CN106686054A - Service system of using strategy model to solve plantation problem - Google Patents
Service system of using strategy model to solve plantation problem Download PDFInfo
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- CN106686054A CN106686054A CN201611025984.4A CN201611025984A CN106686054A CN 106686054 A CN106686054 A CN 106686054A CN 201611025984 A CN201611025984 A CN 201611025984A CN 106686054 A CN106686054 A CN 106686054A
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- 230000003068 static effect Effects 0.000 claims description 19
- 230000035558 fertility Effects 0.000 claims description 9
- 239000003337 fertilizer Substances 0.000 claims description 5
- 239000003905 agrochemical Substances 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 3
- 239000002689 soil Substances 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 241000607479 Yersinia pestis Species 0.000 claims description 2
- 201000010099 disease Diseases 0.000 claims description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 2
- 230000000361 pesticidal effect Effects 0.000 claims description 2
- 238000009313 farming Methods 0.000 claims 2
- 238000009472 formulation Methods 0.000 claims 1
- 239000000203 mixture Substances 0.000 claims 1
- 239000002881 soil fertilizer Substances 0.000 claims 1
- 230000000875 corresponding effect Effects 0.000 description 6
- 238000003745 diagnosis Methods 0.000 description 5
- 230000001276 controlling effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- 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
A service system of using a strategy model to solve a plantation problem comprises a client, a remote storage calculating system, a database and a scheme output terminal. The database is connected to the remote storage calculating system. The database comprises a variety subbase. Crop variety information is stored in the variety subbase. The client is used for receiving plantation condition information input by a user and a plantation strategy selected by the user and sending the plantation condition information input by the user and the plantation strategy selected by the user to the remote storage calculating system. The remote storage calculating system generates a corresponding strategy model according to the plantation strategy selected by the user and the plantation condition information. Through the strategy model, calculation is performed. A crop type with a maximum benefit under the current plantation condition and the plantation strategy is selected from the database. Through the scheme output terminal, the selected crop type is output. In the invention, the crop type with the maximum benefit under the current plantation condition and the plantation strategy is provided for the user and guidance is provided for the user to select the crop type.
Description
Technical field
The application is related to agricultural planting service system field, and especially a kind of Policy model solves the problems, such as the service system of plantation
System.
Background technology
With the development of technology of Internet of things, the range of application of Internet of Things is also more extensive, agricultural planting and management etc.
Field is also gradually introducing technology of Internet of things.
The Chinese patent application of Application No. 201510145740.9 describes a kind of intelligent agricultural system, including central authorities' control
Platform processed, data acquisition module, performance element and weather collection Cloud Server；The data acquisition module, external data sensing
Device, so as to gather the information of sensor detection, and by the information transfer of collection to center controlling platform；The weather collection cloud clothes
Business device, by internet Real-time Collection Weather information, and the Weather information of collection is transmitted to center controlling platform；The central authorities
Control platform, according to receive from data acquisition module and weather collection Cloud Server information be analyzed, and according to point
Analysis result, sends different orders to performance element；The performance element, according to the order of center controlling platform, control is corresponding
Terminal device perform corresponding action.
The patent application of Application No. 201310342079.1 describes a kind of agricultural plant protection long distance service system, the system
System includes：Information collecting device, GPS module, wireless communication module and plant protection expert diagnosis platform；Described information collecting device,
For the collection of formula point-like to be moved to plant according to the information of predetermined collection；GPS module, for positioning current collected plant
The geographical position that thing is located；Wireless communication module, for the information that gathers information collecting device and the geography of GPS module positioning
Positional information is sent to plant protection expert diagnosis platform, and the control prece of plant protection expert diagnosis is returned into peasant；The plant
Expert diagnosis platform is protected, for the information that Nong Bao expert's remote analysis and diagnosis above- mentioned information collecting device are gathered, issues anti-
Control scheme.
Above-mentioned service system primarily focuses on the plantation and management of crops, and under identical planting conditions, crops
The selection of kind has a major impact to the income planted, and prior art rarely has the service system for instructing variety of crops to select, and uses
Family is difficult to select suitable variety of crops so that plantation Income Maximum.
The content of the invention
The application provides the service system that a kind of Policy model solves the problems, such as plantation, provides the user multiple kinds of crops kind
Selection strategy, instructs user to select variety of crops.
