Proceedings of the International Scientific Conference The Fifth Technological Order: Prospects for the Development and Modernization of the Russian Agro-Industrial Sector (TFTS 2019)

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Improved Control of Portal Washing Unit for Agricultural Machines Based on the Implementation of Neural Network Technologies

Authors
Anton Shimokhin, Andrey Zabudsky, Vladimir Chervenchuk, Maltseva Evgenia
Corresponding Author
Anton Shimokhin
Available Online 29 January 2020.
DOI
10.2991/assehr.k.200113.190How to use a DOI?
Keywords
neural networks, computer vision, external cleaning of equipment
Abstract

The problem of high-quality cleaning required for maintaining functional reliability of agricultural machines leads to the search for new ways and solutions, research, improvement and development of new methods and means of mechanization aimed at reducing material and labor costs, increasing productivity along with ensuring environmental safety of the process. The article provides rationale for the need to improve the management of portal washing unit which is automatic and requires new control algorithms for rational consumption of water, electricity, cleaning time. Neural network computing models are considered as a tool for washing unit control algorithm. They are modern computer technology tool that can be used in the agro-industrial complex; the architecture of neural network to perform the corresponding tasks was obtained. In recent years, neural network technologies and models based on them have been used in different sectors of national economy. This paper studies the possibility of using a neural network to recognize contamination level and the type of agricultural machinery in order to control the water supply in portal washing – all this should reduce water consumption and generally increase the energy efficiency of washing unit.

Copyright
© 2020, 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 Conference The Fifth Technological Order: Prospects for the Development and Modernization of the Russian Agro-Industrial Sector (TFTS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 January 2020
ISBN
978-94-6252-886-4
ISSN
2352-5398
DOI
10.2991/assehr.k.200113.190How to use a DOI?
Copyright
© 2020, 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

risenwbib
TY  - CONF
AU  - Anton Shimokhin
AU  - Andrey Zabudsky
AU  - Vladimir Chervenchuk
AU  - Maltseva Evgenia
PY  - 2020
DA  - 2020/01/29
TI  - Improved Control of Portal Washing Unit for Agricultural Machines Based on the Implementation of Neural Network Technologies
BT  - Proceedings of the International Scientific Conference The Fifth Technological Order: Prospects for the Development and Modernization of the Russian Agro-Industrial Sector (TFTS 2019)
PB  - Atlantis Press
SP  - 300
EP  - 304
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200113.190
DO  - 10.2991/assehr.k.200113.190
ID  - Shimokhin2020
ER  -