PhD in Agricultural Sciences, Associate Professor
National University of Life and Environmental Sciences of Ukraine
03041, 15 Heroiv Oborony Str., Kyiv, Ukraine
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THE CREATION OF VEGETATION INDICES FOR THE NEEDS OF PRECISION AGRICULTURE BY MEANS OF MATHCADNatalia Pasichnyk, V. P. Lysenko , O. O. Opryshko , V. O. Miroshnyk , D. S. Komarchuk Keywords: remote monitoring of crops, UAV, unmanned aerial vehicles, vegetatton cover, spectral shoottng, MathCAD software.
Pasichnyk, N., V. P. Lysenko, O. O. Opryshko, V. O. Miroshnyk, & D. S. Komarchuk
(2020).
THE CREATION OF VEGETATION INDICES FOR THE NEEDS OF PRECISION AGRICULTURE BY MEANS OF MATHCAD.
Plant and Soil Science,
11(2),
50-58.
https://doi.org10.31548/agr2020.02.050
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Methodological approaches to identifying plants on high resolution images of multispectral monitoring using UAVsNatalia Pasichnyk, V. P. Lysenko , O. O. Opryshko Keywords: Slantrange, crop identification, filtering
Pasichnyk, N., V. P. Lysenko, & O. O. Opryshko
(2021).
Methodological approaches to identifying plants on high resolution images of multispectral monitoring using UAVs.
Plant and Soil Science,
12(2),
47-53.
https://doi.org/110.31548/agr2021.02.0047
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EXPERIENCE IN USING MATHCAD TO ANALYZE DATA FROM UAVS FOR REMOTE SENSING OF CROPSNatalia Pasichnyk, O. O. Opryshko , V. O. Miroshnyk , D. S. Komarchuk Keywords: remote monitoring, UAV, unmanned aerial vehicles, vegetation cover, spectral shooting, MathCAD software, filtering of images
Pasichnyk, N., O. O. Opryshko, V. O. Miroshnyk, & D. S. Komarchuk
(2018).
EXPERIENCE IN USING MATHCAD TO ANALYZE DATA FROM UAVS FOR REMOTE SENSING OF CROPS.
Plant and Soil Science,
(268),
-.
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Varietal spectral differences in winter wheat plants according to satellite monitoring dataNatalia Pasichnyk, Olha Dmytrenko, Maksym Petrenko Keywords: winter grain crops; varietal differences; remote monitoring of agrophytocoenoses; vegetation indices; spectral characteristics of plants
Pasichnyk, N., Dmytrenko, O., & Petrenko, M.
(2025).
Varietal spectral differences in winter wheat plants according to satellite monitoring data.
Plant and Soil Science,
16(4),
57-70.
https://doi.org/10.31548/plant4.2025.57
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