WO2022098101A1 - 산지 경매가 기반의 농산물 공급자 중심 역경매 가격 산출 방법 및 시스템 - Google Patents
산지 경매가 기반의 농산물 공급자 중심 역경매 가격 산출 방법 및 시스템 Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G06Q30/00—Commerce
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Definitions
- the present disclosure relates to a method and system for calculating a reverse auction price centered on an agricultural product supplier based on the local auction price for predicting the reverse auction price of agricultural products, specifically, calculating the reverse auction price based on the local auction price, and a minimum transaction matching the calculated price It relates to a method and system that can determine a unit and conclude an agricultural product sale between a customer and an agricultural product supplier in a reverse auction method.
- agricultural products are sold through an auction after the wholesale market corporation is entrusted with the sale from the first supplier (producer) of agricultural products.
- wholesalers of agricultural products participate in these auctions to purchase agricultural products, and then resell the agricultural products to retailers, intermediate wholesalers, consumers, etc. with a margin on the agricultural products. Therefore, there is a problem in that the final consumers of agricultural products eventually purchase the agricultural products at a price significantly higher than the price sold by the producer.
- the present disclosure provides a method for calculating a supplier-centered reverse auction price based on an agricultural product based on a local auction price, a computer program stored in a recording medium, and an apparatus (system) for solving the above problems.
- the present disclosure may be implemented in various ways including a method, an apparatus (system), or a computer program stored in a readable storage medium.
- the method for calculating the reverse auction price of agricultural products which is performed by at least one processor, includes collecting data on the auction price of agricultural products including the successful bid price and auction date of the agricultural products from one or more external devices , the step of processing the collected agricultural product production area auction data, generating daily time series data that is the basis for calculating the reverse auction price of agricultural products, and inputting the generated daily time series data into the reverse auction price calculation model of agricultural products to determine the reverse auction price of agricultural products It includes the step of extracting.
- the step of processing the collected agricultural product auction data and generating daily time series data that is the basis for calculating the reverse auction price of agricultural products includes using an interpolation method, wherein the auction of agricultural products is not performed. estimating the expected auction data for the date, and generating daily time-series data based on the agricultural production region auction data and the expected auction price data.
- the step of processing the collected agricultural product regional auction data and generating daily time series data that is the basis for calculating the reverse auction price of agricultural products includes: and smoothing to generate daily time series data.
- the step of collecting a plurality of variables associated with the agricultural product production area auction data and using the collected plurality of variables, reverse auction of agricultural products for calculating the reverse auction price of agricultural products according to changes in the plurality of variables further includes generating a pricing model.
- the steps of calculating the correlation score of each variable collected with the agricultural product production area auction data, extracting a variable having the calculated correlation score equal to or greater than a predetermined criterion, and using the extracted variable further includes the step of regenerating a reverse auction price calculation model for agricultural products for calculating the reverse auction price of agricultural products according to changes in the extracted variables.
- the agricultural product reverse auction price calculation model is an ARDL model.
- the method further includes transmitting the reverse auction price of agricultural products extracted to one or more purchaser terminals and receiving the purchase quantity of agricultural products according to the reverse auction price from the purchaser terminal receiving the reverse auction price of agricultural products. do.
- the steps of transmitting the reverse auction price of agricultural products extracted to one or more supplier terminals and receiving the desired sales quantity of agricultural products according to the reverse auction price from the supplier terminal receiving the reverse auction price of agricultural products are further performed.
- a computer program stored in a computer-readable recording medium is provided for executing the above-described method for calculating the reverse auction price of agricultural products according to an embodiment of the present disclosure.
- An information processing system includes a communication module, a memory, and at least one processor connected to the memory and configured to execute at least one computer-readable program included in the memory.
- the at least one processor collects data on the farm price of agricultural products including the successful bid price and the auction date of agricultural products from one or more external devices, and processes the collected farm auction data of agricultural products, so that the basis of calculating the reverse auction price of agricultural products is It includes commands for generating the daily time series data to be used, inputting the generated daily time series data into the agricultural product reverse auction price calculation model, and extracting the reverse auction price of agricultural products.
- the method and system according to various embodiments of the present disclosure may not only predict a reasonable reverse auction price of agricultural products, but also provide the predicted reverse auction price to users, so that an actual transaction is made at the price. Accordingly, buyers and suppliers (sellers) of agricultural products can purchase or sell agricultural products at a reasonable price predicted by the system.
- the method and system according to various embodiments of the present disclosure may generate a reverse auction price calculation model for agricultural products optimized for each agricultural product by extracting only variables with statistical significance when calculating the reverse auction price of each agricultural product.
- Methods and systems according to various embodiments of the present disclosure can effectively generate daily time-series data for input to a reverse auction price calculation model for agricultural products by supplementing the data of the local auction price on a specific day by using an interpolation method.
- the method and system according to various embodiments of the present disclosure do not calculate the reverse auction price of agricultural products by using the farm auction data as it is, but perform smoothing based on a predetermined algorithm, and calculate the reverse auction price of agricultural products, It can effectively improve the stability of the reverse auction price.
- a user may purchase agricultural products in a desired quantity directly from a supplier (eg, a producer) at a reasonable price suggested by the system.
- a supplier eg, a producer
- Methods and systems according to various embodiments of the present disclosure can effectively reduce unnecessary costs required for distribution of agricultural products by activating trade of agricultural products by using both characteristics of joint purchase and direct transaction.
- FIG. 1 is a diagram illustrating an example in which a reverse auction price of agricultural products is provided through an application operating in a user terminal according to an embodiment of the present disclosure.
- FIG. 2 is a schematic diagram illustrating a configuration in which an information processing system is connected to communicate with a plurality of user terminals in order to provide a reverse auction price calculation service for agricultural products according to an embodiment of the present disclosure.
- FIG. 3 is a block diagram illustrating an internal configuration of a user terminal and an information processing system according to an embodiment of the present disclosure.
- FIG. 4 is a block diagram illustrating an internal configuration of a processor according to an embodiment of the present disclosure.
- FIG. 5 is a diagram illustrating an example of time-series data for each day generated using an interpolation method according to an embodiment of the present disclosure.
- FIG. 6 is a diagram illustrating an example of time-series data for each day generated using smoothing according to an embodiment of the present disclosure.
- FIG. 7 is a diagram illustrating an example of a user interface in which a reverse auction price of agricultural products calculated according to an embodiment of the present disclosure is displayed.
- FIG. 8 is a diagram illustrating an example of a user interface for inputting detailed information for purchasing agricultural products according to an embodiment of the present disclosure.
- FIG. 9 is a diagram illustrating an example of an artificial neural network for extracting a reverse auction price of agricultural products according to an embodiment of the present disclosure.
- FIG. 10 is a flowchart illustrating an example of a method for calculating a reverse auction price of agricultural products according to an embodiment of the present disclosure.
- FIG. 11 is a flowchart illustrating a method of performing agricultural product transaction between a buyer terminal, an information processing system, and a supplier terminal according to an embodiment of the present disclosure.
- 'module' or 'unit' used in the specification means a software or hardware component, and 'module' or 'unit' performs certain roles.
- 'module' or 'unit' is not meant to be limited to software or hardware.
- a 'module' or 'unit' may be configured to reside on an addressable storage medium or configured to reproduce one or more processors.
- a 'module' or 'unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, and properties. , procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays or at least one of variables.
- Components and 'modules' or 'units' are the functions provided therein that are combined into a smaller number of components and 'modules' or 'units' or additional components and 'modules' or 'units' can be further separated.
- a 'module' or a 'unit' may be implemented with a processor and a memory.
- 'Processor' should be construed broadly to include general purpose processors, central processing units (CPUs), microprocessors, digital signal processors (DSPs), controllers, microcontrollers, state machines, and the like.
- a 'processor' may refer to an application specific semiconductor (ASIC), a programmable logic device (PLD), a field programmable gate array (FPGA), or the like.
- ASIC application specific semiconductor
- PLD programmable logic device
- FPGA field programmable gate array
- 'Processor' refers to a combination of processing devices, such as, for example, a combination of a DSP and a microprocessor, a combination of a plurality of microprocessors, a combination of one or more microprocessors in combination with a DSP core, or any other such configuration. You may. Also, 'memory' should be construed broadly to include any electronic component capable of storing electronic information.
- RAM random access memory
- ROM read-only memory
- NVRAM non-volatile random access memory
- PROM programmable read-only memory
- EPROM erase-programmable read-only memory
- a memory is said to be in electronic communication with the processor if the processor is capable of reading information from and/or writing information to the memory.
- a memory integrated in the processor is in electronic communication with the processor.
- 'auction price data of a production area' may include, but is not limited to, the actual auction price at which each agricultural product was sold for a specific period in the past (eg, one year, two years, etc.).
- the production area auction price data may further include an auction date, a variety, a unit, a grade, a production area, supplier information, a lowest price, a highest price, a previous year price, a price compared to the previous year, and the like.
- 'agricultural product reverse auction price' is a proposed transaction price extracted by a system associated with a agricultural product reverse auction price calculation service, and may represent a price in an arbitrary weight unit (eg, 1 kg, 1 t, etc.).
- FIG. 1 is a diagram illustrating an example in which a reverse auction price of agricultural products is provided through an application operating in a user terminal 120 according to an embodiment of the present disclosure.
- the user 110 may receive the reverse auction price of each agricultural product through an application related to the reverse auction price calculation service for agricultural products using the user terminal 120 .
- the user 110 may be a buyer wishing to purchase agricultural products at a reverse auction price or a supplier wishing to sell agricultural products at a reverse auction price
- the user terminal 120 may correspond to a purchaser terminal or a supplier terminal. .
- the user 110 may be provided with the user interface 130 in which the reverse auction price of agricultural products is displayed.
- the user interface 130 may include information 132 of agricultural products on sale or scheduled to be sold (eg, types of agricultural products, reverse auction prices of agricultural products, etc.).
- the user 110 may select agricultural products displayed on the user interface 130 through a touch input or the like, and purchase or sell agricultural products at the calculated reverse auction price.
- the reverse auction price of agricultural products may be calculated by a system associated with the reverse auction price calculation and/or provision of agricultural products.
- the system may predict the current and/or future reverse auction price of agricultural products by using the agricultural product's local auction price data.
- the production area auction price data may include, but is not limited to, the actual auction price at which each agricultural product was sold for a specific period in the past (eg, one year, two years, etc.).
- the local auction price data may further include any data that may affect the auction price of agricultural products.
- the system may collect data on the auction price of agricultural products from one or more external devices (eg, a system of a sales/auction consignment company of agricultural products, etc.) .
- the system may collect farm data by dividing by type, grade, and standard of agricultural products, or store the collected farm auction data by dividing by type, grade, and standard of agricultural products.
- the system may use web crawling or the like to collect live auction data from a database or web page published on the Internet, or the like.
- the system may process the collected farm product auction data to generate daily time series data that is the basis for calculating the reverse auction price of agricultural products.
- the daily time-series data may refer to data generated by classifying and/or associating the data of the production area auction of each agricultural product by auction date.
- the system may use the generated daily time series data to predict the current and/or future reverse auction price of agricultural products.
- the system may extract only data suitable for predicting the reverse auction price from among the received local auction data.
- the system may use any predetermined algorithm to extract or mine the data to extract data suitable for predicting reverse auction prices.
- the system may perform pre-processing of the extracted data to generate daily time series data.
- data preprocessing may be performed to unify the auction unit (sale unit, weight unit) of the auction price.
- data preprocessing may be performed to extract the average of the daily price of the auction price of each agricultural product, the top 75% of the daily price, the median of the daily price, and the like.
- the system may use interpolation to generate daily time series data.
- the system uses an interpolation method to estimate expected auction price data for a date on which auctions of agricultural products are not performed, and generates daily time series data based on the farm price data of agricultural products and the expected auction price data can do. That is, since the local auction price data does not include the data of the local auction price of the date on which the auction was not performed, the system estimates the expected auction price data based on the data of the local auction, and then provides an estimate for the date on which the auction is not performed. It is possible to generate daily time series data containing the auction data.
- the system may generate daily time series data by smoothing the farm auction data of agricultural products based on a predetermined algorithm.
- smoothing may refer to a technique and/or method for reducing or excluding abrupt fluctuations in data. That is, the system can generate daily time series data by using smoothing to smooth a portion of the data in which the variability is higher than the predetermined standard for the auction in the mountainous area. For example, the system can perform smoothing by finding the average price of agricultural products in a rolling-window method.
- the system may extract the reverse auction price of agricultural products by using the agricultural product reverse auction price calculation model.
- the system collects a plurality of variables related to the agricultural production area auction data, and uses the collected plurality of variables to calculate the reverse auction price of agricultural products according to the change of the plurality of variables.
- the variables related to the farm auction price data of agricultural products include weather variables such as precipitation for each day, temperature, soil moisture, wind, etc. can do. That is, the system can create a reverse auction price calculation model for agricultural products that indicates the relationship between weather variables such as precipitation, temperature, soil moisture, wind, and the like, and variables such as the auction price in the Garak market that occur after the auction in the mountain area.
- Such information on a plurality of variables may be received from one or more external devices or may be collected by the system using web crawling or the like.
- the system may extract the reverse auction price of agricultural products by inputting the generated daily time series data to the agricultural product reverse auction price calculation model. That is, the agricultural product reverse auction price calculation model can predict the current and/or future reverse auction price of agricultural products by using variables such as current precipitation, temperature, soil moisture, wind, and daily time series data.
- the extracted/predicted reverse auction price of agricultural products may be transmitted to the user terminal 120 . That is, the user 110 may purchase or sell agricultural products based on the provided reverse auction price.
- the system not only predicts a reasonable reverse auction price of agricultural products, but also provides the predicted reverse auction price to users, so that an actual transaction can be made at the corresponding price. Accordingly, buyers and suppliers (sellers) of agricultural products can purchase or sell agricultural products at a reasonable price predicted by the system.
- the system may calculate a minimum transaction unit corresponding to the predicted reverse auction price together with the reverse auction price.
- the minimum transaction unit may indicate the quantity, price, etc. of agricultural products that can be directly traded between agricultural products buyers and suppliers.
- the calculated reverse auction price and the minimum transaction unit may be transmitted to the user terminal 120 . That is, the user 110 may purchase or sell agricultural products based on the provided reverse auction price and the minimum transaction unit.
- the system may perform a joint order procedure for a plurality of users in order to match the purchase quantity or price of agricultural products according to the minimum transaction unit within a specific period.
- the system may conclude a transaction according to the reverse auction method between the agricultural product supplier and the plurality of users when the quantity or price of agricultural products purchased by a plurality of users received according to the joint order procedure satisfies the minimum transaction unit.
- the system not only predicts the reasonable reverse auction price of agricultural products, but also brokers the actual transaction at the predicted reverse auction price after buyers who individually do not have sufficient purchasing power satisfy the minimum transaction unit in a joint order method. can Accordingly, buyers and suppliers (sellers) of agricultural products can purchase or sell agricultural products by collecting individual purchasing power in a kind of cloud funding method at a reasonable price predicted by the system.
- the information processing system 230 may include a system capable of providing a reverse auction price calculation and/or provision service for agricultural products through the network 220 .
- the information processing system 230 stores and provides a computer-executable program (eg, a downloadable application) and data related to the provision of an agricultural product sales service, an agricultural product reverse auction price calculation and/or provision service, and the like.
- the agricultural product reverse auction price calculation service provided by the information processing system 230 may be provided to the user through an application associated with the agricultural product reverse auction price calculation service installed in each of the plurality of user terminals 210_1, 210_2, 210_3.
- the plurality of user terminals 210_1 , 210_2 , and 210_3 may communicate with the information processing system 230 through the network 220 .
- the plurality of user terminals 210_1 , 210_2 , and 210_3 may include a terminal of a buyer for purchasing agricultural products, a terminal of a supplier for selling agricultural products, and the like.
- the network 220 may be configured to enable communication between the plurality of user terminals 210_1 , 210_2 , and 210_3 and the information processing system 230 .
- Network 220 according to the installation environment, for example, Ethernet (Ethernet), wired home network (Power Line Communication), telephone line communication device and wired networks such as RS-serial communication, mobile communication network, WLAN (Wireless LAN), It may consist of a wireless network such as Wi-Fi, Bluetooth and ZigBee, or a combination thereof.
- the communication method is not limited, and the user terminals 210_1, 210_2, 210_3 as well as a communication method using a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, a broadcasting network, a satellite network, etc.) that the network 220 may include. ) may also include short-range wireless communication between
- the mobile phone terminal 210_1, the tablet terminal 210_2, and the PC terminal 210_3 are illustrated as examples of the user terminal in FIG. 2, the present invention is not limited thereto, and the user terminals 210_1, 210_2, and 210_3 are wired and/or wireless communication.
- This may be any computing device capable of and on which an application associated with a reverse auction price calculation service for agricultural products may be installed and executed.
- a user terminal is a smartphone, a mobile phone, a navigation system, a computer, a laptop computer, a digital broadcasting terminal, a PDA (Personal Digital Assistants), a PMP (Portable Multimedia Player), a tablet PC, a game console (game console), a wearable device ( wearable devices), Internet of things (IoT) devices, virtual reality (VR) devices, augmented reality (AR) devices, and the like.
- PDA Personal Digital Assistants
- PMP Portable Multimedia Player
- tablet PC a game console
- wearable device wearable devices
- Internet of things (IoT) devices Internet of things
- VR virtual reality
- AR augmented reality
- three user terminals 210_1 , 210_2 , and 210_3 are illustrated as communicating with the information processing system 230 through the network 220 , but the present invention is not limited thereto, and a different number of user terminals is connected to the network ( It may be configured to communicate with information processing system 230 via 220 .
- the information processing system 230 may transmit the reverse auction price and/or the minimum transaction unit of the extracted agricultural products to the user terminals 210_1 , 210_2 , and 210_3 (eg, a buyer terminal).
- the transmitted reverse auction price of agricultural products and/or sales information of agricultural products including the minimum transaction unit may be displayed on the user terminals 210_1 , 210_2 , and 210_3 .
- the information processing system 230 may receive the reverse auction price and/or the purchase quantity of the agricultural product according to the minimum transaction unit from the user terminals 210_1 , 210_2 , 210_3 that have received the reverse auction price of the agricultural product.
- the information processing system 230 may perform/process the transaction of agricultural products according to the received purchase quantity.
- the information processing system 230 may transmit the reverse auction price and/or minimum transaction unit of the extracted agricultural products to the user terminals 210_1 , 210_2 , 210_3 (eg, supplier terminals). For example, the transmitted reverse auction price of agricultural products and/or purchase information of agricultural products including the minimum transaction unit may be displayed on the user terminals 210_1 , 210_2 , and 210_3 . Then, the information processing system 230 receives the desired sales quantity of agricultural products according to the reverse auction price and/or the minimum transaction unit from the user terminals 210_1, 210_2, 210_3 that have received the reverse auction price and/or the minimum transaction unit of the agricultural product. can do. In this case, the information processing system 230 may perform/process the transaction of agricultural products according to the received desired sales quantity.
- the transmitted reverse auction price of agricultural products and/or purchase information of agricultural products including the minimum transaction unit may be displayed on the user terminals 210_1 , 210_2 , and 210_3 .
- the user terminal 210 may refer to any computing device capable of executing an application related to the reverse auction price calculation service for agricultural products and capable of wired/wireless communication, for example, the mobile phone terminal 210_1 of FIG. 2 , the tablet terminal ( 210_2), a PC terminal 210_3, and the like.
- the user terminal 210 may include a buyer terminal for purchasing agricultural products, a supplier terminal for selling agricultural products, and the like.
- the user terminal 210 may include a memory 312 , a processor 314 , a communication module 316 , and an input/output interface 318 .
- the information processing system 230 may include a memory 332 , a processor 334 , a communication module 336 , and an input/output interface 338 .
- the user terminal 210 and the information processing system 230 are configured to communicate information and/or data via the network 220 using the respective communication modules 316 and 336 .
- the input/output device 320 may be configured to input information and/or data to the user terminal 210 through the input/output interface 318 or to output information and/or data generated from the user terminal 210 .
