Sirvi Autor "Komasilova, O." järgi
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Kirje Bee colony weight dynamics during passive wintering period(Estonian University of Life Sciences, 2026) Zacepins, A.; Komasilova, O.; Kotovs, D.; Komasilovs, V.; Gailis, J.; Tikuma, B.Honeybees (Apis mellifera) are essential for maintaining ecological balance and enhancing agricultural productivity through their pollination services. Gaining insight into the internal conditions of a honeybee colony is crucial for evaluating its health, productivity, and seasonal dynamics. In the northern countries bee colony activity is divided into two periods: active summer and winter passive periods. Monitoring the weight of honey bee colonies provides valuable insight into their physiological status, food consumption, and survival potential during wintering. This study investigates the weight dynamics of bee colonies throughout the passive wintering period, aiming to better understand colony metabolism and resource utilization under low-activity conditions. Continuous weight measurements were recorded using electronic hive scales. The data were analysed to assess temporal trends in colony mass loss and to identify environmental or management factors influencing these changes. Results showed a gradual decrease in hive weight corresponding to the consumption of stored honey, with the rate of loss varying in response to external temperature fluctuations and colony strength. These findings contribute to improving winter management practices by providing quantitative parameters of weight consumption for assessing colony health and predicting overwintering success.Kirje Comparing weight dynamics between urban and rural honey bee colonies in Latvia(Estonian University of Life Sciences, 2023) Komasilova, O.; Zacepins, A.; Kviesis, A.; Komasilovs, V.; Ozols, N.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.Kirje Evaluation of the honey bee colonies weight gain during the intensive foraging period(Estonian University of Life Sciences, 2022) Zacepins, A.; Ozols, N.; Kviesis, A.; Gailis, J.; Komasilovs, V.; Komasilova, O.; Zagorska, V.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.Kirje Model for the bee apiary location evaluation(2020) Komasilova, O.; Komasilovs, V.; Kviesis, A.; Bumanis, N.; Mellmann, H.; Zacepins, A.Honeybees are predominant and ecologically as well as economically important group of pollinators in most geographical regions. As a result of analysing current situation in studies and practices, a conclusion was drawn that beekeeping sector is in decline. The identified reasons for this are land-use intensification, monocropping, pesticide poisoning, colony diseases, parasites and adverse climate. One of the solutions is to find a proper bee colony harvesting location and use luring methods to attract bees to this location. Usually beekeepers choose the apiary location based on their own previous experience and sometimes the position is not optimal for the bees. This can be explained by different flowering periods, variation of resources at the known fields, as well as other factors. This research presents a model for evaluation of possible apiary locations, taking into account resource availability estimation in different surrounding agricultural fields. Authors propose a model for real agricultural field location digitization and evaluation of possible apiary location by fusing information about available field resources. To achieve this, several steps have to be completed, such as selection of fields of interest, converting selection to polygons for further calculations, defining the potential values and coefficients for amount of resources depending on type of crops and season and calculation of harvesting locations. As the outcome of the model, heat map of possible apiary locations are presented to the end-user (beekeeper) in the visual way. Based on the outcome, beekeepers can plan the optimal placement of the apiary and change it in the case of need. The Python language was used for the model development. Model can be extended to use additional factors and values to increase the precision for field resource evaluation. In addition, input from users (farmers, agricultural specialists, etc.) about external factors, that can affect the apiary location can be taken into account. This work is conducted within the Horizon 2020 FET project HIVEOPOLIS (Nr.824069 – Futuristic beehives for a smart metropolis).