KR101870623B1 - Region agriculture statistics system and method for processing thereof - Google Patents

Abstract

The present invention relates to a regional agriculture statistics system and a processing method thereof. According to the present invention, the regional agriculture statistics system operates in association with a communication network, an agriculture policy support system, a management body integration database and a plurality of clients. The clients are possessed by managers or staff members belonging to the clients themselves, agriculture related organizations, and government organizations such as a statistics office and the like and may be provided with various analysis results from the regional agriculture statistics system. The regional agriculture statistics system includes: a server for collecting various data, performing analysis and statistical processes on the data, and providing a result of the analysis; and a database for storing management body information, agricultural land information, crop cultivation status information, livestock cultivation status information, analysis information, distribution map information and production prediction information. According to the present invention, there are effects of activating regional agriculture policies of a local government, increasing efficiency of establishing an agricultural plan or a plan of a rural community, realizing an agriculture policy fit to a field, establishing a customized agriculture policy support system on the basis of the status of each management body and management of supportive businesses, and managing and operating the systems and policies in an integrated single system related to establishment and implementation of agriculture policies.

Description

[0001] REGION AGRICULTURE STATISTICS SYSTEM AND METHOD FOR PROCESSING THEREOF [0002]

The present invention relates to a regional agricultural statistics system. More specifically, the present invention relates to a system for collecting and collecting various kinds of data in cooperation with an agricultural support system and an integrated agricultural management system database for agricultural policy and agricultural support, Analyzing and statistically processing public databases, and providing analysis data to local governments, agricultural institutions, and statistical offices, etc., and a processing method thereof.

Agriculture refers to primary industries in which farmers directly produce, sell, and consume crops. As science and technology developed, mechanization and industrialization of agriculture became possible and more scientific farming became possible. In the past, government agencies had to unilaterally set policies in government agencies because of the realistic constraints that could not confirm the cultivation and harvesting process of the crops, and demanded that the policies established by the government be directed to the producers.

Thus, producers fail to control the balance between demand and supply of crops, making crop prices unstable, and producers producing crops and consumers consuming crops are suffering from price instability due to demand imbalance. In addition, there is a problem that the fluctuation of the price is large according to the quantity of the produced product, and the stable profit of the producer farmer can not be guaranteed.

Currently, it is a system for local agricultural support. It is an agricultural support system that manages and manages data on production and distribution of farms by region, and agriculture, forestry and fisheries food education and culture information source (ie, And a local financial management system (for example, an e-government system) for administering subsidies and managing budgets and the like.

Although the management information is changed every year, it is changed to new, revised, etc. However, in order to acquire the integrated DB of the management body in the local government, it is required to apply through official documents, Because information can be received only for some information, not whole information, there is a difficulty in securing the integrated database of management bodies.

Also, there is a problem that the management integrated DB provided at present is divergent from the farm site. For example, in the case of a farm receiving direct payment and subsidy, the integrated DB of the management body is updated every year, but in the case of the other farms, the integrated DB of the management body is not updated frequently. do. In addition, there is a gap in utilizing the itemized information of the integrated DB of the management field in the agricultural field, so it is necessary to grasp the exact situation through separate investigation frequently. For example, farmers receiving direct payment have to record the area of each item relatively accurately because the approval of the field survey should be approved. However, the farmers who did not receive the first registration information will not be able to meet the current situation In order to solve these problems, annual field surveys are needed.

In addition, although the reality is that reducing the payment of subsidies and the need for more farmers, the local governments are not systematically managed by the farmers regarding the subsidy payment. For example, there is no standard for judging whether to continue or stop the business through the analysis of changes in the management status after the subsidy benefit of the person receiving the subsidy for each business, and check whether the subsidy continues to be paid to the recipient It is also necessary to establish policies for farmers who need subsidies and do not receive subsidies.

In addition, since the system for supporting the agricultural support is diversified, it is necessary to unify various DB management systems. For example, the system for farmland support is operated separately for the budget execution system, the production and distribution management system, and the farmhouse information providing system, so that various information is inconsistent and DB management is difficult.

