CN108460105B - Plant data supervision method and system based on genetic network - Google Patents
Plant data supervision method and system based on genetic network Download PDFInfo
- Publication number
- CN108460105B CN108460105B CN201810118814.3A CN201810118814A CN108460105B CN 108460105 B CN108460105 B CN 108460105B CN 201810118814 A CN201810118814 A CN 201810118814A CN 108460105 B CN108460105 B CN 108460105B
- Authority
- CN
- China
- Prior art keywords
- plant
- data
- plants
- network
- relationship
- 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.)
- Expired - Fee Related
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/90335—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
- G06F16/9024—Graphs; Linked lists
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Multimedia (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a plant data supervision method and system based on a genetic network, wherein the method comprises the following steps: s1, based on the reference image data of the target plants, establishing an affinity network between plants corresponding to the target plants through target plant attribute analysis and target plant association analysis; s2, sending the genetic relationship network among the plants to a client, so that the client can extract the genetic relationship among the plants, and initiating query and supervision requests for target plant genetic relationship data according to the genetic relationship among the plants; and S3, monitoring and managing the circulation path of the genetic relationship between the target plants based on the query and supervision request. The method can effectively solve the problem of data isolated island in plant image recognition and promote regional sharing and communication of plant data.
Description
Technical Field
The invention relates to the technical field of network data processing, in particular to a plant data supervision method and system based on a genetic network.
Background
The rapid development of computers brings the network data to be increasingly large in scale, however, the data arrangement in the network data is often disordered, and how to extract the associated data meeting the requirements of users from the data is extremely important.
Data mining is a high-speed development subject in the field of computers in recent years, so that users can accurately hit data contents meeting the requirements of the users from complex massive data. However, the existence of data is not an isolated point, and various links exist between similarity data. The user cannot directly find these contacts, but the system can push them to the user for viewing.
In the biological field, in order to create the biological diversity of a region, it is often necessary to transplant an ornamental plant into another region, and for economic crops, there is also often a need to transplant a crop into a region to solve the problem of agricultural production of the region. In addition, many plants have more or less genetic variation in recent years according to the change of external environment, and the variation types of the plants belonging to the same family have similarity.
The genetic network is a more effective technical means for researching the relation between the articles in recent years, and can accurately judge the internal relation between the articles. However, in the prior art, a scientific technical scheme is still lacking for regional management of plant data, and accurate control cannot be performed on plant varieties and planting data across cities and even international boundaries. Data sharing cannot be carried out aiming at plant variation and other behaviors occurring in a certain place, so that an island effect is formed, and therefore assistance cannot be provided for areas where the same or similar plants are planted. Meanwhile, the communication of the plant data among the regions is also extremely disadvantageous, and the plant data cannot be effectively and crossly utilized.
Disclosure of Invention
In order to overcome the problems or at least partially solve the problems, the invention provides a plant data supervision method and system based on a genetic network, which are used for effectively solving the data islanding problem in plant image identification and promoting regional sharing and communication of plant data.
In one aspect, the invention provides a plant data supervision method based on a genetic network, which comprises the following steps: s1, based on the reference image data of the target plants, establishing an affinity network between plants corresponding to the target plants through target plant attribute analysis and target plant association analysis; s2, sending the genetic relationship network among the plants to a client, so that the client can extract the genetic relationship among the plants, and initiating query and supervision requests for target plant genetic relationship data according to the genetic relationship among the plants; and S3, monitoring and managing the circulation path of the genetic relationship between the target plants based on the query and supervision request.
Wherein the step of S1 further comprises: s11, acquiring reference image data of the target plant; s12, analyzing the reference image data to obtain all attribute information of the target plants, and the inter-plant family relationship and inter-plant region circulation relationship; s13, constructing Key-value type network nodes according to the unique plant identification codes Key and the attribute information value of the plants, constructing relationship edges among the network nodes according to the same family relationship among the plants and the region circulation relationship among the plants, and acquiring the genetic relationship network among the plants.
Further, after the step of S13, the method further includes: and storing the genetic relationship network between the plants in a graphical model mode by utilizing an integrated database platform of a Domino file type database and an Oracle database.
Wherein the step of S3 further comprises: s31, based on the query request in the query and supervision request, querying the stored data of the genetic relationship network diagram between corresponding plants by using a diagram query language LIKQ; s32, reading the genetic relationship diagram structure of the genetic relationship network diagram data among the plants by adopting an MVC (model view controller) architecture mode, and separating the genetic relationship data display, the genetic relationship data processing and the genetic relationship data storage; and S33, monitoring the change characteristics of the plant genetic relationship network data by acquiring a Listener monitor in Telephony manager service by utilizing a Spring architecture mode based on the monitoring request in the query and monitoring request, and processing the plant genetic relationship data transaction logic.
Further, after the step of S33, the method further includes: and regulating and displaying the data of the genetic relationship network diagram among the plants, the change characteristics of the data of the plant genetic relationship network and the processing result of the plant genetic relationship data business logic to a user through a client display interface Action configuration file.
Further, after the step of processing the plant genetic relationship data business logic in step S33, the method further includes: based on the stored data of the genetic relationship network diagram among the plants, the following processing and analysis are further respectively carried out: based on the analysis of the network node: traversing all the network nodes based on the given query attribute to obtain a target node attribute, analyzing the plant growth environment information based on the target node attribute, and traversing the information of the boundary, the gate, the class, the order, the family, the genus and the species of the plant according to the hierarchy; analyzing based on the relationship edge path: after inquiring the plant node attribute with the specific plant outline attribute and the specific growth environment information, deciding the plant relationship of the plant planting region based on a time axis, and acquiring the relatives blood relationship between plants based on similarity analysis; subgraph-based analysis: querying subgraphs meeting query targets in a data graph based on a target query graph acquired from a client; and acquiring plant body data information and plant relation data information which meet preset conditions according to the analysis based on the network nodes and the analysis based on the relation side path.
Wherein the step of obtaining all attribute information of the target plant in step S12 further includes: and respectively acquiring variety attribute information, habit attribute information, cultivation notice attribute information and import and export attribute information of the target plant.
Further, the step of S1 further includes: receiving reference image data of the target plant sent by a user client; accordingly, before the step of S1, the method further includes: the user client shoots target plant images in a specified environment based on an external camera; or, the user client reads the target plant image stored in the memory of the user client, and acquires the reference image data of the target plant.
Further, after the step of monitoring the changing characteristics of the plant genetic relationship network data in step S33, the method further includes: and carrying out encrypted browsing and checking on the change characteristics of the plant genetic relationship network data, placing the encrypted information into an arams variable of an ArrayList type, extracting an abstract of the change characteristics of the plant genetic relationship network data by adopting an MD5 encryption algorithm, carrying out information-abstract type one-way encryption, and storing the abstract in a database.
In another aspect, the present invention provides a plant data monitoring system based on a genetic network, including: the genetic network construction module is used for constructing a genetic relationship network between plants corresponding to the target plants through target plant attribute analysis and target plant incidence relationship analysis based on reference image data of the target plants; the data sending module is used for sending the genetic relationship network among the plants to a client so that the client can extract the genetic relationship among the plants from the network, and initiates a query and supervision request for target plant genetic relationship data according to the genetic relationship among the plants; and the data supervision module is used for monitoring and managing the circulation path of the genetic relationship between the target plants based on the query and supervision request.
The plant data supervision method and system based on the genetic network can perform multidimensional standardized interconnection identification on the images of the plant data, so that the problem of data isolated island in the plant image identification problem is effectively solved. Meanwhile, through the analysis of the plant image data and the plant genetic network data, the sharing and the communication of the regional plant data can be effectively promoted, and the method has important significance on the research and development and the cultivation of the plant data among regions.
Drawings
Fig. 1 is a flowchart of a plant data supervision method based on a genetic network according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating the recognition result of a server for a plant organ according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for constructing a genetic relationship network between plants according to an embodiment of the present invention;
FIG. 4 is a flow chart illustrating the supervision of the circulation path of the genetic relationship between plants based on MVC and Spring architectural patterns according to an embodiment of the present invention;
FIG. 5 is a diagram of a database logic structure according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a plant data monitoring system based on a genetic network according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As an aspect of the embodiment of the present invention, the embodiment provides a plant data supervision method based on a genetic network, and referring to fig. 1, a flowchart of a plant data supervision method based on a genetic network according to an embodiment of the present invention includes:
s1, based on the reference image data of the target plants, establishing an affinity network between plants corresponding to the target plants through target plant attribute analysis and target plant association analysis;
s2, sending the genetic relationship network among the plants to a client, so that the client can extract the genetic relationship among the plants, and initiating query and supervision requests for target plant genetic relationship data according to the genetic relationship among the plants;
and S3, monitoring and managing the circulation path of the genetic relationship between the target plants based on the query and supervision request.
In one embodiment, the step of S1 further includes: receiving reference image data of the target plant sent by a user client; accordingly, before the step of S1, the method further includes: the user client shoots target plant images in a specified environment based on an external camera; or, the user client reads the target plant image stored in the memory of the user client, and acquires the reference image data of the target plant.
It can be understood that the user can shoot the plant image by using the external camera of the user client. When a user shoots a plant image by using an external camera of a user client, the user can manually focus to align the plant in the screen, when an image red margin line appears in the screen and a close-up shot of a part structure of the plant is displayed, the standard image of the plant is accurately acquired, and the system automatically or manually confirms to upload the plant image by the user.
In addition, the user can acquire the target plant image in advance by using the user client and store the target plant image in the user client memory, and when the method is executed, the target plant image is read by accessing the memory and is sent to the server.
In step S1, the server obtains attribute information of the target plant through the plant attribute analysis of the acquired reference image data. And simultaneously, carrying out incidence relation analysis between plants on the reference image data to obtain incidence relation information between target plants. And then constructing an affinity network between plants corresponding to the target plants based on the obtained attribute information of the target plants and the incidence relation information between the target plants. The reference image data of the target plant may be received by the server side in advance from the user client side.
In one embodiment, the plant variety is analyzed from the plant image uploaded by the user client through the background server, and the organ of the plant is identified. And after the organs are compared and clustered based on the storage content of the background server database, the organs are used for constructing a genetic network of the plant at a subsequent server side. Referring to fig. 2, which is a schematic diagram illustrating the recognition result of a server for a plant organ according to an embodiment of the present invention, fig. 2(a) and fig. 2(b) show the recognition result for a plant organ flower and a seed, respectively. In order to make the display result clearer, the embodiment adopts black and white perspective projection.
Optionally, referring to fig. 3, the further processing step of S1 is a flowchart of constructing a genetic relationship network between plants according to an embodiment of the present invention, including:
s11, acquiring reference image data of the target plant;
s12, analyzing the reference image data to obtain all attribute information of the target plants, and the inter-plant family relationship and inter-plant region circulation relationship;
in one embodiment, the step of obtaining all attribute information of the target plant in step S12 further includes: and respectively acquiring variety attribute information, habit attribute information, cultivation notice attribute information and import and export attribute information of the target plant.
S13, constructing Key-value type network nodes according to the unique plant identification codes Key and the attribute information value of the plants, constructing relationship edges among the network nodes according to the same family relationship among the plants and the region circulation relationship among the plants, and acquiring the genetic relationship network among the plants.
In this embodiment, the genetic network is formed by nodes including attributes and edges including the attributes in a graphical model, the nodes include a plurality of Key-value type attributes, the nodes are interconnected through relationship edges, each node Key includes its own unique plant identification code, the value includes contents such as plant varieties, habits, cultivation care items, import and export information, and the relationship edges with other nodes include information about family relations (boundary, gate, class, subject, family, genus, and species) and information about region circulation relationships between plants.
In the embodiment of the invention, biological knowledge is combined, and the biological genus is divided into a boundary, a phylum, a class, an order, a family, a genus and a species from large to small. The plant standard image is sent to a background server, a database system in the background server analyzes the characteristics of all parts of the shot image, and after image matching identification is carried out on the shot image in the database, division of boundaries, phyla, classes, orders, families, genera and species is carried out. The shot images belong to the plant kingdom, the phyla comprises gymnosperm phylum and angiosperm phylum, and subordinate division is more detailed. For example, branches and leaves of aloe belonging to the genus of the family of the subclass Symphytae are photographed, and related plant networks of the family of Campanulaceae, Cucurbitaceae, etc. are analyzed.
Wherein, in one embodiment, after the step of S13, the method further comprises: and storing the genetic relationship network between the plants in a graphical model mode by utilizing an integrated database platform of a Domino file type database and an Oracle database.
It can be understood that the integrated database platform based on Domino file type database and Oracle database stores the genetic relationship network diagram, and stores the genetic relationship network in a graphical model. The database of the background server adopts a development mode of integrating a Domino database and an Oracle database, and the Domino database has all common facilities for accessing a network page stored on the server and running a CGI program.
The Domino server expands the Notes element into an extended URL interface, primarily by appending the Notes element and commands to the end of the web service request. Through the URL interface, Domino listens for HTTP requests. When a web browser requests to browse a web page on a Domino server, the Domino server first passes the URL through a built-in Domino parser to determine whether the browser needs the web page file in the file system or the contents of the Domino database.
The plant standard image uploaded by the user can be in a webpage browsing mode, relevant basic information of the plant image and information of the genetic network inquired subsequently are displayed, the Domino database can accurately provide accurate network service for the webpage, and a quick transfer interface of the plant image and the genetic network is established. Meanwhile, the Oracle database is connected by adopting an ODBC database, uses an application program established by a uniform API, does not depend on any database management system for operating the database, and does not directly make an interface with any database management system, thereby directly realizing the sharing of different DBMSs by the application program.
In one embodiment of the present invention, a process for accessing a background server database using ODBC comprises: the plant standard image sends an API call request to the ODBC, the ODBC built-in driving device analyzes a command of the plant standard image request call, and the OS decides a request command of the built-in driving device, the plant and the plant standard image used according to the database data information logged in advance and sends the request command to a designated ODBC built-in driving device of the database being accessed. If the query result exists, the result is sent to the called API program, and the data conversion transmission interface is established between the plant standard image data and the plant genetic network data through the acquired information of the semi-structured data of the compound document, so that the correct integration and use of the system are ensured.
After the step S2 is executed, the server side constructs the genetic relationship network between the plants corresponding to the target plant according to the step S1, and then sends the constructed genetic relationship network between the plants to the user client side through the network in order to implement the user' S supervision on the data of the target plant. The user client receives the genetic relationship network among the plants, extracts the genetic relationship among the plants of the target plant from the network, and initiates a query and supervision request for the corresponding genetic relationship data of the target plant to the server according to the genetic relationship among the plants as required.
Step S3 may be understood as that, after the server constructs the genetic relationship network between plants according to step S1 and receives the query and supervision request sent by the client, the server queries the corresponding genetic relationship between plants based on the genetic relationship network between plants according to the query request. And simultaneously, inquiring, monitoring and managing a circulation path of the genetic relationship between the plants corresponding to the target plants according to the supervision request.
In one embodiment, MVC and Spring architecture modes are utilized to realize inquiry, monitoring and management of circulation paths of genetic relationships among plants of target plants.
According to the plant data supervision method based on the genetic network, the reference image is obtained through the user client side and used for constructing the genetic relationship network of the reference image. The client sends the reference image to the server for the server to construct an affinity network of the reference image; the server side sends the constructed genetic relationship network to the client side, the client side extracts the genetic relationship graph from the genetic relationship network, and then the server side supervises the genetic relationship circulation path among the plants based on the MVC and Spring framework.
The method can carry out multidimensional standardized interconnection identification on the images of the plant data, not only can effectively solve the problem of data islanding in the plant image identification problem, but also can effectively solve the problems of sharing and communication of the plant data through the analysis of the plant image data and the plant genetic network data.
Referring to fig. 4, the further processing step of S3 is a flow chart of monitoring a circulation path of genetic relationships between plants based on MVC and Spring architectural patterns, including:
s31, based on the query request in the query and supervision request, querying the stored data of the genetic relationship network diagram between corresponding plants by using a diagram query language LIKQ;
s32, reading the genetic relationship diagram structure of the genetic relationship network diagram data among the plants by adopting an MVC (model view controller) architecture mode, and separating the genetic relationship data display, the genetic relationship data processing and the genetic relationship data storage;
and S33, monitoring the change characteristics of the plant genetic relationship network data by acquiring a Listener monitor in Telephony manager service by utilizing a Spring architecture mode based on the monitoring request in the query and monitoring request, and processing the plant genetic relationship data transaction logic.
In this embodiment, referring to fig. 5, a basic data structure of the data of the system is built for a database logic structure diagram according to an embodiment of the present invention. The method mainly comprises Node contents Node and a relation mode Relationship between nodes, and through establishing plant data nodes and a relation mode between the plant data nodes, a mode Path between plant data is established, and data stored in the system is reasonably regulated and controlled.
In step S31, a graph query language LIKQ is used to query and update the data of the affinity network graph stored in the database platform by defining node rules, relationship edge rules and pattern rules, respectively.
For node rules, a pair of parentheses (usually the parentheses contain a string) is used to represent a node, and the node contains a tagged description and a comprehensive data attribute description. Identifying the family information of the Plant by adopting a (targetNode: Plant { name: ', Category:') -node format; identifying Habitat information of the plants by adopting a (targetNode: Plant { name: ', Habitat:') -node format, wherein the Habitat information is expanded and updated along with the found places where the plants are planted; identifying Plant habit information using (targetNode: Plant { name:, ", Behavior:" });
for the relationship edge rule, a double-dash sign is adopted to represent a non-directional relationship, and a directional relationship is represented by an arrow formed by adding an end point to the double-dash sign. The parenthesis between the dashes may add description details for the relationship, including identifiers, tags, or other attribute information to represent the description details. The background server adopts the relation edge rule to indicate the relation between the plants. For example, the planting migration relationship of plants is marked by- [ relationship: Transferred { Transferred red date: "", Transferred destination: "} ] - > to specify the planting extension region and time between plants; identifying genetic alterations in plants and the effects of such alterations on plants in the form of- [ relationship: Genetics { GeneChanged: ";" Effect: "-); the method adopts the scheme that the relationship between relatives and relatives of plants is marked by- [ relationship: identifier { Category: ', Layer:' } - > and the range division and the Relation of the related orders are carried out.
For pattern rules, nodes are used in conjunction with relational edges to obtain expected pattern data. The nodes in the pattern rule correspond to a plurality of nodes in the background database, the edges in the pattern rule correspond to a plurality of paths in the database, and all matched data results are returned according to the query pattern.
For example, according to the aloe photographed in the above embodiments, the backend server database uses the graph query language LIKQ to perform the arrangement and storage of the node, edge, and mode rules. Aiming at a node rule, the complex data attribute description and the tagging description are carried out on the compositae plants, and the node attribute (targetNode: Plant { name: "succulent A", Category: "compositae of the subclass of the; the node attribute (targetNode: Plant { name: "succulent A", Habitat: "Asian temperate" }) indicates the Habitat of the Plant. For the relationship edge, it indicates the relationship between it and other plants to the Asteraceae. Relationship edge- [ relationship: Transferred { Transferred red date: "80 th century 20", Transferred destination: "east asia" } ] - > indicates where and when such plants are introduced for planting; the Relation side- [ relationship: Genetics { Genechanged: "embellished", Effect: "leaf epidermis color abnormity" } ] - > shows the mutation phenomenon and biological influence of plants; the Relation side- [ relationship: identifier { Category: "cucurbitaceae", Layer: "0" } ] - > shows that the compositae plant and the cucurbitaceae plant belong to the same plant class and have reference significance in planting and the like. And for the mode rule, establishing the mode rule based on the relation edges between the plant nodes and the plants, and performing structured adjustment on the relation between the plants to obtain the final query result.
In step S32, the MVC mode is used to read the genetic relationship diagram structure of the query result obtained in step S31, so as to separate the genetic relationship data display, the genetic relationship data processing, and the genetic relationship data storage. The user is based on an Android system, the Android system displays the plant genetic relationship coefficient data to the user in various forms through interaction with the user, and receives a request of the user for a server side.
In one embodiment, after the step of S33, the method further includes: and regulating and displaying the data of the genetic relationship network diagram among the plants, the change characteristics of the data of the plant genetic relationship network and the processing result of the plant genetic relationship data business logic to a user through a client display interface Action configuration file. Namely, the display interface regulates and controls the layout of the genetic relationship page displayed to the user mainly through the Action configuration file.
The genetic relationship network between plants includes not only the family relationship of plants, but also the relationship between habitat, habit and the like. For example, Rosaceae and Ericaceae belong to different botanicals, belonging to the subclasses Sealatae and Hepialidae, respectively, but the habitats of both include subtropical Asia regions. Thus, the above information is also shown in the plant genetic network.
In step S33, the monitoring of the plant genetic relationship network data is performed based on a Spring framework, and the user monitors the change characteristics of the plant genetic relationship network data by acquiring a Listener in TelephonyManager service, including: plant planting place relation change data, plant export change data, plant genetic variation data and the like.
And the service processing unit in the server receives a service request for inquiring the plant genetic relationship data initiated by a user and processes the plant genetic relationship data transaction logic according to the request. I.e. the processing logic that calls functions to the data processing interface layer.
The data processing interface layer is realized by a function of the data processing layer, and the data processing layer is responsible for processing the database; the data curing layer maps the change of the entity class attribute in the plant genetic relationship data into a protocol data field in the database; the data service layer is responsible for storing data, and the plant genetic relationship data is structurally stored in the data service layer.
For example, according to the aloe photographed in the above embodiment, the user requests plant genetic network data from the backend server, and the backend server processes the service request. Specifically, the image is identified and analyzed based on a built-in function, a data curing layer of the server analyzes the content extracted from the plant standard image data, performs entity type book change with the plant data in an internal database, maps the entity type book change with the plant data in the internal database, and maps the entity type book change with a protocol data field of the internal database, the plant data is stored in a data service layer in a matching mode, and the content of the plant data is stored in the data service layer.
Wherein, in one embodiment, after the step of monitoring the changing characteristics of the plant genetic relationship network data in step S33, the method further comprises: and carrying out encrypted browsing and checking on the change characteristics of the plant genetic relationship network data, placing the encrypted information into an arams variable of an ArrayList type, extracting an abstract of the change characteristics of the plant genetic relationship network data by adopting an MD5 encryption algorithm, carrying out information-abstract type one-way encryption, and storing the abstract in a database.
It can be understood that, for the monitored change characteristics of the plant genetic relationship network data, encrypted browsing and viewing are performed, and only users with the same or more rights are allowed to operate. Meanwhile, the encrypted information is put into params variables of ArrayList types, and information-summary type one-way encryption is carried out on the abstracted summary of the changed content by adopting an MD5 encryption algorithm, and finally the abstracted summary is stored in a database.
In another embodiment, after the step of performing the processing of the plant genetic relationship data business logic in step S33, the method further comprises: based on the stored data of the genetic relationship network diagram among the plants, the following processing and analysis are further respectively carried out:
based on the analysis of the network node: traversing all the network nodes based on the given query attribute to obtain a target node attribute, analyzing the plant growth environment information based on the target node attribute, and traversing the information of the boundary, the gate, the class, the order, the family, the genus and the species of the plant according to the hierarchy;
analyzing based on the relationship edge path: after inquiring the plant node attribute with the specific plant outline attribute and the specific growth environment information, deciding the plant relationship of the plant planting region based on a time axis, and acquiring the relatives blood relationship between plants based on similarity analysis;
subgraph-based analysis: querying subgraphs meeting query targets in a data graph based on a target query graph acquired from a client; and acquiring plant body data information and plant relation data information which meet preset conditions according to the analysis based on the network nodes and the analysis based on the relation side path.
It is understood that further analysis is performed based on the stored affinity network data. The method specifically comprises analysis based on network nodes, analysis based on relationship edge paths and analysis based on subgraphs.
The analysis based on the network nodes can be understood that the mode analysis of the individual nodes does not need to depend on the connection condition of the relation edges, namely, the nodes are not related to whether the nodes are the individual nodes or not as long as the nodes meet the attribute conditions given by the query. And traversing the whole node set, and finding out the node content required by the user according to conditions. The user analyzes the growth environment information of each plant based on the content information of the nodes, and traverses the boundary, phylum, class, order, family, genus and species information of the plant according to the hierarchy.
The analysis based on the relationship edge path can be understood as that the path is a sequence of a group of relationship edges, and the relationship edges do not repeatedly appear. After finding out the plant node content with the specific plant outline attribute and the specific growth environment information, a user decides the plant relation of the plant planting region based on a time axis, and obtains the relatives blood relationship among the plants based on similarity analysis.
The subgraph-based analysis can be understood as that a query graph is provided by a user, and subgraphs meeting the requirements of the user are queried in a data graph. The method is divided into accurate query and fuzzy query according to the accuracy degree of the query. And then acquiring the relation data between the plant body data information and the plants meeting the preset conditions according to the results of the node analysis and the edge analysis.
In one embodiment, after the user acquires the image data information of the plant and the genetic relationship data information of the plant, the client may perform further data analysis. Based on the image data information, the client shows the user the growth problems existing or potential in the plants in the standard images of the plants shot by the client. Based on the plant genetic relationship network, the client can summarize a specific solution for solving the growth problem of the plant based on the characteristics of showing the genetic relationship between the plant and other plants and the plant habit.
Referring to table 1, which is a plant data analysis result list according to an embodiment of the present invention, table 1 shows pathological analysis or other problem analysis performed on the image condition of the plant.
TABLE 1 plant data analysis results List of the present examples
The plant data supervision method based on the genetic network provided by the embodiment of the invention can perform multidimensional standardized interconnection identification on the image of the plant data, thereby effectively solving the data island problem in the plant image identification problem. Meanwhile, through the analysis of the plant image data and the plant genetic network data, the sharing and the communication of the regional plant data can be effectively promoted, and the method has important significance on the research and development and the cultivation of the plant data among regions.
As another aspect of the embodiment of the present invention, the present embodiment provides a plant data monitoring system based on a genetic network, and referring to fig. 6, a schematic structural diagram of a plant data monitoring system based on a genetic network according to the embodiment of the present invention includes: the system comprises an affinity network construction module 1, a data sending module 2 and a data supervision module 3. Wherein the content of the first and second substances,
the genetic network construction module 1 is used for constructing a genetic relationship network between plants corresponding to target plants through target plant attribute analysis and target plant incidence relation analysis based on reference image data of the target plants;
the data sending module 2 is used for sending the genetic relationship network among the plants to a client so that the client can extract the genetic relationship among the plants from the network, and initiates a query and supervision request for target plant genetic relationship data according to the genetic relationship among the plants;
and the data supervision module 3 is used for monitoring and managing the circulation path of the genetic relationship between the target plants based on the query and supervision request.
It can be understood that the server side obtains the reference image data of the target plant in advance by receiving the transmission of the user client side. And the genetic network construction module 1 in the server side obtains the attribute information of the target plant through the plant attribute analysis of the reference image data. And meanwhile, carrying out incidence relation analysis between plants on the reference image data, and obtaining incidence relation information between target plants by the genetic network construction module 1. Then, based on the obtained attribute information of the target plant and the incidence relation information between the target plants, the genetic relationship network construction module 1 constructs a genetic relationship network between plants corresponding to the target plant.
Then, after the genetic relationship network between the plants corresponding to the target plant is constructed according to the genetic relationship network construction module 1, in order to realize the supervision of the target plant data by the user, the data transmission module 2 in the server side transmits the constructed genetic relationship network between the plants to the user client side through the network. The user client receives the genetic relationship network among the plants, extracts the genetic relationship among the plants of the target plant from the network, and initiates a query and supervision request for the genetic relationship data corresponding to the target plant to the data supervision module 3 according to the genetic relationship among the plants as required.
After the genetic relationship network among the plants is constructed according to the genetic relationship network construction module 1 and the query and supervision request sent by the client is received, the data supervision module 3 queries the corresponding genetic relationship among the plants based on the genetic relationship network among the plants according to the query request. Meanwhile, the data supervision module 3 inquires, monitors and manages the circulation path of the genetic relationship between the plants corresponding to the target plants according to the supervision request.
In one embodiment, the data monitoring module 3 uses MVC and Spring architecture modes to query, monitor and manage circulation paths of genetic relationships between plants of target plants.
The plant data supervision system based on the genetic network provided by the embodiment of the invention can perform multidimensional standardized interconnection identification on the image of the plant data, thereby effectively solving the data island problem in the plant image identification problem. Meanwhile, through the analysis of the plant image data and the plant genetic network data, the sharing and the communication of the regional plant data can be effectively promoted, and the method has important significance on the research and development and the cultivation of the plant data among regions.
The genetic network construction module 1 acquires reference image data of a target plant from a user client, and the user client shoots a plant image in a specified environment based on an external camera in advance; or the plant image which is acquired by the user client and stored in the memory of the user client.
It should be understood that the user may take the plant image by using an external camera of the user client. When a user shoots a plant image by using an external camera of a user client, the user can manually focus to align the plant in the screen, when an image red margin line appears in the screen and a close-up shot of a part structure of the plant is displayed, the standard image of the plant is accurately acquired, and the system automatically or manually confirms to upload the plant image by the user.
In addition, the user can acquire the target plant image in advance by using the user client and store the target plant image in the user client memory, and when the method is executed, the target plant image is read by accessing the memory and is sent to the server.
In one embodiment, when the genetic relationship network building module 1 builds a genetic relationship network between plants, the following process is executed:
acquiring reference image data of the target plant;
acquiring all attribute information of the target plants, and the inter-plant family relationship and the inter-plant region circulation relationship by analyzing the reference image data;
in one embodiment, the step of obtaining all attribute information of the target plant further includes: and respectively acquiring variety attribute information, habit attribute information, cultivation notice attribute information and import and export attribute information of the target plant.
And constructing Key-value network nodes according to the unique plant identification code Key and the attribute information value of the plant, constructing relationship edges among the network nodes according to the same family relationship among the plants and the region circulation relationship among the plants, and acquiring the genetic relationship network among the plants.
It should be understood that the genetic network is formed by nodes containing attributes and edges containing the attributes in a graphical model, the nodes contain a plurality of Key-value type attributes, the nodes are interconnected through relationship edges, each node Key contains a unique plant identification code, the value includes the contents of the variety, habit, cultivation attention, import and export information and the like of the plant, and the relationship edges with other nodes include the information of the same family relationship (boundary, gate, class, subject, family, genus and species) and the information of the region circulation relationship between the plants.
In the embodiment of the invention, biological knowledge is combined, and the biological genus is divided into a boundary, a phylum, a class, an order, a family, a genus and a species from large to small. The plant standard image is sent to a background server, a database system in the background server analyzes the characteristics of all parts of the shot image, and after image matching identification is carried out on the shot image in the database, division of boundaries, phyla, classes, orders, families, genera and species is carried out. The shot images belong to the plant kingdom, the phyla comprises gymnosperm phylum and angiosperm phylum, and subordinate division is more detailed. For example, branches and leaves of aloe belonging to the genus of the family of the subclass Symphytae are photographed, and related plant networks of the family of Campanulaceae, Cucurbitaceae, etc. are analyzed.
In another embodiment, the genetic relationship network building module 1 is further configured to store the genetic relationship network between plants in a graphical model by using an integrated database platform of a Domino file-type database and an Oracle database.
It should be understood that the kindred network building module 1 stores the kindred network map based on an integrated database platform of Domino file type database and Oracle database, and stores the kindred network in a graphical model. The database of the genetic network building module 1 adopts a development mode of integrating a Domino database and an Oracle database, and the Domino database has all common facilities for accessing a network page stored on a server and running a CGI program.
The Domino server expands the Notes element into an extended URL interface, primarily by appending the Notes element and a command to the end of a web service request. Through the URL interface, Domino listens for received HTTP requests. When a web browser requests to browse a web page on a Domino server, the Domino server first determines whether the browser needs a web page file in a file system or the contents of a Domino database through a built-in Domino parser of the URL.
The plant standard image uploaded by the user can be in a webpage browsing mode, relevant basic information of the plant image and information of the genetic network inquired subsequently are displayed, the Domino database can accurately provide accurate network service for the webpage, and a quick transfer interface of the plant image and the genetic network is established. Meanwhile, the Oracle database in the genetic network building module 1 is connected by adopting an ODBC database, and an application program established by using a uniform API (application program interface) does not depend on any database management system for operating the database and directly makes an interface with any database management system, so that the sharing of different DBMSs by the application program is directly realized.
In an embodiment of the present invention, the process of the genetic network building module 1 accessing the background server database by using ODBC includes: the plant standard image sends an API call request to the ODBC, the ODBC built-in driving device analyzes a command of the plant standard image request call, and the request command of the built-in driving device, the plant and the plant standard image used is decided by the OS according to the database data information logged in advance and sent to the specified ODBC built-in driving device of the database being accessed. If the query result exists, the result is sent to the called API program, information is obtained through the semi-structured data of the compound document, a data conversion transmission interface is established between the plant standard image data and the plant genetic network data, and correct integration and use of the system are guaranteed.
In one embodiment, when monitoring and managing the circulation path of the genetic relationship between the target plants, the data supervision module 3 executes the following processing procedures:
querying the stored data of the genetic relationship network diagram among the corresponding plants by using a diagram query language LIKQ based on the query request in the query and supervision request;
reading a genetic relationship graph structure of the genetic relationship network graph data among the plants by adopting an MVC (model view controller) architecture mode, and separating genetic relationship data display, genetic relationship data processing and genetic relationship data storage;
and monitoring the change characteristics of the plant genetic relationship network data by acquiring a Listener monitor in TelephonyManager service by utilizing a Spring architecture mode based on the monitoring request in the query and monitoring request, and performing the processing of the plant genetic relationship data transaction logic.
It should be understood that the data administration module 3 builds the basic data structure of the system data. The method mainly comprises Node contents Node and a relation mode Relationship between nodes, and through establishing plant data nodes and a relation mode between the plant data nodes, a mode Path between plant data is established, and data stored in the system is reasonably regulated and controlled.
Firstly, the data supervision module 3 queries and updates the data of the genetic relationship network graph stored in the database platform by respectively defining a node rule, a relationship edge rule and a mode rule by using a graph query language LIKQ.
The definitions of the node rule, the relationship edge rule and the mode rule are similar to those of the method class embodiments, and reference may be made to the method class embodiments, which are not described herein again.
Then, the data monitoring module 3 reads the genetic relationship diagram structure in the MVC mode according to the obtained query result, so as to separate the genetic relationship data display, the genetic relationship data processing, and the genetic relationship data storage. The user is based on the Android system, the Android system displays the plant genetic relationship data to the user in various forms through interaction with the user, and receives a request of the user for the data supervision module 3.
In one embodiment, the data supervision module 3 is further configured to regulate and display the data of the genetic relationship network diagram among the plants, the variation characteristics of the plant genetic relationship network data, and the processing result of the plant genetic relationship data business logic to the user through a client display interface Action profile. Namely, the display interface regulates and controls the layout of the genetic relationship page displayed to the user mainly through the Action configuration file.
It should be understood that the genetic relationship network between plants not only includes the family relationship of plants, but also includes the relationship description of habitat, habit, etc. For example, Rosaceae and Ericaceae belong to different botanicals, belonging to the subclasses Sealatae and Hepialidae, respectively, but the habitats of both include subtropical Asia regions. Thus, the above information is also shown in the plant genetic network.
Then, the data supervision module 3 supervises the plant genetic relationship network data based on a Spring framework, and a user monitors the change characteristics of the plant genetic relationship network data by acquiring a Listener monitor in TelephonyManager service. The monitored change characteristics comprise plant planting place relation change data, plant export change data, plant genetic variation data and the like.
It should be understood that the data supervision module 3 receives a service request of a plant genetic relationship data query initiated by a user, and performs processing of the plant genetic relationship data transaction logic according to the request. I.e. the processing logic of the data supervision module 3 calling the function to the data processing interface layer. The data processing interface layer is realized by a function of the data processing layer, and the data processing layer is responsible for processing the database; the data curing layer maps the change of the entity class attribute in the plant genetic relationship data into a protocol data field in the database; the data service layer is responsible for storing data, and the plant genetic relationship data is structurally stored in the data service layer.
In an embodiment, the data monitoring module 3 is further configured to encrypt, browse and view the variation characteristics of the plant genetic relationship network data, place the encrypted information into an araylist type params variable, extract an abstract of the variation characteristics of the plant genetic relationship network data by using an MD5 encryption algorithm, perform information-abstract type unidirectional encryption, and store the abstract in the database.
It can be understood that, for the change characteristics of the monitored plant genetic relationship network data, the data monitoring module 3 is used for setting, encrypted browsing and viewing can be performed, and only users with the same or more authorities are allowed to operate. The data supervision module 3 simultaneously puts the encrypted information into params variables of ArrayList types, adopts MD5 encryption algorithm to extract digests of the changed contents and carries out information-digest type one-way encryption, and finally stores the digests in a database.
In another embodiment, the data supervision module 3 is further specifically configured to perform, based on the stored data of the network graph of genetic relationships between plants, further analysis based on the network nodes, analysis based on the paths of the relationship edges, and analysis based on a subgraph, respectively.
The analysis based on the network nodes can be understood that the mode analysis of the individual nodes does not need to depend on the connection condition of the relation edges, namely, the nodes are not related to whether the nodes are the individual nodes or not as long as the nodes meet the attribute conditions given by the query. And traversing the whole node set, and finding out the node content required by the user according to conditions. The user analyzes the growth environment information of each plant based on the content information of the nodes, and traverses the boundary, phylum, class, order, family, genus and species information of the plant according to the hierarchy.
The analysis based on the relationship edge path can be understood as that the path is a sequence of a group of relationship edges, and the relationship edges do not repeatedly appear. After finding out the plant node content with the specific plant outline attribute and the specific growth environment information, a user decides the plant relation of the plant planting region based on a time axis, and obtains the relatives blood relationship among the plants based on similarity analysis.
The subgraph-based analysis can be understood as that a query graph is provided by a user, and subgraphs meeting the requirements of the user are queried in a data graph. The method is divided into accurate query and fuzzy query according to the accuracy degree of the query. And then acquiring the relation data between the plant body data information and the plants meeting the preset conditions according to the results of the node analysis and the edge analysis.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. A plant data supervision method based on a genetic network is characterized by comprising the following steps:
s1, based on the reference image data of the target plants, establishing an affinity network between plants corresponding to the target plants through target plant attribute analysis and target plant association analysis;
s2, sending the genetic relationship network among the plants to a client, so that the client can extract the genetic relationship among the plants, and initiating query and supervision requests for target plant genetic relationship data according to the genetic relationship among the plants;
s3, monitoring and managing the circulation path of the genetic relationship between the target plants based on the query and supervision request;
the step of S1 further includes:
s11, acquiring reference image data of the target plant;
s12, analyzing the reference image data to obtain all attribute information of the target plants, and the inter-plant family relationship and inter-plant region circulation relationship;
s13, constructing Key-value type network nodes according to the unique plant identification codes Key and the attribute information value of the plants, constructing relationship edges among the network nodes according to the same family relationship among the plants and the region circulation relationship among the plants, and acquiring the genetic relationship network among the plants;
the step of obtaining all attribute information of the target plant in step S12 further includes:
respectively acquiring variety attribute information, habit attribute information, cultivation notice attribute information and import and export attribute information of the target plant;
the step of S3 further includes:
s31, based on the query request in the query and supervision request, querying the stored data of the genetic relationship network diagram between corresponding plants by using a diagram query language LIKQ;
s32, reading the genetic relationship diagram structure of the genetic relationship network diagram data among the plants by adopting an MVC (model view controller) architecture mode, and separating the genetic relationship data display, the genetic relationship data processing and the genetic relationship data storage;
and S33, monitoring the change characteristics of the plant genetic relationship network data by acquiring a Listener monitor in Telephony manager service by utilizing a Spring architecture mode based on the monitoring request in the query and monitoring request, and processing the plant genetic relationship data transaction logic.
2. The method according to claim 1, further comprising, after the step of S13:
and storing the genetic relationship network between the plants in a graphical model mode by utilizing an integrated database platform of a Domino file type database and an Oracle database.
3. The method according to claim 1, further comprising, after the step of S33:
and regulating and displaying the data of the genetic relationship network diagram among the plants, the change characteristics of the data of the plant genetic relationship network and the processing result of the plant genetic relationship data business logic to a user through a client display interface Action configuration file.
4. The method according to claim 3, wherein after the step of performing the processing of the plant genetic relationship data business logic in step S33, further comprising:
based on the stored data of the genetic relationship network diagram among the plants, the following processing and analysis are further respectively carried out:
based on the analysis of the network node: traversing all the network nodes based on the given query attribute to obtain a target node attribute, analyzing the plant growth environment information based on the target node attribute, and traversing the information of the boundary, the gate, the class, the order, the family, the genus and the species of the plant according to the hierarchy;
analyzing based on the relationship edge path: after inquiring the plant node attribute with the specific plant outline attribute and the specific growth environment information, deciding the plant relationship of the plant planting region based on a time axis, and acquiring the relatives blood relationship between plants based on similarity analysis;
subgraph-based analysis: querying subgraphs meeting query targets in a data graph based on a target query graph acquired from a client; and acquiring plant body data information and plant relation data information which meet preset conditions according to the analysis based on the network nodes and the analysis based on the relation side path.
5. The method of claim 1, wherein the step of S1 further comprises: receiving reference image data of the target plant sent by a user client;
accordingly, before the step of S1, the method further includes:
the user client shoots target plant images in a specified environment based on an external camera; or, the user client reads the target plant image stored in the memory of the user client, and acquires the reference image data of the target plant.
6. The method according to claim 1, wherein after the step of monitoring the changing characteristics of the plant genetic relationship network data in step S33, the method further comprises:
and carrying out encrypted browsing and checking on the change characteristics of the plant genetic relationship network data, placing the encrypted information into an arams variable of an ArrayList type, extracting an abstract of the change characteristics of the plant genetic relationship network data by adopting an MD5 encryption algorithm, carrying out information-abstract type one-way encryption, and storing the abstract in a database.
