CN108133006A - A kind of satellite remote sensing product systems of facing agricultural application - Google Patents
A kind of satellite remote sensing product systems of facing agricultural application Download PDFInfo
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- CN108133006A CN108133006A CN201711401134.4A CN201711401134A CN108133006A CN 108133006 A CN108133006 A CN 108133006A CN 201711401134 A CN201711401134 A CN 201711401134A CN 108133006 A CN108133006 A CN 108133006A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
Abstract
The present invention relates to a kind of satellite remote sensing product systems of facing agricultural application, extraction specialty products production algorithm model carries out remote sensing special topic product data filing storage and data management；It provides and is retrieved according to the On-line Product of the options such as administrative region, time, agrotype, product type；The online depth for providing the thematic product information such as pattern of farming, crop area, real-time growing way, process growing way, per unit area yield and the total yields of different crops such as soybean, corn, rice, peanut is excavated, by the remote sensing monitoring product of macroscopic view with the numeral expression of quantification, the intuitive Agriculture Present Situation and development trend for understanding area-of-interest；The operations such as online editing, modification and the download reported the thematic product of statistics are provided；In addition the online ordering and customization for providing industry special topic product service, and provide many-sided demand to data.
Description
Technical field
The present invention relates to a kind of satellite remote sensing product systems of facing agricultural application, belong to satellite remote sensing On-line Product service
Technical field.
Background technology
With the development that 20th century+network technology is advanced by leaps and bounds, it is each that Internet technology with very fast speed penetrates into each row
Industry, the demand of the continuous development and people of Intenet technologies to GIS-Geographic Information System (GIS), is sent out using Intenet on Web
Cloth and publication spatial data, provide spatial data query, inquiry and the function of on-line analysis to the user, have become GIS development
Inexorable trend.It is gradually provided with the monitoring and inverting ability of remote sensing special topic product, current Many researchers rely on WebGIS
Advantage, while utilize database technology combination Spatial Data Engine technological synthesis management remote sensing special topic product, fundamental geological sky
Between the information such as data, it is established that the remote sensing special topic product analysis system of Industry-oriented application.
According to existing documents and materials, domestic and foreign scholars are each in agricultural, forestry, water resource etc. using various Value of Remote Sensing Data
Industry field has carried out numerous studies work, however, being mostly to establish the production that industry special topic product is carried out for satellite remote sensing date
Product process system, export thematic map product, lack intuitive statistical information, can not allow non-remote sensing professional, such as industry
Business personnel directly use；Other researcher is established for meadow, forest or agricultural resource monitor system, provides remote sensing
The on-line analysis function of thematic product, but majority is for fixed area or County Scale, the research of specific time product, reality
It is small with range.Especially the quick obtaining of field-crop information is to carry out the premise and basis of precision agriculture practice with parsing, is prominent
The broken key for restricting Modern Agriculture in China application development bottleneck.
Invention content
The technical problems to be solved by the invention are to provide a kind of satellite remote sensing product systems of facing agricultural application, realize
Facing agricultural field, multistage administrative region, long-term sequence satellite remote sensing special topic On-line Product service system, extract agricultural specially
Product figure useful information is inscribed, a set of system platform directly used for profession personnel is established, efficiently issues in time newest
Monitoring result, the online ordering and customization of product are provided, meet the needs of user is to data.
In order to solve the above-mentioned technical problem the present invention uses following technical scheme：The present invention devises a kind of facing agricultural should
Satellite remote sensing product systems, which is characterized in that include the following steps：
Step A. is monitored by the thematic product data of agricultural, agriculture metadata and Agricultural spatial data three classes for agricultural product
Data carry out system typing, subsequently into step B；
Step B. provides agricultural product monitored data retrieval according to preset data type, and is examined according to target retrieval condition
Rope, and judge whether retrieval result is empty set, it is to enter step；Otherwise C is entered step；
Step C. for retrieval result data carry out depth data excavate statistics, obtain retrieval data analysis statistical as a result,
And enter step D；
Step D. is according to retrieval data analysis statistical as a result, the specialist paper of agricultural product corresponding to generation retrieval；
Agricultural product of the step E. corresponding to for target retrieval condition carry out data acquisition in the way of step A and are
System typing.
