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Title: METHODOLOGY FOR STUDYING THE SPATIAL HETEROGENEITY OF THE PHYTOSANITARY STATE OF AGROBIOCENOSES BY REMOTE SENSING
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METHODOLOGY FOR STUDYING THE SPATIAL HETEROGENEITY OF THE PHYTOSANITARY STATE OF AGROBIOCENOSES BY REMOTE SENSING
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1314-2704
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English
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21
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7.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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The study of spatial heterogeneity of phytosanitary state of seeding and agricultural crops plantings is necessary for the widespread introduction of the precision farming system, which would make it possible to achieve a significant reduction in the pesticide load on agrocenoses and the environment. In Russia, the methodology for studying the heterogeneity of the phytosanitary state of agrocenoses is developed on the experimental base of the Menkovsky branch of the Agrophysical Research Institute. For this purpose, the test fields are subjected to detailed registration of pest distribution and growth. Together with the classical ground-based registration methods, aerial photography of the field is carried out using the "Geoscan 401" unmanned aerial vehicle. A portable handheld sensor GreenSeeker is used, with the help of which the value of the vegetation index NDVI for each registry field is determined. To analyze the spatial distribution of pests within the field, the coefficients of variation and aggregation are calculated. Digital maps of the spatial distribution of pests are compiled using the GIS API and Surfer 11 programs. This methodology has been successfully tested in a fallow field, potatoes planting and crops of spring barley in the North-West of the Russian Federation.
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conference
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21st International Multidisciplinary Scientific GeoConference SGEM 2021
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21st International Multidisciplinary Scientific GeoConference SGEM 2021, 16 - 22 August, 2021
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Proceedings Paper
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STEF92 Technology
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SGEM International Multidisciplinary Scientific GeoConference
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci
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727-734
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16 - 22 August, 2021
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website
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cdrom
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7939
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Digital maps; remote sensing; phytosanitary state of agrocenoses; NDVI; the coefficient of variation
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