Precision beekeeping is an emerging field that applies sensor technologies, data analytics, and automation to enhance hive monitoring, optimize management decisions, and promote sustainable apiculture. This review explores the core components and current applications of precision tools, including temperature, humidity, weight, acoustic, and traffic sensors, and how they enable real-time monitoring of colony health, productivity, and behavior. The integration of machine learning and cloud-based platforms allows early detection of stressors and facilitates predictive management, especially in large-scale operations. Challenges such as high implementation costs, lack of standardization, and limited accessibility for smallholders are critically examined, alongside environmental concerns and ethical questions surrounding bee welfare and data governance. The article concludes by identifying future opportunities in miniaturization, open-source innovation, and the alignment of precision apiculture with broader sustainability goals. This synthesis underscores the potential of precision beekeeping to support resilient, efficient, and ethically informed apiary management systems.
Received Date: 2025-01-25
Revised Date: 2025-02-15
Accepted Date: 2025-02-15
Available online: 2025-02-17
Authors Contribution: -
KeyWords: beekeeping; sensors; hive monitoring; apiculture; sustainability
DOI: -
*Corresponding author: agrihassanba@gmail.com
Copyright 2012 SASI
CONCLUSIONS
Acknowledgements
Authors Contribution
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Conflict of Interest