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

Honey bee colonies have great societal and economic importance. The main challenge that beekeepers face is keeping bee colonies healthy under ever-changing environmental conditions. In the past two decades, beekeepers that manage colonies of Western honey bees (<i>Apis mellifera</i>) have become inc...

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Autors principals:	Coby van Dooremalen, Zeynep N. Ulgezen, Raffaele Dall’Olio, Ugoline Godeau, Xiaodong Duan, José Paulo Sousa, Marc O. Schäfer, Alexis Beaurepaire, Pim van Gennip, Marten Schoonman, Claude Flener, Severine Matthijs, David Claeys Boúúaert, 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, Fátima Alves, Joana Alves, João Bica, Sandra Simões, António Alves da Silva, Sílvia Castro, João Loureiro, Eva Horčičková, Martin Bencsik, Adam McVeigh, Tarun Kumar, Arrigo Moro, April van Delden, Elżbieta Ziółkowska, Michał Filipiak, Łukasz Mikołajczyk, Kirsten Leufgen, Lina De Smet, Dirk C. de Graaf
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-01-01
Col·lecció:	Insects
Matèries:	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
Accés en línia:	https://www.mdpi.com/2075-4450/15/1/76
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