KR102271036B1 - Platform using cloud-based Big Data - Google Patents

Abstract

A service providing device using cloud-based big data is provided. Multiple convergence big data DBs store convergence big data, a result of processing and converging smart farm-related information provided by a number of public and private organizations by category through a data linkage method. Multiple analysis systems selectively analyze the convergence big data stored in the convergence big data DBs to provide multiple services. When a desired service to be provided among the multiple services is requested from a terminal of an administrator who manages a smart farm, an integrated service providing system identifies analysis systems required to provide a requested desired service from multiple analysis systems, processes the identified analysis systems to be operated, and provides the requested desired service by integrating analysis results of the identified analysis systems.

Description

Platform using cloud-based Big Data

The present invention relates to an apparatus for providing a service using cloud-based big data, and more particularly, to converge, process, and analyze big data provided by a number of institutions using a cloud-based platform, and to related smart farms. It relates to a service providing device using cloud-based big data that can provide a service.

Recently, agriculture is evolving into a convergence of advanced technologies such as information and communication technology, biotechnology, and green technology, and smart farms incorporating this contribute to improving the quality and production efficiency of products, reducing the labor population and farmland, and climate change. It is being tried as a way to solve other extreme weather problems.

Meanwhile, the Ministry of Agriculture, Food and Rural Affairs data related to smart farms are being provided by various public or private organizations. For example, the National Seed Resources, Food Source, Rural Development Administration, Rural Development Corporation, Ministry of Land, Infrastructure and Transport, etc. are diverse.

However, there is no standard guideline for providing data from the Ministry of Agriculture, Food and Rural Affairs, so data collection and processing methods are different for each period. As a result, problems such as data dispersion, data non-standardization, lack of integrated master information, and absence of metadata occur, and it is difficult to use data linkage because there is no way to secure quality such as standard guidelines.

Therefore, it is necessary to introduce a technology that can provide services to be used in smart farms by convergence of data provided by various institutions.

Domestic Patent Publication No. 10-2020-0043338

The technical problem to be achieved by the present invention in order to solve the above problems is to provide a service providing apparatus using cloud-based big data that can provide services related to a smart farm using a cloud-based platform.

The problems to be solved of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

As a means for solving the above technical problem, according to an embodiment of the present invention, a cloud-based big data service providing apparatus that provides a plurality of services using cloud-based big data is provided by a plurality of public institutions and private institutions. a plurality of convergence big data DBs that store convergence big data, which is the result of processing and convergence of smart farm-related information provided by the companies by category through data linkage; a plurality of analysis systems for selectively analyzing convergence big data stored in the plurality of convergence big data DBs to provide the plurality of services; and when a desired service to be provided among the plurality of services is requested from a terminal of a manager who manages the smart farm (hereinafter referred to as 'manager terminal'), providing the requested desired service from among the plurality of analysis systems and an integrated service providing system that identifies the analysis systems necessary for this, processes the identified analysis systems to be driven, and provides the requested desired service by integrating the analysis results of the identified analysis systems.

The plurality of services include a precision agriculture field that provides services related to facilities, fields and livestock of each of the smart farms, a safe agro-food field that provides services related to agricultural and livestock safety management and smart local food, a farm village and a farm village It is divided into the smart rural sector, which provides services related to this, and the scientific farming sector, which provides services related to next-generation agricultural subsidies, production consumption forecasting, and disaster information.

The precision agriculture field includes an intelligent facility growth management service that provides a service for improving productivity and stability of intelligent facilities related to smart farms, an intelligent field production management service that provides an optimal production and risk prediction improvement service for an intelligent field, and more It includes an on-site abnormal temperature damage prediction service that provides a service for predicting damage in the open field and improving response ability due to temperature, and a smart livestock disease odor management service for integrated disease management and odor control through smart livestock and livestock product movement control.

The safe agri-food field includes a livestock disease prediction and prevention service that provides a disease management service according to the input of disease occurrence information from the manager terminal, a pest general management service that provides a pest management service after the occurrence of pests, and a transparent distribution of local products It includes a local food planning and production service that provides production efficiency improvement and safe consumption culture service through , and a rural experience tourism service that provides an experience service through connection with the local food planning and production service.

In the field of scientific agricultural administration, the next-generation integrated subsidy service based on GIS (Geographic Information System) that enables subsidy application and implementation check by lot and crop based on farmer registration information, and supply-distribution-consumption-pest-weather integration prediction through Optimal supply-demand forecasting management service that provides optimal decision-making services including the delivery time of crops, regional disaster early warning and proactive response services that improve disaster early warning and proactive response speed through integrated analysis of GIS information and disaster information, and weather integration It includes a weather integrated environmental information service that provides productivity and stability through forecasting, production shipment timing, item and variety selection services.

The smart rural sector is a smart farm village service for solving current issues including the aging of rural areas and improving the living convenience of farmers, rural development that provides rural development information/standards in consideration of the rural status, settlement conditions, and spatial characteristics It includes decision-making simulation service, settlement model self-design and settlement decision-making consultation design service, and settlement decision-making service for returning to rural areas, and ICT (Information & Communication Technology) weekend farm service using an automated vegetable garden platform.

The analysis systems that provide basic analysis data of the services in the precision agriculture field are an optimal growth model analysis system that analyzes agricultural environment and production information for each item of the smart farm, and scenario-based productivity improvement for facilities and installations of the smart farm. An intelligent greenhouse management analysis system that analyzes the outdoor environment, a production management analysis system for labor reduction and disaster prevention analysis according to changes in the external environment of the field, and an observation model for each field item by integrating accumulated weather, growth and environment information An observational model analysis system for each item to analyze, a livestock GPS analysis system that integrates analysis of livestock product operation information, disease outbreak information, and farmhouse information based on GPS (Global Positioning System), and livestock environment change that analyzes environmental changes using ICT technology analysis system.

The analysis systems that provide basic analysis data of the services in the safe agri-food field use a spread prediction model through analysis of the relationship between human movement, vehicle movement, and disease spread to identify disease spread paths and prevent livestock movement-disease A related analysis system, a pest image analysis system that analyzes the diagnosis of pests through deep learning analysis after pattern analysis including the shape, color, and size of pests, and a pest image analysis system that analyzes main consumption and supply information by farmhouse and daily It includes an appropriate production and shipment volume analysis system that predicts the appropriate production and shipment volume, and a consumption trend analysis system that analyzes regional consumption trends by linking regional consumption and supply information.

The analysis systems that provide the basic analysis data of the services in the field of science and agriculture are based on the agricultural management information, the farm map, the direct payment system support information, the farmland/land, the soil environment, and the integrated analysis system for the management implementation check that analyzes the agricultural implementation check, Agricultural management system information-based farmhouse basic information, production, shipment, income, and distribution information for each item to recommend a farm policy recommendation analysis system for each item, and an optimal supply management analysis system to analyze production volume and distribution price for optimal supply management; , the agricultural and livestock consumption prediction analysis system that predicts the consumption of agricultural and livestock products using POS (Point of Sales) information of the mart of the seller, seasonal ingredients/consumption information, and disasters, soil, pests, water quality, It includes a weather environment comprehensive analysis system that analyzes crop information.

The analysis systems that provide basic analysis data of the services in the smart rural field are a rural space analysis system that analyzes rural life, resources, and space through connection with the national big data platform data, and a big data and artificial intelligence-based homecoming village. Settlement model self-design and settlement model analysis system for repatriating and returning villages for settlement decision making is included.

