• Title of article

    An approach for draft prediction of combination tillage implements in sandy clay loam soil

  • Author/Authors

    Sahu، نويسنده , , Rohit K. and Raheman، نويسنده , , Hifjur، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2006
  • Pages
    11
  • From page
    145
  • To page
    155
  • Abstract
    A methodology to predict the draft requirements of combination tillage implements in any soil and operating conditions was developed. This methodology required the draft requirements of individual tillage implements in undisturbed soil condition and draft utilization ratio of the rear passive set of combination tillage implement, which is defined as the ratio of the drafts of the rear passive set operating in combination and individually. Laboratory experiments were conducted to measure the draft requirements of a reference tillage tool (single disk), three scale-model individual (moldboard plow, cultivator and disk gang) and two combination (moldboard plow with disk gang and cultivator with disk gang) tillage implements at different depths (5, 7.5 and 10 cm), speeds (1.2, 2.2, 3.2 and 4.2 km/h), wet bulk densities (in the range of 1.27–1.85 g/cm3) and cone index penetration resistance values (in the range of 445–1450 kPa) in soil bin filled with sandy clay loam soil. The average draft utilization ratio of the reference tillage tool obtained were analyzed by both orthogonal and multiple regression techniques to develop the regression equation considering soil properties, operating and tool parameters. The developed draft equation based on the above mentioned methodology was verified with the data obtained for the draft of scale-model and prototype combination tillage implements in the laboratory and field conditions, respectively. It was found that the developed equation predicted the draft of both combination tillage implements within an average absolute variation of 18.0 and 13.5%, respectively.
  • Keywords
    Draft , Reference tillage tool , Combination tillage implement , Regression analysis
  • Journal title
    Soil and Tillage Research
  • Serial Year
    2006
  • Journal title
    Soil and Tillage Research
  • Record number

    1493587