CN107991969A - A kind of wisdom tobacco planting management system based on Internet of Things - Google Patents
A kind of wisdom tobacco planting management system based on Internet of Things Download PDFInfo
- Publication number
- CN107991969A CN107991969A CN201711420201.7A CN201711420201A CN107991969A CN 107991969 A CN107991969 A CN 107991969A CN 201711420201 A CN201711420201 A CN 201711420201A CN 107991969 A CN107991969 A CN 107991969A
- Authority
- CN
- China
- Prior art keywords
- tobacco
- wisdom
- internet
- management system
- system based
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Cultivation Of Plants (AREA)
Abstract
The present invention relates to a kind of wisdom tobacco planting management system based on Internet of Things, the system, which includes data acquisition transmission subsystem, data mart modeling analyzing subsystem and application displaying subsystem, data acquisition transmission subsystem, includes full-automatic gas as monitoring unit, full-automatic soil sensing unit, high spectrum image scanning element, GPS geographical information collections unit and the quick scanning element of near infrared spectrum；The data mart modeling analyzing subsystem includes tobacco growth prediction model, Forecasting Pests, tobacco-growing soil Adaptability Evaluation model, quality of tobacco evaluation model and quality of tobacco safe tracing model；The application displaying subsystem includes water-fertilizer-pesticide overall-in-one control schema unit, tobacco leaf customized production unit, quality of tobacco trace-back unit and System Management Unit.Development of the invention by Technical Innovation To Promote tobacco modern agriculture, realizes the target of the control of tobacco planting long-range, automation mechanized operation and fine-grained management.
Description
Technical field
The invention belongs to tobacco planting management domain, more particularly to a kind of wisdom tobacco planting management system based on Internet of Things
System.
Background technology
Tobacco leaf production is the basis of tobacco industry, as the price of labour power goes up, tobacco grower's aging accelerates, tobacco leaf compares effect
The problem of benefit declines, and China will face " who carrys out kind of a cigarette " quickly.Pushing forward tobacco leaf is given birth to always for countries tobacco relevant industrial department
Production is changed from traditional agriculture to modern agriculture, and forms " responsibility tobacco ", the theory of " green tobacco ", and conscious understanding is at present
There is a series of basic, structural issues such as the mode of production, organizational form, management mode in leaf tobacco production.Solve this
A little problems are innovated except mechanism of system, it is also necessary to are used as the breach and handle for solving existing issue using scientific and technical innovation.
With the fast development and in-depth of the generation information technology such as cloud computing, big data, Internet of Things, " internet agricultural "
Using information technology and the continuous fusion development of agricultural production, the Three kinds of hors d'oeuvres old road line " spelling resource in the past, and spelled input, spell environment " is
It is unsustainable, it is extremely urgent to prize Agro-ecology, green, sustainable development using science and technology.Apply disclosing at present multinomial
Invention or patent of invention, as 105160488 A of CN disclose a kind of wisdom agricultural management system, 105898234 A of CN are disclosed
A kind of wisdom agricultural management system, 204807985 U of CN authorize a kind of wisdom agricultural control system based on cloud computing.But
Foregoing invention patent and not according to crop demand, crop be worth the features such as targeted design intelligent management system, it is impossible to solve pair
Environment is more sensitive, has the tobacco wisdom management of special utility value.
The content of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of wisdom tobacco planting management system based on Internet of Things, with
Based on Internet of Things, informationization technology is support, realizes tobacco planting intelligentized control method, scientific management, and transformation tobacco is existing
The mode of production, organizational form and management mode, provide new approach for the development of modern tobacco agriculture.
To achieve the above object, patent of the present invention adopts the following technical scheme that：
The present invention is a kind of wisdom tobacco planting management system based on Internet of Things.The system includes data acquisition transmission
System, data mart modeling analyzing subsystem and application displaying subsystem.The data acquisition transmission subsystem include full-automatic gas as
Supervise unit, full-automatic soil sensing unit, high spectrum image scanning element, GPS geographical information collections unit and near infrared spectrum
Quick scanning element；The data mart modeling analyzing subsystem includes tobacco growth prediction model, Forecasting Pests, plants crude opium
Earth Adaptability Evaluation model, quality of tobacco evaluation model and quality of tobacco safe tracing model；The application shows subsystem bag
Include water-fertilizer-pesticide integral control system, tobacco leaf customized production scheme subsystem, quality of tobacco retrospect subsystem and system administration circle
Face.
The intelligent management system is based on the mobile networks such as 4G, Wifi and realizes that data acquisition is transmitted, based on MySQL,
Online data/offline storage and processing are realized using Storm/Hadoop/Spark distributed computing frameworks, pass through B/S
(Browser/server, Browser/Server Mode) framework, uses lightweight Struts2, Sring, Hibernate Katyuan
Framework integration is developed, and is realized based on MVC layer architectures pattern.
The full-automatic gas is used to gather vega meteorological data, including illumination, temperature, rainfall etc. as monitoring unit.
The full-automatic soil sensing unit is used to gather the soil moisture, humidity, electrical conductivity, pH value.
The high spectrum image scanning element is for gathering tobacco leaf field growing way, a situation arises for pest and disease damage.
The GPS geographical information collections unit is used to obtain vega geographic profile information, including longitude, latitude, height above sea level
Degree etc..
The tobacco growth prediction model is different raw according to weather conditions, soil nutrient and field management measure integrated forecasting
Period tobacco leaf growing way is educated, decision-making foundation is provided for tobacco leaf adjusting and controlling growth.
The Forecasting Pests are used for prediction tobacco leaf main diseases and insect pests probability of happening, effectively improve tobacco leaf disease pest
Evil integrated control ability.
The tobacco-growing soil Adaptability Evaluation model be used to evaluating tobacco-growing soil nutrient and tobacco leaf grow demand whether phase one
Cause, link water-fertilizer-pesticide integral control system, there is provided water-fertilizer-pesticide configuration report.
The quality of tobacco evaluation model is used for field and cured tobacco leaf quality evaluation, and customizing production decision for tobacco leaf carries
For foundation.
The quality of tobacco safe tracing model passes through to tobacco leaf growing environment, soil regime, Cultivate administration measure decile
Analysis, specifies tobacco leaf Safety Evaluation Index and its threshold value.
The water-fertilizer-pesticide overall-in-one control schema unit analysis shows that water, which makes up a prescription, applies species, quantity, starts according to data mart modeling
Automatic drip-irrigation equipment, realizes water-fertilizer-pesticide overall-in-one control schema, reduces cost of labor, realizes Tree Precise Fertilization, dispenser, pours water, and reduces
Water-fertilizer-pesticide is lost in.
Flue-cured tobacco customized production unit is analyzed according to data mart modeling and flue-cured tobacco target yield and quality, design customization metaplasia production technical side
Case, scientific guidance is provided for lifting flue-cured tobacco yield and quality.
Quality of tobacco trace-back unit allots module, tobacco production and value amount module, tobacco purchasing data and tobacco leaf kind including tobacco leaf
Planting management module, structure tobacco planting management database.
System Management Unit include user management module, Role Management module, authority management module, exchange menu module,
Device management module and log management module, for day-to-day operation and maintenance, work is realized by mobile networks such as 4G or Wifi
Platform, handheld terminal or LED large-size screen monitors show application end.
The present invention realizes that tobacco planting long-range controls, is automatic by the development of Technical Innovation To Promote tobacco modern agriculture
Change the target of operation and fine-grained management.
Displaying content transmission will be applied to workbench, handheld terminal or the big screen displays of LED by mobile networks such as 4G or Wifi
Show, realize the control of flue-cured tobacco long-range, fine-grained management.
Brief description of the drawings
Fig. 1 is flow diagram of the present invention；
Embodiment：
The present invention is described further below in conjunction with the accompanying drawings, but the present invention must not be any limitation as in any way,
Based on present invention teach that done it is any be altered or modified, belong to protection scope of the present invention.
As shown in Figure 1, the present invention is the wisdom tobacco planting management system based on Internet of Things.The system includes data acquisition
Transmission subsystem, data mart modeling analyzing subsystem and application displaying subsystem.
The intelligent management system is based on J2EE platforms, realizes that data acquisition is transmitted by mobile networks such as 4G, Wifi, with
Based on MySQL database, using Storm/Hadoop/Spark distributed computing frameworks realize online data/offline storage and
Processing, by B/S (Browser/server, Browser/Server Mode) framework, using lightweight Struts2, Sring,
The framework integration exploitation of Hibernate Katyuan, and realized based on MVC layer architectures pattern.
The data acquisition transmission subsystem includes full-automatic gas as monitoring unit, full-automatic soil sensing unit, height
Spectrum picture scanning element, GPS geographical information collections unit and the quick scanning element of near infrared spectrum, for gathering field in real time
Temperature, rainfall, illumination, wind speed, wind direction, the soil moisture, soil moisture, soil pH value, vega distribution ground force information, field tobacco leaf
A situation arises for growing way and pest and disease damage, field tobacco leaf chemical composition situation of change etc., and number is realized by mobile networks such as 4G or Wifi
According to transmission, interconnected with data mart modeling analyzing subsystem.
The data mart modeling analyzing subsystem includes tobacco growth prediction model, Forecasting Pests, tobacco-growing soil and fits
Answering property evaluation model, quality of tobacco evaluation model and quality of tobacco safe tracing model.Using Storm/Hadoop/Spark points
Cloth Computational frame realizes online data/offline storage and processing, and specific data value output model is gathered as a result, being according to field
Realize that data in-depth application provides technical support.
The application displaying subsystem includes water-fertilizer-pesticide overall-in-one control schema unit, flue-cured tobacco customized production unit, quality of tobacco
Trace-back unit and System Management Unit.The subsystem provides water-fertilizer-pesticide configuration opinion, next season flue-cured tobacco according to tobacco growth situation
Production technology scheme, structure quality of tobacco are traced to the source storehouse, there is provided system is applied and operation maintenance management measure.Pass through 4G or Wifi etc.
Mobile network will apply displaying content transmission to workbench, handheld terminal or LED large-size screen monitors show, realize flue-cured tobacco long-range control,
Fine-grained management.
Claims (15)
1. a kind of wisdom tobacco planting management system based on Internet of Things, it includes data acquisition transmission subsystem, data mart modeling
Analyzing subsystem and application displaying subsystem, it is characterised in that realize that data acquisition is transmitted based on mobile networks such as 4G, Wifi,
Based on J2EE platforms, based on MySQL database, data are realized using Storm/Hadoop/Spark distributed computing frameworks
On-line/off-line stores and processs, and by B/S (Browser/server, Browser/Server Mode) framework, uses lightweight
The framework integration exploitation of Struts2, Sring, Hibernate Katyuan, and realized based on MVC layer architectures pattern.
2. a kind of wisdom tobacco planting management system based on Internet of Things according to claim 1, it is characterised in that described
Data acquisition transmission subsystem includes full-automatic gas as monitoring unit, full-automatic soil sensing unit, high spectrum image scanning are single
Member, GPS geographical information collections unit and the quick scanning element of near infrared spectrum.
3. a kind of wisdom tobacco planting management system based on Internet of Things according to claim 2, it is characterised in that described
Full-automatic gas is as monitoring unit collection field temperature, illumination, rainfall.
4. a kind of wisdom tobacco planting management system based on Internet of Things according to claim 2, it is characterised in that described
Full-automatic soil sensing unit collection field soil temperature, soil moisture, soil pH value, salt figure and electrical conductivity.
5. a kind of wisdom tobacco planting management system based on Internet of Things according to claim 2, it is characterised in that described
High spectrum image scanning element collection field tobacco surface product index, tobacco leaf thickness, a situation arises for pest and disease damage, tobacco leaf growing way.
6. a kind of wisdom tobacco planting management system based on Internet of Things according to claim 2, it is characterised in that described
The geography information such as GPS geographical information collections unit collection vega cultivated area, height above sea level, longitude, latitude.
7. a kind of wisdom tobacco planting management system based on Internet of Things according to claim 2, it is characterised in that described
The quick scanning element of near infrared spectrum gathers field tobacco leaf chemical composition content in real time.