The plurality of convergence big data DBs include: a smart farm/environment/living DB for storing environment/control information, growth/breeding information, management information, and living information of each of the smart farms; a production/distribution/history DB for storing production information, pesticide information, authentication/history information, and distribution/consumption information of each of the smart farms; and a space/disaster/pest DB for storing pest information, agricultural weather information, spatial information, and agricultural environment information of each of the smart farms.

According to the present invention, it is possible to efficiently provide information that was difficult to provide because it is dispersed by convergence of data related to the agriculture and livestock industry individually provided by various public institutions or private institutions by category to form a DB in a new form.

In addition, according to the present invention, various services related to the smart farm desired by the user can be provided more accurately and quickly by analyzing the corresponding information using the convergence DB and providing the analysis result as a service.

In addition, according to the present invention, it is possible to secure a stable system such as system stabilization and flexibility of big data storage space by providing a service related to a smart farm using a cloud-based platform, thereby providing a more stable service.

Effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a view showing an apparatus for providing a service using cloud-based big data according to an embodiment of the present invention;
2 is a view for explaining first to third convergence big data DBs according to an embodiment of the present invention;
3 to 5 are views showing subcategories in which the related institutions shown in FIG. 2 are used;
6 is a view showing a service provision concept using cloud-based big data according to an embodiment of the present invention;
7 to 22 are diagrams for explaining an operation of providing 16 channel services according to an embodiment of the present invention.

The above objects, other objects, features and advantages of the present invention will be easily understood through the following preferred embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. Rather, the embodiments introduced herein are provided so that the disclosed content may be thorough and complete, and the spirit of the present invention may be sufficiently conveyed to those skilled in the art.

In some cases, it is mentioned in advance that in describing the invention, parts that are commonly known and not largely related to the invention are not described in order to avoid confusion for no reason in explaining the invention.

In this specification, when terms such as first, second, etc. are used to describe components, these components should not be limited by these terms. These terms are only used to distinguish one component from another. The embodiments described and illustrated herein also include complementary embodiments thereof.

Also, when it is said that a first element (or component) is operated or executed on (ON) a second element (or component), the first element (or component) means that the second element (or component) is It should be understood that the operation or execution in the environment in which the operation or execution occurs, or the operation or execution through direct or indirect interaction with a second element (or component).

When it is stated that any element, component, device, or system includes a component consisting of a program or software, even if not explicitly stated, that element, component, device, or system means that the program or software executes or operates It should be understood to include hardware (eg, memory, CPU, etc.) or other programs or software (eg, drivers necessary to run an operating system or hardware) necessary for the operation.

In addition, it should be understood that, unless specifically stated in the implementation of an element (or component), the element (or component) may be implemented in software, hardware, or any form of software and hardware.

In addition, the terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. As used herein, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, the terms 'comprises' and/or 'comprising' do not exclude the presence or addition of one or more other components.

Also, in this specification, terms such as 'unit', 'module', 'server', 'system', 'platform', 'device' or 'terminal' refer to hardware and software driven by the corresponding hardware or software for driving the hardware. may be intended to refer to a functional and structural association of For example, the hardware herein may be a data processing device including a CPU or other processor. In addition, software driven by hardware may refer to a running process, an object, an executable file, a thread of execution, a program, and the like.

In addition, the above terms may mean a logical unit of a predetermined code and a hardware resource for executing the predetermined code, and does not necessarily mean a physically connected code or a single type of hardware. It can be easily inferred to an average expert in the technical field of

Also, in this specification, the DB may mean a functional and structural combination of software and hardware for storing information corresponding to each DB. The DB may be implemented as at least one table, and may further include a separate DBMS (Database Management System) for searching, storing, and managing information stored in the DB. In addition, it can be implemented in various ways such as a linked-list, a tree, and a relational DB, and includes all data storage media and data structures that can store information corresponding to the DB.

Hereinafter, specific technical contents to be practiced in the present invention will be described in detail with reference to the accompanying drawings.

Each component of the service providing apparatus 100 using big data shown in FIG. 1 indicates that it may be functionally and/or logically separated, and each component must be divided into a separate physical device or as a separate code. An average expert in the technical field of the present invention can easily infer that it is not meant to be written.

1 is a diagram illustrating a service providing apparatus 100 using cloud-based big data according to an embodiment of the present invention.

The service providing apparatus 100 using big data shown in FIG. 1 is a cloud-based smart farm big data platform that provides smart farm services to a plurality of manager terminals 10 using a platform provided in the cloud. can Accordingly, the service providing apparatus 100 using cloud-based big data according to an embodiment of the present invention may be the same as a platform using cloud-based big data.

In addition, the cloud-based smart farm big data platform according to an embodiment of the present invention may be a hardware device, or may include a part of hardware and a part of software.

In addition, the cloud-based smart farm big data platform according to an embodiment of the present invention may be implemented in a PaaS (Platform as a Service), SaaS (Software as a Service) or IaaS (Infrastructure as a Service) form.

In order to use the service provided by the service providing device 100 using big data, the plurality of manager terminals 10 request a service using a web page or application interworking with the service providing device 100 using big data. can In addition, the manager terminal 10 may be a terminal of a user who manages the smart farm 20 or a user who does not currently manage the smart farm, but a user who wants to, or a user who wants to return to farming, etc. related to agriculture and livestock.

Referring to FIG. 1 , a service providing apparatus 100 using cloud-based big data according to an embodiment of the present invention includes first to third convergence big data DBs 110 to 130 and an integrated service providing system 140 . And it may include the first to seventeenth analysis systems (151 to 167).

The first to third convergence big data DBs 110 to 130 generate convergence big data, which is the result of processing and convergence of smart farm-related information provided by a number of public and private organizations by category through a data linkage method. can be saved

2 is a view for explaining the first to third convergence big data DBs 110 to 130 according to an embodiment of the present invention.

Referring to FIG. 2 , a related institution is an example of a plurality of public institutions (public data center), private institutions (private data center), or R&D institutions (R&D data center), and the collection information system is provided in each related institution. It is a system that collects the provided information. The convergence DB generator (not shown) collects information provided by public data centers, private data centers, and R&D data centers according to smart farm/environment/living categories, production/distribution/history categories, and space/disaster/pest categories. The first to third convergence big data DBs 110 to 130 may be generated by processing, analysis, and convergence. Accordingly, by processing and fusing data stored in various organizations shown in FIG. 2 according to a category (ie, subject), data provided by various organizations can be analyzed without omission and provided as information.

Hereinafter, the first convergence big data DB 110 generated for the smart farm/environment/living category is referred to as the smart farm/environment/living DB 110, and the second convergence big data generated for the production/distribution/history category The data DB 120 is referred to as a production/distribution/history DB 120 , and the third convergence big data DB 130 generated according to the spatial/disaster/pest category is referred to as a space/disaster/pest DB 130 .

