The creation of vegetation indices for the needs of precision agriculture by means of MathCad

Authors

DOI:

https://doi.org/10.31548/agr2020.02.050

Keywords:

remote monitoring of crops, UAV, unmanned aerial vehicles, vegetation cover, spectral shooting, MathCAD software

Abstract

Most of the existing vegetation indices were developed for the satellite platforms and, at the same time, didn’t consider their use for crop management. The development of a method of creating measurement indices based on the results of the processing of remote sensing data obtained from UAVs is relevant, which is the purpose of the work. Experimental studies were carried out in 2017 in a long-term field stationary of the Department of the Agrochemical and Agricultural products of NULES of Ukraine. For monitoring, the FC200 and GoPro HERO 4 iZ IR-cameras were used for optical and infrared bandwidths. The calculation was carried out in the environment of MathCad. The method of developing the measuring vegetation indices was suggested, which is based on the regression link analysis between the intensity of the color components and the result, which these components affect. When creating vegetation indices besides linear regression, we can consider and possible impact of the interaction factor. The vegetation index was suggested for state determination of the condition of the nitrogen nutrition, adapted for differential fertilizing application with the use of ground equipment. The introduction to the regression (vegetation index) additional design parameter - the area of the horizontal projection of the plants has the prospect for increased accuracy provided improvement of the method of identification of plantations.

Author Biographies

  • N. A. Pasichnyk, National University of Life and Enviromental Sciences of Ukraine, National University of Life and Enviromental Sciences of Ukraine
    кафедра агрохімії та якості продукції рослинництва, доцент
  • V. P. Lysenko, National University of Life and Enviromental Sciences of Ukraine, National University of Life and Enviromental Sciences of Ukraine
    Кафедра автоматики та робототехнічних систем ім. І.І.Мартиненка
  • O. O. Opryshko, National University of Life and Enviromental Sciences of Ukraine, National University of Life and Enviromental Sciences of Ukraine
    Кафедра автоматики та робототехнічних систем ім. І.І.Мартиненка
  • V. O. Miroshnyk, National University of Life and Enviromental Sciences of Ukraine, National University of Life and Enviromental Sciences of Ukraine
    Кафедра автоматики та робототехнічних систем ім. І.І.Мартиненка
  • D. S. Komarchuk, National University of Life and Enviromental Sciences of Ukraine, National University of Life and Enviromental Sciences of Ukraine
    Кафедра автоматики та робототехнічних систем ім. І.І.Мартиненка

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Published

2020-09-05

Issue

Section

Ґрунтознавство та агрохімія