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http://hdl.handle.net/11701/17784
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Iakushev, Viktor P. | - |
dc.contributor.author | Bure, Vladimir M. | - |
dc.contributor.author | Mitrofanova, Olga A. | - |
dc.contributor.author | Mitrofanov, Evgenii P. | - |
dc.date.accessioned | 2020-05-22T14:59:29Z | - |
dc.date.available | 2020-05-22T14:59:29Z | - |
dc.date.issued | 2020-03 | - |
dc.identifier.citation | Iakushev V. P., Bure V. M., Mitrofanova O. A., Mitrofanov E. P. The use of geostatistical methods to analyze the transition feasibility to the differential application of agrochemicals technologies. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2020, vol. 16, iss. 1, pp. 31–40. | en_GB |
dc.identifier.other | https://doi.org/10.21638/11701/spbu10.2020.103 | - |
dc.identifier.uri | http://hdl.handle.net/11701/17784 | - |
dc.description.abstract | In recent years, the tasks of precision farming, including the technology of differential application of agrochemicals, which significantly save resources, increase yield and product quality, while reducing environmental impact, have been particularly relevant and promising. However, for each specific agricultural territory, an assessment of the prospects for the transition to such technologies is necessary; it will not always be justified. The paper proposes a method for solving this problem, based on the use of variogram analysis. The idea is based on a geostatistical model of territory heterogeneity, where the spatial variability of the studied parameter Z is represented as the sum of three components: m — macrocomponent reflecting global spatial variations of a parameter caused, for example, by landscape features; s — mesocomponent that describes the variability of the parameter within the scale of the agricultural field; ε — microcomponent characterizing random micro-scale variability of the parameter. It is assumed that for the effectiveness of the transition to the differential application of agrochemicals in a specific agricultural territory, it is necessary that the in-field variation of agroecological indicators make a significant contribution to the overall picture of field heterogeneity. The paper also presents a computational experiment demonstrating the efficiency of the proposed method, using aerial photographs, GIS programs, and the programming language R. | en_GB |
dc.description.sponsorship | This work was supported by the Russian Foundation for Basic Reaserch (grant N 19-29-05184 mk). | en_GB |
dc.language.iso | ru | en_GB |
dc.relation.ispartofseries | Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 16; Issue 1 | - |
dc.subject | variogram analysis | en_GB |
dc.subject | precision agriculture | en_GB |
dc.subject | precision technology | en_GB |
dc.subject | geostatistical model | en_GB |
dc.title | The use of geostatistical methods to analyze the transition feasibility to the differential application of agrochemicals technologies | en_GB |
dc.type | Article | en_GB |
Располагается в коллекциях: | Issue 1 |
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Файл | Описание | Размер | Формат | |
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31-40.pdf | 984,31 kB | Adobe PDF | Просмотреть/Открыть |
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