Sensor bar for beehive monitoring

    公开(公告)号:USD992220S1

    公开(公告)日:2023-07-11

    申请号:US29730941

    申请日:2020-04-09

    Abstract: FIG. 1 is a top perspective view of a sensor bar for beehive monitoring, showing our new design;
    FIG. 2 is a bottom perspective view thereof;
    FIG. 3 is a top plan view thereof;
    FIG. 4 is a bottom plan view thereof;
    FIG. 5 is a left side elevation view thereof;
    FIG. 6 is a right side elevation view thereof;
    FIG. 7 is a front elevation view thereof;
    FIG. 8 is a rear elevation view thereof; and,
    FIG. 9 is a top perspective view, shown within an environment of use.
    The broken lines depict environmental subject matter and forms no part of the claimed design.

    SEMI-SUPERVISED AUDIO REPRESENTATION LEARNING FOR MODELING BEEHIVE STRENGTHS

    公开(公告)号:US20220087230A1

    公开(公告)日:2022-03-24

    申请号:US17379723

    申请日:2021-07-19

    Abstract: Systems, methods, and non-transitory computer readable media are provided for monitoring the state of a periodic system. A computer implemented method for modeling a state of a periodic system includes inputting a spectrogram sequence to a machine-learning model trained to generate a latent representation from the spectrogram sequence. The spectrogram sequence includes a plurality of audio spectrograms representing sound generated by a periodic system. The method includes outputting the latent representation from the machine learning model. The method includes concatenating the latent representation with environmental data describing an environment of the periodic system, together defining an input sequence. The method includes inputting the input sequence to a predictor model trained to predict a state of the periodic system from the input sequence. The method also includes predicting the state of the periodic system with the predictor model.

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