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Intelligent identification method of tea tree buds based on factor iteration

An intelligent identification and iterative technology, applied in the field of agriculture, can solve problems such as no sprouts and identification, and achieve the effects of good adaptability, high recognition rate, and short computing time

Active Publication Date: 2021-08-24
NANJING FORESTRY UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the current research on shoot identification is relatively rich, there is no algorithm that can effectively identify shoots.

Method used

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  • Intelligent identification method of tea tree buds based on factor iteration
  • Intelligent identification method of tea tree buds based on factor iteration
  • Intelligent identification method of tea tree buds based on factor iteration

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Experimental program
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Embodiment Construction

[0035] The invention will now be described in further detail with reference to the drawings.

[0036] like Figure 1 The fact that the factor-based iterative tea tree tender bud intelligence identification is a new shim bud identification method that can be divided into the budding of the budding. The specific implementation process is as follows:

[0037] First, color image collection.

[0038] The color image includes not only a new shimout, but also the old leaves, soil and other complex backgrounds, such as figure 2 Indicated.

[0039] Second, set three components of R, G, and B.

[0040] Three components of R, g, and b jointly considers that there is a linear relationship between the G and B components, between B and R components, between R and G components: K 1 * G + K 2 * B + K 3 * R> t.

[0041] Third, K 1 K 2 K 3 And the value range of T four parameters.

[0042] The value of the three components of each pixel point is within the range of [0,255], thereby determining K 1 K...

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Abstract

The intelligent identification method of tea tree buds based on factor iteration includes the following steps: color image acquisition; setting R, G, B three component relational expressions; selecting the value range of parameters; parameter iteration step setting; parameters meeting the conditions Evaluation standard setting; iterative area selection; iterative calculation; determination of color factors; image segmentation of the original tea tree image; area filtering. The present invention can separate tender shoots from complex backgrounds very well, and the proposed color factor has been shown through a large number of experiments to have strong versatility for tea leaves of different varieties and regions, and has a good effect on changes in light intensity. The adaptability of the sprout recognition algorithm of the present invention has obvious superiority compared with other people's research methods in the early stage, the recognition rate is high, and the operation time is short.

Description

Technical field [0001] The present invention belongs to the field of agricultural technology, and it is specifically related to factor iterative tea tree bud intelligent identification methods, which is a method of identifying tea tree buds under natural background. Background technique [0002] Producing a famous green tea is very particular to the selected buds, so there is currently no exception to the artificial pick, the labor intensity of artificial tea is high, the work is low, and the picking does not seriously affect the quality and tea tree under the tea tree. The growth of a new cold shift, the problem of being famous, the brown tea, the problem, has become a reality of sustainable development of the famous green tea. Therefore, tea gardens need a high work efficiency and achieving smart tea picking machines. Among them, the intelligent identification of tender buds is a key technique for tea robots. [0003] From the 1970s, the application of computer vision in agricu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46
CPCG06V20/10G06V10/267G06V10/56
Inventor 陈勇郝淼
Owner NANJING FORESTRY UNIV