B4.3 Cognitive Integrated Sensor Systems for In-Hive Varroa Infestation Level Estimation based on Temperature-Modulated Gas Sensing
- Event
- SMSI 2021
2021-05-03 - 2021-05-06
digital - Band
- SMSI 2021 - Sensors and Instrumentation
- Chapter
- B4 Bio and Chemo Sensors
- Author(s)
- A. König - TU Kaiserslautern, Kaiserslautern (Germany)
- Pages
- 127 - 128
- DOI
- 10.5162/SMSI2021/B4.3
- ISBN
- 978-3-9819376-4-0
- Price
- free
Abstract
Bees are recognized as an indispensable link in the human food chain and general ecological system. Numerous threats, from pesticides to parasites, endanger bees and frequently lead to hive collapse. The varroa destructor mite is a key threat to bee keeping and the monitoring of hive infestation level is of major concern for effective treatment. Sensors and automation, e.g., as in condition-monitoring and Industry 4.0 with machine learning offer help. Here, from our IndusBee4.0 project, an integrated inhive gas sensing system, denoted as BeE-Nose, for infestation level estimation and its application to a colony in the bee season 2020 from July to September is presented with first results of varroa infestation level estimation and automated treatment need detection.