IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i8p1510-d1204734.html
   My bibliography  Save this article

Development and Experimental Validation of an Agricultural Robotic Platform with High Traction and Low Compaction

Author

Listed:
  • David Reiser

    (Bosch Engineering GmbH, Robert-Bosch-Allee 1, 74232 Abstatt, Germany)

  • Galibjon M. Sharipov

    (Institute of Agricultural Engineering, University of Hohenheim, Garbenstr. 9, 70599 Stuttgart, Germany
    Department of Agricultural Engineering, Geisenheim University, Von-Lade-Str 1, 65366 Geisenheim, Germany)

  • Gero Hubel

    (VARTA Microbattery GmbH, Varta-Platz 1, 73479 Ellwangen, Germany)

  • Volker Nannen

    (University of Groningen, 9712 CP Groningen, The Netherlands)

  • Hans W. Griepentrog

    (Institute of Agricultural Engineering, University of Hohenheim, Garbenstr. 9, 70599 Stuttgart, Germany)

Abstract

Some researchers expect that future agriculture will be automated by swarms of small machines. However, small and light robots have some disadvantages. They have problems generating interaction forces high enough to modify the environment (lift a stone, cultivate the soil, or transport high loads). Additionally, they have limited range and terrain mobility. One option to change this paradigm is to use spikes instead of wheels, which enter the soil to create traction. This allows high interaction forces with the soil, and the process is not limited by the weight of the vehicle. We designed a prototype for mechanical soil cultivation and weeding in agricultural fields and evaluated its efficiency. A static and dynamic test was performed to compare the energy input of the electrical motor with precise measurements of the forces on the attached tool. The results indicate that the prototype can create interaction forces of up to 2082 N with a robot weight of 90 kg. A net traction ratio of 2.31 was reached. The dynamic performance experiment generated pull forces of up to 1335 N for a sustained net traction ratio of 1.48. The overall energy efficiency ratio for the machine reached values of up to 0.54 based on the created draft force and the measured input energy consumption.

Suggested Citation

  • David Reiser & Galibjon M. Sharipov & Gero Hubel & Volker Nannen & Hans W. Griepentrog, 2023. "Development and Experimental Validation of an Agricultural Robotic Platform with High Traction and Low Compaction," Agriculture, MDPI, vol. 13(8), pages 1-15, July.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:8:p:1510-:d:1204734
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/8/1510/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/8/1510/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dario Floreano & Robert J. Wood, 2015. "Science, technology and the future of small autonomous drones," Nature, Nature, vol. 521(7553), pages 460-466, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ilona Kulikovskikh & Sergej Prokhorov & Tomislav Lipić & Tarzan Legović & Tomislav Šmuc, 2019. "BioGD: Bio-inspired robust gradient descent," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-19, July.
    2. Stöcker, Claudia & Bennett, Rohan & Koeva, Mila & Nex, Francesco & Zevenbergen, Jaap, 2022. "Scaling up UAVs for land administration: Towards the plateau of productivity," Land Use Policy, Elsevier, vol. 114(C).
    3. Kloster, Konstantin & Moeini, Mahdi & Vigo, Daniele & Wendt, Oliver, 2023. "The multiple traveling salesman problem in presence of drone- and robot-supported packet stations," European Journal of Operational Research, Elsevier, vol. 305(2), pages 630-643.
    4. Zhu, Xun & Pasch, Timothy J. & Bergstrom, Aaron, 2020. "Understanding the structure of risk belief systems concerning drone delivery: A network analysis," Technology in Society, Elsevier, vol. 62(C).
    5. Kai Fukami & Kunihiko Taira, 2023. "Grasping extreme aerodynamics on a low-dimensional manifold," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    6. Gonzalo Fernandez-Sanchez & Alvaro Fernandez-Heredia, 2018. "Strategic Thinking for Sustainability: A Review of 10 Strategies for Sustainable Mobility by Bus for Cities," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    7. Hongbo He & Xiaohan Liao & Huping Ye & Chenchen Xu & Huanyin Yue, 2023. "Data-Driven Insights into Population Exposure Risks: Towards Sustainable and Safe Urban Airspace Utilization by Unmanned Aerial Systems," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    8. Schniederjans, Dara G. & Curado, Carla & Khalajhedayati, Mehrnaz, 2020. "Supply chain digitisation trends: An integration of knowledge management," International Journal of Production Economics, Elsevier, vol. 220(C).
    9. Jianwei Sun & Koichi Yonezawa & Eiji Shima & Hao Liu, 2023. "Integrated Evaluation of the Aeroacoustics and Psychoacoustics of a Single Propeller," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
    10. Christian Wankmüller & Christian Truden & Christopher Korzen & Philipp Hungerländer & Ewald Kolesnik & Gerald Reiner, 2020. "Optimal allocation of defibrillator drones in mountainous regions," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 785-814, September.
    11. Wang, Ning & Mutzner, Nico & Blanchet, Karl, 2023. "Societal acceptance of urban drones: A scoping literature review," Technology in Society, Elsevier, vol. 75(C).
    12. Fügener, A. & Grahl, J. & Gupta, A. & Ketter, W., 2019. "Cognitive challenges in human-AI collaboration: Investigating the path towards productive delegation," ERIM Report Series Research in Management ERS-2019-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Gupta, Shaphali & Leszkiewicz, Agata & Kumar, V. & Bijmolt, Tammo & Potapov, Dmitriy, 2020. "Digital Analytics: Modeling for Insights and New Methods," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 26-43.
    14. Emanuele Aucone & Christian Geckeler & Daniele Morra & Lucia Pallottino & Stefano Mintchev, 2024. "Synergistic morphology and feedback control for traversal of unknown compliant obstacles with aerial robots," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    15. Yunus Emre Ayözen, 2023. "Statistical Optimization of E-Scooter Micro-Mobility Utilization in Postal Service," Energies, MDPI, vol. 16(3), pages 1-25, January.
    16. Yuanhao Chen & Cristian Valenzuela & Xuan Zhang & Xiao Yang & Ling Wang & Wei Feng, 2023. "Light-driven dandelion-inspired microfliers," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

    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:gam:jagris:v:13:y:2023:i:8:p:1510-:d:1204734. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.