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  4. ColEval: Honeybee COLony Structure EVALuation for Field Surveys
 
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ColEval: Honeybee COLony Structure EVALuation for Field Surveys

Auteur(s)
Hernandez, Julie 
Collaborateurs de la Faculté des sciences 
Maisonnasse, Albin
Cousin, Marianne
Beri, Constance
Le Quintrec, Corentin
Bouetard, Anthony
Castex, David
Decante, Damien
Servel, Elois
Buchwalder, Gerald
Brunet, Francois
Feschet-Destrella, Estelle
de Bellescize, Kiliana
Kairo, Guillaume
Frontero, Léa
Pédehontaa-Hiaa, Miren
Buisson, Robin
Pouderoux, Theo
Aebi, Alexandre 
Institut de biologie 
Kretzschmar, André
Date de parution
2020-1-5
In
Insects
No
11
De la page
1
A la page
13
Revu par les pairs
1
Mots-clés
  • honeybees

  • colony structure

  • field experiment

  • human estimations of ...

Résumé
Methods for the evaluation and comparison of the structure of numerous honeybee colonies are needed for the development of applied and fundamental field research, as well as to evaluate how the structure and activity of honeybee colonies evolve over time. ColEval complements existing methods, as it uses an online reference image bank for (human) learning and training purposes. ColEval is based on the evaluation of the surface area percentage occupied by different components of a honeybee colony: adult worker bees, open and capped brood, honey, nectar, and pollen. This method is an essential tool for the description of the evolution in the size of honeybee colonies. The procedure makes allowances for tendencies between different observers and uses them to calculate accurate measurements of honeybee colony evaluation. ColEval thus allows for a posteriori comparison of under- or over-evaluation made by different observers working on the same project; it is thus possible to eliminate observer bias in the measurements and to conduct large surveys.
URI
https://libra.unine.ch/handle/123456789/28180
DOI
10.3390/insects11010041
Autre version
https://doi.org/10.3390/insects11010041
Type de publication
Resource Types::text::journal::journal article
Dossier(s) à télécharger
 main article: 2020-03-31_1522_9709.pdf (1.26 MB)
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