Wildlife risk management system, wildlife risk management device, wildlife risk management method, wildlife risk management program, and computer-readable storage medium and recording device.

Abstract

The calculation accuracy is improved by considering the risk of damage caused by wild animals and birds from multiple factors. [Solution] The wildlife risk management system 1000 comprises a server unit which includes a server-side calculation unit 10 for calculating the encounter risk for each specific area based on sighting information or capture information acquired by the server-side communication unit 20, and a server-side display unit 30 which can overlay the encounter risk for each area calculated by the server-side calculation unit 10 onto a map including each area, for each corresponding area. Sighting information includes at least one of the sighting location information of the place where the wildlife was sighted, the date of the sighting, and the type of wildlife sighted. Capture information includes at least one of the capture location information of the place where the wildlife was captured, the date of capture, and the type of wildlife captured. The server-side calculation unit 10 is configured to calculate the encounter risk for each type of wildlife for each specific area based on the sighting location information of the sighting information and the capture location information of the capture information.

Description

Technical Field

[0001] The present disclosure relates to a wildlife risk management system, a wildlife risk management device, a wildlife risk management method, a wildlife risk management program, a computer-readable storage medium, and a recording device.

Background Art

[0002] Damage caused by harmful wildlife (hereinafter referred to as "wildlife"), including animals such as wild boars, deer, bears, and monkeys that damage fields and crops, and birds such as crows and pigeons, occurs frequently throughout the country. In addition to damage to agricultural crops by wildlife, accidents in which wildlife appears in urban areas or comes into contact with vehicles on highways and ordinary roads have also been reported one after another. In Tokushima Prefecture, in June 2025, a fatal accident involving two men suspected to be caused by wild boars was reported. Furthermore, incidents involving bears attacking people in urban areas have been reported throughout the country, posing risks to human life. To prevent such damage, eyewitness information is solicited to call attention, fixed-point cameras are installed for observation, or in order to promote capture, money is paid to captured hunters, or traps are set.

[0003] For example, a management device has been proposed that displays and visualizes pest information and location information on a map regarding harmful animals living in a management target area (Patent Document 1). In this management device, a heat map indicating the number of individuals of harmful animals is generated according to the number of mapped pest information. In the heat map, the color is made darker in areas where the number of mapped pest information is larger, and the color is made lighter in areas where the number of mapped information is smaller.

[0004] However, this management device only displays, for example, a heat map regarding the number of wild boar individuals on a standard map. The number of individuals refers to the number of captures, sightings, observations, etc. However, even if these numbers of individuals are displayed separately, ultimately, it has not been easy to comprehensively determine which areas have how much risk of wildlife damage.

Prior Art Documents

Patent Documents

[0005] [Patent Document 1] Japanese Patent Publication No. 2023-85137 [Overview of the Initiative] [Problems that the invention aims to solve]

[0006] One objective of this disclosure is to provide a wildlife risk management system, wildlife risk management device, wildlife risk management method, wildlife risk management program, computer-readable storage medium, and recording device that can display wildlife damage risks with increased accuracy by considering multiple factors. Another objective is to provide a wildlife risk management system, wildlife risk management device, wildlife risk management method, wildlife risk management program, computer-readable storage medium, and recording device that allows for easy switching of information displayed overlaid on a map. The description of these objectives and objectives in this disclosure does not preclude the existence of other objectives and objectives. Furthermore, one aspect of this disclosure does not need to solve all of these objectives. It is also possible to extract other objectives from the description, drawings, and claims of this disclosure. Means for solving the problems and effects of the invention.

[0007] A wildlife risk management system according to the first embodiment of this disclosure is a wildlife risk management system capable of displaying the risk of encountering wildlife based on wildlife sighting information or capture information, comprising: a plurality of terminal units for transmitting the sighting information or capture information; a server-side communication unit capable of communicating with the plurality of terminal units via a network for receiving the sighting information or capture information transmitted by the plurality of terminal units; a server-side calculation unit for calculating the risk of encountering wildlife for each specific region based on the sighting information or capture information acquired by the server-side communication unit; and each region calculated by the server-side calculation unit The system includes a server unit that has a server-side display unit capable of overlaying the aforementioned encounter risk for each corresponding region on a map including each region, the sighting information includes at least one of the sighting location information of the place where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted, and the capture information includes at least one of the capture location information of the place where the bird or animal was captured, the date of capture, and the type of bird or animal captured, and the server-side calculation unit is configured to calculate the encounter risk for each animal type for each specific region based on the sighting location information of the sighting information and the capture location information of the capture information. With the above configuration, it becomes possible to integrate the sighting information and capture information of birds and animals and calculate the encounter risk for each animal type and region, thereby realizing a more accurate wildlife risk management system.

[0008] Furthermore, in the second embodiment of the wildlife risk management system of this disclosure, the capture information includes the period from when a trap for capturing wildlife is set until a wildlife is caught in the trap, and the server-side calculation unit is configured to increase or decrease the encounter risk for each species of wildlife in each region, such that the shorter the period from when a wildlife is caught in the trap, the higher the encounter risk of the wildlife. With this configuration, the accuracy of the encounter risk can be further improved by correcting the wildlife capture information so that the shorter the period from when a trap is set until a wildlife is actually captured, the more wildlife is assumed to be present and the higher the encounter risk.

[0009] Furthermore, in any of the above forms, the wildlife risk management system relating to the third form of this disclosure is configured such that the server-side calculation unit increases or decreases the encounter risk for each species of wildlife in each region, such that the encounter risk increases for wildlife with a high number of sighting reports and decreases for wildlife with a high number of capture reports. With this configuration, the accuracy of the encounter risk can be improved by taking into account not only the number of sighting reports but also the number of capture reports, and correcting so that the more capture reports there are, the fewer wildlife there are and the lower the encounter risk.

[0010] Furthermore, in any of the above forms, the wildlife risk management system according to the fourth embodiment of this disclosure is configured such that the server-side calculation unit calculates the encounter risk taking weather information into consideration. With this configuration, by calculating and calibrating the encounter risk by taking weather information into consideration in addition to sighting and capture information, it is possible to calculate the encounter risk with even greater accuracy.

[0011] Furthermore, in any of the above embodiments, the wildlife risk management system according to the fifth embodiment of this disclosure is configured such that the server-side display unit can display a specific area as a specific section corresponding to the specific region, and the specific section is a mesh according to the GIS provided by the Geospatial Information Authority of Japan. With the above configuration, the wildlife encounter risk can be calculated and displayed based on the mesh provided by the Geospatial Information Authority of Japan.

[0012] Furthermore, in any of the above embodiments, the wildlife risk management system according to the sixth embodiment of this disclosure is configured such that the server-side calculation unit calculates the encounter risk for each animal species based on the number of animals and birds provided on a mesh-by-mesh basis, using the sighting information and capture information included in each mesh. With this configuration, the encounter risk can be corrected and accuracy improved by using the number of animals and birds for each mesh as an initial value and adding or subtracting it with the sighting information and capture information of the animals and birds.

[0013] Furthermore, in any of the above embodiments, the wildlife risk management system according to the seventh embodiment of this disclosure is configured such that the server-side display unit can display, for each mesh, whether the current encounter risk has increased or decreased compared to past encounter risks, for each type of animal. With this configuration, it is possible to comprehensively grasp on a map whether the encounter risk has increased or decreased for each type of animal.

[0014] Furthermore, in any of the above embodiments, the wildlife risk management system according to the eighth embodiment of this disclosure has a server-side display unit that, for each mesh, can display whether the current encounter risk has increased or decreased compared to past encounter risks, by different colors or up / down arrows, for each type of animal. This configuration makes it possible to visually determine whether the encounter risk has increased or decreased for each type of animal, thereby improving visibility and ease of overview.

[0015] Furthermore, in any of the above embodiments, the wildlife risk management system according to the ninth embodiment of this disclosure has a server-side display unit in which the area covered by each mesh is variable. With this configuration, by displaying the mesh with a variable area for each mesh, it becomes possible to adjust the display according to the desired level of detail.

[0016] Furthermore, in any of the above embodiments, the wildlife risk management system according to the tenth embodiment of this disclosure includes a display switching unit in the server-side display unit that can switch between a mesh display and a map display. With this configuration, it is possible to easily switch between a mesh display and a standard map display.

[0017] Furthermore, the wildlife risk management system according to the eleventh embodiment of this disclosure further includes a warning unit that issues a warning when the encounter risk calculated by the server-side calculation unit exceeds a predetermined value, in any of the above embodiments. With this configuration, by warning that the encounter risk of a specific animal species is increasing in a specific area, it is possible to encourage local residents and vehicles traveling in the vicinity to take safety measures and contribute to preventing accidents caused by wildlife damage.

[0018] Furthermore, in any of the above embodiments, the wildlife risk management system according to the twelfth embodiment of this disclosure includes, in the sighting information or capture information transmitted by the plurality of terminal units, image data including the appearance of the wildlife, and the server-side processing unit is configured to perform image recognition on the appearance of the wildlife included in the image data received by the server-side communication unit, and to determine the species, number, length, weight, sex, and adult / younger status of the wildlife. With this configuration, the advantage is obtained that the input and output of sighting information and capture information can be easily performed by automatically determining the species of wildlife, etc., using image processing with AI or the like.

[0019] Furthermore, in any of the above embodiments, the wildlife risk management system according to the 13th embodiment of this disclosure includes, in the sighting information or capture information transmitted by the plurality of terminal units, image data including a piece of paper of a predetermined size, and the server-side calculation unit is configured to estimate the body length of the wildlife based on the piece of paper of the predetermined size included in the image data received by the server-side communication unit. This configuration has the advantage of improving the accuracy of determining the body length of wildlife by including the reference size in the image data.

[0020] Furthermore, in any of the above embodiments, the wildlife risk management system according to the 14th embodiment of this disclosure is configured such that the server-side calculation unit estimates the weight of the wildlife based on the body length of the wildlife included in the image data received by the server-side communication unit. This configuration has the advantage of improving the accuracy of determining the weight of wildlife by including the reference size in the image data.

[0021] Furthermore, in any of the above embodiments, the wildlife risk management system according to the 15th embodiment of this disclosure includes, in the sighting location information or the capture location information, longitude and latitude, and the server-side calculation unit is configured to assign the sighting information or the capture information to the specific region based on the latitude and longitude included in the sighting information or the capture information. With this configuration, it becomes possible to automatically assign the locations of the collected sighting information or capture information based on latitude and longitude.

