CN106354184A - Efficient intelligent management and control system for agricultural production - Google Patents
Efficient intelligent management and control system for agricultural production Download PDFInfo
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- CN106354184A CN106354184A CN201610977087.7A CN201610977087A CN106354184A CN 106354184 A CN106354184 A CN 106354184A CN 201610977087 A CN201610977087 A CN 201610977087A CN 106354184 A CN106354184 A CN 106354184A
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Abstract
The invention relates to the technical field of agriculture and specifically relates to an efficient intelligent management and control system for agricultural production. A dynamic information collection unit is used for collecting natural environmental information, market information, feedback information of a production management unit and task feedback information of a planter operation unit; a static state information storage unit comprises an agricultural knowledge database; and the dynamic information collection unit transmits dynamic data to a server and invokes a judgment operational model on the server and static data in the static state information storage unit according to the dynamic data, the judgment operational model combines the dynamic data with the static data for judgment, the server transmits task information to the production management unit, the production management unit processes the task information and pushes the task information to the planter operation unit, the planter operation unit finishes the task and transmits the task feedback information to the production management unit, and the production management unit processes the task feedback information and transmits the task feedback information to the server. According to the efficient intelligent management and control system, the management efficiency and level of an enterprise are improved.
Description
Technical field
The present invention relates to agricultural technology field is and in particular to a kind of utilize agriculture big data, the Internet and computer technology
The agricultural production Efficient intelligent managing and control system that comprehensive exploitation is formed.
Background technology
Due to the comprehensive situations such as the system form of Chinese agriculture, legal system environment, moral environment, production scale in agricultural
There is certain contradiction and safe breeding between.
The subjective experience that agricultural production manages mainly by people judges that execution, mistake rate and fault rate are higher, leads to
Some Enterprises or individual are afterwards through frequently with bad means, solving the problems, such as crop yield or pest and disease damage aspect, to ensure warp
Ji benefit, and then cause Crop securify problem and problem of environmental pollution.Agricultural technology circulation way falls behind, time cost or fall
Ground executory cost is all higher, leads to the promotion and application difficulty of new technique big.The agricultural production management of extensive style is commonplace,
The means lack intensive cultivation, preventing as first theory and process management and control, substantially using the method solving afterwards, on the one hand lead to
The fertile abuse of medicine, increases agriculture production cost, on the other hand leads to food-safety problem and problem of environmental pollution.Lack production process
Review, agricultural product review the entrance (as producers' cooperative) that can only trace back to production and operation enterprise or tissue, a lot of enterprises
Production estimation process review, be all artificially to fill in afterwards, be on the one hand difficult to embody verity, on the other hand increased enterprise
Manpower burden, Chinese agriculture produce process monitoring and supervision weak.
Software currently for agricultural production end can divide two big class, and a class is business administration type, such as erp class etc., mainly
For aspects such as the means of agricultural production of agribusiness, finance, sale and task examination ＆ approval, another kind of for pure technology class, such as fertilizer preparation, environment
Information detection etc., but the software system being combined together not plant growth cultivation management with to the management of Enterprise Human, and
It is intelligentized.For agricultural production, the technical management to crop and the management to grower are combined together, have been only
Beautiful management.If can not allow the different cycles that grower understands and grasp in plant growth what should do, simultaneously right
Grower forms supervision it may be said that agricultural production is out of control in itself.So this two classes software is at present for Chinese agriculture core
For heart problem produces management and control, all there is a problem of that earth-free gas, application are poor.
Content of the invention
In view of the defect of prior art, the present invention provides a kind of agricultural production Efficient intelligent managing and control system, using system
The static information storage element (knowledge base) on backstage, planting environment dynamic interaction data and intelligent decision operational model), judge to plant
Plant the quality of plan, judge crop-planting managing process and pest and disease damage early warning etc., and grower can be allowed to understand and grasp
How the different cycles of plant growth should manage, and the management plant growth cultivation technique with to enterprise grower combines one
Rise, supervision is formed to grower simultaneously.