- the memories 312 and 332 may include any non-transitory computer-readable recording medium. According to one embodiment, the memories 312 and 332 are non-volatile mass storage devices such as random access memory (RAM), read only memory (ROM), disk drives, solid state drives (SSDs), flash memory, and the like. (permanent mass storage device) may be included. As another example, a non-volatile mass storage device such as a ROM, an SSD, a flash memory, a disk drive, etc. may be included in the user terminal 210 or the information processing system 230 as a separate permanent storage device distinct from the memory. In addition, the memories 312 and 332 may store an operating system and at least one program code (eg, a code for an application related to a reverse auction price calculation service for agricultural products installed and driven in the user terminal 210 ).
- program code eg, a code for an application related to a reverse auction price calculation service for agricultural products installed and driven in the user terminal 210 ).
- the separate computer-readable recording medium may include a recording medium directly connectable to the user terminal 210 and the information processing system 230, for example, a floppy drive, disk, tape, DVD/CD- It may include a computer-readable recording medium such as a ROM drive and a memory card.
- the software components may be loaded into the memories 312 and 332 through a communication module rather than a computer-readable recording medium.
- the at least one program is a computer program (eg, providing a reverse auction price calculation service for agricultural products) installed by files provided through the network 220 by the file distribution system for distributing installation files of developers or applications. application) may be loaded into the memories 312 and 332 .
- the processors 314 and 334 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. Instructions may be provided to the processor 314 , 334 by the memory 312 , 332 or the communication module 316 , 336 . For example, the processors 314 and 334 may be configured to execute received instructions according to program code stored in a recording device, such as the memories 312 and 332 .
- the communication modules 316 and 336 may provide a configuration or function for the user terminal 210 and the information processing system 230 to communicate with each other via the network 220 , and the user terminal 210 and/or information processing
- the system 230 may provide a configuration or function for communicating with another user terminal or another system (eg, a separate cloud system).
- a request or data (eg, agricultural product purchase request, purchase quantity, information related to purchase, etc.) generated by the processor 314 of the user terminal 210 according to a program code stored in a recording device such as the memory 312 . ) may be transmitted to the information processing system 230 through the network 220 under the control of the communication module 316 .
- a control signal or command provided under the control of the processor 334 of the information processing system 230 is transmitted through the communication module 336 and the network 220 through the communication module 316 of the user terminal 210 . It may be received by the user terminal 210 .
- the user terminal 210 may receive, from the information processing system 230 , the reverse auction price of agricultural products calculated through the communication module 316 , the minimum transaction unit, and the like.
- the input/output interface 318 may be a means for interfacing with the input/output device 320 .
- an input device may include a device such as a camera, keyboard, microphone, mouse, etc., including an audio sensor and/or an image sensor
- an output device may include a device such as a display, speaker, haptic feedback device, etc.
- the input/output interface 318 may be a means for an interface with a device in which a configuration or function for performing input and output, such as a touch screen, is integrated into one.
- a configuration or function for performing input and output such as a touch screen
- the input/output device 320 is not included in the user terminal 210 , but the present invention is not limited thereto, and may be configured as a single device with the user terminal 210 .
- the input/output interface 338 of the information processing system 230 is connected to the information processing system 230 or means for interfacing with a device (not shown) for input or output that the information processing system 230 may include.
- the input/output interfaces 318 and 338 are illustrated as elements configured separately from the processors 314 and 334, but the present invention is not limited thereto, and the input/output interfaces 318 and 338 may be configured to be included in the processors 314 and 334. there is.
- the user terminal 210 and the information processing system 230 may include more components than those of FIG. 3 . However, there is no need to clearly show most of the prior art components. According to an embodiment, the user terminal 210 may be implemented to include at least a portion of the above-described input/output device 320 . In addition, the user terminal 210 may further include other components such as a transceiver, a global positioning system (GPS) module, a camera, various sensors, and a database.
- GPS global positioning system
- the user terminal 210 when the user terminal 210 is a smart phone, it may include components generally included in the smart phone, for example, an acceleration sensor, a gyro sensor, a camera module, various physical buttons, and touch Various components such as a button using a panel, an input/output port, and a vibrator for vibration may be implemented to be further included in the user terminal 210 .
- the processor 314 of the user terminal 210 may be configured to operate an application or a web browser application that provides a reverse auction price calculation and/or provision service for agricultural products.
- the program code associated with the corresponding application may be loaded into the memory 312 of the user terminal 210 .
- the processor 314 of the user terminal 210 receives information and/or data provided from the input/output device 320 through the input/output interface 318 or through the communication module 316 to the information processing system ( Information and/or data may be received from 230 , and the received information and/or data may be processed and stored in the memory 312 . In addition, such information and/or data may be provided to the information processing system 230 through the communication module 316 .
- the processor 314 controls the input/output interface 318 and connected text, image, video, etc. may be received, and the received text, image, and/or image may be stored in the memory 312 or provided to the information processing system 230 through the communication module 316 and the network 220 .
- the processor 314 transmits a request for purchase of agricultural products based on the reverse auction price and/or the minimum transaction unit of agricultural products calculated through the application through the network 220 and the communication module 316 to the information processing system 230 can be provided to
- the processor 334 of the information processing system 230 may be configured to manage, process, and/or store information and/or data received from a plurality of user terminals and/or a plurality of external systems. According to an embodiment, the processor 334 collects data on the agricultural product's local auction price including the successful bid price and the auction date of the agricultural product from one or more external devices, processes the collected agricultural product's local auction data, and then reverses the agricultural product auction Daily time series data that is a basis for price calculation may be generated, and the generated daily time series data may be input to a reverse auction price calculation model for agricultural products, and the reverse auction price and/or minimum transaction unit of agricultural products may be extracted.
- the processor 334 may include a data preprocessor 410 , an interpolation unit 420 , a smoothing unit 430 , a model generator 440 , and the like.
- the processor 334 communicates with the external device 450 and may exchange information and/or data related to a reverse auction price calculation and/or provision of agricultural products.
- the processor 334 is illustrated to communicate with one external device 450 , but the present invention is not limited thereto, and the processor 334 may communicate with two or more external devices to exchange information and/or data.
- the processor 334 may receive the local auction data from the external device 450 .
- the external device 450 may refer to a system of a company in charge of auction of agricultural products.
- the processor 334 may collect the local auction data, such as by crawling the web.
- the processor 334 may collect farm data by dividing by type, grade, and standard of agricultural products, or store the collected farm auction data by dividing by type, grade, and standard of agricultural products.
- the processor 334 may process the agricultural product production area auction data to generate daily time series data that is a basis for calculating the reverse auction price of agricultural products.
- the data pre-processing unit 410 may pre-process the collected auction data. For example, the data preprocessor 410 may select data suitable for calculating the reverse auction price of agricultural products in consideration of the number stability of the data. In this case, any predetermined algorithm for selecting suitable data may be used. In another example, the data preprocessor 410 may unify the unit of the weight and auction price of the collected agricultural products. In addition, the data preprocessor 410 may change the format of the auction data in a suitable form to generate daily time series data.
- the data preprocessor 410 may calculate a price that is the basis for calculating daily time series data, such as the average of the auction price, the top 70% of the auction price, and the median price of the auction price, based on the auction price data of the production area.
