Honey Bee (APIS Mellifera) Colony Monitoring Methods With A Potential Application Of The Machine Intelligence Methods
| but.event.date | 23.04.2020 | cs |
| but.event.title | Student EEICT 2020 | cs |
| dc.contributor.author | Bilík, Šimon | |
| dc.date.accessioned | 2021-07-15T11:17:22Z | |
| dc.date.available | 2021-07-15T11:17:22Z | |
| dc.date.issued | 2020 | cs |
| dc.description.abstract | This article brings an overview of the bee monitoring methods and is divided into two parts. The first part, which covers the general monitoring methods, describes the methods based on the sensor fusion data and acoustic measurements and the second part focuses on computer vision methods based applications for the Varroa Destructor mite detection. The conclusion drafts possible extension of those methods with the use of the deep learning methods and also the future direction of the author’s research. | en |
| dc.format | text | cs |
| dc.format.extent | 351-355 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Proceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 351-355. ISBN 978-80-214-5867-3 | cs |
| dc.identifier.isbn | 978-80-214-5867-3 | |
| dc.identifier.uri | http://hdl.handle.net/11012/200594 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.relation.ispartof | Proceedings I of the 26st Conference STUDENT EEICT 2020: General papers | en |
| dc.relation.uri | https://conf.feec.vutbr.cz/eeict/EEICT2020 | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights.access | openAccess | en |
| dc.subject | Honey bee monitoring | en |
| dc.subject | Varroa Destructor | en |
| dc.subject | Machine intelligence | en |
| dc.title | Honey Bee (APIS Mellifera) Colony Monitoring Methods With A Potential Application Of The Machine Intelligence Methods | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 351-eeict_1.pdf
- Size:
- 657.25 KB
- Format:
- Adobe Portable Document Format
- Description: