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Logo Grupo Olho D'águaSugarcane

From manual monitoring to automatic alerts: how Grupo Olho D'água reduced sugarcane burning by 30% with AI

30%reduction in burned sugarcane area compared to previous years
10 kmdistance with validated coordinate precision
24/7replacement of manual patrols with automatic alerts and documentation for certifications

The challenge before PANTERA

  • Prevention was carried out in a traditional and manual way, requiring teams to blindly patrol areas to check for signs of smoke
  • There was a lack of central technology to coordinate brigades and provide tactical precision to fighters in the field
  • Verification took time, response time was slow and uncertain, making it difficult to protect life and crops on critical days

How PANTERA solved it

  • Cameras brought early detection within a 10 km radius, with over 90% accuracy, without relying on continuous human patrols
  • Image triangulation pinpoints the exact location of the occurrence, dispatching fighters directly to the correct coordinate
  • Platform records generated solid documentation, shielding the group in audits and maintaining their international certifications

The camera triangulation helps a lot. The system confirms the exact location so no one needs to go check, the firefighter gets dispatched immediately. It's very efficient from a documentation standpoint.

Marco MendonçaTechnical Advisor to the Board, Grupo Olho D'água

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