[0022] Furthermore, in any of the above embodiments, the wildlife risk management system according to the 16th embodiment of this disclosure includes location information of traps that have not yet captured any animals. This configuration offers the advantage of being able to centrally manage both traps in which animals have been captured and traps in which animals have not yet been captured as a single piece of capture information.

[0023] Furthermore, a wildlife risk management device according to the 17th embodiment of the present disclosure is a wildlife risk management device capable of displaying wildlife encounter risk based on wildlife sighting information, comprising: a server-side communication unit capable of communicating with a plurality of terminal units via a network for receiving the sighting information or capture information of wildlife transmitted by a plurality of terminal units for transmitting the sighting information or capture information of wildlife; a server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit; and a server-side display unit capable of overlaying the encounter risk for each area calculated by the server-side calculation unit onto a map including each area, for each corresponding area, wherein the sighting information includes sighting location information of the place where the wildlife was sighted, the date of sighting, and the type of wildlife sighted; the capture information includes capture location information of the place where the wildlife was captured, the date of capture, and the type of wildlife captured; and the server-side calculation unit is configured to calculate the encounter risk for each type of wildlife for each specific area based on the sighting location information of the sighting information and the capture location information of the capture information. The above configuration allows for the integration of animal sighting and capture data, enabling the calculation of encounter risk by animal species and region, thereby improving accuracy.

[0024] Furthermore, the wildlife risk management method according to the 18th aspect of the present disclosure is a wildlife risk management method for displaying the encounter risk of wildlife based on the sighting information or capture information of wildlife, comprising: a step of acquiring, by a server unit, the sighting information including at least any one of the sighting position information of the location where the wildlife was sighted, the date of sighting, and the species of the wildlife sighted, or the capture information including at least any one of the capture position information of the location where the wildlife was captured, the date of capture, and the species of the wildlife captured; a step of calculating, by the server unit, the encounter risk for each specific region based on the acquired sighting information or capture information; and a step of causing the server-side display unit to display, for each corresponding region on a map including each region, the encounter risk calculated for each wildlife species for each region, overlaid based on the sighting position information of the sighting information and the capture position information of the capture information. Thereby, it becomes possible to integrate the sighting information and capture information of wildlife and calculate the encounter risk by wildlife species and by region, and a more accurate wildlife risk management system can be realized.

[0025] Furthermore, the wildlife risk management program according to the 19th aspect of the present disclosure is a wildlife risk management program for displaying the encounter risk of wildlife based on the sighting information or capture information of wildlife, which causes a computer to execute: a function of acquiring, by a server unit, the sighting information including at least any one of the sighting position information of the location where the wildlife was sighted, the date of sighting, and the species of the wildlife sighted, or the capture information including at least any one of the capture position information of the location where the wildlife was captured, the date of capture, and the species of the wildlife captured; a function of calculating, by the server unit, the encounter risk for each specific region based on the acquired sighting information or capture information; and a function of causing the server-side display unit to display, for each corresponding region on a map including each region, the encounter risk calculated for each wildlife species for each region, overlaid based on the sighting position information of the sighting information and the capture position information of the capture information. With the above configuration, it becomes possible to integrate the sighting information and capture information of wildlife and calculate the encounter risk by wildlife species and by region, and a more accurate wildlife risk management system can be realized.

[0026] Furthermore, the computer-readable recording medium or storage device according to the 20th aspect of the present disclosure is a non-transitory computer-readable recording medium or storage device storing the above program. The recording media include magnetic disks such as CD-ROM, CD-R, CD-RW, flexible disks, magnetic tapes, MO, DVD-ROM, DVD-RAM, DVD-R, DVD+R, DVD-RW, DVD+RW, Blu-ray (registered trademark), HD DVD (AOD), optical disks, magneto-optical disks, semiconductor memories, and other media capable of storing programs. In addition to those stored and distributed on the above recording media, the programs also include those distributed by downloading through network lines such as the Internet. Furthermore, the storage devices include general-purpose or dedicated devices in which the above program is implemented in a state executable in the form of software, firmware, or the like. Additionally, each process and function included in the program may be executed by computer-executable program software, or may be realized in a form in which the processing of each part is mixed with hardware such as a predetermined gate array (FPGA, ASIC), or a partial hardware module that realizes some elements of program software and hardware.

Brief Description of the Drawings

[0027] [Figure 1] It is a schematic diagram showing the system configuration of the wildlife risk management system according to an embodiment of the present disclosure. [Figure 2] It is an image diagram showing an example of the notification screen of the wildlife countermeasure map screen. [Figure 3] It is an image diagram showing an example of the capture sensor screen. [Figure 4] It is an image diagram showing an example of the detection sensor screen. [Figure 5] It is an image diagram showing an example of the camera sensor screen. [Figure 6] It is an image diagram showing an example of the hunting information screen. [Figure 7] It is an image diagram showing an example of the sighting information screen. [Figure 8] This is an image illustrating an example of a trap screen. [Figure 9] This is an illustrative diagram showing examples of animal species represented by icons. [Figure 10] This is an illustrative diagram showing an example of a witness / victim screen. [Figure 11] This is an illustrative diagram showing an example of a screen for registering new eyewitness reports. [Figure 12] This is an image illustrating another example of a sighting information screen. [Figure 13] This is an illustrative diagram showing an example of mesh display in the server-side display unit. [Figure 14] This is an illustrative diagram showing an example of a mesh display using a secondary mesh. [Figure 15] This is an illustrative diagram showing the increase or decrease in the risk of encountering something. [Figure 16] This is an image illustrating an example of a display switching screen. [Figure 17] This is an illustrative diagram showing the display of eyewitness information icons and a heatmap. [Figure 18] This is an image illustrating an example of an enlarged view of a sighting information table. [Figure 19] This is an image illustrating an example of a map being displayed in a magnified view. [Figure 20] This is an image diagram showing an example of the trap list screen. [Figure 21] This is an illustrative image showing an example of a display screen that can be viewed by the general public. [Figure 22] This is an illustrative diagram showing an example of a screen displaying eyewitness and damage information. [Figure 23] This is an image illustrating an example of the screen for editing eyewitness / damage information. [Figure 24] This is an image illustrating an example of a hunter login screen. [Figure 25] This is an image diagram showing an example of a capture information input screen. [Figure 26] Figure 25 is an image illustrating the capture information input screen with a photo uploaded. [Figure 27]Figure 25 is an illustrative diagram showing the state after AI analysis has been performed on the capture information input screen. [Figure 28] This is an illustrative diagram showing a map overlaid with a route generated by the automatic route generation function. [Figure 29] This is an image illustrating an example of a capture information screen. [Figure 30] This is an image diagram showing an example of a capture information input screen. [Figure 31] This is an illustrative diagram showing an example of an individual approval screen. [Figure 32] This is an image illustrating an example of the capture information list screen. [Figure 33] This is an image illustrating an example of a screen for creating a capture report. [Figure 34] This is an illustrative image showing an example of an automatically generated capture report. [Figure 35] This is an illustrative diagram showing the current risk of encountering an enemy based on current weather information. [Figure 36] This is an illustrative diagram showing future encounter risks based on future weather information. [Figure 37] This is an image diagram showing an example of the output screen for an analysis report. [Modes for carrying out the invention]

[0028] The embodiments of this disclosure will be described below with reference to the drawings. However, the embodiments shown below are examples for concretizing the technical concept of this disclosure, and this disclosure is not limited to those shown below. Furthermore, this specification does not limit the members shown in the claims to the members of the embodiments. In particular, the dimensions, materials, shapes, relative arrangements, etc. of the components described in the embodiments are merely illustrative examples and are not intended to limit the scope of this disclosure to those components unless specifically stated otherwise. Note that the size and positional relationships of the members shown in each drawing may be exaggerated for clarity of explanation. Furthermore, in the following description, the same name and reference numerals indicate the same or similar members, and detailed explanations will be omitted as appropriate. Furthermore, each element constituting this disclosure may be configured such that multiple elements are made of the same material, with one material serving multiple elements, or conversely, the function of one material may be shared among multiple materials. [Embodiment 1]

[0029] Figure 1 shows a wildlife risk management system 1000 according to Embodiment 1 of this disclosure. In this wildlife risk management system 1000, a server unit and a plurality of terminal units 1 constituting a wildlife risk management device 100 are connected via a network such as a public telephone line. This wildlife risk management system 1000 collects information on wildlife, such as sightings and captures, from users, mainly ordinary citizens and hunters, and can display the risk of encountering wildlife based on this sighting and capture information. (Terminal section 1)

[0030] Each terminal unit 1 is a component for transmitting information about birds and animals, such as sightings and capture information. Typically, this includes portable devices such as smartphones owned by the user. However, it is not limited to these; a home desktop PC or tablet can also be used as terminal unit 1. (Eyewitness accounts)

[0031] Sighting reports include information about sightings of birds and animals, injuries sustained through contact, vehicle damage, and crop damage. Sighting reports may include information such as the location where the animal was sighted, the date of the sighting, the type of animal seen, the nature of the damage, and the crops that were damaged. (Capture information)

[0032] On the other hand, capture information can include information such as the location where the animal was captured, the date of capture, the time elapsed from setting the trap until the animal was caught, and the type of animal captured. Capture location information can be the location where the trap for capturing the animal was set, or the location where the animal was killed with a hunting rifle or other means. Capture information may also include the time elapsed from setting the trap until the animal was caught in it. This time elapsed can be expressed in days or hours. Furthermore, capture information can be used not only for cases where animals have already been captured, but also for information about traps before any animals were caught. In other words, traps that have captured animals and traps that have not yet captured animals can be managed centrally as capture information.

[0033] Furthermore, this wildlife information, such as sightings and capture reports, may also include image data showing the animals. By using a terminal unit 1 such as a smartphone or camera owned by the user to acquire photographs of the animals as image data, the type and number of animals can be confirmed, increasing the reliability of the information. In addition, by sending the image data to the server unit, it can be used for analysis on the server side. (Server section)

[0034] The server unit comprises a server-side communication unit 20, a server-side calculation unit 10, a server-side display unit 30, and a server-side storage unit 40.

