Crop Area Mapping

Automatically map field boundaries, quantify planted acreage, and identify crop types across seasons using AI-powered multispectral and SAR imagery analytics.

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How does it work?

Manual surveys and self-reported field data are time-intensive, prone to inconsistencies, and difficult to scale across large farming operations. AI-based geospatial analytics automate boundary detection and crop classification, delivering accurate, scalable acreage metrics for better agronomic and regulatory decision-making.

Precise Boundaries: AI-driven segmentation automatically delineates exact field outlines from multispectral and SAR imagery. This reduces manual digitization errors and ensures consistent acreage calculations over large areas.
Automated Classification: Deep learning models classify crop types with over 95% accuracy using spectral and temporal data. This eliminates labor-intensive labeling and provides standardized crop maps for planning and reporting.
Scalable Processing: The platform processes satellite and drone data across thousands of square kilometers in parallel. Scalability supports regional to national monitoring without additional personnel costs.
Near Real-time Updates: Automated pipelines ingest new imagery after each satellite pass or drone flight to refresh maps. Stakeholders receive up-to-date acreage and crop-type insights for timely interventions.
Regulatory Compliance: Exportable reports match federal and local subsidy and audit formats. This ensures verifiable documentation and streamlines compliance workflows.
Seamless Integration: APIs connect mapping outputs to farm management systems and GIS platforms. Integrated workflows enhance data accessibility and support advanced analytics.

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 crop classification compare to manual surveys?: AI mapping delivers faster, more consistent field outlines and crop labels across large areas. Manual surveys require intensive fieldwork, are prone to human error, and have limited scalability.
Why is this solution popular among agribusinesses?: It provides standardized, high-accuracy acreage and crop-type data that supports supply chain planning and risk assessment. Reduced field visits accelerate decision-making and lower operational costs.
What imagery sources work best for crop-type classification?: Multispectral satellite platforms like Sentinel-2 and high-resolution drone imagery offer detailed spectral bands for crop differentiation. Synthetic aperture radar (SAR) data enhances performance in cloudy or low-light conditions.
Are there limitations when classifying similar crops?: Spectrally similar crops may require temporal analysis of growth patterns to distinguish accurately. Model accuracy improves with additional time-series data and field-based ground truth samples.
How frequently can I update acreage maps?: Satellite imagery updates allow refreshes every 5 to 10 days, while drone flights enable on-demand mapping. Automated processing pipelines ensure new data is integrated and delivered promptly.
What alternatives exist to AI-based mapping?: Traditional GIS digitization relies on manual boundary tracing and static crop registries, which are labor-intensive and inconsistent. This approach lacks the scalability, speed, and accuracy of AI-driven solutions.

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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