CN109670002A - A kind of multi-C representation method of farmland field information - Google Patents
A kind of multi-C representation method of farmland field information Download PDFInfo
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Abstract
A kind of multi-C representation method of farmland field information, comprising: the farmland geography information is stored in the field database of farmland by the farmland geography information that the farmland field of pixel expression is obtained by satellite remote-sensing image with the data structure of character types；The farmland weather information that setting order of magnitude field is obtained by meteorological satellite image, the farmland weather information is stored in data format in the farmland field database；Farmland field job information is obtained by the multiple sensors being mounted on agricultural machinery, the farmland field job information is sent by the interface of the multiple sensors respectively, and be stored in the farmland field database；After the farmland geography information, farmland weather information and the farmland field job information that are stored in the farmland field database are regenerated multidimensional farmland field information, it is stored in the farmland field database, and shows the multidimensional farmland field information.
Description
Technical field
The present invention relates to precision agriculture application technology, especially a kind of multi-C representation based on the farmland WebGis field information
Method.
Background technique
Agricultural land information is to ensure that the key message of agricultural high-effiency production, only stops in traditional sense to the description of agricultural land information
In the description of the fields essential attributes such as field number, field area, field ownership people, field type, due to technology and cognition
Problem lacks the expression to multidimensional datas such as the long-term cropping of field, field attachment, field operation, field weather informations, and
These information are very great to the volume increase meaning of crops.In addition, many areas can acquire out many effective agricultures at present
Field information, the data for acquiring out can not be utilized efficiently, without the value of abundant mining data behind, so as to cause serious
Data resource waste.
Summary of the invention
It is a kind of based on WebGis's the technical problem to be solved by the present invention is in view of the above drawbacks of the prior art, provide
Farmland field information multi-C representation method carries out the expression of multidimensional agricultural land information, so as to sufficiently show the detailed letter in farmland
Breath, provides technical support for precision agriculture and agricultural machinery self-navigation.
To achieve the goals above, the present invention provides a kind of multi-C representation methods of farmland field information, wherein including
Following steps:
S100, acquisition farmland geography information are obtained as the basic foundation for judging field attribute by satellite remote-sensing image
The farmland geography information of the farmland field of pixel expression, the farmland geography information is stored in the data structure of character types
In the field database of farmland；
S300, farmland weather information is obtained, is believed by the farmland meteorology that meteorological satellite image obtains setting order of magnitude field
Breath, the farmland weather information is stored in data format in the farmland field database；
S500, farmland field job information is obtained, obtains farmland field by the multiple sensors being mounted on agricultural machinery
Block job information sends the farmland field job information by the interface of the multiple sensors respectively, and is stored in described
In the field database of farmland；And
S700, multidimensional farmland field information is generated, by the farmland being stored in farmland field database geography
After information, farmland weather information and the farmland field job information regenerate multidimensional farmland field information, it is stored in described
In the field database of farmland, and show the multidimensional farmland field information.
The multi-C representation method of above-mentioned farmland field information, wherein after step sloo, further includes:
S200, amendment farmland geography information, the farmland that the satellite remote-sensing image of areal different time is obtained
The true farmland geography information of geography information and corresponding field is compared, then to the setting geography information in the corresponding field
After being marked, forms amendment farmland geography information and be stored in the farmland field database.
The multi-C representation method of above-mentioned farmland field information, wherein the farmland geography information includes field position letter
Breath and field attachment information, the field location information includes longitude, latitude, height above sea level and/or the gradient of field, the field
Attachment information includes well, ridge, river and/or field hole in field, and the setting geography information includes the longitude and latitude of well
Degree, the Local Convex concave contour of the longitude and latitude of electric pole, field, local convex-concave field longitude and latitude and/or the field gradient.
The multi-C representation method of above-mentioned farmland field information, wherein before step S700, further includes:
After the completion of S600, all Information Collecting & Processings, closure, connectivity and its week of processed field target are checked
The consistency of attribute between the target of side, and new multidimensional farmland field information is generated, it is stored in the farmland field lane database.
The multi-C representation method of above-mentioned farmland field information, wherein field information is shot by unmanned plane low latitude, and is answered
The consistent of attribute between the closure, connectivity and its peripheral object of processed field target is checked with image processing techniques identification
Property.
The multi-C representation method of above-mentioned farmland field information, wherein the remotely-sensed data of the satellite remote-sensing image includes
Basic administrative division data and remote sensing monitoring data, the remote sensing monitoring data include geographical location information, information acquiring pattern,
Type, image capturing time, resolution ratio and/or the data origin information of image capturing sensor.
The multi-C representation method of above-mentioned farmland field information, wherein the amendment farmland geography information includes passing through
WebGIS puts a mark on the map to field information, and existing remotely-sensed data is collectively labeled as initial data before amendment, is passed through
The Target space position information for changing the initial data obtains amendment data.
The multi-C representation method of above-mentioned farmland field information, wherein the amendment data pass through hand held GPS receiver reality
Ground acquires the farmland geography information of farmland field and its attribute obtains real time data, carries out precision to each real time data and tests
Card, until meeting the data precision requirement of setting.
The multi-C representation method of above-mentioned farmland field information, wherein the farmland weather information is by jquery
Ajax method is shown in corresponding farmland field after requesting weather api data, the json data of return voluntarily to parse, described
Farmland weather information includes type, weather information acquisition time and/or the weather information data for obtaining the sensor of weather information
Source.
The multi-C representation method of above-mentioned farmland field information, wherein the farmland field job information includes chiselling
The plantation knot of quantity, Shi Shuifei and the volume of application, field crop yield and/or crops that depth, the field of earth are sowed
Structure and spatial distribution characteristic.
The technical effects of the invention are that:
1) pass through WebGis technology, technology of Internet of things, the height fusion of sensor technology, by the geographical location letter of field
Breath, the attachment information of farmland field, the weather information of field and the job information of field are stored in real time with data mode,
These data can provide the analysis and decision-making foundation ploughing, plant, managing, receive links of crops, realize that water-saving, section is fertile, mention
The output ratio of high crops；
2) volume that can be administered from the crops of lane database real time inspection field, analyzing these data can be effective
Solution for different crops spray value number；Further optimization, can detecte the persticide residue of crops, can integrate
Above data analysis carries out crops and is administered decision, and the remaining pesticide concentration of crops is effectively reduced, improves the production of crops
Quality；
3) the ground attachment information of field is stored with data mode, is provided to unpiloted agricultural machinery high-precision
" eyes " of degree are significant to the development of the unmanned technology in farmland.
Below in conjunction with the drawings and specific embodiments, the present invention will be described in detail, but not as a limitation of the invention.
Detailed description of the invention
Fig. 1 is the farmland field information multi-C representation method flow diagram of one embodiment of the invention；
Fig. 2 is the multi-C representation farmland field information schematic diagram of one embodiment of the invention.
Wherein, appended drawing reference
S100-S700 step
Specific embodiment
Structural principle and working principle of the invention are described in detail with reference to the accompanying drawing:
It is the farmland field information multi-C representation method flow diagram of one embodiment of the invention referring to Fig. 1, Fig. 1.Of the invention
The multi-C representation method of farmland field information, comprising the following steps:
Step S100, farmland geography information is obtained as the basic foundation for judging field attribute pass through satellite remote-sensing image
The farmland geography information for obtaining the farmland field of pixel expression, by the farmland geography information with the data knot of appropriate character types
Structure is stored in farmland field database (preferably PostgreSQL database), wherein the remote sensing number of the satellite remote-sensing image
According to the step that need to prepare, including basic administrative division data and remote sensing monitoring data, the remote sensing monitoring data include geographical position
Confidence breath, information acquiring pattern, the type of image capturing sensor, image capturing time, resolution ratio and/or data source letter
Breath；The farmland geography information of farmland field includes field longitude, dimension, height above sea level and field profile (field boundary point position
Coordinate) geography information etc.；
Step S300, farmland weather information is obtained, the farmland gas of setting order of magnitude field is obtained by meteorological satellite image
The farmland weather information is stored in the farmland field database by image information in data format, the farmland meteorology letter
Breath is to be shown in correspondence after requesting weather api data, the json data of return voluntarily to parse by the ajax method of jquery
Farmland field on, the farmland weather information include obtain weather information sensor type, weather information acquisition time
The weather information data source and/or；Such as the weather information of 1km*1km grades of fields can be obtained by meteorological satellite image, it is meteorological
Information shows temperature, humidity, illumination, wind speed, wind direction etc. in the form of data, and is stored with certain data format
Come in case calling at any time；
Step S500, farmland field job information is obtained, obtains agriculture by the multiple sensors being mounted on agricultural machinery
Field field job information sends the farmland field job information by the interface of the multiple sensors respectively, and is stored in
In the farmland field database, the farmland field job information includes the depth of Subsoiling, the quantity of field sowing, applies
Liquid manure and the volume of application, the pattern of farming of field crop yield and/or crops and spatial distribution characteristic etc., these information
It can be measured by the indexs such as the plantation classifications of crops and the planting density of crops；The yield of field not only contains field
Per mu yield, also include unit area (1m2) field yield, the yield spatial distribution map of the field can be generated on this basis,
Field yield spatial distribution map can generate by the following method: by installing cereal pressure type sensor, the sensor on harvester
It can know that the yield of some position of field, system get off these data storages, handling these data by webgis can be with
Generate the figure of a field output distribotion；The agreement that data transmission interface transmits data is http agreement, i.e., to specified url,
Json data are sent by get method；Such as it can be by installing different types of sensor on the agricultural machinery of field operation
To obtain the job information of field；Such as in subsoiling, mechanically mounted angle sensor obtains the depth of Subsoiling；It is sowing
Sensor is installed to record the quantity of field sowing on machine；In Shi Shuiji, fog machine is installed flow sensor respectively and is applied to obtain
Liquid manure, application volume；Cereal pressure type sensor is installed on harvester to obtain field crop yield；By these data
Web server end is sent to by the interface of sensor and is stored in the database；
Step S700, multidimensional farmland field information is generated, the farmland in the farmland field database will be stored in
After geography information, farmland weather information and the farmland field job information regenerate multidimensional farmland field information, it is stored in
In the farmland field database, and WebGis (network geographic information system) is combined, javaWeb technology is by the multidimensional farmland
Field information, which is shown, to be showed.The step of data are presented includes: that PostgreSQL lane database data are passed through open source
SpringMVC frame is showed in the form of jsp technology.
In the present embodiment, after step sloo, it may also include that
Step S200, farmland geography information is corrected, described in the satellite remote-sensing image acquisition by areal different time
The true farmland geography information of farmland geography information and corresponding field is compared, then geographical to the setting in the corresponding field
After information is marked, forms amendment farmland geography information and be stored in the farmland field database.Such as nothing can be used
Man-machine low latitude shoots field information, identifies field target by image processing techniques, by being compared with satellite remote sensing picture,
To obtain the coordinate of target position, then more new database.
Wherein, the farmland geography information includes field location information and field attachment information, the field position letter
Breath includes longitude, latitude, height above sea level and/or the gradient of field, the field attachment information include well in field, ridge,
River and/or field hole, it is described setting geography information include the longitude and latitude of well, the longitude and latitude of electric pole, field local convex-concave
The longitude and latitude and/or the field gradient of profile, local convex-concave field.The amendment farmland geography information includes by WebGIS to field
Block message puts a mark on the map, and existing remotely-sensed data is collectively labeled as initial data before amendment, by changing the original
The Target space position information of beginning data obtains amendment data.The amendment data acquire agriculture by hand held GPS receiver on the spot
The farmland geography information and its attribute of field field obtain real time data, carry out precision test to each real time data, until
Until the data precision requirement for meeting setting.The modified field database information is other than the essential information of foregoing description
It further include the technological means and method that put a mark on the map by WebGIS to field information.It is right during correcting process
Processed target, which will do it label, can also make necessary explanatory note to corresponding target at the same time, will before amendment
Some remotely-sensed datas are collectively labeled as initial data and are denoted as Initial, are reached by changing the spatial positional information of Initial target
To amendment data purpose data are denoted as Newest at this time.When correcting on the spot, amendment people needs hand held GPS receiver to acquire field on the spot
Block and its attribute data, each data have precision test, precision it is undesirable in the case where need to be rejudged, until
Until meeting data precision requirement.The validation criteria of data precision is that lane database defines, if it exceeds database defines
Precision, database voluntarily can verify and report an error.It can be by the true of areal different time remote sensing image information and field
Real information compares amendment field information, then smaller to target in field but to biggish information (such as water of impact of agricultural production
Profile, longitude and latitude and the field gradient etc. of the more local field of well, the longitude and latitude of electric pole, convex-concave) it is marked
Remember and shows its information is detailed in the database.
Before step S700, it may also include that
Step S600, after the completion of all Information Collecting & Processings, check the closure of processed field target, connectivity and
Then the consistency of attribute between its peripheral object generates the data of new multidimensional agricultural land information, is stored in lane database.It can pass through
Unmanned plane low latitude shoots field information, and the identification of application image processing technique checks the closure of processed field target, connects
The consistency of attribute between the general character and its peripheral object；Weather api data are requested using the ajax method of jquery, return
Json data can be shown in field after voluntarily parsing by the equipment of server end, and specific json parsing refers to weather
The format dress of data is changed to the format that PostgreSQL database can store.Check processing mode can include: check processing target
It is anisotropic with the attribute difference of surrounding objects, merge side identical with field type adjacent target, decomposes through point, line connection or do not connect
Whether logical target polygon, necessary explanatory note mark are reasonable etc..
Referring to fig. 2, Fig. 2 is the multi-C representation farmland field information schematic diagram of one embodiment of the invention.Farmland of the invention
The multi-C representation method of field information is realized based on WebGis (network geographic information system).Its multidimensional data information included
It mainly include field location information, field attachment information, field weather information, field job information；The field position letter
Breath includes: longitude, latitude, height above sea level, the gradient；The field attachment information includes: well, ridge, river, field hole；The field
Block weather information includes temperature, humidity, intensity of illumination；The field job information includes field farming information, field sowing letter
Breath, field management information, field production information；These multidimensional information can all save in the form of data.
The operation principle of the present invention is that: obtained first by satellite remote-sensing image pixel expression comprising field longitude,
The geography information of dimension, height above sea level and field profile, then the information is pre-processed, redundancy is rejected, is then passed through
Amendment field information is compared to the real information of areal different time remote sensing image information and field, then in field
Target is smaller but to the biggish information of impact of agricultural production (the more local field of such as longitude and latitude of well, electric pole, convex-concave
Profile, longitude and latitude and field gradient of block etc.) it is marked and is stored in its information according to certain data structure
PostgreSQL lane database, it is detailed in the database to show, as the foundation for judging field attribute；It is distant to update satellite
Feel image in target it is small but to the biggish information of impact of agricultural production such as: well, ridge, field recess etc.；Pass through meteorology
Satellite image obtains the weather information of 1km*1km grades of fields, and weather information is by temperature, humidity, illumination, wind speed, wind direction etc. with number
According to form show, and stored with certain data format in case call at any time；Pass through the agricultural in field operation
Different types of sensor is mechanically installed to obtain the job information of field, receives the farming information of field, planting information, apply
Water, fertilising, application information and the production information of crop；Such as in subsoiling, mechanically mounted angle sensor obtains Subsoiling
Depth；Sensor is installed on seeder to record the quantity of field sowing；In Shi Shuiji, fog machine installs flow biography respectively
Sensor applies the volume of liquid manure, application to obtain；Cereal pressure type sensor is installed on harvester to obtain field farming produce
Amount, and web server end is sent by the interface of sensor by these data and is stored in the database；When all information are adopted
After the completion of collection processing, the consistency of attribute between the closure, connectivity and its peripheral object of processed field target is checked, so
The data for generating new multidimensional agricultural land information afterwards, are stored in lane database.Finally combine WebGis, javaWeb technology by these
Data visualization shows.
Certainly, the present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, ripe
It knows those skilled in the art and makes various corresponding changes and modifications, but these corresponding changes and change in accordance with the present invention
Shape all should fall within the scope of protection of the appended claims of the present invention.
Claims (10)
1. a kind of multi-C representation method of farmland field information, which comprises the following steps:
S100, acquisition farmland geography information obtain pixel by satellite remote-sensing image as the basic foundation for judging field attribute
The farmland geography information is stored in farmland with the data structure of character types by the farmland geography information of the farmland field of expression
In field database；
S300, farmland weather information is obtained, the farmland weather information of setting order of magnitude field is obtained by meteorological satellite image, it will
The farmland weather information is stored in data format in the farmland field database；
S500, farmland field job information is obtained, obtains farmland field by the multiple sensors being mounted on agricultural machinery and makees
Industry information sends the farmland field job information by the interface of the multiple sensors respectively, and is stored in the farmland
In field database；And
S700, generate multidimensional farmland field information, by the farmland geography information being stored in the farmland field database,
After farmland weather information and the farmland field job information regenerate multidimensional farmland field information, it is stored in the farmland field
In block database, and show the multidimensional farmland field information.
2. the multi-C representation method of field information in farmland as described in claim 1, which is characterized in that after step sloo,
Further include:
S200, amendment farmland geography information, the farmland that the satellite remote-sensing image of areal different time is obtained are geographical
The true farmland geography information of information and corresponding field is compared, then carries out to the setting geography information in the corresponding field
After label, forms amendment farmland geography information and be stored in the farmland field database.
3. the multi-C representation method of field information in farmland as claimed in claim 2, which is characterized in that the farmland geography information
Including field location information and field attachment information, the field location information include the longitude of field, latitude, height above sea level and/
Or the gradient, the field attachment information include well, ridge, river and/or field hole in field, the setting geography information
The longitude and latitude of longitude and latitude, electric pole including well, the Local Convex concave contour of field, local convex-concave field longitude and latitude and/or
The field gradient.
4. the multi-C representation method of field information in farmland as claimed in claim 1,2 or 3, which is characterized in that step S700 it
Before, further includes:
After the completion of S600, all Information Collecting & Processings, the closure, connectivity and its periphery mesh of processed field target are checked
The consistency of attribute between mark, and new multidimensional farmland field information is generated, it is stored in the farmland field lane database.
5. the multi-C representation method of field information in farmland as claimed in claim 4, which is characterized in that clapped by unmanned plane low latitude
Field information is taken the photograph, and the identification of application image processing technique checks closure, connectivity and its periphery of processed field target
The consistency of attribute between target.
6. the multi-C representation method of the farmland field information as described in claim 2,3 or 5, which is characterized in that the satellite is distant
The remotely-sensed data for feeling image includes basic administrative division data and remote sensing monitoring data, and the remote sensing monitoring data include geographical position
Confidence breath, information acquiring pattern, the type of image capturing sensor, image capturing time, resolution ratio and/or data source letter
Breath.
7. the multi-C representation method of field information in farmland as claimed in claim 6, which is characterized in that the amendment farmland is geographical
Information includes being put a mark on the map by WebGIS to field information, and existing remotely-sensed data is collectively labeled as original before amendment
Beginning data, the Target space position information by changing the initial data obtain amendment data.
8. the multi-C representation method of field information in farmland as claimed in claim 7, which is characterized in that the amendment data pass through
Hand held GPS receiver acquires the farmland geography information of farmland field on the spot and its attribute obtains real time data, to each reality
When data carry out precision test, until meeting the data precision requirement of setting.
9. the multi-C representation method of field information in farmland as claimed in claim 1,2 or 3, which is characterized in that the farmland gas
Image information is shown in after requesting weather api data, the json data of return voluntarily to parse by the ajax method of jquery
In corresponding farmland field, the farmland weather information includes the type for obtaining the sensor of weather information, weather information acquisition
Time and/or weather information data source.
10. the multi-C representation method of field information in farmland as claimed in claim 1,2 or 3, which is characterized in that the farmland field
Block job information includes the depth of Subsoiling, quantity, Shi Shuifei and the volume of application of field sowing, field crop yield
And/or the pattern of farming and spatial distribution characteristic of crops.
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| CN201811473520.9A CN109670002A (en) | 2018-12-04 | 2018-12-04 | A kind of multi-C representation method of farmland field information |
| PCT/CN2019/097321 WO2020113969A1 (en) | 2018-12-04 | 2019-07-23 | Multi-dimensional farmland field information representation method |
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| CN201811473520.9A CN109670002A (en) | 2018-12-04 | 2018-12-04 | A kind of multi-C representation method of farmland field information |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110793807A (en) * | 2019-11-21 | 2020-02-14 | 吉林师范大学 | Automatic acquisition device for field geographic information |
| CN110926530A (en) * | 2019-11-28 | 2020-03-27 | 重庆工商职业学院 | Internet of things-based farmland disaster supervision method and system |
| WO2020113969A1 (en) * | 2018-12-04 | 2020-06-11 | 中国农业机械化科学研究院 | Multi-dimensional farmland field information representation method |
| CN111626148A (en) * | 2020-05-09 | 2020-09-04 | 杭州学联土地规划设计咨询有限公司 | Unmanned aerial vehicle farmland checking method, system, intelligent terminal and storage medium |
| CN112883251A (en) * | 2021-01-09 | 2021-06-01 | 重庆市农业科学院 | Agricultural auxiliary system based on multi-satellite combination |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112772385B (en) * | 2021-01-29 | 2023-05-23 | 天津市科睿思奇智控技术有限公司 | Full-automatic remote irrigation system |
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| WO2020113969A1 (en) * | 2018-12-04 | 2020-06-11 | 中国农业机械化科学研究院 | Multi-dimensional farmland field information representation method |
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| CN110793807B (en) * | 2019-11-21 | 2022-04-19 | 吉林师范大学 | Automatic acquisition device for field geographic information |
| CN110926530A (en) * | 2019-11-28 | 2020-03-27 | 重庆工商职业学院 | Internet of things-based farmland disaster supervision method and system |
| CN111626148A (en) * | 2020-05-09 | 2020-09-04 | 杭州学联土地规划设计咨询有限公司 | Unmanned aerial vehicle farmland checking method, system, intelligent terminal and storage medium |
| CN111626148B (en) * | 2020-05-09 | 2023-07-11 | 浙江数治空间规划设计有限公司 | Unmanned aerial vehicle farmland checking method, unmanned aerial vehicle farmland checking system, intelligent terminal and storage medium |
| CN112883251A (en) * | 2021-01-09 | 2021-06-01 | 重庆市农业科学院 | Agricultural auxiliary system based on multi-satellite combination |
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