[0035] The server-side communication unit 20 is a component for receiving sighting or capture information transmitted by multiple terminal units 1. The server-side communication unit 20 is capable of communicating with multiple terminals via a network.

[0036] The server-side calculation unit 10 is a component for calculating the encounter risk for each specific area based on sighting or capture information acquired by the server-side communication unit 20. The server-side calculation unit 10 calculates the encounter risk for each animal species for each specific area based on the sighting location information of the sighting information and the capture location information of the capture information. Such a server-side calculation unit 10 can be implemented using a computer or the like. For example, the server-side calculation unit 10 may include a calculation circuit 11 and a storage circuit 12. The calculation circuit 11 can be made up of a processor, and specifically a CPU, MPU, SoC, etc. can be used. The storage circuit 12 stores computer program code configured to execute various functions on the calculation circuit 11. Such a storage circuit 12 can utilize memory or storage elements. Preferably, RAM, SSD, HDD, etc.

[0037] The server-side processing unit 10 may also be configured to perform image recognition on the images of birds and animals contained in the image data received by the server-side communication unit 20. For example, it can analyze the image data to automatically determine the species, number, length, weight, sex, and adult / younger juvenile status of the birds and animals. By automatically determining the species of animals, etc., using image processing with a trained AI, the advantage is that it is possible to easily input and output sighting and capture information.

[0038] The server-side storage unit 40 is a component for storing various information and settings, such as sighting information and capture information. Storage elements such as HDDs and SSDs can be used for this server-side storage unit 40. In the example shown in Figure 1, the server-side storage unit 40 is directly connected to the network. In this case, the server-side storage unit 40 itself has communication capabilities. Cloud servers and NAS devices can be used for this server-side storage unit 40. However, the server-side storage unit 40 may also be connected to the server-side processing unit 10. (Server-side display unit 30)

[0039] The server-side display unit 30 is a component for displaying the results and settings calculated by the server-side calculation unit 10. Specifically, the server-side display unit 30 can display the encounter risk for each region calculated by the server-side calculation unit 10, overlaid on a map that includes each region, for each corresponding region. This makes it possible to integrate wildlife sighting and capture information and calculate the encounter risk by animal species and region, thereby realizing a more accurate wildlife risk management system 1000. (Wildlife Control Dashboard)

[0040] Figure 2 shows an example of the display screen on the server-side display unit 30. Here, the wildlife management dashboard is displayed as the display screen. The content displayed on the display screen can be switched. In the example in Figure 2, the display content can be switched by selecting the display switching button 41 located at the top. In the example in Figure 2, the wildlife management map screen is shown as the display screen. By selecting the display switching button 41, it is possible to switch to the wildlife management map screen, as well as the sensor performance screen, hunting / capture screen, sighting / damage screen, trap management screen, and notification screen.

[0041] Furthermore, a toggle tab 42 can be provided on the wildlife management map screen to switch the displayed content. In the example in Figure 2, the toggle tab 42 is located at the top of the information display area 32, below the display toggle button 41. Here, an example is shown where the "Notifications" tab is selected from the toggle tab 42 on the wildlife management map screen to display the notifications screen. From this state, by selecting the toggle tab 42, it is possible to switch to the capture sensor screen shown in Figure 3 or the detection sensor screen shown in Figure 4. Furthermore, it is also possible to switch to the camera sensor screen shown in Figure 5, the hunting screen shown in Figure 6, the sighting information screen shown in Figure 7, or the trap screen shown in Figure 8.

[0042] The display screen can be shown not only on the server-side display unit 30 but also on the terminal unit 1. However, the display screen on the terminal unit 1 does not necessarily match the display screen on the server-side display unit 30 and is limited to the scope of the granted access rights. The level of access rights can be distinguished by the login ID used when accessing the server from the terminal unit 1. For example, if a hunter accesses from the terminal unit 1 with a hunter's login ID, capture information will be displayed on the wildlife management dashboard, but sighting information may not be displayed depending on the contract terms, etc. In this way, the items displayed change according to the access rights.

[0043] The wildlife management map screen shown in Figure 2 comprises an image display area 31 for displaying a map and an information display area 32 for displaying various information. On the map displayed in the image display area 31, information icons 33 are displayed at the locations and corresponding parts of the area containing wildlife information. Each information icon 33 indicates wildlife sighting information or wildlife capture information for the corresponding location on the map, respectively.

[0044] Wildlife information, such as sightings and captures, may include longitude and latitude in its location data. Especially in mountainous areas outside of urban areas, where addresses are not defined, the location can be accurately determined using latitude and longitude information obtained via GPS or similar means. For example, by including latitude and longitude in sighting and capture location information, the server-side calculation unit 10 can assign these locations to specific regional areas. This allows the locations of collected sightings and captures to be accurately represented on a map.

[0045] Information icon 33 may have different designs for animal sightings and animal captures. In the examples in Figures 2 to 8, the design for sightings is displayed according to the type of animal captured. For example, a monkey sighting is shown with a monkey-shaped icon, a wild boar sighting with a wild boar-shaped icon, a raccoon dog sighting with a raccoon dog-shaped icon, and a bear sighting with a bear-shaped icon. This makes it easy to visually grasp at a glance where the animal species was sighted. An example of animal species displayed as icons is shown in Figure 9. The color and design of the icons may also be changed according to the sex of the animal and whether it is an adult or a juvenile. In the examples in Figures 2 to 8, female monkeys are displayed in red, male monkeys in black, and juvenile monkeys in gray. If the type of animal is unknown, it may be displayed with an icon such as "!" or "?". For example, animals of unknown species, such as large dogs or larger, can be displayed with a "!" to draw attention, while small animals smaller than puppies (such as raccoons or civets) can be displayed with a "?".

[0046] Furthermore, in the examples of Figures 2 to 8, information on the capture of birds and animals is displayed as a balloon-shaped information icon 33. The balloon-shaped information icon 33 may be displayed with different colors and shapes depending on the capture information. In the examples of Figures 2 to 8, the balloon is red when birds or animals have been captured in the trap, blue when birds or animals have not been captured in the trap, and yellow when the trap is not functioning for any reason. (Screenshot of witnesses and victims)

[0047] The above describes an example of the wildlife management map screen. As mentioned above, the wildlife management dashboard allows you to switch between the wildlife management map screen, sensor performance screen, hunting / capture screen, sighting / damage screen, trap management screen, and notification screen by selecting the display switching button 41 located in the upper right corner of the screen. The sighting / damage screen 250 allows you to input and view sighting and damage information. An example of the sighting / damage screen 250 is shown in Figure 10. The sighting / damage screen 250 shown in this figure is an example of displaying details of sighting information. Here, it has a contact date and time display field 251, a location display field 252, a map display field 255, a category display field 256, a wildlife type display field 257, a damage information display field 258, a damage details display field 259, a summary display field 260, a consultant display field 261, a contact information display field 262, and an edit button 263. From this sighting / damage screen 250, you can check the details of the entered sighting and damage information. (New sighting report registration screen 270)

[0048] Here, we will explain an example of entering, modifying, or deleting sighting and damage information from the sighting / damage screen. In the sighting / damage screen 250 in Figure 10, pressing the edit button 263 displays the new sighting information registration screen 270 in Figure 11. The new sighting information registration screen 270 includes fields for contact date and time input 271, location input 272, icon selection 273, icon color setting 274, map specification 275, category input 276, animal / bird type input 277, damage information input 278, damage details input 279, summary input 280, contact person input 281, contact information input 282, update button 283, and delete button 284. From this new sighting information registration screen 270, the user can enter sighting and damage information via the terminal unit 1, etc. They can also modify or delete already entered sighting and damage information. Note that some items may be automatically filled with initial values ​​by default. Also, fields for which there is no information to enter or no photos should be left blank as appropriate.

[0049] The contact date and time input field 271 is for entering the date and time when the animal was sighted. It may be possible to have the current date and time pre-filled by default, allowing the user to manually change it as needed.

[0050] The location input field 272 is for entering the location where the bird or animal was sighted, i.e., the sighting location information. In addition to entering an address in text, it is also possible to specify the location on a map. For this reason, the location input field 272 has a map specification field 275. Alternatively, the current location of terminal unit 1 may be detected and entered by default using GPS location information, and the user may be able to change it manually as needed. The sighting location information can also be in the form of longitude and latitude.

[0051] Furthermore, the system may allow users to input photographic data they have captured. In this case, the system may be configured to automatically input location information, such as EXIF ​​data, into the location input field, by reading the location information from the EXIF ​​data included in the photographic data. Additionally, the system may be configured to analyze images of birds and animals in the photographic data and automatically input the bird / animal type input field 277, the icon selection field 273, etc. For example, a pre-trained AI could automatically determine the bird / animal type, and the determined result could be transferred to the bird / animal type input field as the default value. Alternatively, the user could check the determination result and manually correct it if it is incorrect.

[0052] In the category input field 276, the user specifies the category of the location where the sighting occurred. For example, categories such as "urban area / residential area," mountainous area, field, river, swamp, or moat can be selected from the pull-down menu.

[0053] In the bird / animal type input field 277, the user enters the type of bird or animal they have seen in text. Alternatively, multiple options may be presented, allowing the user to select one.

[0054] In the icon selection field 273, the user selects the shape of the icon that will be displayed at the corresponding location on the map within the image display area. Multiple icons, each modeled after the shape of a bird or animal, are pre-prepared according to the type of bird or animal, and the user is allowed to select one. The user manually selects the icon corresponding to the bird or animal entered in the bird or animal type input field 277 in the icon selection field 273. Alternatively, the system may be configured to automatically select an appropriate icon and input it into the icon selection field 273 based on the bird or animal selected in the bird or animal type input field 277. Or, conversely, the system may be configured to automatically input the type of bird or animal corresponding to the icon selected in the icon selection field 273 into the bird or animal type input field 277.

[0055] Icon color setting field 274 is for setting the color of the icon selected in icon selection field 273.

[0056] The damage information input field 278 is for entering whether the information is eyewitnessed or actual damage, and the type of damage. For example, it can be used to input information such as eyewitnessed activity, contact with a vehicle, injury, or damage to crops. Alternatively, multiple options may be presented, allowing the user to select one.

[0057] The damage details input field 279 is for entering the nature and extent of the damage. For example, it can be used to enter details such as damage to the living environment, fences, greenhouses, and the type of crops affected. Alternatively, multiple options may be presented, allowing the user to select one.

[0058] The summary input field 280 is a free-form field where you can comment on the situation and countermeasures, for example, "Two animals sighted; patrol conducted." A separate field for entering the number of animals may also be provided.

[0059] In the "Consultant Input Field 281," enter the name of the person who received the consultation. For example, enter a municipal official, a hunting association member, or a police officer.

[0060] Enter your contact information in the contact information input field 282. For example, enter your phone number or abbreviated address.

[0061] Once the input on the new sighting information registration screen 270 is complete, pressing the "Update" button 283 registers the entered sighting information to the server and saves it to the server-side storage unit 40. Similarly, changes and deletions of registered target information can also be performed from the new sighting information registration screen 270. For example, pressing the delete button 284 deletes the entered sighting information.

[0062] Figure 12 shows an example of displaying the sighting information screen by switching the switching tab 42 displayed in the information display area 32 of the display screen such as Figure 2 to the sighting information tab. On the sighting information screen, information icons 33 are displayed at the locations where sightings have been reported on the map displayed in the image display area 31. In addition, a list of sightings is displayed as a sighting information table 35 in the information display area 32. Here, sighting information of birds and animals and information on damage to crops, etc., caused by birds and animals are displayed together as sighting / damage information. This allows for unified management of bird and animal sightings and damage, and improves visibility. However, this disclosure is not limited to this configuration, and sighting information and damage information may be displayed separately.

[0063] On the map displayed in the image display area 31, hovering the cursor over or clicking an information icon 33 displays the corresponding animal information in a pop-up window 34, as shown in Figure 12. The pop-up window 34 displays a summary of the animal information. If a photograph is available, a reduced version of the photograph is displayed within the pop-up window 34. In the example in Figure 12, for sighting information, the date of the sighting report, the address or latitude and longitude of the location, and the type of animal are displayed. For capture information, the date the animal was captured, the location and trap number, and the type of animal are displayed.

[0064] Furthermore, clicking on the sighting or capture information pop-up window 34, or clicking on "Details" 201 within the pop-up window 34, displays the sighting / damage screen. The sighting / damage screen looks like Figure 10 mentioned above. Here, the display switching button 41 switches from the wildlife management map to the sighting / damage screen, making it easier for the user to understand that the currently displayed screen is the sighting / damage screen and not the wildlife management map screen.

[0065] Furthermore, in addition to displaying a map, the image display area 31 may also be switched to display satellite images or aerial photographs. For example, a map display switching unit 39 can be provided on the image display area 31 to allow switching between map display and photograph display. The map display switching unit 39 is displayed as a switching button in the upper left of the image display area 31, for example, in Figures 2 to 8. The display switching unit is not limited to this, and known configurations such as a pull-down menu format can be used as appropriate. (Mesh display)

[0066] Furthermore, the display on the server-side display unit 30 can also be displayed as a specific area corresponding to a specific section. An example of such display using specific sections is to represent a specific section using mesh data in accordance with the GIS (Geographic Information System) provided by the Geospatial Information Authority of Japan. This makes it possible to calculate and display the risk of encountering birds and animals based on the mesh recommended by Japan. An example of this is shown in Figure 13.

[0067] In the mesh display of the server-side display unit 30 shown in Figure 13, the map is displayed as mesh data in the image display area 31. Depending on the size of the mesh MS, there are primary meshes, secondary meshes, tertiary meshes, etc. The server-side display unit 30 may be configured to change the size of the mesh MS as needed. For example, the server-side display unit 30 may be provided with a display switching unit that can switch between mesh display and map display. The display switching unit can utilize known selectable configurations as appropriate, such as providing buttons to select mesh display or map display, or a configuration in which mesh display and map display can be selected from a pull-down menu. This makes it possible to easily switch between mesh display and standard map display. For example, the example in Figure 13 shows a tertiary mesh MS3, and the example in Figure 14 shows an example where it has been switched to display a secondary mesh MS2. In this way, the area covered by each mesh in the mesh display can be made variable, making it possible to adjust the display according to the desired level of granularity.

[0068] Each mesh data is distinguished by a uniquely assigned regional mesh code. The regional mesh code may also be displayed for each mesh. In the example in Figure 14, the regional mesh code MC assigned to each mesh is displayed overlaid. The display and hiding of the regional mesh code MC may be toggleable. (Colored mesh display)

[0069] Furthermore, meshes may be color-coded according to the number of birds and animals captured or their estimated population within each mesh. In the example in Figure 13, when the number of birds and animals in a mesh exceeds a predetermined threshold, the corresponding mesh MSR is colored red. This configuration makes it possible to visually identify areas with a high risk of encountering birds and animals. Meshes with fewer birds and animals than the predetermined threshold, or for which no data is available, are not colored, making it easier to visually distinguish the risk of encountering birds and animals by color coding. In addition, instead of simply choosing between coloring or not coloring, meshes may be divided into three or more categories based on the number of birds and animals, and each category may be colored with a different color. For example, by displaying meshes with a particularly high encounter risk in red, meshes with an intermediate encounter risk in light red, and meshes with a low encounter risk uncolored, a gradient display can be used to enable more detailed distinctions.

[0070] Furthermore, the mesh coloring can be done for each type of bird or animal. For example, by selecting a type of bird or animal, the corresponding type of bird or animal will be colored, and when the type of bird or animal is switched, the coloring of the mesh displayed in the image display area 31 will also be switched accordingly. Alternatively, the mesh may be colored based on the total number of all birds and animals.

[0071] The number of birds and animals captured and the estimated population size included in each mesh are obtained from the "Wildlife Protection and Management Report" provided by the Ministry of the Environment, prefectural statistical data, and national land numerical information provided by the Ministry of Land, Infrastructure, Transport and Tourism. However, since this raw data is often inaccurate, instead of using the provided number of birds and animals as is, the server-side calculation unit 10 corrects it as described above, and then the mesh is color-coded according to the corrected encounter risk for each bird and animal, thereby providing a more accurate encounter risk.

[0072] Alternatively, the number of birds and animals per mesh can be displayed in a table format. In the example in Figure 14, a mesh-specific list table 37, showing the number of birds and animals by species for each regional mesh code, is overlaid on the image display area 31. Such a list display allows users to understand, in concrete numbers, how many of each bird and animal species are found in each mesh.

[0073] Furthermore, the server-side calculation unit 10 may be configured to calculate the encounter risk for each animal species using the sighting and capture information included in each mesh, based on the population count for each animal species provided on a mesh-by-mesh basis. This allows for accuracy improvement by correcting the encounter risk by adding or subtracting the sighting and capture information of animals and birds from the initial population count for each mesh. The population count can be calculated, for example, by adding the number of sightings obtained from the sighting information and the number of captures obtained from the capture information.

[0074] The server-side display unit 30 may also display, for each mesh, whether the current encounter risk has increased or decreased compared to past encounter risks, broken down by animal species. Similarly, instead of encounter risk, the population count for each animal species, or for multiple animals combined, may be displayed in comparison to past population counts. For example, in the example shown in Figure 15, upward arrows are superimposed on meshes where the animal population has increased compared to the previous year, and downward arrows are superimposed on meshes where it has decreased.

[0075] Furthermore, the mesh may be colored according to the population size and encounter risk. In addition, the color and density of the mesh may be changed according to the population size and encounter risk when compared with the past. For example, meshes with a large population size may be displayed in a dark color, and the color may become lighter as the population size decreases, creating a gradient similar to a heatmap. In the example in Figure 15, in addition to arrows indicating the increase or decrease from the past, the mesh is colored according to the population size. Here, the population size is divided into groups of 5, and the mesh is colored in four patterns: transparent for 0 to less than 5 individuals, light red for 5 to less than 10 individuals, medium red for 10 to less than 15 individuals, and dark red for 15 or more individuals. The number of individuals and coloring patterns can be changed as needed.

[0076] It is also possible to select a species of animal and display it accordingly. For example, by selecting a species from the display switching screen 180 as shown in Figure 16, the coloring pattern of the map's mesh display can be switched. In addition to selecting a specific species, it is also possible to display the combined total of multiple species. In this case, the number of color divisions may be increased. For example, the mesh may be colored in increments of 20 animals instead of 5. The divisions may be changed depending on the type of pest animal. Furthermore, the mesh color may differ depending on the species of animal. Alternatively, meshes showing an increasing trend in population or encounter risk compared to the past may be displayed in red, and meshes showing a decrease may be displayed in blue, for example. These displays can be switched to the appropriate content by selecting a species of animal. In addition, clicking on a specific mesh, or hovering the cursor over it, may display the estimated number of animals for each species. For example, a pop-up window may display the estimated number of birds and animals present in the selected mesh, such as 50 wild boars and 35 Japanese deer. Also, as shown in Figure 16, the displayed data may be switchable by year or month. Alternatively, it may be possible to specify an arbitrary period for display. For example, you can specify a period in years, months, or days, such as from [Year] [Month] [Day] to [Year] [Month] [Day]. In this way, you can comprehensively understand on a map whether the encounter risk has increased or decreased for each animal species. (Heatmap display)

[0077] Furthermore, as shown in Figure 17, instead of displaying sighting information with information icons 33, it is also possible to display it with a heatmap HM. In the heatmap display, areas with many sightings are displayed in red, and as the number decreases, they are displayed in yellow or green, making it easier to visually recognize the density through a color gradient. To enable this display switching, for example, a heatmap display switching button 38 can be provided on the image display area 31 to switch between icon display and heatmap display. (Details display function)

[0078] In addition to displaying information on maps and meshes, it is also possible to display detailed information such as capture information and traps. For example, in the sighting information screen in Figure 12, the map is displayed in the image display area 31 on the left, and the sighting information table 35 is displayed in the information display area 32 on the right, but these can also be enlarged individually. For example, Figure 18 shows an example where the sighting information table 35 is enlarged. This allows the sighting information table 35 to be displayed in a wider area, improving visibility. Similarly, as shown in Figure 19, only the map can be enlarged. Furthermore, these detailed displays can be shown in a separate window or screen from the image display area 31. As an example, Figure 20 shows an example of the trap list screen 60.

