CN115168394A - Plant health state evaluation system based on database - Google Patents

Plant health state evaluation system based on database Download PDF

Info

Publication number
CN115168394A
CN115168394A CN202210801578.1A CN202210801578A CN115168394A CN 115168394 A CN115168394 A CN 115168394A CN 202210801578 A CN202210801578 A CN 202210801578A CN 115168394 A CN115168394 A CN 115168394A
Authority
CN
China
Prior art keywords
data
module
plant
information
database
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.)
Withdrawn
Application number
CN202210801578.1A
Other languages
Chinese (zh)
Inventor
彭丹
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Weihai Vocational College
Original Assignee
Weihai Vocational College
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Weihai Vocational College filed Critical Weihai Vocational College
Priority to CN202210801578.1A priority Critical patent/CN115168394A/en
Publication of CN115168394A publication Critical patent/CN115168394A/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/242Query formulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Business, Economics & Management (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Animal Husbandry (AREA)
  • General Health & Medical Sciences (AREA)
  • Agronomy & Crop Science (AREA)
  • Software Systems (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Fuzzy Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a plant health state evaluation system based on a database, which comprises: the system comprises an information input module used for inputting evaluation information data and query data, and a storage database used for storing query plant data and planting area data; the plant health state evaluation system comprises a data matching module, a comprehensive evaluation module, an information query module and a display module, wherein the data matching module is used for calling data stored in a storage database based on data input in an information input module and transmitting the called data, the comprehensive evaluation module is used for evaluating the health state of plants based on the data transmitted by the data matching module and obtaining evaluation results, the information query module is used for transmitting data based on a big data technology and the data matching module and outputting planting area maintenance information, and the display module is used for displaying the evaluation results and the planting area maintenance information. And the manual input module is used for manually inputting plant data and planting area data to be stored. The system can evaluate the health state of different plants in each growth stage, thereby saving a large amount of human resources.

