Tea tree tender shoot intelligent identification method based on factor iteration

An intelligent identification and iterative technology, applied in the agricultural field, can solve the problems of identification and lack of buds, and achieve the effects of high identification rate, good adaptability and short computing time.

Active Publication Date: 2019-08-30
NANJING FORESTRY UNIV
View PDF27 Cites 1 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Tea tree tender shoot intelligent identification method based on factor iteration
  • Tea tree tender shoot intelligent identification method based on factor iteration
  • Tea tree tender shoot intelligent identification method based on factor iteration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The present invention is described in further detail now in conjunction with accompanying drawing.

[0036] Such as figure 1 The shown intelligent identification method for tea tree buds based on factor iteration is a method for identifying new shoots and buds that can separate buds from complex backgrounds. The specific implementation process is as follows:

[0037] 1. Color image acquisition.

[0038] Color images not only include new shoots and shoots, but also complex backgrounds such as old leaves and soil, such as figure 2 shown.

[0039] 2. Set R, G, B three component relational expressions.

[0040] Consider the three components of R, G, and B together, assuming that there is a linear relationship between the G and B components, between the B and R components, and between the R and G components: k 1 *G+k 2 *B+k 3 *R>T.

[0041] Three, k 1 、k 2 、k 3 And the value ranges of the four parameters of T are selected.

[0042] The values ​​of the R, G, and B...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a tea tree tender shoot intelligent identification method based on factor iteration. The tea tree tender shoot intelligent identification method comprises the following steps:collecting color images; setting three component relational expressions R, G and B; selecting a value range of parameters; setting a parameter iteration step length; setting an evaluation standard forparameters matching conditions; selecting an iteration area; performing iterative computation; determining a color factor; performing image segmentation on an original tea tree image; and performingarea filtering. According to the tea tree tender shoot intelligent identification method, the tender shoots can be well segmented from the complex background; a large number of experiments show that the color factor provided by the invention has stronger universality for tea leaves of different varieties and different regions, and meanwhile, has better adaptability for the change of illumination intensity; and the tender shoot recognition algorithm provided by the invention has obvious superiority, high recognition rate and short operation time compared with previous research methods of others.

Description

technical field [0001] The invention belongs to the technical field of agriculture, and in particular relates to an intelligent identification method for tea tree buds based on factor iteration, which is an identification method for tea tree buds in a natural background. Background technique [0002] The production of famous and high-quality green tea is very particular about the selected buds and leaves, so at home and abroad, without exception, it can only rely on manual picking. Manual tea picking is labor-intensive and low-efficiency. With the growth of new shoots, the difficulty of picking famous and high-quality green tea has become increasingly prominent, which has become a realistic problem restricting the sustainable development of famous and high-quality green tea. Therefore, tea gardens urgently need a tea-picking robot with high work efficiency and intelligent tea-picking. Among them, the intelligent identification of tender buds is a key technology of the tea p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46
CPCG06V20/10G06V10/267G06V10/56
Inventor 陈勇郝淼
Owner NANJING FORESTRY UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap