Abstract
Applying Internet-of-Things (IoT) technologies in various agriculture challenges and ecosystem challenges not only can reduce the man efforts but also improve the productivity and the efficiency. Among many agriculture or ecosystem challenges, monitoring bees is one of the most interesting and imperative ones, as bees play a critical role in both the ecosystem and the agriculture and their habitats are under very serious pressures. Even though there are several commercial beehive monitoring systems on the market, localization and customization of such systems is inevitable, due to various environments, climates, box designs, or various bee-keeping practices. In this article, we introduce the challenges here in Taiwan and the design to cope these challenges. Based on some low-cost components (like raspberry pi, various sensors, and communication facilities) on the market, we design our bee monitoring system which can monitor various environment data (like temperature, humidity, and GPS) and bee data (like bee sound and infra-red images). The prototype has been tested in the field, and we are evaluating its effectiveness.
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Wiki, Arduino. https://en.wikipedia.org/wiki/Arduino. Accessed 07 Apr 2018
Arduino project. https://www.arduino.cc/. Accessed 07 Apr 2018
Raspberry pi. https://www.raspberrypi.org/. Accessed 07 Apr 2018
Sanbo, L.: Application of the internet of things technology in precision agriculture irrigation systems. In: 2012 IEEE International Conference on Computer Science & Service System (CSSS), pp. 1009–1013. IEEE (2012)
DotPiDot, Greenhouse Pi (2016). https://hackaday.io/project/12762-greenhouse-pi. Accessed 07 Apr 2018
RethinkDB. http://www.rethinkdb.com/docs/sharding-and-replication/. Accessed 07 Apr 2018
Tornado. http://www.tornadoweb.org/en/stable/. Accessed 07 Apr 2018
Splunk. https://en.wikipedia.org/wiki/Splunk. Accessed 07 Apr 2018
WebSock. https://developer.mozilla.org/enUS/docs/Web/API/WebSockets_API. Accessed 07 Apr 2018
NDVI and NRG. https://publiclab.org/wiki/ndvi. Accessed 07 Apr 2018
Chen, Y.-J., Chien, H.-Y.: IoT-based green house system with splunk data analysis. In: 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST 2017), Taichung, Taiwan, 8–10 November 2017
Pi NoIR Camera. https://www.raspberrypi.org/products/pi-noir-camera-v2/. Accessed 07 Apr 2018
FLIR and Lepton Thermal camera. https://lepton.flir.com/getting-started/lepton-quick-start-raspberry-pi/. Accessed 07 Apr 2018
Chien, H.-Y., Tseng, Y.-M., Hung, R.-W.: Some study of applying infra-red in agriculture IoT. In: 2018 IEEE International Conference on Awareness Science and Technology (IEEE ICAST 2018), Fukuoka, Japan, 18–21 September 2018. IEEE press (2018)
Aumann, H.M., Emanetoglu, N.W.: The radar microphone: a new way of monitoring honey bee sounds. In: 2016 IEEE SENSORS, Orlando, FL, USA, 30 October–3 November. IEEE (2016)
Lofaro, D.M.: The honey bee initiative - smart hive. In: 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Jeju, Korea, 28 June–1 July 2017
Heise, D., Miller-Struttmann, N., Galen, C., Schul, J.: Acoustic detection of bees in the field using CASA with focal templates. In: 2017 IEEE Sensors Applications Symposium (SAS), Glassboro, NJ, USA, 13–15 March. IEEE (2017)
APIVOX SMART MONITOR. https://www.apivoxauditor.com/. Accessed 07 Apr 2018
Zacepins, A., Pecka, A., Osadcuks, V., Kviesis, A., Engel, S.: Solution for automated bee colony weight monitoring. Agron. Res. 15(2), 585–593 (2017)
Sentinel Apiary Program. https://beeinformed.org/programs/sentinel/. Accessed 07 Apr 2018
Bromenshenk, J.: Infrared: the next generation in colony management. Bee Culture, December 2015
Beehacker: Acoustic analysis of bee behavior – Part 1, http://www.beehacker.com/wp/?page_id=189. Accessed 07 Apr 2018
Seidle, N.: The Internet of bees: adding sensors to monitor hive health. https://makezine.com/projects/bees-sensors-monitor-hive-health/. Accessed 07 Apr 2018
BuzzBox Sensor Kit: The open source beehive. https://www.kickstarter.com/projects/181034265/buzzbox-advanced-beehive-sensor-and-smartphone-app. Accessed 07 Apr 2018
The GrovePi. https://www.dexterindustries.com/grovepi/. Accessed 07 Apr 2018
The Audacity tool. https://www.audacityteam.org/download/Accessed 07 Apr 2018
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Chen, YL., Chien, HY., Hsu, TH., Jing, YJ., Lin, CY., Lin, YC. (2020). A Pi-Based Beehive IoT System Design. In: Yang, CN., Peng, SL., Jain, L. (eds) Security with Intelligent Computing and Big-data Services. SICBS 2018. Advances in Intelligent Systems and Computing, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-16946-6_43
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DOI: https://doi.org/10.1007/978-3-030-16946-6_43
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