In-hive flatbed scanners for non-destructive, long-term monitoring of honey bee brood, pathogens and pests

Honey bee colonies face significant threats from pathogens and pests, including chalkbrood disease caused by Ascosphaera apis and Varroa destructor mites. Traditional monitoring methods for these issues are often destructive, hindering continuous and detailed observations. This study introduces a novel, non-destructive monitoring technique using a modified flatbed scanner integrated into a honey bee brood frame. The scanner, housed within a Dadant frame and connected to a Raspberry Pi, captures high-resolution images of the brood cells at regular intervals. This method enables continuous observation of the brood life cycle, including egg laying, larval development, and the presence of pathogens and mites. Over a three-month pilot study, the scanner successfully monitored 419 cells, capturing images of each cell and documenting critical events such as Varroa infestations and chalkbrood development. The method demonstrated high-resolution imaging capabilities, enabling detailed analysis of pathogen dynamics and hygienic behaviors like Varroa-sensitive hygiene (VSH) without apparent disturbance of the colony. The results revealed a high frequency of brood removal and pathogen detection, providing insights into the natural behaviors of honey bees and their interactions with pests. • Development of a novel, non-destructive scanner-based approach for continuous monitoring of bee brood, pathogens, and pests. • High-resolution imaging enables precise detection of Varroa mites and chalkbrood infections. • Integration of 3D-printed, wax-coated mesh supports stable cell construction directly on the scanner surface. • Demonstrated capability to track brood development and observe hygienic behaviors over extended periods. • Provides in-depth insights into pest dynamics and colony health with minimal disturbance to the bees.

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Publication Details

Journal
Smart Agricultural Technology
Published
2024-11-19
DOI
https://doi.org/10.1016/j.atech.2024.100655
Citations
8
Primary Topic
Insect and Pesticide Research
Type
article
Field-Weighted Citation Impact
4.32

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article

In-hive flatbed scanners for non-destructive, long-term monitoring of honey bee brood, pathogens and pests

Richard Odemer, Jörg Marvin Gülzow, Parzival Borlinghaus
8 citations
Smart Agricultural Technology
Insect and Pesticide Research
4.32
article

In-hive flatbed scanners for non-destructive, long-term monitoring of honey bee brood, pathogens and pests

Richard Odemer, Jörg Marvin Gülzow, Parzival Borlinghaus
article en
8 citations

Abstract

Honey bee colonies face significant threats from pathogens and pests, including chalkbrood disease caused by Ascosphaera apis and Varroa destructor mites. Traditional monitoring methods for these issues are often destructive, hindering continuous and detailed observations. This study introduces a novel, non-destructive monitoring technique using a modified flatbed scanner integrated into a honey bee brood frame. The scanner, housed within a Dadant frame and connected to a Raspberry Pi, captures high-resolution images of the brood cells at regular intervals. This method enables continuous observation of the brood life cycle, including egg laying, larval development, and the presence of pathogens and mites. Over a three-month pilot study, the scanner successfully monitored 419 cells, capturing images of each cell and documenting critical events such as Varroa infestations and chalkbrood development. The method demonstrated high-resolution imaging capabilities, enabling detailed analysis of pathogen dynamics and hygienic behaviors like Varroa-sensitive hygiene (VSH) without apparent disturbance of the colony. The results revealed a high frequency of brood removal and pathogen detection, providing insights into the natural behaviors of honey bees and their interactions with pests. • Development of a novel, non-destructive scanner-based approach for continuous monitoring of bee brood, pathogens, and pests. • High-resolution imaging enables precise detection of Varroa mites and chalkbrood infections. • Integration of 3D-printed, wax-coated mesh supports stable cell construction directly on the scanner surface. • Demonstrated capability to track brood development and observe hygienic behaviors over extended periods. • Provides in-depth insights into pest dynamics and colony health with minimal disturbance to the bees.

Smart Agricultural TechnologyVol. 9
Karlsruhe Institute of Technology (DE), Julius Kühn-Institut (DE)
Deutsche Bundesstiftung Umwelt
Zero hunger
Openalex Percentile: Top 6%
Insect and Pesticide Research
4.32
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