Abstract: Embodiments of the present disclosure relate to a music generation method, apparatus, system and storage medium. In at least some embodiments of the present disclosure, by displaying a music generation interface including a text input box, a music generation control and a music configuration item in response to an operation by a user triggering the music generation control, so that the user can input a custom text in the text input box and configure a music melody through the music configuration item, and then in response to an operation by the user triggering the music generation control, it is possible to generate a voice based on the custom text input by the user, and generate a music including the voice corresponding to the custom text based on the generated voice and the user configured music melody.

Abstract: The present disclosure provides a juvenile fish limb identification method based on a multi-scale cascaded perceptual convolutional neural network. The method includes the following steps: acquiring a video sequence of a juvenile fish, dividing a fish body into five non-overlapping parts, performing semantic annotation on the five non-overlapping parts, and taking the five non-overlapping parts as an input of the multi-scale cascaded perceptual convolutional neural network; and using a convolutional layer as a feature extractor, performing feature extraction on an input image containing the annotation of each limb, inputting extracted features into an Attention-region proposal network (RPN) structure, determining a category of each pixel, and generating a limb mask of each limb category using a multi-scale cascade method. According to the method, the limbs of the juvenile fish can be efficiently and accurately identified, and technical support is provided for posture quantification of the juvenile fish.

Abstract: An infrared thermal imager and an OpenMV machine vision module provided in a data acquisition device are used to collect crop surface temperature data and image data, respectively, and transmit the data to a computer for processing by a Raspberry Pi module via a wireless transmission module. After reading the image data, the computer obtains color components and growth parameters of the crop, and merges the color components and temperature data to assist in building an early warning model. The system and method enable real-time, continuous and nondestructive monitoring of crop growth information to provide references for adjustment and control of greenhouse environmental parameters.

Abstract: An infrared thermal imager and an OpenMV machine vision module provided in a data acquisition device are used to collect crop surface temperature data and image data, respectively, and transmit the data to a computer for processing by a Raspberry Pi module via a wireless transmission module. After reading the image data, the computer obtains color components and growth parameters of the crop, and merges the color components and temperature data to assist in building an early warning model. The system and method enable real-time, continuous and nondestructive monitoring of crop growth information to provide references for adjustment and control of greenhouse environmental parameters.

Abstract: A real-time counting insecticidal lamp includes a rainproof cover, a LED lamp body, an insect receiver, and a high-voltage grid; the rainproof cover is arranged above the lamp body, the insect receiver is arranged below the lamp body, and the high-voltage grid is arranged at the periphery of the lamp body; the high-voltage grid includes a high-voltage direct current power supply and N-1 wires, and the N-1 wires are arranged in parallel in each interval to form a circle, wherein, N is no less than 10; top ends of the wires are all connected to the power supply end of the power supply, but one of two adjacent wires is electrically connected to the positive end of the power supply while the other is electrically connected to the negative end; the real-time counting insecticidal lamp also includes a counting unit.

Abstract: A real-time counting insecticidal lamp includes a rainproof cover, a LED lamp body, an insect receiver, and a high-voltage grid; the rainproof cover is arranged above the lamp body, the insect receiver is arranged below the lamp body, and the high-voltage grid is arranged at the periphery of the lamp body; the high-voltage grid includes a high-voltage direct current power supply and N-1 wires, and the N-1 wires are arranged in parallel in each interval to form a circle, wherein, N is no less than 10; top ends of the wires are all connected to the power supply end of the power supply, but one of two adjacent wires is electrically connected to the positive end of the power supply while the other is electrically connected to the negative end; the real-time counting insecticidal lamp also includes a counting unit.