Plant species identification method, system and device and storage medium

A recognition method, species technology, applied in the direction of neural learning method, character and pattern recognition, biological neural network model, etc., can solve problems such as wrong species recognition results, and achieve the effect of improving accuracy

Pending Publication Date: 2022-05-10
GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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This processing method may filter out some useful inform

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  • Plant species identification method, system and device and storage medium
  • Plant species identification method, system and device and storage medium
  • Plant species identification method, system and device and storage medium

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[0047] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0048] In the description of the present invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc. indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings, and are only In order to facilitate the description of the present invention and simplify the description, it does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific ...

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Abstract

The invention discloses a plant species identification method, system and device and a storage medium, and can be applied to the technical field of species identification. The method comprises the following steps: acquiring one-dimensional leaf hyperspectral reflectivity data; converting the one-dimensional leaf hyperspectral reflectivity data into a two-dimensional grayscale image; and inputting the two-dimensional grayscale image into a convolutional neural network model, and predicting to obtain a plant species identification result corresponding to the one-dimensional leaf hyperspectral reflectivity data. According to the method, after all the acquired one-dimensional leaf hyperspectral reflectivity data are converted into the two-dimensional gray level image, all the hyperspectral data are fully utilized, useful information is prevented from being omitted, then the two-dimensional gray level image is input into the convolutional neural network model, and plant species identification is carried out by utilizing the convolutional neural network model, so that plant species identification efficiency is improved. Therefore, the accuracy of a plant species identification result is improved.

Description

technical field [0001] The invention relates to the technical field of species identification, in particular to a plant species identification method, system, device and storage medium. Background technique [0002] In related technologies, plant species identification uses hyperspectral data for plant species identification. However, since there are many spectral bands in hyperspectral data, it needs to be processed by dimensionality reduction or band selection, and then machine learning is performed for species identification. This processing method may filter out some useful information, resulting in incorrect species identification results. Contents of the invention [0003] The present invention aims to solve at least one of the technical problems existing in the prior art. For this reason, the present invention proposes a plant species identification method, system, device and storage medium, which can improve the accuracy of plant species identification results. ...

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Application Information

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IPC IPC(8): G06V20/10G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 袁少雄黄光庆陈军王钧宫清华尹小玲
Owner GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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