A kind of Policy model solves the problems, such as the service system of plantation, including client, remotely stores computing system, database
With scheme output end；Database is connected with long-range storage computing system, and database includes kind word bank, and kind word bank internal memory is contained
Variety of crops information；Client is used for the plantation strategy that the planting conditions information of receive user typing and user select, and will
The plantation strategy that the planting conditions information of user's typing and user select is sent to long-range storage computing system；Long-range storage is calculated
Plantation strategy and planting conditions information that system is selected according to user, generate corresponding Policy model, are carried out by Policy model
Calculate, the variety of crops of the maximizing the benefits under current planting conditions and plantation strategy is selected from database, by scheme
Output end exports selected variety of crops.
Preferably, the plantation strategy that user selectes includes yield preference strategy, the quality of priority strategy or cost priority strategy,
The Policy model of generation includes yield preference strategy model, the quality of priority Policy model or cost priority Policy model.
Preferably, planting conditions information includes static conditions information and dynamic conditions information, and static conditions information includes planting
Positional information and planting site climatic information are planted, dynamic conditions information includes planting cost information, land fertility information and operator
Formula information.
Preferably, calculated by Policy model, selected from database under current planting conditions and plantation strategy
The variety of crops of maximizing the benefits, specially：According to planting location information and planting site climatic information be calculated it is static because
Number, according to planting cost information, land fertility information and operating type information dynamic factors are calculated, with reference to static factor and
Dynamic factors, select the variety of crops of the maximizing the benefits under current planting conditions and plantation strategy from database.
Preferably, database also include pest and disease damage word bank, fertilizer product word bank, Pesticidal products word bank, weather information word bank,
Mechanical information word bank, area information word bank, soil fertility word bank and hydrographic information word bank.
Preferably, database also includes expert's word bank, and expert's word bank internal memory contains expert's information, expert's exchange letter
Breath, expert develop programs information, expert problem information and typical problem information.
Preferably, database also includes historical price information word bank and price expectation word bank, historical price information subinventory
Contain seed, agricultural machinery, agricultural chemicals, fertilizer, agricultural facility, electricity, water and artificial price history information, the storage of price expectation word bank
There are the price trend data obtained by historical price information data and the prediction of pricing information external information.
Preferably, client includes cell-phone customer terminal and computer client.
Preferably, client is by wired or be wirelessly connected with long-range storage computing system.
The beneficial effect of the application is, because the application is used for the planting conditions information of receive user typing by client
The plantation strategy selected with user, and the plantation strategy that the planting conditions information of user's typing and user select is sent to long-range
Storage computing system；Plantation strategy and planting conditions information that long-range storage computing system is selected according to user, generate corresponding
Policy model, is calculated by Policy model, select from database current planting conditions and plantation strategy under benefit most
The variety of crops of bigization, by scheme output end selected variety of crops is exported, so as to provide the user current plantation
Condition and the variety of crops of the lower maximizing the benefits of plantation strategy, select variety of crops to provide guidance for user.
Description of the drawings
Fig. 1 is the structural representation of embodiment 1；
Fig. 2 is the structural representation of embodiment 2.
Specific embodiment
Accompanying drawing is combined below by specific embodiment to be described in further detail the present invention.
Embodiment 1：
A kind of Policy model solves the problems, such as the service system of plantation, as shown in figure 1, calculating including client 1, long-range storage
System 2, database 3 and scheme output end 4.Client 1 can be cell-phone customer terminal and computer client, for User logs in system
System.Client 1 provides planting conditions Data Enter interface and plantation policy selection interface, for user's typing planting conditions information
With selected plantation strategy.Database 3 is connected with long-range storage computing system 2, and database 3 includes kind word bank, in kind word bank
Internal memory contains variety of crops information.
After user's typing planting conditions information and selected plantation strategy, client 1 believes the planting conditions of user's typing
The plantation strategy that breath and user select is sent to long-range storage computing system 2, what long-range storage computing system 2 was selected according to user
Plantation strategy and planting conditions information, generate corresponding Policy model, are calculated by Policy model, select from database 3
The variety of crops of the maximizing the benefits under current planting conditions and plantation strategy is selected, exports selected by scheme output end 4
Variety of crops.Certainly, the variety of crops of the final output of scheme output end 4 is not limited to only one of which, exportable multiple excellent
Select variety of crops to select for user, and the good and bad information of every kind of variety of crops is provided, make the selection of user more.
Embodiment 2：
Used as a kind of concrete application of embodiment 1, in the present embodiment, client 1 provides yield preference strategy, the quality of priority
Strategy and cost priority strategy these three strategies allow user to select, the optional fixed output quota amount preference strategy of user, the quality of priority strategy and
Any one in cost priority strategy.The planting conditions information of user's typing includes that static conditions information and dynamic condition are believed
Breath, static conditions information includes planting location information and planting site climatic information, dynamic conditions information include planting cost information,
Land fertility information and operating type information.
As shown in Fig. 2 the strategy that user selectes is that yield is preferential, it is preferential that long-range storage computing system 2 correspondence generates yield
Policy model, yield preference strategy according to the static information such as planting location information and planting site climatic information be calculated it is static because
Number, according to multidate informations such as planting cost information, land fertility information and operating type information dynamic factors are calculated, this
When, production problems are paid the utmost attention to, with reference to static factor and dynamic factors, select from database in current planting conditions and plantation
The lower yield highest variety of crops of strategy.
Embodiment 3：
As the another kind application of embodiment 1.In the present embodiment, client 1 provides yield preference strategy, the quality of priority plan
Slightly and cost priority strategy these three strategies allow user to select, the optional fixed output quota amount preference strategy of user, the quality of priority strategy and into
Any one in this preference strategy.The planting conditions information of user's typing includes static conditions information and dynamic conditions information,
Static conditions information includes planting location information and planting site climatic information, and dynamic conditions information includes planting cost information, soil
Ground fertility information and operating type information.Database also includes historical price information word bank and price expectation word bank, historical price
Information word bank is stored with seed, agricultural machinery, agricultural chemicals, fertilizer, agricultural facility, electricity, water and artificial price history information, and price is pre-
Survey the price trend data that word bank is stored with by historical price information data and the prediction acquisition of pricing information external information.
It is long-range to store the preferential plan of the correspondence manufacturing cost of computing system 2 when the strategy that user selectes is cost priority strategy
Slightly model, cost priority strategy according to the static information such as planting location information and planting site climatic information be calculated it is static because
Number, according to multidate informations such as planting cost information, land fertility information and operating type information dynamic factors are calculated, this
When, production problems are paid the utmost attention to, with reference to static factor and dynamic factors, select from database in current planting conditions and plantation
The lower yield highest variety of crops of strategy.
In other embodiments, when the strategy that user selectes is the quality of priority strategy, the long-range storage correspondence of computing system 2
The quality of priority Policy model is generated, now, the quality problem of kind is paid the utmost attention to, with reference to static factor and dynamic factors, from number
According to selecting the best variety of crops of quality under current planting conditions and plantation strategy in storehouse.
Embodiment 4：
Used as the improvement of embodiment 1, in the present embodiment, database also includes expert's word bank, and expert's word bank internal memory is contained specially
Family's personal information, expert's exchange of information, expert are developed programs information, expert problem information and typical problem information.Expert
Information is the information of expert user.Client 1 provides expert consulting interface, and user wants that what is seeked advice from asks in the typing of expert consulting interface
Topic, long-range storage computing system 2 enters line retrieval to the keyword of problem, is that user matches corresponding expert user, facilitates use
Exchanging between family and expert user.May further be user selects variety of crops to provide help.
Above content is to combine specific embodiment further description made for the present invention, it is impossible to assert this
It is bright to be embodied as being confined to these explanations.For general technical staff of the technical field of the invention, do not taking off
On the premise of present inventive concept, some simple deduction or replace can also be made.
Claims (9)
1. a kind of Policy model solves the problems, such as the service system of plantation, it is characterised in that：
Including client, remotely store computing system, database and scheme output end；Database and long-range storage computing system phase
Even, database includes kind word bank, and kind word bank internal memory contains variety of crops information；
Client is used for the planting conditions information of receive user typing and the plantation strategy selected of user, and by the kind of user's typing
The plantation strategy that plant conditional information and user select is sent to long-range storage computing system；
Plantation strategy and planting conditions information that long-range storage computing system is selected according to user, generate corresponding Policy model,
Calculated by Policy model, the farming of the maximizing the benefits under current planting conditions and plantation strategy is selected from database
Article kind, by scheme output end selected variety of crops is exported.
