CN106342772A - Modern agricultural pest automatic monitoring and pre-warning method based on internet of things, cloud computing and big data - Google Patents
Modern agricultural pest automatic monitoring and pre-warning method based on internet of things, cloud computing and big data Download PDFInfo
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- 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
- A01M1/00—Stationary means for catching or killing insects
- A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
- A01M1/026—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects combined with devices for monitoring insect presence, e.g. termites
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- 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
- A01M1/00—Stationary means for catching or killing insects
- A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
- A01M1/04—Attracting insects by using illumination or colours
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- 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
- A01M1/00—Stationary means for catching or killing insects
- A01M1/22—Killing insects by electric means
- A01M1/223—Killing insects by electric means by using electrocution
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/4186—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication by protocol, e.g. MAP, TOP
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- G—PHYSICS
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- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
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Abstract
The invention discloses a modern agricultural pest automatic monitoring and pre-warning method based on the internet of things, cloud computing and big data. The system comprises a cloud server, a smart phone and a plurality of pest trapping lamps. Each pest trapping lamp comprises a rainproof cover, an LED lamp body, a pest collecting device and a two-layer densified high-voltage power grid, wherein the rainproof cover is arranged above the LED lamp body, the pest collecting device is arranged below the LED lamp body, and the two-layer densified high-voltage power grid is arranged on the periphery of the LED lamp body. Each pest trapping lamp further comprises a pest counting unit, a fan and a pest collecting bag. Each pest counting unit comprises a wireless communication module, a GPS positioning module, a controller, a constant-voltage source, an analog-digital conversion unit, N+1 metal wires, N series resistors with the same resistance, and a divider resistor. N is larger than or equal to 4. The two ends of the N series resistors with the same resistance are connected with the two output ends of the constant-voltage source after being connected with the divider resistor in series. Conditions of pests of various farmlands can be precisely known through the smart phone.
Description
The application is to be 2015-11-29 the applying date, Application No. 201510869589.3, invention entitled based on Internet of Things
The divisional application of the patent application of modern agriculture insect automatic monitoring and alarming system of net, cloud computing and big data.
Technical field
The present invention relates to a kind of agricultural pests early warning system.
Background technology
Modern agriculture is the combination of physical technique and agricultural production, be using the electricity with biological effect, sound, light,
The physical agents such as magnetic, heat, core manipulate vegeto-animal living environment and its growth promoter, promote traditional agriculture progressively to break away to chemistry
The dependence of the chemicals such as pesticide, chemical fertilizer, antibiotic and the constraint of natural environment, finally obtain high-quality, high yield, nontoxic agriculture
The environment conditioning type agricultural of product.
And agricultural Internet of Things is usually that substantial amounts of sensor node is constituted monitoring network, believed by various sensor acquisition
Breath, to help peasant to pinpoint the problems in time, and accurately determines the position of generation problem, so agricultural will be little by little from people
Centered on power, the production model of isolated machinery is depended on to turn to the production model centered on information and software, thus making in a large number
With various automatizatioies, intellectuality, remotely control production equipment.
China is large agricultural country, and the sound development of agricultural concerns national roots.In recent years, carrying with national life level
The requirement more and more higher of height, the quality for agricultural product for the consumer and safety.In agricultural production process, Pest control is agriculture
The important factor in order of crop quality, therefore, realizing is insect pest forecast forecast to the accurate acquisition of insect identification and quantity information
Primary work.Without correct sampling survey data, the extent of injury of the Number dynamics of insect, insect is impossible to
Accurately predicted, less be can guarantee that the correct execution of Economic Threshold of Injurious Insect Control.
Traditional insect identification with count main apply artificial cognition method, field investigation method, trap method etc., artificial cognition with
Factor seriously exists that discrimination is low, count accuracy is poor, field because field conditions are complicated, unstable etc. to count agricultural pestses
The shortcomings of task high labor intensive, non real-time nature, the method can not meet the monitoring that current agricultural pestses occur critical conditions
Require；Field investigation method takes, laborious, and the investigation of data, the link that records, report are many, and the workload of monitoring personnel is big, main
The impact of sight factor is big, the poor in timeliness of market demand, and the Accurate Prediction of impact insect forecasts it is impossible to meet produce reality demand.
