Automatic plant identification method and system

Abstract

The invention relates to an automatic plant identification method and system. Plant point cloud data of different types and different single bodies are obtained to built a training set for plant identification, shape feature vectors of plants are calculated, parameters of a plant identification algorithm and the possibility that the to-be-identified plant single bodies belong to the plant types are calculated on the basis of the shape feature vectors, and the type having the highest possibility is selected to serve as the type of the plants. The automatic plant identification method is simple in process, convenient to use and practical, improves work efficiency of automatic identification of the plants, reduces work quantity, and is suitable for classification identification work of a large number of plants.

Description

technical field [0001] The invention relates to plant classification technology, in particular to a plant automatic identification method and system. Background technique [0002] It is estimated that there are about 220,000 to 420,000 different types of plants on Earth. The classification and identification of plants is a huge and complicated task. Traditional plant identification methods mainly rely on corresponding botanists to use their own professional knowledge to conduct research and analysis on plant shapes, epidermis, leaves, etc. to confirm plant categories. , this manual classification method is inefficient, requires a lot of manpower, material resources and financial resources, and is extremely dependent on the professional knowledge of botanists. [0003] At present, there are also a small number of automatic classification methods based on plant leaf images to identify plants. In foreign countries, Guyer et al. extracted 17 features used to describe the shape...

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Problems solved by technology

[0005] Based on this, it is necessary to provide an efficient plant automatic identification method for the defects of heavy workload and low efficiency in the above-mentioned automatic plant identification method.

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