Abstract: Systems and methods for modeling a population density of a pest are provided. A computer implemented method for modeling a population density of a pest can include receiving environmental data corresponding to a first time point. The method can include generating model input data from the environmental data using a machine learning model. The method can also include generating a population density of the pest from the model input data using a mechanistic model. The population density can correspond to a second time point temporally after the first time point.

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.

Abstract: A system for monitoring a beehive includes a sensor bar. The sensor bar has a physical size and shape to function as a frame bar of a honeybee frame that slides into a chamber of a beehive. The sensor bar includes an enclosure having a plurality of holes, a microphone disposed within the enclosure to record sound emanating through the holes from the beehive, and at least one interior environmental sensor disposed within the enclosure to measure an interior environmental characteristic of the beehive.