An open-source high-precision hive for long-term honeybee observation and research.

Area of Science:

• Ecology
• Agriculture
• Animal Behavior

Background:

• Honeybees (Apis mellifera) are vital for ecosystems and agriculture.
• High annual honeybee losses necessitate ongoing scientific investigation.
• Artificial intelligence and computer vision accelerate research but face reproducibility challenges.

Purpose of the Study:

• To address the lack of standardization in observation hive setups.
• To improve the repeatability and transferability of honeybee research experiments.
• To present a novel open-hardware observation hive design.

Main Methods:

• Developed an adaptable open-hardware observation hive system.
• Utilized an open-source tracking system for data analysis.
• Demonstrated the setup with focused observation of individual honeybees.

Main Results:

• The proposed observation hive design enhances experimental standardization.
• The open-hardware approach facilitates data consistency across studies.
• Successful demonstration of focused individual honeybee observation.

Conclusions:

• Standardized observation hives are essential for reliable Apis mellifera research.
• The presented open-hardware design promotes reproducibility and data sharing.
• Publicly available hardware and software empower the research community.