Res. Agr. Eng., 2016, 62(1):30-36 | DOI: 10.17221/8/2015-RAE

Methodology of processing the results of field experiment monitoring of the technological procedure of sowingOriginal Paper

V. Bulgakov1, V. Melnik2, A.F.M.A. Mohammed2, M. Korenko3, K. Kollárová4
1 Department of Mechanics and Resistance Materials, National University of Life and Environmental Sciences of Ukraine, Kiev, Ukraine
2 Department of Optimization of Technical Systems, Kharkiv Petro Vasylenko National Technical University of Agriculture, Kharkiv, Ukraine
3 Department of Quality and Engineering Technologies, Faculty of Engineering, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic
4 Department of Science and Research, Faculty of Engineering, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic

The non-uniformity of distribution of seeds sown in a row influences their productivity. To analyse and eliminate the causes of non-uniformities, the straight motion of coulters must be separated from generation of causes, i.e. the deviation of seeds from an ideal position on the coulter trajectory. A partial acceleration method can be effectively used to recover the coulter trajectory. It is based on the study of machine parts dynamics by measuring the three-dimensional projection of acceleration and its characteristic points. Fourier methods are used for approximation or interpolation of experimental data. The trajectory of a point is obtained by double integration of a Fourier series. Noise generation in acceleration measurement can be solved by smoothing with reasonable intensity. Also double integration leads to smoothing, the variability of the number of points participates in assessing the degree of harmonic distortion of reconstructed trajectory, based on which the required smoothing limit can be set. The method may be used for monitoring the farm machines dynamics based on the partial acceleration method.

Keywords: coulter trajectory; acceleration; amplitude; curve; Fourier transform

Published: March 31, 2016  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Bulgakov V, Melnik V, Mohammed AFMA, Korenko M, Kollárová K. Methodology of processing the results of field experiment monitoring of the technological procedure of sowing. Res. Agr. Eng. 2016;62(1):30-36. doi: 10.17221/8/2015-RAE.
Download citation

References

  1. Altikat S. (2012): Effects of strip width and tractor forward speed on sowing uniformity of maize and sunflower. Bulgarian Journal of Agricultural Science, 18: 375-382.
  2. Backman J., Oksanen T., Visala A. (2012): Navigation system for agricultural machines: Nonlinear model predictive path tracking. Computers and Electronics in Agriculture, 82: 32-43. Go to original source...
  3. Fleischmann P., Föhst T., Berns K. (2013): Trajectory planning and lateral control for agricultural guidance applications. In: 8th International Conference on Information Technology and Applications, 2013: 128-133.
  4. Graham C., Talay D. (2013): Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation. Heidelberg, New York, Dordrecht, London, Springer. Go to original source...
  5. Jingtao H., Taochang L. (2014). Cascaded navigation control for agricultural vehicles tracking straight path. International Journal of Agricultural & Biological Engineering, 7: 36-44.
  6. Karayel D., Özmerzi A. (2007): Comparison of vertical and lateral seed distribution of furrow openers using a new criterion. Soil & Tillage Research, 95: 69-75. Go to original source...
  7. Korucu T., Arslan S. (2009): Effects of direct and conventional planting on soil properties and yield characteristics of second crop maize. Tarim Bilimleri Dergisi, 15: 157-165. Go to original source...
  8. Kurylo V., Ganzhenko A., Gerasimenko L. (2013): Energy value of sugar sorghum depending on planting and seeding depth. MOTROL, Commission of Motorization and Energetics in Agriculture, 15: 55-61.
  9. Melnik V. (2012): Distribution of fluids below the soil surface. Saarbrücken, LAP Lambert Academic Publishing.
  10. Melnik V., Mohammed A.F.M.A. (2012): Mathematical modelling of planting row crops. Bulletin of Scientific Papers, 31: 182-192.
  11. Navid H., Ebrahimian S., Gassemzadeh H.R., Mousavi Nia M.J. (2011): Laboratory evaluation of seed metering device using image processing method. Australian Journal of Agricultural Engineering, 2: 1-4.
  12. Onal I., Değirmencioiğlu A., Yazgi A. (2012): An evaluation of seed spacing accuracy of a vacuum type precision metering unit based on theoretical considerations and experiments. Turkish Journal of Agricultural Forestry, 36: 133-144. Go to original source...
  13. Önal O., Önal I. (2009): Development of a computerized measurement system for in-row seed spacing accuracy. Turkish Journal of Agricultural Forestry, 33: 99-109. Go to original source...
  14. Privalov I.I. (2012): Fourier series. Moscow, Knizhnyy dom 'LIBROKOM'.
  15. Rao K.R., Kim D.N., Hwang J.J. (2010): Fast Fourier Transform - Algorithms and Applications. Dordrecht, Heidelberg, London, New York, Springer. Go to original source...
  16. Seidi E. (2012): Effects of geometry of disk openers on seed slot properties. World Academy of Science, Engineering and Technology, 6: 83-87.
  17. ®itňák M., Macák M., Korenko M. (2014): Assessment of risks in implementing automated satellite navigation systems. Research in Agricultural Engineering, 60 (Special Issue): S16-S24. Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.