- the interpolation performing unit 420 may generate time-series data for each day by using an interpolation method. Specifically, the interpolation performing unit 420 estimates the expected auction price data for the date on which the auction of agricultural products is not performed by using the interpolation method, and based on the production area auction price data and the expected auction price data of agricultural products, daily time series data can be generated. That is, the local auction price data may not include the local auction price data of the date on which the auction is not performed. can create
- the interpolation performing unit 420 may estimate the expected auction price data by performing interpolation on the basis of the farm auction price data, which includes the auction price data of agricultural products on the date on which the auction was performed. For example, in order to estimate the expected auction price data, the interpolation performing unit 420 may perform linear interpolation, spline interpolation, interpolation using a Kalman-filter, and exponentially weighted moving average. (exponentially weighted moving average) interpolation may be used, but the present invention is not limited thereto, and any interpolation method may be used.
- the smoothing performing unit 430 may generate daily time series data by smoothing the data of the local auction.
- a predetermined algorithm may be used to allow the live auction to smooth the data.
- smoothing may refer to a technique and/or method for reducing or excluding abrupt fluctuations in data.
- the smoothing performing unit 430 may use a rolling-window method, a moving average method, an exponential smoothing method, etc. to perform smoothing and then generate daily time series data. .
- the processor 334 may extract the reverse auction price of agricultural products by inputting the generated daily time series data into the agricultural product reverse auction price calculation model.
- the agricultural product reverse auction price calculation model may be generated by the model generator 440 .
- the model generating unit 440 collects a plurality of variables related to the agricultural product production area auction data, and uses the collected plurality of variables to calculate the reverse auction price of agricultural products according to the change of the plurality of variables. You can create a pricing model. That is, the processor 334 may calculate the reverse auction price of agricultural products by inputting current and/or future temperature, humidity, temperature, weather, daily time series data, etc. to the generated reverse auction price calculation model of agricultural products.
- the processor 334 may calculate a correlation score of each variable collected with the data of the agricultural product production area auction, and extract variables whose calculated correlation score is equal to or greater than a predetermined criterion. For example, the processor 334 may calculate the correlation score of each variable collected with the agricultural product production region auction data using an arbitrary algorithm predetermined to calculate the correlation score. That is, the processor 334 may extract a variable having a calculated correlation score equal to or greater than a predetermined criterion, and extract only a variable having a large influence on the auction price. Then, the processor 334 may regenerate or update the agricultural product reverse auction price calculation model for calculating the agricultural product reverse auction price according to the change of the extracted variable by using the extracted variable.
- the processor 334 calculates the correlation score of the plurality of variables for every predetermined period (eg, one day, two days, etc.), extracts a variable whose correlation score is greater than or equal to a predetermined criterion, and calculates the reverse auction price of agricultural products
- the model can be regenerated or updated. That is, the agricultural product reverse auction price calculation model may be continuously regenerated or updated every predetermined period.
- the processor 334 may generate a reverse auction price calculation model for agricultural products optimized for each agricultural product by extracting only variables having statistical significance when calculating the reverse auction price of each agricultural product.
- the agricultural product reverse auction price calculation model may be an Autogressive Distributed Lag (ARDL) model.
- the ARDL model is an autoregressive lag distribution model, taking into account variables that affect auction prices (for example, precipitation, temperature changes, soil moisture changes, weather variables such as wind, changes in auction prices, etc.) , can refer to a model that can calculate the average reverse auction price.
- Such an ARDL model can approximate any form of infinite lag distribution, and can be regenerated or updated by intermittently or continuously extracting only variables that can affect daily time series data. That is, the ARDL model may correspond to a flexible model that can utilize various variables that can increase predictive power.
- the ARDL model may be expressed as ARDL(p,q).
- p and/or q represents the number and size of past data for predicting the reverse auction price. For example, when data of the past 5 days is used, p and/or q may be determined to be 5.
- the ARDL model in the case where p and/or q is 5 may be expressed as Equation 1 below.
- the time It may be the reverse auction price that you want to predict, can represent each exogenous variable (precipitation, temperature, soil moisture, wind, change in auction price, etc.) used to predict the price.
- each exogenous variable precipitation, temperature, soil moisture, wind, change in auction price, etc.
- is an estimate of the ARDL model and may be any variable for confirming the statistical significance of each exogenous variable.
- the equation representing the ARDL model may be re-generated using only variables confirmed to have statistical significance by Equation 1 or the like described above. That is, the processor 334 may extract a statistically significant variable based on the estimation result of Equation 1, and generate a new secondary equation including only the extracted variable to predict the price.
- the statistically significant variable may refer to a variable affecting the reverse auction price and/or a variable having an influence on the auction price greater than or equal to a predetermined criterion.
- the secondary new formula includes variables with statistical significance ( ) can be expressed as Equation 2 below including only
- the processor 334 extracts a statistically significant exogenous variable through the ARDL model and predicts the auction price using only the extracted exogenous variable, thereby more accurately predicting the reverse auction price of agricultural products.
- the processor 334 may calculate the minimum transaction unit/quantity corresponding to the predicted reverse auction price.
- the processor 334 may calculate the minimum transaction unit determined based on the calculated reverse auction price.
- a joint order notification may be transmitted to the buyer terminal of the customer interested in a specific agricultural product.
- the plurality of buyer terminals may output, on the display, the agricultural product of interest, the designated price of the agricultural product, the proposed price (the calculated reverse auction price), the minimum transaction unit/quantity, etc.
- the processor 334 may receive a purchase request including the purchase quantity of agricultural products from one purchaser terminal or a plurality of purchaser terminals. As described above, when it is determined that the purchase quantity of agricultural products received according to the joint order satisfies the minimum transaction unit/amount, the processor 334 may transmit the calculated reverse auction price, etc. to one or more supplier terminals. When a sales request including a desired sales quantity is received from one or more supplier terminals, the processor 334 may conclude a transaction of agricultural products based on the reverse auction price. When a transaction according to a joint order is concluded between the supplier terminal and the buyer terminals that have offered the lowest price according to the reverse auction method, the difference between the designated price and the reverse auction successful bid price may be refunded to the users of the buyer terminal.
- the buyer receiving the calculated reverse auction price, etc. may check the reverse auction price and transmit a purchase request including the purchase quantity of agricultural products at a price higher than the calculated reverse auction price.
- the calculated reverse auction price may be the starting price of the auction
- the processor 334 may receive the purchase price and purchase quantity of agricultural products from the purchaser terminal.
- the processor 334 determines that the received purchase quantity of agricultural products satisfies the minimum transaction unit/amount, the processor 334 returns the calculated reverse auction price, the bid price by the buyer, etc. to one or more suppliers It can be transmitted to the terminal.
- the processor 334 may conclude a transaction of agricultural products in order from the buyer who offered the highest price. Additionally or alternatively, the supplier receiving the calculated reverse auction price may check the reverse auction price and transmit a sales request including the desired sales quantity of agricultural products at a price lower than the calculated reverse auction price. In this case, the processor 334 may conclude a transaction of agricultural products in order from the supplier who offered the lowest price.
