Flue-cured tobacco variety evaluation method and system
By statistically analyzing and standardizing the economic trait data and basic data of tobacco cured varieties, the evaluation scores were calculated, and the problems of low efficiency and inaccurateness of traditional evaluation methods were solved, and more accurate and efficient evaluation of tobacco cured varieties were achieved.
Patent Information
- Application Number
- CN202411554514.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-02-25
AI Technical Summary
The traditional flue-cured tobacco variety evaluation methods are inefficient and error-prone, and it is difficult to quickly conduct data statistics and analysis, so it is impossible to provide accurate flue-cured tobacco variety evaluation support.
By obtaining economic trait data and basic data of tobacco-cured tobacco varieties, conducting statistical analysis, standardizing the original data, and calculating evaluation scores through weighted summing, providing a systematic evaluation method and system.
It improves the accuracy and efficiency of flue-cured tobacco variety evaluation, provides scientific and objective comprehensive scores, and helps optimize flue-cured tobacco production.
Smart Images

Figure CN119515154A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of agricultural information management technology, and specifically to an evaluation method and system for flue-cured tobacco varieties. Background Art
[0002] Flue-cured tobacco is the main raw material of the cigarette industry and an important cash crop, occupying an important position in the tobacco industry. Evaluating the quality of flue-cured tobacco varieties will help adjust the production of flue-cured tobacco and further promote economic development.
[0003] Traditionally, the weight of flue-cured tobacco is weighed manually and the index data of flue-cured tobacco is recorded on paper, which is inefficient, error-prone, and difficult to quickly perform data statistics and analysis. The development of information technology has promoted the application of data management tools in agriculture. Currently, intelligent data recording methods are used, but there are still deficiencies in data analysis, and it is impossible to provide accurate support for the evaluation of flue-cured tobacco varieties. Summary of the invention
[0004] In view of this, the present application provides a method and system for evaluating flue-cured tobacco varieties, which improves the accuracy of flue-cured tobacco variety evaluation by performing statistical analysis on economic trait data and basic data of flue-cured tobacco varieties.
[0005] To solve the above problems, the technical solutions provided by this application are as follows:
[0006] In a first aspect, the present application provides an evaluation method for flue-cured tobacco varieties, the evaluation method comprising:
[0007] Obtaining economic trait data and basic data of flue-cured tobacco varieties; the economic trait data includes variety name, grade number, and weight; the basic data includes variety name, planting density, number of plants planted, and grade purchase unit price;
[0008] Performing statistical analysis on the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data; the flue-cured tobacco statistical analysis data includes original per-acre yield data, original per-acre output value data, and original average price data;
[0009] Performing standardization operations on the original per-acre yield data, the original per-acre output value data, and the original average price data to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data;
[0010] Based on the standard per-acre yield data, the standard per-acre output value data and the standard average price data, the evaluation score of the flue-cured tobacco variety is calculated by weighted summation.
[0011] In a possible implementation, the performing of statistical analysis on the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data includes:
[0012] determining a cell yield based on the weight;
[0013] Determine the production value of the plot based on the grade number, the weight and the grade purchase unit price;
[0014] Determine the original average price data based on the cell output and the cell output value;
[0015] Determine the original per-acre yield data based on the plot yield, the planting density and the number of plants planted;
[0016] The original per-acre output value data is determined based on the plot output value, the planting density and the number of planted plants.
[0017] In a possible implementation, the original per-acre yield data, the original per-acre output value data, and the original average price data are standardized to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data, including:
[0018] The minimum-maximum normalization method is adopted to perform standardization operations on the original per-acre yield data, the original per-acre output value data and the original average price data to obtain standard per-acre yield data, standard per-acre output value data and standard average price data.
[0019] In a possible implementation, the obtaining of economic trait data and basic data of flue-cured tobacco varieties includes:
[0020] Obtain economic trait data and basic data of flue-cured tobacco varieties from a preset storage database;
[0021] Among them, the weight of the flue-cured tobacco varieties is collected using an electronic scale with Bluetooth text data transmission function; the variety name, grade number, planting density, number of plants planted and grade purchase unit price of the flue-cured tobacco varieties are submitted data entered by the user.
[0022] In a possible implementation, the flue-cured tobacco statistical analysis data further includes the proportion of high-quality tobacco, and the evaluation method further includes:
[0023] sorting the flue-cured tobacco varieties based on the evaluation scores of the flue-cured tobacco varieties;
[0024] The economic trait data, the basic data and the flue-cured tobacco statistical analysis data of the sorted flue-cured tobacco varieties are displayed in the form of a table.