[Table 1] shows information stored in the smart farm/environment/living DB 110, production/distribution/history DB 120, and space/disaster/pest DB 130.

parent category Subcategory (Big Data) Contents Smart Farm/Environment/Life Environment/Control Temperature, humidity, odor, nutrient solution, water supply growth / breeding overweight, small size, growth Operation production, cost life Transportation, culture, health care, safety Production/Distribution/History production Production, area, items pesticide Pesticide safety and trading history Certification/History Various authentication history tracking Distribution/Consumption Prices, imports and sales Space/Disaster/Pest pest disaster, quarantine agricultural weather weather information space land, administration, real estate agricultural environment Soil, climate, water

Referring to [Table 1] and FIG. 2 , the smart farm/environment/living DB 110 stores environment/control information, growth/breeding information, management information, and living information of each of the smart farms. The environment/control information includes information on temperature, humidity, odor, nutrient solution, and water supply of each of the smart farms, and the growth/breeding information includes information on overweight, cropping, and growth of the smart farms. Management information includes information on production and cost of smart farms, and living information includes information on transportation, culture, medical care, and safety of smart farms.

Production/distribution/history DB 120 stores production information, pesticide information, authentication/history information, and distribution/consumption information of each of the smart farms. The production information includes information on production, area, and items of smart farms, and the pesticide information includes information on pesticide safety and pesticide transaction history. The authentication/history information includes various kinds of authentication history tracking information, and the distribution/consumption information includes price, import quantity, and sales information.

The space/disaster/pest DB 130 stores pest information, agricultural weather information, spatial information, and agricultural environment information of each of the smart farms. The pest information includes disaster and prevention information of each smart farm, and the agricultural weather information includes weather information. Spatial information includes land, administration, and real estate information of smart farms, and agricultural environment information includes soil, climate, and water information of smart farms.

3 to 5 are diagrams showing sub-categories in which the related organizations shown in FIG. 2 are used.

Referring to FIGS. 3 to 5 , for example, plant grain seeds provided by the National Seed Resources are used to generate growth/breeding information, and the food crops excellent line, variety sales, and crop analysis information provided by the food source are growth /Can be used to generate breeding information, management information, and production information below. A convergence DB generating apparatus (not shown) may generate DBs 110 to 130 by selectively merging various smart farm-related information by category as shown in FIGS. 3 to 5 .

Referring back to FIG. 1 , the first to seventeenth analysis systems 151 to 167 are the smart farm/environment/living DB 110 in order to provide a plurality of big data channel services related to the smart farm to the manager terminal 10 . ), production/distribution/history DB 120 or space/disaster/pest DB 130 may selectively analyze convergence big data, and deliver the analysis result to the integrated service providing system 140 . The integrated service providing system 140 and the first to seventeenth analysis systems 151 to 167 may be implemented in various forms such as a module or a server according to a service scale or a platform.

[Table 2] describes 16 big data channel services provided by the present invention.

top service Sub-services (16 big data channel services) Explanation 1. Precision Agricultural Field 1-1. Intelligent facility growth management service Provides services to increase productivity and improve stability of intelligent facilities related to smart farms 1-2. Intelligent Field Production Management Service Providing services to improve the optimal production of intelligent field and risk prediction 1-3. Outdoor abnormal temperature damage prediction service Provides a service for predicting damage to the open ground due to abnormal temperature and improving response ability 1-4. Smart Livestock Disease Odor Management Service Integrated disease management and odor control through smart livestock and livestock product movement control 2.Safe agro-food field 2-1. Livestock Disease Prediction Prevention Service Provides disease management service according to disease occurrence information input from the manager terminal 2-2. Pest management service Providing pest management services after the occurrence of pests and pests 2-3. Local food planning and production service Provide production efficiency and safe consumption culture service through transparent distribution of local products 2-4. Rural experience tour service Providing experience service through connection with local food planning and production service 3.Scientific Agricultural Administration 3-1.GIS-based next-generation integrated subsidy service Based on farmer registration information, it is possible to apply for subsidy by lot and by crop and to check the implementation 3-2. Optimal supply and demand forecasting management service Supply-distribution-consumption-pests-weather integrated forecasting to provide optimal decision-making services, including when to ship crops 3-3. Disaster early warning and proactive response services by region Improving disaster early warning and proactive response speed through integrated analysis of GIS (Geographic Information System) information and disaster information 3-4. Weather Integrated Environmental Information Service Provides productivity and stability, production shipment timing, item and variety selection service through integrated weather forecasting 4.Smart Rural Field 4-1. Smart Farm Village Service Measures to solve current problems including aging in rural areas and improvement of living convenience for farmers 4-2. Rural Development Decision Making Simulation Service Provides agricultural and rural development information/standards in consideration of rural conditions, settlement conditions, and spatial characteristics 4-3. Decision-making service for repatriation Settlement model self-design and settlement decision-making consulting design service 4-4. ICT(Information & Communication Technology) Weekend Farm Service Using an automated gardening platform

Referring to [Table 2], big data channel services related to smart farms are largely divided into precision agriculture, safe agri-food, smart rural, and scientific agriculture.

The precision agriculture sector provides services related to the facilities, fields and livestock of each of the smart farms. The safe agri-food sector provides services related to the safety management of agricultural and livestock products and smart local food. The smart rural sector provides services related to farm villages and returning villages. The scientific agricultural administration sector provides services related to next-generation agricultural subsidies, production and consumption forecasting, and disaster information.

In addition, since the four fields are divided into four big data channel services, respectively, as shown in [Table 2], in the present invention, 16 channel services can be provided through a cloud-based platform.

On the other hand, the first to seventeenth analysis systems 151 to 167 read and analyze big data required to provide 16 channel services from the DBs 110 to 130, and an analysis system operating for each channel service It may be different, or the big data analyzed by a plurality of analysis systems for each channel service may be different.

[Table 3] describes 17 analysis systems.

4 major tasks division Definition and key roles precision agriculture 1. Optimal growth model analysis system It is a system that analyzes agricultural environment and production information by item of smart farm, and is used as basic analysis data for intelligent facility growth management service. 2.Intelligent greenhouse management analysis system It is a system that analyzes the productivity improvement based on the scenario of smart farm facilities and installations, and is used as basic analysis data for intelligent facility growth management service. 3.Production management analysis system As an analysis system for labor reduction and disaster prevention, it is used as a basic analysis data for the decision-making service for the harvest time as a result of changes in the external environment (weather, soil, etc.) of the field. 4. Item-specific observation model analysis system It is a system that analyzes observation models for each field item by integrating accumulated data (weather, growth and environment information), and is used as basic analysis data for abnormal temperature damage and prediction services. 5. Livestock GPS analysis system Livestock product (vehicle type + operation information GPS information) information * disease occurrence information * farmhouse information Big data integrated analysis system, used as basic analysis data for smart livestock disease odor management service and livestock disease prediction and prevention service. 6. Barn environment change analysis system As a system that analyzes environmental changes (diseases, environmental pollution) using ICT technology, it is used as basic analysis data for smart livestock disease odor management service. safe agri-food Livestock movement-disease correlation analysis system It is used as a basic analysis data for livestock disease prediction and prevention service as a system for creating a spread prediction model through analysis of the relationship between human movement, vehicle movement and disease spread, and for identifying the path of disease spread and prevention in advance. 8. Pest image analysis system Diagnosis after pattern analysis including the shape, color, and size of pests As an analysis system that increases the accuracy of pest diagnosis through machine learning automation analysis through deep learning analysis technology, it is used as basic analysis data for pest management services. 9. Appropriate production and shipment volume analysis system It is a system that predicts the appropriate production and shipment volume of farms through linking analysis of main consumption and supply information by farmhouse and daily, and is used as basic analysis data for local food planning and production service. 10.Consumption trend analysis system It is a system that analyzes regional consumption trends by linking regional consumption and supply information, and is used as basic analysis data for rural experiential tourism services. science farming 11. Integrated analysis system for management performance check Based on agricultural management information, it is an analysis system for farm map, direct payment system support information, farmland/land, soil environment, and agricultural implementation check, and is used as basic analysis data for GIS-based next-generation integrated subsidy management service. 12.Agricultural policy recommendation analysis system by item It is an analysis system that recommends customized agricultural policies for each item through basic farm information, production, shipment, income, and distribution information based on agricultural management information, and is used as basic analysis data for the next-generation integrated subsidy management service based on GIS. 13. Optimal supply management analysis system It is a system that analyzes production volume and distribution price (production area/distributor/consumer) for optimal supply management, and is used as basic analysis data for optimal supply-demand forecasting management service. 14. Agricultural Products Consumption Prediction Analysis System It is a system that predicts the consumption of agricultural and livestock products by analyzing data such as POS (Point of Sales) information of major vendors such as the Agricultural Cooperatives and main ingredient/consumption information by season. 15. Comprehensive weather environment analysis system It is a system that analyzes disaster, soil, pest, water quality, and crop information based on farm weather, and is used as basic analysis data for optimal supply and demand forecasting management service. smart rural 16. Rural space analysis system It is a big data lab analysis system that analyzes rural life, resources, and space through connection with the national big data platform data. It is used as basic analysis data for Korean smart farm village and rural development decision-making simulation service. 17. Settlement model analysis system As an analysis system for self-design and settlement decision-making based on big data and artificial intelligence-based resettlement model, it is used as basic analysis data for the return-to-hometown decision-making service and ICT weekend farm service.