For reaching above-mentioned purpose, the technical solution adopted in the present invention is a set of agricultural production Efficient intelligent management and control system
System, it includes dynamic information collection unit, intelligent operational model, static information storage element (knowledge base), server, produces and appoint
Business administrative unit and grower's operating unit, means of agricultural production library management unit.Dynamic information collection unit is used for gathering natural environment letter
Breath, market information and the feedback information of production management's unit and the task feedback information of grower's operating unit；Static information stores up
Memory cell includes agricultural knowledge data base, and static information storage element is present on server；Dynamic information collection unit will move
State data transfer, to server, is transferred according to dynamic data in intelligent operational model and the static information storage element on server
Static data, dynamic data and static data are combined by intelligent operational model, are formed and judge, server is to production management afterwards
Unit transformation task information, production management's unit is processed to mission bit stream, and mission bit stream is pushed to grower's operation
Unit, grower's operating unit completes task and to production management's unit transformation task feedback information, and production management's unit is to appointing
Business feedback information is processed transmitting to server.In described mission bit stream a part of directly by server transport to grower
Operating unit, grower's operating unit directly transmits task feedback information to server after completing task.Article one, mission bit stream
Route of transmission be that backstage setting is carried out by manager.
Static information is the data of various huge relevant plant growth Cultivate administration on uploading onto the server and technology
Storehouse, it is the planting scheme according to different agribusinesses geographical position and Different Crop, is targetedly taken out, and passes
Lead to production manager.
When intelligent operational model, will do what, the operational model of different classes of crop is different, its
Management role including the intelligent decision of sowing plan, crop cycle intelligent decision, crop different growth phases is intelligently sentenced
Break, pest and disease damage early warning and preventing and treating judge.
Dynamic information collection unit obtains the on-site positional information in farm by location technology, is obtained using positional information
Local natural environment information, wherein natural environment information includes weather information, environmental information and soil information.
Market information includes the yield of estimated harvesting, the yield of the market demand, the yield of the described market demand can by and
Local large-scale agricultural product electric business platform obtains local market demand.
Agricultural knowledge data base includes map data base, SOIL DISTRIBUTION data base, crop cultivating technology data base, production pipe
Reason process standard data base and prevention and control of plant diseases, pest control data base.These data bases mostly come from actual agricultural production work warp for many years
The data tested and extract from technical data both domestic and external.
Task feedback information includes the voice of grower's operating unit mobile terminal recording and the photo of shooting and for institute
The confirmation of reception task performance.
Beneficial effects of the present invention: the enterprise efficiency of management and management level；Save agribusiness's manpower it is ensured that making
The verity of thing record of production process.Change the mode that agricultural production generally leans on people's subjective experience to judge；Change agriculture skill
The circulation way of art, task is combined with technical communicator in real time, improves the technical merit of peasant and workers in enterprise.Profit
Use various data bases, judge that the quality of planting scheme, crop-planting managing process judge, pest and disease damage early warning judges, crop is given birth to
Length carries out scientific management.
Operation principle: using location technology, meteorological data, pest and disease damage outburst rule, according to agricultural planting production management
Knowledge base, big data and planting environment multidate information, according to standardized management flow process and the technology implementation flow process shape of crop-planting
Become intelligent algorithm, the sowing plan according to production manager and managing process, by the Internet, real time propelling movement is directed to the life of crop
Produce management role, gone directly pc end and mobile terminal by high in the clouds, by the feedback of performance, and then define enterprise's production to work
The management and control of thing growth and the management to peasant and peasant workman.The condition that system judges is: 1) extraneous humiture etc. is natural
Information 2) information that obtains of the observation that reports of production manager or peasant household and complete task process information；The foundation that system judges
It is: the 1) intelligent algorithm 2 on Cloud Server backstage) big data of the agricultural production plantation of storage on Cloud Server.
Weather information includes temperature, humidity, light application time and wind-force, comes from disclosed weather forecast.This type of information
Can be directly used for instructing the production of field crop.By the measurement of the artificial humiture to related agricultural facility for the manager, formed
Relational model to environment in this farm throughout the year agricultural facility and the outer temperature of facility, humidity, such as in farm land for growing field crops and production
In facility, humiture and soil nutrient detection sensor are installed, system setup port can also be docked, and is transferred to system background,
With the docking of corresponding static database, by intelligent computing, instruct thus sending and more accurately managing.
Environmental information one side comes from the temperature in the production facility that weather forecast and manager input according to system command
Humidity and soil dependence test information, on the other hand refer to come from the information that various hardware sensor detect.Soil information refers to soil
Various nutrient composition contents in earth type, soil.ASI systematic approach survey meter can be conducted through measure by hand it is also possible to pass through
Soil detection sensor, is transmitted in system background after automatically measuring.
