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This study presents an automated UAV-based system using AI for real-time detection and heat mapping of potential mosquito breeding sites to combat dengue in the Philippines. The system employs dual YOLOv8 models for object detection and water segmentation, achieving 93.2% accuracy and a strong correlation (R² = 0.937) with dengue cases. This innovative approach offers a cost-effective and scalable solution for targeted public health interventions.

Author

Bhavisha Suthar

Language

EN