Parameters influencing queen body mass and their importance as determined by machine learning in honey bees (Apis mellifera carnica)

Volume: 50, Issue: 5, Pages: 745 - 757
Published: Aug 26, 2019
Abstract
Most parameters describing queen bee quality are reflected in the queen’s body mass, which is in turn considered a robust measure and the best indicator of queen quality. State-of-the-art machine learning was used for the first time to jointly evaluate both biological and rearing parameters influencing queen body mass. Three different models were developed using different combinations of parameters. Regardless of the model composition, we...
Paper Details
Title
Parameters influencing queen body mass and their importance as determined by machine learning in honey bees (Apis mellifera carnica)
Published Date
Aug 26, 2019
Journal
Volume
50
Issue
5
Pages
745 - 757
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