[0025] In one possible implementation, the evaluation method further includes:
[0026] Acquire a flue-cured tobacco variety comparison request triggered by a user, wherein the flue-cured tobacco variety comparison request carries a plurality of flue-cured tobacco varieties to be compared;
[0027] In response to the flue-cured tobacco variety comparison request, obtaining standard per-acre yield data, standard per-acre output value data, and standard average price data of a plurality of flue-cured tobacco varieties;
[0028] The standard per-acre yield data, standard per-acre output value data and standard average price data of multiple flue-cured tobacco varieties are displayed in the form of a radar chart.
[0029] In a second aspect, the present application provides an evaluation system for flue-cured tobacco varieties, the evaluation system comprising:
[0030] The data acquisition module is used to acquire the economic trait data and basic data of the flue-cured tobacco varieties; the economic trait data includes the variety name, grade number, and weight; the basic data includes the variety name, planting density, number of plants planted, and grade purchase unit price;
[0031] A data statistical analysis module is used to perform statistical analysis on the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data; the flue-cured tobacco statistical analysis data includes original per-acre yield data, original per-acre output value data and original average price data;
[0032] A data standardization module is used to perform standardization operations on the original per-acre yield data, the original per-acre output value data, and the original average price data to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data;
[0033] The data calculation module is used to calculate the evaluation score of the flue-cured tobacco variety by weighted summation based on the standard per-acre yield data, the standard per-acre output value data and the standard average price data.
[0034] In a possible implementation, the data statistical analysis module is specifically used to:
[0035] Determine the plot yield based on the weight; determine the plot output value based on the grade number, the weight and the grade purchase unit price; determine the original average price data based on the plot yield and the plot output value; determine the original per-acre yield data based on the plot yield, the planting density and the number of planted plants; determine the original per-acre output value data based on the plot output value, the planting density and the number of planted plants.
[0036] In one possible implementation, the data standardization module is specifically used to: use the minimum-maximum normalization method to standardize the original per-acre yield data, the original per-acre output value data, and the original average price data to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data.
[0037] In a possible implementation, the data acquisition module is specifically used to:
[0038] The economic traits data and basic data of the flue-cured tobacco varieties are obtained from the preset storage database; the weight of the flue-cured tobacco varieties is collected using an electronic scale with Bluetooth text data transmission function; the variety name, grade number, planting density, number of plants planted and grade purchase unit price of the flue-cured tobacco varieties are submitted data entered by the user.
[0039] In a possible implementation, the flue-cured tobacco statistical analysis data further includes the proportion of high-quality tobacco, and the evaluation system further includes:
[0040] A sorting module, used for sorting the flue-cured tobacco varieties based on the evaluation scores of the flue-cured tobacco varieties;
[0041] The display module is used to display the economic trait data, the basic data and the flue-cured tobacco statistical analysis data of the sorted flue-cured tobacco varieties in the form of a table.
[0042] In one possible implementation, the evaluation method further includes:
[0043] A request acquisition module, used to acquire a flue-cured tobacco variety comparison request triggered by a user, wherein the flue-cured tobacco variety comparison request carries a plurality of flue-cured tobacco varieties to be compared;
[0044] The data acquisition module is further used to respond to the flue-cured tobacco variety comparison request and acquire the standard per-acre yield data, standard per-acre output value data and standard average price data of the plurality of flue-cured tobacco varieties;
[0045] The display module is used to display the standard per-acre yield data, standard per-acre output value data and standard average price data of multiple flue-cured tobacco varieties in the form of a radar chart.
[0046] In a third aspect, an embodiment of the present application provides a flue-cured tobacco variety evaluation device, the device comprising: a processor, a memory, and a system bus;
[0047] The processor and the memory are connected via the system bus;
[0048] The memory is used to store one or more programs, and the one or more programs include instructions. When the instructions are executed by the processor, the processor executes the method for evaluating flue-cured tobacco varieties described in the first aspect.
[0049] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed on a device, the device executes the method for evaluating flue-cured tobacco varieties described in the first aspect.
[0050] It can be seen that this application has the following beneficial effects:
[0051] The embodiment of the present application provides an evaluation method for flue-cured tobacco varieties. First, the economic trait data and basic data of the flue-cured tobacco varieties are obtained. The economic trait data include the variety name, grade number, and weight, and the basic data include the variety name, planting density, number of plants, and grade purchase unit price. Secondly, the economic trait data and basic data are statistically analyzed to obtain flue-cured tobacco statistical analysis data, which include original per mu yield data, original per mu output value data, and original average price data. Then, the original per mu yield data, the original per mu output value data, and the original average price data are standardized to obtain standard per mu yield data, standard per mu output value data, and standard average price data. Finally, based on the standard per mu yield data, the standard per mu output value data, and the standard average price data, the evaluation score of the flue-cured tobacco variety is calculated by weighted summation. In this way, the economic trait data and basic data of the flue-cured tobacco variety are statistically analyzed, and the data obtained by the statistical analysis are processed by standardization and weighted summation to obtain the evaluation data of the flue-cured tobacco variety, thereby improving the accuracy of the evaluation of the flue-cured tobacco variety.
