CN105872030A - System and method for detecting and reporting diseases and insect pests - Google Patents
System and method for detecting and reporting diseases and insect pests Download PDFInfo
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- CN105872030A CN105872030A CN201610180430.5A CN201610180430A CN105872030A CN 105872030 A CN105872030 A CN 105872030A CN 201610180430 A CN201610180430 A CN 201610180430A CN 105872030 A CN105872030 A CN 105872030A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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Abstract
The invention discloses a system and method for detecting and reporting diseases and insect pests. The system comprises an environmental data acquisition sub-system, an acquisition server, a central server and a client side; the environmental data acquisition sub-system is arranged in a field and used for acquiring environmental data of the field; the acquisition server is used for sending the environmental data and data of diseases and insect pests to the central server; the central server is used for storing the received environmental data and data of diseases and insect pests in a database, establishing a neural network model of historical environmental data and historical data of diseases and insect pests, and performing predication of diseases and insect pests; and the client side is used for receiving a predication result and adopting corresponding measures according to the predication result. According to the system and the method disclosed by the invention, the environmental data of the field is acquired through the environmental data acquisition sub-system; furthermore, the environmental data is processed; predication of diseases and insect pests is further carried out; therefore, users can know specific data of diseases and insect pests in time rapidly and conveniently; furthermore, the automatic degree is high; the predication precision is high; and thus, the system and the method are beneficial to popularization and use.
Description
Technical field
The present invention relates to disease insect pest situation observation field, be specifically related to a kind of disease pest feelings measuring and reporting system and side
Method.
Background technology
Disease pest feelings are to threaten the one of crops greatly now, when disease pest feelings especially severe, it will
Cause crops to be had no harvest, therefore, disease pest feelings to observe and predict of always agriculturist important
Job content.And current sick detecting and reporting pest information rely primarily on government issue average data and near
The experienced agriculturist in region, this mode automaticity is low, it was predicted that precision is low, and
It is unfavorable for promoting the use of.Also occur in that the growth of crops is set up mould by a lot of scientist
Type is not owing to needs carry out a large amount of statistical work for a long time, the least for concrete physiology
Planting and be modeled, be only a general model, this model is calculating the disease of concrete crops
During detecting and reporting pest information, its accuracy needs to be greatly improved.
Summary of the invention
Excessively general and current due to the current crop growth model concrete data of shortage
Sick detecting and reporting pest information mode automaticity is low, it was predicted that precision is low, and is unfavorable for promoting the use of, this
Invention proposes a kind of disease pest feelings measuring and reporting system and method.
First aspect, the present invention proposes a kind of disease pest feelings measuring and reporting system, including: environmental data is adopted
Subsystem, acquisition server, central server and client；
Described environmental data collecting subsystem is arranged at field, is connected with described acquisition server,
For gathering the environmental data in field and described environmental data being sent to described acquisition server；
Described acquisition server is connected with described central server, for the described environment that will receive
Data send to described central server, and with sheet format by the most sick for this season crop then
Insect pest situation data send to described central server；
Described central server is connected with described client, for the described environmental data that will receive
Preserve to data base, history of forming data with described disease pest feelings data, set up history environment data
With the neural network model of history disease pest feelings data, and according to currently received described environmental data
Carrying out disease pest feelings prediction, the transmission that will predict the outcome is to described client；
Described client, predicts the outcome for reception, and takes accordingly according to described predicting the outcome
Measure；
Wherein, described environmental data includes temperature, humidity, sunshine and wind-force.
Preferably, described environmental data collecting subsystem includes coordinator, routing node, terminal
Node and sensor；
Described sensor is arranged at field, is connected with described terminal node, for gathering field
Described environmental data is also sent to described terminal node by environmental data；
Described terminal node is located at Huo Bingpu district, acquisition zone, is connected with described routing node, is used for
The described environmental data received is sent to described routing node；
Described routing node is connected with described coordinator, for described environmental data is forwarded to institute
State coordinator；
Described coordinator is connected with described acquisition server, for the described environmental data received
Compute weighted, and operation result is sent to described acquisition server.
Preferably, described terminal node and described routing node use 2.4g common signal channel to carry out
Connect, and use z-stack protocol stack to communicate.
Preferably, described routing node and described coordinator use 2.4g common signal channel to carry out even
Connect, and use z-stack protocol stack to communicate.
Preferably, described coordinator is connected by serial ports with described acquisition server.
