Geodesic
The use of geostatistical methods to analyze the transition feasibility to the differential application of agrochemicals technologies
Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 16 (2020) no. 1, pp. 31-40
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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; $\varepsilon$ — 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.
Keywords: variogram analysis, precision agriculture, precision technology, geostatistical model. 
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     title = {The use of geostatistical methods to analyze the transition feasibility to the differential application of agrochemicals technologies},
     journal = {Vestnik Sankt-Peterburgskogo universiteta. Prikladna\^a matematika, informatika, processy upravleni\^a},
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V. P. Iakushev; V. M. Bure; O. A. Mitrofanova; E. P. Mitrofanov. The use of geostatistical methods to analyze the transition feasibility to the differential application of agrochemicals technologies. Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 16 (2020) no. 1, pp. 31-40. http://geodesic.mathdoc.fr/item/VSPUI_2020_16_1_a2/

[1] V. M. Bure, E. V. Kanash, O. A. Mitrofanova, “Analysis of plants color characteristics using aerophotos with different factors of qualitative indicators”, Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 13:3 (2017), 278–285 (In Russian) | MR

[2] V. V. Iakushev, Precision agriculture: theory and practice, Agrophysical Institute Publ., Saint Petersburg, 2016, 364 pp. (In Russian)

[3] V. P. Iakushev, E. V. Kanash, A. A. Konev, S. N. Kovtiukh, P. V. Lekomtsev, D. A. Matveenko, A. F. Petrushin, V. V. Iakushev, V. M. Bure, D. V. Rusakov, Iu. A. Osipov, Theoretical and methodological foundations for the separation of homogeneous technological zones for the differentiated application of chemicalization means based on the optical characteristics of seeding, Practical allowance, Agrophysical Institute Publ., Saint Petersburg, 2010, 60 pp. (In Russian)

[4] V. M. Bure, E. P. Mitrofanov, O. A. Mitrofanova, A. F. Petrushin, “Selection of homogeneous zones of agricultural field for laying of experiments using unmanned aerial vehicle”, Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 14:2 (2018), 145–150 (In Russian) | MR

[5] R. A. Afanasyev, “Use of the regularities of within-field variability of arable soil fertility in precision agrotechnologies”, Science Journal of Volgograd State University. Natural sciences, 11:1 (2015), 42–51

[6] M. Van Meirvenne, Is the soil variability within the small fields of flanders structured enough to allow precision agriculture?, Precision Agriculture, 4:2 (2003), 193–201 | DOI | MR

[7] V. P. Iakushev, E. E. Zhukovskii, A. F. Petrushin, V. V. Iakushev, A variogram analysis of the spatial heterogeneity of agricultural fields for precision agriculture, Toolkit, Agrophysical Institute Publ., Saint Petersburg, 2010, 52 pp. (In Russian)

[8] V. V. Dem'ianov, E. A. Savel'eva, Geostatistics: theory and practice, Nuclear safety institute of the Russian Academy of Sciences, Nauka Publ., M., 2010, 327 pp. (In Russian)