• DocumentCode
    1601335
  • Title

    Towards Smart Farming and Sustainable Agriculture with Drones

  • Author

    Tripicchio, Paolo ; Satler, Massimo ; Dabisias, Giacomo ; Ruffaldi, Emanuele ; Avizzano, Carlo Alberto

  • Author_Institution
    Gustavo Stefanini Adv. Robot. Res. Center, Scuola Superiore Sant´Anna, Pisa, Italy
  • fYear
    2015
  • Firstpage
    140
  • Lastpage
    143
  • Abstract
    The use of drones in agriculture is becoming more and more popular. The paper presents a novel approach to distinguish between different field´s plowing techniques by means of an RGB-D sensor. The presented system can be easily integrated in commercially available Unmanned Aerial Vehicles (UAVs). In order to successfully classify the plowing techniques, two different measurement algorithms have been developed. Experimental tests show that the proposed methodology is able to provide a good classification of the field´s plowing depths.
  • Keywords
    agriculture; autonomous aerial vehicles; control engineering computing; image colour analysis; image sensors; robot vision; RGB-D sensor; UAV; commercially available unmanned aerial vehicles; drones; field plowing techniques; measurement algorithms; plowing depths; smart farming; sustainable agriculture; Agriculture; Cameras; Drones; Navigation; Robot sensing systems; Soil; Three-dimensional displays; drones; mobile robots; plowing; point cloud; rgb-d;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Environments (IE), 2015 International Conference on
  • Conference_Location
    Prague
  • Type

    conf

  • DOI
    10.1109/IE.2015.29
  • Filename
    7194284