Korean Patent Publication No. 10-2017-0026903 (published on March 09, 2017) Korean Patent Publication No. 10-2017-0031877 (published on March 22, 2017) Korean Patent Registration No. 10-1517894 (Published on May 08, 2015) Korean Patent Registration No. 10-0941875 (Published on Feb. 11, 2010)

An object of the present invention is to provide a regional agricultural statistics system and a processing method thereof for establishing a customized agricultural support system by management status and subsidiary business management in cooperation with agricultural support system and management enterprise integration database.

It is another object of the present invention to provide a regional agricultural statistics system and a processing method thereof for integrated management and operation into a single system related to agricultural policy establishment and execution.

Another object of the present invention is to provide a regional agricultural statistics system and a processing method thereof for improving the efficiency of planning in local areas of agriculture and rural areas and realizing on-site customized farming.

Another object of the present invention is to provide a local agricultural statistics system and a processing method thereof for activating local farming of local governments.

In order to achieve the above objects, the regional agricultural statistics system of the present invention collects, analyzes and statistically processes various types of data in cooperation with a support farming support system and an agricultural management system integration database to construct a public database, Which is one of its characteristics. The regional agricultural statistics system will revitalize the local farming system of local governments, improve the efficiency of planning in regional areas of agriculture and rural areas, realize the customized farming system, establish customized farming support system by management status and subsidiary business management. And it enables integrated management and operation as a single system related to agricultural policy establishment and implementation.

The regional agricultural statistics system according to the present invention collects various data in cooperation with at least the agricultural support system of the municipality and the business entity integration database and analyzes and statistically processes various data into various types of data, A server for processing analysis results according to at least annual change analysis, regional analysis, item analysis, group analysis, management scale analysis, age analysis, distribution map generation, and major crop production forecast; At least the management information, the farmland information, the crop cultivation status information, the livestock cultivation status information, the analysis information, the distribution map information, and the distribution map information are used so that the data analyzed and statistically processed from the server can be utilized for agricultural policy, agricultural support, And a database for storing production forecast information.

In one embodiment of this aspect, the server comprises: A communication unit for processing mutual data communication with the agricultural support system and the business entity integrated databases through a communication network; A data collecting unit for collecting and collecting various data from the farmland support system and the farmland management database through a communication network or inputting data generated from the farmland support system and the managerland integration database through a separate storage device; A data analysis unit for classifying and analyzing various data in various forms; A data retrieval unit for retrieving and providing analysis results generated by the data analysis unit by various items; A data output unit for outputting the results extracted by the data searching unit in various forms; And a control unit for controlling all operations of the server.

In another embodiment, the server may output the analysis result as at least one of a table form, a pie chart, a line chart, an area chart, a horizontal and vertical bar, and a stacking bar, or may be provided as at least one of an Excel file and an image file do.

According to another aspect of the present invention, a regional agricultural statistics system and a method of processing the same are provided.

A local agricultural statistics system and a processing method thereof according to this aspect include the steps of collecting and collecting various data from a farm support system and a management entity integrated database through a communication network; Analyzing the collected data so as to obtain results for various items; Outputting various types of data for each analysis item so as to confirm the result according to the analysis result; Searching for the desired result according to the analysis result; The results include at least annual analysis of changes, regional analysis, item analysis, group analysis, management scale analysis, age analysis, distribution map generation, and major crop production forecast.

In one embodiment of this aspect, the collecting comprises: The data generated in the farm support system and the management entity integration database are inputted through a separate storage device to further collect data.

In another embodiment, the analyzing step comprises: It can be analyzed by analysis items by at least municipality, item, group, management scale and age, and analysis items can be analyzed by year.

In yet another embodiment, the outputting comprises: And outputting the result as a graph including at least one of a table form, a pie chart, a line chart, an area chart, a horizontal and vertical bar, and a cumulative bar for each analysis item, and the result is provided as at least one of an Excel file and an image file do.

As described above, the local agricultural statistics system of the present invention collects, analyzes, and statistically processes various kinds of data in cooperation with the support system for farmland support and the agricultural management system database to construct a public database, and provides various types of analysis data By establishing agricultural policy support system by establishing customized farming support system by management status and subsidy management by realizing on-site customized farming by improving the efficiency of planning in regional units of agriculture and rural areas, And manage them in a single system for execution.

