• DocumentCode
    670234
  • Title

    Specification development of robotic system for pesticide spraying in greenhouse

  • Author

    Komasilovs, Vitalijs ; Stalidzans, Egils ; Osadcuks, Vitalijs ; Mednis, Martins

  • Author_Institution
    Dept. of Comput. Syst., Latvia Univ. of Agric., Jelgava, Latvia
  • fYear
    2013
  • fDate
    19-21 Nov. 2013
  • Firstpage
    453
  • Lastpage
    457
  • Abstract
    Robotic systems are replacing humans in increasing number of dangerous tasks. Pesticide spraying in greenhouses is one of tasks where a number of robotic systems have been developed and tested. Therefore it is the right time to raise the question about optimisation of the costs efficiency of robot colony. In case of homogenous robotic system only the number of universal robots has to be determined. The drawback is that some subsystems (vision, spraying) might be utilised at a very low rate and the investment may be inefficient. To avoid that it is possible to design a heterogeneous robotic system where the solution space of a robotic system specification is large and optimisation task becomes very complex. Still a good solution can reduce costs. Optimisation of specification of heterogeneous robotic system for pesticide spraying (plant inspection, spraying and pesticide transport functions) in a greenhouse with rectangular layout is performed using genetic algorithms and corresponding open source GAMBot-Eva software. Optimisation results demonstrate three groups of solutions that are within 3% range of lowest possible costs: 1) homogeneous system of universal robots, 2) heterogeneous system with two types of robots (inspection-spraying robots and spraying-transportation robots) and 3) heterogeneous system with two types of robots without duplicating functions (inspection-spraying robots and transportation robots). Applied optimisation approach can be adapted for different robot missions.
  • Keywords
    cost reduction; genetic algorithms; greenhouses; inspection; mobile robots; pest control; spraying; applied optimisation approach; cost reduction; costs efficiency optimisation; genetic algorithms; greenhouse; heterogeneous robotic system; heterogeneous system; homogenous robotic system; inspection-spraying robots; investment; open source GAMBot-Eva software; optimisation task; pesticide spraying; pesticide transport functions; plant inspection; rectangular layout; robot colony; robot missions; robotic system specification; specification development; specification optimisation; spraying-transportation robots; universal robots; Agriculture; Green products; Inspection; Optimization; Robot sensing systems; Spraying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2013 IEEE 14th International Symposium on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4799-0194-4
  • Type

    conf

  • DOI
    10.1109/CINTI.2013.6705239
  • Filename
    6705239