The study of misalignment of rows of row cultures using a new indicator

  • V. Adamchuk -
  • V. Bulgakov -
  • V. Nadykto -
  • V. Kyurchev -
  • Ye. Ihnatiev -
  • M. Boris -
Keywords: row culture, row, theoretical researches, field tests, variance, correlation function, complex indicator.

Abstract

Goal. To assess effectively and accurately the misalignment of rows of row crops using the developed new agro engineering method based on the use of the complex dispersion frequency indicator. Methods. The theoretical preconditions for solving this problem are made using the basic principles of probability theory and mathematical statistics. The method of obtaining and analyzing experimental data is carried out using elements of analysis of variance and correlation of random oscillatory processes. Results. The correlation function of the process of deviation of the trajectories of rows of row culture from a straight line and the variance of these deviations Dx are determined theoretically. Due to the analysis of the obtained correlation function, the correlation interval xk was determined, which represents the frequency component of the oscillations of the studied harmonic process. As a result, it was found that the misalignment of rows of row culture can be considered acceptable if the dispersion of their oscillations Dx does not exceed 12.5 cm2, and the correlation interval of the normalized correlation function xk is greater than 25 m., sown with a tractor HTZ16131 and seeder Leda12, is acceptable in dispersion Dx (6,44 cm2) and close to acceptable in the correlation interval xk (20 m). Conclusions. The misalignment of the rows of any row crop can be estimated by a complex dispersion frequency indicator, which directly represents the energy and indirectly — the frequency of deviations of the trajectories of the seedlings of the culture from a straight line. The first component of this complex indicator is the variance of these deviations, and the second is the correlation interval of the normalized correlation function of oscillations of the studied process.
Published
2021-08-15