E3S Web of Conf.
Volume 222, 2020International Scientific and Practical Conference “Development of the Agro-lndustrial Complex in the Context of Robotization and Digitalization of Production in Russia and Abroad” (DAIC 2020)
|Number of page(s)||7|
|Section||Creation and use of Modern Digital, Intelligent, Robotic Systems and Technologies, New Materials and Methods of Construction, Big Data Processing and the Internet of Things in the Agro-Industrial Complex|
|Published online||22 December 2020|
System-cognitive analysis of the economic efficiency of mechanical fallow treatment based on data from the electronic book of field history
FSBSI “Ural Federal Agrarian Research Center of the Ural Branch of the Russian Academy of Sciences”, 620142, city of Yekaterinburg, Belinskogo Str., 112A, Russia
* Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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