- Tytuł:
- Bridging the gap between field experiments and machine learning : the EC H2020 B-GOOD project as a case study towards automated predictive health monitoring of Honey bee colonies
- Autorzy:
-
Alaux, Cedric
Topping, Christopher J.
Ulgezen, Zeynep N.
Duan, Xiaodong
Bencsik, Martin
Beaurepaire, Alexis
Alves, Joana
Schoonman, Marten
Flener, Claude
Verbeke, Wim
Filipiak, Michał
Le Conte, Yves
Dall’Olio, Raffaele
Sousa, José Paulo
van Gennip, Pim
Ziółkowska, Elżbieta
Dezmirean, Daniel S.
McVeigh, Adam
Moro, Arrigo
Peters, Jeroen
Alves, Fátima
Alves da Silva, António
De Smet, Lina
Freshley, Dana
Godeau, Ugoline
Paxton, Robert J.
van Dooremalen, Coby
Capela, Nuno
Lopes, Sara
Simões, Sandra
Valkenburg, Dirk-Jan
Schäfer, Marc O.
Castro, Sílvia
Schaafsma, Famke
van den Bosch, Trudy
Tehel, Anja
Kumar, Tarun
Dalmon, Anne
de Graaf, Dirk C.
Giurgiu, Alexandru I.
van Delden, April
Mikołajczyk, Łukasz
Loureiro, João
Xu, Mang
Claeys Boúúaert, David
Bica, João
Horcicková, Eva
Matthijs, Severine
Streicher, Tabea
Leufgen, Kirsten
Williams, James Henty - Data publikacji:
- 2024
- Słowa kluczowe:
-
work plans and protocols
honey bee automated health monitoring
bee data portal
data standardization and harmonization
beekeeping
stakeholder involvement in research
big data on honey bee colonies
data collection method - Pokaż więcej
- Dostawca treści:
- Repozytorium Uniwersytetu Jagiellońskiego
Artykuł