As a preferred technical solution of the present invention：The thematic product data of agricultural in the step A include agricultural and make
Object growing way data, agricultural crops pattern of farming data and agricultural crops yield data.
As a preferred technical solution of the present invention：The agricultural crops growing way data, in crop growth season not
Upgrowth situation with timing node is assessed in real time and the comprehensive assessment of entire growth course, real-time growing way are based on certain
Either the NDVI average values in a certain year and the difference of doing of other times NDVI highests or average value carry the NDVI values at one moment
It takes, it is poor that difference is carried out, slightly worse, maintains an equal level, slightly good, the division of five threshold values obtains the spatial distribution result of real-time growing way；It crosses
Journey growing way is for a certain administrative region, such as province, city, county, is weighted averagely using the NDVI and arable land of this area, obtaining should
The synthesis growing way value of the more time serieses in region.
As a preferred technical solution of the present invention：The agricultural crops pattern of farming data, are known using Classification in Remote Sensing Image
Not with ground, sample investigation, which is combined, classifies to area crops type, obtains Crop spatial distribution situation and makees object plane
Product, is stored in the form of subsidiary XML file.
As a preferred technical solution of the present invention：The agricultural crops yield data, it is single that crop yield includes crop
Production and total yield estimate GPP, i.e. gross primary productivity using light use efficiency model EC-LUE, finally calculate the work of each pixel
Object per unit area yield value obtains the single rate of each production area same type by being averaging；According to multiplying for crop area and crop yield
Product calculates the overall crop yield in research area.
As a preferred technical solution of the present invention：In the step A, agriculture metadata is to be advised according to product metadata
The XML texts that model defines；Agricultural spatial data includes the Fundamental Geographic Information Systems such as national boundaries, administrative division, place name, road network, unified to make
Determine regional code form.
As a preferred technical solution of the present invention：In the step B, according to agricultural crops type, agricultural special topic production
Category type, time, administrative region provide agricultural product monitored data retrieval.
As a preferred technical solution of the present invention：In the step C, depth data is carried out for retrieval result data
Excavate statistics, obtain retrieval data analysis statistical as a result, including the real-time growing way of crop, crop process growing way, Crop Planting Structure,
Crop yield.
As a preferred technical solution of the present invention：The real-time growing way of crop：To the growing way of crop according to poor, slightly
Poor, fair, slightly good five kinds of grades of becoming reconciled, are shown the growing way space distribution situation in region with different rendered colors, point
The crop area of some area-of-interest is not counted, fully understands the whole growing way situation of crop；
The crop process growing way：To the process growing ways of multiple regions or the entire Growing season of certain crop of multiple times into
Row statistics, according to crops planting area calculate overall region growing way weighted average, to process growing way in the form of quantifying into
Row shows；
The Crop Planting Structure：Region Different Crop with different colors is rendered, describes the space point of crop
Cloth situation provides multizone or for many years area statistics of part Different Crop；
The crop yield：Multizone or for many years statistics of the per unit area yield of part Different Crop and total yield are provided, it is long to provide crop
The online regression model of gesture, area and yield is established, and forecast analysis is carried out to region crop yield trend.
The satellite remote sensing product systems of a kind of facing agricultural application of the present invention, using above technical scheme and existing skill
Art is compared, and has following technique effect：
The present invention is capable of providing the legal of information before the standardization processing and storage of Industry-oriented remote sensing special topic product format
Property verification and online retrieving function, different online retrievings and download with previous satellite remote sensing standard video product；
(2) exist the present invention provides a set of for main crops production, crop growing state and crop yield special topic product
Line depth excavates mode and Production Forecast Models, and intuitive agricultural is provided using number for non-remote sensing professional in the form of quantification
It is believed that breath；
(3) the present invention provides a set of Support agriculture special topic product from filing storage, online retrieving, online depth excavation,
Report makes, orders customization one-stop service system, meets many-sided demand of the user to data.
Description of the drawings
Fig. 1 is the flow chart of the satellite remote sensing product systems of facing agricultural application of the present invention；
Fig. 2 is agricultural special topic On-line Product search interface effect exemplary plot in the present invention；
Fig. 3 is agricultural special topic product accounting assay surface exemplary plot in the present invention；
Fig. 4 is that agricultural special topic On-line Product orders flow chart in the present invention；
Fig. 5 is agricultural special topic On-line Product customization flow chart in the present invention.
