This chapter presents an Unmanned Aircraft System (UAS) which consists of a helicopter, a fixed wing Unmanned Aerial Vehicles (UAVs), and their supporting infrastructure. This UAS, which was used in a number of environmental research experiments focused on autonomous remote sensing, detection, classification, and management of invasive species, weeds, in Australia.

    The annual cost of weeds to the Australian economy is estimated at A$4 billion. Over the last few years, experiments have been performed at three geographically distant regions of Australia to evaluate if the UAS can be used as a cost-effective tool in management of invasive species. In these experiments three distinct families of weeds, growing on three different types of terrain were investigated.

    In the first group of experiments, a helicopter UAV equipped with a high-resolution imaging payload was flown over difficult to reach water channels and wetlands for detection of aquatic weeds. The second set of experiments was performed in large, relatively flat rangelands to map woody weed infestations. A low-flying fixed-wing UAV platform was also operated over a designated cattle grazing area and collected high-resolution aerial imagery. Weed infestation maps were produced from aerial imagery using machine learning techniques. By incorporating the human subject matter experts and farmers into the decision-making process, weed management plans produced. An autonomous helicopter was then tasked with spraying herbicides on aquatic weeds and dispensing granular herbicides on top of the selected woody weeds. The third set of experiments was focused on the airborne detection of wheel cacti on remote mountainous terrain using fixed-wing aircraft. Cacti infestation maps were generated and compared with data collected by weed experts on the ground. Successful results of these experiments are encouraging and suggest that robotic aircrafts in a properly designed UAS can play an important role in environmental robotic science.


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    Titel :

    Autonomous Remote Sensing of Invasive Species from Robotic Aircraft


    Beteiligte:
    Valavanis, Kimon P. (Herausgeber:in) / Vachtsevanos, George J. (Herausgeber:in) / Göktoǧan, Ali Haydar (Autor:in) / Sukkarieh, Salah (Autor:in)

    Erschienen in:

    Handbook of Unmanned Aerial Vehicles ; Kapitel : 72 ; 2813-2834


    Erscheinungsdatum :

    09.08.2014


    Format / Umfang :

    22 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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