A WSN-based automatic monitoring system for the foraging behavior of honey bees and environmental factors of beehives

被引:35
|
作者
Jiang, Joe-Air [1 ,2 ,3 ]
Wang, Chien-Hao [1 ]
Chen, Chi-Hui [4 ]
Liao, Min-Sheng [1 ]
Su, Yu-Li [1 ]
Chen, Wei-Sheng [1 ]
Huang, Chien-Peng [1 ]
Yang, En-Cheng [5 ]
Chuang, Cheng-Long [6 ]
机构
[1] Natl Taiwan Univ, Dept Bioind Mechatron Engn, 1 Roosevelt Rd,Sec 4, Taipei 10617, Taiwan
[2] Natl Taiwan Univ, Educ & Res Ctr Bioind Automat, Taipei 10617, Taiwan
[3] Natl Taiwan Univ, Intel NTU Connected Context Comp Ctr, Taipei 10617, Taiwan
[4] MOXA Inc, New Taipei 23145, Taiwan
[5] Natl Taiwan Univ, Dept & Grad Inst Entomol, Taipei 10617, Taiwan
[6] Intel Corp, Intel Labs, Hillsboro, OR 97124 USA
关键词
Honey bee; Colony; Incoming and outgoing activities; Foragers; Monitoring system; Wireless sensor network; POLLINATION;
D O I
10.1016/j.compag.2016.03.003
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The activity of a honey bee colony is heavily environmentally dependent. So, monitoring the colony activity should include the information of biological and physical factors both inside and outside of a beehive. However, using manual methods to simultaneously monitor the incoming and outgoing activities of a large amount of foragers and the environmental factors with high temporal resolution may cause drawbacks such as labor intensive and low accuracy. To cope with these difficulties, this study develops an automatic monitoring system for honey bee behavior based on wireless sensor network (WSN) technology. The monitoring system can be installed at the entrance of a beehive. The WSN-based monitoring system can not only detect the environmental factors both inside and outside the beehive, but also provide the long-term data of incoming and outgoing foraging activities of honey bees with a high temporal resolution. The results show that the average counting accuracy of incoming and outgoing behavior is 84.92% and 85.95%, respectively. Moreover, the long-term monitoring data that represent the frequencies of incoming and outgoing activities and the beehive related environmental factors are also analyzed. According to the data, honey bees become more energetic when the daily average ambient temperature is higher than 25 degrees C, and the average ambient relative humidity is between 60%RH and 70%RH. The experimental results show that the proposed monitoring system can reliably collect environmental data and the data related to the activities of honey bees simultaneously. This study also demonstrates that the proposed monitoring system is an excellent platform, which can be used to examine the relation between honey bees' incoming and outgoing activities and environmental factors. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:304 / 318
页数:15
相关论文
共 49 条
  • [41] An environmental factors-based automatic control system for folding arm awning
    Zhu, Qingyuan
    Wen, Chenglu
    Xie, Wenyi
    Du, Xiaohui
    EQUIPMENT MANUFACTURING TECHNOLOGY, 2012, 422 : 91 - +
  • [42] Simulation and Analysis of the Reliability of the Cloud Model-based Automatic Environmental Monitoring System
    Shao, Ying
    Li, Xiaoming
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [43] Design and Implementation of WSN Based Indoor Environmental Monitoring System Using Multiple Sensor Data Acquisition with IoT Integration
    Hossain, Nafize Ishtiaque
    Al Hadi, Md Al Mahmud Hossain
    Jamil, Md Hasibul
    2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT, 2020, : 1294 - 1298
  • [44] Winter wheat quality monitoring and forecasting system based on remote sensing and environmental factors
    Yu Haiyang
    Liu Yanmei
    Yang Guijun
    Yang Xiaodong
    Ren Dong
    Nie Chenwei
    35TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT (ISRSE35), 2014, 17
  • [45] Digimesh-Based Design of a Wireless Monitoring Network for Environmental Factors Affecting Granary System
    Oluwafemi, Onibonoje Moses
    Oluwatosin, Bandele Jeremiah
    INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2020, 48 : 126 - 132
  • [46] On precisely relating the growth of Phalaenopsis leaves to greenhouse environmental factors by using an IoT-based monitoring system
    Liao, Min-Sheng
    Chen, Shih-Fang
    Chou, Cheng-Ying
    Chen, Hsun-Yi
    Yeh, Shih-Hao
    Chang, Yu-Chi
    Jiang, Joe-Air
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 136 : 125 - 139
  • [47] Towards the Development of an Automatic UAV-Based Indoor Environmental Monitoring System: Distributed Off-Board Control System for a Micro Aerial Vehicle
    Solis, Jorge
    Karlsson, Christoffer
    Johansson, Simon
    Richardsson, Kristoffer
    APPLIED SCIENCES-BASEL, 2021, 11 (05): : 1 - 16
  • [48] DETERMINATION OF THE EFFECT OF ENVIRONMENTAL FACTORS ON THE CORROSION OF WATER DISTRIBUTION SYSTEM BASED ON ANALYSIS OF ON-LINE CORROSION MONITORING RESULTS
    Jazdzewska, A.
    Gruszka, M.
    Mazur, R.
    Orlikowski, J.
    Banas, J.
    ARCHIVES OF METALLURGY AND MATERIALS, 2020, 65 (01) : 109 - 116
  • [49] Simultaneous eco-toxicity assessment technique using an online monitoring system: effects of different environmental factors on swimming behavior of zebrafish (Danio rerio)
    Hu, Yongyuan
    Zhao, Ruibin
    Poopal, Rama-Krishnan
    Ren, Zongming
    CHEMOSPHERE, 2020, 255