Precision apiculture: Development of a wireless sensor network for honeybee hives

被引:31
|
作者
Henry, Evan [1 ]
Adamchuk, Viacheslav [1 ]
Stanhope, Trevor [1 ]
Buddle, Christopher [2 ]
Rindlaub, Nathaniel [3 ]
机构
[1] McGill Univ, Dept Bioresource Engn, 21111 Lakeshore Dr, Ste Anne De Bellevue, PQ, Canada
[2] McGill Univ, Dept Nat Resource Sci, 21111 Lakeshore Dr, Ste Anne De Bellevue, PQ, Canada
[3] Nature Conservancy, 601 S Figueroa St, Los Angeles, CA 90017 USA
关键词
Precision apiculture; Beehive sensing; Wireless sensor network; MAGNETIC COMPASS ORIENTATION; BEE-HIVES; BEEHIVE; COLONIES; SWARMS;
D O I
10.1016/j.compag.2018.11.001
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Wireless in-hive sensor networks show promise in apiary management and research. However, radio frequency electromagnetic radiation (RF-EMR) emitted by wireless technologies could affect honeybees at the individual and the colony level. Prior research has noted that different operation frequencies and power of transferred signals affect insect and larger animal behavior. An on-line wireless sensor network was developed that continuously monitored in-hive temperature, relative humidity, and acoustics. While testing the network performance, a wired version of the developed sensor network was used to substantiate whether or not RF-EMR from Wi-Fi affects the measured parameters through a 30-day study in 2015. Two groups of three beehives were monitored: the first group was subjected to 14 GHz Wi-Fi signal while the second group was located outside of radio communication range. During RF-EMR exposure, in-hive temperature increased by an average of 0.09C and relative humidity increased by 1.53%, sound increased in amplitude by 0.03 dB but decreased in frequency by 2.57 Hz. All measured parameters had a higher standard deviation (SD) during the exposure treatment as compared to these changes during RF-EMR exposure, thus differences were not significant at the p < 0.05 level However, Control hive 1 swarmed 2 months before the start of the experiment and was on average 14.4% less humid and 1.57 dB quieter than the other monitored. Based on this research, no evidence of beehive environment change in response to RM-EMR was found. At the same time, the observation of abnormally measured parameters could be linked with a stressed colony (due to a swanning event), which might help apiculturists reduce production losses by rapidly reacting to the observed indicators of potential stress. Given the complexity of beehive dynamics, research on other potential effects of RF-EMR is needed before adopting wireless technologies in beehive sensors.
引用
收藏
页码:138 / 144
页数:7
相关论文
共 50 条
  • [1] APPLICATION OF WIRELESS SENSOR NETWORKS IN PRECISION APICULTURE
    Kviesis, Armands
    Zacepins, Aleksejs
    Durgun, Mahmut
    Tekin, Saban
    14TH INTERNATIONAL SCIENTIFIC CONFERENCE: ENGINEERING FOR RURAL DEVELOPMENT, 2015, : 440 - 445
  • [2] A wireless sensor network in precision agriculture
    Yan, X. (yan_xijun@hhu.edu.cn), 1600, Universitas Ahmad Dahlan (10):
  • [3] Design and Development of Precision Agriculture System Using Wireless Sensor Network
    Nandurkar, S. R.
    Thool, V. R.
    Thool, R. C.
    2014 FIRST INTERNATIONAL CONFERENCE ON AUTOMATION, CONTROL, ENERGY & SYSTEMS (ACES-14), 2014, : 47 - 52
  • [4] A Low-Cost Multi-Modal Sensor Network for the Monitoring of Honeybee Colonies/Hives
    Howard, Donald
    Duran, Olga
    Hunter, Gordon
    INTELLIGENT ENVIRONMENTS 2018, 2018, 23 : 69 - 78
  • [5] FUTURE DEVELOPMENT PERSPECTIVES OF THE PRECISION APICULTURE (PRECISION BEEKEEPING)
    Kviesis, Armands
    Zacepins, Aleksejs
    Stalidzans, Egils
    Nordic View to Sustainable Rural Development, 2015, : 369 - 369
  • [6] A Prototype Wireless Sensor Network for Precision Agriculture
    Jao, Jonathan
    Sun, Bo
    Wu, Kui
    2013 33RD IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS (ICDCSW 2013), 2013, : 280 - 285
  • [7] Precision irrigation based on wireless sensor network
    Khriji, Sabrine
    El Houssaini, Dhouha
    Jmal, Mohamed Wassim
    Viehweger, Christian
    Abid, Mohamed
    Kanoun, Olfa
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2014, 8 (03) : 98 - 106
  • [8] Precision Viticulture Using Wireless Sensor Network
    Maras, Vesna
    Popovic, Tomo
    Gajinov, Spasenija
    Mugosa, Milena
    Popovic, Vladimir
    Savovic, Ana
    Paviecvic, Katarina
    Miroviv, Vasilije
    2020 9TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2020, : 202 - 207
  • [9] Wireless Sensor Network in Precision Agriculture: A Survey
    Deepika, G.
    Rajapirian, P.
    FIRST INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING, TECHNOLOGY AND SCIENCE - ICETETS 2016, 2016,
  • [10] Wireless Sensor Network in Precision Agriculture Application
    Kassim, Mohamed Rawidean Mohd
    Mat, Ibrahim
    Harun, Ahmad Nizar
    2014 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS (CITS), 2014,