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Model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location

Finding a proper location for a bee apiary is a crucial task for beekeepers and especially for travelling beekeepers. Normally beekeepers choose an appropriate apiary location based on their previous experience and sometimes the location may not be optimal for the bee colonies. This can be explained...

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Autores principales: Komasilova, Olvija, Komasilovs, Vitalijs, Kviesis, Armands, Zacepins, Aleksejs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451444/
https://www.ncbi.nlm.nih.gov/pubmed/34616624
http://dx.doi.org/10.7717/peerj.12178
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author Komasilova, Olvija
Komasilovs, Vitalijs
Kviesis, Armands
Zacepins, Aleksejs
author_facet Komasilova, Olvija
Komasilovs, Vitalijs
Kviesis, Armands
Zacepins, Aleksejs
author_sort Komasilova, Olvija
collection PubMed
description Finding a proper location for a bee apiary is a crucial task for beekeepers and especially for travelling beekeepers. Normally beekeepers choose an appropriate apiary location based on their previous experience and sometimes the location may not be optimal for the bee colonies. This can be explained by different flowering periods, variation of resources at the known fields, as well as other factors. In addition it is very challenging to evaluate how many bee colonies should be placed in one geographical location for an optimal nectar foraging process. This research presents a model for finding the number of honey bee colonies needed for the optimal foraging process in the specific location, taking into account several assumptions. Authors propose to take into account potential field productivity, possible chemical contamination, surroundings of the apiary. To run the model, several steps have to be completed, starting from the selection of area of interest, conversion to polygons for further calculations, defining the roads in the selected area. The outcome of the model number of colonies that should be placed is presented to the user. The Python language was used for the model development. The model can be extended to use additional factors and values to increase the precision of the evaluation. In addition, input from users (farmers, agricultural specialists, etc.) about external factors that can affect the number of bee colonies in the apiary can be taken into account. This work is conducted within the Horizon 2020 FET project HIVEOPOLIS (Nr.824069).
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spelling pubmed-84514442021-10-05 Model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location Komasilova, Olvija Komasilovs, Vitalijs Kviesis, Armands Zacepins, Aleksejs PeerJ Agricultural Science Finding a proper location for a bee apiary is a crucial task for beekeepers and especially for travelling beekeepers. Normally beekeepers choose an appropriate apiary location based on their previous experience and sometimes the location may not be optimal for the bee colonies. This can be explained by different flowering periods, variation of resources at the known fields, as well as other factors. In addition it is very challenging to evaluate how many bee colonies should be placed in one geographical location for an optimal nectar foraging process. This research presents a model for finding the number of honey bee colonies needed for the optimal foraging process in the specific location, taking into account several assumptions. Authors propose to take into account potential field productivity, possible chemical contamination, surroundings of the apiary. To run the model, several steps have to be completed, starting from the selection of area of interest, conversion to polygons for further calculations, defining the roads in the selected area. The outcome of the model number of colonies that should be placed is presented to the user. The Python language was used for the model development. The model can be extended to use additional factors and values to increase the precision of the evaluation. In addition, input from users (farmers, agricultural specialists, etc.) about external factors that can affect the number of bee colonies in the apiary can be taken into account. This work is conducted within the Horizon 2020 FET project HIVEOPOLIS (Nr.824069). PeerJ Inc. 2021-09-17 /pmc/articles/PMC8451444/ /pubmed/34616624 http://dx.doi.org/10.7717/peerj.12178 Text en © 2021 Komasilova et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
Komasilova, Olvija
Komasilovs, Vitalijs
Kviesis, Armands
Zacepins, Aleksejs
Model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location
title Model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location
title_full Model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location
title_fullStr Model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location
title_full_unstemmed Model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location
title_short Model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location
title_sort model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451444/
https://www.ncbi.nlm.nih.gov/pubmed/34616624
http://dx.doi.org/10.7717/peerj.12178
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