Ghent University Academic Bibliography

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European beekeepers’ interest in digital monitoring technology adoption for improved beehive management

Wim Verbeke (UGent) , Mariam Amadou Diallo (UGent) , Coby van Dooremalen, Marten Schoonman, James H. Williams, Marie Van Espen (UGent) , Marijke D'Haese (UGent) and Dirk de Graaf (UGent)

(2024) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 227.
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Allele frequencies of genetic variants associated with Varroa drone brood resistance (DBR) in Apis mellifera subspecies across the European continent

Regis Lefebre (UGent) , Lina De Smet (UGent) , Anja Tehel, Robert J. Paxton, Emma Bossuyt (UGent) , Wim Verbeke (UGent) , Coby van Dooremalen, Zeynep N. Ulgezen, Trudy van den Bosch, Famke Schaafsma, et al.

(2024) INSECTS. 15(6).
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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, José Paulo Sousa, Marc O. Schäfer, Alexis Beaurepaire, Pim van Gennip, Marten Schoonman, et al.

(2024) INSECTS. 15(1).
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B-GOOD : giving beekeeping guidance by computational-assisted decision making

Dirk de Graaf (UGent) , Martin Bencsik, Lina De Smet (UGent) , Peter Neumann, Marten Schoonman, José Paulo Sousa, Christopher Topping, Wim Verbeke (UGent) , James Williams and Coby van Dooremalen

(2022) RESEARCH IDEAS AND OUTCOMES. 8.

Academic Bibliography

European beekeepers’ interest in digital monitoring technology adoption for improved beehive management

Allele frequencies of genetic variants associated with Varroa drone brood resistance (DBR) in Apis mellifera subspecies across the European continent

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

B-GOOD : giving beekeeping guidance by computational-assisted decision making

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