A vegetation planting area identification method and system based on a convolutional neural network algorithm

A convolutional neural network and area identification technology, applied in the field of vegetation planting area identification methods and systems, to achieve the effects of reducing labor costs, avoiding low efficiency, and improving efficiency and

Pending Publication Date: 2019-05-28
成都蝉远科技有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a method and system for identifying vegetation pl

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  • A vegetation planting area identification method and system based on a convolutional neural network algorithm
  • A vegetation planting area identification method and system based on a convolutional neural network algorithm
  • A vegetation planting area identification method and system based on a convolutional neural network algorithm

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Embodiment 1

[0157] Example 1. At the beginning of 2018, most areas of Qianwei County, Sichuan Province encountered a relatively severe drought, which had a negative impact on the production of rapeseed. Rapeseed agricultural insurance in some areas of Qianwei County is underwritten by the insurance company. There are 18 townships in the area covered by the insurance company, mainly located in the area east of the Minjiang River. In the stage of insurance claims, the degree of rapeseed production reduction is a key basis for claims. Accurately grasping the extent of the disaster, according to the conventional statistical method of rapeseed production, requires a lot of labor costs, and the statistical results are also affected by various uncertainties such as human interference, which weakens the reliability and accuracy of the results .

[0158] On March 26, the project team, together with colleagues from the third-level institutions and the staff of the township government, conducted a ...

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Abstract

The invention discloses a vegetation planting area identification method and system based on a convolutional neural network algorithm. The identification method comprises the following steps of preprocessing an acquired satellite image; identifying the preprocessed satellite image through a convolutional neural network model; and processing the identification result, and calculating by combining the identification result with GIS geographic information to obtain data information of the vegetation planting area. By analyzing and processing the satellite image, the distribution of the vegetationplanting area and the vegetation planting type can be identified, and the planting area can be calculated and counted, the efficiency and accuracy of vegetation planting area statistics are improved,the problems that manual statistics is low in efficiency and a traditional vegetation identification method is low in identification precision are avoided, and the labor cost is greatly reduced.

Description

technical field [0001] The invention relates to a vegetation planting area identification method and system, in particular to a vegetation planting area identification method and system based on a convolutional neural network algorithm. Background technique [0002] With the development of society, more and more people realize the importance of insurance. Most of the insurances are insured for themselves or their families; however, there are also some special insurance policies, such as insuring the output of their own crops, Guaranteed that if encountering natural disasters, the yield of crops (such as rapeseed) will drop sharply and cause great economic losses. [0003] When making compensation, the insurance company needs to measure the planting area and planting area of ​​a certain crop through the planting type of the crop to estimate the degree of crop loss to calculate the amount of compensation; the planting of crops is distributed on various types of terrain areas, ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08G06Q40/08G06Q50/02
Inventor 杨得铨
Owner 成都蝉远科技有限公司
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