Upper time-consuming, laborious in order to solve the problems, such as that insect identification, incremental data obtain, scientist constantly explores insect automatic identification and meter
The new technique of number.With the development of computer technology, microelectric technique etc., insect automatic identification and counting technology achieve very big
Progress, current insect automatic identification and counting technology mainly have acoustical signal, image technique, infrared sensor etc., these skills
The development of art improves insect automatic identification and the efficiency counting, and promotes the enforcement of precision agriculture, reduces insect and causes harm and brings
Loss, reduces environmental pollution, improves integrated pest management level.Although however, infrared counting method speed is fast, quilt can be recorded
Insect numbers of trapping, but weaker in pest species identification, and be easily subject to other to fall into thing and disturbed.Image processing method
Method is different due to field trapping pests attitude, there is difference and master sample between, and the morphological characteristic based on standard attitude is carried out
Classifier training, it is weak to be easily caused grader generalization ability, and meanwhile, during actual Field Pests are traped automatically, insect is individual
Between can there is the phenomenons such as adhesion, be unfavorable for identification and the quantity statistics of insect.
In sum, we, in the urgent need to finding a kind of method effectively automatically obtaining insect dynamic quantity, obtain evil
Worm body size, quantity, it is entrapped the multi-source information such as constantly, to reach the effect of mutual supplement with each other's advantages, improve worm monitoring and prediction
Accuracy of the forecast and ageing, mitigates the labor intensity of basic unit plant protection personnel and improves efficiency.Guarantee to provide the user reliability
Evidence for prevention and cure, for precision agriculture enforcement provide technical support.
It is intended to automatically monitor agricultural pestses situation based on technology of Internet of things by the present invention described above, and by each agriculture
The insect data of field collection is analyzed comparing, and finally really realizes Aulomatizeted Detect, the mesh of automatization's early warning of agricultural pestses
's.
Content of the invention
It is an object of the invention to provide one is monitored automatically based on the modern agriculture insect of Internet of Things, cloud computing and big data
Early warning system, realizes the real-time monitoring of agricultural pestses dynamic quantity, and agriculture is reminded in the then comparison according to each agricultural pestses quantity
Field director sprays insecticide in the farmland serious to number of pest in time.
In order to reach object above, the technical solution used in the present invention is: based on showing of Internet of Things, cloud computing and big data
For agricultural pests automatic monitoring and alarming system, including Cloud Server, smart mobile phone and multiple trap lamp；
Described trap lamp includes rain-proof cover, LED lamp body, connects worm device, double layer encryption high-voltage fence；Rain-proof cover is arranged at
The top of LED lamp body, connects the lower section that worm device is arranged at LED lamp body, and double layer encryption high-voltage fence is arranged at LED lamp body periphery；
Described trap lamp also includes insect counting unit, fan, insect inoculation bag；Described insect counting unit includes radio communication mold
Block, gps locating module, controller, constant pressure source, AD conversion unit, n+1 tinsel, the series resistance of n similar resistance,
Blast resistance；n≧4；
Total resistance of the series resistance of n similar resistance is equal to the resistance of divider resistance, and the voltage of constant pressure source is less than or equal to
5v；
Two ends after the series resistance of n similar resistance and divider resistance series connection connect two outfans of constant pressure source；
The input of AD conversion unit connects the two ends of divider resistance；Digital signal is input to controller by AD conversion unit；No
Line communication module, gps locating module are electrically connected with the controller respectively；N+1 tinsel is equidistantly arranged in parallel, each tinsel
One end connect common node between two adjacent resistors respectively, adjacent wire is located at the two ends of same series resistance；
Controller controls startup and the stopping of fan；The described worm device that connects is in funnel-form, and n+1 tinsel is horizontally placed on and connects worm dress
At the lower port put；On the side wall of the bottom connecing worm device, multiple fresh air inlets are set, it is attached that fan is arranged at described fresh air inlet
Closely；Insect outlet, the described position of insect outlet setting and institute are arranged on the side wall of the bottom connecing worm device simultaneously
The position of the fresh air inlet stated is corresponding；It is provided with insect inoculation bag in insect outlet；
If the distance between adjacent wire is d millimeter, constant pressure source output voltage is u millivolt；The resistance of divider resistance is r
Ohm, the resistance of series resistance is r ohm, and the physical length of insect is x millimeter；If the output in AD conversion unit a certain moment
Voltage is y millivolt；Then may determine that this moment falls length x >=(u/ (y/r)-r)/r*d of the insect on tinsel；
Multiple trap lamps are respectively arranged at multiple farmlands；The controller of each trap lamp passes through wireless communication module and cloud
Server communication；Controller reads the data of gps locating module, then passes through wireless communication module by the quantity of insect, insect
Sized data and the positional information in farmland upload to Cloud Server；Described Cloud Server is communicated with smart mobile phone.
