Vehicle Color-Type Detection Based on YOLOv8 and K-Means
There is provided a computing device for managing honeybee colonies for pollination of crop(s), comprises: a processor(s) configured for: for each one of a plurality of honeybee colonies positioned for pollination of crop(s) in a geographical area: obtaining in-colony feature(s), computed based on output of internal sensor(s) monitoring the honeybee colony, wherein the in-colony feature(s) is indicative of an internal state of the honeybee colony positioned for pollination of crop(s) in the geographical area, obtaining out-colony feature(s), computed based on output of external sensor(s) monitoring the environment of the honeybee colony, wherein the out-colony feature is indicative of an external environment of the honeybee colony, feeding a combination of the in-colony feature(s) and the out-colony feature(s) into a machine learning model, and obtaining an outcome indicating pollination effectiveness of the honeybee colony.
Authors
- Orhan Yaman (ORCID: https://orcid.org/0000-0001-9623-2284)
- İrfan Kılıç (ORCID: https://orcid.org/0000-0001-5079-2825)
- Mehmet Karaköse (ORCID: https://orcid.org/0000-0002-3276-3788)
- Nafiye Nur Apaydın
- İrem Çiçek (ORCID: https://orcid.org/0009-0001-4932-8969)
Institutions
- Fırat University (TR)
Publication Details
- Journal
- Journal of Physical Chemistry and Functional Materials
- Published
- 2026-06-29
- DOI
- https://doi.org/10.54565/jphcfum.1951468
- Primary Topic
- Insect and Arachnid Ecology and Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu