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An Internet of Things-Based Weight Monitoring System for Honey

Authors: Zheng-Yan Ruan, Chien-Hao Wang, Hong-Jen Lin, Chien-Peng Huang, Ying-Hao Chen, En-Cheng Yang, Chwan-Lu Tseng, Joe-Air Jiang


Bees play a vital role in pollination. This paper focuses on the weighing process of honey. Honey is usually stored at the comb in a hive. Bee farmers brush bees away from the comb and then collect honey, and the collected honey is weighed afterward. However, such a process brings strong negative influences on bees and even leads to the death of bees. This paper therefore presents an Internet of Things-based weight monitoring system which uses weight sensors to measure the weight of honey and simplifies the whole weighing procedure. To verify the system, the weight measured by the system is compared to the weight of standard weights used for calibration by employing a linear regression model. The R2 of the regression model is 0.9788, which suggests that the weighing system is highly reliable and is able to be applied to obtain actual weight of honey. In the future, the weight data of honey can be used to find the relationship between honey production and different ecological parameters, such as bees’ foraging behavior and weather conditions. It is expected that the findings can serve as critical information for honey production improvement.

Keywords: Internet of Things, weight, honey, bee.

Digital Object Identifier (DOI):

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[1] M. A. Aizen and L. D. Harder., “The global stock of domesticated honey bees is growing slower than agricultural demand for pollination.” Current biology 19, no. 11, 2009, pp. 915–918.
[2] Murphy, Fiona Edwards, et al. "Development of an heterogeneous wireless sensor network for instrumentation and analysis of beehives." Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International. IEEE, 2015
[3] Williams, Geoffrey R., et al. "Colony collapse disorder in context." Bioessays 32.10 (2010): 845-846.
[4] Z. Shiwei and Z. Haitao, “A review of wireless sensor networks and its applications,” Automation and Logistics (ICAL), 2012 IEEE International Conference on, IEEE, 2012, pp. 386–389.
[5] Porrini, Claudio, et al. "Honey bees and bee products as monitors of the environmental contamination." Apiacta 38.1 (2003): 63-70.
[6] Bargańska, Żaneta, Marek Ślebioda, and Jacek Namieśnik. "Honey bees and their products: bioindicators of environmental contamination." Critical Reviews in Environmental Science and Technology 46.3 (2016): 235-248.
[7] Zacepins, Aleksejs, et al. "Temperature sensor network for prediction of possible start of brood rearing by indoor wintered honey bees." Carpathian Control Conference (ICCC), 2011 12th International. IEEE, 2011.
[8] McLellan, A. R. 1977. Honeybee colony weight as an index of honey production and nectar flow: a critical evaluation. Journal of Applied Ecology. 14(2): 401‐408.
[9] Michels, M., R. Rojas, and T. Landgraf. 2011. A beehive monitoring system incorporating optical flow as a source of information. Diplomsko delo, Berlin: Freie Universität Berlin, Institut für Informatik.
[10] J. Hambleton, The Effect of Weather upon the Change in Weight of a Colony of Bees during the Honey Flow, Washington D. C.: United States Department of Agriculture, 1925
[11] Draper, Alejandro, et al. "Design and implementation of a remote monitoring system to detect contamination in beehives." Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2015 CHILEAN Conference on. IEEE, 2015.
[12] Fitzgerald, Darren W., et al. "Design and development of a smart weighing scale for beehive monitoring." Signals and Systems Conference (ISSC), 2015 26th Irish. IEEE, 2015.
[13] Bieńkowska, M. 2004. Nationwide structure of honey flows in Poland in the years 1995‐2003. Journal of Apicultural Science, 48(2): 111‐123.