A method for detecting, diagnosing and discriminating regional pests and diseases based on wavelet analysis
A technology of wavelet analysis and discrimination method, which is applied in the field of remote sensing analysis of forest disease and insect pest data, and can solve problems such as the weakening of Populus euphratica.
Active Publication Date: 2019-05-03
贾翔
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] The present invention provides a method for detecting, diagnosing, and discriminating regional diseases and insect pests based on wavelet analysis, which overcomes the deficiencies of the prior art, and can effectively solve the problem that the growth of Populus euphratica gradually weakens due to the lack of an effective detection, diagnosis, and discrimination method for the existing Populus euphratica. question
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0071] The present invention is not limited by the following examples, and specific implementation methods can be determined according to the technical solutions of the present invention and actual conditions.
[0072] Below in conjunction with embodiment and accompanying drawing, the present invention will be further described:
[0073] as attached figure 1 , 2 , 3, 4, 5, 6, 7, 8, and 9, the method for detecting, diagnosing, and discriminating regional pests and diseases based on wavelet analysis includes the following steps:
[0074] The first step is to obtain the experimental data of the Populus euphratica pest, and to extract and analyze the experimental data, and then enter the second step;
[0075] In the second step, the wavelet transform is used to conduct a preliminary analysis of the sampled data, and then enter the third step;
[0076] The third step is to define and construct the NDVI time spectrum curve, and then enter the fourth step;
[0077] The fourth ste...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to the technical field of data remote sensing analysis, and relates to a regional pest detection diagnosis judging method based on wavelet analysis. The method includes the first step of acquiring test data of euphrates poplar pest damage, and performing the sampling analysis; the second step of performing preliminary analysis on the sampling data by the wavelet transform; the third step of defining and structuring a HDVI time spectrum curve; the fourth step of filtering noise of the HDVI time spectrum curve; the fifth step of performing enhancement and separation analysis on euphrates poplar pest damage; the sixth step of setting up a signal detection model of the euphrates poplar leaf-eating pest; the seventh step of dynamically detecting the detected pest signal in real time. Based on the principle of remote sensing and monitoring of forest pest damage and the physical foundation, the euphrates poplar NDVI time spectrum curve containing the pest information is defined and structured by means of NDVI time sequence data; thus the evolution speciality and rule of NDVI along with time change are acquired; the method can effectively monitor the plant growth and pest damage, and avoid euphrates poplar growth weak gradually.
Description
technical field [0001] The invention relates to the technical field of remote sensing analysis of forestry pest data, and relates to a method for detecting, diagnosing, and discriminating regional pests based on wavelet analysis. Background technique [0002] Populus euphratica is a desert riparian forest that grows in humid conditions such as river banks and lakes. Its unique physiological structure enables it to survive in the harsh environment of saline-alkali, sandstorm and drought. It is a near-top natural arbor community in arid desert areas. It is an important part of the desert ecosystem and plays an important ecological function in maintaining the ecological balance of the desert area, preventing wind and sand fixation, regulating the climate, and improving the ecological environment. However, in recent years, due to artificial excessive water diversion and climate change, the living environment of Populus euphratica has deteriorated, its growth has gradually weaken...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/15
CPCG06F17/15
Inventor 贾翔陈孟禹黄铁成来风兵陈蜀江吴焱
Owner 贾翔