Technologies for monitoring beehives in an apiary includes one or more sensors communicatively coupled to a remote data analysis computing device, which is communicatively coupled to a client computing device. The sensors are configured to monitor beehives and/or the environment of the apiary and transmit the sensed data to the remote data analysis computing device. The remote data analysis computing device is configured to analyze the received sensor data, determine whether to perform an action as a function of a result of the analysis, and perform the function, as applicable. The client computing device is configured to interface with the remote data analysis computing device such that a user of the client computing device can view results of the data analysis and actions, as well as provide input and adjust settings administered by the remote data analysis computing device. A model for assessing beehive strength from an infrared image is also disclosed. Other embodiments are described herein.

Technologies for monitoring beehives in an apiary includes one or more sensors communicatively coupled to a remote data analysis computing device, which is communicatively coupled to a client computing device. The sensors are configured to monitor beehives and/or the environment of the apiary and transmit the sensed data to the remote data analysis computing device. The remote data analysis computing device is configured to analyze the received sensor data, determine whether to perform an action as a function of a result of the analysis, and perform the function, as applicable. The client computing device is configured to interface with the remote data analysis computing device such that a user of the client computing device can view results of the data analysis and actions, as well as provide input and adjust settings administered by the remote data analysis computing device. A model for assessing beehive strength from an infrared image is also disclosed. Other embodiments are described herein.

An improved modular beehive apparatus includes a hive body, a hive top, a hive bottom, a plurality of frames, and at least one securing means for securing at least the top to the body. In one embodiment of the present invention, the body is modular, thereby allowing multiple bodies to be stacked on top of one another. To ensure modularity, not only should an uppermost portion of the body be configured to mate with the top, but it should also be configured to mate with a lowermost portion of another body. To enhance integrity, the portions that mate (e.g., the top and body) should be “interlockable.” The more interlocking the structures are, the more secure the beehive apparatus becomes. Especially if the structures are secured together (e.g., using screws, etc.).

An improved modular beehive apparatus includes a hive body, a hive top, a hive bottom, a plurality of frames, and at least one securing means for securing at least the top to the body. In one embodiment of the present invention, the body is modular, thereby allowing multiple bodies to be stacked on top of one another. To ensure modularity, not only should an uppermost portion of the body be configured to mate with the top, but it should also be configured to mate with a lowermost portion of another body. To enhance integrity, the portions that mate (e.g., the top and body) should be “interlockable.” The more interlocking the structures are, the more secure the beehive apparatus becomes. Especially if the structures are secured together (e.g., using screws, etc.).

A Murder Hornet excluder is described. The excluder is made from a mesh that has openings large enough to let both queen and worker bees in and out, but too small to allow the much larger hornets to invade. It has a stepped top, two sides and a bottom that “wrap around” the entrance to a beehive. The stepped top extends the front several inches in front of the opening to the hive to give honeybees a “safe cage”, with adequate room to begin flight and descend after passing through the excluder. In a preferred embodiment, the mesh is between 6 mm and 10 mm on a side.

A Murder Hornet excluder is described. The excluder is made from a mesh that has openings large enough to let both queen and worker bees in and out, but too small to allow the much larger hornets to invade. It has a stepped top, two sides and a bottom that “wrap around” the entrance to a beehive. The stepped top extends the front several inches in front of the opening to the hive to give honeybees a “safe cage”, with adequate room to begin flight and descend after passing through the excluder. In a preferred embodiment, the mesh is between 6 mm and 10 mm on a side.

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.

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.

A miticidal beehive entranceway is provided having a solid substrate coated with a thymol-containing composition and having holes dimensioned to compel bees entering/exiting the beehive to walk through the holes and contact the thymol-containing composition, thereby exposing mites attached to the bee to a killing dose of thymol while not injuring the bee. In some embodiments, the entranceway may have agitating bristles (which may be coated with thymol) extending into the entranceway, which contact the body of the bee to agitate or dislodge the mites attached to the bee, further enhancing mite removal or death.

A miticidal beehive entranceway is provided having a solid substrate coated with a thymol-containing composition and having holes dimensioned to compel bees entering/exiting the beehive to walk through the holes and contact the thymol-containing composition, thereby exposing mites attached to the bee to a killing dose of thymol while not injuring the bee. In some embodiments, the entranceway may have agitating bristles (which may be coated with thymol) extending into the entranceway, which contact the body of the bee to agitate or dislodge the mites attached to the bee, further enhancing mite removal or death.