[0052] The embodiment of the present application also provides a system corresponding to the above method, which has the same beneficial effects as the above method. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0054] Figure 1 A schematic diagram of a flow chart of a method for evaluating flue-cured tobacco varieties provided in an embodiment of the present application;
[0055] Figure 2 A schematic diagram of a data transmission structure provided in an embodiment of the present application;
[0056] Figure 3 A schematic diagram of a Web service interface provided in an embodiment of the present application;
[0057] Figure 4 A schematic diagram of another web service interface provided in an embodiment of the present application;
[0058] Figure 5 A table showing a schematic diagram provided for an embodiment of the present application;
[0059] Figure 6 A schematic diagram of a radar chart provided in an embodiment of the present application;
[0060] Figure 7 A schematic diagram of the structure of a flue-cured tobacco variety evaluation system provided in an embodiment of the present application;
[0061] Figure 8 A schematic diagram of the structure of a flue-cured tobacco variety evaluation device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0062] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0063] In this application, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprise", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of further restrictions, the elements defined by the statement "comprising a ..." do not exclude the presence of other identical elements in the process, method, article or equipment including the elements.
[0064] Currently, the weight of flue-cured tobacco is measured manually, and the collected data is recorded using intelligent data recording methods. There are still deficiencies in data collection, data management, and data analysis, lack of systematic management and comprehensive evaluation methods for flue-cured tobacco varieties, and it is impossible to provide accurate evaluation support for flue-cured tobacco varieties.
[0065] Therefore, it is urgent to optimize the data collection, data management and data analysis of flue-cured tobacco varieties and develop corresponding systems to improve the efficiency and accuracy of data collection and data management. Through data analysis and the use of standardized comprehensive scoring methods for flue-cured tobacco varieties, scientific and objective comprehensive scores can be provided for the economic traits of flue-cured tobacco varieties, thereby improving the accuracy of evaluating flue-cured tobacco varieties.
[0066] In view of this, the embodiment of the present application provides an evaluation method and system for flue-cured tobacco varieties. First, the economic trait data and basic data of the flue-cured tobacco varieties are obtained. The economic trait data include the variety name, grade number, and weight, and the basic data include the variety name, planting density, number of plants, and grade purchase unit price. Secondly, the economic trait data and basic data are statistically analyzed to obtain flue-cured tobacco statistical analysis data, which include original per mu yield data, original per mu output value data, and original average price data. Then, the original per mu yield data, the original per mu output value data, and the original average price data are standardized to obtain standard per mu yield data, standard per mu output value data, and standard average price data. Finally, based on the standard per mu yield data, the standard per mu output value data, and the standard average price data, the evaluation score of the flue-cured tobacco variety is calculated by weighted summation. In this way, the economic trait data and basic data of the flue-cured tobacco variety are statistically analyzed, and the data obtained by the statistical analysis are processed by standardization and weighted summation to obtain the evaluation data of the flue-cured tobacco variety, thereby improving the accuracy of the evaluation of the flue-cured tobacco variety.
[0067] In order to facilitate understanding of the technical solution provided in the embodiment of the present application, a method and system for evaluating flue-cured tobacco varieties provided in the embodiment of the present application are described below in conjunction with the accompanying drawings.
[0068] See also Figure 1 , Figure 1 A schematic flow chart of a flue-cured tobacco variety evaluation method provided in an embodiment of the present application. The flue-cured tobacco variety evaluation method can be applied to a cloud service system, which is not limited in the embodiment of the present application and can be selected according to actual needs. The evaluation method specifically includes S101-S104.
[0069] S101: Obtain economic trait data and basic data of flue-cured tobacco varieties; the economic trait data include variety name, grade number, and weight; the basic data include variety name, planting density, number of plants planted, and grade purchase unit price.
[0070] In the embodiment of the present application, economic property data and basic data of flue-cured tobacco varieties can be obtained from a preset storage database. Required data can be extracted from the storage database by keyword search, screening, etc. The storage database is located in a server that is in communication connection with the cloud service system.
[0071] Before obtaining the economic trait data and basic data of the flue-cured tobacco varieties from the preset storage database, it is necessary to collect and record the economic trait data and basic data of the flue-cured tobacco varieties, and store the collected economic trait data and basic data of the flue-cured tobacco varieties in the preset storage database through the network to manage the collected data.
