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Artificial-intelligence-technology-based multi-spray-path precise toward-target weeding module with controlled spray span

An artificial intelligence, spraying technology, applied in character and pattern recognition, weed elimination equipment, biological neural network model, etc., can solve the problem of herbicide resource waste, ecological environment pollution and other problems, and achieve accurate spraying on the target. , the effect of reducing residue and improving work efficiency

Pending Publication Date: 2020-07-10
NORTHEAST AGRICULTURAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the extensive "carpet type" and "broad-width" herbicide delivery methods of chemical weeding, which cause serious waste of herbicide resources and ecological environment pollution, the present invention designs a multi-spray path controllable spraying method based on artificial intelligence technology. Width type precise target weeding module

Method used

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  • Artificial-intelligence-technology-based multi-spray-path precise toward-target weeding module with controlled spray span
  • Artificial-intelligence-technology-based multi-spray-path precise toward-target weeding module with controlled spray span
  • Artificial-intelligence-technology-based multi-spray-path precise toward-target weeding module with controlled spray span

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Embodiment Construction

[0013]It is a multi-spray channel controllable spray pattern precise target weeding module based on artificial intelligence technology. It is characterized in that the device consists of a fixed part, an image collector, a first floor of the mobile part, and a second floor of the mobile part. Three groups of movable structures and The new controllable spray nozzle unit is composed of the fixed part consisting of a square steel frame 1, a layer of square steel plate 9, a linear guide rail 10, a second layer of square steel plate 5, a timing belt sliding table fixing seat 19, a timing belt sliding table 6, and motor fixing Block 7, 86 stepper motor 8, linear displacement sensor fixing card 26, linear displacement sensor 27, 3D printing pad 4, two-layer synchronous belt sliding table fixing steel plate 31, solenoid valve 2, solenoid valve fixing steel plate 3, image acquisition The device is composed of an industrial camera 16 and a fixed steel plate for the camera 17. The first l...

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Abstract

The invention discloses an artificial-intelligence-technology-based multi-spray-path precise toward-target weeding module with a controlled spray span, and relates to the field of agricultural machinery. The artificial-intelligence-technology-based multi-spray-path precise toward-target weeding module with the controlled spray span is specifically applied to intelligent field weeding of multiple kinds of crops of the field of agriculture. The module is used for multiple kinds of carrying platforms, and fast plug-in mounting can be achieved. The device is suitable for field weeding of the multiple kinds of field crops in different growth cycles. According to the device, a lightweight convolutional neural network is adopted for recognizing weed information, so that bases are provided for agent type selection, target spray parameters and flows, the pressure, automatic optimization of spray head angles and sedimentation region planning. A multi-channel target spray unit can spray differenttypes of weed killers onto different types of weeds, a synchronous belt sliding table drives spray heads to transversely move to conduct precise toward-target spray on the weeds, and a spray range can be adjusted according to the size of weed groups. By means of the toward-target spray system, the pesticide usage can be reduced, pollution to an ecological environment is abated, and the working efficiency is effectively improved.

Description

technical field [0001] The invention discloses a multi-spray channel controllable spray width type precise target weeding module based on artificial intelligence technology, relates to the fields of agricultural machinery, automatic control and artificial intelligence, and is specifically applied to field intelligent weeding of various crops in the agricultural field . Background technique [0002] Food production is related to the food security of the country, but in the process of agricultural production, problems such as weed damage and excessive use of pesticides in farmland pose a serious threat to food production and production safety: farmland weeds compete with crops for light, heat, water, fertilizer, etc. resources, affecting food production. Survey data show that in 2018, the total national grain output reached 657.89 million tons, and 30 billion kilograms of grain was lost due to weed damage, and the loss of grain output caused by weed damage was as high as 4.56...

Claims

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Application Information

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IPC IPC(8): A01M21/04H04N5/225F16M13/02G06N3/04G06K9/20
CPCA01M21/043F16M13/02G06V10/22H04N23/00G06N3/045
Inventor 杨春杰权龙哲张瀚文张溪麟毛首人姜伟吴冰关超李腾芳
Owner NORTHEAST AGRICULTURAL UNIVERSITY
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