The ability to conduct useful science under the framework of precision agriculture is not only dependent upon the collection of high quality usable data of plants, soil, and water, but also dependent upon the type of vehicle the sensors are flown on, properly tuned sensors, and the way in which the vehicle is flown. To achieve this capability requires the proper matching and integration of air vehicle, sensors, mission design, and image processing techniques. Although commercial Unmanned Air Systems are starting to be equipped with autopilots, sensors, and simple data processing software, they are often limited to only one sensor, and often lack cross platform integration expandability. This paper develops methodologies and procedures for a highly integrated fixed-wing Unmanned Air System that is customized for precision agriculture science. It addresses sensor selection, vehicle platform selection, flight planning, and data processing procedures. The approach is validated by assessment of collected imagery and data from flights conducted on actual plots. Results presented in the paper show that by comparison to data collected during earlier flights with a non-integrated system, the approach presented here which matches vehicle characteristics to sensor characteristics and employs proper flight planning, mission design, and auto-triggering of the sensor produces better data quality, and improved mosaicking. The approach is judged to be a promising candidate for improved data collection for precision agriculture.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Development and testing of a customized low-cost unmanned aircraft system based on multispectral and thermal sensing for precision agriculture applications


    Contributors:
    Valasek, John (author) / Lu, Han-Hsun (author) / Shi, Yeyin (author)


    Publication date :

    2017-06-01


    Size :

    5072844 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Remote sensing with unmanned aircraft systems for precision agriculture applications

    Hunt, E. Raymond / Daughtry, Craig S. T. / Mirsky, Steven B. et al. | IEEE | 2013


    Cost-Effective Multispectral Imaging System For Precision Agriculture

    Rajapu, Abhignya / Madisetty, Sai Anuraag / Thokala, Saisree et al. | IEEE | 2022


    AGRICULTURE ASSISTANCE SYSTEM AND UNMANNED AIRCRAFT

    KINOSHITA TOMOHIRO / MORIMOTO TAKANORI / UMEMOTO SUSUMU et al. | European Patent Office | 2024

    Free access

    AGRICULTURE ASSISTANCE SYSTEM AND UNMANNED AIRCRAFT

    KINOSHITA TOMOHIRO / MORIMOTO TAKANORI / UMEMOTO SUSUMU et al. | European Patent Office | 2024

    Free access

    AGRICULTURE ASSISTANCE SYSTEM AND UNMANNED AIRCRAFT

    KINOSHITA TOMOHIRO / MORIMOTO TAKANORI / UMEMOTO SUSUMU et al. | European Patent Office | 2022

    Free access