Further, described controller adopts valiant imperial 820 realizations of high pass.
Further, described fan adopts the voltage-controlled mini-fan of 5v.
Further, described constant pressure source output voltage is 5v, n=10, and the resistance of resistance is 10 ohm；Cloud Server adopts
Ali's Cloud Server, smart mobile phone adopts iphone6s；Wireless communication module adopts 3g wireless communication module.
A kind of automatic monitoring and pre-alarming method of modern agriculture insect based on Internet of Things, cloud computing and big data, including cloud clothes
Business device, smart mobile phone and multiple trap lamp；
Described trap lamp includes rain-proof cover, LED lamp body, connects worm device, double layer encryption high-voltage fence；Rain-proof cover is arranged at
The top of LED lamp body, connects the lower section that worm device is arranged at LED lamp body, and double layer encryption high-voltage fence is arranged at LED lamp body periphery；
Described trap lamp also includes insect counting unit, fan, insect inoculation bag；Described insect counting unit includes radio communication mold
Block, gps locating module, controller, constant pressure source, AD conversion unit, n+1 tinsel, the series resistance of n similar resistance,
Blast resistance；n≧4；
Total resistance of the series resistance of n similar resistance is equal to the resistance of divider resistance, and the voltage of constant pressure source is less than or equal to
5v；
Two ends after the series resistance of n similar resistance and divider resistance series connection connect two outfans of constant pressure source；
The input of AD conversion unit connects the two ends of divider resistance；Digital signal is input to controller by AD conversion unit；No
Line communication module, gps locating module are electrically connected with the controller respectively；N+1 tinsel is equidistantly arranged in parallel, each tinsel
One end connect common node between two adjacent resistors respectively, adjacent wire is located at the two ends of same series resistance；
Controller controls startup and the stopping of fan；The described worm device that connects is in funnel-form, and n+1 tinsel is horizontally placed on and connects worm dress
At the lower port put；On the side wall of the bottom connecing worm device, multiple fresh air inlets are set, it is attached that fan is arranged at described fresh air inlet
Closely；Insect outlet, the described position of insect outlet setting and institute are arranged on the side wall of the bottom connecing worm device simultaneously
The position of the fresh air inlet stated is corresponding；It is provided with insect inoculation bag in insect outlet；
If the distance between adjacent wire is d millimeter, constant pressure source output voltage is u millivolt；The resistance of divider resistance is r
Ohm, the resistance of series resistance is r ohm, and the physical length of insect is x millimeter；If the output in AD conversion unit a certain moment
Voltage is y millivolt；Then may determine that this moment falls length x >=(u/ (y/r)-r)/r*d of the insect on tinsel；
If y > u*r/ (n*r+r), controller control statistics insect variable add 1, otherwise statistics insect variable not
Plus 1；
Multiple trap lamps are respectively arranged at multiple farmlands；The controller of each trap lamp passes through wireless communication module and cloud
Server communication；Controller reads the data of gps locating module, then passes through wireless communication module by the quantity of insect, insect
Sized data and the positional information in farmland upload to Cloud Server；Described Cloud Server is communicated with smart mobile phone.
Compared with prior art, the invention has the beneficial effects as follows: first, the present invention can be with the accurate calculation unit interval
Then the number of pest of trapping in each farmland unit interval is compared by the insect number of interior trapping, reminds farmland in time
Director sprays insecticide；Second, the present invention can substantially count the build of insect and big insect in the unit interval, little insect
Ratio quantity, is that the spray insecticide dosage of employing of farmland provides sufficient data and supports；3rd, the present invention is based on Internet of Things skill
Art, adopt Cloud Server, be truly realized the real-time monitoring of agricultural pestses dynamic quantity, compared for insect by data analysiss
Preventing and treating provides feasible method in time.
Brief description
Fig. 1 is the structural representation of trap lamp in the present invention；
Fig. 2 is the principle schematic of insect counting unit；
Fig. 3 is the position relationship schematic diagram connecing between worm device and insect counting unit.
