CN109406517A - A kind of pest diagnosis system of agricultural greenhouse - Google Patents
A kind of pest diagnosis system of agricultural greenhouse Download PDFInfo
- Publication number
- CN109406517A CN109406517A CN201811328837.3A CN201811328837A CN109406517A CN 109406517 A CN109406517 A CN 109406517A CN 201811328837 A CN201811328837 A CN 201811328837A CN 109406517 A CN109406517 A CN 109406517A
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- China
- Prior art keywords
- controlling terminal
- pest
- photographic device
- greenhouse
- information
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Links
- 241000607479 Yersinia pestis Species 0.000 title claims abstract description 34
- 238000003745 diagnosis Methods 0.000 title claims abstract description 21
- 201000010099 disease Diseases 0.000 claims abstract description 21
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 7
- 230000005540 biological transmission Effects 0.000 claims abstract description 4
- 239000000575 pesticide Substances 0.000 claims description 6
- 238000005507 spraying Methods 0.000 claims description 5
- 230000010365 information processing Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 8
- 238000013461 design Methods 0.000 description 3
- 230000002265 prevention Effects 0.000 description 3
- 230000003321 amplification Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 238000010191 image analysis Methods 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 244000062793 Sorghum vulgare Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000010413 gardening Methods 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 235000019713 millet Nutrition 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
Classifications
-
- 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
- G01N21/84—Systems specially adapted for particular applications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M7/00—Special adaptations or arrangements of liquid-spraying apparatus for purposes covered by this subclass
- A01M7/0089—Regulating or controlling systems
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
-
- 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
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
Landscapes
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Immunology (AREA)
- Insects & Arthropods (AREA)
- General Health & Medical Sciences (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- Pest Control & Pesticides (AREA)
- Wood Science & Technology (AREA)
- Zoology (AREA)
- Environmental Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Catching Or Destruction (AREA)
Abstract
The invention discloses a kind of pest diagnosis systems of agricultural greenhouse.It includes the photographic device being arranged in greenhouse and the controlling terminal that remote monitoring center is arranged in, it is provided with information process unit in controlling terminal and stores the sample database of pest and disease damage sample, wireless communication module is provided in photographic device and controlling terminal, photographic device and controlling terminal can carry out information transmission by wireless network, acquired image information can be transferred in controlling terminal by photographic device, and the image information of acquisition can be compared the result for obtaining pest and disease damage by information process unit with the sample information in sample database.After adopting the above structure, directly pass through photographic device based on computer vision recognition technology to the Image Acquisition of crop, pest and disease damage result is directly obtained after the image information of acquisition is compared with the sample of sample database, scene is no longer needed to carry out real-time diagnosis examination, labour is saved, labor intensity is reduced and result diagnosis is accurate.
Description
Technical field
The present invention relates to a kind of agricultural greenhouse intelligence planting technology, specifically a kind of pest diagnosis of agricultural greenhouse
System.
Background technique
During present agricultural planting, generallys use greenhouse in order to improve yield and extension harvest time and planted, it is existing
Some greenhouse gardenings generally use the mode of labor management, thus not only low efficiency, large labor intensity, and exist supervision less than
The problem of position, so that planting benefit is limited to, although having gradually appeared the intelligent management system of some greenhouses later, so
And the detection for mainly temperature, humidity and soil parameters etc. the essential informations being directed to, it can not really realize wisdom pipe
Reason, for the prevention and treatment of pest and disease damage, it is difficult to which the existing management system of application carries out the prevention and control of plant diseases, pest control, is usually all to need
It manually to go to scene to be checked and carry out corresponding Prevention technology, so that labour labor intensity is still very big.
Summary of the invention
The technical problem to be solved in the present invention is to provide one kind to carry out remote monitoring and diagnosis to pest and disease damage, to reduce
The pest diagnosis system of the agricultural greenhouse of labor intensity.
