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Mathematical model of analytical approach of comparative analysis of productivity of agricultural machinery when using visualization technology

Тип публикацииJournal Article
Дата публикации2022-01-19
SJR0.138
CiteScore0.4
Impact factor
ISSN21174458, 22731709
Краткое описание

The article discusses options for increasing the productivity of agricultural machinery, and also reveals the relationship between increasing its productivity by reducing the time of maintenance when using elements of virtual reality. Also, the article presents a mathematical model and shows the solution to the problem of assessing the productivity of agricultural technical units, in particular, it is proposed to conduct an assessment based on a comparison of the time spent on performing work when using elements of virtual reality during maintenance and in the traditional form of its implementation.

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ГОСТ |
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Solovev D., Chumakova S., Goncharov R. Mathematical model of analytical approach of comparative analysis of productivity of agricultural machinery when using visualization technology // BIO Web of Conferences. 2022. Vol. 43. p. 2028.
ГОСТ со всеми авторами (до 50) Скопировать
Solovev D., Chumakova S., Goncharov R. Mathematical model of analytical approach of comparative analysis of productivity of agricultural machinery when using visualization technology // BIO Web of Conferences. 2022. Vol. 43. p. 2028.
RIS |
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TY - JOUR
DO - 10.1051/bioconf/20224302028
UR - https://doi.org/10.1051/bioconf/20224302028
TI - Mathematical model of analytical approach of comparative analysis of productivity of agricultural machinery when using visualization technology
T2 - BIO Web of Conferences
AU - Solovev, D.A.
AU - Chumakova, S.V.
AU - Goncharov, R.D.
PY - 2022
DA - 2022/01/19
PB - EDP Sciences
SP - 2028
VL - 43
SN - 2117-4458
SN - 2273-1709
ER -
BibTex
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@article{2022_Solovev,
author = {D.A. Solovev and S.V. Chumakova and R.D. Goncharov},
title = {Mathematical model of analytical approach of comparative analysis of productivity of agricultural machinery when using visualization technology},
journal = {BIO Web of Conferences},
year = {2022},
volume = {43},
publisher = {EDP Sciences},
month = {jan},
url = {https://doi.org/10.1051/bioconf/20224302028},
pages = {2028},
doi = {10.1051/bioconf/20224302028}
}