Specific embodiment
The specific embodiment of the present invention is described in further detail with reference to the accompanying drawings of the specification.
As shown in Figure 1, the present invention devises a kind of satellite remote sensing product systems of facing agricultural application, practical application is worked as
In, specifically comprise the following steps：
Step A. is monitored by the thematic product data of agricultural, agriculture metadata and Agricultural spatial data three classes for agricultural product
Data carry out system typing, subsequently into step B.
The thematic product data of agricultural in above-mentioned steps A, the thematic product data of agricultural of primary recipient production, are provided to production
The unified storage and management of product data.Data receiver is the beginning of whole flow process, receives the ftp for starting a data receiver
Server, whether moment monitoring has data to send over, once there is new data arrival, first judges whether current memory space is sufficient
Enough, if insufficient memory, system just performs data according to scheduled service logic and removes automatically, until memory space is enough
Newly arrived data are accommodated, all set after memory space, whether system can also further judge the storage catalogue of data
In the presence of, if there is no need first according to set catalogue generation strategy by storage organization management module complete to store mesh
In the case that the generation of record, only memory space and storage catalogue all meet, system can just perform file and preserve operation
In concrete application, design the thematic product data of agricultural and include agricultural crops growing way data, agricultural crops pattern of farming
Data and agricultural crops yield data, wherein, agricultural crops growing way data, the life to different time node in crop growth season
Long situation is assessed in real time and the comprehensive assessment of entire growth course, and real-time growing way is the NDVI values based on a certain moment,
Either the NDVI average values in a certain year and other times NDVI highests or average value do difference extraction, and it is poor that difference is carried out,
It is slightly worse, maintain an equal level, slightly good, the division of five threshold values obtains the spatial distribution result of real-time growing way；Process growing way is for a certain
Administrative region such as province, city, county, is weighted averagely using the NDVI and arable land of this area, obtains the more time serieses in the region
Comprehensive growing way value.
Agricultural crops pattern of farming data are identified using Classification in Remote Sensing Image and are combined with ground sample investigation to area crops kind
Class is classified, and is obtained Crop spatial distribution situation and crop area, is stored in the form of subsidiary XML file.
Agricultural crops yield data, crop yield include crop yield and total yield, utilize light use efficiency model EC-LUE
It estimates GPP, i.e. gross primary productivity, finally calculates the crop yield value of each pixel, each production district is obtained by being averaging
The single rate of domain same type；According to the product of crop area and crop yield, the overall crop yield in research area is calculated.
Agriculture metadata is the XML texts defined according to product metadata specification, wherein, system before agriculture metadata storage
Legitimacy verifies can be carried out for the agriculture metadata that will be put in storage, if by checking, system is automatic according to set logic
Agricultural metadata being imported into the corresponding library table of agriculture metadata, miscue is not provided if if checked.
Agricultural spatial data is managed the geographical spatial datas such as data query base map, administrative polar plot, carries out space
When basic data in-stockroom operation, spatial data management module can carry out legitimacy to the basic data that each will be put in storage
It checks, the foundation of inspection is basic data metadata or spatial data specification, and system can check the basic data (ratio of importing
Such as：Shp files) each field value whether meet set standard, only can just imported into data by the data of inspection
In library, if cannot be by checking, system if, can provide corresponding user's prompting, and basic spatial database storage is one and follows repeatedly
The process of ring, until all foundation class datas are all directed in database.In concrete application, including national boundaries, administrative division,
The Fundamental Geographic Information Systems such as place name, road network are unified to formulate regional code form.
Step B. roots provide agricultural product prison according to agricultural crops type, the thematic product type of agricultural, time, administrative region
Measured data is retrieved, and retrieval schematic diagram according to target retrieval condition as shown in Fig. 2, and retrieved, and whether judge retrieval result
For empty set, it is, enters step；Otherwise C is entered step.
Wherein, online retrieving base map：Support two kinds of conversion regimes of image map and Vector Topographic Map；
Crop type：Corn and soybean, peanut, rice, cotton；
Thematic product type：It is consistent with storage product data type；
Time：Selection based on time ten days on days is provided；
Administrative region：It supports to choose mode according to province, city, county administrative region.
