Application of uav for determining the state of yield of fields at planning of cleaning works

Authors

  • S. Shvorov The National University of Life and Environmental Sciences of Ukraine
  • N. Pasechnik The National University of Life and Environmental Sciences of Ukraine
  • A. Opryshko The National University of Life and Environmental Sciences of Ukraine
  • D. Komarchuk The National University of Life and Environmental Sciences of Ukraine
  • K. Kovtun The National University of Life and Environmental Sciences of Ukraine

DOI:

https://doi.org/10.31548/energiya2018.04.029

Abstract

The strategy of using precision farming technologies is aimed at maximizing the full engagement and use of various information for the development of agrotechnological solutions, their optimization in relation to the economic conditions of the agricultural enterprise and the differentiated implementation of the main technological operations (within the field) to achieve maximum quantitative and qualitative indicators.

The use of unmanned aerial vehicles for remote monitoring of plantations offers fundamentally new possibilities, since it allows you to shoot quickly and with high resolution.

The purpose of the study is the development of methodological foundations for determining the state of field yields on the way of unmanned harvest machinery using the UAV.

An approach and methodological basis for determining the state of field yields based on data from unmanned aerial vehicles (UAVs) during planning of routes and parameters of unmanned harvest machinery (BZT) movement were considered. The results of experimental survey of planting trees using UAVs with the further calculation of graphic data in the MathCAD software environment are highlighted. Experimental data of the analysis of the use of different channels of shooting, as well as the decision on filtering the obtained images from third parties, especially the ground, are presented.

It is established that when organizing image filtering from third parties it is expedient to use data on all measuring channels simultaneously. The green channel is sufficiently informative to recognize areas that do not correspond to plants.

Key words: UAV, remote monitoring, unmanned harvesting equipment, vegetative cover, spectral survey, image filtration, optimization of the trajectory and speed

References

Aniskevich, L.V., Aniskevich, V.I (2006) Tekhnolohii tochnoho zemlerobstva [Precise farming is a prospect for increasing yields] Naukovyi visnyk Natsionalnoho ahrarnoho universytetu, 101, 8-27.

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Lisenko, V. P., Komarchuk, D. S., Pasichnik, N. A., Oprishko, O. O. (2017) Dystantsiine zonduvannia zernovykh kultur dlia prohramuvannia vrozhaiu [Remote sensing of grain crops for harvest programming] TOV "CP COMPRINT", 362.

Shadchina, T. M. (1999) Elaboration of theoretical bases and methods of the remote sensing of winter wheat crops using the high resolution spectrometry [Manuscript. Thesis for Dr.Sci (Biol.) by speciality 03.00.12-Plant Physiology.-Institute of Plant Physiology and Genetics] National Academy of Sciences of Ukraine, Kyiv.

Shvorov, S. A., Chirchenko D. V. (2017) Metod planuvannia robit po zboru vrozhaiu bezpilotnymy kombainamy [A method for planning work for unmanned combines has been developed.] Enerhetyka i avtomatyka,1, 28-36.

Published

2018-10-17

Issue

Section

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