2. Policy model according to claim 1 solves the problems, such as the service system of plantation, it is characterised in that：
The plantation strategy that user selectes includes yield preference strategy, the quality of priority strategy or cost priority strategy, the strategy of generation
Model includes yield preference strategy model, the quality of priority Policy model or cost priority Policy model.
3. Policy model according to claim 2 solves the problems, such as the service system of plantation, it is characterised in that：
Planting conditions information includes static conditions information and dynamic conditions information, static conditions information include planting location information and
Planting site climatic information, dynamic conditions information includes planting cost information, land fertility information and operating type information.
4. Policy model according to claim 3 solves the problems, such as the service system of plantation, it is characterised in that：It is described by plan
Slightly model is calculated, and the farming article of the maximizing the benefits under current planting conditions and plantation strategy is selected from database
Kind, specially：
Static factor is calculated according to planting location information and planting site climatic information, according to planting cost information, soil fertilizer
Force information and operating type information are calculated dynamic factors, with reference to static factor and dynamic factors, select from database
Current planting conditions and the variety of crops of the lower maximizing the benefits of plantation strategy.
5. Policy model according to claim 1 solves the problems, such as the service system of plantation, it is characterised in that：
Database also includes pest and disease damage word bank, fertilizer product word bank, Pesticidal products word bank, weather information word bank, mechanical information
Storehouse, area information word bank, soil fertility word bank and hydrographic information word bank.
6. Policy model according to claim 1 solves the problems, such as the service system of plantation, it is characterised in that：
Database also includes expert's word bank, and expert's word bank internal memory contains expert's information, expert's exchange of information, expert formulation side
Case information, expert problem information and typical problem information.
7. Policy model according to claim 1 solves the problems, such as the service system of plantation, it is characterised in that：
Database also includes historical price information word bank and price expectation word bank, and historical price information word bank is stored with seed, agriculture
Industry apparatus, agricultural chemicals, fertilizer, agricultural facility, electricity, water and artificial price history information, price expectation word bank is stored with by history
The price trend data that price information data and the prediction of pricing information external information are obtained.
8. Policy model according to claim 1 solves the problems, such as the service system of plantation, it is characterised in that：
Client includes cell-phone customer terminal and computer client.
9. Policy model according to claim 1 solves the problems, such as the service system of plantation, it is characterised in that：
Client is by wired or be wirelessly connected with long-range storage computing system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201611025984.4A CN106686054A (en) | 2016-11-18 | 2016-11-18 | Service system of using strategy model to solve plantation problem |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611025984.4A CN106686054A (en) | 2016-11-18 | 2016-11-18 | Service system of using strategy model to solve plantation problem |
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| CN106686054A true CN106686054A (en) | 2017-05-17 |
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| CN201611025984.4A Pending CN106686054A (en) | 2016-11-18 | 2016-11-18 | Service system of using strategy model to solve plantation problem |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108960484A (en) * | 2018-06-08 | 2018-12-07 | 天柱县白市镇双河村峰晶种植专业合作社 | A kind of wine-growing effectiveness forecasting system |
| CN109308419A (en) * | 2018-08-23 | 2019-02-05 | 杭州唯在信息科技有限公司 | A kind of cloud computing agricultural information classification encryption handling system |
| CN109447266A (en) * | 2018-03-12 | 2019-03-08 | 南京农业大学 | A kind of agricultural science and technology service intelligent sorting method based on big data |
| CN109766380A (en) * | 2018-12-29 | 2019-05-17 | 山东丰信农业服务连锁有限公司 | A kind of agricultural planting pesticide evolution method and system based on internet and artificial intelligence |
| CN111985694A (en) * | 2020-07-29 | 2020-11-24 | 北京派得伟业科技发展有限公司 | Planting planning system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109766380A (en) * | 2018-12-29 | 2019-05-17 | 山东丰信农业服务连锁有限公司 | A kind of agricultural planting pesticide evolution method and system based on internet and artificial intelligence |
| CN111985694A (en) * | 2020-07-29 | 2020-11-24 | 北京派得伟业科技发展有限公司 | Planting planning system |
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Application publication date: 20170517 |