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