title: The use of geostatistical methods to analyze the transition feasibility to the differential application of agrochemicals technologies
metadata.name: dc.contributor.author
metadata.value: Iakushev, Viktor P.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bure, Vladimir M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Mitrofanova, Olga A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Mitrofanov, Evgenii P.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2020-05-22T14:59:29Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2020-05-22T14:59:29Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2020-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: 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.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu10.2020.103
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/17784
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: 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.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: This work was supported by the Russian Foundation for Basic Reaserch (grant N 19-29-05184 mk).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 16; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: variogram analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: precision agriculture
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: precision technology
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: geostatistical model
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: The use of geostatistical methods to analyze the transition feasibility to the differential application of agrochemicals technologies
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 31-40.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/17784/3/31-40.pdf
resources.format: Adobe PDF
resources.size: 984,31 kB