Baidu Online Network Technology (beijing) Co., Ltd.

Beihang University

Borqs Wireless Ltd.

Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences

Beijing Research Center for Information Technology in Agriculture

Wei Zou

Xiangang Li

Weiwei Cui

Jingyuan Hu

Rui Zhang

Jian Ken Song

Zhiqiang Zhang

Shuo Yang

Xiaofei Zhou

Bin Huang

Zhenzhong Wei

Wei Ma

Liping Chen

Fan Feng

Songlin Wang

Jianbing Li

Si Li

Changyuan Zhai

Hanjie Dou

Binhu Chai

Yue Min

Xiu Wang

An intelligent air-assisted spraying device for orchards includes a traction mechanism, a spaying system, a collecting system, and a processing-controlling system. The traction mechanism is provided with a spray tank. The spaying system includes a main body connected to the spray tank and multiple spraying tubes, first ends of the spraying tube are communicated with the main body, and second ends of the spraying tubes are capable of rotating. The collecting system is configured to collect a contour and a volume of the canopy, and branch and leaf density of a fruit tree. The processing-controlling system is configured to obtain multiple spraying areas, calculate an air outlet angle of each spraying tube, and control a rotation of the second end of each spraying tube according to the air outlet angle. The device can adjust the spraying direction of each spraying tube, and the quality of pesticide application can be improved.

Intelligent air-assisted spraying device for orchards and spraying method thereof

Embodiments of the present disclosure provide a speech noise reduction method and a speech noise reduction device based on artificial intelligence and a computer device. The method includes the followings. A first noisy speech to be processed is received. The first noisy speech to be processed is pre-processed, to obtain the first noisy speech in a preset format. The first noisy speech in the preset format is sampled according to a sampling rate indicated by the preset format, to obtain first sampling point information of the first noisy speech. A noise reduction is performed on the first sampling point information through a deep-learning noise reduction model, to generate noise-reduced first sampling point information. A first clean speech is generated according to the noise-reduced first sampling point information.

Speech noise reduction method and device based on artificial intelligence and computer device

An artificial intelligence-based cross-language speech transcription method and apparatus, a device and a readable medium. The method includes pre-processing to-be-transcribed speech data to obtain multiple acoustic features, the to-be-transcribed speech data being represented in a first language; predicting a corresponding translation text after transcription of the speech data according to the multiple acoustic features and a pre-trained cross-language transcription model; wherein the translation text is represented in a second language which is different from the first language. According to the technical solution, it is unnecessary, upon cross-language speech transcription, to perform speech recognition first and then perform machine translation, but to directly perform cross-language transcription according to the pre-trained cross-language transcription model. The technical solution can overcome the problem of error accumulation in the two-step cross-language transcription manner in the prior art, and can effectively improve accuracy and efficiency of the cross-language speech transcription as compared with the prior art.

Artificial intelligence-based cross-language speech transcription method and apparatus, device and readable medium using Fbank40 acoustic feature format

The present invention discloses a structural light parameter calibration device and method based on a front-coating plane mirror. The calibration device includes a camera, a laser, a front-coating plane mirror, a flat glass target, and white printing paper. The white printing paper receives a laser beam and presents a real light strip image, and the camera captures the real light stripe image and a mirror light stripe image on the front-coating plane mirror. Feature points are used to determine a rotation matrix, a translation vector, and a vanishing point for the image. The present invention achieves better quality of light stripe and better extraction accuracy, provides feature points with micron-level positional accuracy and more calibration points, and features higher calibration accuracy and more stable calibration results.

Structural light parameter calibration device and method based on front-coating plane mirror

The present disclosure provides a method and a device for processing a speech based on artificial intelligence. The method includes: receiving a speech processing request, in which the speech processing request includes a first digital speech signal and a first sample frequency corresponding to the first digital speech signal; selecting a target speech processing model from a pre-trained speech processing model base according to the first sample frequency; performing up-sampling processing on the first digital speech signal using the target speech processing model to generate a second digital speech signal having a second sample frequency, in which the second sample frequency is larger than the first sample frequency.

Method and device for processing speech based on artificial intelligence

In a device for producing quantitative-diameter spray droplets of pesticide, a driving motor is controlled by a control center, the driving motor drives a lead screw, the lead screw drives a sliding device to achieve a designated accurate position on a guide track, and a piston moves slowly along with the sliding device to extrude chemicals in a droplet generator quantitatively, the chemicals extruded by the piston through the motion in a droplet cavity forms small single droplets through a guide pipe, the droplets with specific particle size are further generated by precisely controlling the extrusion amount of the chemicals, so that the device can be widely used for studies about diffusion of the droplets evaporation property of the single droplets and the like tested by water-sensitive paper, as well as tests of the properties of the pesticide, and further has broad application prospects.

Device and method for producing quantitative-diameter spray droplets of pesticide

A method and a device for rapidly editing sending content based on a receiver. A sending-content-learning module is used to learn sending content to generate a content fragment for a receiver, and perform word frequency statistics on the content fragment; a corresponding list is generated from receiver information, the content fragment, and the word frequency statistics, and is stored; for the receiver and the word frequency statistics, the content fragment is displayed for a sender to edit the sending content, so as to send the sending content to a corresponding receiver. When a user edits a short message or an email, a content fragment commonly used for a corresponding receiver is displayed in a display box, and a sender can rapidly complete editing by selecting a required content fragment, thereby facilitating fast and convenient input and improving the user experience.

Method and device for rapidly editing sending content based on a receiver

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Beijing, China

Wei Zou