Edge AI Computer Vision for Varroa Mite Detection
Real-time computer vision system deployed on edge devices to detect Varroa mites on honeybees, demonstrating a complete machine learning lifecycle from data acquisition to hardware-constrained deployment.
Dataset sourced and annotated using Roboflow's labeling tools
RoboflowDeep learning model trained on labeled honeybee images
PythonModel converted to ONNX format for cross-platform compatibility
ONNXConverted to TensorFlow Lite for mobile/edge devices
TFLiteOptimized for resource-constrained environments, enabling real-time inference on mobile devices without cloud dependency.
Addresses a critical problem in beekeeping by providing early Varroa mite detection, helping protect bee colonies and agricultural ecosystems.