1 is a block diagram showing a network configuration of a regional agricultural statistics system utilizing a regional management integrated database according to the present invention,
FIG. 2 is a block diagram showing the configuration of the regional agricultural statistics system shown in FIG. 1,
FIG. 3 is a block diagram showing a configuration of the rice farm support system shown in FIG. 1;
4 is a block diagram showing the configuration of the business entity integration database shown in FIG. 1, and FIG.
5 is a flowchart showing the processing procedure of the regional agricultural statistics system according to the present invention.

The embodiments of the present invention can be modified into various forms and the scope of the present invention should not be interpreted as being limited by the embodiments described below. The present embodiments are provided to enable those skilled in the art to more fully understand the present invention. Therefore, the shapes and the like of the components in the drawings are exaggerated in order to emphasize a clearer explanation.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a block diagram showing a network configuration of a regional agricultural statistics system utilizing a regional management integrated database according to the present invention, FIG. 2 is a block diagram showing the configuration of a regional agricultural statistics system shown in FIG. 1, 3 is a block diagram showing the configuration of the farmland support system shown in FIG. 1, and FIG. 4 is a block diagram showing the configuration of the farmland management database shown in FIG.

Referring to FIGS. 1 to 4, the regional agricultural statistics system 100 of the present invention activates the local farming system of local governments, improves the efficiency of planning in regional units of agricultural and rural areas, realizes on-site custom farming, (2000) and a management database (DB) (300) to establish a customized farm support system based on the status of the farm, And a plurality of clients 400 in cooperation with each other.

The local agricultural statistics system 100, the agricultural support system 200, the business entity integration database (DB) 300, and the plurality of clients 400 are connected to each other via a network So that data communication is possible.

The client 400 is a device provided by a manager or a person in charge of a government agency such as a municipality, an agricultural institution, or a statistical office. The client 400 is provided as a personal computer, a portable computer, a smart phone, a tablet PC, (100).

3, the local government support system 200 may include local government support, supply history data 210, and local government corruption history data 220 as databases, as shown in FIG. 3, And stores it. The agricultural support system 200 can provide various data to the regional agricultural statistics system 100 through the communication network or can provide various data 210-220 to the local agricultural statistics system 100 using the separate storage device have.

As shown in FIG. 4, the business entity integration DB 300 includes a business entity registration DB 310, a farmland registration DB 320, a fraudulent receipt history DB 330, And the supply and demand history DB 340, the town status DB 350, and the regional development DB 360, and the like. The management integrated DB 300 provides various data 310-360 to the local agricultural statistics system 100 through a communication network.

The local agricultural statistics system 100 collects and inputs various data in cooperation with the agricultural support system 200 and the management database 300 through a communication network and converts various data into big data to analyze various types of data And statistical processing. The Regional Agricultural Statistics System (100) builds a public database that can be used for agricultural policy or agricultural support, or for controlling crop yields, as well as analyzed and statistically processed data. The analyzed and statistically processed data includes, for example, annual change analysis, regional (regional) analysis, itemized analysis, group analysis, management scale analysis, age analysis, distribution map generation, and major crop production forecast.

The local agricultural statistics system 100 processes the analyzed and statistically processed data to retrieve or output various types of output. These results are represented by various graphs such as, for example, a table form, a pie chart, a line chart, an area chart, and the like, a horizontal and vertical bar, and a stacked bar, It can be saved as a file.

Referring specifically to FIG. 2, the regional agricultural statistics system 100 includes a server 110 and a database 130. The server 110 includes a communication unit 112 for processing mutual data communication between a rice farm support system 200, a business entity integration database (DB) 300 and a plurality of clients 400 via a communication network, a rice farm support system 200, And collects various data from the management entity integration database (DB) 300 through a communication network or inputs the data generated from the farm support system 200 and the management entity integration database (DB) 300 through a separate storage device A data analyzing unit 116 for analyzing various types of data and analyzing the various types of data, a data searching unit 118 for searching for various items of analysis results generated by the data analyzing unit 116, A data output unit 120 for outputting the results extracted by the data search unit 118 in various forms, and a control unit 122 for controlling various operations of the server 110.