Referring to [Table 3], in the field of precision agriculture, the first to sixth analysis systems 151 to 156 are used as the main analysis system that provides basic analysis data. In the field of safe agri-food, the seventh to tenth analysis systems 157 to 160 are used as the main analysis system. The eleventh to fifteenth analysis systems 161 to 165 are used as main analysis systems in the scientific agricultural field, and the 16th and 17th analysis systems 166 and 167 are used as main analysis systems in the smart rural field.

In addition, according to [Table 3], the first to seventeenth analysis systems 151 to 167 are selectively used for big data analysis according to the type and characteristics of the channel service.

[Table 4] shows the channel services that provide basic analysis data by using 17 analysis systems 151 to 167 as the main analysis system.

4 major tasks analysis system Big data utilization channel service precision agriculture facility 1. Optimal growth model analysis system Intelligent facility growth management service + smart rural area (ICT weekend farm service) 2.Intelligent greenhouse management analysis system Intelligent facility growth management service + smart rural area (ICT weekend farm service) outfield 3.Production management analysis system Intelligent outdoor production management service + smart rural area (ICT weekend farm service) 4. Item-specific observation model analysis system Outdoor abnormal temperature damage prediction service + smart farm village (ICT weekend farm service) livestock 5. Livestock GPS analysis system Smart Livestock Disease Odor Management Service + Livestock Disease Prediction Prevention Service 6. Barn environment change analysis system Smart livestock disease odor management service safe agri-food Livestock product safety management Livestock movement-disease correlation analysis system Livestock disease prediction and prevention service 8. Pest image analysis system Pest management service smart local food 9. Appropriate production and shipment volume analysis system Local food planning and production service 10.Consumption trend analysis system Rural experience tour service science farming Next-generation agricultural subsidy 11. Integrated analysis system for management performance check GIS-based next-generation integrated subsidy management service 12.Agricultural policy recommendation analysis system by item GIS-based next-generation integrated subsidy management service Production Consumption Prediction 13. Optimal supply management analysis system Optimal supply and demand forecasting management service 14. Agricultural Products Consumption Prediction Analysis System Optimal supply and demand forecasting management service disaster warning 15. Comprehensive weather environment analysis system Meteorological integrated environmental information service + regional disaster early warning and proactive response service smart rural village 16. Rural space analysis system Korean Smart Farm Billy City Service + Rural Development Decision Making Simulation Service return home 17. Settlement model analysis system Decision making service + ICT weekend farm

[Table 5] shows the analysis system that provides basic analysis data for each 16 channel service (hereinafter referred to as the 'main analysis system') and the analysis system that provides auxiliary analysis data (hereinafter referred to as the 'auxiliary analysis system'). show

top service Big data channel service main analysis system Auxiliary analysis system 1. Precision Agriculture 1-1. Intelligent facility growth management service Optimal growth model analysis system, intelligent greenhouse management analysis system Integrated analysis system for management performance check, agricultural policy recommendation analysis system by item, pest image analysis system, weather environment comprehensive analysis system 1-2. Intelligent Field Production Management Service Production management analysis system Observational model analysis system for each item, integrated analysis system for management performance check, agricultural policy recommendation analysis system for each item, pest image analysis system, weather environment comprehensive analysis system 1-3. Outdoor abnormal temperature damage prediction service Item-specific observation model analysis system Production management analysis system, management system implementation check integrated analysis system, agricultural policy recommendation analysis system by item, weather environment comprehensive analysis system 1-4. Smart Livestock Disease Odor Management Service Livestock GPS Analysis System Livestock environment change analysis system, management system implementation check integrated analysis system, livestock movement disease-related analysis system, pest image analysis system, weather environment comprehensive analysis system 2. Safe agro-food field 2-1. Livestock Disease Prediction Prevention Service Livestock GPS analysis system, livestock movement-disease correlation analysis system Integrated analysis system for management performance check, pest image analysis system, weather environment comprehensive analysis system 2-2. Pest management service Pest image analysis system Optimal growth model analysis system, observation model analysis system for each item, livestock environment defense analysis system, management system performance check integrated analysis system, livestock GPS analysis system, livestock movement disease-related analysis system, weather environment comprehensive analysis system 2-3. Local food planning and production service Proper production and shipment volume analysis system Integrated analysis system for management performance check, agricultural and livestock consumption prediction analysis system, consumption trend analysis system 2-4. Rural experience tour service Consumption trend analysis system Rural space analysis system, integrated analysis system for management performance check, analysis system for predicting consumption of agricultural and livestock products 3. Scientific Agricultural Administration 3-1. GIS-based next-generation integrated subsidy service Integrated analysis system for management implementation check, analysis system for agricultural policy recommendation by item Optimal growth model analysis system, intelligent greenhouse management analysis system, production management analysis system, observation model analysis system for each item 3-2. Optimal supply and demand forecasting management service Optimal supply management analysis system, agricultural and livestock consumption prediction analysis system Appropriate production and shipment volume analysis system, integrated analysis system for management performance check, consumption trend analysis system, pest image analysis system, weather environment comprehensive analysis system 3-3. Disaster early warning and proactive response services by region Weather Environment Comprehensive Analysis System Field production management analysis system, observation model analysis system by item, management system performance check integrated analysis system, farm recommendation analysis system by item, pest image analysis system 3-4. Weather Integrated Environmental Information Service Weather Environment Comprehensive Analysis System Field production management analysis system, observation model analysis system by item, management system performance check integrated analysis system, farm recommendation analysis system by item, pest image analysis system 4. Smart Rural Field 4-1. Smart Farm Village Service Rural space analysis system Optimal growth model analysis system, intelligent greenhouse management analysis system, open field production management analysis system, observation model analysis system by item, management system performance check integrated analysis system, farm recommendation analysis system by item, pest image analysis system, weather environment comprehensive analysis system 4-2. Rural Development Decision Making Simulation Service Rural space analysis system Proper production and shipment volume analysis system, integrated analysis system for management performance check, consumption trend analysis system, agricultural and livestock consumption prediction analysis system, pest image analysis system, weather environment comprehensive analysis system 4-3. Decision-making service for repatriation Settlement model analysis system Appropriate production and shipment volume analysis system, rural space analysis system, integrated analysis system for business performance check, consumption trend analysis system, agricultural and livestock consumption prediction analysis system, pest image analysis system, weather environment comprehensive analysis system 4-4. ICT Weekend Farm Service Settlement model analysis system Optimal growth model analysis system, intelligent greenhouse management analysis system, field production management analysis system, observation model analysis system by item, management system performance check integrated analysis system, pest image analysis system, weather environment comprehensive analysis system

