Audio IoT Sensors and RNNs Enable Real‑Time Honey Bee Colony Monitoring

A new study explores monitoring honey bee colonies with sound‑based IoT devices. Audio sensors placed inside hives capture colony acoustics continuously. Collected audio is transformed into tensorgrams for structured analysis. Recurrent neural networks process the tensorgrams to detect colony health indicators. The approach aims to identify stressors such as disease or queen loss early. Real‑time analysis could help beekeepers intervene before large losses occur. The method leverages low‑cost hardware and scalable cloud processing. Results are presented in an arXiv preprint, inviting further validation.