- the configuration of the processor 334 has been described separately for each function in FIG. 4 , it does not necessarily mean that the processor 334 is physically separated.
- the interpolation performing unit 420 and the smoothing performing unit 430 have been separately described above, but this is only to help the understanding of the present invention, and one arithmetic unit may perform two or more functions.
- small transaction units eg, small and medium-sized restaurant companies
- the processor 334 can effectively reduce unnecessary costs required for the distribution of agricultural products by activating the transaction of agricultural products by using both characteristics of joint purchase and direct transaction.
- the daily time-series data 500 may be generated based on the agricultural product production area auction price data and the expected auction price data.
- a portion corresponding to a solid line represents received or collected local auction data (or preprocessed local auction data), and a portion corresponding to a dotted line may represent estimated auction price data estimated by interpolation. .
- the daily time series data 500 may include an auction price for each past date.
- the daily time-series data 500 may include data on the price of a mountain auction for a specific period (eg, 1 year, 2 years, etc.) from the present to the past.
- the auction price data of the farm may not include the auction price data of the day when the auction of the agricultural product is not performed.
- the processor may estimate the expected auction price data of the day on which the auction of the corresponding agricultural product is not performed by using the interpolation method.
- the processor performs linear interpolation, spline interpolation, interpolation using a Kalman-filter, and exponentially weighted moving average to estimate the expected auction price data.
- moving average may be used, but the present invention is not limited thereto, and any interpolation method may be used.
- the processor may use a combination/combination of various interpolation methods described above. With such a configuration, the processor can effectively generate the daily time series data 500 for inputting the agricultural product reverse auction price calculation model by supplementing the production area auction price data on a specific day by using the interpolation method.
- the daily time-series data 600 may be generated by smoothing the auction data of agricultural products based on a predetermined algorithm.
- a portion corresponding to a dotted line represents received or collected local auction data (or pre-processed local auction price data) and/or local auction price data and expected auction price data, and a portion corresponding to a solid line is smoothed may represent the daily time series data 600 generated by performing .
- the daily time series data 600 may include an auction price for each past date.
- the daily time-series data 600 may include data on the price of a mountain auction for a specific period (eg, one year, two years, etc.) from the present to the past.
- the processor may perform smoothing in a rolling-window manner to increase the stability of the reverse auction price.
- the processor may perform smoothing by using a rolling-window method, a moving average method, an exponential smoothing method, etc., but is not limited thereto, and any smoothing method may be used. can be used
- the processor may use a combination/combination of various smoothing techniques described above. With this configuration, the processor does not calculate the reverse auction price of agricultural products by using the data from the local auction as it is, but performs smoothing based on a predetermined algorithm, and then calculates the reverse auction price of agricultural products to ensure the stability of the reverse auction price can be effectively improved.
- FIG. 7 is a diagram illustrating an example of a user interface 710 in which a reverse auction price of agricultural products calculated according to an embodiment of the present disclosure is displayed.
- the user interface 710 may be displayed through an application related to a reverse auction price calculation and/or provision of agricultural products including agricultural products trading/selling services installed in the user terminal.
- the user interface 710 may include payment information, sale product information 712 , and the like.
- the sale product information 712 may include, for each agricultural product, the reverse auction price of the agricultural product per box and/or the reverse auction price of the agricultural product per specific weight.
- the sale product information 712 may further include reverse auction prices of agricultural products by varieties and production areas.
- a user who wants to purchase agricultural products may select an area corresponding to each agricultural product displayed on the user interface 710 by a touch input or the like, and purchase each agricultural product at the reverse auction price of the agricultural product.
- the user may input the purchase quantity of agricultural products and purchase the desired quantity of agricultural products at the suggested reverse auction price of the agricultural products.
- the sale product information 712 may include the predicted reverse auction price of the agricultural product in the future (eg, the next day).
- a user can directly purchase agricultural products in a desired quantity from a supplier (eg, a producer) at a reasonable price suggested by the system.
- FIG. 8 is a diagram illustrating an example of a user interface 810 for inputting detailed information for purchasing agricultural products according to an embodiment of the present disclosure.
- the user interface 810 may be displayed through an application related to a reverse auction price calculation and/or provision of agricultural products including agricultural products trading/sales services installed in the user terminal.
- the user interface 810 may be displayed when the user selects one agricultural product through a touch input or the like.
- the user can purchase the desired quantity of agricultural products at the suggested reverse auction price by inputting the purchase quantity of agricultural products.
- the reverse auction price of agricultural products and the total amount according to the purchase quantity may be displayed on the user interface 810 .
- the user may purchase a specific agricultural product at the reverse auction price of the presented agricultural product by paying the total amount and inputting detailed information.
- information according to the purchase request may be transmitted to one or more provider terminals associated with a reverse auction price calculation service for agricultural products. Then, a sale request may be received from a supplier terminal that wishes to sell agricultural products at the reverse auction price included in the corresponding purchase request. In this case, a transaction may be established between the buyer who has transmitted the purchase request and the supplier who has transmitted the sale request.
- the processor may transmit the extracted reverse auction price of agricultural products to one or more supplier terminals associated with the reverse auction price calculation service for agricultural products. Then, the processor may receive the desired sales quantity of agricultural products according to the reverse auction price from the supplier terminal that has received the reverse auction price of the agricultural products. That is, before providing the reverse auction price to the buyer, the processor may secure the quantity of agricultural products to be sold at the reverse auction price in advance. Thereafter, the processor may transmit the reverse auction price of the agricultural product to the purchaser terminal and receive a purchase request from the purchaser terminal.
- the artificial neural network 900 may refer to a statistical learning algorithm implemented based on the structure of a biological neural network or a structure for executing the algorithm in machine learning technology and cognitive science. That is, in the artificial neural network 900 , as in the biological neural network, nodes, which are artificial neurons that form a network by combining synapses, repeatedly adjust the weights of synapses, so that the correct output corresponding to a specific input and the inferred output It represents a machine learning model with problem-solving ability by learning to reduce the error between them.
- the artificial neural network 900 is implemented as a multilayer perceptron (MLP) consisting of multilayer nodes and connections between them.
- MLP multilayer perceptron
- the artificial neural network 900 according to the present embodiment may be implemented using one of various artificial neural network structures including MLP.
- the artificial neural network 900 is located between an input layer that receives an input signal or data from the outside, an output layer that outputs an output signal or data corresponding to the input data, and an input layer and an output layer, and receives a signal from the input layer to extract characteristics. It consists of n hidden layers that pass to the output layer.
- the output layer receives a signal from the hidden layer and outputs it to the outside.
- the learning method of the artificial neural network 900 includes a supervised learning method that learns to be optimized to solve a problem by input of a teacher signal (correct answer), and an unsupervised learning method that does not require a teacher signal ( There is an unsupervised learning method.
