Statistical characterization of variables used to test a planter under direct and conventional sowing systems - DOI: 10.4025/actasciagron.v31i4.951

Authors

  • Welington Gonzaga do Vale UENF Author
  • Ricardo Ferreira Garcia UENF Author
  • Jose Tarcísio Lima Thiebaut UENF Author
  • Geraldo de Amaral Gravina UENF Author

DOI:

https://doi.org/10.4025/actasciagron.v31i4.951

Keywords:

agricultural mechanization, variability, number of samples

Abstract

The objective of this work was to statistically characterize variables such as wheels slip, theoretical and effective field capacity of a planter in direct (DS) and conventional sowing (CS) systems, based on the verification of the adjustment of a series of data to a statistical distribution, aiming for the best form of representation and values be adopted so that these variables be used in agricultural practices operations. The experiment in CS was done with a speed of 1.5 m s-1 with 190 repetitions, and the experiment in DS was done with 1.8 m s-1 and 58 repetitions. It was concluded that differing values were not detected, and the variables in study can be represented by the function density of normal probability (Gaussian distribution), and the variables can be used for its representations.

Downloads

Download data is not yet available.

Author Biography

  • Welington Gonzaga do Vale, UENF
    Tem experiência na área de Mecanização Agrícola, com ênfase em Engenharia Agrícola, atuando principalmente nos seguintes temas: mecânica e mecanização agrícola, avaliação de máquinas agrícolas, projeto, otimização de máquinas, produção vegetal. Currículo Lattes

Published

2009-08-28

Issue

Section

Agricultural Engineering

How to Cite

Statistical characterization of variables used to test a planter under direct and conventional sowing systems - DOI: 10.4025/actasciagron.v31i4.951. (2009). Acta Scientiarum. Agronomy, 31(4), 559-567. https://doi.org/10.4025/actasciagron.v31i4.951

Similar Articles

1-10 of 1730

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)