Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019)

Automated system of optimal cattle selection for breeding (part 1)

Authors
Alexey Deshevykh, Svetlana Kovalchuk
Corresponding Author
Alexey Deshevykh
Available Online June 2019.
DOI
10.2991/ispc-19.2019.77How to use a DOI?
Keywords
cattle, neural network, algorithm, productivity, program
Abstract

According to studies by various authors from countries with developing and underdeveloped economies, the main stumbling block in the field of animal husbandry is the lack of methods for selecting the optimal breed of cattle on the basis of ecological and geographical characteristics of the region. The need can be solved by developing a multiparameter automated system capable of taking into account exogenous and endogenous factors. The base of indicators to be processed takes into account biological and economically significant characteristics of animals, which in turn will allow to identify a balance between high productivity, economic feasibility, regional needs, quality of dairy products. No less important function of the program is the prediction of the specified characteristics, which will allow breeders to select the types of animals depending on the dynamics of indicators. The article considers: the experience of dairy cattle breeding in different countries of the world, as well as the risks specific to the industry; the method of determining the economically optimal for breeding cattle in different ecological and geographical conditions. The result of the research is the developed core of the information system, which contains a database, a set of algorithms, methods for determining the number of livestock of different breeds of cattle to cover the need for dairy products.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019)
Series
Advances in Intelligent Systems Research
Publication Date
June 2019
ISBN
10.2991/ispc-19.2019.77
ISSN
1951-6851
DOI
10.2991/ispc-19.2019.77How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Alexey Deshevykh
AU  - Svetlana Kovalchuk
PY  - 2019/06
DA  - 2019/06
TI  - Automated system of optimal cattle selection for breeding (part 1)
BT  - Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019)
PB  - Atlantis Press
SP  - 342
EP  - 345
SN  - 1951-6851
UR  - https://doi.org/10.2991/ispc-19.2019.77
DO  - 10.2991/ispc-19.2019.77
ID  - Deshevykh2019/06
ER  -