[Table 6] shows that the first to seventeenth analysis systems 151 to 167 are in the smart farm/environment/living DB 110, production/distribution/history DB 120, and space/disaster/pest DB 130 Shows the sub-categories set to be used for each channel service among the stored sub-categories.

Channel service analysis system Big data of utilization DB 1-1. Intelligent facility growth management service Optimal growth model analysis system -Environment/Control -Growth/Breeding -Management -Data from farms and research sites Intelligent greenhouse management analysis system Integrated analysis system for management performance check -production
Agricultural policy recommendation analysis system by item Pest image analysis system - pests
-space Weather Environment Comprehensive Analysis System 1-2. Intelligent Field Production Management Service Production management analysis system -Environment/Control -Growth/Breeding -Management -Data from farms and research sites Item-specific observation model analysis system Integrated analysis system for management performance check -production
Agricultural policy recommendation analysis system by item Pest image analysis system -Pests -Agricultural Meteorology
-space -agricultural environment Weather Environment Comprehensive Analysis System 1-3. Outdoor abnormal temperature damage prediction service Item-specific observation model analysis system -Environment/Control -Growth/Breeding -Management -Data from farms and research sites Production management analysis system Integrated analysis system for management performance check -production
Agricultural policy recommendation analysis system by item Weather Environment Comprehensive Analysis System -Agricultural Meteorology -Space -Agricultural Environment 1-4. Smart Livestock Disease Odor Management Service Barn environment change analysis system -Environment/Control -Growth/Breeding -Management -Data from farms and research sites Integrated analysis system for management performance check -production
-Certification/History
-Distribution/Consumption Livestock GPS Analysis System Livestock movement disease-related analysis system Pest image analysis system - pests
-space Weather Environment Comprehensive Analysis System 2-1. Livestock Disease Prediction Prevention Service Integrated analysis system for management performance check -production
-Certification/History
-Distribution/Consumption Livestock GPS Analysis System Livestock movement-disease association analysis system Pest image analysis system - pests
-space Weather Environment Comprehensive Analysis System 2-2. Pest management service Optimal growth model analysis system -environment/control -growth/breeding
Item-specific observation model analysis system Livestock environment defense analysis system Integrated analysis system for management performance check -production
-Certification/History
-Distribution/Consumption Livestock GPS Analysis System Livestock movement disease-related analysis system Pest image analysis system - pests
-space Weather Environment Comprehensive Analysis System 2-3. Local food planning and production service Proper production and shipment volume analysis system -Operation Integrated analysis system for management performance check -Production -Certification/History
-Distribution/Consumption -(Space) Agricultural Products Consumption Prediction Analysis System consumption trend analysis system 2-4. Rural experience tour service Rural space analysis system -life Integrated analysis system for management performance check -Production -Certification/History
-Distribution/Consumption -(Space) Agricultural Products Consumption Prediction Analysis System Consumption trend analysis system 3-1. GIS-based next-generation integrated subsidy service Optimal growth model analysis system -environment/control -growth/breeding
-Management -Data generated from farms and research sites Intelligent greenhouse management analysis system Production management analysis system Item-specific observation model analysis system Integrated analysis system for management performance check -Production -Pesticides
-Authentication/History -Distribution/Consumption -(Space) Agricultural policy recommendation analysis system by item 3-2. Optimal supply and demand forecasting management service Proper production and shipment volume analysis system -Operation Integrated analysis system for management performance check -production
-Certification/History
-Distribution/Consumption Agricultural Products Consumption Prediction Analysis System Optimal supply management analysis system consumption trend analysis system Pest image analysis system -Pests -Agricultural Meteorology -Space Weather Environment Comprehensive Analysis System 3-3. Disaster early warning and proactive response services by region Field production management analysis system -Environment/Control -Growth/Breeding -Management -Data from farms and research sites Item-specific observation model analysis system Integrated analysis system for management performance check -production
Farm recommendation analysis system by item Pest image analysis system -Pests -Agricultural Meteorology -Space
-Agricultural Environment Weather Environment Comprehensive Analysis System 3-4. Weather Integrated Environmental Information Service Field production management analysis system -Environment/Control -Growth/Breeding -Management -Data from farms and research sites Item-specific observation model analysis system Integrated analysis system for management performance check -production Farm recommendation analysis system by item Pest image analysis system -Pests -Agricultural Meteorology -Space
-Agricultural Environment Weather Environment Comprehensive Analysis System 4-1. Smart Farm Village Service Optimal growth model analysis system -Operation
-life Intelligent greenhouse management analysis system Field production management analysis system Item-specific observation model analysis system Rural space analysis system Integrated analysis system for management performance check -production
-Distribution/Consumption Farm recommendation analysis system by item Pest image analysis system -Pests -Agricultural Meteorology -Space
-Agricultural Environment Weather Environment Comprehensive Analysis System 4-2. Rural Development Decision Making Simulation Service Rural space analysis system -Operation
-life Proper production and shipment volume analysis system Integrated analysis system for management performance check -production
-Distribution/Consumption
consumption trend analysis system Agricultural Products Consumption Prediction Analysis System Pest image analysis system -Pests -Agricultural Meteorology -Space
-Agricultural Environment Weather Environment Comprehensive Analysis System 4-3. Decision-making service for repatriation Proper production and shipment volume analysis system -Operation
-life Rural space analysis system Settlement model analysis system -production
-Distribution/Consumption Integrated analysis system for management performance check consumption trend analysis system Agricultural Products Consumption Prediction Analysis System Pest image analysis system -Pests -Agricultural Meteorology -Space
-Agricultural Environment Weather Environment Comprehensive Analysis System 4-4. ICT Weekend Farm Service Optimal growth model analysis system -Operation
-life Intelligent greenhouse management analysis system Field production management analysis system Item-specific observation model analysis system Integrated analysis system for management performance check -Production -Distribution/Consumption Pest image analysis system -Pests -Agricultural Meteorology -Space
-Agricultural Environment Weather Environment Comprehensive Analysis System

Referring to [Table 6], it can be seen that even in the same analysis system, the big data utilized according to the requested channel service is changed.

On the other hand, when a desired service to be provided among 16 channel services is requested from the manager terminal 10 , the integrated service providing system 140 provides the requested desired service from among the first to seventeenth analysis systems 151 to 167 . It is possible to check the analysis systems necessary to provide, process the verified analysis systems to be driven, and integrate the analysis results of the verified analysis systems to provide the desired service requested by the manager terminal 10 .