8. a kind of wisdom tobacco planting management system based on Internet of Things according to claim 1, it is characterised in that described
Data mart modeling analyzing subsystem include tobacco growth prediction model, Forecasting Pests, tobacco-growing soil Adaptability Evaluation model,
Quality of tobacco evaluation model and quality of tobacco safe tracing model.
9. a kind of wisdom tobacco planting management system based on Internet of Things according to claim 8, it is characterised in that described
Tobacco growth prediction model predicts tobacco leaf later stage growing way, takes related management measure in time, adjusts tobacco leaf growing state.
A kind of 10. wisdom tobacco planting management system based on Internet of Things according to claim 8, it is characterised in that institute
Forecasting Pests prediction tobacco leaf main diseases and insect pests time of origin, probability are stated, is provided for tobacco leaf integrated pest prevention and control
Decision-making foundation.
A kind of 11. wisdom tobacco planting management system based on Internet of Things according to claim 8, it is characterised in that institute
State tobacco-growing soil Adaptability Evaluation model evaluation soil nutrient and soil moisture content and grow the situation that matches with tobacco leaf, to pour water,
Fertilising provides foundation.
A kind of 12. wisdom tobacco planting management system based on Internet of Things according to claim 8, it is characterised in that institute
Quality of tobacco evaluation model is stated by quality of tobacco evaluation model, screens Key Influential Factors, customizing production for tobacco leaf provides
Technical support.
A kind of 13. wisdom tobacco planting management system based on Internet of Things according to claim 8, it is characterised in that institute
Quality of tobacco safe tracing model retrospect tobacco leaf growing environment, soil regime, Cultivate administration measure are stated, realizes yield of tobacco, matter
Amount, security, the information source tracing management such as allot, purchase.
A kind of 14. wisdom tobacco planting management system based on Internet of Things according to claim 1, it is characterised in that institute
State using displaying subsystem include water-fertilizer-pesticide overall-in-one control schema unit, tobacco leaf customized production unit, quality of tobacco trace-back unit and
System Management Unit, moves network by 4G or Wifi etc., realizes that workbench, handheld terminal or LED large-size screen monitors are shown.
A kind of 15. wisdom tobacco planting management system based on Internet of Things according to claim 14, it is characterised in that institute
State water-fertilizer-pesticide overall-in-one control schema unit and water-fertilizer-pesticide configuration report is provided, realize that water-fertilizer-pesticide automation is implemented；The tobacco leaf customization
Production decision unit, design provide coming year cured tobacco production Cultivate administration scheme, realize that flue-cured tobacco customizes production；The system pipes
Manage unit, comprising user management module, Role Management module, authority management module, exchange menu module, device management module and
Log management module, for day-to-day operation and maintenance, by the mobile networks such as 4G or Wifi realize workbench, handheld terminal or
LED large-size screen monitors are shown.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711420201.7A CN107991969A (en) | 2017-12-25 | 2017-12-25 | A kind of wisdom tobacco planting management system based on Internet of Things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711420201.7A CN107991969A (en) | 2017-12-25 | 2017-12-25 | A kind of wisdom tobacco planting management system based on Internet of Things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107991969A true CN107991969A (en) | 2018-05-04 |
Family
ID=62041726
