CN109142236A - The withered masson pine identifying system of infection pine nematode based on high score satellite image - Google Patents
The withered masson pine identifying system of infection pine nematode based on high score satellite image Download PDFInfo
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- CN109142236A CN109142236A CN201811070108.2A CN201811070108A CN109142236A CN 109142236 A CN109142236 A CN 109142236A CN 201811070108 A CN201811070108 A CN 201811070108A CN 109142236 A CN109142236 A CN 109142236A
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- pine
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- nematode
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- masson pine
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
Abstract
The invention discloses a kind of withered masson pine identifying systems of the infection pine nematode based on high score satellite image, including masson pine pine nematode acquisition module, analysis module and masson pine pine nematode disaster alarm module, masson pine pine nematode acquisition module is electrically connected with analysis module, masson pine pine nematode disaster alarm module realizes carrier communication.The present invention acquires the real time spectrum data of environmental data, masson pine by masson pine pine nematode acquisition module, and acquisition data are transferred to analysis module, is analyzed by analysis module, judges incubation period and the plague grade of pine nematode;Masson pine pine nematode disaster alarm module is used for the analysis result according to analysis module, accurately and timely issue pest and disease damage the condition of a disaster early warning, and analysis result is fed back into user terminal, process is simple, promptly and accurately can carry out masson pine pine nematode monitoring and warning to target area.
Description
Technical field
The present invention relates to field of software development, in particular to a kind of infection pine nematode based on high score satellite image is withered
Dead masson pine identifying system.
Background technique
Chinese forest pest and disease damage shares more than 8000 kinds, and often result in harm has more than 200 kinds, forest disease and pest large area hair
It is raw, it endangers extremely serious.Early warning is carried out to pest and disease damage, is that disease and pest control spreads on a large scale, safeguards Forest Health and hold
The important content of supervention exhibition.Pine nematode (Pine Wilt Disease) is also known as pine tree wilt disease or pine wilt disease, in
Confirmation in 1971 is the pine tree withered death as caused by Bursaphelenchus xylophilus (Bursaphelenchus xylophilus).The disease is main
Parasitic pine genus plant, spread in china are exceedingly fast, once morbidity will cause extremely serious loss, existing more than 40 countries are classified as
Quarantine object.China finds the disease in the Nanjing Zhongshan Tomb from nineteen eighty-two for the first time, spread to Jiangsu, Zhejiang, Anhui, Shandong,
The some areas in 113 counties in the provinces such as Hubei, Guangdong, Jiangxi, Chongqing, Guizhou and Taiwan and Hong Kong cause economy of forestry,
The serious destruction of massive losses and natural landscape on forest ecology, and seriously threaten famous scenic spot and main indigenous tree horse
The safety of tail pine and Mount Huang masson pine.
Investigation is sampled to masson pine, obtains masson pine disease currently, also being rested on to monitoring masson pine pine nematode
For information about, this monitoring means real-time is low, accuracy is poor for insect pest, cannot timely and effectively reflect masson pine Bursaphelenchus xylophilus
The problem of disease.
Summary of the invention
In view of the above-mentioned problems existing in the prior art, the present invention provides a kind of infection pine line based on high score satellite image
The withered masson pine identifying system of parasitosis.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is that:
The withered masson pine identifying system of a kind of infection pine nematode based on high score satellite image, wherein including horse hair
Loose pine nematode acquisition module, analysis module and masson pine pine nematode disaster alarm module, the masson pine pine line
Parasitosis acquisition module is electrically connected with analysis module, masson pine pine nematode disaster alarm module realizes carrier communication.
Preferably, the withered masson pine identifying system of the infection pine nematode based on high score satellite image,
In, the masson pine pine nematode acquisition module includes environmental data collecting module, satellite image module and data transmission mould
Block;The satellite image module is used to record the real time spectrum data of masson pine.
Preferably, the withered masson pine identifying system of the infection pine nematode based on high score satellite image,
In, the environmental data collecting module is used to detect the environmental parameter of masson pine and environmental parameter is passed to data transmission mould
Block.
Preferably, the withered masson pine identifying system of the infection pine nematode based on high score satellite image,
In, the analysis module includes spectroscopic data receiving module and nematodiasis prediction module;The spectroscopic data receiving module passes through
Wireless transmission receives the data of the masson pine pine nematode acquisition module;The nematodiasis prediction module supervises the satellite
It surveys spectral index and causes harm with masson pine pine nematode and the preset spectral index of sign occurs be compared, obtain the difference of the two
Value, if the difference less than 0, determines that pine nematode will not occur, if the difference be greater than 0, issue warning signal to
The masson pine pine nematode disaster alarm module.