Market information mainly includes the yield of estimated harvesting, and the yield of the market demand, and the yield of the market demand can be led to
Cross and local large-scale agricultural product electric business platform obtains local market demand.Purpose is that Producer is formulating sowing plan
When, just can consider the needs in market, so that it is determined that sown area, it is to avoid blindly produce, produce later stage sales difficulty.
Carry out the good and bad judgement of planting scheme using the system, by system background, be intended to the crop sowed and
Long-term cropping is compared, and is counteracted each other the intelligent decision good and bad to sowing plan that principle (data) formed and entangling using crop
Mistake, thus provide optimal Plant plane.Various crops in nature, itself have the relation of interpromoting relation in five elements and restriction or checking relation in five elements, some crops
Plant together or close on and can play the effect mutually promoted, such as promote mutual root growth；Resist hold each other explosive
Pest and disease damage etc., some plant growths or close on together, then mutually produce bad impact, and plant growth is bad, easily breaks out each
Plant pest and disease damage.The title of long-term cropping, implantation time (crops for rotation) and system background planting environment data, plant growth rule are entered
Row comparison calculation forms intelligent decision, thus providing optimal planting scheme scheme.
The utilization in agricultural production of location technology and meteorological data, realizes to residing for production base with location technology
Longitude and latitude and the judgement of residing temperature band, associate with the meteorological data of locality, and by the collection to local meteorological data, it is right to be formed
Impact crop environmental information judges (temperature, humidity, illumination, special weather (typhoon, heavy rain etc.)), is formed according to system background
Under varying environment conditions, management means that crop should be taken, form automatically assigning of management role.
Carry out pest and disease damage early warning intelligent reminding, crop growth environment key element (temperature, humidity, illumination, soil using the system
Nutrition) it is the main cause that induction pest and disease damage grows, by gathering to the judgement of planting environment key element and information data, and system
The intelligent computing on backstage, forms pest and disease damage early warning task.
Mobile terminal uploads information and completes to produce management and control, completes the collection of management and control information by mobile phone app, and task receives, appoints
Business completes, and live feedback (include voice and shoot photo), thus help the judgement to task situation for the production manager, including right
The analysis of crop growth conditions.
Brief description
Fig. 1 is the schematic flow sheet of the present invention.
Specific embodiment
Embodiment 1
A kind of agricultural production Efficient intelligent managing and control system, for planting Fructus Lycopersici esculenti, system includes dynamic information collection unit, quiet
State information storage unit, intelligent decision operational model, server, production management's unit and grower's operating unit.Multidate information
Collecting unit is initially used for gathering the natural environment information such as weather information, environmental information and soil information；Secondly gather estimated adopting
The yield of receipts, the yield of the market demand, wherein, the yield of the market demand can be by obtaining with local large-scale agricultural product electric business platform
Market demand market information expediently；Finally acquire the feedback information of production management's unit and grower's operating unit
Task feedback information.Static information storage element includes agricultural knowledge data base, in its presence and server, dynamic information collection
Unit sends data to server, and both data are docked, and is judged using the operational model on server, server
To production management's unit transformation task information, production management's unit carries out handling of goods and materials and Technical innova- tion, production manager
Mission bit stream can be carried out with the operation clicking, supplementing, ignore, afterwards mission bit stream is pushed to grower's operating unit, plant
Plant person's operating unit completes task and to server transport task feedback information.
System obtains the on-site positional information in farm by location technology, obtains season of locality, temperature, wet afterwards
The items environmental information such as degree, illumination, weather, according to agricultural knowledge data base (map data base, the soil of storage on Cloud Server
Distributed data base, crop cultivating technology data base, production management process standard data base and prevention and control of plant diseases, pest control data base) and intelligence
The mission bit stream of the tomato planting that algorithm draws.Task definition is issued to by the pc of production manager and concrete kind by the Internet
On plant person (peasant workman, peasant household) mobile phone.The user of production manager or platform can be arranged on backstage, and selection instruction passes
After passing production manager, manager supplements through filtering, then is assigned to grower it is also possible to arrange by backstage, Mou Xieren
Business information is directly transmitted to grower.