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711420201.7A Pending CN107991969A (en) | 2017-12-25 | 2017-12-25 | A kind of wisdom tobacco planting management system based on Internet of Things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107991969A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109361737A (en) * | 2018-09-25 | 2019-02-19 | 四川奥信通科技发展有限公司 | Agricultural supervisory system based on Internet of Things |
| CN109407627A (en) * | 2018-09-04 | 2019-03-01 | 河南省恒景环境科技有限公司 | A kind of intelligence tobacco field management system |
| CN109635347A (en) * | 2018-11-15 | 2019-04-16 | 江苏农林职业技术学院 | A kind of overhead Strawberry in Greenhouse production of intelligent facility virtual emulation platform |
| CN109656207A (en) * | 2018-12-14 | 2019-04-19 | 北京云基物宇科技股份有限公司 | A kind of wisdom tobacco leaf planting analysis and management system based on big data analysis platform |
| CN109975230A (en) * | 2019-05-16 | 2019-07-05 | 北京印刷学院 | Pollutant on-line detecting system and method |
| CN111802061A (en) * | 2019-04-10 | 2020-10-23 | 迪尔公司 | Machine control using real-time models |
| CN112287601A (en) * | 2020-10-23 | 2021-01-29 | 红云红河烟草(集团)有限责任公司 | Method and medium for constructing tobacco leaf quality prediction model by using R language and application |
| CN112801246A (en) * | 2021-01-26 | 2021-05-14 | 厦门海晟融创信息技术有限公司 | Tobacco big data tracking platform under internet of things connection |
| CN113435252A (en) * | 2021-05-27 | 2021-09-24 | 广西壮族自治区烟草公司百色市公司 | Tobacco pest and disease monitoring and early warning method and system based on remote sensing |
| CN114342787A (en) * | 2022-01-24 | 2022-04-15 | 嘉应学院 | Accurate planting management system of tobacco leaf based on thing networking control |
| CN115239081A (en) * | 2022-06-27 | 2022-10-25 | 云南省烟草公司红河州公司 | On-line examination management system and method for tobacco leaf production technical standard |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105241495A (en) * | 2015-08-31 | 2016-01-13 | 中国烟草总公司广东省公司 | Tobacco field temperature and humidity signal acquisition system based on Zigbee |
| CN105631401A (en) * | 2015-12-11 | 2016-06-01 | 中国烟草总公司广东省公司 | Remote sensing and geographic information-based tobacco field tobacco quality monitoring and prediction method |
| CN107272777A (en) * | 2017-06-19 | 2017-10-20 | 中国烟草总公司广东省公司 | The intelligent production method and system of a kind of crops farm work |
| CN109407627A (en) * | 2018-09-04 | 2019-03-01 | 河南省恒景环境科技有限公司 | A kind of intelligence tobacco field management system |
-
2017
- 2017-12-25 CN CN201711420201.7A patent/CN107991969A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105241495A (en) * | 2015-08-31 | 2016-01-13 | 中国烟草总公司广东省公司 | Tobacco field temperature and humidity signal acquisition system based on Zigbee |
| CN105631401A (en) * | 2015-12-11 | 2016-06-01 | 中国烟草总公司广东省公司 | Remote sensing and geographic information-based tobacco field tobacco quality monitoring and prediction method |
| CN107272777A (en) * | 2017-06-19 | 2017-10-20 | 中国烟草总公司广东省公司 | The intelligent production method and system of a kind of crops farm work |
| CN109407627A (en) * | 2018-09-04 | 2019-03-01 | 河南省恒景环境科技有限公司 | A kind of intelligence tobacco field management system |
Non-Patent Citations (3)
| Title |
|---|
| 何勇: "烟站（单元）烟叶管理信息***的研究与设计", 《中国优秀硕士学位论文全文数据库 信息科技辑(月刊)》 * |
| 李文杰: "烟草专家决策支持***的设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑(月刊)》 * |
| 魏梦: "基于物联网的烟草种植环境信息***设计与应用", 《中国优秀硕士学位论文全文数据库 农业科技辑(月刊)》 * |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109407627A (en) * | 2018-09-04 | 2019-03-01 | 河南省恒景环境科技有限公司 | A kind of intelligence tobacco field management system |
| CN109361737A (en) * | 2018-09-25 | 2019-02-19 | 四川奥信通科技发展有限公司 | Agricultural supervisory system based on Internet of Things |
| CN109635347A (en) * | 2018-11-15 | 2019-04-16 | 江苏农林职业技术学院 | A kind of overhead Strawberry in Greenhouse production of intelligent facility virtual emulation platform |
| CN109656207A (en) * | 2018-12-14 | 2019-04-19 | 北京云基物宇科技股份有限公司 | A kind of wisdom tobacco leaf planting analysis and management system based on big data analysis platform |
| CN111802061B (en) * | 2019-04-10 | 2023-09-26 | 迪尔公司 | Mechanical control using real-time models |
| CN111802061A (en) * | 2019-04-10 | 2020-10-23 | 迪尔公司 | Machine control using real-time models |
