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Tea picking machine based on image processing and working method

An image processing and working method technology, applied in the direction of pickers, harvesters, agricultural machinery and implements, etc., can solve problems such as the solutions proposed by the pickers, and achieve the effect of good preservation

Inactive Publication Date: 2019-08-30
XIAN UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The search found that, in the current relevant public patents, there is no solution to the picking machine after it reaches the end of the tea.

Method used

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  • Tea picking machine based on image processing and working method
  • Tea picking machine based on image processing and working method
  • Tea picking machine based on image processing and working method

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Embodiment Construction

[0041] In order to make the present invention clearer and clearer to those skilled in the art, the present invention will be described in further detail below in conjunction with the examples and accompanying drawings, but the implementation of the present invention is not limited thereto.

[0042] This embodiment is a tea picking machine based on image processing, including a left-wing picker, a right-wing picker, and a picker main body 1. Connected, the liftable main frame 8 is driven by a stepping motor 10, and lifts along the lifting guide rail 6; a solar panel 2 is arranged above the liftable main frame 8, and the solar panel 2 blocks strong light while collecting energy to provide Better image acquisition environment; the camera 9 transmits the acquired data to the central processing unit inside the main body 1 of the picking machine, and the central processing unit performs three-dimensional modeling on the tea tree and young leaves through the acquired data, and judges ...

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Abstract

The invention discloses a tea picking machine based on image processing. The tea picking machine is characterized in that tea is not damaged during picking, and picked tender leaves are automaticallylayered. The invention also discloses a working method of the tea picking machine based on image processing. According to the method, three-dimensional models of tea ridges and the tender leaves are constructed through analysis of images, the tender leaves are precisely located, and picking arms carry out breaking-type picking on the tender leaves, so that precise picking of the tender leaves is realized. The tea picking machine has the following advantages that the tea picking machine does not damage tea trees and the tender leaves, the bud-leaf number ratio can be freely selected for pickingthe tender leaves, the fresh-keeping performance for storing the tender leaves is great, the picking efficiency is high, and the machine can reach the ends of the tea ridges, automatically stop and send out an alarm when encountering obstacles.

Description

technical field [0001] The invention relates to a tea picking machine and a working method based on the tea picking machine, in particular to a tea picking machine and working method based on image processing, belonging to the technical field of agricultural machinery. Background technique [0002] At present, most tea picking machines adopt the pushing and cutting type of picking. The young leaves picked by this method are uneven in length, prone to missed picking, and cause a lot of damage to the young leaves, which affects the quality of the young leaves. Tea farmers often pick young leaves by breaking them in the process of picking tea. This is only because breaking the stems of young leaves can bring better quality to the young leaves. [0003] The search found that the Chinese patent No. 201310406555.1 discloses an intelligent tea picking machine for young leaves. The machine projects grating stripes to the tea tree through a projector, and then obtains the reflective ...

Claims

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Application Information

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IPC IPC(8): A01D46/04
CPCA01D46/04
Inventor 田磊魏淑康王小辉常淑娟黄朝杰
Owner XIAN UNIV OF POSTS & TELECOMM
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