Second aspect, the present invention also proposes a kind of disease pest feelings Forecasting Method, including:
S1, environmental data collecting subsystem gather the environmental data in field, and by described environment number
According to sending to acquisition server；
The described environmental data received is sent to described center service by S2, described acquisition server
Device, and will this season crop real disease pest feelings data send to described center then with sheet format
Server；
The described environmental data received and described disease pest feelings data are protected by S3, described central server
Deposit to data base, history of forming data, set up history environment data and history disease pest feelings data
Neural network model, and carry out disease pest mutual affection analysis according to currently received described environmental data, will
Predict the outcome transmission to described client；
S4, described central server receive and predict the outcome, and take phase according to described predicting the outcome
Answer measure；
Wherein, described environmental data includes temperature, humidity, sunshine and wind-force.
Preferably, step S1 farther includes:
Described environmental data is also sent to described by S11, the environmental data in sensor acquisition field
Terminal node；
The described environmental data received is sent to routing node by S12, described terminal node；
Described environmental data is forwarded to coordinator by S13, described routing node；
The described environmental data received is computed weighted by S14, described coordinator, and will fortune
Calculate result to send to described acquisition server.
Preferably, step S12 farther includes:
Described terminal node uses 2.4g common signal channel to be sent extremely by the described environmental data received
Routing node, and use z-stack protocol stack to communicate.
Preferably, step S13 farther includes:
Described routing node uses 2.4g common signal channel that described environmental data is forwarded to coordinator,
And use z-stack protocol stack to communicate；
Preferably, step S14 farther includes:
Operation result is sent to described acquisition server by described coordinator by serial ports.
As shown from the above technical solution, the present invention gathers field by environmental data collecting subsystem
Environmental data, and by acquisition server and central server, environmental data is processed,
Carry out disease pest feelings prediction further, allow the user in time, understand disease pest quickly and easily
The concrete data of feelings, and the disease pest feelings measuring and reporting system of the present invention and method automaticity are high, in advance
Survey precision is high, is beneficial to promote the use of.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below
The accompanying drawing used required in embodiment or description of the prior art will be briefly described, aobvious and
Easily insight, the accompanying drawing in describing below is only some embodiments of the present invention, for this area
From the point of view of those of ordinary skill, on the premise of not paying creative work, it is also possible to according to these
Figure obtains other accompanying drawing.
The structural representation of a kind of disease pest feelings measuring and reporting system that Fig. 1 provides for one embodiment of the invention
Figure；
The flow process signal of a kind of disease pest feelings Forecasting Method that Fig. 2 provides for one embodiment of the invention
Figure；
The data acquisition of a kind of disease pest feelings Forecasting Method that Fig. 3 provides for one embodiment of the invention
The schematic flow sheet controlled；
The disease pest feelings of a kind of disease pest feelings Forecasting Method that Fig. 4 provides for one embodiment of the invention are surveyed
Count off is according to the schematic flow sheet processed；
The total system association of a kind of disease pest feelings Forecasting Method that Fig. 5 provides for one embodiment of the invention
Mapping.
Detailed description of the invention
Below in conjunction with the accompanying drawings, the detailed description of the invention of invention is further described.Hereinafter implement
Example is only used for clearly illustrating technical scheme, and can not limit this with this
Bright protection domain.
Fig. 1 shows a kind of disease pest feelings measuring and reporting system that the present embodiment provides, including: environment number
According to acquisition subsystem 11, acquisition server 12, central server 13 and client 14；
Described environmental data collecting subsystem 11 is arranged at field, with described acquisition server 12
Connect, for gathering the environmental data in field and described environmental data being sent to described collection clothes
Business device 12；
Wherein, described environmental data collecting subsystem 11 has many sets, each acquisition zone or sick garden
District respectively disposes a set of, and Huo Bingpu district, described acquisition zone is corresponding with pest and disease damage biological strain.
Described environmental data includes temperature, humidity, sunshine and wind-force, also includes other environment phase
Close data.
Described environmental data collecting subsystem 11 gathers the environmental data in field, and by described ring
Border data send to acquisition server 12, and described environmental data collecting subsystem 11 is adopted with described
After collection server 12 obtains described all kinds of environmental data at a time interval, it is temporarily stored in this locality,
After treating data acquisition on the one, the annual average of computing environment data.
Described acquisition server 12 is connected with described central server 13, for the institute that will receive
State environmental data to send to described central server, and with sheet format by true for this season crop then
Real disease pest feelings data send to described central server 13；
Average daily environmental data and acquisition zone are numbered in being sent to genuinely convinced by described acquisition server 12
Business device 13, described acquisition zone numbering represents different biological strains, and the true state of an illness in acquisition zone can
Central server 13 is submitted to by list.
Described central server 13 is connected with described client 14, for the described ring that will receive
Border data and described disease pest feelings data preserve to data base, history of forming data, set up history ring
Border data and the neural network model of history disease pest feelings data, and according to currently received described ring
Border data carry out disease pest feelings prediction, and the transmission that will predict the outcome is to described client 14；
Wherein, different biological strains can be modeled by neural network model according to field conditions data,
Model more accuracy and universality, be no longer a general model, but model group, if
If observing and predicting on a large scale, can be distributed according to biological strain, the prediction of each model in model group
Result is weighted, practical condition of more fitting.
It should be noted that described central server 13 can according to surveyed pest and disease damage modeling requirement,
As in 30 days day samming, average daily humidity, average daily sunshine etc., utilize intervalometer, control to gather
The time window of data, when described time window is opened, utilizes JAVA Socket to described
Acquisition server 12 assigns the instruction gathering environmental data, and described acquisition server 12 receives and refers to
After order, start intervalometer, in described time window, at regular intervals, as half is little
Time, assign environmental data collecting instruction, environment number to described environmental data collecting subsystem 11
After receiving instruction according to acquisition subsystem 11, start to gather described environmental data, and calculating
After every annual average, use JAVA HttpURLConnection class or other WebSocket skill
Average daily data are sent to described central server 13 by art.
Meanwhile, described central server 13 will receive described environmental data and add the time
Item forms a record, is stored in data base first data corresponding with described acquisition zone numbering
In table, central server 13 accesses data base with JDBC.
Described central server 13 is at the end of time window, by Socket to described collection
Server 12 assigns termination acquisition instructions, and it is backward described that described acquisition server 12 receives instruction
Environmental data collecting subsystem 11 assigns termination acquisition instructions, described environmental data collecting subsystem
After system 11 reception instruction, quit work.
Described central server 13 is after the time window of data acquisition is closed, according to neutral net
Model needs, is processed the record in the first tables of data, obtains modeling parameters, as monthly
Day samming, average daily humidity monthly, average daily sunshine etc. monthly, described modeling parameters, as
Article one, new record preserves to second tables of data corresponding with model, this fashion of described new record
Imperfect.
Described central server 13, according to the history environment data of acquisition zone and the history state of an illness, is set up
Neural network model, and according to the described modeling parameters of described acquisition zone, obtain corresponding biological strain
Disease pest feelings observe and predict result, and receive, at disease pest after date, the true state of an illness that acquisition server is submitted to
After list, the most incomplete new record described in amendment, fill in described in observe and predict result and the true state of an illness,
Improve the new record of described second tables of data, make described new record become historical record, for nerve
The training of network model provides sample.
Described central server 13 according to each acquisition zone one_to_one corresponding thus with biological strain one
The neural network model of one correspondence, the state of an illness of available each biological strain is observed and predicted result, and is passed through
The 3rd tables of data that have recorded crop producing region and biological strain preserved in data base, thus can be
Different Crop producing region provides the state of an illness to observe and predict, and the state of an illness is observed and predicted result and can be issued by dynamic page.
Described client 14, predicts the outcome for reception, and takes according to described predicting the outcome
Corresponding measure；
Described client can be divided into normal client end and policymaker's client according to user identity,
Browser client and cell-phone customer terminal can be divided into according to transmission means simultaneously.
Described browser client, if its location is not included in publishing region, can pass through table
Single described ambient parameter, biological strain type submitted to, thus the state of an illness obtaining user's customization is observed and predicted
Result；Browser client also can be distributed to described cell-phone customer terminal by mobile Internet, and
Actively push information to described decision-making client.
Described browser client, if correct environmental data cannot be obtained, it is possible to carried by list
Hand over location place name, biological strain type, after described central server receives place name, can pass through
Inquiring client terminal location, high in the clouds environmental information, the state of an illness obtaining user's customization observes and predicts result.
Described cell-phone customer terminal can download APK, submits described all kinds of parameter to, thus is used
The state of an illness of family customization observes and predicts result.
