Precision Apicultures

A special issue of Insects (ISSN 2075-4450). This special issue belongs to the section "Insect Societies and Sociality".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 464

Special Issue Editors


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Guest Editor
Department of Zoology, Faculty of Veterinary, University of Córdoba, Campus of Rabanales, 14071 Córdoba, Spain
Interests: bee products; bee health; bee monitoring; precision apiculture
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electronic and Computer Engineering, Universidad de Córdoba, 14071 Córdoba, Spain
Interests: precision apiculture; machine learning; monitoring systems; computer vision; embedded systems

Special Issue Information

Dear Colleagues,

Honey bees are essential pollinators for environmental conservation and for many crops. In addition, beekeeping provides us with products such as honey, pollen, propolis, royal jelly or wax, and it is an economic activity of interest for the development of rural areas. Honey bees are also frequently used as bioindicators of the environment. Unfortunately, the Western honey bee faces multiple threats and virtually all colonies are maintained by beekeepers. On the other hand, beekeeping is very low-tech. The growing application of new technologies can be a very interesting tool for the development of beekeeping and the conservation of honey bees. This is what is known as “precision apiculture”. The objective of this Special Issue of the journal Insects is to provide the latest advances in precision apiculture, through contributions on electronic designs and monitoring systems to assess variables in honey bee hives, such as bee hive status, colony health, productivity evaluation, warnings and alarms in bee hives; predictive studies; the use of bees as environmental bioindicators; and any other topic that contributes to improving our knowledge of bees, their conservation, productivity or their use for understanding the environment.

Prof. Dr. José Manuel Flores
Dr. Francisco J. Rodriguez-Lozano
Guest Editors

Manuscript Submission Information

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Keywords

  • impact of precision apiculture on beekeeping
  • electronic designs for honey bee colony monitoring
  • remote monitoring systems for beekeeping
  • artificial intelligence applied to bee colony parameters
  • precision apiculture for environmental study

Published Papers (1 paper)

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Review

17 pages, 534 KiB  
Review
Buzzing with Intelligence: Current Issues in Apiculture and the Role of Artificial Intelligence (AI) to Tackle It
by Putri Kusuma Astuti, Bettina Hegedűs, Andrzej Oleksa, Zoltán Bagi and Szilvia Kusza
Insects 2024, 15(6), 418; https://doi.org/10.3390/insects15060418 - 4 Jun 2024
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Abstract
Honeybees (Apis mellifera L.) are important for agriculture and ecosystems; however, they are threatened by the changing climate. In order to adapt and respond to emerging difficulties, beekeepers require the ability to continuously monitor their beehives. To carry out this, the utilization [...] Read more.
Honeybees (Apis mellifera L.) are important for agriculture and ecosystems; however, they are threatened by the changing climate. In order to adapt and respond to emerging difficulties, beekeepers require the ability to continuously monitor their beehives. To carry out this, the utilization of advanced machine learning techniques proves to be an exceptional tool. This review provides a comprehensive analysis of the available research on the different applications of artificial intelligence (AI) in beekeeping that are relevant to climate change. Presented studies have shown that AI can be used in various scientific aspects of beekeeping and can work with several data types (e.g., sound, sensor readings, images) to investigate, model, predict, and help make decisions in apiaries. Research articles related to various aspects of apiculture, e.g., managing hives, maintaining their health, detecting pests and diseases, and climate and habitat management, were analyzed. It was found that several environmental, behavioral, and physical attributes needed to be monitored in real-time to be able to understand and fully predict the state of the hives. Finally, it could be concluded that even if there is not yet a full-scale monitoring method for apiculture, the already available approaches (even with their identified shortcomings) can help maintain sustainability in the changing apiculture. Full article
(This article belongs to the Special Issue Precision Apicultures)
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