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

Coby van Dooremalen,Zeynep N. Ulgezen,Raffaele Dall'Olio,Ugoline Godeau,Xiaodong Duan,Jose Paulo Sousa,Marc O. Schaefer,Alexis Beaurepaire, Pim van Gennip, Marten Schoonman, Claude Flener,Severine Matthijs,David Claeys Bouuaert,Wim Verbeke, Dana Freshley,Dirk-Jan Valkenburg,Trudy van den Bosch, Famke Schaafsma,Jeroen Peters,Mang Xu,Yves Le Conte,Cedric Alaux,Anne Dalmon,Robert J. Paxton,Anja Tehel,Tabea Streicher,Daniel S. Dezmirean,Alexandru I. Giurgiu,Christopher J. Topping,James Henty Williams,Nuno Capela,Sara Lopes,Fatima Alves,Joana Alves, Joao Bica,Sandra Simoes,Antonio Alves da Silva,Silvia Castro,Joao Loureiro, Eva Horcickova,Martin Bencsik,Adam Mcveigh, Tarun Kumar,Arrigo Moro, April van Delden,Elzbieta Ziolkowska,Michal Filipiak,Lukasz Mikolajczyk,Kirsten Leufgen,Lina De Smet,Dirk C. de Graaf

Insects（2024）

Cited 1|Views20

Key words

honey bee automated health monitoring,data collection method,data standardization and harmonization,work plans and protocols,stakeholder involvement in research,big data on honey bee colonies,bee data portal,beekeeping

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