IDEAS home Printed from https://ideas.repec.org/a/ags/ijarit/359322.html
   My bibliography  Save this article

Performance modelling and optimization of disc angle and tractor speed for a disc ridger in loamy soil using RSM

Author

Listed:
  • David Amidu Wandusim
  • Emmanuel Y H Bobobee
  • Joseph Oppong Akowuah
  • Eric Amoah Asante
  • Michael Amponsah Ampomah
  • Abebrese Kwabena Agyeman
  • Philip Yaro Laari

Abstract

Ridging has been identified as a mechanized substitute for flat-land form and mounding in the cultivation of root and tuber crops. Manual ridging imposes high drudgery, consumes time and limits production scale. Therefore, mechanized ridging is necessary to improve efficiency, reduce cost and enable large-scale production. In this study, performance modelling and operational optimization of disc angle and tractor speed for a double-row disc ridger were established using CCRD in RSM. Quadratic models generated by RSM were used to predict optimum draught, wheel-slip and fuel consumption while maximizing cutting-depth and cutting-width. The results show that the ridger achieved optimum performance at 42.50 disc angle and 7.5 km/h tractor speed with a constant tilt angle of 25°. The regression model predicted optimal fuel consumption of 8.13 l/ha, 7.8 kN draught force, 2.8% wheel-slip, 29 cm depth and 277 cm width of cut, at the predicted disc angle and speed. The optimization analysis suggests that an increased disc angle and speed resulted in increased draught, fuel consumption, wheel-slip and cutting width and depth. To maximize operating efficiency, it is advised that ridging operations at the study site be conducted at the designated optimal speed and disc angle.

Suggested Citation

  • David Amidu Wandusim & Emmanuel Y H Bobobee & Joseph Oppong Akowuah & Eric Amoah Asante & Michael Amponsah Ampomah & Abebrese Kwabena Agyeman & Philip Yaro Laari, 2025. "Performance modelling and optimization of disc angle and tractor speed for a disc ridger in loamy soil using RSM," International Journal of Agricultural Research, Innovation and Technology (IJARIT), IJARIT Research Foundation, vol. 15(1), June.
    • Handle: RePEc:ags:ijarit:359322
    DOI: 10.22004/ag.econ.359322
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/359322/files/7%29%20IJARIT%200488.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.359322?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Farm Management;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ijarit:359322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://ijarit.webs.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.