KR20200064023A - System and method for calculating Expected standard price of crop cultivation - Google Patents

Abstract

Provided are a system and a method for calculating an expected shipment price of crops. The system for calculating an expected shipment price of crops comprises: an interface unit which receives a cultivation region, a cultivation area, cultivated crops and cultivation time through a user terminal; a communication unit which receives weather information for a specific period from a weather information providing server, and receives information on purchase or auction prices for the corresponding crop from a crop information providing server; and a standard price calculation unit which calculates a standard price based on information on a weather matching rate and the cultivated area for a specific crop.

Description

System and method for calculating Expected standard price of crop cultivation}

The present invention relates to a system and method for calculating the expected price of shipment of agricultural products, and to a system and method for calculating a standard market price expected for shipment of agricultural products.

In recent years, the interest in crop cultivation has increased as the number of people not only returning to farming and returning homes, but also to farming.

In addition, the number of young people entering the countryside is increasing, and the population of agricultural workers is increasing due to the spread of smart farms through the combination of IT technology and farms.

People who are just engaged in agriculture want to gain information about growing crops by sharing information and data related to crops and cultivation with each other.However, the crop cultivation method is only a standard cultivation method of public institutions such as the Agricultural Technology Center. . In addition, more detailed and detailed information on “crop” cultivation is not easy to access unless it is through a person who has actually experienced “crop” cultivation.

On the other hand, although there is a standard cultivation method for crop cultivation provided by public institutions, the standard cultivation method is also a cultivation method created by accumulating data such as the existing growth environment or detailed conditions such as climate, region, and weather for a long time. There is a problem that may vary slightly depending on. For example, cabbage grown in Daegwallyeong and cabbage grown in Chungcheong-do have different climates, weather, and soil conditions, so it is difficult to expect optimal cultivation using only standard cultivation methods.

In addition, people who are just starting to grow crops have a problem with selecting crops because it is not known which crops can be expected to have the highest profit in the region.

This acts as a fundamental barrier to the growth of the agricultural population by acting as a large barrier to entry for those who want to start growing crops.

An object of the present invention is to provide a system and method for calculating the expected price of shipment of a crop that can determine the profitability for crop cultivation in advance by calculating the standard market price expected for shipment of the crop.

The objects of the present invention are not limited to the above-mentioned objects, and other objects and advantages of the present invention not mentioned can be understood by the following description, and will be more clearly understood by embodiments of the present invention. In addition, it will be readily appreciated that the objects and advantages of the present invention can be realized by means of the appended claims and combinations thereof.

In order to achieve the above object, the system for calculating the estimated price of shipment of agricultural crops according to an embodiment of the present invention includes an interface unit that receives a cultivation area, a cultivation area, a cultivated crop, and a cultivation time through a user terminal, and a weather information providing server The communication unit receives weather information for a specific period and receives information on the purchase price or auction price of the corresponding crop from the server for providing crop information, and the standard price based on the information on the weather matching rate and cultivation area for the specific crop. Includes a standard quote calculation unit to calculate.

In addition, the standard price calculation unit calculates a weather matching rate in consideration of the weather information corresponding to the cultivation area and the cultivation time of the cultivated crop, and based on the cultivation area and the weather matching rate And calculating the expected yield.

In addition, the standard price calculation unit calculates a relationship between the yield and the crop price based on data on the past yield and the past price of the cultivated crop, and based on the calculated relationship, the estimated yield of the cultivated crop It may include calculating the standard price according to.

Further, calculating the weather matching rate may include calculating similarity between the optimum weather information for the cultivated crop and the weather information received from the weather information providing server.

In addition, the standard price calculation unit calculates a first score based on a matching rate between the optimum weather information of the cultivated crop and the weather information, and a second score based on a difference between the cultivated area and a predetermined reference area. And calculating the standard price based on the reference price of the cultivated crop and the first and second scores.

In addition, the reference price is an average value of past prices for shipment of the cultivated crop, and the shipment may be calculated based on the cultivation time of the cultivated crop and a pre-stored growth period.

In addition, the standard price calculation unit calculates a third score based on the ratio between the cultivated area and the total cultivated area of the cultivated crop, and the standard based on the reference price of the cultivated crop and the first to third scores. May include calculating a quote.

Also, the standard price calculator may assign different weights to the first to third scores, and the weights may be set by a machine learning module using a neural network.

The method for calculating the estimated price for shipping a crop according to an embodiment of the present invention includes receiving data on a cultivated area, a cultivated area, a cultivated crop, and a cultivation period through a user terminal, based on the inputted cultivation crop and the cultivation period Computing the shipment, calculating the weather data received from the weather information providing server, and the estimated yield for the cultivated crop based on the cultivation area and the cultivation area, received from the crop information providing server Comprising the step of calculating the relationship between the yield and crop prices based on the data on the past yield and the past price of the cultivated crop, and calculating the standard price according to the expected yield of the cultivated crop based on the calculated relationship do.

According to another embodiment of the present invention, the method for calculating the estimated price for shipping a crop includes receiving data on a cultivated area, a cultivated area, a cultivated crop, and a cultivation time through a user terminal, optimal weather information and the weather information of the cultivated crop Calculating a first score based on a matching rate between, calculating a second score based on a difference between the cultivation area and a predetermined reference area, and calculating the ratio between the cultivation area and the total cultivation area of the cultivation And calculating a third score based on the basis, and calculating the standard price based on the reference price of the cultivated crop and the first to third scores.

According to the system and method for calculating the estimated price of shipment of crops of the present invention as described above, by calculating the standard market price expected for shipment of crops, it is possible to judge profitability for crop cultivation in advance, thereby improving the profitability of agricultural workers. Can be.

In addition, the present invention can increase the investment in agriculture by predicting the expected return for crop cultivation in advance, and can contribute to the activation of the agricultural market.

In addition to the above, the concrete effects of the present invention will be described with reference to specific details for carrying out the invention.

1 is a block diagram showing a system for calculating an estimated price for shipping crops according to some embodiments of the present invention.
FIG. 2 is a block diagram showing the components of the server for estimating the expected shipment price of agricultural products of FIG. 1.
FIG. 3 is a block diagram showing data input/output from the server for estimating the estimated price for shipment of agricultural products in FIG.
Figure 4 is a flow chart showing a method for calculating the estimated price of shipping crops according to an embodiment of the present invention.
5 is a flow chart showing a method for calculating the estimated price of shipping crops according to another embodiment of the present invention.
6 is a graph showing an example of the relationship diagram calculated in FIG. 5.

The above-described objects, features, and advantages will be described in detail below with reference to the accompanying drawings, and accordingly, a person skilled in the art to which the present invention pertains can easily implement the technical spirit of the present invention. In the description of the present invention, when it is determined that detailed descriptions of known technologies related to the present invention may unnecessarily obscure the subject matter of the present invention, detailed descriptions will be omitted. Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings are used to indicate the same or similar components.

Hereinafter, a system and method for calculating an estimated price for shipping crops according to an embodiment of the present invention will be described in detail with reference to the drawings.

1 is a block diagram showing a system for calculating an estimated price for shipping crops according to some embodiments of the present invention. FIG. 2 is a block diagram showing the components of the server for estimating the expected shipment price of agricultural products of FIG. 1.

Referring to FIG. 1, the system for calculating the estimated price for shipment of agricultural products according to some embodiments of the present invention includes a server for calculating the estimated price for shipment of agricultural products 100, a user terminal 200, a weather information providing server 300, and a crop information providing server 400 and a communication network 500 connecting them.

Estimated price of agricultural crops shipment server 100 (hereinafter, crop price calculation server 100) calculates a standard market price expected for shipment of a specific crop.

In this specification, the standard price is to be described with the same concept as the expected price of shipment of a specific crop. Hereinafter, for unification of terms, the expected price of shipment will be described as a standard price.

The crop price calculation server 100 may receive input data including a user's name, a crop cultivation area, a crop cultivation area, a crop, and a cultivation time through the user terminal 200. However, this is only an example, and some of the input data may be omitted and implemented.

Based on the input data, the crop price calculation server 100 may output output data including a standard market price (ie, expected shipping price) of the cultivated crop.

The crop price calculation server 100 may output the standard time of shipment for the cultivated crop input by the user by using the data received from the weather information providing server 300 and the crop information providing server 400. At this time, the crop price calculation server 100 may use the weather information received from the weather information providing server 300 and the purchase price (or auction price) of the crop received from the crop information providing server 400.

Specifically, referring to FIG. 2, the crop price calculation server 100 may include an interface unit 110, a communication unit 120, and a standard price calculation unit 130.

The interface unit 110 receives the cultivation area, cultivation area, cultivation crop, and cultivation time of the crops through the user terminal 200.

The communication unit 120 may receive weather information for a specific period from the weather information providing server 300 and receive information regarding a purchase price or auction price from the crop information providing server 400.

The standard price calculation unit 130 may calculate the standard price based on the information on the weather matching rate and the cultivated area for a specific crop. This will be described later in detail.

In addition, in another embodiment of the present invention, the standard price calculation unit 130 calculates an expected yield of cultivated crops based on the cultivation area input through the user terminal 200 and the weather matching rate of the cultivation area. In addition, the standard price calculation unit 130 calculates a relationship diagram between the yield and the crop price based on the past price data and the data on the past yield received from the crop information providing server 400. Subsequently, the standard quote calculation unit 130 may calculate the standard quote according to the expected yield based on the calculated relationship diagram. Likewise, a detailed description thereof will be described later.

The user terminal 200 receives input data including a user's name, a cultivation area of a crop, a cultivation area, a cultivation crop, and a cultivation time from the user and transmits the input data to the crop price calculation server 100.

Here, the user terminal 200 refers to a communication terminal capable of using a web service in a wired/wireless communication environment. Here, the user terminal 200 may be a user's personal computer or a user's portable terminal. In FIG. 1, the user terminal 200 is shown as a smart phone, but the spirit of the present invention is not limited thereto, and a terminal equipped with an application capable of web browsing as described above may be borrowed without limitation.

Meanwhile, the user terminal 200 includes a display unit that displays a screen and an input device that receives data from a user. The input device may include, for example, a keyboard, mouse, trackball, microphone, button, touch panel, camera, motion sensor, etc., but is not limited thereto.

The weather information providing server 300 may provide weather information to the crop price calculation server 100. For example, the weather information providing server 300 may provide weather information for each region and each season to the crop price calculation server 100.

In addition, the weather information providing server 300 may also provide past weather information to the crop price calculation server 100. For example, the weather information providing server 300 may provide time-series weather information for each region in the past three years to the crop price calculation server 100.

The weather information providing server 300 may be a server of the Korea Meteorological Administration or a server accessible to a database of each weather station. However, this is only one example, and the present invention is not limited thereto.

The crop information providing server 400 may store information about the price and yield of the crop, and provide information related to the requested crop to the crop price calculation server 100.

Here, the price of the crop means the purchase price or auction price of the agricultural cooperative. In addition, the crop information providing server 400 may provide information on the purchase price and auction price of the past crop, and the yield.

The crop price calculation server 100 may process data received from the crop information providing server 400 and use it to calculate the above-mentioned standard price.

The communication network 500 may connect the crop price calculation server 100, the user terminal 200, the weather information providing server 300, and the crop information providing server 400. For example, the communication network 500 provides a connection path for the user terminals 200 and 300 to transmit and receive packet data after accessing the server 100 and/or the payment means server 400. The communication network 500 includes, for example, wired networks such as Local Area Networks (LANs), Wide Area Networks (WANs), Metropolitan Area Networks (MANs), and Integrated Service Digital Networks (ISDNs), wireless LANs, CDMA, Bluetooth, satellite communication, 3G, 4G, 5G, etc. may be covered, but the scope of the present invention is not limited thereto.

Hereinafter, the standard price calculation method of the crop price calculation server 100 will be described in detail.

FIG. 3 is a block diagram showing data input/output from the server for estimating the expected shipment price of the crop of FIG. 1 (that is, the server for calculating the crop price).

Referring to FIG. 3, the crop price calculation server 100 receives a user's name, a crop cultivation area, a crop cultivation area, a cultivation crop, and a cultivation time from the user terminal 200. In addition, the crop price calculation server 100 receives weather at a specific time, price and yield for each crop from the weather information providing server 300 and the crop information providing server 400.

The crop price calculation server 100 may calculate the standard market price of the cultivated crop based on the received data. The calculated standard price of the cultivated crop may be transmitted to the user terminal 200.

The user's'name' received through the user terminal 200 may be used to search for a user account managed by the crop price calculation server 100.

The crop price calculation server 100 may store and manage input data input by the user in the user account corresponding to the user name, and output data calculated based on the input data.

History of input data input by the user and output data corresponding thereto is stored in a user account. Later, the user who is logged in to the user account can search and query the history. The crop price calculation server 100 may include a database for managing user accounts.

Additionally, in another embodiment of the present invention, input of a user name may be omitted and implemented.

The'cultivation area' and'cultivation time' entered by the user are used to derive weather information for the area. The crop price calculation server 100 receives weather information corresponding to the'cultivation time' of the input'cultivation area' from the weather information providing server 300.

For reference, the input of the'cultivation time' may be omitted. If the input of the'cultivation time' is omitted, the crop price calculation server 100 may automatically receive the weather information by automatically setting the current date as the'cultivation time'.

Figure 4 is a flow chart showing a method for calculating the estimated price of shipping crops according to an embodiment of the present invention.

Referring to Figure 4, in the method for calculating the estimated price of shipping crops according to an embodiment of the present invention, the crop price calculation server 100 is the weather information received from the weather information providing server 300, and the optimum of the input crops The matching rate between the weather information is calculated (S110).

Here, the optimum weather information includes time-series weather patterns in which the crop can best grow. Optimal weather information may include each pattern for factors such as temperature, air volume, humidity, precipitation, and sunshine.

At this time, the crop price calculation server 100 calculates the matching rate between the time-series pattern for the received weather information and the time-series pattern for the optimum weather information of the input crop. Subsequently, the crop price calculation server 100 gives a first score for the cultivated crop according to the calculated matching rate.

In general, when the weather matching rate is high, the yield of the cultivated crop is increased, so the standard price of the cultivated crop is reduced. Accordingly, the crop price calculation server 100 sets a relatively high first score when the weather matching rate is low, and sets a relatively low first score when the weather matching rate is high.

For example, the first score for the weather matching rate has a default value. Subsequently, when the matching rate of the cultivated crop is lower than the reference matching rate, the first score equal to the difference between the matching rate of the cultivated crop and the reference matching rate may be increased. Conversely, when the matching rate of the cultivated crop is higher than the reference matching rate, the first score corresponding to the difference between the matching rate of the cultivated crop and the reference matching rate may be reduced.

Subsequently, the'cultivation area' input by the user may be used to determine the standard price of the crop input by the user. If the'cultivation area' entered by the user is relatively wide, the standard price of the cultivated crop may be reduced, and when the'cultivation area' entered by the user is relatively small, the'cultivation area' is the standard price of the cultivated crop. The impact may be minimal.

The crop price calculation server 100 gives a second score for the cultivated crop according to the size of the'cultivation area' (S120).

For example, the second score for'cultivation area' has a default value. Then, when the area of the cultivated crop is larger than the reference area, the second score equal to the difference between the area of the cultivated crop and the reference area may be reduced. Conversely, if the area of the cultivated crop is smaller than the reference area, the second score may be maintained or increased.

Subsequently, the crop price calculation server 100 may calculate the standard price using the following [Equation 1] based on the calculated first and second scores.

[Equation 1]

Standard price = base price + (K1 * 1st score) + (K2 * 2nd score)

Here, the reference price may be the average value of past prices for shipment of cultivated crops. However, this is only an example, and the reference price may be implemented by being modified differently for each embodiment. In addition, K1 represents the weight for the weather matching rate, and K2 represents the weight for the cultivation area.

Subsequently, the crop price calculation server 100 provides the calculated standard price to the user terminal 200 (S140).

Additionally, in another embodiment of the present invention, the crop price calculation server 100 calculates a third score based on the ratio between the input cultivation area and the total cultivation area of the cultivation plant (S130). At this time, the'cultivation area' input by the user is compared with the national cultivation area of the crop, and can be used to derive the crop growth ratio of the user.

When the derived crop cultivation ratio is greater than the reference ratio, the crop price calculation server 100 may reduce the standard price of the cultivated crop. Conversely, when the derived crop cultivation ratio is smaller than the reference ratio, the crop price calculation server 100 may maintain or increase the standard price of the cultivated crop.

For example, the third score for crop cultivation percentage has a default value. Subsequently, when the crop cultivation ratio is greater than the reference ratio, the third score corresponding to the difference between the crop cultivation ratio and the reference ratio of the cultivated crop may be reduced. Conversely, when the crop cultivation ratio of the cultivated crop is smaller than the reference ratio, the third score may be maintained or increased.

The crop price calculation server 100 may receive a price (purchase price or auction price) for the cultivated crop from the crop information providing server 400.

Subsequently, the crop price calculation server 100 may calculate the standard price using the following [Equation 2] based on the calculated first to third scores.

[Equation 2]

Standard price = base price + (K1 * 1st score) + (K2 * 2nd score) + (K3 * 3rd score)

Here, the reference price may be the average value of past prices for shipment of cultivated crops. However, this is only an example, and the reference price may be implemented by being modified differently for each embodiment. In addition, K1 represents the weight for the weather matching rate, K2 represents the weight for the cultivation area, and K3 represents the weight for the crop cultivation ratio.

The crop price calculation server 100 may calculate a reference price of the cultivated crop based on the price of the past cultivated crop.

For example, if the shipment is October 2018, based on the average price of the cultivated crop in October 2017, the average price of the cultivated crop in October 2016, and the average price of the cultivated crop in October 2015. , You can calculate the base price.

Subsequently, the crop price calculation server 100 may calculate the standard price using the first score related to the reference price and weather matching rate, the second score related to the cultivation area, and the third score for the crop cultivation rate. have.

In addition, the crop price calculation server 100 may assign weights K1, k2, and K3 to the first to third scores, respectively. At this time, the weights K1, k2, and K3 given to each score may be set differently.

For example, the first weight K1 applied to the first score for the weather matching rate may be set larger than the weight applied to other scores, and the second weight applied to the second score for the cultivation area ( K2) may be set smaller than other weights.

Each weight can be determined by performing a number of simulations on the crop price calculation server 100 to recommend a more accurate standard price.

Additionally, although not explicitly shown in the drawings, the crop price calculation server 100 may calculate respective weights for the first to third scores using machine learning.

For example, the crop price calculation server 100 may learn the machine learning module by inputting the first to third scores to the input of the machine learning module and inputting the standard quote determined to the output of the machine learning module. . However, this is only one example for selecting the optimal weight by learning the machine learning module, and each parameter applied to the machine learning module may be implemented in various modifications.

In addition, the machine learning module may have a multi-layered neural network structure, and a machine learning structure of various disclosed structures may be employed. For example, deep learning modules such as CNN, DNN, RNN, and GNN may be used as the machine learning module. However, this is only an example, and various machine learning modules may be employed in the present invention.

Subsequently, the crop price calculation server 100 provides the calculated standard price to the user terminal 200 (S140).

In addition, the crop price calculation server 100 may provide the user terminal 200 with a cultivation method for the input crop.

Here, the cultivation method may include cultivation know-how, a method of coping with pests, a method of coping with weather anomalies, a method of spraying chemicals according to periods, and the like. The crop price calculation server 100 may search for a cultivation method for each crop on the web or extract it from the organized database and provide it to the user terminal 200.

5 is a flowchart illustrating a method for calculating an estimated price for shipment of agricultural crops according to another embodiment of the present invention. 6 is a graph showing an example of the relationship diagram calculated in FIG. 5.

Referring to Figures 5 and 6, in the method for calculating the estimated price of shipping crops according to another embodiment of the present invention, the crop price calculation server 100 is first cultivated area, cultivation area, cultivated crops and It receives data about the cultivation time.

Subsequently, the crop price calculation server 100 calculates the shipment based on the input cultivation crop and the cultivation time (S210).

Subsequently, the crop price calculation server 100 calculates the estimated yield for the cultivated crop based on the data on the weather, the cultivated region, and the cultivated area (S220).

Specifically, the crop price calculation server 100 receives weather information from the weather information providing server 300. At this time, the crop price calculation server 100 receives weather information of the corresponding region from the weather information providing server 300 based on the input'cultivation area' and'cultivation time'.

Subsequently, the crop price calculation server 100 calculates a matching rate between the weather information received from the weather information providing server 300 and the optimum weather information of the input crop.

Subsequently, the crop price calculation server 100 calculates a matching rate between the time-series pattern for the received weather information and the time-series pattern for the optimum weather information of the input crop. Subsequently, the crop price calculation server 100 assigns a score for the cultivated crop according to the calculated matching rate.

In general, when the weather matching rate is high, the standard price is reduced because the yield of cultivated crops is increased. Accordingly, the crop price calculation server 100 sets a relatively high score when the weather matching rate is low, and sets a relatively low score if the weather matching rate is high.

For example, scores for weather matching rates have default values. Subsequently, if the matching rate of the cultivated crop is lower than the reference matching rate, the score corresponding to the difference between the matching rate of the cultivated crop and the reference matching rate may be increased. Conversely, when the matching rate of the cultivated crop is higher than the reference matching rate, the first score corresponding to the difference between the matching rate of the cultivated crop and the reference matching rate may be reduced.

Subsequently, the crop price calculation server 100 may calculate the expected yield based on the input'cultivation area' and the weather matching rate of the crop.

Subsequently, the crop price calculation server 100 calculates a relationship diagram between the yield and the crop price based on the data on the past yield and the past price (S230).

Specifically, the crop price calculation server 100 may receive data on past yields and past prices from the crop information providing server 400. For example, the crop price calculation server 100 may receive time-series data on the yield and price of the past three years of cultivated crops from the crop information providing server 400.

At this time, the data on the past price provided from the crop information providing server 400 may include the purchase price for purchasing the cultivated crop at the Agricultural Cooperative, or the auction price that has been successful in the auction market.

Subsequently, the crop price calculation server 100 may calculate a relationship diagram between the yield and the price of the cultivated crop based on the received data. Here, the relationship diagram may be implemented in the form of a graph or a table.

At this time, the crop price calculation server 100 may calculate the relationship with the yield by using either the purchase price or the auction price of the cultivated crop. In addition, the crop price calculation server 100 may calculate the relationship between the average price and the yield for the purchase price and the auction price.

Subsequently, the crop price calculation server 100 calculates a standard price according to the estimated yield of the cultivated crop based on the calculated relationship diagram (S240).

At this time, the crop price calculation server 100 can extract the price corresponding to the expected yield from the relationship diagram calculated in step S230 and select it as a standard price.

Subsequently, the crop price calculation server 100 may provide the selected standard price to the user terminal 200.

Additionally, the farm price calculation server 100 may provide the user terminal 200 with a cultivation method for the selected crop. The user terminal 200 can search and search the cultivation method for the selected crop.

Here, the cultivation method may include cultivation know-how, a method of coping with pests, a method of coping with weather abnormalities, a method of spraying chemicals for each period, and the like. The crop price calculation server 100 may search for a cultivation method for each crop on the web or extract it from the organized database and provide it to the user terminal 200.

Through this, the method for calculating the estimated price for shipping crops of the present invention can immediately provide the user with a standard price (that is, the estimated price for shipment) according to the cultivation time of the crop. Therefore, the user can determine in advance the profitability of the crops to be cultivated by himself, thereby maximizing the profitability of the crops.

In addition, the present invention can increase the investment capital for agriculture by predicting the expected return for crop cultivation in advance, thereby contributing to the activation of the agricultural market.

The above-described present invention, the above-described embodiments and the accompanying drawings because it is possible for a person having ordinary knowledge in the technical field to which the present invention pertains to various substitutions, modifications and changes without departing from the technical spirit of the present invention It is not limited by.

100: crop price calculation server
200: user terminal
300: weather information providing server
400: crop information providing server

Claims (10)

An interface unit that receives a cultivation area, cultivation area, cultivation crops and cultivation time through a user terminal;
A communication unit that receives weather information for a specific period from the weather information providing server and receives information on the purchase price or auction price of the crop from the crop information providing server; And
It includes a standard quote calculation unit that calculates a standard quote based on weather matching rate and information on cultivated area for a specific crop.
System for calculating the estimated price of shipment of agricultural products.
According to claim 1,
The standard price calculation unit,
Calculate the weather matching rate considering the weather information corresponding to the cultivation area and the cultivation time of the cultivation crop,
Comprising calculating the expected yield of the cultivated crop based on the cultivation area and the weather matching rate
System for calculating the estimated price of shipment of agricultural products.
According to claim 2,
The standard price calculation unit,
The relationship between the yield and the crop price is calculated based on the data on the past yield and the past price of the cultivated crop,
And calculating a standard price according to the expected yield of the cultivated crop based on the calculated relationship diagram.
System for calculating the estimated price of shipment of agricultural products.
According to claim 2,
Calculating the weather matching rate includes calculating the similarity between the optimum weather information for the cultivated crop and the weather information received from the weather information providing server.
System for calculating the estimated price of shipment of agricultural products.
According to claim 1,
The standard price calculation unit,
A first score is calculated based on a matching rate between the optimum weather information of the cultivated crop and the weather information,
A second score is calculated based on the difference between the cultivation area and a predetermined reference area,
And calculating the standard price based on the reference price of the cultivated crop and the first and second scores.
System for calculating the estimated price of shipment of agricultural products.
The method of claim 5,
The reference price is an average value of past prices for shipment of the cultivated crop,
The shipment is calculated based on the cultivation time of the cultivated crop and a pre-stored growth period.
System for calculating the estimated price of shipment of agricultural products.
The method of claim 5,
The standard price calculation unit,
A third score is calculated based on the ratio between the cultivation area and the total cultivation area of the cultivation crop,
And calculating the standard price based on the reference price of the cultivated crop and the first to third scores.
System for calculating the estimated price of shipment of agricultural products.
The method of claim 7,
The standard price calculation unit assigns different weights to the first to third scores,
The weight is set by a machine learning module using a neural network
System for calculating the estimated price of shipment of agricultural products.
Receiving data on a cultivated area, cultivated area, cultivated crops and cultivation time through a user terminal;
Calculating shipment based on the inputted cultivation crop and the cultivation time;
Calculating an estimated yield for cultivated crops based on the weather data received from the weather information providing server, the cultivation area, and the cultivation area;
Calculating a relationship between the yield and the crop price based on data on the past yield and the past price of the cultivated crop received from the crop information providing server; And
Comprising the step of calculating the standard price according to the expected yield of the crop based on the calculated relationship
How to calculate the estimated price for shipping crops.
Receiving data on a cultivated area, cultivated area, cultivated crops and cultivation time through a user terminal;
Calculating a first score based on a matching rate between the optimum weather information of the cultivated crop and the weather information;
Calculating a second score based on the difference between the cultivation area and a predetermined reference area;
Calculating a third score based on a ratio between the cultivated area and the total cultivated area of the cultivated crop; And,
And calculating the standard price based on the reference price of the cultivated crop and the first to third scores.
How to calculate the estimated price for shipping crops.

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