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AgriSense review

#22 of 27 in Crop Monitoring Software

Tracks satellite-based crop health trends and flags field changes for scouting.

6.1/10Editor score
AgriSense6.1 Visit AgriSense

Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026

AgriSense is OREL Vision’s web dashboard for monitoring crop and soil indicators from Sentinel-2 satellite imagery. It is aimed at farms, agribusinesses, government agriculture departments, and development programmes that need to follow field-level crop health over time. The system processes imagery at 10 m resolution for field boundaries and provides responsive phone-browser access alongside an Android wrapper app. Its focus is ongoing satellite monitoring rather than a broader mix of field sensors or drone imagery.

The monitoring workflow combines six indices—NDVI, NDRE, NDMI, NDWI, SAVI, and BSI—with field histories, trend charts, map layers, and alerts for unexpected changes against a field’s recent trend. For wheat, maize, cotton, rice, sugarcane, and potato, AgriSense also gives likely causes and scouting guidance. Soil estimates cover pH, nitrogen, phosphorus, potassium, and organic matter. These indicators can help teams decide where to investigate, but the product’s own guidance calls for field confirmation before acting on alerts; it should support scouting decisions, not replace them.

AgriSense also stores field alerts and supports farms, fields, users, and role control, with cloud and mobile deployment. Its crop-specific coverage and history features suit teams seeking satellite-based trend tracking, especially when they need to prioritize field follow-up. The narrow data approach is a poor fit for operations that depend on drone imagery or sensor feeds, and teams looking for monitoring beyond the six named crops may prefer a product with a broader stated crop scope. The vendor uses a contact-sales pricing model, so buyers should request a quote to assess fit against their budget.

AgriSense pros and cons

  • Where it wins
    • Calculates six Sentinel-2 indices at 10 m resolution for field boundaries
    • Combines field histories, trend charts, map layers, and change alerts
    • Offers crop-specific causes and scouting guidance for six crops
  • Where it doesn't
    • Relies on satellite imagery rather than drone imagery or sensor data
    • Alerts need field confirmation before teams act
    • Pricing requires contacting sales

AgriSense fact sheet, pricing and score →

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