In addition, the integrated service providing system 140 may provide information corresponding to the requested service by integrating the analysis results of the auxiliary analysis systems when an abnormality occurs in the main analysis system set for each service as shown in [Table 5], At this time, the fault problem of the system may be notified to the manager terminal 10 as well, and the analysis result using the main analysis system may also be notified to the manager terminal 10 later. In this way, the manager can be provided with a reliable service.

Hereinafter, the first to seventeenth analysis systems 151 to 167 and the integrated service providing system 140 provide 16 big data channel services with reference to [Table 5], [Table 6], and FIGS. 6 to 22 . Describe the action to be performed.

6 is a diagram illustrating a service provision concept using cloud-based big data according to an embodiment of the present invention.

Referring to FIG. 6 , the integrated service providing system 140 and the first to seventeenth analysis systems 151 to 167 are a smart farm/environment/living DB 110 , a production/distribution/history DB 120 and a space It is possible to provide 16 big data channel services by selectively utilizing the /disaster/pest DB 130 . The big data stored in the space/disaster/pest DB 130 may be commonly used to provide all channel services. In addition, in order to provide 16 channel services, the integrated service providing system 140 and the first to seventeenth analysis systems 151 to 167 are stored in a memory (not shown) of [Table 4] to [Table 10]. information is available.

7 is a view for explaining an operation of providing an intelligent facility growth service.

Referring to FIG. 7 , when the intelligent facility growth management service is requested from the manager terminal 10 , the integrated service providing system 140 checks the analysis systems required to provide the intelligent facility growth management service in [Table 6]. The integrated service providing system 140 includes the identified optimal growth model analysis system 151, the intelligent greenhouse management analysis system 152, the management system performance check integrated analysis system 161, the agricultural policy recommendation analysis system 162 by item, and the pest image analysis. [Table 6] confirms the DBs and subcategories that the system 158 and the comprehensive weather environment analysis system 165 should use to provide the intelligent facility growth management service.

For example, in the case of the optimal growth model analysis system 151, big data stored in the environment/control category and the growth/breeding category of the smart farm/environment/living DB 110 to provide an intelligent facility growth management service; The big data stored in the production category of the production/distribution/history DB 120 and the big data stored in the pest category and the spatial category of the space/disaster/pest DB 130 are analyzed.

The integrated service providing system 140 provides an intelligent facility growth management service to the manager terminal 10 by integrating the analysis results of the six analysis systems 151 , 152 , 161 , 162 , 158 , and 165 . That is, the integrated service providing system 140 provides the intelligent facility growth management service required by the smart farm managed by the manager to the manager terminal 10 .

The provided intelligent facility growth management service includes four service sub-items, each of which is an intelligent complex environment control item, an intelligent nutrient control item, an intelligent agricultural machine/robot item, and an intelligent pest management item.

The intelligent complex environment control item provides information necessary for automated management of smart farms such as temperature and humidity, air, light, and energy devices. For example, as a result of the analysis of the optimal growth model analysis system 151 and the intelligent greenhouse management analysis system 152, if the current temperature of the smart farm is higher than the optimum temperature required to cultivate the crops of the smart farm, the optimum temperature is guided. .

The intelligent nutrient control item provides information necessary for automated management of water supply, drainage, soil, and medium in smart farms.

The intelligent farm machine/robot item provides information necessary for automated management of intelligent farm machines or robots in use in smart farms, such as measurement, seedling, transfer and movement, and red leaf/harvest.

The intelligent pest management item provides intelligent management information necessary for predicting, predicting, diagnosing, or controlling pests that have occurred or may occur in the smart farm. For example, when a manager requests an intelligent facility growth management service or selects an intelligent pest management item while uploading a picture of pests occurring on the farm through the manager terminal 10, six analysis systems 151, 152, 161, 162 , 158, 165) and the integrated service providing system 140 analyze whether there is a history of the occurrence of pests identical or similar to the picture in other smart farms similar to the environment such as the current temperature and humidity of the smart farm, predicting the type of pest, and diagnosing The method may be determined and transmitted to the manager terminal 10 .

8 is a view for explaining an operation of providing an intelligent on-site production management service.

Referring to FIG. 8 , when an intelligent on-site production management service is requested from the manager terminal 10, the integrated service providing system 140 checks the analysis systems required to provide the intelligent on-site production management service in [Table 6]. The integrated service providing system 140 identifies the DBs and subcategories that the six analysis systems 153, 154, 161, 162, 158, and 165 should be utilized to provide the intelligent on-site production management service [Table 6] ] and process it to perform analysis necessary to provide services using the corresponding big data.

The integrated service providing system 140 integrates the analysis results of the six analysis systems 153 , 154 , 161 , 162 , 158 , and 165 to provide an intelligent field production management service to the manager terminal 10 . Since the specific operation of the intelligent on-site production management service may be similar to that described with reference to FIG. 7 , a detailed description thereof will be omitted.

9 is a diagram for explaining an operation of providing an on-site abnormal temperature damage prediction service, FIG. 10 is a diagram for explaining an operation of providing a smart livestock disease odor management service, and FIG. 11 is an operation of providing a livestock disease prediction prevention service Figure 12 is a diagram for explaining the operation of providing a general pest management service, Figure 13 is a diagram for explaining the operation of providing a local food planning and production service, Figure 14 is a rural experience tourism service is provided Fig. 15 is a diagram for explaining the operation of providing the GIS-based next-generation integrated subsidy service, Fig. 16 is a diagram for explaining the operation of providing an optimal supply-demand forecasting management service, and Fig. 17 is a regional disaster A diagram for explaining an operation of providing an early warning and proactive response service, FIG. 18 is a diagram for explaining an operation of providing an integrated weather environment information service, and FIG. 19 is a diagram for explaining an operation of providing a Korean smart farm village service Figure 20 is a diagram for explaining the operation of providing a rural development decision-making simulation service, Figure 21 is a diagram for explaining the operation of providing a decision-making service for returning hometown settlement, Figure 22 is a diagram for providing an ICT weekend farm service It is a drawing for explaining an operation.

The analysis systems used for each channel service shown in FIGS. 9 to 22 , the DB used for analysis of the analysis systems, the analysis result, and the specific service operation may be similar to those described with reference to FIG. 7 , so detailed description is omitted.