[0072] See also Figure 2 , Figure 2A schematic diagram of a data transmission composition architecture provided for an embodiment of the present application. In an embodiment of the present application, an electronic scale with a Bluetooth text data transmission function can be used to collect the weight of flue-cured tobacco varieties. The electronic scale can transmit the weight data of the weighed flue-cured tobacco varieties in the form of text to a mobile terminal via Bluetooth. The mobile terminal supports networking function and has a browser that can access Web services online. The mobile terminal may include but is not limited to mobile phones, tablet computers, etc.
[0073] Specifically, the user can input the collected weight data directly into the weight input box in the web interface of the mobile terminal through the transmission button of the electronic scale. This process is seamless, ensuring the accuracy and convenience of data collection.
[0074] Users log in to the Web service through mobile terminals. The Web service interface mainly includes project management and economic trait data entry of flue-cured tobacco varieties. Figure 3 , Figure 3 A schematic diagram of a Web service interface provided in the embodiment of the present application. Select a project and a field in the data configuration area, and enter the economic trait data of the flue-cured tobacco variety in the data entry area.
[0075] In the web interface, first perform project management. Users can pre-enter sample names and project names in the project management section. This section supports the download and upload of templates. Users can quickly complete the pre-entry of information such as the name of the flue-cured tobacco variety through batch operations, simplifying the operation process.
[0076] The economic traits data entry interface of flue-cured tobacco varieties includes options such as flue-cured tobacco variety selection, flue-cured tobacco grade selection, and flue-cured tobacco weight input. After triggering the entry interface of economic traits data of flue-cured tobacco varieties, the user can complete data entry by selecting or entering the name of the flue-cured tobacco variety, selecting the grade number, and entering the weight.
[0077] After the user selects the grade number of the flue-cured tobacco variety in the Web service interface, the cursor will automatically jump to the weight entry box. The user only needs to transmit the weight data through the electronic scale buttons without manual input.
[0078] After verifying that all data are correct, the user can click the submit button to transmit the economic trait data of the flue-cured tobacco variety to the preset storage database via the network.
[0079] During the data transmission process, you can monitor and feedback in real time whether the data transmission is successful to ensure the validity of the data. When data transmission fails, you can choose to retransmit the failed data to avoid the inefficiency caused by retransmitting all data and occupying storage database space.
[0080] The storage database also stores basic data on flue-cured tobacco varieties.
[0081] See also Figure 4 , Figure 4 Another schematic diagram of a Web service interface provided for an embodiment of the present application. The Web service interface may also include basic data entry, where users can enter and manage data such as the name of the flue-cured tobacco variety, planting density, number of plants planted, and purchase unit prices of different grades, and transmit the entered basic data to the server via a wireless network. Among them, the planting density is set to 1,100 plants / acre by default, and this data can be adjusted according to actual conditions; planting density is an important parameter for calculating per-acre yield and per-acre output value, and users need to ensure its accuracy. Users can batch enter the number of plants planted for different samples by downloading and uploading templates. The sample name in the template is consistent with the variety name entered for the economic traits of the flue-cured tobacco variety to ensure the relevance and operability of the data.
[0082] The user can enter the purchase price of different grades of flue-cured tobacco according to the actual purchase price of the corresponding production area in the preset time period. The preset time period can be 365 days, and the setting of the preset time period can be adjusted according to actual needs. The purchase price of each grade is updated periodically according to the actual purchase price.
[0083] In order to facilitate users to comprehensively manage and maintain data, the data addition, deletion, modification and query functions are also provided. Users can add, delete, modify and query the economic trait data and basic data of the entered flue-cured tobacco varieties through the input box and submit button on the Web interface to ensure the integrity and accuracy of the data.
[0084] In one possible implementation, users can update the economic traits data and basic data of flue-cured tobacco varieties in the storage database based on periodically acquired data, which can provide the latest data information for subsequent data processing and analysis, ensure the real-time nature of the indicator data involved in the evaluation of flue-cured tobacco varieties, and improve the accuracy of the evaluation.
[0085] S102: Statistically analyzing the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data; the flue-cured tobacco statistical analysis data includes original per-acre yield data, original per-acre output value data, and original average price data.
[0086] Referring to steps S102-S104, a comprehensive statistical analysis and comprehensive evaluation of the economic trait data and basic data of the flue-cured tobacco varieties is performed. The collected data is systematically processed to calculate the quantitative values of the flue-cured tobacco statistical analysis data, that is, the quantitative values of the economic trait indicators are calculated, and a comprehensive score is given based on the indicators.
[0087] The statistical analysis data of flue-cured tobacco include original per-acre yield data, original per-acre output value data and original average price data. Among them, the original per-acre yield data is related to the plot yield, planting density and number of planted plants; the original per-acre output value data is related to the plot output value, planting density and number of planted plants; the original average price data is related to the plot yield and plot output value.