The database 130 stores the management information 132, the farmland information 134, the crop cultivation status information 136, the livestock cultivation status information 138, the analysis information 140, the distribution map information 142, 144) are stored.

Therefore, the local agricultural statistics system 100 of the present invention collects, analyzes, and statistically processes various kinds of data in cooperation with the agricultural support system 200 and the business entity integration database (DB) 300 to construct a public database, Data can be provided to local governments, agricultural organizations and the National Statistical Office.

5 is a flowchart showing the processing procedure of the regional agricultural statistics system according to the present invention.

5, the local agricultural statistics system 100 receives and collects various data from the agricultural support system 200 and the business entity integration database (DB) 300 through the communication network at step S150, (200) and the business entity integration database (DB) (300) through a separate storage device or the like to collect data. For example, when collecting management information, the data is collected and received in the form of an Excel file after being reviewed and approved when the local governments request data from the Ministry of Agriculture, Forestry and Fisheries Education and Culture Information Resources, Can be directly input through the < RTI ID = 0.0 > At this time, the Excel file includes basic information pertaining to the management (or farmhouse) and the status of the land parcels. In the case of crop cultivation status, the data can be collected through the preliminary survey and directly input through the data collection unit 114 of the local agricultural statistics system 100. In other words, we will select and train national statistical survey personnel, disseminate the questionnaires, visit the management body, conduct a full-scale interview in a 1: 1 interview format, and check if any errors are found in the survey results.

Through this process, the regional agricultural statistics system (100) can design and build a DB so that the local agricultural statistics information can be quickly and easily confirmed through the communication network, or input the whole survey data or input an Excel file Data can be collected by applying a method of batch input after securing data. In this case, the regional agricultural statistics system 100 may have a check function to minimize input errors.

The various data collected in step S160 may be analyzed by various items such as annual change analysis, district / region analysis, item analysis, group analysis, management scale analysis, age analysis, distribution map generation, To obtain the results of the analysis. This data analysis process is performed by variously analyzing the items needed for agricultural support and calculating the analysis algorithm (or analysis formula) for each analysis item. For example, analysis items are analyzed by town, town, group, management scale, and age, and all items can be analyzed by year. In addition, a plurality of analysis items may be subjected to a complex analysis by applying a multiple analysis tool.

In step S170, various outputs are output in order to check all the outputs according to the analysis result. Here, the output is displayed for each analysis item. For example, the result is represented by various charts such as a table shape, a pie chart, a line chart, an area chart and the like, a horizontal and vertical bar and a stacked bar shape, The result can be saved as a file such as Excel or image. In addition, the output can be output in SOAP (Simple Object Access Protocol) method for public DB construction.

In step S180, the result of the analysis is searched for by a desired item. In this case, the search item can be searched for by, for example, municipalities, gender, affiliated agricultural cooperatives, items, shipment time, production amount, cultivation area, agricultural income, farm income, And can be downloaded. In addition, the search item may be able to output only a desired item in a pivot format.

Hereinafter, the contents of the statistical analysis according to the embodiment of the present invention will be described.

Analysis items include major production indicators, annual trends, analysis by area, analysis by item, group analysis, management scale, age analysis, other analysis, production forecast and distribution map.

The main production indicators analyze the number of farm households, the amount of production, agricultural income, farm household income, and male and female ratio compared to the previous year.

Changes in annual trends are detailed items, including major item analysis, age structure change, sex ratio change, and category change. Analysis of main items includes analysis of farm number, crop area, production volume, number of shipment, production amount, agricultural income, and farm income for each year. The changes in the age structure include the analysis of the annual structure by age, for example, 20s, 30s, 40s, 50s, 60s, 70s, 65s and older. Changes in the sex ratio include the analysis of the annual sex ratio. The changes by category include the analysis of standard items (food crops, vegetables, fruit, special crops, mushrooms, flowers, forest products, livestock) by yearly classification.