Fig. 4 is the system principle block diagram of the present invention.
1 is rain-proof cover；2 is LED lamp body；3 is to connect worm device；5 is the tinsel of insect counting unit intermediate reach arrangement；
6 is insect inoculation bag.
Specific embodiment
Below in conjunction with the accompanying drawings, the invention will be further described, but it is not represented as unique embodiment of the present invention.
Embodiment: the modern agriculture insect automatic monitoring and alarming system based on Internet of Things, cloud computing and big data, including cloud
Server, smart mobile phone and 20 trap lamps；Trap lamp includes rain-proof cover, LED lamp body, connects worm device, double layer encryption high-tension electricity
Net；Rain-proof cover is arranged at the top of LED lamp body, connects the lower section that worm device is arranged at LED lamp body, and double layer encryption high-voltage fence is arranged
In LED lamp body periphery；Described trap lamp also includes insect counting unit, fan, insect inoculation bag；Insect counting unit includes wirelessly
Communication module, gps locating module, controller, constant pressure source, AD conversion unit, 11 tinsels, the series connection of 10 similar resistance
Resistance, divider resistance；Two ends after the series resistance of 10 similar resistance and divider resistance series connection connect two of constant pressure source
Outfan；The input of AD conversion unit connects the two ends of divider resistance；Digital signal is input to control by AD conversion unit
Device processed；Wireless communication module, gps locating module are electrically connected with the controller respectively；11 tinsels are equidistantly arranged in parallel, each
One end wiry connects the common node between two adjacent resistors respectively, and adjacent wire is located at same series resistance
Two ends；Controller controls startup and the stopping of fan；Connecing worm device is in funnel-form, and 11 tinsels are horizontally placed on and connect worm device
Lower port at；On the side wall of the bottom connecing worm device, multiple fresh air inlets are set, fan is arranged near described fresh air inlet；
Insect outlet arranged on the side wall of the bottom connecing worm device simultaneously, the described position of insect outlet setting with described
The position of fresh air inlet is corresponding；It is provided with insect inoculation bag in insect outlet；
If the distance between adjacent wire is 3 millimeters, constant pressure source output voltage is 5v；The resistance of series resistance is 10 Europe
Nurse, the resistance value of divider resistance is 100 ohm, and the physical length of insect is x millimeter；
If the output voltage in AD conversion unit a certain moment is 2.5v；So may determine that this moment falls tinsel
On insect length x >=(5/ (2.5/100) -100)/10*3=30 millimeter；
The controller of each trap lamp is communicated with Cloud Server by wireless communication module；Controller reads gps positioning
The data of module, then passes through wireless communication module by the positional information of the quantity of insect, the sized data of insect and farmland
Upload to Cloud Server；Cloud Server is communicated with smart mobile phone.
Wherein, described controller adopts valiant imperial 820 realizations of high pass；Fan adopts the voltage-controlled mini-fan of 5v；Institute
The constant pressure source output voltage stated is 5v, and the resistance of resistance is 10 ohm；Cloud Server adopts Ali's Cloud Server, and smart mobile phone is adopted
Use iphone6s；Wireless communication module adopts 3g wireless communication module.
Described double layer encryption high-voltage fence, its outer layer electrical network is arranged (for example using the sparse electrical network gap in interval
0.8cm), its internal layer electrical network is using electrical network gap arrangement (such as 0.4cm) of interval comparatively dense；And double layer encryption electrical network adopts
Are-tight Coating Materials, double male screw coilings are realized, sealike colour 0.6mm, and the parallel distance of inside and outside two-layer electrical network is 1cm.Lure worm
Lamp high voltage electric net adopts double layer encryption electrical network, and insect is subject to the attraction of insect attraction light source to touch high-voltage fence and be dead by electric shock；
Because insecticidal lamp high voltage electric net of the present invention adopts inside and outside bilayer, outer layer arrangement is sparse, and internal layer arrangement is tight, even if micro pest
Can evade outer layer electrical network impairment it is also difficult to continuously avoid the obstruction of internal layer electrical network in the distance of 1cm, therefore avoid by
Small and pass through, from electrical network gap, the phenomenon that is not caught in insect build.