[Table 7] to [Table 10] show service sub-items provided by each channel service shown in FIGS. 7 to 22 .

top service Big data channel service service child Service contents 1. Precision Agriculture 1-1. Intelligent facility growth management service Intelligent complex environment control Automated management of temperature and humidity, air, light, energy devices, etc. Intelligent Nutrient Control Automated management of water supply, drainage, soil, medium, etc. Intelligent Farm Machinery/Robot Measurement, seedling, transport and transfer, red leaf/harvest automation management Intelligent pest management Intelligent management of pest prediction, prediction, diagnosis, and control 1-2. Intelligent Field Production Management Service Intelligent complex environment control Automated management of temperature and humidity, wind direction and speed, light, and energy devices Intelligent Nutrient Control Automated management of nutrient solution, moisture, soil, medium, etc. Intelligent Farm Machinery/Robot Measurement, seedling, transfer and transfer, red leaf/harvest automation management Intelligent pest management Intelligent management of pest prediction, prediction, diagnosis, and control Intelligent weather environment management Intelligent management of disasters, soil and water quality based on weather information 1-3. Outdoor abnormal temperature damage prediction service Intelligent complex environment control Automated management of temperature and humidity, wind direction and speed, light, and energy devices Intelligent Nutrient Control Automated management of nutrient solution, moisture, soil, medium, etc. Intelligent Farm Machinery/Robot Measurement, seedling, transfer and transfer, red leaf/harvest automation management Intelligent pest management Intelligent management of pest prediction, prediction, diagnosis, and control Intelligent weather environment management Intelligent management of disasters, soil and water quality based on weather information 1-4. Smart Livestock Disease Odor Management Service Intelligent livestock movement control Integrated management of livestock products vehicle type, operation information and GPS information Smart livestock complex environment control Disease and odor control in livestock based on advanced ICT technology Intelligent disease management Intelligent management of disease prediction, prediction, diagnosis and control Intelligent weather environment management Intelligent management of disasters, soil and water quality based on weather information

top service Big data channel service service child Service contents 2. Safe agro-food field 2-1. Livestock Disease Prediction Prevention Service Prevention and safety guidance service Prediction of occurrence/spread of animal disease based on GIS data analysis Intelligent livestock movement control Integrated management of livestock products vehicle type, operation information and GPS information Intelligent disease management Intelligent management of disease prediction, prediction, diagnosis and control Intelligent weather environment management Intelligent management of disasters, soil and water quality based on weather information 2-2. Pest management service Pest image analysis automatic recognition identification Growth, observation model X Comparative analysis of pest image DB Intelligent pest management Intelligent management of pest prediction, prediction, diagnosis, and control Intelligent weather environment management Intelligent management of disasters, soil and water quality based on weather information 2-3. Local food planning and production service Prediction of proper production and shipment volume of farms Linkage of main consumption and supply information by farmhouse and daily Farm production history management such as certification History management for all stages of production, processing, and logistics Production-distribution-consumption information linkage Linked management of information on all stages of the life cycle of local agricultural products Administrative district, local government information Geospatial information management for regional production-consumption linkage analysis 2-4. Rural experience tour service Rural area spatial analysis from a business perspective Review of business development potential between local food and regional characteristics Production-distribution-consumption information linkage Linked management of information on all stages of local agricultural products Administrative district, local government information Geospatial information management for regional production-consumption linkage analysis

top service Big data channel service service child Service contents 3. Scientific Agricultural Administration 3-1. GIS-based next-generation integrated subsidy service farmer Input personal information, apply for and support various subsidies, and check information on implementation check government officials It is possible to check the status of cultivation using drones and agricultural satellites and check the implementation of subsidies Administrative district, local government information Geospatial information management for regional production-consumption linkage analysis 3-2. Optimal supply and demand forecasting management service Optimal supply management Analysis of production volume and distribution price (origin/distribution/consumer) Optimal consumption forecasting Prediction of consumption through POS information of major marts, main ingredients by season, and consumption information Prediction of supply impact of pests Reflecting the forecast for the impact of pests on supply this year Prediction of supply impact of meteorological environment Reflecting forecasts for the impact of weather conditions on supply this year 3-3. Disaster early warning and proactive response services by region GIS-based weather and disaster forecasting Weather/disaster prediction information-based early warning/preemptive response management Prediction of agricultural effects of pests and diseases Reflecting the forecast for the impact of pests on supply this year Prediction of agricultural impact of weather environment Reflection of all-round influence predictions such as weather, disasters, soil, and crop conditions 3-4. Weather Integrated Environmental Information Service Recommendation of agricultural policy according to climate change Recommend item selection, adjustment of varieties/mature maturity, and change of cultivation technology according to changes in the weather environment Prediction of agricultural effects of pests and diseases Reflecting the forecast for the impact of pests on supply this year Prediction of agricultural impact of weather environment Reflection of all-round influence predictions such as weather, disasters, soil, and crop conditions

top service Big data channel service service child Service contents 4. Smart Rural Field 4-1. Smart Farm Village Service Life improvement through smart farm Advancement of quality of life and living environment in rural areas through smart farms Rural Space Big Data Lab Rural life (Life), resource (Resource), space (Space) big data service Intelligent disease/pest management Advancement of quality of life through smart management of diseases and pests Intelligent weather environment management Intelligent management of disasters, soil and water quality based on weather information 4-2. Rural Development Decision Making Simulation Service Farm map based space design Linkage of local facility and business status information based on farm map => Prevention of overlapping investment + efficient rural development Rural Space Big Data Lab Rural life (Life), resource (Resource), space (Space) big data service Agricultural products production consumption map Agricultural and livestock production consumption by region X farm map = GIS information provision Pest/Disease Map Pest/disease information by region X farm map = GIS information provision meteorological environment map Weather, disaster, soil, water quality X farm map = GIS information provision 4-3. Decision-making service for repatriation Settlement Model Big data-based crop information recommendation and environmental information provision Rural Space Big Data Lab Rural life (Life), resource (Resource), space (Space) big data service Agricultural products production consumption map Agricultural and livestock production consumption by region X farm map = GIS information provision Pest/Disease Map Pest/disease information by region X farm map = GIS information provision meteorological environment map Weather, disaster, soil, water quality X farm map = GIS information provision 4-4. ICT Weekend Farm Service Intelligent complex environment control Automated management of temperature and humidity, wind direction and speed, light, and energy devices Intelligent Nutrient Control Automated management of nutrient solution, moisture, soil, medium, etc. Intelligent Farm Machinery/Robot Measurement, seedling, transfer and transfer, red leaf/harvest automation management Intelligent pest management Intelligent management of pest prediction, prediction, diagnosis, and control Intelligent weather environment management Intelligent management of disasters, soil and water quality based on weather information

For example, referring to [Table 10] and FIG. 21 , when the manager requests a decision-making service for returning to farming and returning home through the manager terminal 10 and selecting a desired region, the present invention is possible in the desired region. By analyzing the necessary information when deciding to return to farming, such as recommending crop information (return home settlement model), providing rural life information in a desired area (rural space big data lab), or providing pest information (pest/disease map), can provide

According to the above-described embodiment of the present invention, convergence big data DBs 110 to 130 are built by integrating various big data managed by public institutions, private institutions, R&D institutions, etc. in relation to smart farms, precision agriculture fields, Various channel services can be provided for each smart rural sector, safe agri-food sector, and scientific farming sector, and in particular, it can be provided using a cloud-based platform.

In the above, even though all the components constituting the embodiment of the present invention are described as being combined or operating in combination, the present invention is not necessarily limited to this embodiment. That is, within the scope of the object of the present invention, all the components may operate by selectively combining one or more. In addition, although all of the components may be implemented as one independent hardware, some or all of the components are selectively combined to perform some or all functions of the combined components in one or a plurality of hardware program modules It may be implemented as a computer program having Codes and code segments constituting the computer program can be easily deduced by those skilled in the art of the present invention. Such a computer program is stored in a computer readable storage medium (Computer Readable Media), read and executed by the computer, thereby implementing the embodiment of the present invention.