Common mission bit stream example is as follows:
No. x ground Fructus Lycopersici esculenti is watered, and sprays three times, continues 10 seconds every time, midfeather 5 minutes；
No. x ground Fructus Lycopersici esculenti training, removes yellow leaf and bad leaf；
No. x ground Fructus Lycopersici esculenti ventilation, opens vent and closes after 5 hours；
After production management's unit receives mission bit stream, carry out handling of goods and materials and Technical innova- tion, and the task after processing is believed
Breath pushes to grower's operating unit, and grower's operating unit is that peasant workman, peasant household complete management and control information by mobile phone app
Collection, task receives, task completes.Grower's operating unit is by a part of task feedback information directly to server transport (bag
Include voice and shoot photo), after another part task feedback information carries out under needing manager online checking confirmation, then feedback system
System, thus helping the judgement to task situation for the production manager, including the analysis to crop growth conditions, such management and control process
Making system provide assignment instructions will be more accurate.
Task feedback information refers to the information that manager is formed, input and rural migrant worker for the management role feedback that platform is assigned
The task performance of people's mobile phone terminal feedback, background system can form the judgement to crop management process, thus assign into
The instruction of one step.
Server is by the analysis of dynamic and static data and computing, according to the different phase of plant growth, providing phase
The management role answered, manager and peasant household (peasant workman) feedback after completing task, not only helps manager to understand and manage
The real work situation of control peasant household (peasant workman), meanwhile, also provides to system background and assigns sentencing of further management role
Disconnected premise.We term it the intelligent managing and control system being combined together plant growth cultivation management with to the management of Enterprise Human.
The standardization that management in crop cycle is carried out is classified, and controls the core as each growth stage of crop using crop quality
The heart.By human-computer interaction, in conjunction with background system data base, form the judgement to crop cycle, provide the pipe of correlation simultaneously
Reason task.
The beneficial effect of the present embodiment: solve agricultural production enterprise first in process of production, completely artificially management and control
The problem of management brought, such as cannot accomplish, to the process monitor assigning plantation task, to pinpoint the problems afterwards, late.Lifting
Enterprise management efficiency and management level.Next solves in agriculture field management, lack of control authority, and task performance is complete
Report by verbal communication, task reception and registration is easily unintelligible, and task performance is unintelligible, uncomprehending problem.Enterprise is helped to do
To the production process management and control of operation from arable farming to grower, peasant or peasant workman have easily been clicked on by mobile terminal simultaneously
When becoming button to carry out feedback, automatically form background work record, thus the overall process establishing product produces and reviews record.Save
Agribusiness's manpower is it is ensured that the verity of crop production recording process.Finally solve grower, peasant workman completes to plant
The problem that will not, be ignorant of in plant task, to technical assignment.Change agrotechnical circulation way, task is real-time
Combine with technical communicator, improve the technical merit of peasant and workers in enterprise.This system has overturned Chinese agriculture production management
Traditional approach, change Chinese agriculture production technology circulation way, made Chinese agriculture technical standard application platform,
Establish Chinese agriculture quality of production managing and control system.
Embodiment 2
Using the system, intelligent decision is carried out to the sowing plan of Fructus Lycopersici esculenti.
When formulating sowing plan, determine to plant Fructus Lycopersici esculenti in x plot, the judgement fortune of the sowing plan on Cloud Server
Calculation model inquires according to back-end data (task feedback information before etc.) plants Rhizoma Solani tuber osi in same plot or canopy room,
Counteracted each other performance data (being shown in Table 1 ~ table 5) according to crop in static information storage element, Rhizoma Solani tuber osi and Fructus Lycopersici esculenti are in same plot kind
Plant can make the growth of two kinds of crops all impacted.Cloud Server is judged to be not suitable for planting Fructus Lycopersici esculenti in this plot based on this information,
But the crop of tomato growth is not affected on y plot, in other words, does not only have influential crop, but also plant be implanted with sweet
Indigo plant, Folium Allii tuberosi and Herba Alii fistulosi etc. can promote the crop of growth each other with Fructus Lycopersici esculenti, so providing the result of intelligent decision: there is discomfort in x plot
Close the crop of plantation Fructus Lycopersici esculenti it is recommended that Fructus Lycopersici esculenti is planted on y plot.Server is to production management's unit transformation task information afterwards,
Production management's unit is processed to mission bit stream, and mission bit stream is pushed to grower's operating unit, and grower's operation is single
Unit completes task and to production management's unit transformation task feedback information, and production management's unit is processed to task feedback information
Transmit to server., directly by server transport to grower's operating unit, grower grasps for a part of in described mission bit stream
Complete directly to transmit task feedback information to server after task as unit.Article one, the route of transmission of mission bit stream is by managing
Person carries out backstage setting.
