Weeding device and weeding method
A technology of weeds and direction of travel, applied in neural learning methods, television, biological neural network models, etc., can solve problems such as environmental damage to farmland and water areas, excessive application of chemical herbicides, and increased risk of pesticide residues, etc., to make up for the details Insufficient growth, good weeding effect, and effect of preventing damage
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Embodiment 1
[0069] This embodiment provides a weeding device for mechanical weeding in the field, which can protect the farmland environment and maintain the growth of target economic crops, and has higher weeding efficiency and better weeding effect.
[0070] Such as figure 1 and figure 2 As shown, the weeding device includes a connection assembly 1 , a weeding mechanism 2 , a global camera module 3 , a local camera module 4 and a main control system 5 .
[0071] Wherein, the connection assembly 1 is used to connect with other equipment, so that other equipment can drive the weeding device to move along the X direction through the connection assembly 1 to traverse the entire farmland. Exemplarily, the other equipment may be a field management robot, which can move autonomously and whose moving speed can be controlled. Optionally, the connection assembly 1 includes three mounting bracket cross bars and two mounting bracket vertical bars, the three mounting bracket cross bars are connec...
Embodiment 2
[0096] This embodiment also provides a method of weeding, which is applied to the weeding device described in Embodiment 1, such as Figure 11 Shown, this weeding method comprises the steps:
[0097] S1. Obtain distribution images of target economic crops and weeds captured by the global camera module 3 in the first area located on the side of the weeding device in the direction of travel.
[0098] The position of the global camera module 3 is higher, therefore, the global camera module 3 can capture images of a larger area. It should be noted that the images captured by the global camera module 3 should be able to clearly capture each target economic crop in the first area. Figure 13 It is the distribution image of the target commercial crops and weeds taken by the global camera module 3, wherein the hexagonal star pattern represents the target commercial crops, and the rhombus pattern, oval pattern and triangle pattern represent different types of weeds respectively.
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