Definition of wheat yield with use of JOHN DEERE 9670sts software and slantrange 3P touch equipment

Authors

  • S. Shvorov The National University of Life and Environmental Sciences of Ukraine
  • N. Pasichnyk The National University of Life and Environmental Sciences of Ukraine
  • O. Opryshko The National University of Life and Environmental Sciences of Ukraine
  • A. Marzifeus The National University of Life and Environmental Sciences of Ukraine
  • A. Yukhimenko The National University of Life and Environmental Sciences of Ukraine

DOI:

https://doi.org/10.31548/energiya2020.01.005

Abstract

Abstract. The article is devoted to the methodological foundations of determining wheat yields using John Deere 9670STS software and hardware and Slantrange 3p sensory equipment, which today is an urgent issue among farmers. This issue can not be fully resolved using satellite platforms, so it is more advisable to use UAVs that can be used in cloudy weather and taking into account the influence of different illumination, determined using anti-aircraft sensors. The question is how to interpret the results of the study, because there are many vegetative indices that can be used to determine the yield of wheat.

The aim of the study is to develop a methodological framework for determining wheat yield using John Deere 9670STS hardware and software and Slantrange 3p sensor equipment.

To achieve this goal, experimental studies were carried out using John Deere 9670STS software and hardware and the Slantrange 3p specialized spectral system mounted on the DJI Matrice 600 Pro industrial platform. Using Slantview software, images were combined, as well as individual and geometric corrections, taking into account the direction of the camera. When choosing the spectral channels, dependencies were used that provided sufficient sensitivity and high resolution, which allowed the experimental results to be approximated in the form of a linear dependence. The best indicators were obtained in the infrared channel because it has the highest determination coefficient (0.774) and the angular coefficient, which is responsible for sensitivity and resolution.

Key words: Slantrange, wheat, crop volumes, UAVs, software and hardware

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Published

2020-04-30

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Section

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