Preferably, the withered masson pine identifying system of the infection pine nematode based on high score satellite image,
In, the masson pine pine nematode disaster alarm module is used for the analysis according to analysis module as a result, accurately and timely issuing
Pest and disease damage the condition of a disaster early warning.
Preferably, the withered masson pine identifying system of the infection pine nematode based on high score satellite image,
In, the nematodiasis prediction module is connected with masson pine pine nematode disaster alarm module.
Preferably, the withered masson pine identifying system of the infection pine nematode based on high score satellite image,
In, the masson pine pine nematode disaster alarm module feeds back to user terminal for result is analyzed.
The utility model has the advantages that
The present invention acquires the real time spectrum data of environmental data, masson pine by masson pine pine nematode acquisition module,
And acquisition data are transferred to analysis module, it is analyzed by analysis module, judge the incubation period of pine nematode and occur etc.
Grade;Masson pine pine nematode disaster alarm module is used for the analysis according to analysis module as a result, accurately and timely issuing disease pest
Evil the condition of a disaster early warning, and analysis result is fed back into user terminal, process is simple, promptly and accurately can carry out horse to target area
Tail pine pine nematode monitoring and warning.
Specific embodiment
Below with reference to specific embodiments of the present invention will be further explained.It should be noted that for these
The explanation of embodiment is used to help understand the present invention, but and does not constitute a limitation of the invention.In addition, sheet disclosed below
Invent technical characteristic involved in each embodiment can be combined with each other as long as they do not conflict with each other.
The present invention provides a kind of withered masson pine identifying system of the infection pine nematode based on high score satellite image, including
Masson pine pine nematode acquisition module, analysis module and masson pine pine nematode disaster alarm module, masson pine pine line
Parasitosis acquisition module is electrically connected with analysis module, masson pine pine nematode disaster alarm module realizes carrier communication.
As the another embodiment of this case, wherein masson pine pine nematode acquisition module include environmental data collecting module,
Satellite image module and data transmitting module;Satellite image module is used to record the real time spectrum data of masson pine.
As the another embodiment of this case, wherein environmental data collecting module is used to detect the environmental parameter of masson pine and will
Environmental parameter passes to data transmitting module.
As the another embodiment of this case, wherein analysis module includes spectroscopic data receiving module and nematodiasis prediction module;
Spectroscopic data receiving module receives the data of masson pine pine nematode acquisition module by wireless transmission;Nematodiasis prediction module
Satellite monitoring spectral index is caused harm with masson pine pine nematode and the preset spectral index of sign occurs is compared, is obtained
The difference of the two, if difference less than 0, determines that pine nematode will not occur, if difference be greater than 0, issue warning signal to
Masson pine pine nematode disaster alarm module.
As the another embodiment of this case, wherein masson pine pine nematode disaster alarm module is used for according to analysis module
Analysis as a result, accurately and timely issuing pest and disease damage the condition of a disaster early warning.
As the another embodiment of this case, wherein nematodiasis prediction module and masson pine pine nematode disaster alarm module
It is connected.
As the another embodiment of this case, wherein masson pine pine nematode disaster alarm module is fed back to result is analyzed
User terminal.
The embodiments of the present invention are described in detail in conjunction with the embodiments above, but the present invention is not limited to described realities
Apply mode.For a person skilled in the art, in the case where not departing from the principle of the invention and spirit, to these embodiment party
Formula carries out a variety of change, modification, replacement and modification, still falls in protection scope of the present invention.
Claims (7)
1. a kind of withered masson pine identifying system of infection pine nematode based on high score satellite image, which is characterized in that including
Masson pine pine nematode acquisition module, analysis module and masson pine pine nematode disaster alarm module, the horse hair is loosely
Material nematodiasis acquisition module is electrically connected with analysis module, masson pine pine nematode disaster alarm module realizes carrier communication.
2. the withered masson pine identifying system of the infection pine nematode according to claim 1 based on high score satellite image,
It is characterized in that, the masson pine pine nematode acquisition module includes environmental data collecting module, satellite image module sum number
According to delivery module;The satellite image module is used to record the real time spectrum data of masson pine.
3. the withered masson pine identifying system of the infection pine nematode according to claim 2 based on high score satellite image,
It is characterized in that, the environmental data collecting module is used to detect the environmental parameter of masson pine and environmental parameter is passed to data
Delivery module.
