Spartina alterniflora identification and early warning method

A technology of Spartina alterniflora and identification accuracy, which is applied in the field of Spartina alterniflora identification and early warning to achieve the effect of accurate and reliable data support

Pending Publication Date: 2022-07-22
AGRI GENOMICS INST CHINESE ACADEMY OF AGRI SCI
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Problems solved by technology

[0003] In order to solve the problem of monitoring and early warning of scattered patches of Spartina alterniflora, the present inventio

Method used

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  • Spartina alterniflora identification and early warning method
  • Spartina alterniflora identification and early warning method
  • Spartina alterniflora identification and early warning method

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Embodiment Construction

[0027] The present invention will be further described below with reference to the accompanying drawings.

[0028] A method for identifying and early warning of Spartina alterniflora, comprising the following steps:

[0029] Step 1: Based on the drone platform, set the flight mode of the drone. The parameters are set as the flight height of the drone is 10 meters, the flight speed is 4.0m / s, the camera mode is set to take pictures at equal intervals, and the camera orientation is set at Parallel to the main route, the flight heading overlap rate is set to 60%, the side overlap rate is set to 60%, the gimbal pitch angle is set to -90°, the drone flight route is planned, and the automatic shooting mode is used. Based on the set image acquisition system, the images of Spartina alterniflora were collected in the field.

[0030] Step 2: Use photoscan software to stitch the original images of the test area collected in step 1 to generate an orthophoto image. Then use MATLAB softwa...

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Abstract

The invention relates to identification, monitoring and early warning of scattered plaque spartina alterniflora in four seasons of the year, in particular to a spartina alterniflora identification and early warning method, which comprises the following steps of: 1, building an acquisition platform, and acquiring a spartina alterniflora image; 2, splicing and segmenting the image; 3, making a training set, a verification set and a test set; and 4, selecting a mainstream convolutional neural network, and training, verifying and testing the model. 5, judging the recognition accuracy, and selecting the convolutional neural network meeting the conditions; 6, data of the four periods are trained respectively, and spatial distribution of the spartina alterniflora is carried out; 7, constructing a hazard grade evaluation model; 8, obtaining the diffusion distance of the spartina alterniflora; 9, acquiring biomass crop parameters of the spartina alterniflora; and 10, generating a spartina alterniflora early warning visual heat map. According to the method, accurate identification of the spartina alterniflora under the local scale is realized, the early warning visual heat map is generated, and data information is provided for early monitoring and prevention of the spartina alterniflora.

Description

technical field [0001] The invention relates to a method for identifying and early warning of Spartina alterniflora. Background technique [0002] Spartina alterniflora is produced in North America and has the advantages of fighting against wind and sand and protecting river banks. For the purpose of protecting beaches and shores, my country introduced the seedlings and seeds of Spartina alterniflora from the United States in 1979, and carried out trial planting experiments in Luoyuan Bay, Fujian Province, and then began to promote trial planting in coastal areas of my country. Spartina alterniflora expands its population through sexual and asexual reproduction. After years of proliferation, it has been widely distributed in the intertidal zone of China's coast, which has a serious impact on the structure and function of China's coastal wetland ecosystem. Due to the low resolution of current satellite remote sensing, it is difficult to monitor the scattered patches of Spart...

Claims

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Application Information

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IPC IPC(8): G06V20/17G06N3/04
CPCG06N3/045
Inventor 钱万强乔曦何艳洲覃锋李岩舟刘博刘聪辉
Owner AGRI GENOMICS INST CHINESE ACADEMY OF AGRI SCI
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