Terradrönare - Adaptive control of UAV in territory exploration
Keywords: UAV, adaptive control, wild boar deterrence, scent dispenser, wolf pheromones, image recognition, environmental monitoring, wildlife management, Android application, YOLOv8, TensorFlow Lite, object detection, machine learning, real-time video processing, habitat protection, agricultural protection, non-invasive techniques, forest monitoring, eco-friendly solutions, modular design
TL;DR: An adaptive UAV system integrates scent dispensers and image recognition to deter wild boars, protect crops, and enhance wildlife management through eco-friendly and non-invasive techniques.
Abstract: Terradrönare is a solution that aims to deter wild boars from damaging crops by using unmanned aerial vehicles (UAVs) equipped with manually operated scent dispensers. The dispenser releases balls filled with wolf scent, an effective natural deterrent for boars. The system incorporates image recognition technology to help users identify optimal target sites, such as suitable tree trunks, to deploy the deterrents. By reducing direct human interaction with wildlife, Terradrönare improves people's and animals' safety while minimizing the need for manual crop monitoring. Acknowledging potential legal restrictions on semi-automated flight, the solution avoids autonomous operations and provides real-time guidance through a mobile Android application displayed on the user's device. This ensures legal compliance while effectively managing wildlife and protecting agricultural resources.
Submission Number: 47
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