7. A plant data supervision system based on a genetic network is characterized by comprising:
the genetic network construction module is used for constructing a genetic relationship network between plants corresponding to the target plants through target plant attribute analysis and target plant incidence relationship analysis based on reference image data of the target plants;
the data sending module is used for sending the genetic relationship network among the plants to a client so that the client can extract the genetic relationship among the plants from the network, and initiates a query and supervision request for target plant genetic relationship data according to the genetic relationship among the plants;
the data supervision module is used for monitoring and managing a circulation path of the genetic relationship between the target plants based on the query and supervision request;
when the genetic relationship network between the plants is constructed by the genetic network construction module, the following procedures are executed:
acquiring reference image data of the target plant;
acquiring all attribute information of the target plants, and the inter-plant family relationship and the inter-plant region circulation relationship by analyzing the reference image data;
establishing Key-value network nodes according to the unique plant identification code Key and the attribute information value of the plant, establishing relationship edges among the network nodes according to the same family relationship among the plants and the region circulation relationship among the plants, and acquiring the genetic relationship network among the plants;
the step of obtaining all attribute information of the target plant further comprises: respectively acquiring variety attribute information, habit attribute information, cultivation notice attribute information and import and export attribute information of the target plant;
when the data supervision module monitors and manages the circulation path of the genetic relationship between the target plants, the following processing procedures are executed:
querying the stored data of the genetic relationship network diagram among the corresponding plants by using a diagram query language LIKQ based on the query request in the query and supervision request;
reading a genetic relationship graph structure of the genetic relationship network graph data among the plants by adopting an MVC (model view controller) architecture mode, and separating genetic relationship data display, genetic relationship data processing and genetic relationship data storage;
and monitoring the change characteristics of the plant genetic relationship network data by acquiring a Listener monitor in TelephonyManager service by utilizing a Spring architecture mode based on the monitoring request in the query and monitoring request, and performing the processing of the plant genetic relationship data transaction logic.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810118814.3A CN108460105B (en) | 2018-02-06 | 2018-02-06 | Plant data supervision method and system based on genetic network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810118814.3A CN108460105B (en) | 2018-02-06 | 2018-02-06 | Plant data supervision method and system based on genetic network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108460105A CN108460105A (en) | 2018-08-28 |
| CN108460105B true CN108460105B (en) | 2021-05-04 |
Family
ID=63239736
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810118814.3A Expired - Fee Related CN108460105B (en) | 2018-02-06 | 2018-02-06 | Plant data supervision method and system based on genetic network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108460105B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113796300A (en) * | 2021-09-24 | 2021-12-17 | 中国农业科学院都市农业研究所 | Plant factory and plant culture method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101853305A (en) * | 2010-06-11 | 2010-10-06 | 湖南大学 | Method for establishing comprehensive agricultural environmental information database |
| CN101962671A (en) * | 2009-07-23 | 2011-02-02 | 王颖 | Method for establishing phylogenetic tree aiming at target gene of target organism |
| CN102419763A (en) * | 2010-10-07 | 2012-04-18 | 刘扬亮 | Internet-based method and system for electronically querying plant information |
| CN106599099A (en) * | 2016-11-19 | 2017-04-26 | 张高乐 | Medicinal animal image database management system |
| CN107562964A (en) * | 2017-10-17 | 2018-01-09 | 山东省农业科学院玉米研究所 | A kind of crops pedigree construction method, database, retroactive method and system |
-
2018
- 2018-02-06 CN CN201810118814.3A patent/CN108460105B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101962671A (en) * | 2009-07-23 | 2011-02-02 | 王颖 | Method for establishing phylogenetic tree aiming at target gene of target organism |
| CN101853305A (en) * | 2010-06-11 | 2010-10-06 | 湖南大学 | Method for establishing comprehensive agricultural environmental information database |
| CN102419763A (en) * | 2010-10-07 | 2012-04-18 | 刘扬亮 | Internet-based method and system for electronically querying plant information |
| CN106599099A (en) * | 2016-11-19 | 2017-04-26 | 张高乐 | Medicinal animal image database management system |
| CN107562964A (en) * | 2017-10-17 | 2018-01-09 | 山东省农业科学院玉米研究所 | A kind of crops pedigree construction method, database, retroactive method and system |
Non-Patent Citations (3)
| Title |
|---|
| An updated megaphylogeny of plants, a tool for generating plant phylogenies and an analysis of phylogenetic community structure;Hong Qian等;《Journal of Plant Ecology》;20160430;第9卷(第2期);第233-239页 * |
| 基于Web 数据库技术的植物检索信息系统的设计与实现;田洪阵 等;《许昌学院院报》;20060930;第25卷(第5期);第81-84页 * |
| 甘肃省高等植物物种数据库信息管理系统;祁发尧;《甘肃林业科技》;20081231;第33卷(第4期);第53-55页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108460105A (en) | 2018-08-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11916764B1 (en) | Server-side operations for edge analytics | |
| US10331740B2 (en) | Systems and methods for operating a server-side data abstraction layer | |
| TWI290698B (en) | System and method for updating and displaying patent citation information | |
| US20110161310A1 (en) | Database query plan analysis and difference processing | |
| CN110134800A (en) | A kind of document relationships visible processing method and device | |
| US20050234878A1 (en) | Method of managing and providing parameterized queries | |
| US20160070751A1 (en) | Database management system | |
| US10078624B2 (en) | Method of generating hierarchical data structure | |
| CN108460105B (en) | Plant data supervision method and system based on genetic network | |
| Fosić et al. | Graph database approach for data storing, presentation and manipulation | |
| CN104951565A (en) | XML configuration maintenance method and system based on memory database | |
| CN110472596A (en) | It is a kind of agricultural fining plantation and disaster prevention control system | |
| Fukuda et al. | Perceptional retrieving method for distributed design image database system | |
| CN102147794A (en) | Multi-database caption display method and device based on SQL (structured query language) sentence | |
| US11537568B1 (en) | Efficient data processing for schema changes | |
| Hyun et al. | Implementation of docker-based smart greenhouse data analysis platform | |
| KR102247778B1 (en) | Image curation method and system | |
| KR102508557B1 (en) | A method of providing plants information | |
| Drutter et al. | Augmented reality based sensor data visualization for plant growth monitoring | |
| Gür | Modeling, Annotating, and Querying Geo-Semantic Data Warehouses | |
| Nakabasami et al. | Optimization of row pattern matching over sequence data in spark SQL | |
| KR102347028B1 (en) | System and method for providing rmi of shared images rights | |
| CN107832314A (en) | Towards the search engine feature extracting method and device of oil field geologic object | |
| US20220392196A1 (en) | Method and system for mapping and identification of objects | |
| KR20110081088A (en) | Rfid based seed orchard management system and method thereof |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210504 Termination date: 20220206 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |