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Bale Collection Path Planning Using an Autonomous Vehicle with Neighborhood Collection Capabilities

Author

Listed:
  • Saira Latif

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology (LTU), SE-971 87 Luleå, Sweden)

  • Torbjörn Lindbäck

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology (LTU), SE-971 87 Luleå, Sweden)

  • Magnus Karlberg

    (Department of Engineering Sciences and Mathematics, Luleå University of Technology (LTU), SE-971 87 Luleå, Sweden)

  • Johanna Wallsten

    (Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences (SLU), SE-901 83 Umeå, Sweden)

Abstract

This research was mainly focused on the evaluation of path planning approaches as a prerequisite for the automation of bale collection operations. A comparison between a traditional bale collection path planning approach using traditional vehicles such as tractors, and loaders with an optimized path planning approach using a new autonomous articulated concept vehicle with neighborhood reach capabilities (AVN) was carried out. Furthermore, the effects of carrying capacity on reduction in the working distance of the bale collection operation was also studied. It was concluded that the optimized path planning approach using AVN with increased carrying capacity significantly reduced the working distance for the bale collection operation and can thus improve agricultural sustainability, particularly within forage handling.

Suggested Citation

  • Saira Latif & Torbjörn Lindbäck & Magnus Karlberg & Johanna Wallsten, 2022. "Bale Collection Path Planning Using an Autonomous Vehicle with Neighborhood Collection Capabilities," Agriculture, MDPI, vol. 12(12), pages 1-20, November.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:12:p:1977-:d:980690
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    References listed on IDEAS

    as
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    Cited by:

    1. Jin Yuan & Wei Ji & Qingchun Feng, 2023. "Robots and Autonomous Machines for Sustainable Agriculture Production," Agriculture, MDPI, vol. 13(7), pages 1-4, July.

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