- an artificial neural network 900 for extracting the reverse auction price of agricultural products can learn The artificial neural network 900 learned in this way may extract the reverse auction price of agricultural products using data on the auction price of agricultural products and the like.
- the input variable of the artificial neural network 900 may be a vector in which the local auction data is composed of one vector data element.
- the output variable output from the output layer of the artificial neural network 900 may be a vector representing the reverse auction price of agricultural products.
- input variables and/or output variables of the artificial neural network 900 may not be limited to the types described above.
- the at least one processor may output the reverse auction price of agricultural products by inputting the farm auction data to the artificial neural network 900 . Additionally or alternatively, the processor may output the reverse auction price of agricultural products by inputting the generated daily time series data to the artificial neural network 900 after generating daily time series data using the data from the local auction.
- the artificial neural network 900 may comprehensively analyze the input data and variables such as current weather, temperature, humidity, and temperature, and output an optimal reverse auction price for agricultural products.
- the reverse auction price of agricultural products printed in this way may be provided to the buyer and/or the supplier.
- the processor transmits the output reverse auction price of agricultural products to the buyer terminal and/or the supplier terminal, receives a purchase request including a purchase quantity from the buyer terminal, or receives a sale request including a desired sale quantity from the supplier terminal can do.
- the processor may process the transaction of agricultural products at the output reverse auction price.
- the method 1000 for calculating the reverse auction price of agricultural products may be performed by at least one processor (eg, at least one processor of the information processing system).
- the method 1000 for calculating the reverse auction price of agricultural products may be started by the processor collecting data on the auction price of agricultural products including the successful bid price and auction date of the agricultural products from one or more external devices ( S1010 ).
- the external device may refer to a system of a company that performs/processes an auction of agricultural products.
- the processor may use web crawling, or the like, to collect farmland auction data of agricultural products.
- the processor may process the collected farm product auction data to generate daily time series data that is a basis for calculating the reverse auction price of agricultural products (S1020). For example, the processor may process the data of the local auction by extracting only useful data from the data of the local auction, unifying the auction unit, using an interpolation method, performing smoothing, and the like. By using the processed data on the auction price in the production area, the processor may generate daily time series data indicating the auction prices at which auctions were actually performed in the past by date.
- the processor may extract the reverse auction price of agricultural products by inputting the daily time series data into the agricultural product reverse auction price calculation model (S1030).
- the processor collects a plurality of variables associated with the agricultural product production area auction data, and uses the collected plurality of variables to calculate the reverse auction price of agricultural products for calculating the reverse auction price of agricultural products according to the change of the plurality of variables You can create a model.
- the processor may calculate a correlation score of each variable collected with the farm auction data of agricultural products, and extract variables having a calculated correlation score equal to or greater than a predetermined criterion. Using the extracted variables, the processor may regenerate a reverse auction price calculation model for agricultural products for calculating the reverse auction prices of agricultural products according to changes in the extracted variables.
- the processor may calculate the reverse auction price of agricultural products by using the artificial neural network trained to output the reverse auction price of agricultural products.
- the buyer terminal 1110 may be a terminal of a buyer in which an agricultural product transaction application, etc. is installed
- the supplier terminal 1130 may be a terminal of a seller in which an agricultural product transaction application or the like is installed.
- the information processing system 1120 may refer to a system for calculating and providing a reverse auction price of agricultural products.
- the information processing system 1120 may extract the reverse auction price of agricultural products ( 1122 ).
- the information processing system 1120 collects data on auction prices of agricultural products including the successful bid price and auction date of agricultural products from one or more external devices, processes the data on the auction prices of agricultural products collected, and reverse auction of agricultural products. It is possible to generate daily time series data that is the basis for price calculation. Then, the information processing system 1120 may extract the reverse auction price of agricultural products by inputting the generated daily time series data into the agricultural product reverse auction price calculation model.
- the information processing system 1120 may transmit the extracted reverse auction price 1124 to the purchaser terminal 1110 .
- the information processing system 1120 may calculate a minimum purchase unit/amount, etc. corresponding to the extracted reverse auction price, and transmit the calculated minimum purchase unit/amount, etc. to the purchaser terminal 1110 .
- the buyer terminal 1110 outputs the received reverse auction price 1124, etc. on the display, and the desired purchase price of agricultural products from the buyer through the display (for example, the bid price according to the reverse auction price of agricultural products, A purchase request including a specified price, etc.), a purchase quantity, and the like may be received.
- the information processing system 1120 transmits a joint order notification to the purchaser terminal 1110 of a customer interested in a specific agricultural product in order to proceed with the joint order for matching the minimum transaction unit determined based on the calculated reverse auction price.
- the plurality of purchaser terminals 1110 display an agricultural product of interest, a designated price of the agricultural product, a suggested price (calculated reverse auction price), a minimum transaction unit/amount, and the like on the display. can be printed on Then, the information processing system 1120 may receive a purchase request including the purchase quantity of agricultural products from the plurality of purchaser terminals 1110 .
- the purchaser terminal 1110 may transmit a purchase request 1112 including a desired purchase price of agricultural products, a purchase quantity, and the like to the information processing system 1120 .
- the information processing system 1120 receiving the purchase request 1112 may determine whether the purchase quantity included in the purchase request 1112 is equal to or greater than the calculated minimum purchase unit/amount ( 1126 ). .
- the information processing system 1120 may transmit the calculated reverse auction price 1128 and the like to the provider terminal 1130 .
- the information processing system 1120 may receive, from the supplier terminal 1130 , a sale request 1132 including a desired sale price of agricultural products and a desired sale quantity.
- the desired sale price may be a price lower than the reverse auction price of agricultural products calculated by the price suggested by the supplier of the supplier terminal 1130 .
- the information processing system 1120 may conclude a transaction of agricultural products based on the received purchase request 1112 and sale request 1132 ( 1140 ). For example, the information processing system 1120 may conclude a trade of agricultural products based on the reverse auction price of the provided agricultural products, but is not limited thereto. In another example, the information processing system 1120 may conclude a transaction of agricultural products based on the reverse auction price of the provided agricultural products or a price higher or lower than a specified price (a price bid by a buyer, a price bid by a supplier, etc.). In this way, when the transaction is concluded, the information processing system 1120 may transmit information on the final transaction price, transaction quantity, delivery address, etc. to the purchaser terminal 1110 and/or the provider terminal 1130 . In addition, when a transaction between the supplier terminal 1130 and the buyer terminals 1110, which offered the lowest price, is concluded, the difference excluding the reverse auction successful bid price from the designated price may be refunded to the users of the buyer terminal 1110 .
- one purchaser terminal 1110 and one supplier terminal 1130 are shown to exist, but the present invention is not limited thereto.
- a plurality of purchaser terminals 1110 and/or a plurality of provider terminals may exist.
- the agricultural product transaction may be performed in the form of a joint purchase and/or a common sale between a plurality of buyers and/or a plurality of suppliers.
- the reverse auction price 1128 is transmitted to the supplier terminal 1130 after the reverse auction price 1124 is transmitted to the buyer terminal 1110, but is not limited thereto, and the reverse auction price is the buyer terminal ( 1110) and the supplier terminal 1130, or may be transmitted first to the supplier terminal 1130.
- the above-described method for calculating the reverse auction price of agricultural products may be provided as a computer program stored in a computer-readable recording medium for execution on a computer.
- the medium may be to continuously store a computer executable program, or to temporarily store it for execution or download.
- the medium may be various recording means or storage means in the form of a single or several hardware combined, it is not limited to a medium directly connected to any computer system, and may exist distributed on a network. Examples of the medium include a hard disk, a magnetic medium such as a floppy disk and a magnetic tape, an optical recording medium such as CD-ROM and DVD, a magneto-optical medium such as a floppy disk, and those configured to store program instructions, including ROM, RAM, flash memory, and the like.
- examples of other media may include recording media or storage media managed by an app store that distributes applications, sites that supply or distribute various other software, and servers.
- the processing units used to perform the techniques include one or more ASICs, DSPs, digital signal processing devices (DSPDs), programmable logic devices (PLDs). ), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, electronic devices, and other electronic units designed to perform the functions described in this disclosure. , a computer, or a combination thereof.
- a general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine.
- a processor may also be implemented as a combination of computing devices, eg, a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other configuration.
- the techniques may include random access memory (RAM), read-only memory (ROM), non-volatile random access memory (NVRAM), PROM (on computer readable media such as programmable read-only memory), erasable programmable read-only memory (EPROM), electrically erasable PROM (EEPROM), flash memory, compact disc (CD), magnetic or optical data storage devices, etc. It may be implemented as stored instructions. The instructions may be executable by one or more processors, and may cause the processor(s) to perform certain aspects of the functionality described in this disclosure.
- aspects of the subject matter in this disclosure may be implemented in a plurality of processing chips or devices, and storage may be similarly affected across the plurality of devices.
- Such devices may include PCs, network servers, and portable devices.
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Abstract
Description
Claims (10)
- 적어도 하나의 프로세서에 의해 수행되는, 농산물 역경매 가격 산출 방법으로서,하나 이상의 외부 장치로부터 농산물의 낙찰 가격 및 경매 일자를 포함하는 농산물의 산지 경매가 데이터를 수집하는 단계;상기 수집된 농산물의 산지 경매가 데이터를 가공하여, 상기 농산물 역경매 가격 산출의 기초가 되는 일별 시계열 데이터를 생성하는 단계; 및상기 생성된 일별 시계열 데이터를, 농산물 역경매 가격 산출 모델에 입력하여, 상기 농산물의 역경매 가격을 추출하는 단계를 포함하는, 농산물 역경매 가격 산출 방법.
- 제1항에 있어서,상기 수집된 농산물의 산지 경매가 데이터를 가공하여, 상기 농산물 역경매 가격 산출의 기초가 되는 일별 시계열 데이터를 생성하는 단계는,보간법(interpolation)을 이용하여, 상기 농산물의 경매가 수행되지 않은 일자에 대한 예상 경매가 데이터를 추정하는 단계; 및상기 농산물의 산지 경매가 데이터 및 상기 예상 경매가 데이터를 기초로, 상기 일별 시계열 데이터를 생성하는 단계를 포함하는, 농산물 역경매 가격 산출 방법.
- 제1항에 있어서,상기 수집된 농산물의 산지 경매가 데이터를 가공하여, 상기 농산물 역경매 가격 산출의 기초가 되는 일별 시계열 데이터를 생성하는 단계는,미리 결정된 알고리즘을 기초로 상기 농산물의 산지 경매가 데이터를 평활화(smoothing)하여, 상기 일별 시계열 데이터를 생성하는 단계를 포함하는, 농산물 역경매 가격 산출 방법.
- 제1항에 있어서,상기 농산물의 산지 경매가 데이터와 연관된 복수의 변수를 수집하는 단계; 및상기 수집된 복수의 변수를 이용하여, 상기 복수의 변수의 변화에 따른 농산물 역경매 가격을 산출하기 위한 상기 농산물 역경매 가격 산출 모델을 생성하는 단계를 더 포함하는, 농산물 역경매 가격 산출 방법.
- 제4항에 있어서,상기 농산물의 산지 경매가 데이터와 상기 수집된 각각의 변수의 연관성 점수를 산출하는 단계;상기 산출된 연관성 점수가 미리 결정된 기준 이상인 변수를 추출하는 단계; 및상기 추출된 변수를 이용하여, 상기 추출된 변수에 변화에 따른 농산물 역경매 가격을 산출하기 위한 상기 농산물 역경매 가격 산출 모델을 재생성하는 단계를 더 포함하는, 농산물 역경매 가격 산출 방법.
- 제4항에 있어서,상기 농산물 역경매 가격 산출 모델은 ARDL(Autogressive Distributed Lag) 모델인, 농산물 역경매 가격 산출 방법.
- 제1항에 있어서,하나 이상의 구매자 단말로 상기 추출된 농산물의 역경매 가격을 전송하는 단계; 및상기 농산물의 역경매 가격을 수신한 하나 이상의 구매자 단말로부터 상기 역경매 가격에 따른 상기 농산물의 구매 수량을 수신하는 단계를 더 포함하는, 농산물 역경매 가격 산출 방법.
- 제1항에 있어서,하나 이상의 공급자 단말로 상기 추출된 농산물의 역경매 가격을 전송하는 단계; 및상기 농산물의 역경매 가격을 수신한 하나 이상의 공급자 단말로부터 상기 역경매 가격에 따른 상기 농산물의 판매 희망 수량을 수신하는 단계를 더 포함하는, 농산물 역경매 가격 산출 방법.
- 제1항 내지 제8항 중 어느 한 항에 따른 농산물 역경매 가격 산출 방법을 컴퓨터에서 실행하기 위해 컴퓨터 판독 가능한 기록 매체에 저장된 컴퓨터 프로그램.
- 정보 처리 시스템으로서,통신 모듈;메모리; 및상기 메모리와 연결되고, 상기 메모리에 포함된 컴퓨터 판독 가능한 적어도 하나의 프로그램을 실행하도록 구성된 적어도 하나의 프로세서를 포함하고,상기 적어도 하나의 프로세서는,하나 이상의 외부 장치로부터 농산물의 낙찰 가격 및 경매 일자를 포함하는 농산물의 산지 경매가 데이터를 수집하고,상기 수집된 농산물의 산지 경매가 데이터를 가공하여, 농산물 역경매 가격 산출의 기초가 되는 일별 시계열 데이터를 생성하고,상기 생성된 일별 시계열 데이터를, 농산물 역경매 가격 산출 모델에 입력하여, 상기 농산물의 역경매 가격을 추출하기 위한 명령어들을 포함하는, 정보 처리 시스템.
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