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

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Title:	Parameters influencing queen body mass and their importance as determined by machine learning in honey bees (Apis mellifera carnica)
Authors:	ID Prešern, Janez (Author) ID Smodiš Škerl, Maja Ivana (Author)
Files:	PDF - Presentation file, download (14,78 MB) MD5: 4B5073590D57556F77354138954CB3F0
Language:	English
Typology:	1.01 - Original Scientific Article
Organization:	KIS - Agricultural Institute of Slovenia
Keywords:	honey bee, bee colonies, queen body mass, parameter importance, machine learning, queen bee quality
Publication status:	Published
Publication version:	Author Accepted Manuscript
Year of publishing:	2019
Number of pages:	str. 745-757
Numbering:	Vol. 50
PID:	20.500.12556/DiRROS-11625
UDC:	638:595.7
ISSN on article:	0044-8435
DOI:	10.1007/s13592-019-00683-y
COBISS.SI-ID:	5837672
Publication date in DiRROS:	29.04.2020
Views:	2804
Downloads:	995
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Title:	Apidologie
Shortened title:	Apidologie
Publisher:	Institut National de la Recherche Agronomique
ISSN:	0044-8435
COBISS.SI-ID:	34764800

Language:	Undetermined
Keywords:	Apis mellifera carnica

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