The analysis of the towns and villages includes major items analysis, average analysis of major items, analysis of production value by type, top 5 items, age structure, number of earrings, concentration of top 5 items. Analysis of main items includes analysis of farm household number, crop area, production quantity, number of shipment, production amount, agricultural income, farm income by year of each township. Major Items The average analysis analyzes the average value of the major items by year in each town. The analysis of production value by class is based on the classification of standard items for each year and the amount of production by class. The top 5 items analyze the annual production of the top five items by district. The age structure analyzes the age structure of each town and village by year. The number of enumeration concentrates the annual number of enumeration by towns and villages. The concentration of the top five items is analyzed for each of the top five items by district, ie, the ratio of income received and the share of farm households.

Analysis by item is as follows: Analysis of major items, average analysis of major items, shipment time, full / half, shipment by crop (crops), shipment by product (livestock product), shipment by wholesale area, . Analysis of main items analyzes the annual number of farm household number, crop area, production quantity, number of shipment, production amount, agricultural income, and farm income by item. Major items Average analysis is to analyze the average value of major items for each item by year. Timing charts are used for each item to determine the timing of shipment, the amount of production, and the amount of agricultural income. The ratio of full-time / part-time work by item is analyzed on a yearly basis. Shipments by product (crops) are analyzed for each crop by year of shipment by product (agricultural cooperatives, joint shipments, etc.). Shipments by product (livestock products) are analyzed for each livestock product by shipment (agricultural cooperatives, joint shipments, etc.) by year. The shipment by wholesale area is analyzed by the annual wholesale by shipment by item. The amount of non-agricultural production / facility production is analyzed by the annual status of non-agricultural production by non-agricultural products. Main items Analyzes of each item are analyzed by year.

The analysis of each group includes major items analysis and group participation status. Major items are analysis of farm household number, crop area, production quantity, number of shipment, production amount, agricultural income, farm household income Analysis by year, and the status of group membership is analyzed by the annual status of membership by group.

The analysis by management scale includes major items classification, analysis of production value by type, production value of 10 items, number of farm households per municipality, number of entering / maintaining / dropping farm households. The main categories are the annual number of farm households, farming area, production volume, number of shipment, production amount, agricultural income, and farm income by management size (for example, less than 10 million won, 10 million to 20 million won). The analysis of production value by type analyzes the annual production value of each item by management size. The top 10 items are analyzed by year, according to the management scale. The number of farm households by municipalities is analyzed by the number of farm households according to the size of the municipalities by year. The number of incoming / outgoing / outgoing farm households is analyzed by year / year.

The analysis by age includes detailed items such as analysis of major items, analysis of production value by type, production volume of 10 items, shipment volume by shipment, and management scale of the next year. The analysis of major items analyzes the annual number of farm households, crop area, production, number of shipment, output, agricultural income, and farm income. The analysis of production by class analyzes the annual production by age group. The production value of the top 10 items is analyzed by the annual amount of production for the top 10 items by age. The shipment volume by volume is analyzed by year and by shipments by volume. The management scale of the next year analyzes the management scale (cultivation area) of the next year by age.

Other analyzes include detailed items such as major items by period of employment, production amount by class by period, status of off-farm household income, and monthly employment. The major items of the period of agriculture are agriculture, agriculture, agriculture, production, farming income, agriculture income, annual income. The amount of production by type of period by type of work is analyzed by the annual amount of production by each agriculture work period. The status of agricultural income farm households is analyzed by the annual number of farm households by income. The monthly employment force analyzes the monthly employment status (full-time, part-time) by year.

Production forecasts include major crops, other crops, major crops analyze production (area size) forecasts for major crops, and other crops analyze forecasts of crop production (area size) for other crops .

In addition, the distribution map is used to map the distribution process by mapping the sales data by the NACF sales department.

The contents of the statistical analysis for various items according to the embodiment of the present invention will be described below.

For the statistical analysis of the main production index, the base year analysis item is calculated, and the analysis item of the previous year is calculated and the ratio of the previous year to the base year is calculated. The calculated analysis results can be mapped according to the output format and output as a chart or a table. Statistical analysis of these major production indicators can be used to analyze major indexes of production such as number of farm households, production amount, agricultural income, income of farm households and sex ratio for each year, and it is possible to grasp the most recent key indicators of the local government at a glance. It is possible to provide agricultural status to the outside world in connection with the homepage.