The present embodiment gathers the environmental data in field by environmental data collecting subsystem, and passes through
Environmental data is processed by acquisition server and central server, carries out disease pest feelings further pre-
Survey, allow the user in time, understand quickly and easily the concrete data of disease pest feelings, and this
The disease pest feelings measuring and reporting system of invention and method automaticity are high, it was predicted that precision is high, are beneficial to promote
Use.
As the alternative of the present embodiment, described environmental data collecting subsystem 11 includes association
Adjust device, routing node, terminal node and sensor, as it is shown in figure 1, wherein, routing node
With terminal node mainly as data transmission nodal, therefore it is not drawn into.
Described sensor is arranged at field, is connected with described terminal node, for gathering field
Described environmental data is also sent to described terminal node by environmental data；
Described terminal node is located at Huo Bingpu district, acquisition zone, is connected with described routing node, is used for
The described environmental data received is sent to described routing node；
Described routing node is connected with described coordinator, for described environmental data is forwarded to institute
State coordinator；
Described coordinator is connected with described acquisition server, for the described environmental data received
Compute weighted, and operation result is sent to described acquisition server.
Described terminal node, according to the field test method of sampling, such as five point sampling methods, controls described biography
Sensor is sampled；Described terminal node drive described sensor, can collecting temperature, humidity,
The field conditions data such as sunshine and wind-force.
Specifically, described terminal node and described routing node use 2.4g common signal channel to carry out
Connect, and use z-stack protocol stack to communicate；
Use 2.4g common signal channel to be attached, and use z-stack protocol stack to communicate,
Can constitute radio sensing network, the transmission for data is more convenient.
Further, described routing node and described coordinator use 2.4g common signal channel to carry out
Connect, and use z-stack protocol stack to communicate；
Further, described coordinator is connected by serial ports with described acquisition server 12.
Described acquisition server 12 may utilize JAVA HttpURLConnection class or other
WebSocket technology, sends described environmental data to described central server through the Internet
13, described acquisition server 12 connects the Internet and wireless sense network, in the present embodiment,
Described acquisition server 12 also can be considered gateway, and described center service 13 is WEB server.
Fig. 2 shows the schematic flow sheet of a kind of disease pest feelings Forecasting Method that the present embodiment provides,
Including:
S1, environmental data collecting subsystem gather the environmental data in field, and by described environment number
According to sending to acquisition server；
The described environmental data received is sent to described center service by S2, described acquisition server
Device, and will this season crop real disease pest feelings data send to described center then with sheet format
Server；
The described environmental data received and described disease pest feelings data are protected by S3, described central server
Deposit to data base, history of forming data, set up history environment data and history disease pest feelings data
Neural network model, and carry out disease pest mutual affection analysis according to currently received described environmental data, will
Predict the outcome transmission to described client；
S4, described central server receive and predict the outcome, and take phase according to described predicting the outcome
Answer measure；
Wherein, described environmental data includes temperature, humidity, sunshine and wind-force.
The present embodiment gathers the environmental data in field by environmental data collecting subsystem, and passes through
Environmental data is processed by acquisition server and central server, carries out disease pest feelings further pre-
Survey, allow the user in time, understand quickly and easily the concrete data of disease pest feelings, and this
The disease pest feelings measuring and reporting system of invention and method automaticity are high, it was predicted that precision is high, are beneficial to promote
Use.
As the alternative of the present embodiment, step S1 farther includes:
Described environmental data is also sent to described by S11, the environmental data in sensor acquisition field
Terminal node；
The described environmental data received is sent to routing node by S12, described terminal node；
Described environmental data is forwarded to coordinator by S13, described routing node；
The described environmental data received is computed weighted by S14, described coordinator, and will fortune
Calculate result to send to described acquisition server.
Further, step S12 includes:
Described terminal node uses 2.4g common signal channel to be sent extremely by the described environmental data received
Routing node, and use z-stack protocol stack to communicate.
Further, step S13 includes:
Described routing node uses 2.4g common signal channel that described environmental data is forwarded to coordinator,
And use z-stack protocol stack to communicate；
Further, step S14 includes:
Operation result is sent to described acquisition server by described coordinator by serial ports.
Fig. 3 shows the data acquisition control of a kind of disease pest feelings Forecasting Method that the present embodiment provides
The schematic flow sheet of system, according to gathering the time limit, gathers the data of every day, and after calculating annual average
Send server to.
