Paper Info
Title
Close-Range Photogrammetry and Infrared Imaging for Non-Invasive Honeybee Hive Population Assessment.
Abstract
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.
Year
DOI
Venue
2018
10.3390/ijgi7090350
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
3D reconstruction,computer vision,close-range,photogrammetry,infrared thermography,point cloud,honeybee
Photogrammetry,Population,Computer vision,Close range photogrammetry,3d geometry,Computer science,Beehive,Artificial intelligence,Point cloud,Computation,3D reconstruction
Journal
Volume
Issue
Citations 
7
9
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Luis López-Fernández1496.07
Susana Lagüela2115.33
Pablo Rodríguez-Gonzálvez3264.09
José Antonio Martín-Jiménez401.01
Diego González-Aguilera58119.41