The statistical analysis of the change trends by year shows that the analysis item data is calculated five years ago from the base year, and the yearly differential sum and the increase / decrease ratio are calculated for each item, the calculated analysis results are mapped according to the output form, It can be output as a table. The statistical analysis on the trends of annual changes can be checked by the annual basis for the number of farm households, farming area, production volume, number of livestock shipment, amount of production, agricultural income of farmhouse, and farm income for the last 5 years from the base year.

The statistical analysis by region (municipality) can analyze the municipalities, calculate the analysis items by municipalities, map the data according to the output format, and output the data as charts or tables. These statistical analyzes by districts can analyze the annual number of farm households, farming area and production, livestock shipment number, production amount, agricultural income, farm household income, etc., Analysis), analysis of production by item, analysis of top five items, age structure and number of earrings.

The statistical analysis by item can be performed by analyzing the items by the classification of large and small size, mapping the analysis items according to the items, mapping the data according to the output form, and outputting them as a chart or outputting them as a table. The statistical analysis by item can analyze the number of farm households, crop area and production, number of livestock shipment, amount of production, agricultural income of farm household, farm income by year. Items can be analyzed by major, minor, and sub-categories, and automatically analyzed according to the classified criteria. In addition, statistical analysis by item can be done by shipment time, full-time / part-time, shipment analysis by crop and livestock product shipment, analysis of facility / facility production value, and item-by-item analysis of major items.

The statistical analysis by group analyzes the membership status of each group, calculates the analytical items by group, maps the data according to the output form, and outputs the chart or the table. Organizations include farmers' associations, farmers' associations, farmers' associations, grassroots associations, research associations, and public elections. These statistical analyzes by group can analyze the annual number of farm household number, crop area and production, number of livestock shipment, production amount, agricultural income of farm, farm income.

The statistical analysis according to the management scale can analyze the management scale according to the farm income, calculate the analysis items according to the management scale, map the data according to the output form, and output the chart or the table. This statistical analysis by management scale can analyze the number of farm households, farming area and production, number of livestock shipment, production amount, farming income of farm, income of farm household by the annual management by farm scale (farm income basis). Here, the management scale is based on farm income, for example, less than 10 million won, 1-2 million won, 2-3 million won, 3-4 million won, 4-5 million won, 5-6 million won, 6-7 million won, , 8-90 million won, 90 million won-100 million won, 100 million won and more, and through this, it is possible to analyze the production amount of each kind, the production value of 10 items, and the number of farm households according to the towns and villages.

The statistical analysis by age can be performed by analyzing the ages, calculating the analysis items according to the management scale, mapping the data according to the output form, and outputting the charts as charts or outputting them as a table. These statistical analyzes by age can analyze the annual number of farm households, crop area and production, number of livestock shipment, production amount, farming income, farm household income, analysis of production by item, analysis of production value of the top 10 items, It is possible. Here, the age standard can be classified as 20 years old, 20-29 years old, 30-39 years old, 40-49 years old, 50-59 years old, 60-69 years old, 70 years old or older, 65 years old or older.

Statistical analysis by occupation period showed that the working period was less than 5 years, 5-10 years, 10-15 years, 15-20 years, 20-25 years, 25-30 years, 30-35 years, 35-40 years, 40 years Etc., analyzing the analysis items according to the management scale, mapping the data according to the output form, and outputting the charts as a table or outputting them as a table. This statistical analysis by occupation period can analyze annual number of farm household number, crop area and production amount, number of livestock shipment, production amount, farming income of farm, farm income by ages. In addition, statistical analysis by occupation period can analyze the amount of production by item by period of farming, and analyze the status of farm household income.