| CN109975230A (en) * | 2019-05-16 | 2019-07-05 | 北京印刷学院 | Pollutant on-line detecting system and method |
| CN112287601A (en) * | 2020-10-23 | 2021-01-29 | 红云红河烟草(集团)有限责任公司 | Method and medium for constructing tobacco leaf quality prediction model by using R language and application |
| CN112287601B (en) * | 2020-10-23 | 2023-08-01 | 红云红河烟草(集团)有限责任公司 | Method, medium and application for constructing tobacco leaf quality prediction model by using R language |
| CN112801246B (en) * | 2021-01-26 | 2021-10-29 | 厦门海晟融创信息技术有限公司 | Tobacco big data tracking platform under internet of things connection |
| CN112801246A (en) * | 2021-01-26 | 2021-05-14 | 厦门海晟融创信息技术有限公司 | Tobacco big data tracking platform under internet of things connection |
| CN113435252A (en) * | 2021-05-27 | 2021-09-24 | 广西壮族自治区烟草公司百色市公司 | Tobacco pest and disease monitoring and early warning method and system based on remote sensing |
| CN113435252B (en) * | 2021-05-27 | 2023-09-29 | 广西壮族自治区烟草公司百色市公司 | Remote sensing-based tobacco pest monitoring and early warning method and system |
| CN114342787A (en) * | 2022-01-24 | 2022-04-15 | 嘉应学院 | Accurate planting management system of tobacco leaf based on thing networking control |
| CN115239081A (en) * | 2022-06-27 | 2022-10-25 | 云南省烟草公司红河州公司 | On-line examination management system and method for tobacco leaf production technical standard |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107991969A (en) | A kind of wisdom tobacco planting management system based on Internet of Things | |
| CN205594695U (en) | Agricultural intelligent application system based on thing networking | |
| CN109982559A (en) | Control agricultural producing areas | |
| CN106254476A (en) | Agroecological environment information management based on Internet of Things, big data and cloud computing and monitoring method and system | |
| CN104077725B (en) | The monitoring of potato planting Internet of Things, control and information service cloud platform integrated system | |
| Taghvaeian et al. | Irrigation scheduling for agriculture in the United States: The progress made and the path forward | |
| US8671006B2 (en) | System and method for managing and predicting crop performance | |
| CN106054679B (en) | A kind of agriculture intelligent monitor system and crop-planting method based on Internet of Things | |
| Simionesei et al. | IrrigaSys: A web-based irrigation decision support system based on open source data and technology | |
| CN103886409A (en) | Assistant decision making system for agricultural planting | |
| CN104852989A (en) | A smart agriculture monitoring system based on Web of Things | |
| CN105511426A (en) | Automatic processing method, apparatus, and system for crop growth | |
| CN104267674A (en) | Crop adoption service system and method | |
| CN112215716A (en) | Crop growth intervention method, device, equipment and storage medium | |
| CN113273449A (en) | Digital twin body construction method for precise monitoring of sunlight greenhouse | |
| CN112561367A (en) | Intelligent planting decision control system | |
| Yue et al. | Research and application of agricultural internet of things technology in intelligent agriculture | |
| KR102671059B1 (en) | Facility cultivation complex environmental control system | |
| Paraskevopoulos et al. | Integrating soil water monitoring technology and weather based crop modelling to provide improved decision support for sugarcane irrigation management | |
| Anjum et al. | Precision irrigation: challenges and opportunities | |
| Fahad et al. | Regional wheat yield estimation by integration of remotely sensed soil moisture into a crop model | |
| Suciu et al. | IoT agro-meteorology for viticulture disease warning | |
| CN104102806A (en) | Multi-species crop agroclimate regionalization method | |
| Khort et al. | Development of an automated weather complex for managing agricultural technologies in horticulture | |
| Lin et al. | The Design and Application of Intelligent Agricultural Greenhouse in Big Data Era |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180504 |
|
| RJ01 | Rejection of invention patent application after publication |