Plant recognition method based on deep learning and plant classification

A technology of deep learning and recognition method, which is applied in the field of plant recognition, can solve problems such as artificial deviation and affecting recognition performance, and achieve the effect of alleviating the problem of over-fitting and improving the accuracy of recognition

Active Publication Date: 2019-06-11
NANJING FORESTRY UNIV
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Problems solved by technology

However, the former often introduces artificial bias, and the latter has a certain degree of overfitting problem, which affects the recognition performance.

Method used

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  • Plant recognition method based on deep learning and plant classification
  • Plant recognition method based on deep learning and plant classification
  • Plant recognition method based on deep learning and plant classification

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[0030] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0031] A plant identification method based on deep learning and plant taxonomy, comprising the following steps:

[0032] Step 1, collect sample plant images and plant images to be identified, and the collection method can be obtained by shooting with any device with a camera. After the collection is completed, establish a plant image database, and mark the collected sample plant images according to family, genus, and species according to plant taxonomy. It should be ...

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Abstract

The invention discloses a plant recognition method based on deep learning and plant taxonomy. The sample plant image is marked by the subject, the genus and the species; the sample plant image is input into a deep convolutional neural network for training. And the loss function are set as the weighted sum of the cross entropy loss of the subject, the genus and the type of tags, the weight of the neural network is updated through a random gradient descent algorithm, the training concludes after the deep convolutional neural network converges, and the weight of each layer without changing is fixed to obtain the trained deep convolutional neural network. According to the invention, deep learning is combined with plant taxonomy, and a subject label is introduced as a learning target, so that the recognition accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of plant identification, in particular to a plant identification method based on deep learning and plant taxonomy. Background technique [0002] Generally speaking, there are two types of methods in the field of image recognition. One is the recognition method based on traditional machine learning, which is characterized by the fact that the feature extraction method is generally manually defined; Convolutional Neural Network Automatic Extraction. However, the former often introduces artificial bias, and the latter has a certain degree of overfitting problem, which affects the recognition performance. [0003] The existing patent CN201810030151.X discloses a plant species identification method and device, which obtains pictures of at least two of the three parts of the flower, leaves and the whole plant of the plant to be identified as pictures to be identified; The saved multiple recognition models respec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06K9/00
Inventor 朱悠翔业宁李若尘张政王香
Owner NANJING FORESTRY UNIV
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