The statistical analysis of the top five items concentration classifies the top five items by town, calculates the amount of production by each of the top five items, and calculates the proportion of the imports by item. We also calculate the number of farm households and calculate the proportion of farm households. At this time, the farmhouse eliminates redundancy. When the proportion of the income and the number of households is calculated, the analysis results calculated for each town and village are mapped according to the output format and output to the area chart. Area charts can display, for example, municipalities, proportion of income, percentage of farm households, total output, total number of houses, and a plurality of items. The statistical analysis of the concentration of the top five items can be analyzed by analyzing which items are concentrated in each item, and the concentration analysis can be used to identify the distribution of the number of farm households and the proportion of the production amount by item. . This complex analysis method has an advantage of three-dimensionally grasping local agriculture, so it is easy to develop analytical tools with various items in the future. For example, analytical tools can be developed with farmers' portfolio portfolio composition, annual change in age structure, and distribution of production value by management size.

The statistical analysis for the entry / exit / maintenance farm household according to the income of the farm household is to analyze all the data of the year discrimination as the management scale of the farm income, calculate whether the previous year and the base year are entered / The data is mapped according to the output type according to the size of the management, and it is outputted whether or not the entry, drop-out, and maintenance are performed according to the farm income. The statistical analysis of entry / disappearance / maintenance farm households according to the farm income can confirm the number of maintenance / dropout / entry farm households based on farm income. Here, entry / exit by income section can identify the effect of agricultural policy, establish differentiated agriculture policies for each income section, and identify the cause of increase and decrease of income because it can grasp farms with improved income and those with reduced income. It can also be used to establish plans for raising farm income. If this analytical data accumulates over a long period of time, follow-up investigations can be done to find solutions to current problems.

The statistical analysis of the production forecasts by item compares the previous year and the planned area of the next year for each item, calculates the increase / decrease rate, and displays the cultivation area for each major item and the cultivation area for each crop by data-mapping the cultivation area for each item. The statistical analysis of the production forecasts for each item can be made by analyzing the cultivation area and the planned area for each item. For example, agriculture is a living organism that is affected by external environmental factors. Production forecast is a very important analysis item because it causes difficulties such as price collapse / surge when balance of demand and supply collapses. Therefore, the results of production forecasts can be issued annually at the beginning of each year (prior to the start of agriculture) to formally announce the results of the project to provide guidelines for the selection of production items by farmers.

And statistical analysis on the distribution map calculates the total output value of the unit item, analyzes it by each source, and calculates the proportion of the NACF 's shipments. Calculate the shipment amount, ie, the total output value * the percentage of shipment by destination, and maps the shipment amount and weight data for each shipment by the calculated analysis result and outputs the distribution map. Statistical analysis of this distribution map can identify the shipment flow for all production items. In this case, it is possible to provide distribution map automatically for all the items produced by the relevant city, and it is possible to provide a more accurate distribution map of each product by utilizing the results of the survey and the data of the NACF (core distribution agency) together. Therefore, statistical analysis of the distribution map is the most important policy decision factor when establishing the distribution policy, and the more accurate the result, the better the distribution policy can be established.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, This is possible.

100: Regional Agricultural Statistics System
110: Server
112:
114: Data collecting unit
116: Data analysis section
118: Data retrieval unit
120: Data output unit
122:
130: Database
200: Agricultural support system
300: Integrated Management DB

Claims (7)

