Influence of the Combine Harvester Parameter Settings on Harvest Losses

Martin Šotnar 1 , Jiří Pospíšil 2 , Jan Mareček 2 , Tereza Dokukilová 2 ,  and Vojtěch Novotný 2
  • 1 Mendel University in Brno, Faculty of AgriSciences, Department of Agricultural Food and Environmental Technology, Zemědělská,, Brno, Czech Republic
  • 2 Mendel University in, Brno, Czech Republic

Abstract

This paper deals with the relationship between grain yield and grain losses during harvest. Measurements were carried out on a combine harvester with axial harvesting device allowing various adjustments to combine harvester parameter settings, such as rotor speed, gap between separator and rotor, fan speed, holes of the upper and lower sieves. Values of harvest losses in combine harvester with custom settings for the given crops were compared with values of losses obtained by a harvester with manufacturer’s recommended settings. This paper observes the losses in grains of spring barley and winter wheat crops. All the measurements made showed lower grain losses when the combine harvester settings were customized. In general, custom settings provided quantitative losses lower by 0.198% than settings recommended by manufacturer.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Alonso-Amelot, M. E. - Avila-Núnez, J. L. 2011. Comparison of seven methods for stored cereal losses to insects for their application in rural conditions. In Journal of Stored Products Research, vol. 47, no. 2, pp. 82-87.

  • Baraibar, B. - Ledesma, R. - Royo-Esnal, A. - Westerman, P. R. 2011. Assessing yield losses caused by the harvester ant Messor barbarus (L.) in winter cereals. In Crop Protection, vol. 30, no. 9, pp. 1144-1148.

  • Coen, T. - Vanrenterghem, A. - Saeys, W. - De Baerdemaeker, J. 2008. Autopilot for a combine harvester. In Computers and Electronics in Agriculture, vol. 63, no. 1, pp. 57-64.

  • Do, T. D. T. - Cozzolino, D. - Muhlhausler, B. - Box, A. - Able, A. J. 2015. Antioxidant capacity and vitamin E in barley: Effect of genotype and storage. In Food Chemistry, vol. 187, pp. 65-74.

  • Dimitrov, P. - Simeonov, D. - Stoyanov, K. - Kangalov, P. 2012. Effective aggregating of tractors for transportation. In Transport Problems, vol. 7, no. 3, pp. 25-28.

  • Elliot, J. - Deryng, D. - Müller, C. - Frieler, K. - Konzmann, M. - Gerten, D. - Glotter, M. - Flörke, M. - Wada, Y. - Best, N. -

  • Eisner, S. - Fekete, B. M. - Folberth, Ch. - Foster, I. - Gosling, S. N. - Haddeland, I. - Khabarov, N. - Ludwig, F. - Masaki, Y. - Olin, S. - Rozenzweig, C. - Ruane, A. C. - Satoh, Y. - Schmid, E. - Stacke, T. - Tang, Q. - Wisser, D. 2014. Constraints and potentials of future irrigation water availability on agricultural production under climate change. In Proceedings of the National Academy of Sciences of the United States of America, PNAS, vol. 111, no. 9, pp. 3239-3244.

  • EUROSTAT. 2010. Employment in the agriculture sector down by 25% between 2000 and 2009. Eurostat News Release, 66/2010. Available at http://ec.europa.eu/eurostat/documents/2995521/5050706/5-07052010-AP-EN.PDF/5055cd01-7d45-4857-a4ab-758105496f58

  • Gerrish, J. B. - Fehr, B. W. - Van Ee, G. R. - Welch, D. P. 1997. Self steering tractor guided by computer vision. In Application Engineering Agriculture, vol. 13, pp. 165-173.

  • Ibanez, J. J. - Gonzalez-Urquijo, J. E. - Gibata, J. 2014. Discriminating wild vs domestic cereal harvesting micropolish through laser confocal microscopy. In Journal of Archaeological Science, vol. 48, pp. 96-103.

  • Isaac, N. E. - Quick, G. R. - Birrell, S. J. - Edwards, W. M. - Coers, B. A. 2006. Combine harvester econometric model with forward speed optimization. In Applied Engineering in Agriculture, vol. 22, pp. 25-31.

  • Jones, A. R - Dalal, R. C. 2017. Enrichment of natural 15N abundance during soil N losses under 20 years of continuous cereal cropping. In Science of The Total Environment, vol. 574, pp. 282-287.

  • Kahil, M. T. - Connor, J. D. - Albiac, J. 2015. Efficient water management policies for irrigation adaptation to climate change in Southern Europe. In Ecological Economics, vol. 120, pp. 226-233.

  • Kaniewski, D. - Van Campo, E. - Weiss, H. 2012. Drought is a recurring challenge in the Middle East. In Proceedings of the National Academy of Sciences of the United States of America, PNAS, vol. 109, pp. 3862-3867.

  • Kovalyshyn, S. - Dadak, V. - Konyk, S. 2015. Intensification of the process of preparing small seed crop mixtures. In Acta Technologica Agriculturae, vol. 18, no. 4, pp. 108-112.

  • Kutzbach, H. D. 2000. Trends in power and machinery. In Journal of Agricultural Engineering Research, vol. 76, no. 3, pp. 237-247.

  • Lahouar, L. - Pochart, P. - Ben Salem, H. - El Felah, M. - Mokni, M. - Mahne, F. - Mangin, I. - Suau, A. - Pereira, E. - Hammami, M. - Achour, L. 2012. Effect of dietary fibre of barley variety ‘Rihane’ on azoxymethane-induced aberrant crypt foci development and on colomic microbiota diversity in rats. In The British Journal of Nutrition, vol. 108, no. 11, pp. 2034-2042.

  • Pleadin, J. - Vahcic, N. - Persi, N. - Sevelj, D. - Markov, K. - Frece, J. 2013. Fusarium mycotoxins’ occurrence in cereals harvested from Croatian fields. In Food Control, vol. 32, no. 1, pp. 49-54.

  • Robinson, R. A. - Sutherland, W. J. 2002. Post-war changes in arable farming and biodiversity in Great Britain. In Journal of Applied Ecology, vol. 39, pp. 157-176.

  • Wahbi, A. - Sinclair, T. R. 2005. Simulation analysis of relative yield advantage of barley and wheat in an eastern Mediterranean climate. In Field Crop Research, vol. 91, no. 2-3, pp. 287-296.

  • Wilson, J. D. - Morris, A. J. - Arroyo, B. E. - Clark, S. C. - Bradbury, R. B. 1999. A review of the abundance and diversity of invertebrate and plant foods of granivorous birds in northern Europe in relation to agricultural change. In Agriculture, Ecosystems & Environment, vol. 75, no. 1-2, pp. 13-30.

OPEN ACCESS

Journal + Issues

Search