A computer-implemented method for generating an improved map of field anomalies using digital images and machine learning models is disclosed. In an embodiment, a method comprises: obtaining a shapefile that defines boundaries of an agricultural plot and boundaries of the field containing the plot; obtaining a plurality of plot images within the field from one or more image capturing devices that are located within the boundaries of the field; calibrating and pre-processing the plurality of plot images to create a plot map of the agricultural plot at a plot level; based on the plot map of the agricultural plot, generating a plot grid; based on the plot grid and the plot map, generating a plurality of plot tiles; based on the plurality of plot tiles, generating, using a first machine learning model and a plurality of first image classifiers corresponding to one or more first anomalies, a set of classified plot images that depicts at least one anomaly; based on the set of classified plot images, generating a plot anomaly map for the agricultural plot; transmitting the plot anomaly map to one or more controllers that control one or more agricultural machines or database systems to perform agricultural functions on the agricultural plot.


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    Titel :

    Mapping field anomalies using digital images and machine learning models


    Beteiligte:
    PESHLOV BOYAN (Autor:in) / WANG WEILIN (Autor:in)

    Erscheinungsdatum :

    2024-06-11


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / A01B SOIL WORKING IN AGRICULTURE OR FORESTRY , Bodenbearbeitung in Land- oder Forstwirtschaft / A01G Gartenbau , HORTICULTURE / B64C AEROPLANES , Flugzeuge / B64U / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



    MAPPING FIELD ANOMALIES USING DIGITAL IMAGES AND MACHINE LEARNING MODELS

    PESHLOV BOYAN / WANG WEILIN | Europäisches Patentamt | 2020

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