System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history
The article presents a differentiated for each field economic analysis of the use of agricultural tools in the processing of fallow fields, conducted using digital tools developed by the authors. Production data from the the Kurgan Research Institute of Agriculture, a branch of the FSBSI Ural Federa...
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EDP Sciences
2020-01-01
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doaj-128f043822444039b0ff0bcd9d1a11852021-04-02T18:59:32ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012220100310.1051/e3sconf/202022201003e3sconf_daic2020_01003System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field historyStepnykh N.V.Gilev S.D.Nesterova E.V.Zargaryan A.M.The article presents a differentiated for each field economic analysis of the use of agricultural tools in the processing of fallow fields, conducted using digital tools developed by the authors. Production data from the the Kurgan Research Institute of Agriculture, a branch of the FSBSI Ural Federal Agrarian Research Center of the Ural Branch of the Russian Academy of Sciences for 2017-2019. Based on information from the electronic book of field history, the program for calculating process charts calculates the cost of fallow mechanical treatment. Methods of system-cognitive and statistical analysis were used to review the results. It was found that the greatest impact on the increase in costs was exerted by the total number of treatments and the use of low-productivity agricultural tools (BDT-3. KPS-4.2). To increase the yield of wheat, a greater number of treatments of BDM-6-4 and a smaller number of treatments of KPE-3.8 and KPS-4.2 had some advantage. The total number of mechanical fallow treatments did not correlate with the wheat yield obtained for the next year, but it had an impact on the profitability of crop production. To reduce the cost of fallow treatment, it is recommended to use high-performance agricultural equipment BDM-6-4 and anti-erosion cultivators KPE-3.8 (2 in the coupling), aggregated by the energy-intensive tractor HTZ-17221.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/82/e3sconf_daic2020_01003.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stepnykh N.V. Gilev S.D. Nesterova E.V. Zargaryan A.M. |
spellingShingle |
Stepnykh N.V. Gilev S.D. Nesterova E.V. Zargaryan A.M. System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history E3S Web of Conferences |
author_facet |
Stepnykh N.V. Gilev S.D. Nesterova E.V. Zargaryan A.M. |
author_sort |
Stepnykh N.V. |
title |
System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history |
title_short |
System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history |
title_full |
System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history |
title_fullStr |
System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history |
title_full_unstemmed |
System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history |
title_sort |
system-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
The article presents a differentiated for each field economic analysis of the use of agricultural tools in the processing of fallow fields, conducted using digital tools developed by the authors. Production data from the the Kurgan Research Institute of Agriculture, a branch of the FSBSI Ural Federal Agrarian Research Center of the Ural Branch of the Russian Academy of Sciences for 2017-2019. Based on information from the electronic book of field history, the program for calculating process charts calculates the cost of fallow mechanical treatment. Methods of system-cognitive and statistical analysis were used to review the results. It was found that the greatest impact on the increase in costs was exerted by the total number of treatments and the use of low-productivity agricultural tools (BDT-3. KPS-4.2). To increase the yield of wheat, a greater number of treatments of BDM-6-4 and a smaller number of treatments of KPE-3.8 and KPS-4.2 had some advantage. The total number of mechanical fallow treatments did not correlate with the wheat yield obtained for the next year, but it had an impact on the profitability of crop production. To reduce the cost of fallow treatment, it is recommended to use high-performance agricultural equipment BDM-6-4 and anti-erosion cultivators KPE-3.8 (2 in the coupling), aggregated by the energy-intensive tractor HTZ-17221. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/82/e3sconf_daic2020_01003.pdf |
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