Honey Bee Colony Monitoring via Audio IoT Sensors, Tensorgrams and RNNs
Researchers have developed a new method for monitoring honey bee colony health using audio IoT sensors and recurrent neural networks. The study, published on arXiv, aims to improve colony strength assessment through advanced signal processing.
Why it matters
Innovative monitoring technologies are essential for addressing the global decline in bee populations, which are critical for agricultural stability.
Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Mahsa Abdollahi [ view email ] [v1] Wed, 22 Jul 2026 17:13:30 UTC (4,623 KB) Full-text links: Access Paper: View a PDF of the paper titled Improved Monitoring of Honey bee Colony Strength via Audio IoT Sensors, Modulation Tensorgrams and Recurrent Neural Networks, by Mahsa Abdollahi and 6 other authors View PDF TeX Source view license Current browse context: eess.AS < prev | next > new | recent | 2026-07 Change to browse by: eess References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps?
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