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Evaluation of trafficked error paths of trailers in sugarcane fields

Published online by Cambridge University Press:  01 June 2017

B. P. Passalaqua  and
J. P. Molin
B. P. Passalaqua*
Affiliation:
Biosystems Engineering Department, University of São Paulo, Piracicaba, Brazil
J. P. Molin
Affiliation:
Biosystems Engineering Department, University of São Paulo, Piracicaba, Brazil
*
†E-mail: bpassalaqua@usp.br
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Abstract

Harvest mechanization in sugarcane results in an intense vehicle traffic inside the crop areas. When using transshipment trailers, keeping them in the correct path is not simple. The aim of this study was to evaluate the error path of a set trailered with and without the use of an automatic steering system during sugarcane harvesting. We used a combination of a tractor and two transshipment trailers with three axles each. The results show that the errors of the transshipments are above the acceptable and the use of automatic steering on the tractor minimizes offset errors in the transshipments trajectory and the slope of the terrain is a factor that interferes with the displacement as a whole. Despite the use of automatic steering systems in the auxiliary tractor to minimize the errors suffered by transshipments, there is a need for active systems linked to these to be maintained in the correct route.

Keywords

GNSSdeviationstrack routesteering systemsharvestsugarcane
Type
Data analysis and Geostatistics
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 606 - 609
Copyright
© The Animal Consortium 2017 

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References

Abu-Hamdeh, NH and Al-Jalil, HF 2004. Computer simulation of stability and control of tractor trailed implement combinations under different operating condition. Bragantia 63 (1), 149–162.CrossRefGoogle Scholar
Backman, J, Oksanen, T and Visala, A 2010. Nonlinear model predictive trajectory control in tractor–trailer system for parallel guidance in agricultural field operations. In: Proceedings of Agricontrol 2010: IFAC IEEE Conference Modelling and Control in Agriculture, Horticulture and Post-Harvest Processing, Sep 6–10, Kyoto, Japan.Google Scholar
Braunbeck, OA and Oliveira, JTA 2006. Colheita de cana-de-açúar com auxilio mecânico (Harvest of sugarcane with mechanical assistance). Engenharia Agrícola 26 (1), 300–308.Google Scholar
Food and Agriculture Organization of the United Nations (FAO) 2016. Faostat. Available online: http://faostat.fao.org/. (retrieved 02/11/16).Google Scholar
Masek, J, Kroulik, M, Chyba, J, Novak, P and Kumhala, F 2014. Traffic intensity in fields and technical possibilities for reduction of machinery passes. In: 21st Annual International Scientific Conference, University of Agriculture, Jelgava, Latvia. http://tf.llu.lv/conference/proceedings2014/Papers/37_Masek_J.pdf (retrieved 16/04/16).Google Scholar
Mialhe, LG 2000. Revisão sobre o tráfego no canavial e suas condições (Review of traffic in cane fields and their conditions). In: Seminário internacional de mecanização e produção de cana-de-açúcar, Ribeirão Preto, IDEA pp. 22–45.Google Scholar
Molin, JP, Veiga, JPS and Cavalcante, DS 2014. Measuring and mapping sugarcane gaps. In: Proceedings of the 12th International Conference on Precision Agriculture, July 20–23, Sacramento, CA, USA.Google Scholar
Renewable Fuels Association 2012. Industry Statistics. Available at: http://www.ethanolrfa.org/pages/statistics (retrieved 02/11/16).Google Scholar
Silva, CB, Moraes, MAFD and Molin, JP 2011. Adoption and use of precision agriculture technologies in the sugarcane industry of São Paulo state, Brazil. Precision Agriculture 12 (1), 67–81.CrossRefGoogle Scholar
Spekken, M, Salvi, JV and Molin, JP 2014. A method to evaluate paralelism for machine logged positions. In Proceedings of the International Conference on Robotics and Associated High-Technologies and Equipment for Agriculture and Forestry, May 21–23, Madrid, Spain, pp. 227–237.Google Scholar
Thanpattranon, P, Ahamed, T and Takigawa, T 2016. Navigation of autonomous tractor for orchards and plantations using a laser range finder: Automatic control of trailer position with tractor. Biosystems Engineering 14, 90–103.Google Scholar