Description

Plant health state evaluation system based on database
Technical Field
The invention belongs to the field of plant maintenance, and particularly relates to a plant health state evaluation system based on a database.
Background
Along with the continuous acceleration of the urbanization process, the landscaping status is improved, the demand of ornamental plants is increased, and the aesthetic sights of people are not limited to some traditional ornamental plants. This means that more plants with good ornamental properties are required to meet the needs of people, and many new and different ornamental plant species should be generated. However, what the true appreciation of these varieties is requires comparative analysis and comprehensive evaluation of some specific varieties, and some varieties with both good appreciation and good resistance in the true sense are summarized.
In the process of analyzing the growth state of plants, growth factors required by the plants, such as temperature, light, air composition and soil conditions, need to be monitored in real time. For greenhouse environments, these data are more sensitive, directly related to the growth of ornamental plants and ultimately flowering. However, most of the traditional plant maintenance needs manual data acquisition, which causes waste of manpower and material resources, and most of the traditional plant maintenance is implemented according to traditional experiences, and cultivation is performed according to the planting experiences in the past seasons, and the experiences generally generate great differences along with different regional characteristics and changes of local environments, so that the accuracy of evaluation is difficult to ensure.
Disclosure of Invention
The present invention is directed to a database-based plant health status assessment system, which solves the above problems of the prior art.
In order to achieve the above object, the present invention provides a database-based plant health status assessment system, comprising:
the system comprises an information input module, a storage database, a data matching module, a comprehensive evaluation module, an information query module, a display module and a manual output module;
the information input module is used for inputting evaluation information data and query data;
the storage database is used for storing inquired plant data and planting area data;
the data matching module is used for calling the data stored in the storage database based on the data input in the information input module and transmitting the called data to the comprehensive evaluation module or the information query module;
the comprehensive evaluation module is used for evaluating the health state of the plant based on the data transmitted by the data matching module, acquiring an evaluation result and transmitting the evaluation result to the display module;
the information query module is used for outputting planting area maintenance information based on a big data technology and the data transmitted by the data matching module and transmitting the planting area maintenance information to the display module;
the display module is used for displaying the evaluation result and the planting area maintenance information;
the manual input module is used for manually inputting plant data and planting area data to be stored into the storage database.
Optionally, the evaluation information data includes plant species, plant growth images; the query data comprises the region, the plant species and the planting region type.
Optionally, the plant data in the storage database comprises appearance characteristic images and nutrient content ratios of different kinds of plants at various growth stages;
the planting area data comprises regional characteristics, planting area types and distribution conditions of different regions.
Optionally, when the information input in the information entry module is evaluation information data, the data matching module retrieves plant data matched with plant species in the storage database, and transmits the evaluation information data and the plant data to the comprehensive evaluation module;
when the input information is query data, the data matching module calls planting area data matched with the query data in the storage database and transmits the query data and the planting area data to the information query module.
Optionally, when plant data matched with plant species does not exist in the storage database, the data matching module generates a feedback instruction and transmits the feedback instruction to the storage database;
the data storage module acquires and stores plant data matched with plant species based on an internet big data technology, and transmits the acquired plant data to the data matching module.
Optionally, the comprehensive evaluation module compares the plant growth image in the evaluation information data with the appearance characteristic image in the plant data to determine the type of the plant in the image;
extracting the characteristics of the plant growth images in the evaluation information data, inputting the extracted characteristics into a convolutional neural network for training, and acquiring the growth stage and the nutrient content of the plants in the images;
comparing the obtained nutrient content with the nutrient content of the corresponding growth stage in the plant data to obtain a comparison result;
and evaluating the health state of the plants based on the comparison result.
Optionally, the information query module queries information related to the retrieved data by using an internet technology based on the data retrieved by the data matching module, and acquires corresponding planting area maintenance information by combining the type, the regional characteristics and the distribution condition of the planting area obtained after matching.
Optionally, when the plant data input by the manual input module is the same as the plant data in the storage database in type and different in value, replacing the data value in the storage database of the same type.
The invention has the technical effects that:
the invention provides a plant health state evaluation system based on a database and the Internet, which can simultaneously support online and offline operations and save a large amount of human resources, can evaluate the health states of different types of plants in each growth stage by comparing image characteristics, outputs corresponding maintenance schemes according to regional characteristics and planting area distribution conditions of different regions, and simultaneously supports manual input of plant data, so that a user can more accurately evaluate the plant health state in combination with actual planting conditions.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a diagram illustrating a database-based plant health status assessment system according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
Example one
As shown in fig. 1, the present embodiment provides a plant health status evaluation system based on a database, including:
the system comprises an information input module, a storage database, a data matching module, a comprehensive evaluation module, an information query module, a display module and a manual output module;
the information input module is used for inputting evaluation information data and query data;
the evaluation information data input by the information input module comprises plant species and plant growth images; the input query data comprises the region, the plant species and the planting area type.
The storage database is used for storing and inquiring plant data and planting area data; the plant data stored in the database comprise appearance characteristic images and nutrient content ratios of different kinds of plants at each growth stage;
the planting area data in the storage database comprises the regional characteristics, planting area types and distribution conditions of different regions.
The data matching module is used for calling data stored in the storage database based on the data input in the information input module, transmitting the input data to the comprehensive evaluation module when the input data is evaluation information data, and transmitting query data to the information query module when the input data is query data.
The comprehensive evaluation module is used for evaluating the health state of the plant based on the data transmitted by the data matching module, acquiring an evaluation result and transmitting the evaluation result to the display module;
the information query module is used for outputting planting area maintenance information based on the data transmitted by the big data technology and the data matching module and transmitting the planting area maintenance information to the display module;
the display module is used for displaying the evaluation result and the maintenance information of the planting area; the display module in this embodiment can include liquid crystal display, remove end APP.
The manual input module is used for manually inputting plant data and planting area data to be stored into the storage database.
In some embodiments, when the information input in the information input module is evaluation information data, the data matching module calls plant data matched with plant species in the storage database and transmits the evaluation information data and the plant data to the comprehensive evaluation module;
when the input information is query data, the data matching module calls planting area data matched with the query data in the storage database and transmits the query data and the planting area data to the information query module.
In some embodiments, when plant data matched with plant species does not exist in the storage database, and the data matching module cannot perform accurate matching, the data matching module generates a feedback instruction and transmits the feedback instruction to the storage database;
after receiving the feedback instruction, the data storage module acquires and stores the plant data matched with the plant species based on the Internet big data technology, and transmits the acquired plant data to the data matching module.
In some embodiments, the comprehensive evaluation module compares the plant growth image in the evaluation information data with the appearance characteristic image in the plant data to determine the plant type in the image;
after the types of the plants are determined, the comprehensive evaluation module performs feature extraction on the plant growth images in the evaluation information data and the plant data called by the data matching module to obtain image feature data and plant feature data, performs spatial transformation operations including rotation, turning, displacement and the like on all the extracted feature data, and establishes a spatial corresponding relation group of the image feature data and the plant feature data. And establishing a spatial three-dimensional space coordinate system, selecting a geometric transformation model which can best fit the change between the two groups of data according to the condition of geometric distortion in the space corresponding relation group, then carrying out coordinate transformation, and carrying out corresponding parameter transformation on the image characteristic data and the plant characteristic data to ensure that the image characteristic data and the plant characteristic data are in the same coordinate system as the conventional data.
Converting the image characteristic data and the plant growth image data according to the positions of all the characteristics in a space coordinate system, extracting data parameters for registration, wherein the variation amplitude of the parameters for registration is 10%, and when the variation amplitude exceeds 10%, the plant growth stage is determined to be increased;
comparing the obtained nutrient content with the nutrient content of the corresponding growth stage in the plant data to obtain a comparison result; and evaluating the health state of the plants based on the comparison result.
In some embodiments, the information query module automatically queries information related to the retrieved data by using internet technology based on the data retrieved by the data matching module, and acquires corresponding planting area maintenance information by combining the type, the regional characteristics and the plant distribution condition of the planting area obtained after matching.
In some embodiments, since the user has the actual plant type and planting characteristics, the plant data to be stored can be manually input into the storage database, and when the plant data input by the manual input module is the same as the plant data type in the storage database and has different values, the data values of the same type in the storage database are updated and replaced.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (8)

