, users can define custom thresholds and alert rules based on crop type and local conditions. The platform’s flexibility ensures alerts align with your risk tolerance and management practices.

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.

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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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