Table 1 fruits and vegetables class crop counteracts each other performance data:
Table 2 fruits and vegetables class crop counteracts each other performance data:
Table 3 root vegetableses crop counteracts each other performance data:
Table 4 base of leaf cole crop counteracts each other performance data:
Table 5 base of leaf cole crop counteracts each other performance data:
The beneficial effect of the present embodiment: sowing plan is the primary work of crop-planting management, plan not science then can be led
Cause that later stage plant growth is bad, pest and disease damage outburst and the problems such as crop failure.By intelligent decision, can point out for production manager
The problem that existing sowing plan exists, provides optimal sowing plans simultaneously.Solve crop cultivating technology completely by life
Produce technical supervisor subjective judgment, lean on individual skill level to determine that enterprise produces completely, increase the problem of enterprise's production risk.Cloud
End automatically the assigning of agricultural technology data, enriches and the perfect knowledge of productive technology management person, reduces business risk.
Embodiment 3
The Herba Spinaciae pest and disease damage early warning intelligent reminding planted using the system.
Dynamic information collection unit was acquired to following seven days weather forecast informations, when the day samming of estimated following two days
When spending subzero for (or being less than) 8 DEG C, system can judge Herba Spinaciae according to the prevention and control of plant diseases, pest control data base in static data library unit
The disease of low temperature obstacle can occur, therefore server assigns the production task improving temperature can to the planting scheme of all Herba Spinaciaes.
The air port Open control time as production facility；If any worming-up equipment it indicates that the use of heating device；And be given specific its
He is incubated and improves the management guidance of temperature.To production management's unit transformation task information, production management's unit is to appointing for server
Business information is processed, and mission bit stream is pushed to grower's operating unit, and grower's operating unit completes task and to life
Produce administrative unit transformation task feedback information, production management's unit is processed transmitting to server to task feedback information.Institute
State a part of in mission bit stream directly by server transport to grower's operating unit, after grower's operating unit completes task
Directly task feedback information is transmitted to server.Article one, the route of transmission of mission bit stream is to carry out backstage setting by manager
's.
Claims (9)
1. agricultural production Efficient intelligent managing and control system it is characterised in that: include dynamic information collection unit, static information storage
Unit, intelligent decision operational model, server, production management's unit and grower's operating unit；Dynamic information collection unit is used
In collection natural environment information, market information and the feedback information of production management's unit and the task feedback of grower's operating unit
Information；Static information storage element includes agricultural knowledge data base, and static information storage element is present on server；Dynamic letter
Breath collecting unit, by dynamic data transmission to server, transfers judgement operational model and the static state on server according to dynamic data
Static data in information storage unit, judges that dynamic data and static data are combined by operational model, is formed and judge, take afterwards
To production management's unit transformation task information, production management's unit is processed business device to mission bit stream, and mission bit stream is pushed away
Deliver to grower's operating unit, grower's operating unit completes task and to production management's unit transformation task feedback information, raw
Produce administrative unit task feedback information is processed transmitting to server.
2. according to the agricultural production Efficient intelligent managing and control system described in claim 1 it is characterised in that: in described mission bit stream
Directly by server transport to grower's operating unit, grower's operating unit completes after task directly by task feedback a part
Information transfer is to server.
3. agricultural production Efficient intelligent managing and control system according to claim 1 it is characterised in that: described multidate information is adopted
Collection unit obtains the on-site positional information in farm by location technology, obtains the natural environment letter of locality using positional information
Breath.
4. agricultural production Efficient intelligent managing and control system according to claim 1 it is characterised in that: described natural environment letter
Breath includes weather information, environmental information and soil information.
5. agricultural production Efficient intelligent managing and control system according to claim 1 it is characterised in that: described market information bag
Include yield, the yield of the market demand of estimated harvesting, the yield of the described market demand can be by the large-scale agricultural product electricity with locality
Business's platform obtains local market demand.
6. agricultural production Efficient intelligent managing and control system according to claim 1 it is characterised in that: described agricultural knowledge number
According to storehouse include map data base, SOIL DISTRIBUTION data base, crop cultivating technology data base, production management process standard data base and
Prevention and control of plant diseases, pest control data base.
7. agricultural production Efficient intelligent managing and control system according to claim 1 it is characterised in that: described task feedback letter
Breath includes the voice of grower's operating unit mobile terminal recording and the photo of shooting.