[0088] In a possible implementation, the performing of statistical analysis on the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data includes:
[0089] Determine the plot yield based on the weight; determine the plot output value based on the grade number, the weight and the grade purchase unit price; determine the original average price data based on the plot yield and the plot output value; determine the original per-acre yield data based on the plot yield, the planting density and the number of planted plants; determine the original per-acre output value data based on the plot output value, the planting density and the number of planted plants.
[0090] The plot yield (Kg) is the total yield in each plot, that is, the total weight of all tobacco leaves of each flue-cured tobacco variety. The plot output value (yuan) is the total output value in each plot, that is, the total selling price of all tobacco leaves of each flue-cured tobacco variety.
[0091] Original average price data (yuan / kg) = plot output value / plot output; that is, the average price per kilogram of tobacco leaves.
[0092] Original yield per mu data (Kg) = (plot yield × planting density) / number of plants planted; that is, tobacco leaf yield per mu of land.
[0093] Original per-acre output value data (yuan) = (plot output value × planting density) / number of plants planted; that is, the total value of tobacco leaves per acre.
[0094] The flue-cured tobacco statistical analysis data may also include the ratio of high-quality tobacco, where the ratio of high-quality tobacco=(weight of high-quality tobacco / total weight)×100%, indicating the ratio of high-quality tobacco leaves to the total tobacco leaves.
[0095] S103: performing standardization operations on the original per-acre yield data, the original per-acre output value data, and the original average price data to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data.
[0096] In a possible implementation, the original per-acre yield data, the original per-acre output value data, and the original average price data are standardized to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data, including:
[0097] The minimum-maximum normalization method is adopted to perform standardization operations on the original per-acre yield data, the original per-acre output value data and the original average price data to obtain standard per-acre yield data, standard per-acre output value data and standard average price data.
[0098] The original per-acre yield data, original per-acre output value data, and original average price data are converted into standardized scores using the minimum-maximum normalization method, so that all values are within the [0,1] interval. The standardization formula is:
[0099]
[0100] X′ is the standardized value, X is the original value, and X min and X max They are the minimum and maximum values corresponding to the indicators, which include per mu yield, per mu output value and average price.
[0101] For example, the original per-acre yield data is standardized. The minimum per-acre yield data is 700Kg and the maximum per-acre yield data is 1200Kg. The original per-acre yield data to be standardized is 900Kg, and its corresponding standard per-acre yield data is 0.4.
[0102] S104: Calculate the evaluation score of the flue-cured tobacco variety by weighted summation based on the standard per-acre yield data, the standard per-acre output value data, and the standard average price data.
[0103] Based on the standardized scores, namely the standard per-mu yield data, standard per-mu output value data and standard average price data, the scores of each indicator are converted into a percentage system, and the comprehensive score, i.e. the evaluation score, is calculated based on the preset weights.
[0104]
[0105] Among them, S is the evaluation score, ranging from 0 to 100; n is the number of indicators involved in the evaluation; w i is the weight of the ith indicator and satisfies
[0106] The indicators and weights involved in calculating the evaluation score can be set as follows: per mu output weight w1 = 1 / 3; per mu output value weight w2 = 1 / 3; average price weight w3 = 1 / 3. In the embodiment of the present application, the indicators and their corresponding weight values can be set according to actual needs to adapt to different evaluation focuses and achieve the purpose of accurate evaluation.
[0107] After the calculation is completed, the evaluation score can be stored in a preset storage database and used for data visualization operations.
[0108] The user selects the name of the project to be analyzed in the Web service interface. After clicking the Submit button, data analysis can be performed according to the above calculation method, and relevant statistical reports and comprehensive evaluation results can be generated.
[0109] Based on the contents of the above steps S101-S104, it can be known that the economic trait data and basic data of the flue-cured tobacco variety are obtained, and the economic trait data include the variety name, grade number, and weight, and the basic data include the variety name, planting density, number of plants planted, and grade purchase unit price. The economic trait data and basic data are statistically analyzed to obtain flue-cured tobacco statistical analysis data, which include original per mu yield data, original per mu output value data, and original average price data. The original per mu yield data, the original per mu output value data, and the original average price data are standardized to obtain standard per mu yield data, standard per mu output value data, and standard average price data. Based on the standard per mu yield data, the standard per mu output value data, and the standard average price data, the evaluation score of the flue-cured tobacco variety is calculated by weighted summation. In this way, the economic trait data and basic data of the flue-cured tobacco variety are statistically analyzed, and the data obtained by the statistical analysis are processed by standardization and weighted summation to obtain the evaluation data of the flue-cured tobacco variety. The invention solves the problems of low efficiency and inaccuracy in the existing evaluation process of economic traits of flue-cured tobacco, improves the accuracy of evaluation of flue-cured tobacco varieties, and also improves the efficiency of obtaining evaluation results.
