A method for performing a crop yield estimation using a semi-supervised deep convolution neural network is provided. The method includes receiving monitoring data from a drone, wherein the monitoring data comprises a video of the crops captured by the drone; sampling the video by a predefined frame rate to obtain one or more images; inputting the images to a crop yield estimation model to obtain one or more result data, wherein the crop yield estimation model comprises a generator and a discriminator each comprising one or more DCNNs, and wherein the crop yield estimation model is trained by a semi-supervised learning method; and performing a quantity estimation and a quality estimation corresponding to the crops as shown in the images according to the one or more result data, so as to determine a total number and maturities of the crops respectively.


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    Title :

    Method and apparatus using semi-supervised deep convolution neural network for crop yield estimation in intelligent agriculture


    Contributors:
    YUAN YIXUAN (author) / MAI XIAOCHUN (author)

    Publication date :

    2024-11-26


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06V / A01B SOIL WORKING IN AGRICULTURE OR FORESTRY , Bodenbearbeitung in Land- oder Forstwirtschaft / B64C AEROPLANES , Flugzeuge / B64U / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL




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