Fig. 4 shows the schematic flow sheet that the sick detecting and reporting pest information data that the present embodiment provides process,
User customizes the flow process of local pestforecasting result, and browser client can pass through form customization
Observing and predicting result, cell-phone customer terminal can observe and predict result by Android APP customization.
Fig. 5 shows the total system collaboration diagram of the disease pest feelings Forecasting Method that the present embodiment provides, by
Central server starts timer (arranging the epicycle data acquisition time limit), is given by Socket
Acquisition server assigns acquisition instructions；Acquisition server is under timer control, at certain intervals,
Assigning acquisition instructions by serial ports to acquisition system, wherein, described acquisition system is environment number
According to acquisition subsystem；Acquisition system is sent to acquisition server to gathering after data process,
Wherein, acquisition system can be weighted average treatment to gathering data；Acquisition server calculates day
Data are uploaded by HttpURLConnection to central server, if time-out is (i.e. after average
The epicycle data acquisition time limit ends), then assign halt instruction by Socket to acquisition server,
Acquisition server assigns halt instruction by serial ports to acquisition system further, and described center
Server by utilizing Neural Network model predictive, and predict the outcome to client issue.Treat that this takes turns disease
After insect pest truly occurs, acquisition server submits the true state of an illness by list to central server,
Central server updates modeling data according to the true state of an illness received, thus ensures that precision of prediction is not
Disconnected raising.
The present embodiment is integrated with sensor network technology for gathering environmental data, data transmission skill
Art is used for transmitting data and instruction, and neural net model establishing technology is used for analysis environments data to disease pest
Feelings are observed and predicted, and WEB technology and mobile interchange technology observe and predict result in order to issue, cloud
For customizing pestforecasting result.Can collect in time, effectively, in detail, multizone believe
Cease and set up the neural network model of environmental data and disease pest feelings, and carry out disease pest according to this model
Feelings are predicted, it is achieved low cost, and automaticity is high, it was predicted that precision is high, actual production feelings of fitting
Condition, scope of observing and predicting is big, and it is various that information issues means, covers crowd wide, can meet various people
Demand to sick detecting and reporting pest information.
In the description of the present invention, illustrate a large amount of detail.It is to be appreciated, however, that this
Inventive embodiment can be put into practice in the case of not having these details.At some examples
In, it is not shown specifically known method, structure and technology, in order to not fuzzy to this specification
Understanding.
Claims (10)
1. a disease pest feelings measuring and reporting system, it is characterised in that including: environmental data collecting
System, acquisition server, central server and client；
Described environmental data collecting subsystem is arranged at field, is connected with described acquisition server,
For gathering the environmental data in field and described environmental data being sent to described acquisition server；
Described acquisition server is connected with described central server, for the described environment that will receive
Data send to described central server, and with sheet format by the most sick for this season crop then
Insect pest situation data send to described central server；
Described central server is connected with described client, for the described environmental data that will receive
Preserve to data base, history of forming data with described disease pest feelings data, set up history environment data
With the neural network model of history disease pest feelings data, and according to currently received described environmental data
Carrying out disease pest feelings prediction, the transmission that will predict the outcome is to described client；
Described client, predicts the outcome for reception, and takes accordingly according to described predicting the outcome
Measure；
Wherein, described environmental data includes temperature, humidity, sunshine and wind-force.
System the most according to claim 1, it is characterised in that described environmental data is adopted
Subsystem includes coordinator, routing node, terminal node and sensor；
Described sensor is arranged at field, is connected with described terminal node, for gathering field
Described environmental data is also sent to described terminal node by environmental data；
Described terminal node is located at Huo Bingpu district, acquisition zone, is connected with described routing node, is used for
The described environmental data received is sent to described routing node；
Described routing node is connected with described coordinator, for described environmental data is forwarded to institute
State coordinator；
Described coordinator is connected with described acquisition server, for the described environmental data received
Compute weighted, and operation result is sent to described acquisition server.
System the most according to claim 2, it is characterised in that described terminal node with
Described routing node uses 2.4g common signal channel to be attached, and uses z-stack protocol stack to enter
Row communication.
System the most according to claim 3, it is characterised in that described routing node with
Described coordinator uses 2.4g common signal channel to be attached, and uses z-stack protocol stack to carry out
Communication.
System the most according to claim 4, it is characterised in that described coordinator and institute
State acquisition server to be connected by serial ports.
