Abstract: A weeding device for crops having a seedling avoidance function includes a rack connected to a weeding machine. A hydraulic pump and two hydraulic cylinders are mounted to the rack. Bottom ends of each of the two hydraulic cylinders are provided with a vertically arranged support rod. An inter-row weeder is mounted to a bottom end of each of the two support rods. A slider configured to reciprocate in a horizontal direction is positioned on two slide rails that are mounted to the rack. An inter-plant weeder is mounted to a bottom side of the slider. A plurality of weeder blades are arranged side by side on the inter-plant weeder. At the weeding position, an arrangement direction of weeder blades is perpendicular to an advancing direction, and at the weed avoidance position, the arrangement direction of the weeder blades is parallel to the advancing direction, thereby avoiding crops.

Abstract: A weeding device for crops having a seedling avoidance function includes a rack connected to a weeding machine. A hydraulic pump and two hydraulic cylinders are mounted to the rack. Bottom ends of each of the two hydraulic cylinders are provided with a vertically arranged support rod. An inter-row weeder is mounted to a bottom end of each of the two support rods. A slider configured to reciprocate in a horizontal direction is positioned on two slide rails that are mounted to the rack. An inter-plant weeder is mounted to a bottom side of the slider. A plurality of weeder blades are arranged side by side on the inter-plant weeder. At the weeding position, an arrangement direction of weeder blades is perpendicular to an advancing direction, and at the weed avoidance position, the arrangement direction of the weeder blades is parallel to the advancing direction, thereby avoiding crops.

Abstract: An embodiment of the present disclosure discloses a method and a system for speech recognition. The method comprises steps of intercepting a first speech segment from a monitored speech signal, analyzing the first speech segment to determine an energy spectrum; extracting characteristics of the first speech segment according to the energy spectrum, determining speech characteristics; analyzing the energy spectrum of the first speech segment according to the speech characteristics, intercepting a second speech segment; recognizing the speech of the second speech segment, and obtaining a speech recognition result. The method solves the problems of single recognition function and low recognition rate of the prior art in the off-line state.