HFR Video-Based Hornet Detection Approach Using Wing-Beat Frequency Analysis
Author:
Affiliation:
1. Graduate School of Advanced Science and Engineering, Hiroshima University,Hiroshima,Japan,739-8527
2. Institute of Livestock and Grassland Science, NARO,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10324456/10324848/10324909.pdf?arnumber=10324909
Reference12 articles.
1. Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring
2. Optical identification of bumblebee species: Effect of morphology on wingbeat frequency
3. Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors
4. AI in apiculture: A novel framework for recognition of invasive insects under unconstrained flying conditions for smart beehives
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