In order to solve the above-mentioned technical problem, the pest diagnosis system of agricultural greenhouse of the invention, including be arranged in greenhouse
Photographic device for carrying out image information collecting to crop in greenhouse and the controlling terminal of remote monitoring center is set,
It is provided with information process unit in controlling terminal and stores the sample database of pest and disease damage sample, photographic device and controlling terminal
It is inside provided with wireless communication module, photographic device and controlling terminal can carry out information transmission, camera shooting dress by wireless network
Setting can be transferred to acquired image information in controlling terminal, and information process unit can be by the image information and sample of acquisition
Sample information in database is compared the result for obtaining pest and disease damage.
The photographic device is the intelligent video camera head and/or unmanned plane being mounted in greenhouse.
The controlling terminal is host computer.
Control chip is provided in the host computer, the information process unit setting is on control chip.
Pesticide spraying system is provided in the greenhouse, the pesticide spraying system connection has the control of wireless communication module
Device processed, the controller can carry out telecommunication by wireless network and the control chip of controlling terminal.
The wireless network is WIFI network or 3G, 4G wireless network.
After above-mentioned structure, due to the photographic device being arranged in greenhouse and having for remote monitoring center is set
The controlling terminal of information process unit and sample database, it is possible thereby to directly be based on Computer Vision Recognition by photographic device
The Image Acquisition of crop is compared in the image information of acquisition by technology (image analysis technology) with the sample of sample database
After directly obtain pest and disease damage as a result, thus no longer need scene carry out real-time diagnosis examination, save labour, reduce labor
It is accurate that fatigue resistance and result diagnose.
Detailed description of the invention
Fig. 1 is the functional block diagram of the pest diagnosis system of agricultural greenhouse of the present invention.
Specific embodiment
With reference to the accompanying drawings and detailed description, the pest diagnosis system of agricultural greenhouse of the invention is made further
It is described in detail.
As shown, the pest diagnosis system of agricultural greenhouse of the invention, including being arranged in greenhouse for greenhouse
Interior crop carries out the photographic device of image information collecting and the controlling terminal of remote monitoring center is arranged in, described camera shooting dress
It is set to the intelligent video camera head cradle head camera of millet (360 or) being mounted in greenhouse, which can pass through control eventually
End carries out control and carries out 360 degree of carry out Image Acquisition without dead angle, certainly in use can be by adjusting amplification factor
Image Acquisition is carried out to crop, such as when carrying out Image Acquisition to crop leaf, can amplification factor understand shooting leaf
Texture image, or Image Acquisition is carried out to the fruit of crop, it can understand the image for shooting fruit, it is entire big to realize
The Image Acquisition of canopy, design has multiple photographic devices naturally, can have extensive covering surface, setting in controlling terminal
There is information process unit and store the sample database of pest and disease damage sample, wherein controlling terminal is host computer, certainly must not
Can less including attaching operation the typing component, such as mouse, keyboard etc. that are connected on host computer, also just seldom say here
It is bright, control chip (existing PC machine) is necessarily provided in host computer, information process unit setting is on control chip, sample
The database being arranged in database host computer is stored with various pest and disease damage samples in sample database, each hard
As long as the connection of part is attached according to corresponding interface, complicated circuit is not designed still further, so designed that this
Very low, wireless communication module is provided in photographic device and controlling terminal, and (market purchase obtains, itself has wireless telecommunications mould
Block or unit), photographic device and controlling terminal can carry out information transmission by wireless network, and wireless network is WIFI network
Or acquired image information can be transferred in controlling terminal by 3G, 4G wireless network, photographic device, information process unit energy
Enough image informations by acquisition are compared the result for obtaining pest and disease damage with the sample information in sample database.
