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Garden tree classification method

A classification method and a technology of fuzzy clustering method, applied in the field of tree classification, can solve the problems of complex classification method and large workload, and achieve the effect of reducing manual workload and clear and accurate classification.

Inactive Publication Date: 2009-01-14
盛秀英
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  • Abstract
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  • Application Information

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Problems solved by technology

[0003] In order to overcome the problems that the current garden tree classification method is complicated and the workload is large, the present invention provides a method for garden tree classification. For large-scale gardens, the method uses computers to realize the whole process of garden tree classification, and has the advantages of short processing time, Simple operation, small workload, clear and accurate classification, especially suitable for large-scale garden systems

Method used

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Embodiment Construction

[0009] The present invention will be described in further detail below in conjunction with specific embodiments, but not limited to specific examples.

[0010] According to the following methods, the trees in any mountain forest are classified. First count several basic characteristics of the trees (such as height, leaf length, width, petal length, width, etc.), and make a two-dimensional data table, so that each tree Corresponding to a vector, each element in the vector is the value of a basic feature corresponding to the tree. Then use the corresponding fuzzy classification technology to process these vector data. The well-known fuzzy C-means clustering method is usually used. The specific implementation process is as follows:

[0011] 1. Do cluster analysis on the sampled trees. Randomly select a part of the trees, apply the famous fuzzy C-means method to carry out cluster analysis (using the program package that comes with the MATLAB toolbox), and determine the number o...

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Abstract

The invention relates to a tree-classification method. The method for classifying garden trees includes the following steps: first, a portion of the trees are selected to determine the centre of every type by utilizing a fuzzy clustering method to cluster the selected trees; second, the classification process of the trees is realized by measuring the similarity between plants without being selected and the centre of every type by utilizing a method of vector distance. The tree classification method is characterized by short time duration of processing, simple operation, light working load, and clear and accurate classification, and is especially applicable to a garden system of large scale.

Description

1. Technical field: [0001] The invention relates to a classification method, in particular to a tree classification method. 2. Background technology: [0002] In terms of garden management, the commonly used methods for the classification of garden trees mainly include plant classification system, natural classification system and artificial classification method. These three methods are mainly based on human experience and subjective cognition. These methods have certain feasibility for small-scale gardens, but for large-scale garden systems, they have great complexity and huge workload. 3. Contents of the invention: [0003] In order to overcome the problems that the current garden tree classification method is complicated and the workload is large, the present invention provides a method for garden tree classification. For large-scale gardens, the method uses computers to realize the whole process of garden tree classification, and has the advantages of short processing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62A01G17/00A01G23/00
Inventor 盛秀英
Owner 盛秀英