1. A database-based plant health assessment system, comprising:
the system comprises an information input module, a storage database, a data matching module, a comprehensive evaluation module, an information query module, a display module and a manual input module;
the information input module is used for inputting evaluation information data and query data;
the storage database is used for storing and inquiring plant data and planting area data;
the data matching module is used for calling data stored in the storage database based on the data input in the information input module and transmitting the called data to the comprehensive evaluation module or the information query module;
the comprehensive evaluation module is used for evaluating the health state of the plant based on the data transmitted by the data matching module, acquiring an evaluation result and transmitting the evaluation result to the display module;
the information query module is used for outputting planting area maintenance information based on a big data technology and the data transmitted by the data matching module and transmitting the planting area maintenance information to the display module;
the display module is used for displaying the evaluation result and the planting area maintenance information;
the manual input module is used for manually inputting plant data and planting area data to be stored into the storage database.
2. The database-based plant health assessment system according to claim 1, wherein said assessment information data comprises plant species, plant growth images; the query data comprises the region, the plant species and the planting region type.
3. The database-based plant health assessment system according to claim 1, wherein the plant data in said stored database comprises appearance feature images, nutrient content ratios of different kinds of plants at various growth stages;
the planting area data comprises regional characteristics, planting area types and distribution conditions of different regions.
4. The database-based plant health status assessment system according to claim 1, wherein when the information inputted in the information entry module is assessment information data, the data matching module retrieves plant data in the storage database matching plant species and transmits the assessment information data and the plant data to the comprehensive assessment module;
when the input information is query data, the data matching module calls planting area data matched with the query data in the storage database and transmits the query data and the planting area data to the information query module.
5. The database-based plant health assessment system according to claim 1, wherein when there is no plant data matching the plant species in the stored database, the data matching module generates a feedback instruction and transmits the feedback instruction to the stored database;
the data storage module acquires and stores plant data matched with plant species based on an internet big data technology, and transmits the acquired plant data to the data matching module.
6. The database-based plant health assessment system according to claim 1, wherein said comprehensive assessment module compares the plant growth image in said assessment information data with the appearance feature image in said plant data to determine the plant species in the image;
extracting the characteristics of the plant growth image in the evaluation information data, inputting the extracted characteristics into a convolutional neural network for training, and acquiring the growth stage and the nutrient content of the plant in the image;
comparing the obtained nutrient content with the nutrient content of the corresponding growth stage in the plant data to obtain a comparison result;
and evaluating the health state of the plants based on the comparison result.
7. The database-based plant health status assessment system according to claim 1, wherein the information query module queries information related to the retrieved data by using internet technology based on the data retrieved by the data matching module, and acquires corresponding plant area maintenance information by combining the plant area type, geographical features, and distribution obtained after matching.
8. The database-based plant health assessment system according to claim 1, wherein when the plant data inputted by said manual input module is of the same type and different value as the plant data in said stored database, the same type of data value in said stored database is replaced.
CN202210801578.1A 2022-07-08 2022-07-08 Plant health state evaluation system based on database Withdrawn CN115168394A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210801578.1A CN115168394A (en) 2022-07-08 2022-07-08 Plant health state evaluation system based on database

