2024-03-28T17:03:14Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/109962020-12-10T09:02:12Zcom_10612_17col_10612_18
00925njm 22002777a 4500
dc
Lopez Fernandez, Luis
author
Lagüela López, Susana
author
Pablo, Rodríguez-Gonzálvez
author
José Antonio, Martín-Jimenez
author
Diego, González-Aguilera
author
2019-07-04
Close-range photogrammetry and thermographic imaging techniques are used for the acquisition of all the data needed for the non-invasive assessment of a honeybee hive population. Temperature values complemented with precise 3D geometry generated using novel close-range photogrammetric and computer vision algorithms are used for the computation of the inner beehive temperature at each point of its surface. The methodology was validated through its application to three reference beehives with different population levels. The temperatures reached by the exterior surfaces of the hives showed a direct correlation with the population level. In addition, the knowledge of the 3D reality of the hives and the position of each temperature value allowed the positioning of the bee colonies without the need to open the hives. This way, the state of honeybee hives regarding the growth of population can be estimated without disturbing its natural development.
ISPRS International Journal of Geo-Information
https://doi.org/10.3390/ijgi7090350
http://hdl.handle.net/10612/10996
Cartografía
Close-range photogrammetry and infrared imaging for non-invasive honeybee hive population assessment