- 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:
-
Schäfer, Marc O
Streicher, Tabea
Leufgen, Kirsten
Loureiro, João
Dall’olio, Raffaele
Xu, Mang
Ziółkowska, Elżbieta
Lopes, Sara
Alves da Silva, António
Mikołajczyk, Łukasz
Peters, Jeroen
Valkenburg, Dirk-Jan
Boúúaert, David Claeys
de Smet, Lina
Bica, João
van Gennip, Pim
Le Conte, Yves
van Dooremalen, Coby
Alaux, Cedric
Alves, Joana
Capela, Nuno
van Delden, April
Topping, Christopher J
Ulgezen, Zeynep
Godeau, Ugoline
van den Bosch, Trudy
Horčičková, Eva
Schoonman, Marten
Bencsik, Martin
Tehel, Anja
Dezmirean, Daniel S
Matthijs, Severine
Simões, Sandra
de Graaf, Dirk C
Schaafsma, Famke
Verbeke, Wim
Castro, Sílvia
Kumar, Tarun
Flener, Claude
Filipiak, Michał
Williams, James Henty
Alves, Fátima
Beaurepaire, Alexis
Dalmon, Anne
Freshley, Dana
Mcveigh, Adam
Duan, Xiaodong
Moro, Arrigo
Paxton, Robert J
Giurgiu, Alexandru I
Sousa, José Paulo - Data publikacji:
- 2024-01-22
- Wydawca:
- MDPI
- Słowa kluczowe:
-
beekeeping
honey bee automated health monitoring
colony
health
protocol
method
standarization
beekeeper
ecology
stakeholder
B-GOOD
work plan
honey bee
apiary
data
bee
collection - Pokaż więcej
- Dostawca treści:
- Repozytorium Centrum Otwartej Nauki