[0079] Furthermore, such displays are not limited to the server-side display unit 30, but may also be displayed on the terminal unit 1. For example, when the terminal unit 1 accesses a specific URL, the server-side rendering is sent to the terminal so that it can display the same content as the server-side display unit 30. In addition to displaying the same content, the display may also be restricted to specific information only. For example, access information such as an ID and password can be provided to pre-registered general users, and they can be allowed to view sighting and capture information. In this case, by granting access rights to users who report sightings, an incentive is given for users who want to know about bird and animal sightings, etc., that they will be able to view the information if they report a sighting, thereby promoting the reporting of sightings.

[0080] As an example, Figure 12 shows the display screen viewable by local governments, and Figure 21 shows the display screen viewable by the general public. Here, local governments are the contractors of the wildlife risk management system, and the general public are residents of the local government who report sightings or hunters who report capture information. In the display screen of Figure 12, all information is displayed, just like on the server side. In contrast, in the display screen of Figure 21, some of the information from the display screen of Figure 12 is hidden. For example, regarding the display switching button 41, everything is displayed in Figure 12, while in Figure 21 only the wildlife management map screen, sighting / damage screen, and notification screen are displayed, and the other screens are hidden. Similarly, regarding the switching tab 42 on the wildlife management map screen, everything is displayed in Figure 12, while in Figure 21 only the notification tab and sighting information tab are displayed, and the other tabs are hidden. In this way, the content of the display screen differs depending on the user's authority to access the wildlife risk management system.

[0081] Furthermore, while general users may only be allowed to view sighting and capture information, users involved in wildlife capture, such as hunting associations, may be granted the authority to view and edit detailed information on captures. Government officials may also be granted the authority to access all information, even from terminal unit 1.

[0082] Sighting and capture information is sent from terminal unit 1 to the server unit. To send sighting and capture information from their own terminal unit 1 to the server unit, a user can, for example, access a specific URL provided by the server unit and record the necessary information. Alternatively, they may use a sighting reporting application or a capture information reporting application. The application may be installed on terminal unit 1, or it may be a web application, etc. Alternatively, the information can be entered into a dedicated form and sent to the server unit via email or SMS. Alternatively, the input is not limited to terminal unit 1, but the server unit may also input sighting and capture information. For example, sighting and capture information from users can be received by phone or email, and the obtained information can be manually entered into the server unit. (Screen 210 displaying eyewitness / damage information)

[0083] Figures 10 to 12 above illustrate examples of screens used by server administrators, such as local governments, to view, input, and edit sighting information. Here, we will explain screens used by general users to view, input, and edit target information from their own terminals, such as terminal 1, based on Figures 21, 22, and 23. Figure 21 shows the wildlife management map of the wildlife management dashboard, which is accessible to the general public. Clicking "Details" 201 in the pop-up window 34, which is overlaid on the information icon 33 on the map displayed in the image display area 31 of this figure, displays the sighting / damage information display screen 210 shown in Figure 22. On the sighting / damage information display screen 210, detailed information such as sighting / damage information 211, on-site photos 212, and public status 213 can be viewed. In the example in Figure 22, the sighting / damage information 211 displays the date and time of the report, location, map, type of wildlife, name, damage, damaged crops, and other details.

[0084] It is also possible to edit sighting and damage information. For example, in the sighting / damage information display screen 210 in Figure 22, pressing the "Edit" button 214 provided for sighting / damage information 211 displays the sighting / damage information editing screen 240 shown in Figure 23. In the sighting / damage information editing screen 240, you can edit the entered sighting and damage information. Here, almost the same items as the sighting information new registration screen 270 in Figure 11 described above are arranged. Specifically, it has a contact date and time input field 271, a location input field 272, an icon selection field 273, an icon color setting field 274, a map specification field 275, a bird / animal type input field 277, a name input field 285, a damage details input field 279, a damaged crop input field 286, a content input field 287, and a save button 288. Similarly, in the sighting / damage information display screen 210 in Figure 22, pressing the "Edit" button provided for on-site photos 212 and publication status 213 respectively will allow you to change this information as needed. The user enters information into each input field. Some fields may be automatically populated with default values. Fields for which there is no information or photos to enter should be left blank as appropriate.

[0085] The contact date and time input field 271 is for entering the date and time when the animal was sighted. It may be possible to have the current date and time pre-filled by default, allowing the user to manually change it as needed.

[0086] The location input field 272 is for entering the location where the bird or animal was sighted, i.e., the sighting location information. In addition to entering an address in text, it is also possible to specify the location on a map. For this reason, the location input field 272 has a map specification field 275. Alternatively, the current location of the terminal unit 1 may be detected by GPS location information and transferred to the location input field 272 by default, allowing the user to manually change it as needed. The sighting location information can also be in the form of longitude and latitude.

[0087] Field photo 212 is a field for users to attach photos of birds and animals they have taken. Users specify the photos they have taken. The attached photos are then displayed in a reduced size in the sighting photo input field 78.

[0088] Furthermore, the photographs may include not only images of the animals themselves, but also photographs showing traces of the animals, such as footprints, fur, and droppings. By registering such information indicating the presence of animals as sighting location information, the accuracy of calculating the risk of encountering animals can be improved. In particular, in cold regions such as Tohoku, damage from animals has traditionally been mainly caused by bears, but due to recent global warming, damage from wild boars and deer is tending to increase. Since the damage to crops grown in fields and other areas is particularly severe, creating an environment that makes it easier to collect photographs showing traces of animals will allow for a more accurate understanding of animal distribution, and based on this, it will be easier to take countermeasures such as setting traps and providing information to fishermen, thereby curbing the spread of damage.

[0089] For capturing still images, users may use mobile devices such as smartphones, or fixed cameras installed in fields or other locations. Video cameras may also be installed to capture moving images. These permanently installed cameras can be equipped with communication capabilities using public networks via SIM cards, allowing them to transmit captured still and moving images to a server. By analyzing still and moving images periodically captured by these cameras on the server, the habitat of birds and animals can be assessed. It also becomes possible to analyze whether crop damage is caused by birds or animals. For example, the way crops are fallen can be used to determine whether they were knocked down by wind and rain or damaged by birds or animals. Similarly, changes in crop color can be used to determine whether damage is caused by birds or animals, or by pests or diseases. These determinations can be made manually or automatically. For instance, AI can analyze photos of damaged crops to determine whether the damage was caused by birds or animals, or by other causes such as natural disasters like thunderstorms, hailstorms, or wind, or by pests and diseases, and then display the results. In this way, it can also be used to identify the causes of damage to crops.

[0090] Furthermore, it is preferable to install such fixed cameras at a high position. It is also preferable to use wide-angle lenses. These allow for capturing a wider area and making it easier to get an overview of the field's condition. Similarly, when users take images with mobile devices such as smartphones or digital cameras, it is preferable to use a selfie stick or similar device to take images from a higher starting point.

[0091] In the bird / animal type input field 277, the user enters the type of bird / animal they have sighted in text. Alternatively, multiple options may be presented for the user to select. Furthermore, the system may automatically determine the bird / animal type from the photograph entered in the field photograph field 212. For example, a pre-trained AI could automatically determine the bird / animal type and input it into the bird / animal type input field. The user can also review the determination result and manually correct it if it is incorrect.

[0092] The damage details input field 279 is for entering details of the damage received. For example, users can enter information such as whether they witnessed the incident, were hit by a vehicle, sustained injuries, or suffered damage to crops. Alternatively, multiple options may be presented, allowing the user to select one.

[0093] Field 286 for inputting damaged crops is for entering the type of crop that has been damaged. Leave this field blank if no crops have been damaged.

[0094] Content input field 287 is a free-form input field where you can comment on the situation, for example, "I saw two monkeys." Alternatively, you may provide a separate field for entering the number of animals or birds. (Eyewitness / Victim Information Editing Screen 240)

[0095] In this way, sighting and damage information entered and updated from the sighting / damage information editing screen 240 in Figure 23 is registered on the server and stored in the server-side storage unit 40. The sighting / damage information editing screen 240 shown in Figure 22 is also updated based on the registered or updated information. The sighting / damage information editing screen 240 shown in Figure 22 will now be explained. The sighting / damage information editing screen 240 shown in this figure includes a sighting date and time display field 71, a sighting location display field 72, a map display area 73, a bird / animal type display field 74, a name display field 79, a damage details display field 75, a damaged crop display field 76, a sighting details display field 77, and a sighting photo display field 78. Information entered by the user from the sighting / damage information editing screen 240 in Figure 23 is displayed in each of these display fields. For example, the date and time of sighting displayed in the date and time of contact input field 271 will display the date and time entered in the date and time of contact input field 271, the location of sighting displayed in the location of sighting displayed in the location input field 272 will display the location information specified in the map specification field 275, the type of bird or animal displayed in the bird or animal species displayed in the bird or animal species input field 277 will display the type of bird or animal entered in the bird or animal species input field 277, the name displayed in the name displayed in the name input field 285 will display the type of name entered in the name input field 285, the damage details displayed in the damage details displayed in the damage details input field 279 will display the damage details entered in the damage details input field 279 will display the damaged crops displayed in the crop damage input field 286 will display the crop damage details entered in the crop damage input field 286 will display the crop damage details displayed in the sighting details displayed in the details input field 287, and the photo of the sighting displayed in the photo of the site 212 will display the photo entered in the site photo field 78. (Capture information input screen 80)

[0096] Next, we will explain the procedure for entering capture information. Here, we will explain an example in which a user, such as a hunter, operates and enters information using their own mobile device, such as a smartphone, as terminal unit 1. First, when the user logs in to the wildlife risk management system 100 from terminal unit 1, the hunter login screen 220 shown in Figure 24 is displayed. From this hunter login screen 220, pressing the "Submit New Report" button 221 will take you to the capture information input screen 80 shown in Figure 25. From this screen, you enter the capture information. The capture information input screen 80 includes a capture photo input field 81, a capture date and time input field 82, a capture day input field 83, a capture location input field 84, a capture animal species input field 85, a capture growth input field 86, a capture sex input field 87, a capture weight input field 88, a capture body length input field 89, a capture specimen input field 90, a capturer input field 91, a capture method input field 92, an exterminator input field 93, an exterminator input field 94, a processor input field 95, a processing method input field 96, and a remarks field 97. The user will similarly enter information into each of these input fields. Some fields may be automatically populated with default values. Fields for which there is no information or photos to enter should be left blank as appropriate.

[0097] The Capture Photo Input Field 81 is for attaching image data, in this case, a photograph of a bird or animal captured by the user. The user specifies the photographic data they have taken. It is also advisable to write the date of capture directly on the bird or animal using spray paint or a pen before taking the photograph.

[0098] Furthermore, it is preferable that the photograph includes a piece of paper of a predetermined size. For example, a standardized size such as A4 is preferable. This photograph can be sent to the server for analysis, and the length of the bird or animal can be estimated based on the predetermined size of the paper. For example, the server-side calculation unit 10 estimates the length of the bird or animal based on the predetermined size of paper included in the image data received by the server-side communication unit 20. By including an object of a reference size in the image data in this way, the accuracy of determining the length of the bird or animal can be improved.

[0099] When photo data is specified in the capture photo input field 81, the photo data is uploaded to the server and a reduced image is displayed, as shown in Figure 26. If the "AI Analysis" button 98 is pressed in this state, the server performs analysis of the photo data. Here, the location information registered in the photo data is acquired, and the display in the capture location input field 84 is automatically entered or updated. An example of such a screen is shown in Figure 27. Furthermore, the system may be configured to automatically identify and input the animal species and number through AI analysis. It may also be configured to estimate the sex, length, and weight of the animals. These are achieved by a pre-trained AI.

[0100] The capture date and time input field 82 is for entering the date and time when the animal was captured. Similar to the sighting date and time input field 71, the current date and time may be entered by default, allowing the user to manually change it as needed.

[0101] The capture day input field 83 is for entering the time elapsed from setting the trap until the animal was captured.

[0102] The capture location input field 84 is for entering the location where the bird or animal was captured, i.e., the capture location information. Similarly, you can enter the address in text, or you can specify it on a map. The capture location information can also be expressed using longitude and latitude.

[0103] Furthermore, location information obtained from GPS or the like may be used in the terminal unit 1 for inputting capture information. For example, as described above, by inputting photographic data captured by the smartphone in the terminal unit 1 into the capture photo input field 81, the location information of the image captured in the photographic data may be automatically transferred to the capture location input field 84. Preferably, the latitude and longitude contained in the EXIF ​​information of the photographic data are obtained and automatically entered into the capture location input field 84. This improves convenience as the user can automatically obtain capture location information by taking a photograph of a trap, etc., and can also input capture location information by uploading this photographic data. Similarly, when inputting the target information described above, by taking a photograph of a bird or animal, the location information of the image captured in the photographic data can be used to obtain and input sighting location information, saving time and improving convenience. (Automatic route generation function)

[0104] Especially when there are many traps, users may forget where they were placed. However, by using photo data, users can automatically register the trap locations by taking and uploading photos, making it easy to check the location of each trap later without having to memorize it. Furthermore, it becomes possible to automatically calculate the optimal patrol route from the location of each trap. An example of this is shown in Figure 28. In recent years, with the aging of hunters, the locations of many traps may be forgotten or overlooked. By recording capture location information in the system, it is possible to prevent reliance on individuals, eliminate forgetting or overlooking locations, and establish a reliable management system.

[0105] In the Captured Animal Species Input Field 85, the user enters the type of bird or animal they have captured in text. Alternatively, multiple options may be presented for the user to select from. Furthermore, the system may automatically determine the type of bird or animal from the photograph entered in the Captured Animal Photo Input Field 81.

[0106] The capture and rearing input field 86 is for entering whether the captured bird or animal is a juvenile or an adult. Alternatively, the user may be presented with options for juvenile or adult, allowing them to select one.

[0107] The capture sex input field 87 is for entering the sex of the captured bird or animal. You may also provide options for male or female and allow the user to select one.

[0108] The capture weight input field 88 is for entering the weight of the captured bird or animal. The user enters the weight they have measured themselves as a numerical value. Alternatively, the user may estimate the weight from a photograph.

[0109] The capture length input field 89 is for entering the length of the captured bird or animal. The user enters the length they measured themselves as a numerical value. Alternatively, the user may estimate the length from a photograph.

[0110] Field 90 for inputting captured specimens is for entering whether or not specimens exist from captured birds and animals. This is used to input whether or not specimens exist for infectious disease testing as part of surveys based on the Wildlife Protection and Management Plan and the Infectious Disease Prevention Law. Specifically, specimens are used to test for viruses, bacteria, and parasites to check for the presence of infectious diseases such as swine fever, avian influenza, and rabies. Furthermore, in the case of "swine fever virus testing in wild boars," environmental pollution, environmental surveys at nuclear power plants, and radioactivity testing can also be performed.

[0111] The Capturer Input Field 91 is for entering the name of the person who captured the animal. The user should enter their own name, or the name of another person who captured the animal, if applicable.

[0112] The capture method input field 92 is for entering the method used to capture birds and animals. For example, enter the type of trap used, such as snare trap, box trap, firearm, enclosure trap, or other.

[0113] Field 93 for inputting the name of the person who exterminated the birds and animals is for entering the name of the person who exterminated them.

[0114] Field 94 for inputting the method of extermination is for entering how the birds and animals were exterminated. For example, if the animals were killed by shooting with a hunting rifle, select "firearm". Other options include drowning, electric stun, and others.

[0115] The "Processor Input Field 95" is for entering the name of the person who processed the wild animal. It is provided to distinguish this person from the person who captured or exterminated the animal, as their name may differ from those of the person who carried out the extermination.

[0116] The processing method input field 96 is for entering the method used to process the animals. For example, you can enter whether they were buried or incinerated.

[0117] Remarks field 97 is a field for users to enter remarks as text, if necessary.

[0118] In this way, sighting information entered from the sighting / damage information editing screen 240 and capture information entered from the capture information input screen 80 are sent to the server-side storage unit 40 on the server side and saved. On the server side display unit, the capture information screen 150 shown in Figure 29 is displayed. To check the saved capture information on this capture information screen 150, click the "Move to detailed information screen" button 151. This switches to the capture information viewing screen 130 shown in Figure 30, where the information is displayed in a list. The capture information viewing screen 130 provides, for each piece of capture information individually entered from the capture information input screen 80, a capture photo display field 131, a capture date and time display field 132, a capture day display field 133, a capture location display field 134, a capture animal species display field 135, a capture growth display field 136, a capture sex display field 137, a capture weight display field 138, a capture body length display field 139, a capture specimen display field 140, a capture person display field 141, a capture method display field 142, an exterminator display field 143, an exterminator display field 144, a processor display field 145, a processing method display field 146, and an "individual approval" button 147.

[0119] The Capture Photo Display Area 81 is a field for displaying photographs of birds and animals captured by the user. The image data sent by the user is displayed in a reduced size in the Capture Photo Display Area 81.

[0120] The server can also individually approve capture information reported by capturers. For example, pressing the "Individual Approval" button 147 on the capture information viewing screen 130 in Figure 30 displays the individual approval screen 110 in Figure 31, allowing the server to individually approve the relevant case reported by the capturer. Specifically, the server specifies whether to approve or deny the capture using the approval / denial selection field 111. Here, the server selects either approval or denial from a pull-down menu. The server can also enter the reason for denial as text in the denial reason input field 112. After making a selection or entering information, pressing the "Save" button 113 updates the capture information and saves it to the database. (Capture report creation function)

[0121] The wildlife risk management system 1000 may also include a function to automatically create capture reports for submission to government offices, etc., based on capture information. For example, clicking "Forms" 191 on the capture information list screen 190 shown in Figure 32 displays the capture report creation screen 120 shown in Figure 33. On the capture report creation screen 120, each item is entered based on the information entered from the capture information input screen 80, according to the format prescribed by the government office to which the report will be submitted, from among several pre-registered capture report formats, and the automatically created capture report is displayed in the viewer area 121. The user checks the capture report displayed in the viewer area 121, and if necessary, returns to the original capture information input screen 80 to correct or add information. If there are no problems, pressing the "Print" button 122 prints the capture report 160 shown in Figure 34. In the example in Figure 34, the recipient is automatically added, the necessary information is listed in a table format, and images of photographs of the captured wildlife are attached. The capture report printed in this way can be submitted to government offices on paper. It can also be saved in a designated format such as PDF and attached to an email, or uploaded to the government office's designated submission site. This offers the advantage of streamlining the cumbersome process of creating capture reports. (Encounter risk display function)

[0122] The wildlife risk management system 1000 calculates the risk of encountering wildlife based on collected wildlife information such as sightings and capture data, and displays it on the server-side display unit 30. For example, as shown in Figure 13, areas with a high risk of encounter are displayed on the map, colored red.

[0123] Furthermore, if the capture information includes the period until the animal is caught in the trap, the server-side calculation unit 10 may increase or decrease the encounter risk for each animal species in each region, such that the shorter the period until the animal is caught in the trap, the higher the encounter risk of that animal. The accuracy of the encounter risk can be improved by correcting the system so that the shorter the period from setting the trap to actually capturing an animal, the more animals are assumed to be present and the higher the encounter risk is determined.

[0124] Furthermore, the server-side calculation unit 10 may increase or decrease the encounter risk for each animal species in each region so that the encounter risk of birds and animals with many sightings increases. Furthermore, the server-side calculation unit 10 may increase or decrease the encounter risk for each animal species in each region so that the encounter risk of birds and animals with many captures decreases. In this way, by taking into account not only the number of sightings but also the number of captures of birds and animals, and correcting so that the more captures there are, the fewer birds there are and the lower the encounter risk, the accuracy of the encounter risk can be improved. In other words, conventionally, it was common to judge that birds and animals with many captures were abundant, but the inventors of this invention have found that by correcting the encounter risk from the opposite perspective—that the more birds and animals that are captured, the fewer they are and the lower the encounter risk—the accuracy of the encounter risk can be appropriately corrected. (Weather information)

[0125] On the other hand, the server-side calculation unit 10 may also take weather information into account when calculating the encounter risk. By calculating and calibrating the encounter risk by taking weather information into account in addition to sighting and capture information, even more accurate encounter risk calculations can be achieved. Examples of weather information include temperature, rainfall, snowfall, and the start date of snow accumulation. Furthermore, it is not limited to absolute values, but also includes relative information such as whether the monthly average temperature is higher or lower than average, or whether the amount of snow accumulation is higher or lower than average.

[0126] Weather information can be associated with specific wildlife. For example, regarding the risk of encountering bears, in years with early snowfall, bears tend to descend from the mountains to populated areas as their food sources become scarce sooner. Similarly, heavy snowfall reduces bears' food supply, also leading to a tendency for bears to descend to populated areas.

[0127] On the other hand, the risk of encountering deer is said to be more pronounced in warmer climates, as the deer breeding season begins and their summer migration becomes more active.

[0128] On the other hand, if there is little snowfall, there will be less snowmelt water, resulting in less water in the spring and a poor harvest the following year. As a result, food sources will decrease, and the risk of encountering wild animals will tend to increase. Conversely, if there is a lot of snowfall, the water volume will increase and the harvest will be good, so wild animals will not come down to the lowlands, and the risk of encountering them will decrease. From this, it can be seen that if there is little snowfall, the risk of encountering wild animals will tend to increase, so it is thought that the accuracy can be improved by increasing or decreasing the encounter risk according to the amount of snowfall.

[0129] Furthermore, the system may be configured to analyze the correlation between such weather information and the encounter risk for each animal species using AI, and to adjust the encounter risk according to the analysis results. For example, by associating weather information such as past temperature changes, snowfall amounts, and snowfall timing with the actual encounter risk for each animal species for each year and training the AI, it is possible to correct the encounter risk to match the actual situation in light of the weather information for that year, thereby improving the accuracy of the encounter risk. Such AI-based correction is performed in the server-side calculation unit 10. In addition to performing AI training in the server-side calculation unit 10, pre-trained data may be prepared separately, and the encounter risk may be corrected using this pre-trained data.

[0130] Thus, the wildlife risk management system may calculate and display not only the current encounter risk calculated from weather information, but also the future encounter risk. The future encounter risk is predicted from past weather information and the trend of actual encounter risks. The predicted encounter risk can be any period, such as tomorrow, 3 days from now, 1 week from now, or 1 month from now. For example, as shown in Figure 35, the current wildlife encounter risk is calculated for each mesh, and areas with particularly high risks are colored red and displayed. Blue indicates areas where wildlife damage information has been reported in the past month. Switching to the display of the encounter risk one week from now, as shown in Figure 36, meshes where the encounter risk is thought to have increased are shown in blue. (Warning part 14)

[0131] The server unit may also include a warning unit 14. The warning unit 14 is a component that issues a warning when the encounter risk calculated by the server-side calculation unit 10 exceeds a predetermined value. This allows for warnings that the encounter risk of a specific animal species is increasing in a particular area, thereby encouraging local residents and vehicles traveling nearby to take safety measures and contributing to the prevention of accidents caused by wildlife damage. The warning unit 14 may, for example, periodically send warning emails to pre-registered terminal units. Alternatively, it may be configured to send a warning email to all terminal units located in areas where the encounter risk is high. Or, announcements may be made via local government radio or speakers. Furthermore, it is also possible to use voice warnings to deter specific animals. In this way, effective operation can be achieved by utilizing existing equipment and using multiple means in combination.

[0132] Furthermore, the warning unit 14 can not only send emails but also make announcements via social media, etc. For example, it can be used to make announcements via LINE (product or service name). In addition to making warnings, social media can also be used to collect eyewitness information. For example, a user can send eyewitness information via LINE, which can then be collected on the server side and sent to registered users.

[0133] Furthermore, users who post eyewitness accounts may be offered an incentive. Such incentives could include various types of points, regional development vouchers, or gift certificates. (Analysis function)

[0134] Furthermore, the wildlife risk management system 1000 can also be equipped with an analysis function that analyzes data based on collected wildlife information such as sightings and capture information. For example, it can check and analyze the wildlife capture status for each region in real time and display it on the server-side display unit 30. Alternatively, the analysis results can be displayed on the server-side display unit 30 or output as a report. An example of the output screen for the analysis report 170 is shown in Figure 37. Here, a pie chart of wildlife captured this year by species, a line graph showing the monthly changes in the number of wildlife captured this year by species, and a bar graph showing the yearly changes in the number of wildlife captured by species are displayed. This allows for a visual understanding of the changes in how many of each species are being captured. However, Figure 37 is just one example, and the items displayed and the layout can be changed as needed. (Route suggestion function)

[0135] Furthermore, if a user sets up many traps, the system can be configured to automatically calculate and display the optimal route for checking these traps. For example, the server-side calculation unit 10 uses AI or the like to automatically calculate an efficient route based on the location information of the set traps and displays the route on a map. The user can then check the map on the terminal and patrol the traps along the indicated route, enabling efficient and thorough trap checks. (Capture location suggestion function)

[0136] Furthermore, based on past sighting and capture data, the system can estimate locations where birds and animals are likely to be captured and display them on a map. For example, areas with a high number of sightings and captures have a relatively higher risk of encountering birds and animals. Similarly, the server-side processing unit 10 uses AI to estimate locations where birds and animals are likely to be captured and displays them on the map. This can be used to suggest locations where traps are likely to be set or to guide fishermen, among other purposes. [Industrial applicability]

[0137] The wildlife risk management system, wildlife risk management device, wildlife risk management method, wildlife risk management program, computer-readable storage medium, and recorded equipment related to this disclosure can be suitably used as display devices, programs, warning transmitting / receiving devices, etc., that indicate the risk of encountering harmful animals such as wild boars, deer, monkeys, bears, crows, and pigeons that may damage crops or harm people. [Explanation of Symbols]

[0138] 1000...Wildlife Risk Management System 100…Wildlife risk management device 1…Terminal section 10…Server-side processing unit 11...Arithmetic circuit 12…Storage Circuit 14…Warning section 20…Server-side communication unit 30…Server-side display section 31…Image display area 32…Information display area 33…Information icon 34… Pop-up window 35…Eyewitness Information Table 37...List by Mesh Size 38…Heatmap display toggle button 39...Map display switching section 40…Server-side storage 41...Display switching button 42...Switch tab 60... Trap list screen 71…Display field for date and time of sighting 72... Location of sighting indicated 73…Map display area 74…Species of bird / animal displayed 75... Field for displaying details of damage 76…Damaged crops display field 77…Eyewitness account display field 78…Display section for eyewitness photos 79... Name display field 80... Capture Information Input Screen 81... Input field for captured photo 82... Capture date and time input field 83... Input field for number of days to capture 84... Input field for capture location 85... Input field for the type of animal captured 86...Capture and growth input field 87...Gender input field for capture 88... Input field for captured weight 89... Input field for captured body length 90... Input field for captured specimens 91...Capturer input field 92... Input field for capture method 93... Exterminator Input Field 94... Input field for extermination method 95...Processor input field 96... Processing method input field 97…Remarks column 98... "AI Analysis" button 110... Individual Approval Screen 111... Approval / Deny Selection Field 112... Input field for reason for denial 113... "Save" button 120... Capture Report Creation Screen 121... Viewer area 122... "Print" button 130... Capture Information Viewing Screen 131... Input field for captured photo 132... Input field for capture date and time 133... Input field for number of days captured 134... Input field for capture location 135... Input field for the type of animal captured 136...Capture and rearing input field 137...Gender input field for capture 138... Input field for captured weight 139... Input field for captured body length 140... Input field for captured specimens 141...Capturer input field 142... Input field for capture method 143... Exterminator input field 144... Input field for extermination method 145...Processor input field 146... Processing method input field 147... "Individual Approval" button 150... Capture Information Screen 151... "Move to detailed information screen" button 152... "Report" button 160… Capture Report 170…Analysis Report 180...Display switching screen 190... Capture Information List Screen 191... "Documents" 201…“Details” 210...Screen displaying eyewitness and damage information 211…Eyewitness / Victim Information 212... Local photos 213…Publication status 220...Hunter Login Screen 221... "Submit New Report" button 240...Eyewitness / Victim Information Editing Screen 250…Screenshots and victimization screens 251... Contact date and time display field 252...Location display field 255...Map display area 256...Category display field 257... Bird / Animal Species Display Field 258... Damage information display section 259... Field for displaying details of damage 260…Summary display field 261... Caller's Name Field 262... Contact information field 263... Edit button 270... New sighting information registration screen 271... Contact date and time input field 272... Location input field 273... Icon selection field 274… Icon color setting field 275... Map specification field 276...Category input field 277... Input field for bird / animal type 278... Victim information input field 279... Field for entering details of damage 280... Summary input field 281... Consultant input field 282... Contact information input field 283...Refresh button 284... Delete button 285... Name input field 286…Damaged crops input field 287...Content input field 288...Save button MS, MSR... Mesh MS3...Third-order mesh MS2...Secondary Mesh MC...Regional Mesh Code HM…Heatmap

Claims

1. A wildlife risk management system capable of displaying the risk of encountering wildlife based on wildlife sighting or capture information, Multiple terminal units for transmitting the aforementioned sighting information or capture information, A server-side communication unit capable of communicating with the plurality of terminal units via a network for receiving the sighting information or capture information transmitted by the plurality of terminal units, A server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit, A server-side display unit capable of overlaying the encounter risk for each region calculated by the server-side calculation unit onto a map including each region, for each corresponding region, A server section equipped with, It is equipped with, The aforementioned sighting information includes at least one of the following: the location where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted. The aforementioned capture information includes at least one of the following: the location where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The server-side calculation unit is configured to calculate the encounter risk for each animal species in a specific region, based on the sighting location information of the sighting information and the capture location information of the capture information. The aforementioned capture information includes the period from when a trap for capturing birds and animals is set until the birds and animals are caught in the trap. The server-side processing unit is: A wildlife risk management system configured to increase or decrease the encounter risk for each animal species in each region, such that the shorter the time from the capture information until the animal is caught in the trap, the higher the risk of encountering the animal.

2. A wildlife risk management system capable of displaying the risk of encountering wildlife based on wildlife sighting or capture information, Multiple terminal units for transmitting the aforementioned sighting information or capture information, A server-side communication unit capable of communicating with the plurality of terminal units via a network for receiving the sighting information or capture information transmitted by the plurality of terminal units, A server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit, A server-side display unit capable of overlaying the encounter risk for each region calculated by the server-side calculation unit onto a map including each region, for each corresponding region, A server section equipped with, It is equipped with, The aforementioned sighting information includes at least one of the following: the location where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted. The aforementioned capture information includes at least one of the following: the location where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The server-side calculation unit is configured to calculate the encounter risk for each animal species in a specific region, based on the sighting location information of the sighting information and the capture location information of the capture information. The server-side processing unit is: For birds and animals that have been frequently sighted, the risk of encountering such birds and animals will be increased. For birds and animals with a high volume of capture data, measures will be taken to reduce the risk of encountering such birds and animals. A wildlife risk management system configured to increase or decrease the aforementioned encounter risk for each animal species in each region.

3. A wildlife risk management system capable of displaying the risk of encountering wildlife based on wildlife sighting or capture information, Multiple terminal units for transmitting the aforementioned sighting information or capture information, A server-side communication unit capable of communicating with the plurality of terminal units via a network for receiving the sighting information or capture information transmitted by the plurality of terminal units, A server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit, A server-side display unit capable of overlaying the encounter risk for each region calculated by the server-side calculation unit onto a map including each region, for each corresponding region, A server section equipped with, It is equipped with, The aforementioned sighting information includes at least one of the following: the location where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted. The aforementioned capture information includes at least one of the following: the location where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The server-side calculation unit is configured to calculate the encounter risk for each animal species in a specific region, based on the sighting location information of the sighting information and the capture location information of the capture information. The aforementioned server-side calculation unit is configured to calculate the encounter risk taking weather information into consideration, thereby providing a wildlife risk management system.

4. A wildlife risk management system capable of displaying the risk of encountering wildlife based on wildlife sighting or capture information, Multiple terminal units for transmitting the aforementioned sighting information or capture information, A server-side communication unit capable of communicating with the plurality of terminal units via a network for receiving the sighting information or capture information transmitted by the plurality of terminal units, A server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit, A server-side display unit capable of overlaying the encounter risk for each region calculated by the server-side calculation unit onto a map including each region, for each corresponding region, A server section equipped with, It is equipped with, The aforementioned sighting information includes at least one of the following: the location where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted. The aforementioned capture information includes at least one of the following: the location where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The server-side calculation unit is configured to calculate the encounter risk for each animal species in a specific region, based on the sighting location information of the sighting information and the capture location information of the capture information. The server-side display unit is capable of displaying the specific area as a specific section corresponding to the specific region. The aforementioned specific parcel is a mesh that follows the GIS provided by the Geospatial Information Authority of Japan. The server-side calculation unit is configured to calculate the encounter risk for each animal species based on the number of animals and birds provided on a mesh-by-mesh basis, using the sighting information and capture information included in each mesh. The aforementioned server-side display unit is capable of displaying, for each mesh, whether the current encounter risk has increased or decreased compared to past encounter risks, for each type of animal, in order of the wildlife risk management system.

5. A wildlife risk management system according to claim 4, The aforementioned server-side display unit is capable of displaying, for each mesh, whether the current encounter risk has increased or decreased compared to past encounter risks, by different colors or up / down arrows, for each type of animal.

6. A wildlife risk management system capable of displaying the risk of encountering wildlife based on wildlife sighting or capture information, Multiple terminal units for transmitting the aforementioned sighting information or capture information, A server-side communication unit capable of communicating with the plurality of terminal units via a network for receiving the sighting information or capture information transmitted by the plurality of terminal units, A server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit, A server-side display unit capable of overlaying the encounter risk for each region calculated by the server-side calculation unit onto a map including each region, for each corresponding region, A server section equipped with, It is equipped with, The aforementioned sighting information includes at least one of the following: the location where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted. The aforementioned capture information includes at least one of the following: the location where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The server-side calculation unit is configured to calculate the encounter risk for each animal species in a specific region, based on the sighting location information of the sighting information and the capture location information of the capture information. The server-side display unit is capable of displaying the specific area as a specific section corresponding to the specific region. The aforementioned specific parcel is a mesh that follows the GIS provided by the Geospatial Information Authority of Japan. The server-side display unit is a wildlife risk management system in which the area covered by each mesh is variable.

7. A wildlife risk management system according to any one of claims 1 to 6, The aforementioned server-side display unit includes a display switching unit that can switch between a mesh display and a map display, comprising a wildlife risk management system.

8. A wildlife risk management system capable of displaying the risk of encountering wildlife based on wildlife sighting or capture information, Multiple terminal units for transmitting the aforementioned sighting information or capture information, A server-side communication unit capable of communicating with the plurality of terminal units via a network for receiving the sighting information or capture information transmitted by the plurality of terminal units, A server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit, A server-side display unit capable of overlaying the encounter risk for each region calculated by the server-side calculation unit onto a map including each region, for each corresponding region, A server section equipped with, A warning unit that issues a warning when the encounter risk calculated by the server-side calculation unit exceeds a predetermined value, It is equipped with, The aforementioned sighting information includes at least one of the following: the location where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted. The aforementioned capture information includes at least one of the following: the location where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The aforementioned server-side calculation unit is configured to calculate the encounter risk for each animal species for each specific region based on the sighting location information of the sighting information and the capture location information of the capture information, thereby providing a wildlife risk management system.

9. A wildlife risk management system according to any one of claims 1 to 6, The sighting information or capture information transmitted by the aforementioned multiple terminal units includes image data including images of birds and animals. The aforementioned server-side processing unit is configured to perform image recognition on the image data of birds and animals received by the server-side communication unit, and to determine the species, number, length, weight, sex, and adult / young status of the birds and animals.

10. A wildlife risk management system capable of displaying the risk of encountering wildlife based on wildlife sighting or capture information, Multiple terminal units for transmitting the aforementioned sighting information or capture information, A server-side communication unit capable of communicating with the plurality of terminal units via a network for receiving the sighting information or capture information transmitted by the plurality of terminal units, A server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit, A server-side display unit capable of overlaying the encounter risk for each region calculated by the server-side calculation unit onto a map including each region, for each corresponding region, A server section equipped with, It is equipped with, The aforementioned sighting information includes at least one of the following: the location where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted. The aforementioned capture information includes at least one of the following: the location where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The server-side calculation unit is configured to calculate the encounter risk for each animal species in a specific region, based on the sighting location information of the sighting information and the capture location information of the capture information. The sighting information or capture information transmitted by the aforementioned multiple terminal units includes image data including images of birds and animals. The server-side processing unit is configured to perform image recognition on the images of birds and animals contained in the image data received by the server-side communication unit, and to determine the species, number, length, weight, sex, and adult / juvenile status of the birds and animals. The sighting information or capture information transmitted by the aforementioned multiple terminal units includes image data including a piece of paper of a predetermined size. A wildlife risk management system comprising a server-side calculation unit configured to estimate the body length of a wildlife based on a predetermined size of paper included in the image data received by the server-side communication unit.

11. A wildlife risk management system according to any one of claims 1 to 6, The aforementioned server-side calculation unit is configured to estimate the weight of birds and animals based on the body length of the birds and animals contained in the image data received by the server-side communication unit, in a wildlife risk management system.

12. A wildlife risk management system according to any one of claims 1 to 6, The sighting location information or the capture location information includes longitude and latitude, A wildlife risk management system comprising a server-side calculation unit configured to assign the latitude and longitude included in the sighting information or capture information to a specific region.

13. A wildlife risk management system capable of displaying the risk of encountering wildlife based on wildlife sighting or capture information, Multiple terminal units for transmitting the aforementioned sighting information or capture information, A server-side communication unit capable of communicating with the plurality of terminal units via a network for receiving the sighting information or capture information transmitted by the plurality of terminal units, A server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit, A server-side display unit capable of overlaying the encounter risk for each region calculated by the server-side calculation unit onto a map including each region, for each corresponding region, A server section equipped with, It is equipped with, The aforementioned sighting information includes at least one of the following: the location where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted. The aforementioned capture information includes at least one of the following: the location where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The server-side calculation unit is configured to calculate the encounter risk for each animal species in a specific region, based on the sighting location information of the sighting information and the capture location information of the capture information. The aforementioned capture information includes location information of traps that have not yet captured any birds or animals, and comprises a wildlife risk management system.

14. A wildlife risk management device capable of displaying the risk of encountering wildlife based on wildlife sighting information, A server-side communication unit that can communicate with multiple terminal units via a network for receiving the sighting information or capture information transmitted by multiple terminal units for transmitting the aforementioned sighting information or capture information of birds and animals, A server-side calculation unit for calculating the encounter risk for each specific area based on the sighting information or capture information acquired by the server-side communication unit, A server-side display unit capable of overlaying the encounter risk for each region calculated by the server-side calculation unit onto a map including each region, for each corresponding region, A warning unit that issues a warning when the encounter risk calculated by the server-side calculation unit exceeds a predetermined value, Equipped with, The aforementioned sighting information includes at least one of the following: the location where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted. The aforementioned capture information includes information on the location where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The aforementioned server-side calculation unit is configured to calculate the encounter risk for each animal species for each specific region based on the sighting location information of the sighting information and the capture location information of the capture information, thereby providing a wildlife risk management device.

15. A wildlife risk management method that displays the risk of encountering wildlife based on wildlife sightings or capture information, The process involves the server prompting the user to input sighting information, which includes at least one of the sighting location information of the place where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted, or capture information, which includes at least one of the capture location information of the place where the bird or animal was captured, the date of capture, and the type of bird or animal captured. The server unit performs the steps of calculating the encounter risk for each specific area based on the sighting information or the capture information, The server unit performs the following steps: Based on the sighting location information of the sighting information and the capture location information of the capture information, the server unit calculates the encounter risk for each animal species in each region and displays it on the server-side display unit, overlaid on the map including each region, for each corresponding region; The server unit includes the step of issuing a warning when the encounter risk exceeds a predetermined value, A wildlife risk management method that includes the following.

16. A wildlife risk management program for displaying the risk of encountering wildlife based on wildlife sightings or capture information, The server unit has a function to acquire sighting information, which includes at least one of the sighting location information of the place where the bird or animal was sighted, the date of the sighting, and the type of bird or animal sighted, or capture information, which includes at least one of the capture location information of the place where the bird or animal was captured, the date of capture, and the type of bird or animal captured. Based on the acquired sighting information or capture information, the server unit has a function to calculate the encounter risk for each specific area, Based on the sighting location information of the sighting information and the capture location information of the capture information, the encounter risk calculated for each animal species in each region is displayed on the server-side display unit overlaid on a map including each region, for each corresponding region. A function that issues a warning when the calculated encounter risk exceeds a predetermined value, A wildlife risk management program that is run on a computer.

17. A computer-readable recording medium or device that stores the wildlife risk management program described in claim 16.

Images