Forest disease and pest monitoring and early warning method and system based on unmanned plane image analysis

A monitoring and early warning, image analysis technology, applied in image analysis, image data processing, computer components, etc., can solve the problems of insufficient monitoring of diseases and insect pests in forest areas and low accuracy

Active Publication Date: 2015-09-02
BEIJING FORESTRY UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the shortcomings of insufficient monitoring of existing forest pests and diseases

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  • Forest disease and pest monitoring and early warning method and system based on unmanned plane image analysis
  • Forest disease and pest monitoring and early warning method and system based on unmanned plane image analysis
  • Forest disease and pest monitoring and early warning method and system based on unmanned plane image analysis

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Embodiment Construction

[0087] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0088] The invention discloses a forest disease and insect pest monitoring and early warning method based on UAV image analysis. Firstly, the UAV is used to carry cameras, GPS receivers, GPS recorders and other equipment to capture images of designated forest areas, and then through the background system to The obtained images of the forest area are processed, compared and judged to finally determine the degree of pest damage in the forest area.

[0089] The G...

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Abstract

The invention discloses a forest disease and pest monitoring and early warning method based on unmanned plane image analysis. The method includes the steps of: S1: shooting a forest area image through a camera carried on an unmanned plane; S2: performing early-stage preprocessing on an image collected by an image collection unit, so as to improve image data and enhance image features; S3: performing image segmentation on the forest area image through an improved fuzzy C-mean algorithm to determine the position of a forest area in the image; S4: performing segmentation on the forest area image through a mark watershed algorithm based on a mixed template to determine the position of a pest plague area are in the image; and S5: on the basis of determining the position of the pest plague area, and in combination with ground survey data, grading the pest plague degree of the pest plague area. The forest disease and pest monitoring and early warning method uses the unmanned plane to carry the camera to shoot data such as pictures of the specified forest area, realizes functions of positioning of the disease and pest area of the forest area, disease and pest grading and early warning and the like, and can satisfy requirements of timely, comprehensive and efficient monitoring and early warning of a disease and pest situation of the forest area.

Description

technical field [0001] The invention relates to the technical field of forest protection and monitoring, in particular to an early warning method and system for monitoring the area and degree of forest diseases and insect pests. Background technique [0002] Forest pests and diseases have caused great harm to forest health and forestry production. The direct economic losses and indirect ecological benefit losses caused by forest diseases and insect pests in my country are heavy every year. very important. [0003] Traditional monitoring methods of forest diseases and insect pests mainly adopt fixed-point monitoring and random surveys in the forest or field, but this method usually consumes a lot of manpower, material resources and time, and the results obtained are difficult to fully grasp the disaster situation, often missing the best control time, resulting in huge losses. Comprehensive, accurate and rapid monitoring and management of forest pests and diseases must rely o...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62
Inventor 刘文萍骆有庆
Owner BEIJING FORESTRY UNIVERSITY
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