Operation principle referring to Fig. 1-4 couple of present invention is described: once insect is fallen by phase above tinsel
Series resistance short circuit between adjacent two tinsels, due to circuit use constant pressure source and similar resistance series resistance, point
Piezoresistance is connected, so the magnitude of voltage of AD conversion unit input is linear change, by the output of AD conversion unit
The change of voltage can be easy to have calculated several series resistances and be shorted, if non-synchronization has 3 series resistance quilts
Short circuit is it can be determined that there are 3 insects；If being carved with 2 series resistances when same to be shorted it can be determined that being that an insect is same
When by the short circuit of 2 series resistances it can be determined that the build of this insect is larger, due to the distance between adjacent wire it is known that example
As 3mm, may determine that when a series resistance is shorted the build of this insect is more than 3mm, if synchronization has two strings
Connection resistance is shorted and may determine that the build of this insect is more than 6mm；At interval of a period of time (such as 2s), controller controls fan
Start, insect is blown to inside insect inoculation bag；According to conventional experiment experience, two insects drop on tinsel synchronization simultaneously
Probability almost nil, therefore the present invention can precisely be counted to insect and the statistics to insect substantially body size
Judge.
Can be with the position in each farmland of precise positioning by gps locating module, the number of pest detecting is believed by controller
The more specific location information in breath and this farmland uploads to Cloud Server, and Cloud Server is relatively divided by each agricultural pestses data
Analysis, can show which agricultural pests is serious needs to spray insecticide, and which agricultural pests is less, then analysis result is sent to intelligence
Can mobile phone.
Claims (4)
1. a kind of automatic monitoring and pre-alarming method of modern agriculture insect based on Internet of Things, cloud computing and big data it is characterised in that
Including Cloud Server, smart mobile phone and multiple trap lamp；
Described trap lamp includes rain-proof cover, LED lamp body, connects worm device, double layer encryption high-voltage fence；Rain-proof cover is arranged at led
The top of lamp body, connects the lower section that worm device is arranged at LED lamp body, and double layer encryption high-voltage fence is arranged at LED lamp body periphery；Described
Trap lamp also include insect counting unit, fan, insect inoculation bag；Described insect counting unit includes wireless communication module, gps
Locating module, controller, constant pressure source, AD conversion unit, n+1 tinsel, the series resistance of n similar resistance, blast electricity
Resistance；n≧4；
Total resistance of the series resistance of n similar resistance is equal to the resistance of divider resistance, and the voltage of constant pressure source is less than or equal to 5v；
Two ends after the series resistance of n similar resistance and divider resistance series connection connect two outfans of constant pressure source；Modulus
The input of converting unit connects the two ends of divider resistance；Digital signal is input to controller by AD conversion unit；Channel radio
Letter module, gps locating module are electrically connected with the controller respectively；N+1 tinsel is equidistantly arranged in parallel, and each wiry one
End connects the common node between two adjacent resistors respectively, and adjacent wire is located at the two ends of same series resistance；Control
Device controls startup and the stopping of fan；The described worm device that connects is in funnel-form, and n+1 tinsel is horizontally placed on and connects worm device
At lower port；On the side wall of the bottom connecing worm device, multiple fresh air inlets are set, fan is arranged near described fresh air inlet；Connect
Insect outlet is arranged on the side wall of the bottom of worm device simultaneously, the position of described insect outlet setting is entered with described
The position of air holes is corresponding；It is provided with insect inoculation bag in insect outlet；
If the distance between adjacent wire is d millimeter, constant pressure source output voltage is u millivolt；The resistance of divider resistance is r Europe
Nurse, the resistance of series resistance is r ohm, and the physical length of insect is x millimeter；If the output electricity in AD conversion unit a certain moment
Press as y millivolt；Then may determine that this moment falls length x >=(u/ (y/r)-r)/r*d of the insect on tinsel；
If y > u*r/ (n*r+r), controller control statistics insect variable add 1, otherwise statistics insect variable be not added with 1；
Multiple trap lamps are respectively arranged at multiple farmlands；The controller of each trap lamp passes through wireless communication module and cloud service
Device communicates；Controller reads the data of gps locating module, then passes through wireless communication module by the chi of the quantity of insect, insect
The positional information in very little data and farmland uploads to Cloud Server；Described Cloud Server is communicated with smart mobile phone.