[0110] In another embodiment of the present application, the flue-cured tobacco statistical analysis data and evaluation results of flue-cured tobacco varieties can be displayed in a graphical manner, so that users can intuitively and effectively understand and compare the economic traits of different flue-cured tobacco varieties, optimize the decision-making process, and provide data support for flue-cured tobacco variety improvement and breeding strategies.
[0111] In one possible implementation, the flue-cured tobacco statistical analysis data also includes the proportion of high-quality tobacco, and the evaluation method further includes: sorting the flue-cured tobacco varieties based on the evaluation scores of the flue-cured tobacco varieties; and displaying the economic trait data, the basic data and the flue-cured tobacco statistical analysis data of the sorted flue-cured tobacco varieties in the form of a table.
[0112] The flue-cured tobacco statistical analysis data may also include the proportion of medium-quality tobacco and the proportion of low-quality tobacco, and statistical analysis may be performed based on the data required by the user.
[0113] The web service interface also has a data visualization function, which displays the statistical analysis data of flue-cured tobacco in a table format. The table content includes at least the following indicators of each flue-cured tobacco variety: variety name, plot yield (Kg), plot output value (yuan), average price (yuan / Kg), proportion of high-quality tobacco (%), per mu yield (Kg), per mu output value (yuan).
[0114] See also Figure 5 , Figure 5A schematic diagram of a table display provided in an embodiment of the present application. A download link for flue-cured tobacco statistical analysis data may be provided above or below the table, allowing the user to export the data in Excel or CSV format for further analysis or archiving.
[0115] In one possible implementation, a flue-cured tobacco variety comparison request triggered by a user is obtained, the flue-cured tobacco variety comparison request carrying multiple flue-cured tobacco varieties that need to be compared; in response to the flue-cured tobacco variety comparison request, standard per-acre yield data, standard per-acre output value data, and standard average price data of the multiple flue-cured tobacco varieties are obtained; and the standard per-acre yield data, standard per-acre output value data, and standard average price data of the multiple flue-cured tobacco varieties are displayed in the form of a radar chart.
[0116] The user can trigger a flue-cured tobacco variety comparison request, which indicates that the index score of the flue-cured tobacco variety selected by the user is displayed through a radar chart. The index score is specifically a standardized score, that is, standard per-acre yield data, standard per-acre output value data, and standard average price data.
[0117] See also Figure 6 , Figure 6 A schematic diagram of a radar chart provided in an embodiment of the present application. The radar chart displays the scores of various indicators, with a score range of 0-100. The scores of different flue-cured tobacco varieties are distinguished by different colors or line types, so that users can intuitively compare the performance differences of various varieties on different indicators.
[0118] The user can also trigger a flue-cured tobacco variety score display request to obtain the indicator score of a flue-cured tobacco variety selected by the user.
[0119] In terms of data collection, the embodiment of the present application uses an electronic scale to connect to a mobile terminal via Bluetooth, so that the weight can be uploaded to the server in real time; and the data can be added, deleted, modified and checked, which improves the efficiency of data collection and data management. The collected data is statistically analyzed to obtain evaluation scores; the statistical analysis data and evaluation scores of different flue-cured tobacco varieties are displayed in the form of tables and radar charts, which significantly improves the efficiency of data entry and analysis and reduces manpower and time costs. The embodiment of the present application can effectively collect, manage, analyze and display data on flue-cured tobacco varieties, providing a scientific basis for the evaluation and selection of flue-cured tobacco varieties.
[0120] The above-mentioned embodiment of the present application provides an evaluation method for a flue-cured tobacco variety based on the above-mentioned embodiment. Next, an evaluation system for a flue-cured tobacco variety also provided in the embodiment of the present application is described, which is used to perform the above-mentioned Figure 1 The function of the evaluation system for flue-cured tobacco varieties is described. The structural diagram of the evaluation system for flue-cured tobacco varieties is shown in FIG. Figure 7 As shown, it includes a data acquisition module 701, a data statistical analysis module 702, a data standardization module 703 and a data calculation module 704.
[0121] in:
[0122] The data acquisition module 701 is used to acquire the economic trait data and basic data of the flue-cured tobacco varieties; the economic trait data includes the variety name, grade number, and weight; the basic data includes the variety name, planting density, number of plants planted, and grade purchase unit price;
[0123] The data statistical analysis module 702 is used to perform statistical analysis on the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data; the flue-cured tobacco statistical analysis data includes original per-acre yield data, original per-acre output value data and original average price data;
[0124] The data standardization module 703 is used to perform standardization operations on the original per-mu yield data, the original per-mu output value data, and the original average price data to obtain standard per-mu yield data, standard per-mu output value data, and standard average price data;
[0125] The data calculation module 704 is used to calculate the evaluation score of the flue-cured tobacco variety by weighted summation based on the standard per-acre yield data, the standard per-acre output value data and the standard average price data.
