Articles | Volume 11, issue 1
https://doi.org/10.5194/jsss-11-29-2022
https://doi.org/10.5194/jsss-11-29-2022
Regular research article
 | 
20 Jan 2022
Regular research article |  | 20 Jan 2022

An in-hive soft sensor based on phase space features for Varroa infestation level estimation and treatment need detection

Andreas König

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Cited articles

Adafruit: DHT11, DHT22 and AM2302 Sensors, Adafruit [code], available at: https://cdn-learn.adafruit.com/downloads/pdf/dht.pdf, last access: 19 November 2021. a, b
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AVIA Semiconductor: HX711 – 24-Bit Analog-to-Digital Converter (ADC) for Weigh Scales, available at: https://datasheetspdf.com/pdf-file/842201/Aviasemiconductor/HX711/1 (last access: 19 November 2021), 2020. a
Ba̧k, B., Wilk, J., Artiemjew, P., Wilde, J., and Siuda, M.: Diagnosis of Varroosis Based on Bee Brood Samples Testing with Use of Semiconductor Gas Sensors, Sensors, 20, 4014, https://doi.org/10.3390/s20144014, 2020. a, b
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Short summary
Bees play a major role in our ecosystem and the human food supply chain. Numerous threats, from pesticides to parasites, endanger bees and possibly cause bee colony collapse. The Varroa mite is one major parasite, and its timely detection and treatment is a key task for beekeepers. Contemporary sensors, electronics, and AI/PR allow vital parameters of bee hives to be monitored. Recent gas sensors (e.g., SGP30 or BME680) allow continuous in-hive parameter and Varroa population monitoring.