Step C. for retrieval result data carry out depth data excavate statistics, obtain retrieval data analysis statistical as a result,
Including the real-time growing way of crop, crop process growing way, Crop Planting Structure, crop yield, as shown in figure 3, subsequently into step D.
In above-mentioned steps C, the real-time growing way of crop：It becomes reconciled five kinds etc. according to poor, slightly worse, fair, slightly good to the growing way of crop
Grade, is shown the growing way space distribution situation in region with different rendered colors, counts some area-of-interest respectively
Crop area fully understands the whole growing way situation of crop.
Crop process growing way：It unites to the process growing way of multiple regions or the entire Growing season of certain crop of multiple times
Meter calculates the weighted average of overall region growing way according to crops planting area, process growing way is opened up in the form of quantifying
It is existing.
Crop Planting Structure：Region Different Crop with different colors is rendered, describes the spatial distribution feelings of crop
Condition provides multizone or for many years area statistics of part Different Crop.
Crop yield：Multizone or for many years statistics of the per unit area yield of part Different Crop and total yield are provided, crop growing state, face are provided
The online regression model of product and yield is established, and forecast analysis is carried out to region crop yield trend.
Step D. is according to retrieval data analysis statistical as a result, the specialist paper of agricultural product corresponding to generation retrieval, and provides
Retrieval and is locally-downloaded online ordering.
In above-mentioned steps D, user clicks generation report button in the statistical analysis page, and it is online that the page automatic jumps to report
Edit page, thematic map and statistical result in the automatic loaded and displayed statistical analysis page of the page, adds the report of generation online
Add explanatory note, report is provided and exports to word functions；
The query and search function of reporting historical archive is provided, and provides and the report of retrieval is downloaded, is changed, is uploaded
Etc. functions.
For the online ordering of agricultural product specialist paper corresponding to above-mentioned retrieval and it is locally-downloaded specific as follows：
After user's accessing system, the clear of thematic product is carried out according to thematic product information list and thematic product query result
It lookes at and checks, shopping cart can be directly appended to needs or interested data, carry out the order of product data, order flow
Figure is as shown in figure 4, thematic product subscription process description is as follows：
A. thematic product data inquiry：User inputs the inquiries such as thematic product type, agrotype, time, administrative region
Condition inquires thematic product metadata information.Judge database connection status, if connection is abnormal, record failure cause
To daily record, error message is prompted in UI, user logs in again.If connection is normal, data directory is inquired according to user role.Such as
Fruit can find the thematic product metadata information for meeting querying condition, with regard to carrying out thematic product subscription flow, if can not find out
Thematic product metadata information just carries out product customization flow.
B. thematic product data order is generated：It is inquired by product data, selects to want to order in query result list
Thematic product data be added in shopping cart, the product data information in shopping cart is carried (including order purposes information)
It hands over, generates thematic product subscription list information.After order is successfully submitted, order status is revised as " waiting for ".
C. order form is audited：If the audit fails for order, order status is revised as " failing ", and sends E- to user
Mail is notified.If user orders again, order retransmits.If without ordering again, order flow terminates.If it orders
Single audit passes through, and order status is revised as " in processing ".
D. thematic product data order is sent：The thematic product data sequence information generated is audited, for
It audits the information passed through and carries out order filter operation.
E. thematic product data information is received：It receives production system and pushes the thematic product data to come and push completion and lead to
Know, and give production feedback.If thematic product reception failure, modification order status is " failure ", and E-mail notifies user, stream
Journey terminates.If thematic product receives successfully, continue to walk charging flow.
F. thematic product charging audit：If it is free to have received payment or order, establishes thematic product and download
Link, order status is revised as " completing ", and E-mail notifies user, and flow terminates.
Agricultural product of the step E. corresponding to for target retrieval condition carry out data acquisition in the way of step A and are
System typing inputs related customized parameter, such as region, time, agrotype, thematic product, resolution ratio content, carries out product
The customization of data, customization flow chart is as shown in figure 5, thematic product customization process description：
I. thematic product data inquiry：User inputs the inquiries such as thematic product type, time, agrotype, administrative region
Condition inquires thematic product metadata information.Judge database connection status, if connection is abnormal, record failure cause
To daily record, error message is prompted in UI, user logs in again.If connection is normal, data directory is inquired according to user role.Such as
Fruit can find the thematic product metadata information for meeting querying condition, with regard to carrying out thematic product subscription flow, if can not find out
Thematic product metadata information just carries out product customization flow.
II. it is single to generate thematic product data customization：It is inquired by product data, it is fixed to select to want in query result list
The thematic product data of system are added in shopping cart, and the product data information (including order purposes information) in shopping cart is carried out
It submits, generates thematic product customization list information.After order is successfully submitted, order status is revised as " waiting for ".
III. the single audit of customization：If the audit fails for order, order status is revised as " failing ", and sends E- to user
Mail is notified.If user orders again, order retransmits.If without ordering again, order flow terminates.If it orders
Single audit passes through, and order status is revised as " in processing ".
IV. it is single to send thematic product data customization：The thematic product data order information generated is audited,
Order filter operation is carried out for the information that audit passes through.
VI. thematic product data information is received：Receive thematic product data and the push completion that production system push comes
Notice, and give production feedback.If thematic product reception failure, modification order status is " failure ", and E-mail notifies user,
Flow terminates.If thematic product receives successfully, continue to walk charging flow.
VII. thematic product charging audit：If it is free to have received payment or order, establish under thematic product
Link is carried, order status is revised as " completing ", and E-mail notifies user, and flow terminates.
Embodiments of the present invention are explained in detail above in conjunction with attached drawing, but the present invention is not limited to above-mentioned implementations
Mode, within the knowledge of a person skilled in the art, can also be under the premise of present inventive concept not be departed from
Make various variations.
Claims (9)
1. a kind of satellite remote sensing product systems of facing agricultural application, which is characterized in that include the following steps：
Step A. is by the thematic product data of agricultural, agriculture metadata and Agricultural spatial data three classes, for agricultural product monitoring data
Carry out system typing, subsequently into step B；
Step B. provides agricultural product monitored data retrieval according to preset data type, and is retrieved according to target retrieval condition,
And judge whether retrieval result is empty set, it is to enter step；Otherwise C is entered step；
Step C. carries out depth data for retrieval result data and excavates statistics, obtains retrieval data analysis statistical as a result, going forward side by side
Enter step D；
Step D. is according to retrieval data analysis statistical as a result, the specialist paper of agricultural product corresponding to generation retrieval；
Agricultural product of the step E. corresponding to for target retrieval condition carry out data acquisition and system record in the way of step A
Enter.
2. the satellite remote sensing product systems of facing agricultural application according to claim 1, it is characterised in that：The step A
In the thematic product data of agricultural include agricultural crops growing way data, agricultural crops pattern of farming data and agricultural crops yield number
According to.
3. the satellite remote sensing product systems of facing agricultural application according to claim 2, it is characterised in that：The agricultural is made
Object growing way data are assessed the upgrowth situation of different time node in crop growth season and were entirely grown in real time
The comprehensive assessment of journey, real-time growing way are the NDVI average values and other times of NDVI values or a certain year based on a certain moment
NDVI highests or average value do difference extraction, and it is poor that difference is carried out, slightly worse, fair, slightly good, the division of five threshold values,
Obtain the spatial distribution result of real-time growing way；Process growing way is for a certain administrative region, such as province, city, county, utilizes this area
NDVI and arable land are weighted the synthesis growing way value for averagely, obtaining the more time serieses in the region.
4. the satellite remote sensing product systems of facing agricultural application according to claim 2, it is characterised in that：The agricultural is made
Species plant structured data, are combined with ground sample investigation using Classification in Remote Sensing Image identification and classified to area crops type, obtained
Object space distribution situation and crop area are taken as, is stored in the form of subsidiary XML file.
5. the satellite remote sensing product systems of facing agricultural application according to claim 2, it is characterised in that：The agricultural is made
Object yield data, crop yield include crop yield and total yield, and GPP is estimated using light use efficiency model EC-LUE, i.e., total first
Grade productivity, finally calculates the crop yield value of each pixel, and the per unit area yield of each production area same type is obtained by being averaging
Amount；According to the product of crop area and crop yield, the overall crop yield in research area is calculated.
6. the satellite remote sensing product systems of facing agricultural application according to claim 1, it is characterised in that：The step A
In, agriculture metadata is the XML texts defined according to product metadata specification；Agricultural spatial data include national boundaries, administrative division,
The Fundamental Geographic Information Systems such as place name, road network are unified to formulate regional code form.
7. the satellite remote sensing product systems of facing agricultural application according to claim 1, it is characterised in that：The step B
In, according to agricultural crops type, the thematic product type of agricultural, time, administrative region, provide agricultural product monitored data retrieval.
8. the satellite remote sensing product systems of facing agricultural application according to claim 1, it is characterised in that：The step C
In, it carries out depth data for retrieval result data and excavates statistics, obtain retrieval data analysis statistical as a result, real-time including crop
Growing way, crop process growing way, Crop Planting Structure, crop yield.
9. the satellite remote sensing product systems of facing agricultural application according to claim 8, it is characterised in that：The crop is real
When growing way：To the growing way of crop according to poor, slightly worse, fair, slightly good five kinds of grades of becoming reconciled, with different rendered colors to region
Growing way space distribution situation is shown, and counts the crop area of some area-of-interest respectively, fully understands the entirety of crop
Growing way situation；
The crop process growing way：It unites to the process growing way of multiple regions or the entire Growing season of certain crop of multiple times
Meter calculates the weighted average of overall region growing way according to crops planting area, process growing way is opened up in the form of quantifying
It is existing；
The Crop Planting Structure：Region Different Crop with different colors is rendered, describes the spatial distribution feelings of crop
Condition provides multizone or for many years area statistics of part Different Crop；
The crop yield：Multizone or for many years statistics of the per unit area yield of part Different Crop and total yield are provided, crop growing state, face are provided
The online regression model of product and yield is established, and forecast analysis is carried out to region crop yield trend.
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| CN109509112A (en) * | 2018-10-31 | 2019-03-22 | 武汉珈和科技有限公司 | Global soybean and main maize area yield assessment method and system based on MODIS NDVI |
| CN110210408A (en) * | 2019-06-04 | 2019-09-06 | 黑龙江省七星农场 | Plant growth forecasting system and method based on satellite in conjunction with unmanned aerial vehicle remote sensing |
| CN110335158A (en) * | 2019-06-24 | 2019-10-15 | 中国科学院遥感与数字地球研究所 | Diseases and pests of agronomic crop setting loss Claims Resolution method and system |
| CN110348314A (en) * | 2019-06-14 | 2019-10-18 | 中国资源卫星应用中心 | A kind of method and system using multi- source Remote Sensing Data data monitoring vegetation growing way |
| CN110413618A (en) * | 2019-07-30 | 2019-11-05 | 中国农业科学院棉花研究所 | A kind of cotton plant trait information data processing system and method based on mobile terminal |
| CN111080317A (en) * | 2019-12-16 | 2020-04-28 | 榆林学院 | Agricultural product quality safety early warning system |
| CN112598018A (en) * | 2019-10-02 | 2021-04-02 | Abb瑞士股份有限公司 | Method, apparatus, system, and readable storage medium for estimating a prediction |
| CN112966967A (en) * | 2021-03-26 | 2021-06-15 | 北京亿耘科技有限公司 | Ecological monitoring report generation method, server and storage medium |
| CN114510528A (en) * | 2022-02-15 | 2022-05-17 | 平安科技（深圳）有限公司 | Crop yield display method, device electronic equipment and storage medium |
| CN116195420A (en) * | 2023-03-02 | 2023-06-02 | 上海华维可控农业科技集团股份有限公司 | Water and fertilizer integration-based intelligent farmland irrigation system and method |
| CN116303809A (en) * | 2022-11-29 | 2023-06-23 | 自然资源部国土卫星遥感应用中心 | Satellite image data management method and management system |
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| CN112966967A (en) * | 2021-03-26 | 2021-06-15 | 北京亿耘科技有限公司 | Ecological monitoring report generation method, server and storage medium |
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| CN116195420A (en) * | 2023-03-02 | 2023-06-02 | 上海华维可控农业科技集团股份有限公司 | Water and fertilizer integration-based intelligent farmland irrigation system and method |
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