Toward Audio Beehive Monitoring Based on IoT-AI techniques: A Survey and Perspective

Date Received: May 14, 2020

Date Published: Sep 29, 2020

DOI: https://doi.org/10.31817/vjas.2020.3.1.06

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Issue: Vol. 3 No. 1 (2020): Vietnam Journal of Agricultural Sciences

Section:

ENGINEERING AND TECHNOLOGY

How to Cite:

Du, N., Dong, N., Luu, V., Hoang, N., Thai, P., Ngoc, P., … Hong, P. (2020). Toward Audio Beehive Monitoring Based on IoT-AI techniques: A Survey and Perspective. Vietnam Journal of Agricultural Sciences, 3(1), 530–540. https://doi.org/10.31817/vjas.2020.3.1.06

Toward Audio Beehive Monitoring Based on IoT-AI techniques: A Survey and Perspective

Nguyen Huu Du (*) 1 , Nguyen Doan Dong 2 , Vu Thi Luu 3 , Nguyen Van Hoang 3 , Pham Hong Thai 4 , Phan Thanh Ngoc 4 , Nguyen Viet Long 5   , Phan Thi Thu Hong 3

  • Corresponding author: ptthong@vnua.edu.vn
  • 1 Department of Mathematics, Faculty of Information Technology, Vietnam National University of Agriculture, Hanoi 131000, Vietnam
  • 2 Department of Software Engineering, Faculty of Information Technology, Vietnam National University of Agriculture, Hanoi 131000, Vietnam
  • 3 Department of Computer Science, Faculty of Information Technology, Vietnam National University of Agriculture, Hanoi 131000, Vietnam
  • 4 Research Center for Tropical Bees and Beekeeping, Vietnam National University of Agriculture, Hanoi 131000, Vietnam
  • 5 Center for Agricultural Innovation, Vietnam National University of Agriculture, Hanoi 131000, Vietnam

    • Keywords

    Artificial intelligence, IoT, Beehive monitoring, Beehive sound recognition, bioacoustics

    Abstract


    In beekeeping, monitoring beehives plays an important role to make sure the health of bee colonies and to reduce negative effects that could happen for the colonies. A large number of studies have been carried out to improve the performance of monitoring beehives from the traditional manual methods. Especially, the application of Artificial Intelligence (AI) technologies in recent time has led to significant effects in the monitoring process. These new methods, however, have not yet been interested and applied in Vietnam. To understand the use of the AI-based technologies in automatic monitoring beehives, this paper provides a survey on the beehive monitoring system based on audio data and AI techniques. Opportunities and perspectives for the applications of these techniques in audio-based monitoring beehive in Vietnam are also discussed.