In the regional agricultural statistics system,
At the very least, it collects various data in cooperation with the local government's agricultural support system and management integration database, analyzes and statistically processes various data into various types of data by analyzing various data, and analyzes at least major production indexes, annual change analysis, regional analysis A server for processing analysis results according to item analysis, group analysis, management scale analysis, age analysis, other analysis, distribution map analysis, and major crop production forecast analysis;
At least the management information, the farmland information, the crop cultivation status information, the livestock cultivation status information, the analysis information, the distribution map information, and the distribution map information are used so that the data analyzed and statistically processed from the server can be utilized for agricultural policy, agricultural support, And a database for storing production forecast information;
The server comprising: A communication unit for processing mutual data communication with the agricultural support system and the business entity integrated databases through a communication network; A data collecting unit for collecting and collecting various data from the farmland support system and the farmland management database through a communication network or inputting data generated from the farmland support system and the managerland integration database through a separate storage device; A data analysis unit for classifying and analyzing various data in various forms; A data retrieval unit for retrieving and providing analysis results generated by the data analysis unit by various items; A data output unit for outputting the results extracted by the data searching unit in various forms; And a control unit for controlling all operations of the server,
The analysis of the main production indicators of the above analysis results is based on the analysis of the base year analysis items for the number of farm households, the production amount, the agricultural income, the farm income and the males sex ratio at least every year, calculates the analysis items for the previous year, The analysis of changes is based on the analysis data of farm households, farming area and production volume, the number of livestock shipment, the amount of production, the agricultural income of the farm, and farm income 5 years ago from the base year, The analysis by region is based on at least the number of farm households, farming area and production, the number of livestock shipment, the amount of production, the agricultural income of the farm, the income of the farm household, Crop area and production, number of livestock shipment, production, management farm , Farm household income is analyzed by category and mass classification, analysis by group is analyzed by affiliation status by each group, and analysis by management scale shows at least the number of farm households, the cultivation area and production amount of farm products, the number of livestock product shipment, , Agriculture, and agriculture by ages. The ages of agriculture are analyzed by at least ages of farm households, crop area and production, number of livestock shipment, production, agricultural income, agriculture income by ages, , And other analyzes are analyzed by year, by at least the major items by occupation period, the production amount by class by period, the status of agricultural income by farm households, and the monthly employment force, and mapping of distribution map with sales data by each source And the major crop production forecasting analysis is based on the crop category The enhancement ratio calculated by comparing the year and the next year planning area and regional agricultural statistics system, characterized in that the predictive analysis item acreage.
delete The method according to claim 1,
The server comprises:
Wherein the analysis result is output to at least one of a table form, a pie chart, a line chart, an area chart, a horizontal and vertical bar, and a stacking bar, or is provided as at least one of an Excel file and an image file.
In a method of processing a regional agricultural statistics system,
Collecting and collecting various data from the agricultural support system and the management entity integrated database through the communication network;
Analyzing the collected data so as to obtain results for various items;
Outputting various types of data for each analysis item so as to confirm the result according to the analysis result;
Searching for the desired result according to the analysis result;
The result includes analysis results according to at least major production index analysis, annual change analysis, regional analysis, item analysis, group analysis, management scale analysis, age analysis, distribution map generation and major crop production forecast analysis;
Wherein the analyzing comprises: It can be analyzed by analysis items by at least municipality, item, group, management scale and age,
The analysis of the major production indicators of the above results is based on the analysis of the base year analysis items for the number of farm households, production amount, agricultural income, farm income, and male to male ratio at least every year, calculates the analysis items for the previous year, The analysis of change is based on the analysis data of farm household number, crop area and production volume, number of livestock shipment, quantity of production, agricultural income of farmhouse, and farm income from the baseline year five years ago, , And the rate of change is calculated by region. The analysis by region is based on the number of farm households, farming area and production, number of livestock shipment, production amount, farming income, farm household income by year, Growth area and production, number of livestock shipment, production, farming income, farming The analysis of the subscription status by each group is analyzed by at least the number of farm households, the cultivation area and production amount of the agricultural products, the number of the livestock product shipment, the amount of production, the farming income of the farm, the farmhouse We analyze the management scale by income for each year and analyze the ages by at least ages for the number of farm households, farming area and production, number of livestock shipment, production, agricultural income, farm household income by ages, , And other analyzes are analyzed for each year by major items by occupation period, production by class by period, farmers' income by agricultural status, monthly employment force, distribution map analysis is mapped to sales data by source, The main crop production forecasting analysis is based on the crop category, And calculating the rate of increase and decrease by comparing the plan area of the next year, and estimating and analyzing the cultivation area of each item.
5. The method of claim 4,
Wherein the collecting comprises:
Wherein data generated in the farm support system and the management entity integrated database are input through a separate storage device and data is further collected.
delete 5. The method of claim 4,
Wherein the outputting step comprises:
And outputting the result as a graph including at least one of a table form, a pie chart, a line chart, an area chart, a horizontal and vertical bar, and a cumulative bar for each analysis item, and the result is provided as at least one of an Excel file and an image file A method of processing a local agricultural statistics system.

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