In addition, photographic device can also be replaced with to unmanned plane other than above-mentioned Basic Design, certain unmanned plane necessarily has
There is wireless communication module, thus has the operating system of control unmanned plane can by the design of unmanned plane in certain host computer
To be arbitrarily acquired as needed to data, flexibility is improved for intelligent camera, it is of course also possible to simultaneously
Intelligent video camera head and unmanned plane are set, unmanned plane as auxiliary device, fill a vacancy by the leakage detection for being conducive to comprehensive pest and disease damage examination at this time,
In addition, since there are sample databases, and crop diseases and pest is many kinds of, complicated symptoms are changeable, single more shapes of disease, and more diseases are same
Shape, therefore new pest and disease damage specimen types can be added to number according to the actual conditions of pest and disease damage and according to the progress of science and technology
According in library, being utilized at this time based on computer vision recognition technology (image analysis technology), the diagnosis of crops expert disease pest is imitated
Analysis mode, formed it is comprehensive differentiate and diagnosis system, adapted to new development need, furthermore, pesticide is provided in greenhouse
Sprinkling system, pesticide spraying system connection have the controller of wireless communication module, and controller can pass through wireless network and control
The control chip of terminal processed carries out telecommunication, realizes assisting in preventing and treating operation.
Claims (6)
1. the pest diagnosis system of a kind of agricultural greenhouse, including being arranged in greenhouse for carrying out image letter to crop in greenhouse
It ceases the photographic device of acquisition and the controlling terminal of remote monitoring center is set, be provided with information processing in the controlling terminal
Unit and the sample database for storing pest and disease damage sample, are provided with wireless telecommunications mould in the photographic device and controlling terminal
Block, the photographic device and controlling terminal can carry out information transmission by wireless network, and the photographic device can will acquire
To image information be transferred in controlling terminal, the information process unit can be by the image information and sample database of acquisition
Interior sample information is compared the result for obtaining pest and disease damage.
2. the pest diagnosis system of agricultural greenhouse described in accordance with the claim 1, it is characterised in that: the photographic device is peace
Intelligent video camera head and/or unmanned plane in greenhouse.
3. the pest diagnosis system of agricultural greenhouse according to claim 1 or 2, it is characterised in that: the controlling terminal
For host computer.
4. the pest diagnosis system of agricultural greenhouse described in accordance with the claim 3, it is characterised in that: set in the host computer
It is equipped with control chip, the information process unit setting is on control chip.
5. the pest diagnosis system of agricultural greenhouse according to claim 4, it is characterised in that: be provided in the greenhouse
Pesticide spraying system, the pesticide spraying system connection have the controller of wireless communication module, and the controller can pass through
Wireless network and the control chip of controlling terminal carry out telecommunication.
6. according to the pest diagnosis system of agricultural greenhouse described in one of claim 1-5, it is characterised in that: the wireless network
Network is WIFI network or 3G, 4G wireless network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811328837.3A CN109406517A (en) | 2018-11-09 | 2018-11-09 | A kind of pest diagnosis system of agricultural greenhouse |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811328837.3A CN109406517A (en) | 2018-11-09 | 2018-11-09 | A kind of pest diagnosis system of agricultural greenhouse |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109406517A true CN109406517A (en) | 2019-03-01 |
Family
ID=65472695
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811328837.3A Pending CN109406517A (en) | 2018-11-09 | 2018-11-09 | A kind of pest diagnosis system of agricultural greenhouse |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109406517A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110057834A (en) * | 2019-05-20 | 2019-07-26 | 天津工业大学 | A kind of agricultural greenhouse greenhouse damage detection device based on machine vision technique |
| CN110262364A (en) * | 2019-07-17 | 2019-09-20 | 李�浩 | A kind of agricultural planting environmental monitoring installation Internet-based |
| CN111866462A (en) * | 2020-07-22 | 2020-10-30 | 南京科沃云计算信息技术有限公司 | Low-altitude scanning pest and disease identification system and method based on aircraft |
| CN112034912A (en) * | 2020-09-03 | 2020-12-04 | 山东锋士信息技术有限公司 | Greenhouse crop disease control method based on real-time feedback |
| CN112417979A (en) * | 2020-10-27 | 2021-02-26 | 云南维吾保森林业科技有限公司 | System and method for monitoring field diseases and insect pests |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112034912A (en) * | 2020-09-03 | 2020-12-04 | 山东锋士信息技术有限公司 | Greenhouse crop disease control method based on real-time feedback |
| CN112417979A (en) * | 2020-10-27 | 2021-02-26 | 云南维吾保森林业科技有限公司 | System and method for monitoring field diseases and insect pests |
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