IDEAS home Printed from https://ideas.repec.org/a/caa/jnlrae/v63y2017ispecialissueid53-2017-rae.html
   My bibliography  Save this article

Automatic guidance systems in agricultural machinery as a tool for drivers' mental strain and workload relief

Author

Listed:
  • Zděnek Kvíz
  • Milan Kroulík

    (Department of Agricultural Machinery, Faculty of Engineering, Czech University of Life Sciences in Prague, Prague, Czech republic)

Abstract

This article evaluates agricultural operator´s stress, mental strain and generally fighting with driving difficulties during operating agricultural machinery sets by means of a heart rate indicator. Different drivers driving different tractors with implements were chosen and evaluated during different field jobs, namely soil tillage and sowing. Machinery position on the field was precisely monitored by a GPS receiver and the heart beat rate was observed by means of a chest belt special device with a heart rate sensor. The output data from the sensors were monitored during conventional manual steering of the tractor-implement set and also when using the complete automatic guidance steering without any driver´s intervention to steering wheel - all by using the DGPS guidance signal. The data were further processed with a special software for the heart rate sensor and detailed statistical evaluation was performed. All described trials were measured at different farms in the Czech Republic. The final outcomes from the experiment showed a statistically significant difference between two experimental variants and confirm our hypothesis that the guidance systems bring a great benefit for drivers concerning mental strain and relief of their workload.

Suggested Citation

  • Zděnek Kvíz & Milan Kroulík, 2017. "Automatic guidance systems in agricultural machinery as a tool for drivers' mental strain and workload relief," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 63(SpecialIs), pages 66-72.
    • Handle: RePEc:caa:jnlrae:v:63:y:2017:i:specialissue:id:53-2017-rae
    DOI: 10.17221/53/2017-RAE
    as

    Download full text from publisher

    File URL: http://rae.agriculturejournals.cz/doi/10.17221/53/2017-RAE.html
    Download Restriction: free of charge
    File URL: http://rae.agriculturejournals.cz/doi/10.17221/53/2017-RAE.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/53/2017-RAE?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:caa:jnlrae:v:63:y:2017:i:specialissue:id:53-2017-rae. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.