[0126] In a possible implementation, the data statistical analysis module 702 is specifically used to:
[0127] Determine the plot yield based on the weight; determine the plot output value based on the grade number, the weight and the grade purchase unit price; determine the original average price data based on the plot yield and the plot output value; determine the original per-acre yield data based on the plot yield, the planting density and the number of planted plants; determine the original per-acre output value data based on the plot output value, the planting density and the number of planted plants.
[0128] In one possible implementation, the data standardization module 703 is specifically used to: use the minimum-maximum normalization method to standardize the original per-acre yield data, the original per-acre output value data, and the original average price data to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data.
[0129] In a possible implementation, the data acquisition module 701 is specifically used to:
[0130] The economic traits data and basic data of the flue-cured tobacco varieties are obtained from the preset storage database; the weight of the flue-cured tobacco varieties is collected using an electronic scale with Bluetooth text data transmission function; the variety name, grade number, planting density, number of plants planted and grade purchase unit price of the flue-cured tobacco varieties are submitted data entered by the user.
[0131] In a possible implementation, the flue-cured tobacco statistical analysis data further includes the proportion of high-quality tobacco, and the evaluation system further includes:
[0132] A sorting module, used for sorting the flue-cured tobacco varieties based on the evaluation scores of the flue-cured tobacco varieties;
[0133] The display module is used to display the economic trait data, the basic data and the flue-cured tobacco statistical analysis data of the sorted flue-cured tobacco varieties in the form of a table.
[0134] In one possible implementation, the evaluation method further includes:
[0135] A request acquisition module, used to acquire a flue-cured tobacco variety comparison request triggered by a user, wherein the flue-cured tobacco variety comparison request carries a plurality of flue-cured tobacco varieties to be compared;
[0136] The data acquisition module 701 is further used to respond to the flue-cured tobacco variety comparison request and acquire the standard per-acre yield data, standard per-acre output value data and standard average price data of the plurality of flue-cured tobacco varieties;
[0137] The display module is used to display the standard per-acre yield data, standard per-acre output value data and standard average price data of multiple flue-cured tobacco varieties in the form of a radar chart.
[0138] The embodiment of the present application provides an evaluation system for flue-cured tobacco varieties, including a data acquisition module, a data statistical analysis module, a data standardization module and a data calculation module. The data acquisition module is used to obtain economic trait data and basic data of flue-cured tobacco varieties; the economic trait data includes variety name, grade number, and weight; the basic data includes variety name, planting density, number of planting plants, and grade purchase unit price. The data statistical analysis module is used to perform statistical analysis on the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data; the flue-cured tobacco statistical analysis data includes original per mu yield data, original per mu output value data, and original average price data. The data standardization module is used to perform standardization operations on the original per mu yield data, the original per mu output value data, and the original average price data to obtain standard per mu yield data, standard per mu output value data, and standard average price data. The data calculation module is used to calculate the evaluation score of the flue-cured tobacco variety by weighted summation based on the standard per mu yield data, the standard per mu output value data, and the standard average price data. In this way, the economic traits data and basic data of flue-cured tobacco varieties are statistically analyzed, and the data obtained from the statistical analysis are processed using the method of standardization and weighted summation to obtain the evaluation data of the flue-cured tobacco varieties, thereby improving the accuracy of the evaluation of the flue-cured tobacco varieties.
[0139] Based on the method for evaluating a flue-cured tobacco variety provided in the above method embodiment, the present application embodiment also provides an evaluation device for flue-cured tobacco varieties, see Figure 8 , the device includes: a processor, a memory, and a system bus;
[0140] The processor and the memory are connected via the system bus;
[0141] The memory is used to store one or more programs, and the one or more programs include instructions. When the instructions are executed by the processor, the processor executes the method for evaluating flue-cured tobacco varieties described in any one of the above embodiments.
[0142] Based on the method for evaluating a flue-cured tobacco variety provided in the above method embodiment, the embodiment of the present application further provides a computer-readable storage medium, which stores instructions. When the instructions are executed on a device, the device executes the method for evaluating a flue-cured tobacco variety described in any of the above embodiments.
[0143] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.
[0144] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0145] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for evaluating flue-cured tobacco varieties, characterized in that: The evaluation method includes: Obtaining economic trait data and basic data of flue-cured tobacco varieties; the economic trait data includes variety name, grade number, and weight; the basic data includes variety name, planting density, number of plants planted, and grade purchase unit price; Performing statistical analysis on the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data; the flue-cured tobacco statistical analysis data includes original per-acre yield data, original per-acre output value data, and original average price data; Performing standardization operations on the original per-acre yield data, the original per-acre output value data, and the original average price data to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data; Based on the standard per-acre yield data, the standard per-acre output value data and the standard average price data, the evaluation score of the flue-cured tobacco variety is calculated by weighted summation.
