Projects
Real-world impact through precision geomatics
Real-world impact through precision geomatics
Crop damage caused by wildlife remains a major challenge for farmers, often resulting in significant financial losses and lengthy claims processes. In partnership with AFSC, we developed a first-of-its-kind AI model capable of automatically detecting and tracing animal tracks from aerial imagery. This innovation reduced claims processing times by up to 60%, enabling faster, more accurate assessments and ensuring farmers receive timely and fair compensation.
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Leveraging RADARSAT satellite imagery, we mapped cultivated areas across key rice-producing regions and generated reliable yield forecasts for the province of Nueva Ecija, Philippines. This data-driven approach provided stakeholders with timely insights to support planning, resource allocation, and food security initiatives.
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In collaboration with AFSC, we developed an advanced AI model capable of accurately delineating farm boundaries while intelligently excluding roads, equipment, and adjacent properties. By automating what was previously a manual and error-prone process, this solution significantly improves the precision and consistency of claims assessments.
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