IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-030-84152-2_7.html
   My bibliography  Save this book chapter

A Weed Control Unmanned Ground Vehicle Prototype for Precision Farming Activities: The Case of Red Rice

In: Information and Communication Technologies for Agriculture—Theme III: Decision

Author

Listed:
  • Aristotelis Koulousis

    (International Hellenic University (IHU))

  • Damianos Kalaitzidis

    (Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology Hellas (CERTH))

  • Dimitrios Bechtsis

    (International Hellenic University (IHU))

  • Christos Yfoulis

    (International Hellenic University (IHU))

  • Naoum Tsolakis

    (Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology Hellas (CERTH))

  • Dionysis Bochtis

    (Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology Hellas (CERTH))

Abstract

The implications of red rice on the total production of commercially cultivated rice are widely documented in the literature. Red rice, due to its genetic similarity with cultivated rice, is not affected by typical herbicides, and thus it is considered as a major weed challenge. Conventional and chemical-based solutions to address red rice are inefficient. In this research, a simulated and a real-world prototype robot system for weed control in paddy fields is developed, which consists of an Unmanned Ground Vehicle (UGV) that is equipped with a specially designed rod mechanism. The rod mechanism is coated with a porous absorbent material (e.g., sponge) that is saturated with herbicide and uses a sensor-based control mechanism for applying the herbicide only to the top of red rice plants thus avoiding the contact with the commercially cultivated rice plants. The rod dynamically reacts to the harsh terrain, via using a slope and a height control automation system, in order to retain the rod mechanism’s height at a certain level and horizontally aligned to the terrain so as to affect only the red rice plants. The method can be applied after the end of the growing season as red rice plants exceed in height the plants of the commercial rice. To that end, the impact of red rice on the cultivation of commercial rice varieties can be limited thus ensuring supply stability downstream the agri-food value network. The prototype robot system operates in a fast and accurate manner and delivers consistent results regardless of the geomorphology of the terrain.

Suggested Citation

  • Aristotelis Koulousis & Damianos Kalaitzidis & Dimitrios Bechtsis & Christos Yfoulis & Naoum Tsolakis & Dionysis Bochtis, 2022. "A Weed Control Unmanned Ground Vehicle Prototype for Precision Farming Activities: The Case of Red Rice," Springer Optimization and Its Applications, in: Dionysis D. Bochtis & Claus Grøn Sørensen & Spyros Fountas & Vasileios Moysiadis & Panos M. Pardalos (ed.), Information and Communication Technologies for Agriculture—Theme III: Decision, pages 143-158, Springer.
  • Handle: RePEc:spr:spochp:978-3-030-84152-2_7
    DOI: 10.1007/978-3-030-84152-2_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:spochp:978-3-030-84152-2_7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.