JP7251777B2 - Fishing ground information provision device and fishery information provision program - Google Patents

Description

The present invention relates to a fishing ground information providing device and a fishing information providing program for providing fishermen with information on fishing grounds.

2. Description of the Related Art For example, Patent Documents 1 and 2 disclose conventional fishing ground information providing devices that provide fishing ground information to fishermen.

In the fishing ground estimating device described in Patent Document 1, the know-how of the fishery chief who influences the amount of fish catches is not handed down to the fishermen, and the fishing know-how that disappears with the retirement of the fishery chief is inherited. It was developed with the aim of increasing the accuracy of fishing ground prediction by linking fishing conditions and marine environmental conditions.

The fishing ground estimation device described in Patent Document 1 acquires forecast sea condition data from a forecast sea condition database, acquires fishing data from a fishery database in which past fishing performance data is accumulated, and accumulates the latest fishing information. Catch information data is obtained from the catch information database, and the optimal fishing ground condition extraction unit extracts the parameters of the ocean conditions that are estimated to maximize the catch based on the obtained ocean information data, fishing data, and catch information data. and the estimating unit estimates a sea area that satisfies the parameters extracted by the optimum fishing ground condition extracting unit among the obtained predicted sea condition data as a good fishing ground position, and presents the estimated good fishing ground position. That's what it means.

In the fishing ground prediction system described in Patent Document 2, based on observation data that stores observation data such as fish catches and water temperatures observed by users and shared information that stores shared information set for each user, observation data , and has a fishing ground prediction unit that predicts fishing grounds. Observation data can be shared efficiently, and since there is an incentive to obtain observation data of others by providing observation data, active data sharing becomes possible, and the latest observation data Since the fishing ground prediction is performed using the recorded observation data, the accuracy of the fishing ground prediction is improved.

Japanese Patent No. 4849797 JP 2017-12024 A

In the fishing ground estimation device described in Patent Document 1, the parameters of the ocean conditions that maximize the catch are obtained, and the positions of good fishing grounds are estimated and presented. , may lead to overfishing if they congregate at estimated good fishing ground locations.
In addition, in the fishing ground prediction system described in Patent Document 2, since fishing ground prediction is performed based on all observation data observed by the user and permitted to be shared, each operation with an operation diary The know-how of each person is mixed, and it is difficult to inherit know-how.

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a fishing ground information providing device and a fishing information providing program that can prevent overfishing and pass on the know-how of each operator.

The fishing ground information providing device of the present invention stores the fishing ground data recorded in the fishing logbook, including the fishing ground data, and the first identification data assigned to each operator who records the fishing logbook, in association with each other. model building means for building a learning model containing marine weather data indicating weather conditions of the ocean and the fishing ground data corresponding to the first identification data; and weather conditions of the ocean on the scheduled operation date. Prediction data is generated based on marine weather data, and recommended fishing grounds are determined by analyzing trends in fishing grounds of operators to whom the first identification data are assigned from the prediction data using the learning model. It is characterized by comprising requesting means for causing the estimating means to estimate, and fishing ground plotting means for plotting on a map based on the recommended fishing grounds corresponding to the first identification data from the fishing ground estimating means.

In addition, the fishing ground information providing program of the present invention provides a computer with operation data including fishing ground data indicating the fishing grounds where the fishing was carried out recorded in the fishing logbook and first identification data assigned to each operator who recorded the fishing logbook. model building means for building a learning model containing marine weather data indicating marine weather conditions and the fishing ground data corresponding to the first identification data; marine weather on the scheduled operation date Prediction data is generated based on marine weather data that indicates the situation, and using the learning model, from the prediction data, trends in the operating fishing grounds of the operator assigned the first identification data are analyzed and recommended. It is characterized by functioning as requesting means for causing the fishing ground estimating means to estimate a fishing ground and fishing ground plotting means for plotting on a map based on the recommended fishing ground corresponding to the first identification data from the fishing ground estimating means.

According to the present invention, using a learning model including marine weather data and fishing ground data, the tendency of the operating fishing ground of the operator to whom the first identification data is assigned is calculated from the prediction data based on the marine weather data on the scheduled operation date. It can be parsed to obtain recommended fishing grounds.
Therefore, when estimating the recommended fishing grounds, we use forecast data based on marine weather data on the scheduled operation date, so we do not rely on high or low catches, and the ocean weather conditions are similar to those on the scheduled operation date. , presumed to guide operators to fishing grounds where they have fished in the past. Therefore, the recommended fishing grounds reflect the operator's know-how.
In addition, the recommended fishing grounds are estimated for each operator, and the recommended fishing grounds are plotted on the map for each operator, so if the fishing grounds differ from those of other operators, the recommended fishing grounds will have different results. . Therefore, various operators are not concentrated in one fishing ground.

The storage means stores second identification data assigned to each fisheries company to which the operator belongs in association with the first identification data, and the fishing ground plotting means associates the second identification data with the second identification data. A recommended fishing ground corresponding to the obtained first identification data can be superimposed and plotted on the map.
If the other operator is the same fishery company, the operator can also refer to other recommended fishing grounds, so that the other operator's know-how can also be used as a reference.

The storage means stores setting data indicating that the recommended fishing grounds are allowed to be superimposed and plotted on the map in association with the second identification data, and the fishing ground plotting means stores the setting data A recommended fishing ground corresponding to the first identification data associated with the second identification data based on can be plotted overlaid on a map.
Even different fisheries companies can superimpose and plot recommended fishing grounds on a map if there is an agreement between them.

The fishing ground plotting means corresponds to the fishing ground based on the fishing ground data indicating the fishing ground where the operation was performed, the fish species data indicating the caught fish species, and the catch amount data indicating the catch amount, which are included in the operation data. The fish species and catches obtained can be plotted overlaid on the map.
In this way, by superimposing and plotting fish species and catches on the map of fishing grounds, it is possible to determine what kind of fishing grounds, what kind of fish, and what kind of catches are being caught. You can figure it out at a glance.

According to the present invention, if the fishing grounds recorded in the fishing logbook are different from those of other operators, the recommended fishing grounds will be different, so that various operators will not concentrate on one fishing ground. It can be deterred, and the know-how of each operator can be inherited.

BRIEF DESCRIPTION OF THE DRAWINGS It is a figure for demonstrating the structure of the fishing ground information provision system using the fishing ground information provision apparatus which concerns on embodiment of this invention. 2 is a diagram for explaining the configuration of the fishing ground information providing device shown in FIG. 1; FIG. 2 is a diagram for explaining the configuration of a terminal device shown in FIG. 1; FIG. It is a figure which shows an example of an identification data table. It is a figure which shows an example of a learning model. It is a figure which shows an example of the data for prediction. It is a figure which shows an example of the estimation result which shows a recommended fishing ground (recommended fishing ground). It is a figure which shows an example of a result map screen. It is a figure which shows an example of the past operation results.

A fishing ground information providing system using a fishing ground information providing apparatus according to an embodiment of the present invention will be described as an example based on the drawings. A fishing ground information providing system 10 shown in FIG. and a terminal device 60 operated by an operator.

The weather information providing device 20 provides marine weather data indicating marine weather conditions in response to a request from the fishing ground information providing device 30 . Marine meteorological data is data relating to marine meteorological conditions. Marine meteorological data includes water temperature data that indicates water temperature by water depth, tidal current data that indicates tidal currents (east-west component and north-south component of ocean currents), sea surface altitude data that indicates sea surface altitude, salinity data that indicates seawater salinity, and wave data. It includes wave data indicating the height of the sea, wind data indicating the wind direction and speed, precipitation data indicating the amount of precipitation, pressure data indicating the atmospheric pressure, and the like.

In this embodiment, the marine weather data is obtained online from the weather information providing device 20 provided by a weather data provider via the Internet W. It can also be obtained from a DVD or the like. In this case, the past weather information offline data "sea conditions analysis data" provided by the Meteorological Business Support Center can be used.

The fishing ground information providing device 30 has a function of providing fishing ground data related to recommended fishing grounds to operators such as captains of fishing vessels that engage in small-scale operations and fishing chiefs of fishing vessels that engage in large-scale operations, based on various types of data. have. The fishing ground information providing device 30 is a computer that runs a fishing information providing program.
As shown in FIG. 2, the fishing ground information providing device 30 includes communication means 31, weather information acquisition means 32, data registration means 33, model building means 34, screen providing means 35, request means 36, fishing ground A plotting means 37 and a storage means 38 are provided.

The communication means 31 receives data from the Internet W and outputs it to each means in the fishing ground information providing device 30, or inputs data from each means in the fishing ground information providing device 30 and transmits it to the Internet W. do.

The weather information acquisition means 32 requests marine weather data from the weather information providing device 20 shown in FIG.
The data registration means 33 registers in the storage means 38 operation data obtained by converting the handwritten operation diary input from the data input device 40 into data.
The model building means 34 builds a learning model including marine weather data indicating ocean weather conditions and fishing ground data corresponding to the first identification data.
The screen providing means 35 reads screen data to be displayed on the terminal device 60 from the storage means 38 and transmits the data to the terminal device 60 .

The request means 36 constructs a learning model described later based on the operational data and past marine weather data registered in the storage means 38, registers it in the storage means 38, and uses an external fishing ground estimation device installed in the analysis center. 50 is requested to estimate the recommended fishing ground location (recommended fishing ground location).
The fishing ground plotting means 37 plots on the map based on the fishing grounds recommended by the fishing ground estimating device 50 and stores them in the storage means 38 as fishing ground data forming part of the screen data.

The storage means 38 stores programs and various data, and can be, for example, a hard disk drive or an SSD (Solid State Drive). The storage means 38 stores operation data, lunar calendar data, identification data (first identification data, second identification data), learning models, and the like.
The operation data includes data indicating the details of operation during operation recorded in the operation logbook, and includes data obtained by digitizing the handwritten operation logbook and data input by the operator through the terminal device 60. there is Operation data includes operation date data indicating the date of operation, fishing ground data indicating the fishing ground where the operation was performed, marine weather data at the time of operation, net type data indicating the type of net, fish species data indicating the species of fish caught, and catch amount. Includes catch data that indicates the number of fish caught and port data that indicates the port where the fish were landed.
The lunar calendar data includes lunar age data indicating the age of the moon and tide data indicating the times of tidal ebb and flow.

The identification data consists of the fishery chief (operator) who describes the fishing logbook, the first identification data corresponding to the fishery chief, the fisheries company to which the fishery chief belongs, and the second identification data corresponding to the fishery chief. 4 are associated by the identification data table shown in FIG. In the identification data table, an ID and a password for obtaining access authentication to the fishing ground information providing device 30 are associated with the first and second identification data.

Here, the learning model used by the fishing ground information providing device 30 according to this embodiment will be described in detail with reference to FIG.
As shown in FIG. 5, the learning model includes past marine weather data and operational data corresponding to the first identification data.
Specifically, in the present embodiment, the learning model selects, from the operation data, the operation date according to the lunar calendar, the moon age corresponding to this operation date, and the large and middle sections indicating the fishing grounds where the operation was carried out on this operation date. and stored. In this embodiment, the fishing grounds are indicated by the longitude and latitude of the bottom left (west end, south end) of the large and medium division.

In addition, from the past marine weather data, the learning model includes water temperature (water temperature of the day, water temperature one month ago, water temperature two months ago), tidal current (east-west component of ocean current on the day, one month before, two months ago and north-south components) are selected and stored. In this embodiment, in order to improve the accuracy of estimation, the data of one and two months before are included, but only the data of the current day may be included. In addition, one season before can be data from five days ago, and two seasons before can be data from 15 days ago. It is good also as an average of the data from the day to the 30th.

A data input device 40 shown in FIG. 1 is a terminal device (computer) for inputting various pieces of information during operation described in a handwritten operation diary by operator's operation and converting them into data.

As shown in FIG. 1, a relay device 41 for communicably connecting the fishing ground information providing device 30 and the data input device 40 to the Internet W is arranged in the fishing ground information providing center.
The relay device 41 can be a router that connects the Internet W and an intranet within the fishing grounds information providing center. Further, when the number of data input devices 40 installed in the fishing ground information providing center is large, the relay device 41 can be a hub connected to a router and under the router.

The fishing ground estimation device 50 functions as fishing ground estimation means for outputting a recommended fishing ground position in response to an estimation request from the fishing ground information providing device 30 . The fishing ground estimation device 50 uses a learning model to analyze trends in fishing grounds based on prediction data based on marine weather data on the scheduled date of operation.
Estimation of trends in operating fishing grounds can be performed by AI (artificial intelligence) that analyzes data and makes predictions through numerical classification analysis. The fishing ground estimation device 50 can use, for example, a service that provides "MAGELLAN BLOCKS" (registered trademark) that performs machine learning.

The terminal device 60 is a computer operated by the operator to inquire of the fishing ground information providing device 30 about recommended fishing grounds. The terminal device 60 can be a portable tablet computer or smart phone, but may be a desktop or notebook computer.
The terminal device 60 includes communication means 61 , browsing means 62 , input means 63 and display means 64 .

For example, the communication means 61 transmits data from each means in the terminal device 60 to the Internet W via the base station B by radio communication, receives data from the Internet W by radio signals, and sends data to each means. output to
The browsing means 62 receives the screen data from the fishing ground information providing device 30 and displays it on the display means 64 as display data.
The input means 63 can be a touch panel if the terminal device 60 is a tablet computer or a smart phone. Also, if the terminal device 60 is a desktop or notebook computer, it can be a keyboard, mouse, or touch pad.
The display means 64 displays the display data from the viewing means 62 . The display means 64 can be an LCD panel.

The operation and usage state of the fishing ground information providing system 10 according to the embodiment of the present invention configured as described above will be described with reference to the drawings.
First, as a preparation stage, the weather information acquisition means 32 acquires marine weather data online from the weather information providing device 20, or acquires past marine weather data offline using a CD-ROM, DVD, etc., Stored in the storage means 38 .
Further, the data registration means 33 causes the storage means 38 to store the operation data and the identification data input from the data input device 40 .

Next, the model building means 34 builds a learning model.
First, the model construction means 34 calculates the date according to the lunar calendar corresponding to the operation date indicated by the operation date data of the operation data, and stores it in the learning model construction area of the storage means 38 .
The model building means 34 also computes the age of the moon from the date according to the lunar calendar obtained by the computation, and stores it in the learning model building area of the storage means 38 .
In addition, the model construction means 34 extracts the water temperature of the current day, one month ago, two months ago from the water temperature data of the past marine weather data corresponding to the operation day indicated by the operation date data, and the learning model of the storage means 38 is stored in the construction area.
In addition, the model construction means 34 extracts the east-west component and the north-south component of the ocean current on the current day, one season before, and two months before from the tidal current data of the past marine weather data corresponding to the operation day, and the storage means 38 learns. Store in the area where you build the model.
In addition, the model construction means 34 extracts fishing ground data indicating the fishing ground where fishing was carried out corresponding to the fishing day from the operation data, and stores the extracted fishing ground data in the area for building the learning model.
The model construction means 34 associates the first identification data with these data.
In this way, for example, when the learning model shown in FIG. 5 is constructed, the requesting means 36 transmits the learning model to the fishing ground estimation device 50 shown in FIG. 1 and imports it.

Once the learning model is ready, the next step is prediction. In the prediction stage, first, prediction data is generated for use as a factor for the learning model.
As shown in FIG. 6, the prediction data includes the first identification data, the lunar calendar and age of the moon on the scheduled operation date, the water temperature on the day, the day before the first month, and the day before the second month, and the current day, the time before the first month, and the second month. It consists of the previous east-west component and north-south component.
The lunar calendar date of this prediction data is calculated by the requesting means 36 based on the scheduled operation date. The age of the moon is obtained by the requesting means 36 referring to the age of month data from the date according to the lunar calendar.
The water temperature and ocean current data for the current day are extracted by the requesting means 36 from the next day's forecast marine weather data obtained online by the weather information obtaining means 32 from the weather information providing device 20 . Moreover, the data of one month ago and two months ago are extracted by the request means 36 from the past marine weather data.

The prediction data generated in this manner is transmitted to the fishing ground estimation device 50 by the requesting means 36 . In the present embodiment, the weather information providing device 20 distributes marine weather data, which is forecast for the next day, every day at a predetermined time. Therefore, when the marine weather data is obtained, the requesting means 36 sets the scheduled operation date to the next day and causes the fishing ground estimation device 50 to estimate the recommended fishing grounds every day.

The fishing ground estimation device 50 uses a learning model to analyze the tendency of the fishing grounds of the operator to whom the first identification data is assigned from the prediction data based on the marine weather data indicating the weather conditions of the ocean on the scheduled operation date. , to estimate the recommended fishing grounds as estimation results.
As a result of the estimation, as shown in FIG. 7, the latitude and longitude indicating the positions of the large and medium divisions are output as recommended fishing grounds (recommended fishing grounds). In the present embodiment, the recommended fishing grounds are location data indicated by the longitude and latitude of the lower left (west end, south end) of the large and medium divisions, similar to the learning model.
As for the recommended fishing ground data, the position data indicating the recommended fishing ground and the scheduled fishing date are stored in the storage means 38 in association with the first identification data.

Next, a procedure for the operator to operate the terminal device 60 and view the result map screen will be described.
First, the operator operates the terminal device 60 to access the fishing ground information providing device 30 and obtain authentication. Since the authentication is performed according to a normal procedure, the details are omitted. With this authentication, the fishing ground information providing device 30 identifies the first identification data.

If the authentication is obtained, the screen providing means 35 of the fishing ground information providing device 30 transmits the menu screen to the terminal device 60 . Then, it is assumed that the operator operates the input means 63 of the terminal device 60 and selects “display result map screen” displayed on the display means 64 .
When "display result map screen" is selected, the viewing means 62 requests screen data including the result map screen from the fishing ground information providing device 30. FIG.

In response to the request from the terminal device 60, first, in the fishing ground information providing device 30, the fishing ground plotting means 37 reads the recommended fishing ground data corresponding to the first identification data and the scheduled fishing date from the storage means 38, and reads the recommended fishing ground data. Plot the extent of recommended fishing grounds on a map based on the data. This plot colors the range of large and medium divisions indicated by latitude and longitude as recommended fishing grounds. Then, the fishing ground plotting means 37 transmits to the terminal device 60 a result map screen including a recommended fishing ground map showing a map on which the recommended fishing grounds are plotted.

In the terminal device 60 , the result map screen received by the browsing means 62 is displayed on the display means 64 . For example, the result map screen can be as shown in FIG.
In the result map screen P1 shown in FIG. 8, in the upper part, the dates according to the lunar calendar for one month including the viewing date, the image showing the phases of the moon, and the name of the tide are arranged in three stages. is displayed. A search column R12 for requesting display of past operation results is displayed in the middle section. A recommended fishing ground map M on which recommended fishing grounds are plotted is displayed in the lower part.

In the recommended fishing ground map M, the recommended fishing ground A1 among the large and medium divisions is plotted in light red on the map, and the recommended fishing ground A1 colored in light red indicates that the operator's own recommended fishing ground. The character "self" is displayed.

As described above, the fishing ground information providing device 30 (see FIG. 1) according to the present embodiment uses a learning model including marine weather data and fishing ground data to predict data based on the marine weather data on the scheduled operation date. , the tendency of the operating fishing grounds of the operator assigned the first identification data is analyzed to obtain the recommended fishing ground A1.
Therefore, when estimating the recommended fishing ground A1, since the forecast data based on the marine weather data on the scheduled operation date is used, it is close to the marine weather conditions on the scheduled operation date, without depending on the level of the catch. It is presumed that the operator will guide you to the fishing grounds where he has fished in the past.
Therefore, the recommended fishing ground A1 reflects the operator's know-how.

In addition, the recommended fishing ground A1 is estimated for each operator, and the recommended fishing ground A1 is plotted on the map for each operator. Therefore, if the fishing ground differs from that of other operators, the recommended fishing ground will differ. Therefore, various operators are not concentrated in one fishing ground.
Therefore, the fishing ground information providing device 30 can prevent overfishing and pass on the know-how of each operator.

In addition, since the fishing ground plotting means 37 divides the fishing ground into large and medium sections and plots it, the operator can easily grasp the guided fishing ground.

Next, the display of the past operational results on the result map screen P1 shown in FIG. 8 will be described. The search field R12 of the result map screen P1 allows the number of years and month in the past to be designated by the new calendar and the old calendar. In addition, it is also possible to narrow down the fish species, area (fishing ground), water temperature, and the like to be searched using the search field R12.
At this time, the operator can enable the selection button B2 displaying "Also display information of others".

The operator operates the input means 63 of the terminal device 60 shown in FIG. 3 to enter these settings in the search column R12 shown in FIG. 8, and presses the search button B1.
When the search button B<b>1 is pressed, the terminal device 60 transmits a request to display past fishing results to the fishing ground information providing device 30 .

In the fishing ground information providing device 30, the fishing ground plotting means 37 corresponds to the fishing ground based on the fishing ground data indicating the operated fishing ground, the fish species data indicating the caught fish species, and the catch amount data indicating the catch amount. Generate past fishing results plotted by superimposing the fish species and catches on a map.
At this time, if the selection button B2 displayed as "Also display other information" on the result map screen P1 is enabled, the first identification data associated with the second identification data assigned to each fisheries company is displayed. Corresponding recommended fishing grounds are superimposed on the map.
Then, the screen providing means 35 transmits the screen of past operation results to the terminal device 60 .
In the terminal device 60 , the past operation results are displayed on the display means 64 by the browsing means 62 .

The past operational performance can be, for example, as shown in FIG.
In the past fishing results P2 shown in FIG. 9, the recommended fishing grounds A2 of other operators are indicated by "other". In the example shown in FIG. 9, since the fishing ground indicated by "self" and the fishing ground indicated by "other" are at the same position, the colored ranges indicating the fishing grounds overlap. is plotted at a position offset from the recommended fishing ground A1.

In the present embodiment, the recommended fishing grounds are superimposed and displayed for the operator belonging to the fishery company. It is possible to superimpose and display.
For example, first, setting data indicating that the recommended fishing grounds are permitted to be superimposed and plotted on the map is stored in the storage means 38 in association with the second identification data.
Then, the fishing ground plotting means 37 superimposes and plots the recommended fishing ground corresponding to the first identification data associated with the second identification data on the map based on the setting data.
By doing so, based on the agreement between fisheries companies, it is possible to superimpose and plot the recommended fishing grounds on the map, so it is possible to operate in the recommended fishing grounds of other fishery companies, or to use the recommended fishing grounds of other fishery companies. You can avoid it and operate, and you can expand your options for operation.

Further, in the past operation record P2 shown in FIG. 9, the position of the circle indicates the fishing ground where the operation was performed, the color of the circle indicates the species of fish caught, and the size of the circle indicates the catch. .

In this way, since the fishing ground plotting means 37 superimposes and plots the recommended fishing grounds corresponding to the first identification data associated with the second identification data on the map, other operators can If there is, the operator can also refer to the know-how of other operators.

Also, in the past operation record P2, the position of the circle indicates the fishing ground where the operation was performed, the color of the circle indicates the species of fish caught, and the size of the circle indicates the amount of catch. At a glance, it is possible to grasp what kind of fish species were caught in various fishing grounds, with what amount of catch.
In this embodiment, the past fishing results are represented by circles, but since the position, color, and size can represent the fishing ground, fish species, and catch amount, any shape can be used as long as it is a figure. good.

In this embodiment, the fishing ground estimating means is the fishing ground estimating device 50 installed outside, and the requesting means 36 requests estimation through the Internet W, but the fishing ground estimating device 50 is each means of the fishing ground information providing device 30 may be built in the fishing ground information providing device 30 as a part of. Similarly, the weather information providing device 20 may also be incorporated in the fishing ground information providing device 30 .

The fishing ground information providing apparatus of the present invention is suitable for inexperienced operators because it is possible to inherit the know-how included in the fishing diary kept by the fishing chief.

10 fishing ground information providing system 20 weather information providing device 30 fishing ground information providing device 31 communication means 32 weather information acquisition means 33 data registration means 34 model building means 35 screen providing means 36 request means 37 fishing ground plotting means 38 storage means 40 data input device 41 Relay device 50 Fishing ground estimation device 60 Terminal device 61 Communication means 62 Browsing means 63 Input means 64 Display means B Base station W Internet P1 Result map screen R11 Lunar calendar column R12 Search column M Recommended fishing ground map A1, A2 Recommended fishing ground B1 Search button B2 Selection Button P2 Past operation results

Claims (5)

storage means for storing operational data including fishing ground data recorded in an operational logbook and indicating a fishing ground in which the operation was carried out, and first identification data assigned to each operator who recorded the operational logbook, in association with each other;
model construction means for constructing a learning model including marine weather data indicating marine weather conditions and the fishing ground data corresponding to the first identification data;
Generate prediction data based on marine weather data that includes the first identification data and indicates the weather conditions of the ocean on the scheduled date of operation, and uses the learning model to generate the first identification included in the prediction data requesting means for analyzing trends in fishing grounds for operators to whom data is allocated and causing fishing ground estimating means to estimate recommended fishing grounds on the scheduled operating date ;
fishing ground plotting means for plotting on a map based on recommended fishing grounds corresponding to the first identification data from the fishing ground estimating means. The storage means stores second identification data assigned to each fisheries company to which the operator belongs in association with the first identification data,
2. The fishing ground information providing apparatus according to claim 1, wherein said fishing ground plotting means plots a recommended fishing ground corresponding to said first identification data associated with said second identification data by superimposing it on a map. The storage means stores, in association with the second identification data, setting data indicating that the recommended fishing grounds are allowed to be superimposed and plotted on the map,
3. The fishing ground information according to claim 2, wherein said fishing ground plotting means superimposes and plots a recommended fishing ground corresponding to said first identification data associated with said second identification data on a map based on said setting data. delivery device. The fishing ground plotting means corresponds to the fishing ground based on the fishing ground data indicating the fishing ground where the operation was performed, the fish species data indicating the caught fish species, and the catch amount data indicating the catch amount, which are included in the operation data. 4. The fishing ground information providing device according to any one of claims 1 to 3, wherein the obtained fish species and catch amount are superimposed and plotted on the map. the computer,
Storage means for storing operational data including fishing ground data recorded in the operational logbook and indicating the fishing grounds operated, and first identification data assigned to each operator who recorded the operational logbook, in association with each other;
model construction means for constructing a learning model including marine weather data indicating marine weather conditions and the fishing ground data corresponding to the first identification data;
Generate prediction data based on marine weather data that includes the first identification data and indicates the weather conditions of the ocean on the scheduled date of operation, and uses the learning model to generate the first identification included in the prediction data requesting means for analyzing trends in the operating fishing grounds of the operator to whom the data is assigned and causing the fishing ground estimating means to estimate the fishing grounds recommended for the scheduled operation date ;
A fishing ground information providing program that functions as fishing ground plotting means for plotting on a map based on recommended fishing grounds corresponding to the first identification data from the fishing ground estimation means.

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