THE USE OF SMART APICULTURE MANAGEMENT SYSTEM: REVIEW PAPER

Main Article Content

ESUBALEW SHITANEH ABU

Abstract

Bee colony ought to be often monitored via beekeepers to limit pest and predator issues and increase bee colony productivity. Mostly bee colony has monitoring focused on periodic inspections by beekeepers, which should be impractical and cost expensive. The objective of this review was to highlight quite several smart apiculture management structures in the beekeeping practice. Precision beekeeping or remote hive monitors will allow you to monitor the status of your honey bee colonies and apiaries from any internet-enabled system such as a smart phone, tablet. Currently, there is different intelligent beekeeping supervision systems had been on hand in the world. Some of the units are a wireless node and cloud database server, local data server, supervisory control, and data acquisition system, GIS for bee management, photography, and infrared imaging of apiary and relative humidity sensor. These technologies are used for measuring parameters like everyday exercise of honeybee colony, flaying target detection, remote hive health monitoring, bee traffic monitoring using monitoring bee flight and temperature of the hive. Generally, the use of precision apiculture allows us to show the beehives for many feasible reasons, such as research, records about the daily management of bees by way of beekeepers, and to gain knowledge of how to minimize the time assigned to duties without reducing production. As a result, to practice this technology supplying focus for expertise and beekeepers and additionally, governmental and non-governmental companies ought to be advertising the use of precision apiculture technologies.

Keywords:
Smart, beekeeping, management, hive, monitoring, precision apiculture

Article Details

How to Cite
ABU, E. S. (2020). THE USE OF SMART APICULTURE MANAGEMENT SYSTEM: REVIEW PAPER. Asian Journal of Advances in Research, 5(2), 6-16. Retrieved from https://mbimph.com/index.php/AJOAIR/article/view/1655
Section
Review Aricle

References

Aizen MA, Harder LD. The global stock of domesticated honey bees is growing slower than agricultural demand for pollination. Current Biology. 2009;19(11):915-918.

Kekeçoğlu M, Gürcan EK, Soysal Mİ. The status of beekeeping for honey production in Turkey. Journal of Tekirdag Agricultural Faculty. 2007;4(2):227-236.

Firatli Ç, Karacaoğlu M, Gençer HV, Gürel F, Koç AU. Structural analysis of beekeeping Turkey. In Proceedings’ of Turkey Agricultural Engineering VII. Technical Congress. Ankara, Turkey. 2010;707-717.

Stalidzans E, Berzonis A. Temperature changes above the upper hive body reveal the annual development periods of honey bee colonies. Comput. Electron. Agric. 2013;90:1–6.

Zacepins A, Karasha T. Application of temperature measurements for the bee colony monitoring: A review. In: Proceedings of the 12th International Scientific Conference Engineering for Rural Development. 2013;126–131.

Eskov EK, Toboev VA. Seasonal dynamics of thermal processes in aggregations of wintering honey bees (Apis mellifera, Hymenoptera, Apidae). Entomological Review. 2011;91(3): 354-359.

Zacepins A, Brusbardis V, Meitalovs J, Stalidzans E. -Challenges in the development of precision beekeeping. Biosystems Engineering. 2014;130:60–71.
DOI: 10.1016/j.biosystemseng.2014.12.001

Meikle WG, Holst N. Application of continuous monitoring of honeybee colonies, Apidologie. 2014;46:10–22.

Sánchez V, Gil S, Flores JM, Quiles FJ, Ortiz MA, Luna J. Implementation of an electronic system to monitor the thermoregulatory capacity of honeybee colonies in hives with open-screened bottom boards. Comput. Electron. Agric. 2015;119:209–216.
DOI: 10.1016/j.compag.2015.10.018

Libelium. Smart sensor technology monitors bee health and global pollination; 2015.

Sergio Gil-Lebrero, Francisco Javier Quiles-Latorre, Manuel Ortiz-López, Víctor Sánchez-Ruiz, Victoria Gámiz-López, Juan Jesus Luna-Rodríguez. Honey bee colonies remote monitoring system; 2017.

MySQL. Oracle Corporation and/or its affiliates; 2016.
Available:http://www.mysql.com

Libelium Communications XBee USB-Serial Gateway; 2016.
Available:http://www.libelium.com/products/waspmote/interfaces/

McLellan AR. Honey bee colony weight as an index of honey production and nectar flow: A critical evaluation. J. Appl. Ecol. 1977;14:401–408.

Szabo TI, Lefkovitch LP. Effects of honey removal and suppering on honey bee colony gain. Am. Bee J. 1991;131:120–122.

Harbo JR. Worker-bee crowding affects brood production, honey production and longevity of honey bees (Hymenoptera Apidae). J. Econ. Entomol. 1993;86:1672–1678.

Eskov EK, Toboev VA. Mathematical modelling of the temperature field distribution in insect winter clusters. Biophysics. 2009;54(1):85-89.

Kleinhenz M, et al. Hot bees. 2003;4217- 4231.

Shaw JA, et al. Long-wave infrared imaging for non-invasive beehive population assessment. Optics Express. 2011;19(1):399-408.

Sensirion AG; 2016.
Available:https://www.sensirion.com/fileadmin/user_upload/customeRs/sensirion/Dokumente/Humidity_Sensors/Sensirion_Humidity_Sensors_SHT1x_Datasheet_V5.p

Sergio Gil-Lebrero, Francisco Javier Quiles-Latorre, Manuel Ortiz-López, Víctor Sánchez-Ruiz, Victoria Gámiz-López, Juan Jesus Luna-Rodríguez. Honey bee colonies remote monitoring system; 2017.
DOI: https://doi.org/10.3390/s17010055

Jaime Cuauhtemoc Negrete. Precision apiculture in Mexico, current status and perspectives. International Journal of Recent Development in Engineering and Technology. 2017;6. (ISSN 2347-6435(Online)).
Available:www.ijrdet.com

Meitalovs J, Histjajevs A, Stalidzans E. Automatic microclimate controlled beehive observation system. Proceedings of International Conference “The 8th International Scientific Conference Engineering for Rural Development”, Jelgava, Latvia: Latvia University of Agriculture. 2009;265-271.

Zacepins A. Application of beehives temperature measurements for recognition of the bee colony state. Proceedings of International Conference “The 5th International Scientific Conference on Applied Information and Communication Technologies”, April 26-27, Jelgava, Latvia. 2012;216-221.

Tekin S, Durgun M. Online remote monitoring of honeybee colonies using wireless network technologies. Unpublished Paper; 2012.

Zacepins A, Karasha T. Web-based system for the bee colony remote monitoring. Proceedings of International Conference “The 6th International Conference AICT”, October 17-19, Tbilisi, Georgia. 2012;155-158.

Meikle WG, Holst N. Application of continuous monitoring of honeybee colonies, Apidologie. 2014;46:10–22.

Zacepins A, Brusbardis V, Meitalovs J, Stalidzans E. Challenges in the development of precision beekeeping. Biosystems Engineering. 2014;130:60–71.
DOI: 10.1016/j.biosystemseng.2014.12.001

Gil-Lebrero S, Quiles-Latorre FJ, Ortiz-López M, Sánchez-Ruiz V, Gámiz-López V, Luna-Rodríguez JJ. Honey bee colonies remote monitoring system. Sensors. 2017;17(1):55.

Lofaro DM. The Honey Bee Initiative—Smart hive. In 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE. 2017;446-447.

Nikola Zogović, Mića Mladenović, Slađan Rašić. From primitive to cyber-physical beekeeping.7th International Conference on Information Society and Technology ICIST; 2017.

Guillaume Chiron, Petra Gomez-Krämer, Ménard Michel. Detecting and tracking honeybees in 3D at the beehive entrance using stereo vision. EURASIP Journal on Image and Video Processing. 2013;1:59.
DOI: 10.1186/1687-5281-2013-59.Hal-00923374

Dietlein DG. A method for remote monitoring of the activity of honeybee colonies by sound analysis. J. Apic. Res. 1985;24:176–183.
DOI:https://doi.org/10.1080/00218839.1985.11100668

Ferrari S, Silva M, Guarino M, Berckmans D. Monitoring of swarming sounds in beehives for early detection of the swarming period. Comput. Electron. Agric. 2008;64:72–77.
DOI:https://doi.org/10.1016/j.compag.2008.05.010