On the other hand, although described and illustrated in relation to a preferred embodiment for illustrating the technical idea of the present invention as described above, the present invention is not limited to the configuration and operation as shown and described as such, and deviates from the scope of the technical idea. It will be apparent to those skilled in the art that many changes and modifications to the present invention are possible without the above. Accordingly, all such suitable alterations and modifications and equivalents are to be considered as falling within the scope of the present invention. Accordingly, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

10: Administrator terminal
100: Service providing device using big data
110-130: first to third convergence big data DBs
140: integrated service providing system
151-167: first to seventeenth analysis systems

Claims (11)

In the cloud-based big data service providing device that provides a plurality of services using cloud-based big data,
a plurality of convergence big data DBs that store convergence big data, which is the result of processing and convergence of smart farm-related information provided by a number of public and private organizations by category;
a plurality of main analysis systems for selectively analyzing convergence big data stored in the plurality of convergence big data DBs to provide the plurality of services; and
When a desired service to be provided among the plurality of services is requested from a terminal of an administrator who manages the smart farm (hereinafter referred to as 'manager terminal'), providing the requested desired service from among the plurality of main analysis systems An integrated service providing system that identifies the main analysis systems necessary for this, processes the identified main analysis systems to be driven, and provides the requested desired service by integrating the analysis results of the identified main analysis systems;
Many of the services are
A precision agriculture field that provides services related to the facilities, fields and livestock of each of the smart farms, a smart rural field that provides services related to farm villages and returnees, and services related to agricultural and livestock safety management and smart local food. Including the field of safe agro-food and the field of science agriculture that provides services related to next-generation agricultural subsidies, production and consumption forecasting, and disaster information;
The sub-services of the precision agriculture sector are,
An intelligent facility growth management service that provides a service for increasing productivity and stability of intelligent facilities related to smart farms, an intelligent outdoor production management service that provides an optimal production and risk prediction improvement service for an intelligent field, and damage to the field due to an abnormal temperature It includes an on-site abnormal temperature damage prediction service that provides prediction and response improvement services, and a smart livestock disease odor management service for integrated disease management and odor management through smart livestock and livestock product movement control,
The sub-services of the smart rural sector are,
A smart farm village service for solving current issues including the aging of rural areas and improving the living convenience of farmers, a rural development decision-making simulation service that provides rural development information/standards in consideration of the rural status, settlement conditions, and spatial characteristics; Settlement model self-design and settlement decision-making consultation design service, including a decision-making service for returning to rural areas,
The main analysis systems that provide basic analysis data of sub-services in the precision agriculture field are,
An optimal growth model analysis system that analyzes agricultural environment and production information for each item of the smart farm, an intelligent greenhouse management analysis system that analyzes scenario-based productivity improvement for smart farm facilities and installations, and an optimal growth model analysis system that analyzes changes in the external environment of the field Production management analysis system for analysis of irrigation and administration cost labor reduction and disaster prevention analysis, observation model analysis system for each item that analyzes observation models for each field item by integrating accumulated weather, growth and environment information, and GPS (Global Positioning System)-based It includes a livestock GPS analysis system that integrates analysis of livestock operation information, disease outbreak information, and farmhouse information, and a livestock livestock environment change analysis system that analyzes environmental changes using ICT (Information & Communication Technology) technology,
The main analysis systems that provide basic analysis data of sub-services in the smart rural field are,
A rural spatial analysis system that analyzes rural life, resources, and space through linking with the national big data platform data, and a self-designing and resettlement model analysis system for a settling model based on big data and artificial intelligence includes,
The main analysis system for providing basic analysis data of the intelligent facility growth management service includes the optimal growth model analysis system and the intelligent greenhouse management analysis system,
The main analysis system for providing basic analysis data of the intelligent field production management service includes the production management analysis system,
The main analysis system that provides basic analysis data of the outdoor abnormal temperature damage prediction service includes the observation model analysis system for each item,
The main analysis system for providing basic analysis data of the smart livestock disease odor management service includes the livestock GPS analysis system,
The main analysis system that provides basic analysis data of the smart farm village service includes the rural space analysis system,
The main analysis system for providing basic analysis data of the rural development decision-making simulation service includes the rural space analysis system,
The main analysis system that provides the basic analysis data of the homecoming and returning home settlement decision-making service includes the homecoming homecoming settlement model analysis system,
The main analysis systems selectively operate as auxiliary analysis systems other than the sub-services set to provide basic analysis data,
The integrated service providing system,
When an abnormality occurs in the main analysis system for providing the requested desired service, the auxiliary analysis systems configured to provide the desired service as an auxiliary are driven, and the analysis results of the auxiliary analysis systems are integrated to generate auxiliary analysis data. A service providing device using cloud-based big data, characterized in that it provides. delete delete According to claim 1,
The sub-services in the safe agro-food sector are:
Livestock disease prediction and prevention service that provides disease management service according to disease outbreak information input from the manager terminal, pest general management service that provides pest management service after the occurrence of pests, and production efficiency and safety through transparent distribution of local products A service providing device using cloud-based big data, comprising: a local food planning and production service that provides a consumption culture service; and a rural experience tourism service that provides an experience service through connection with the local food planning and production service . According to claim 1,
The sub-services in the field of science and agriculture are:
GIS (Geographic Information System)-based next-generation integrated subsidy service that enables subsidy application by lot and crop to check implementation and inspection based on farmer registration information, and optimal delivery time including supply-distribution-consumption-pest-weather forecasting Optimal supply-demand forecasting management service that provides decision-making services, regional disaster early warning and proactive response services that improve disaster early warning and proactive response speed through integrated analysis of GIS information and disaster information, and productivity and stability through integrated weather forecasting A service providing device using cloud-based big data, characterized in that it includes an integrated weather environment information service that provides a production and shipment time, item, and variety selection service. delete delete According to claim 1,
The main analysis systems that provide basic analysis data of sub-services in the safe agro-food field are,
Livestock movement-disease association analysis system for identification of disease spread path and preemptive prevention using a spread prediction model through analysis of the relationship between human movement, vehicle movement and disease spread, and pattern analysis including the shape, color, and size of pests A pest image analysis system that analyzes pest diagnosis through post-diagnosis deep learning analysis, an appropriate production and shipment volume analysis system that predicts the appropriate production and shipment volume of farms through linkage analysis of main consumption and supply information by farm and daily; A service providing device using cloud-based big data, characterized in that it includes a consumption trend analysis system that analyzes consumption trends by region by linking consumption and supply information by region. According to claim 1,
The main analysis systems that provide basic analysis data of sub-services in the field of science and agriculture are,
Based on agricultural management information, the farm map, direct payment system support information, farmland / land, soil environment, and agricultural implementation inspection integrated analysis system that analyzes agricultural implementation inspection and agricultural management information-based farmhouse basic information, production, shipment, income, and distribution information Agricultural policy recommendation analysis system by item that recommends customized agricultural policy by item through an optimal supply management analysis system that analyzes production volume and distribution price for optimal supply management, Point of Sales (POS) information of vendors’ marts, and seasonal main ingredients / Consumption prediction analysis system that predicts consumption of agricultural and livestock products by using consumption information, and a weather environment comprehensive analysis system that analyzes disaster, soil, pests, water quality, and crop information based on farm weather A service providing device using cloud-based big data. delete According to claim 1,
The plurality of convergence big data DBs,
Smart farm/environment/living DB for storing environment/control information, growth/breeding information, management information, and living information of each smart farm;
a production/distribution/history DB for storing production information, pesticide information, authentication/history information, and distribution/consumption information of each of the smart farms; and
A service providing device using cloud-based big data, comprising: a space/disaster/pest DB for storing pest information, agricultural weather information, spatial information, and agricultural environment information of each of the smart farms.

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