The present invention relates to a crop yield prediction method and system based on low-altitude remote sensing information from an unmanned aerial vehicle (UAV). The method includes: obtaining a plurality of images taken by the UAV, where the UAV uses a multi-spectral camera to shoot crop canopies to obtain reflection spectrum images of a plurality of different bands; stitching the plurality of images to obtain a stitched image; performing spectral calibration on the stitched image to obtain the reflectivity of each pixel in the stitched image; using a threshold segmentation method to segment the stitched image, to obtain a target area for crop yield prediction; using a Pearson correlation analysis method to analyze a correlation between the reflectivity of each band and the growth status and yield of the crop to obtain feature bands; constructing yield prediction factors based on the feature bands; and determining a predicted crop yield value of the target area for crop yield prediction based on the yield prediction factors and a crop planting area of the target area for crop yield prediction. The present invention can improve the accuracy of crop yield prediction and reduce labor intensity. Obtain a plurality of images taken by a UAV Stitch the plurality of images to obtain a stitched image Perform spectral calibration on the stitched image based on a calibration coefficient of a spectral calibration plate to obtain the reflectivity of each pixel in the stitched image 1 _400 Use a threshold segmentation method to segment the stitched image based on the reflectivity of each pixel, to obtain a target area for crop yield prediction Use a Pearson correlation analysis method to analyze a correlation between the reflectivity of each band and the growth status and yield of the crop to obtain feature bands Construct yield prediction factors based on the feature bands Determine a predicted crop yield value of the target area for crop yield prediction based on the yield prediction factors and a crop planting area of the target area for crop yield prediction


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    Titel :

    Crop yield prediction method and system based on low-altitude remote sensing information from unmanned aerial vehicle


    Beteiligte:
    LIU FEI (Autor:in) / KONG WENWEN (Autor:in) / HE YONG (Autor:in) / ZHOU JUN (Autor:in) / GUO HAN (Autor:in) / SHEN JIANGANG (Autor:in)

    Erscheinungsdatum :

    17.09.2020


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    A01G Gartenbau , HORTICULTURE / B64C AEROPLANES , Flugzeuge / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06K Erkennen von Daten , RECOGNITION OF DATA



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