Honey Bee Colony Monitoring via Audio IoT Sensors, Tensorgrams and RNNs
Summary
The paper presents a method for monitoring honey bee colony strength using audio IoT sensors and advanced ML representations. It introduces modulation tensorgrams to preserve temporal dynamics, feeding them into CNN and CRDNN models to improve accuracy and cross-hive generalizability, with explainability via saliency maps.