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Method for carrying out real-time identification and targeted spraying on cotton field weeds

A technology for weeds and cotton fields, applied in the fields of weed elimination equipment, character and pattern recognition, and insect capture or killing devices, etc. The effect of ecological environment pollution, improving the utilization rate of pesticides and reducing environmental pollution

Inactive Publication Date: 2011-09-07
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are about 1,500 kinds of weeds in farmland in my country, including 38 kinds of malignant weeds, 94 kinds of regional weeds, and 364 kinds of common weeds; the harm of field weeds to crops mainly includes: competing with crops for water, Fertilizers and glare will affect the yield and quality of crops; increase management labor and production costs, and weeds will also reduce the quality of agricultural products; in addition, weeds will also promote the breeding and spread of diseases and insect pests; Over 2.39 million tons of grain, over 20,000 tons of cotton, nearly 200,000 tons of oil crops, and over 1.37 million tons of other crops have been lost due to weed damage; weed damage alone causes an annual loss of about US$76.3 billion on 1.5 billion hectares of arable land worldwide
[0004] At present, the most important weeding method in the world is chemical weeding. In developed countries, the amount of herbicides used accounts for nearly half of the amount of pesticides used; in my country, the amount of herbicides used has increased rapidly in recent years, accounting for 20% of the amount of pesticides used. %, with a total annual consumption of nearly 470,000 tons, and now herbicides are mainly used in large-scale spraying. Herbicides sprayed on non-weed areas not only cause waste, but also bring serious air pollution, water pollution, Soil pollution, pollution of agricultural products and other hazards. The drugs left in the soil will also affect the crops in the rotation, causing root tumors, etc., causing phytotoxicity. In addition, China's agricultural production labor force is also decreasing, and it is gradually unable to meet the needs of the crops. In view of the needs of backward production methods in China, in order to reduce the harm of weeds, reduce environmental pollution, improve the utilization rate of pesticides, liberate the labor force of weeding, and realize the automatic and scientific subject of weed control is worth exploring

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  • Method for carrying out real-time identification and targeted spraying on cotton field weeds
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  • Method for carrying out real-time identification and targeted spraying on cotton field weeds

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Embodiment Construction

[0021] The present invention is aimed at agricultural automatic weeding devices, and proposes a real-time identification method for weeds in cotton fields based on a DSP embedded system. After processing the acquired field images, weeds are identified from green crops, and the weed information is sent to the control panel. The microcontroller with the nozzle turned on realizes precise spraying on the target, so as to save pesticides and reduce environmental pollution.

[0022] like figure 1 , figure 2 As shown, the weeding mobile platform walks along the crop row, and the camera installed at its front end captures the color image of the cotton field in real time directly above the crop row, and then decodes the video decoder TVP5150PBS to convert the PAL video signal into a digital color difference signal (YUV4:2 :2), stored in off-chip SDRAM, called by DSP chip.

[0023] For the frame image acquired by the DSP processor, identify weeds between rows according to the positio...

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Abstract

The invention relates to a method for carrying out real-time identification and targeted spraying on cotton field weedsVisual system hardwares, comprising an additional light source, a CCD color video camera, an A / D converter, a DSP image processor, a D / A converter and an LCD (liquid crystal display) display; the additional light source can improve the situation in which light is not uniform or bright enough under natural conditions.The identification method comprises the following steps: a video camera installed at the front part of a weeding machine captures cotton field images in real time; after A / D conversion, the images are stored in a chip memory for being called by a DSP (Digital Signal Processor); the DSP extracts frame images from video streams and processes the frame images; green plants from soil backgrounds are segmented by the Cr characteristic method; the images are equally divided into four lines according to the arrangement of spray nozzles with each spray nozzle corresponding to a line; position features are used to recognize weeds among the lines; the weeds are recognized according to area and form features of blades; weeds position information is transmitted to a microcontroller; and the spray nozzles are opened to carry out accurate targeted spraying of weed killer to save pesticides and reduce pollution to the environment.

Description

technical field [0001] The invention belongs to the technical field of automatic control of agricultural machinery equipment, relates to an embedded machine vision system applied to weeding in cotton fields, and in particular to a method for real-time identification and spraying of weeds in cotton fields. Background technique [0002] Weed control in farmland is mainly based on the use of chemical herbicides. Now herbicides are mainly used for large-scale spraying. The herbicides sprayed on non-weed areas not only cause waste, but also cause serious air pollution, water pollution, soil pollution, and agricultural product pollution. In addition, agricultural production The labor force is also constantly decreasing. In order to reduce the harm of weeds, reduce environmental pollution, improve the utilization rate of pesticides, liberate the labor force of weeding, and realize the automation and scientificization of weed control is worth exploring. [0003] Field weeds are the...

Claims

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Application Information

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IPC IPC(8): A01M7/00A01M21/00G06K9/00
Inventor 陈树人裴文超尹东富
Owner JIANGSU UNIV
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