Ghent University Academic Bibliography

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Remote and automated detection of Asian hornets (Vespa velutina nigrithorax) at an apiary, using spectral features of their hovering flight sounds

Harriet Hall, Martin Bencsik, Nuno Capela, José Paulo Sousa and Dirk de Graaf (UGent)

(2025) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 235.
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Quantitative assessments of honeybee colony’s response to an artificial vibrational pulse resulting in non-invasive measurements of colony’s overall mobility and restfulness

Martin Bencsik, Adam McVeigh, David Claeys Boúúaert, Nuno Capela, Frederick Penny, Michael Ian Newton, José Paulo Sousa and Dirk de Graaf (UGent)

(2024) SCIENTIFIC REPORTS. 14(1).
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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

Remote and automated detection of Asian hornets (Vespa velutina nigrithorax) at an apiary, using spectral features of their hovering flight sounds

Quantitative assessments of honeybee colony’s response to an artificial vibrational pulse resulting in non-invasive measurements of colony’s overall mobility and restfulness

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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