Abstract
Honeybees, in their role as pollinators, are vital to both agriculture and the wider ecosystem. However, they have experienced a serious decline across much of the world over recent years. Monitoring their well-being, and taking appropriate action if that is in jeopardy, has thus become a matter of great importance. In this paper, we present an approach based on computer vision to monitor bee activity and motion in the vicinity of an entrance/exit to a hive, including identifying and counting the number of bees approaching or leaving the hive in a given image frame or sequence of image frames.
| Original language | English |
|---|---|
| Title of host publication | This work was supported by Kingston University. Published in Iglesias, Carlos A., Novella, Jose Ignacio, Ricci, Alessandro, Pinto, Diego Rivera and Roman, Dumitru (eds.) (2020) Intelligent environments 2020. Amsterdam : IOS Press BV. Ambient Intelligence and Smart Environments, 28, pp. 152-161. ISBN: 9781643680903. |
| DOIs | |
| Publication status | Published - Jul 2020 |
Bibliographical note
Note: This work was supported by Kingston University.Published in Iglesias, Carlos A., Novella, Jose Ignacio, Ricci, Alessandro, Pinto, Diego Rivera and Roman, Dumitru (eds.) (2020) Intelligent environments 2020. Amsterdam : IOS Press BV. Ambient Intelligence and Smart Environments, 28, pp. 152-161. ISBN: 9781643680903.
Keywords
- Computer science and informatics
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A computer vision approach to monitoring the activity and well-being of honeybees
Kachole, S., Hunter, G. & Duran, O., Jul 2020.Research output: Contribution to conference › Paper › peer-review
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