Tag Archives: weight monitoring

471-481 O. Komasilova, A. Zacepins, A. Kviesis, V. Komasilovs and N. Ozols
Comparing weight dynamics between urban and rural honey bee colonies in Latvia
Abstract |
Full text PDF (891 KB)

Comparing weight dynamics between urban and rural honey bee colonies in Latvia

O. Komasilova¹, A. Zacepins¹, A. Kviesis¹, V. Komasilovs¹ and N. Ozols²

¹Department of Computer Systems, Faculty of Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, Jelgava, LV-3001, Latvia
²Institute of Plant Protection Research ‘Agrihorts’, Latvia University of Life Sciences and Technologies, Paula Lejina iela 2, Jelgava, LV-3004, Latvia
*Correspondence: aleksejs.zacepins@lbtu.lv

Abstract:

Beekeeping is an important agricultural industry in Latvia, which has an area of 64,589 km2 and is largely mixed forest. The natural foraging base does not provide the honey yield evenly throughout the whole season, thus the average honey yield in Latvia is about 20 kg per colony. The objective of this research was to compare the weight dynamics of colonies placed in rural and urban environments. As urban beekeeping is becoming more popular, it is important to understand whether there are enough foraging resources within the city for the bee colonies. To do this, the weight changes of ten honey bee colonies was remotely monitored and analysed during the summer period. Five colonies were located in the rural environment in Vecauce and five in the urban environment in Jelgava city. Colonies were assessed using the precision beekeeping approach and developed scale systems. It was concluded that for rural colonies in Vecauce, the main weight increase occurred in June – from 41.02 to 54.68 kg – which resulted in 94% of the total increase for the summer period. Data analysis from the urban apiary revealed that colonies increase weight during the entire monitoring period, indicating that there are foraging resources available throughout the summer period within the city.

Key words:

, , ,




457-468 A. Zacepins, N. Ozols, A. Kviesis, J. Gailis, V. Komasilovs, O. Komasilova and V. Zagorska
Evaluation of the honey bee colonies weight gain during the intensive foraging period
Abstract |
Full text PDF (977 KB)

Evaluation of the honey bee colonies weight gain during the intensive foraging period

A. Zacepins¹*, N. Ozols², A. Kviesis¹, J. Gailis², V. Komasilovs¹, O. Komasilova¹ and V. Zagorska²

¹Department of Computer Systems, Faculty of Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, LV-3001 Jelgava, Latvia
²Institute of Plant Protection Research ‘Agrihorts’, Latvia University of Life Sciences and Technologies, Paula Lejina iela 2, LV-3004 Jelgava, Latvia
*Correspondence: aleksejs.zacepins@llu.lv

Abstract:

Beekeeping in Latvia has a long tradition and it is a classical branch of agriculture. In Latvia, there is no traditional beekeeping region, and beekeeping is performed in all regions. Honey yield is influenced by various factors – variety of crops (nectar plants) around the apiary, man-made changes in land/forests (deforestation), climate change, beekeepers’ actions, etc. Application of information and communication technologies (ICT) in the field of beekeeping can bring benefits to the beekeepers. To be more specific, continuous remote monitoring of certain bee colony parameters can improve beekeeper’s apiary management, by informing timely about the nectar flow (or even provide information on bee colony states, e.g., swarming). In such a way, beekeepers can plan their next actions – prepare supers or even choose to move the apiary to a different geographical location. Within this research, weight gain of the ten honey bee colonies was remotely monitored and analysed during two-week period at the beginning of the summer 2021 in Vecauce, Latvia, using the precision beekeeping approach. This monitoring period corresponded to intensive flowering of the winter rapeseed and field beans. Colonies were equipped with the automatic scales. In addition, colony and environmental temperature was monitored. Measurements were taken every thirty minutes. Analysing the obtained data, weight increase can be observed in all colonies, from 17 to 48 kg. As well, based on weight data, swarming event can be identified. Constant monitoring of weight change can also help to identify daily patterns in honey bee activity.

Key words:

, , , , ,




585–593 A. Zacepins, A. Pecka, V. Osadcuks, A. Kviesis and S. Engel
Solution for automated bee colony weight monitoring
Abstract |
Full text PDF (813 KB)

Solution for automated bee colony weight monitoring

A. Zacepins¹*, A. Pecka², V. Osadcuks², A. Kviesis¹ and S. Engel³

¹Latvia University of Agriculture, Faculty of Information Technologies, Department of Computer Systems, Liela iela 2, LV-3001 Jelgava, Latvia
²Latvia University of Agriculture, Faculty of Engineering, Institute of Energetics, J. Cakstes blvd. 5, LV-3001 Jelgava, Latvia
³Cyberkinetics, Inc., 112 North Curry Street, Carson City, Nevada, USA
*Correspondence: aleksejs.zacepins@llu.lv

Abstract:

Future of the traditional beekeeping is to implement Precision Beekeeping approach and implement different automated and smart apiary monitoring systems for remote and optimised bee colony management. Behaviour of the bee colony can be monitored by the use of temperature, humidity, acoustic, video and weight systems. Each measurement system can give its own additional value for recognition of bee colony state. It is useful for the beekeeper to have at least one control colony with weight system equipped in the apiary. The hive scales is an important tool which gives assessment if food consumption has been high and whether there is a need for feeding. In most countries it is important to know how long the winter storage is, in addition it gives a very good indication of periods without any nectar flow. This paper presents conceptual design and prototype of honey bee colony weight monitoring system with GSM/GPRS external interface for packet-based communication with remote server. The central module with scales is placed on one of the hives and consists of temperature sensor, 4 strain gauge load cells for weighting purposes, RF and GSM/GPRS modules, photovoltaic cell array, battery, charge controller and minimal user interface for operational status signalling. The system allows sensor data logging to local storage and periodic data transfer to a remote server for further data analysis in different user applications. Data processing back-end component serves GET requests coming from remote measurement device, performs identification and raw data conversion using configuration stored in database.

Key words:

, , ,