| Deep Learning and Computer Vision for Honey Bee Health Monitoring: A Systematic Survey and Future Directions | 2026 | 🇮🇳 SSVPS's Bapusaheb Shivajirao Deore College of Engineering |
| From Hive Sensors to Environmental DNA: Toward a Systems Biology Framework for Honeybee-Based Early Warning of Colony and Ecosystem Health | 2026 | 🇨🇳 Yangzhou University; 🇸🇦 Imam Mohammad Ibn Saud Islamic University |
| Precision Apiculture with Artificial Intelligence: A Survey of Methods, Tools, and Future Directions | 2026 | 🇵🇱 AGH University of Krakow; 🇱🇻 Latvia University of Life Sciences and Technologies |
| Transforming Beekeeping Through Technology: A Systematic Review of Precision Beekeeping | 2026 | 🇧🇳 Universiti Brunei Darussalam; 🇱🇰 Uva Wellassa University |
| A Survey of TinyML Applications in Beekeeping for Hive Monitoring and Management | 2025 | 🇦🇺 University of Technology Sydney; 🇦🇺 BeeSTAR |
| Beekeeping in the digital age: prospects and pitfalls of hive sensors in commercial beekeeping | 2025 | 🇦🇺 University of Melbourne; 🇦🇺 La Trobe University; 🇦🇺 ANU Research School of Biology |
| Buzzing with Intelligence: A Systematic Review of Smart Beehive Technologies | 2025 | 🇭🇷 University of Split |
| IoT and Machine Learning Techniques for Precision Beekeeping:A Review | 2025 | 🇺🇬 Makerere University; 🇹🇿 Dar es Salaam Institute of Technology |
| Advances in Beehive Monitoring Systems: Low-Cost Integrating Sensor Technology for Improved Apiculture Management | 2024 | 🇷🇴 Research and Development Institute for Wildlife and Mountain Resources Miercurea Ciuc; 🇷🇴 Sapientia Hungarian University of Transylvania; 🇷🇴 National Institute for Research and Development in Environmental Protection; 🇷🇴 National Institute for Research and Development in Forestry Marin Dracea |
| Current Status and Future Outlooks of Precision Beekeeping Systems and Services | 2024 | 🇸🇰 Slovak University of Agriculture in Nitra |
| Importance of GIS solutions for beekeepers: a review | 2023 | 🇱🇻 Latvia University of Life Sciences and Technologies |
| Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A Survey | 2023 | 🇨🇿 Brno University of Technology |
| Precision Beekeeping Systems: State of the Art, Pros and Cons, and Their Application as Tools for Advancing theBeekeeping Sector | 2023 | 🇮🇹 University of Tuscia; 🇮🇹 University of Napoli Federico II |
| Digital Transformation of Beekeeping through the Use of a Decision Making Architecture | 2022 | 🇫🇷 Efrei Research Lab; 🇫🇷 PSL University |
| Smart Beehive Monitoring for Remote Regions - PhD thesis | 2022 | 🇦🇺 University of Western Australia |
| Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services | 2021 | 🇫🇷 aivancity School for Technology; 🇫🇷 Université de Lyon |
| Data fusion challenges in precision beekeeping: a review | 2020 | 🇱🇻 Latvia University of Life Sciences and Technologies |
| Application of Data Layering in Precision Beekeeping: The Concept | 2019 | 🇱🇻 Latvia University of Life Sciences and Technologies |
| Automated monitoring of bee behaviour using connected hives: Towards a computational apidology | 2019 | 🇫🇷 CNRS Research Center on Animal Cognition; 🇫🇷 Université Toulouse III - Paul Sabatier |
| myBee: An Information System for Precision Beekeeping | 2017 | 🇧🇷 State University of Maringá; 🇧🇷 Federal University of Rio de Janeiro |
| Application of continuous monitoring of honeybee colonies | 2015 | 🇺🇸 USDA Agricultural Research Service; 🇩🇰 Aarhus University |