4. the withered masson pine identifying system of the infection pine nematode according to claim 1 based on high score satellite image,
It is characterized in that, the analysis module includes spectroscopic data receiving module and nematodiasis prediction module;The spectroscopic data receives
Module receives the data of the masson pine pine nematode acquisition module by wireless transmission;The nematodiasis prediction module is by institute
It states satellite monitoring spectral index and causes harm with masson pine pine nematode and the preset spectral index of sign occurs be compared, obtain
The difference of the two, if the difference is greater than 0, issues pre- if the difference less than 0, determines that pine nematode will not occur
Alert signal gives the masson pine pine nematode disaster alarm module.
5. the withered masson pine identifying system of the infection pine nematode according to claim 1 based on high score satellite image,
It is characterized in that, the masson pine pine nematode disaster alarm module be used for according to the analysis of analysis module as a result, it is accurate and
When issue pest and disease damage the condition of a disaster early warning.
6. the infection pine nematode according to claim 4 or 5 based on high score satellite image withered masson pine identification system
System, which is characterized in that the nematodiasis prediction module is connected with masson pine pine nematode disaster alarm module.
7. the withered masson pine identifying system of the infection pine nematode according to claim 6 based on high score satellite image,
It is characterized in that, the masson pine pine nematode disaster alarm module feeds back to user terminal for result is analyzed.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102507504A (en) * | 2011-10-25 | 2012-06-20 | 南京林业大学 | Hyperspectral monitoring method for pine wilt disease of masson pines |
CN102507453A (en) * | 2011-10-25 | 2012-06-20 | 南京林业大学 | Hyperspectral monitoring method of pine wood nematode disease of black pine |
CN103048276A (en) * | 2012-12-14 | 2013-04-17 | 北京农业信息技术研究中心 | Spectral index constructing method for detecting carbon nitrogen ratios of canopy leaves of crops |
CN205014981U (en) * | 2015-08-13 | 2016-02-03 | 安徽振坤科技有限公司 | Plant phenological observation system |
CN205581960U (en) * | 2016-04-20 | 2016-09-14 | 国家电网公司 | Natural disasters risk monitoring system based on satellite remote sensing image |
CN106033052A (en) * | 2015-03-13 | 2016-10-19 | 中国人民解放军沈阳军区司令部工程科研设计所 | A vegetation information extracting method based on hyperspectral data sensitive waveband |
WO2016183000A1 (en) * | 2015-05-12 | 2016-11-17 | BioSensing Systems, LLC | Apparatuses and methods for bio-sensing using unmanned aerial vehicles |
CN106777845A (en) * | 2017-03-22 | 2017-05-31 | 南京农业大学 | The method that sensitive parameter builds wheat leaf blade powdery mildew early monitoring model is extracted based on subwindow rearrangement method |
-
2018
- 2018-09-13 CN CN201811070108.2A patent/CN109142236A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102507504A (en) * | 2011-10-25 | 2012-06-20 | 南京林业大学 | Hyperspectral monitoring method for pine wilt disease of masson pines |
CN102507453A (en) * | 2011-10-25 | 2012-06-20 | 南京林业大学 | Hyperspectral monitoring method of pine wood nematode disease of black pine |
CN103048276A (en) * | 2012-12-14 | 2013-04-17 | 北京农业信息技术研究中心 | Spectral index constructing method for detecting carbon nitrogen ratios of canopy leaves of crops |
CN106033052A (en) * | 2015-03-13 | 2016-10-19 | 中国人民解放军沈阳军区司令部工程科研设计所 | A vegetation information extracting method based on hyperspectral data sensitive waveband |
WO2016183000A1 (en) * | 2015-05-12 | 2016-11-17 | BioSensing Systems, LLC | Apparatuses and methods for bio-sensing using unmanned aerial vehicles |
CN205014981U (en) * | 2015-08-13 | 2016-02-03 | 安徽振坤科技有限公司 | Plant phenological observation system |
CN205581960U (en) * | 2016-04-20 | 2016-09-14 | 国家电网公司 | Natural disasters risk monitoring system based on satellite remote sensing image |
CN106777845A (en) * | 2017-03-22 | 2017-05-31 | 南京农业大学 | The method that sensitive parameter builds wheat leaf blade powdery mildew early monitoring model is extracted based on subwindow rearrangement method |
Non-Patent Citations (3)
Title |
---|
SEUNG-HO LEE等: ""Detection of The Pine Trees Damaged by Pine Wilt Disease using High Resolution Satellite and Airborne Optical Imagery"", 《KOREAN JOURNAL OF REMOTE SENSING》 * |
刘丹丹: "《遥感数字图像处理》", 31 July 2016 * |
海涛: "《计算机网络通信技术》", 30 September 2015 * |
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Application publication date: 20190104 |