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
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