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210801578.1A CN115168394A (en) 2022-07-08 2022-07-08 Plant health state evaluation system based on database

Publications (1)

Publication Number Publication Date
CN115168394A true CN115168394A (en) 2022-10-11

Family

ID=83492871

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210801578.1A Withdrawn CN115168394A (en) 2022-07-08 2022-07-08 Plant health state evaluation system based on database

Country Status (1)

Country Link
CN (1) CN115168394A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7329290B1 (en) * 2023-02-16 2023-08-18 株式会社アンフランジ Program, seed growth admiration management device and method
CN116796925A (en) * 2023-06-13 2023-09-22 碳融汇(北京)技术有限公司 Plant growth evaluation system based on multiple information

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7329290B1 (en) * 2023-02-16 2023-08-18 株式会社アンフランジ Program, seed growth admiration management device and method
CN116796925A (en) * 2023-06-13 2023-09-22 碳融汇(北京)技术有限公司 Plant growth evaluation system based on multiple information
CN116796925B (en) * 2023-06-13 2024-03-15 知晓(北京)通信科技有限公司 Plant growth evaluation system based on multiple information

Similar Documents

Publication Publication Date Title
CN115168394A (en) Plant health state evaluation system based on database
US20240087056A1 (en) Method for assisting user in caring for plant, computer system and storage medium
JP2007310463A (en) Farm field management support method and system
KR101935008B1 (en) Distribution and Management Method for agricultural products using growth information of agricultural products
KR20210109575A (en) Information processing devices and information processing systems
CN105891420A (en) Method for intelligently analyzing plant growth states by means of big data
CN116721236A (en) Digital twin greenhouse planting monitoring method, system and storage medium
Scalisi et al. Detecting, mapping and digitising canopy geometry, fruit number and peel colour in pear trees with different architecture
KR20030018604A (en) Production management system for agriculture and fisheries
Lamour et al. Spatial analysis and mapping of banana crop properties: issues of the asynchronicity of the banana production and proposition of a statistical method to take it into account
CN105869061A (en) Method for analyzing plant growth state through computer
Deepthi et al. Application of expert systems for agricultural crop disease diagnoses—A review
CN117770106A (en) Digital twinning-based farmland irrigation method
CN116757707A (en) Crop fruit growth tracing method and system
CN113010529A (en) Crop management method and device based on knowledge graph
CN110889019A (en) Novel graphical description method for power load
CN115187794A (en) Data detection and analysis system for landscape plant growth environment
CN112488869B (en) Multi-factor management decision-making system suitable for agricultural production
CN113609106A (en) Farming weather data processing method, farming weather data processing device, farming weather data processing equipment and storage medium
CN114004463A (en) Visual intelligent agricultural big data analysis management system and method
KR20210056213A (en) Farm operating information providing system
CN113408666A (en) Greenhouse green plant cultivation method for landscape
Srinivasan et al. Making the invisible visible: Co-learning guided development of an operational tool for irrigation management
CN117851458B (en) Forest and grass resource data query method and system capable of achieving rapid spatial positioning
AU2021100096A4 (en) Ai-based crop recommendation system for smart farming towards agriculture 5.0

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
WW01 Invention patent application withdrawn after publication
WW01 Invention patent application withdrawn after publication

Application publication date: 20221011