Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/8178
Title: Precision Apiculture – IoT System for remote monitoring of honeybee colonies
Authors: Riste Poposki
Dejan Gjorgjevikj
Issue Date: 8-May-2020
Publisher: Ss. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia
Series/Report no.: CIIT 2020 full papers;7
Conference: 17th International Conference on Informatics and Information Technologies - CIIT 2020
Abstract: Beekeeping practice, being very environmentally dependent, requires the temperature and the humidity in the hive to be in some regular ranges for optimal beehive health and productivity. Since most of the plants and flowers required for beehive prosperity and honey production are usually outside inhabited areas, the beekeeper must travel to the bee colonies to check them, which can be time and resource consuming. In this paper, an end to end remote monitoring and control system for a bee colony is presented. The system is consisted of a web-based system for monitoring and control of the conditions of the hives and IoT system for collecting the sensor measurements and transferring the data. The IoT system is composed of hardware units that are mounted on the beehives, containing temperature, humidity, weight sensors, actuators, and a microcontroller responsible for collecting the measurements and sending the data to the web system. The communication between the hardware unit and the web system uses WiFi or LoraWAN technology, that enables running the device on batteries. The system enables remote monitoring of multiple beehives and can be configured to alert the user via email or push notification if some sensor value is outside of predefined range. The system also enables sending commands to the unit controlling the actuators that can intervene on the beehive closing or opening a ventilation lid.
URI: http://hdl.handle.net/20.500.12188/8178
Appears in Collections:International Conference on Informatics and Information Technologies

Files in This Item:
File Description SizeFormat 
Precision Apiculture_IEEE_formated_3[1].pdf561.91 kBAdobe PDFThumbnail
View/Open
Show full item record

Page view(s)

56
checked on Oct 19, 2020

Download(s)

32
checked on Oct 19, 2020

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.