6. a disease pest feelings Forecasting Method, it is characterised in that including:
S1, environmental data collecting subsystem gather the environmental data in field, and by described environment number
According to sending to acquisition server；
The described environmental data received is sent to described center service by S2, described acquisition server
Device, and will this season crop real disease pest feelings data send to described center then with sheet format
Server；
The described environmental data received and described disease pest feelings data are protected by S3, described central server
Deposit to data base, history of forming data, set up history environment data and history disease pest feelings data
Neural network model, and carry out disease pest mutual affection analysis according to currently received described environmental data, will
Predict the outcome transmission to described client；
S4, described central server receive and predict the outcome, and take phase according to described predicting the outcome
Answer measure；
Wherein, described environmental data includes temperature, humidity, sunshine and wind-force.
Method the most according to claim 6, it is characterised in that step S1 is wrapped further
Include:
Described environmental data is also sent to described by S11, the environmental data in sensor acquisition field
Terminal node；
The described environmental data received is sent to routing node by S12, described terminal node；
Described environmental data is forwarded to coordinator by S13, described routing node；
The described environmental data received is computed weighted by S14, described coordinator, and will fortune
Calculate result to send to described acquisition server.
Method the most according to claim 7, it is characterised in that step S12 is further
Including:
Described terminal node uses 2.4g common signal channel to be sent extremely by the described environmental data received
Routing node, and use z-stack protocol stack to communicate.
Method the most according to claim 8, it is characterised in that step S13 is further
Including:
Described routing node uses 2.4g common signal channel that described environmental data is forwarded to coordinator,
And use z-stack protocol stack to communicate.
Method the most according to claim 9, it is characterised in that step S14 is further
Including:
Operation result is sent to described acquisition server by described coordinator by serial ports.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610180430.5A CN105872030A (en) | 2016-03-25 | 2016-03-25 | System and method for detecting and reporting diseases and insect pests |
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| CN201610180430.5A CN105872030A (en) | 2016-03-25 | 2016-03-25 | System and method for detecting and reporting diseases and insect pests |
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| CN107316105A (en) * | 2017-06-09 | 2017-11-03 | 湖南省农业信息与工程研究所 | A kind of big regional agriculture forecasting system |
| CN107832895A (en) * | 2017-11-27 | 2018-03-23 | 四川瑞进特科技有限公司 | Crops disease forecast method |
| CN108197794A (en) * | 2017-12-27 | 2018-06-22 | 深圳春沐源控股有限公司 | A kind of pest and disease damage risk Prediction System and method |
| CN108244071A (en) * | 2017-12-29 | 2018-07-06 | 广州铁路职业技术学院 | Insect pest situation forecasting system |
| KR20180085109A (en) * | 2017-01-17 | 2018-07-26 | 한국전자통신연구원 | Method and system for predicting damage from disease and harmful insects related to meteorology based on ICT |
| CN109407626A (en) * | 2018-09-03 | 2019-03-01 | 湖北省科技信息研究院 | Agricultural Information intelligence cloud service platform, intelligent farm and Agricultural Information intelligence system |
| CN110519984A (en) * | 2017-04-12 | 2019-11-29 | 拜耳股份公司 | Utilize the pest control system of the value addition of intelligence learning |
| CN111612236A (en) * | 2020-05-14 | 2020-09-01 | 中电工业互联网有限公司 | Insect situation real-time analysis and prediction method, system and storage medium |
| CN111818146A (en) * | 2020-07-01 | 2020-10-23 | 深圳市中深农创科技有限公司 | SOA cloud computing intelligent agricultural data processing method and system |
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| CN110519984B (en) * | 2017-04-12 | 2022-05-27 | 拜耳股份公司 | Pest control system with value addition for intelligent learning |
| CN107316105B (en) * | 2017-06-09 | 2020-12-04 | 湖南省农业信息与工程研究所 | Large-area agricultural prediction system |
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| CN107832895A (en) * | 2017-11-27 | 2018-03-23 | 四川瑞进特科技有限公司 | Crops disease forecast method |
| CN108197794A (en) * | 2017-12-27 | 2018-06-22 | 深圳春沐源控股有限公司 | A kind of pest and disease damage risk Prediction System and method |
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| CN111818146A (en) * | 2020-07-01 | 2020-10-23 | 深圳市中深农创科技有限公司 | SOA cloud computing intelligent agricultural data processing method and system |
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