8. agricultural production Efficient intelligent managing and control system according to claim 1 it is characterised in that: described production management is single
Unit is production manager pc end.
9. agricultural production Efficient intelligent managing and control system according to claim 1 it is characterised in that: described grower operation
Unit is peasant, workman or peasant household mobile terminal.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106960392A (en) * | 2017-03-15 | 2017-07-18 | 西安会泽计算机科技有限公司 | A kind of planting technology service system and method towards medium and small grower |
| CN107133838A (en) * | 2017-03-22 | 2017-09-05 | 无锡中科富农物联科技有限公司 | A kind of Knowledge based engineering means of agricultural production Method of Commodity Recommendation |
| CN107808232A (en) * | 2017-09-29 | 2018-03-16 | 深圳春沐源控股有限公司 | Intelligent farm production management method and intelligent farm production management device |
| CN107995306A (en) * | 2017-12-14 | 2018-05-04 | 柳州市睿亿联电子商务有限公司 | A kind of cotton precision planting system |
| CN108353770A (en) * | 2018-03-13 | 2018-08-03 | 中国科学院地理科学与资源研究所 | It manages the methods, devices and systems in farmland, monitor the method and device in farmland |
| CN108646700A (en) * | 2018-08-01 | 2018-10-12 | 芜湖施乐智能科技有限公司 | A kind of agricultural production Efficient intelligent managing and control system |
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| CN112184472A (en) * | 2020-09-29 | 2021-01-05 | 广东后海控股股份有限公司 | Electronic patrol management platform for family farm and establishment method thereof |
| CN112396329A (en) * | 2020-11-23 | 2021-02-23 | 上海宝临电气集团有限公司 | Intelligent production management method, system, intelligent terminal and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE3325628A1 (en) * | 1983-07-15 | 1985-01-24 | Technica Entwicklungsgesellschaft mbH & Co KG, 2418 Ratzeburg | Method and arrangement for protecting crop plants against the action of incompatible temperatures |
| JPH11242503A (en) * | 1998-02-25 | 1999-09-07 | Hitachi Ltd | Plant operation control support system |
| CN1409251A (en) * | 2001-09-14 | 2003-04-09 | 大松重尚 | production management system for agriculture and aquatic industry |
| CN102079582A (en) * | 2010-12-31 | 2011-06-01 | 中国林业科学研究院林业新技术研究所 | Lightweight detachable composite ecological floating island and constructing method thereof |
| CN102902291A (en) * | 2012-09-24 | 2013-01-30 | 无锡莱吉特信息科技有限公司 | MEMS (Micro Electro Mechanical System) technique-based intelligent agricultural management system |
| CN204270130U (en) * | 2014-12-16 | 2015-04-15 | 南京化工职业技术学院 | A kind of flower shed intelligent control system |
| WO2016037105A1 (en) * | 2014-09-05 | 2016-03-10 | The Climate Corporation | Updating execution of tasks of an agricultural prescription |
| CN105894388A (en) * | 2016-03-31 | 2016-08-24 | 深圳市芭田生态工程股份有限公司 | Service system based on agricultural product consumer-customized demand solution and application thereof |
-
2016
- 2016-11-08 CN CN201610977087.7A patent/CN106354184B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE3325628A1 (en) * | 1983-07-15 | 1985-01-24 | Technica Entwicklungsgesellschaft mbH & Co KG, 2418 Ratzeburg | Method and arrangement for protecting crop plants against the action of incompatible temperatures |
| JPH11242503A (en) * | 1998-02-25 | 1999-09-07 | Hitachi Ltd | Plant operation control support system |
| CN1409251A (en) * | 2001-09-14 | 2003-04-09 | 大松重尚 | production management system for agriculture and aquatic industry |
| CN102079582A (en) * | 2010-12-31 | 2011-06-01 | 中国林业科学研究院林业新技术研究所 | Lightweight detachable composite ecological floating island and constructing method thereof |
| CN102902291A (en) * | 2012-09-24 | 2013-01-30 | 无锡莱吉特信息科技有限公司 | MEMS (Micro Electro Mechanical System) technique-based intelligent agricultural management system |
| WO2016037105A1 (en) * | 2014-09-05 | 2016-03-10 | The Climate Corporation | Updating execution of tasks of an agricultural prescription |
| CN204270130U (en) * | 2014-12-16 | 2015-04-15 | 南京化工职业技术学院 | A kind of flower shed intelligent control system |
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