2. The evaluation method according to claim 1, characterized in that: The statistical analysis of the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data includes: determining a cell yield based on the weight; Determine the production value of the plot based on the grade number, the weight and the grade purchase unit price; Determine the original average price data based on the cell output and the cell output value; Determine the original per-acre yield data based on the plot yield, the planting density and the number of plants planted; The original per-acre output value data is determined based on the plot output value, the planting density and the number of planted plants.
3. The evaluation method according to claim 1, characterized in that: The original per-acre yield data, the original per-acre output value data, and the original average price data are standardized to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data, including: The minimum-maximum normalization method is adopted to perform standardization operations on the original per-acre yield data, the original per-acre output value data and the original average price data to obtain standard per-acre yield data, standard per-acre output value data and standard average price data.
4. The evaluation method according to claim 1, characterized in that: The economic trait data and basic data of flue-cured tobacco varieties are obtained, including: Obtain economic trait data and basic data of flue-cured tobacco varieties from a preset storage database; Among them, the weight of the flue-cured tobacco varieties is collected using an electronic scale with Bluetooth text data transmission function; the variety name, grade number, planting density, number of plants planted and grade purchase unit price of the flue-cured tobacco varieties are submitted data entered by the user.
5. The evaluation method according to claim 1, characterized in that: The flue-cured tobacco statistical analysis data also includes the proportion of high-quality tobacco, and the evaluation method also includes: sorting the flue-cured tobacco varieties based on the evaluation scores of the flue-cured tobacco varieties; The economic trait data, the basic data and the flue-cured tobacco statistical analysis data of the sorted flue-cured tobacco varieties are displayed in the form of a table.
6. The evaluation method according to claim 1, characterized in that: The evaluation method further comprises: Acquire a flue-cured tobacco variety comparison request triggered by a user, wherein the flue-cured tobacco variety comparison request carries a plurality of flue-cured tobacco varieties to be compared; In response to the flue-cured tobacco variety comparison request, obtaining standard per-acre yield data, standard per-acre output value data, and standard average price data of a plurality of flue-cured tobacco varieties; The standard per-acre yield data, standard per-acre output value data and standard average price data of multiple flue-cured tobacco varieties are displayed in the form of a radar chart.
7. An evaluation system for flue-cured tobacco varieties, characterized in that: The evaluation system includes: The data acquisition module is used to acquire the economic trait data and basic data of the flue-cured tobacco varieties; the economic trait data includes the variety name, grade number, and weight; the basic data includes the variety name, planting density, number of plants planted, and grade purchase unit price; A data statistical analysis module is used to perform statistical analysis on the economic trait data and the basic data to obtain flue-cured tobacco statistical analysis data; the flue-cured tobacco statistical analysis data includes original per-acre yield data, original per-acre output value data and original average price data; A data standardization module is used to perform standardization operations on the original per-acre yield data, the original per-acre output value data, and the original average price data to obtain standard per-acre yield data, standard per-acre output value data, and standard average price data; The data calculation module is used to calculate the evaluation score of the flue-cured tobacco variety by weighted summation based on the standard per-acre yield data, the standard per-acre output value data and the standard average price data.
8. The system method according to claim 7, characterized in that: The data statistical analysis module is specifically used for: Determine the plot yield based on the weight; determine the plot output value based on the grade number, the weight and the grade purchase unit price; determine the original average price data based on the plot yield and the plot output value; determine the original per-acre yield data based on the plot yield, the planting density and the number of planted plants; determine the original per-acre output value data based on the plot output value, the planting density and the number of planted plants.
9. The evaluation system according to claim 7, characterized in that: The flue-cured tobacco statistical analysis data also includes the proportion of high-quality tobacco, and the evaluation system also includes: A sorting module, used for sorting the flue-cured tobacco varieties based on the evaluation scores of the flue-cured tobacco varieties; The display module is used to display the economic trait data, the basic data and the flue-cured tobacco statistical analysis data of the sorted flue-cured tobacco varieties in the form of a table.
10. The evaluation system according to claim 7, characterized in that: The evaluation method further comprises: A request acquisition module, used to acquire a flue-cured tobacco variety comparison request triggered by a user, wherein the flue-cured tobacco variety comparison request carries a plurality of flue-cured tobacco varieties to be compared; The data acquisition module is further used to respond to the flue-cured tobacco variety comparison request and acquire the standard per-acre yield data, standard per-acre output value data and standard average price data of the plurality of flue-cured tobacco varieties; The display module is used to display the standard per-acre yield data, standard per-acre output value data and standard average price data of multiple flue-cured tobacco varieties in the form of a radar chart.
Citation Information
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