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    Historical Crop Monitoring

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    SatSure Crop Acreage delivers precise agricultural data for historical and in-season crop acreage analysis for every crop season, in-house developed geospatial boundary delineation, and associated crop risk assessment. Leveraging advanced satellite imagery and AI-driven analytics, this product enables stakeholders to integrate data into business rule engines, help back-test models, and optimize decision-making for Agriculture, insurance, and related stakeholders from various sectors.

    Overview

    Crop Acreage is a geospatial intelligence solution designed to transform agricultural decision-making through high-resolution satellite data and predictive analytics. By combining optical (Sentinel-2) and synthetic aperture radar (SAR) imagery (Sentinel-1), the product ensures uninterrupted monitoring even during cloud cover, delivering real-time insights into crop health, acreage, and growth patterns.

    Key Features: Historical Data Analysis - Analyze multi-year crop acreage trends (2019-2024) to establish baselines and predict future patterns. Proprietary AI/ML models achieve over 85% accuracy in crop classification, validated against ground truth data from government and open sources.

    In-Season Acreage Monitoring - Receive fortnightly updates during critical growth stages of the season with NDVI/NDWI indices for crop health assessment, acreage changes, and harvest readiness alerts.

    Geospatial Boundary Mapping - Accurately delineate farm-level and regional boundaries using 10-meter resolution satellite data, enabling targeted interventions and resource allocation.

    Risk Mitigation - Detect early signs of crop stress, water scarcity, or pest outbreaks through threshold-based alerts, allowing proactive responses to safeguard yields. Scalable Integration: Access data via API endpoints (JSON, GeoJSON, CSV) or dashboards, with seamless integration into ERP, CRM, and inventory systems for unified decision-making.

    Highlights

    • Precision Acreage Estimation - Map crop boundaries with 10-meter resolution using Sentinel-1/2 and AI-driven models, processing over 85 million hectares. Cloud-Penetrating Technology - Cygnus AI reconstructs optical imagery from SAR data, ensuring continuous monitoring despite cloud cover.
    • Global Scalability - Deployed across countries over 5 continents, with modular architecture adaptable to regional crops, climates, and regulatory requirements. Farmer Impact - Supports 2.2 million farmers annually with data-driven insights, improving yield predictability and resource efficiency. Compliance Ready - Aligns with data privacy regulations and integrates with government systems for streamlined reporting.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Historical Crop Monitoring

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Description
    Cost/month
    per_sqkm
    Historical Crop Monitoring is conducted on a contract basis, based on the total area (in sq. km) to be monitored.
    $0.001

    Vendor refund policy

    No Refund

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Delivery details

    Software as a Service (SaaS)

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    Support

    Vendor support

    Technical Support, Training Support, Contact - agri@satsure.co 

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