2. the automatic monitoring and warning of modern agriculture insect based on Internet of Things, cloud computing and big data according to claim 1
System is it is characterised in that described controller adopts valiant imperial 820 realizations of high pass.
3. the automatic monitoring and warning of modern agriculture insect based on Internet of Things, cloud computing and big data according to claim 1
System is it is characterised in that described fan adopts the voltage-controlled mini-fan of 5v.
4. the automatic monitoring and warning of modern agriculture insect based on Internet of Things, cloud computing and big data according to claim 1
System it is characterised in that described constant pressure source output voltage is 5v, n=10, the resistance of resistance is 10 ohm；Cloud Server is adopted
Use Ali's Cloud Server, smart mobile phone adopts iphone6s；Wireless communication module adopts 3g wireless communication module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610704766.7A CN106342772A (en) | 2015-11-29 | 2015-11-29 | Modern agricultural pest automatic monitoring and pre-warning method based on internet of things, cloud computing and big data |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510869589.3A CN105334834A (en) | 2015-11-29 | 2015-11-29 | Modern agriculture insect automatic monitoring and early warning system based on internet of things, cloud computing and big data |
| CN201610704766.7A CN106342772A (en) | 2015-11-29 | 2015-11-29 | Modern agricultural pest automatic monitoring and pre-warning method based on internet of things, cloud computing and big data |
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| CN201510869589.3A Division CN105334834A (en) | 2015-11-29 | 2015-11-29 | Modern agriculture insect automatic monitoring and early warning system based on internet of things, cloud computing and big data |
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| CN201610704766.7A Withdrawn CN106342772A (en) | 2015-11-29 | 2015-11-29 | Modern agricultural pest automatic monitoring and pre-warning method based on internet of things, cloud computing and big data |
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| CN201510869589.3A Withdrawn CN105334834A (en) | 2015-11-29 | 2015-11-29 | Modern agriculture insect automatic monitoring and early warning system based on internet of things, cloud computing and big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109717173A (en) * | 2019-01-31 | 2019-05-07 | 中国疾病预防控制中心传染病预防控制所 | Auto spraying mosquito killing system |
| CN110663657A (en) * | 2019-10-29 | 2020-01-10 | 河南汇纳科技有限公司 | Crop pest intelligent monitoring and early warning system based on Internet of things |
| CN114740162A (en) * | 2022-04-22 | 2022-07-12 | 徐玉龙 | Investigation experimental facilities of plant pest climbing cycle for conventional fruit tree research |
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| CN105794751A (en) * | 2016-03-28 | 2016-07-27 | 南京农业大学 | Real-time-counting pest-killing lamp |
| CN106135159A (en) * | 2016-06-08 | 2016-11-23 | 韩立 | A kind of self adaptation insect-catching system based on LED |
| CN106254820A (en) * | 2016-07-22 | 2016-12-21 | 北京小米移动软件有限公司 | The method and device of biological treating |
| CN108007497A (en) * | 2017-10-31 | 2018-05-08 | 四川农业大学 | A kind of remote monitoring type pest control monitors multifunctional intellectual plant protection device |
| CN107977750A (en) * | 2017-12-08 | 2018-05-01 | 四川瑞进特科技有限公司 | A kind of trapping lamp user terminal and supply of material end interactive cloud management system |
-
2015
- 2015-11-29 CN CN201510869589.3A patent/CN105334834A/en not_active Withdrawn
- 2015-11-29 CN CN201610704766.7A patent/CN106342772A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109717173A (en) * | 2019-01-31 | 2019-05-07 | 中国疾病预防控制中心传染病预防控制所 | Auto spraying mosquito killing system |
| CN109717173B (en) * | 2019-01-31 | 2024-03-01 | 中国疾病预防控制中心传染病预防控制所 | Automatic spraying mosquito eradication system for disease medium aedes |
| CN110663657A (en) * | 2019-10-29 | 2020-01-10 | 河南汇纳科技有限公司 | Crop pest intelligent monitoring and early warning system based on Internet of things |
| CN114740162A (en) * | 2022-04-22 | 2022-07-12 | 徐玉龙 | Investigation experimental facilities of plant pest climbing cycle for conventional fruit tree research |
| CN114740162B (en) * | 2022-04-22 | 2023-08-22 | 徐玉龙 | Investigation experimental facility for plant pest climbing period for conventional fruit tree research |
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| CN105334834A (en) | 2016-02-17 |
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