Mosquito growth suppression program, computer readable recording medium recording the same, mosquito growth suppression system and method

Abstract

To provide a mosquito growth suppression program 2 for analyzing a puddle 4 where there is a high possibility of inhabitation of larva of a mosquito, on the basis of an image acquired from a missile, a computer readable recording medium recording the mosquito growth suppression program 2, a mosquito growth suppression system and method.SOLUTION: A mosquito growth suppression program is a program for analyzing, on the basis of an image acquired from a missile, a puddle where there is a high possibility of inhabitation of larva of a mosquito, and causes a computer to execute: an acquisition step for acquiring a position and size of the puddle 4 on the image acquired from the missile 6; a temperature measurement step for acquiring a temperature of the puddle measured by the missile; and an estimation step for estimating a depth of the puddle 4 on the basis of, the position and the size of the puddle 4 acquired by the acquisition step, and the temperature of the puddle 4 acquired by the temperature measurement step.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a mosquito breeding control program, a computer-readable recording medium having the mosquito breeding control program recorded thereon, a mosquito breeding control system, and a mosquito breeding control method. [Background technology]

[0002] Preventing the spread of mosquito-borne infectious diseases, such as malaria and dengue fever, is a very important issue. In order to reduce mosquito-borne infectious diseases, a method called Larval Source Management (hereinafter referred to as "LSM") has been proposed. LSM is a method of reducing the population of mosquito larvae by spraying insecticides in water areas where mosquito larvae breed. LSM is sometimes undertaken as a national project in African countries as a measure against infectious diseases. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7193824 Summary of the Invention [Problem to be solved by the invention]

[0004] However, LSM has not been widely adopted due to the following reasons: The first problem is that workers have to search for puddles by walking from the ground, which is labor-intensive and time-consuming. After it rains in a vast area of ​​land, many puddles form simultaneously. In addition, eggs are present on the dry surface of the ground, and within 2-3 days after the puddles form, the eggs turn into larvae, and within a few days to a week, the larvae pass through a pupa stage called a giant mosquito larva and then become adults. After it rains and puddles form, it is necessary to quickly spray insecticides, etc. However, because workers have to search for puddles on foot, there is a problem of a shortage of workers and the work cannot be completed in time.

[0005] The second problem is that, in the past, when carrying out LSM, workers had to spray pesticides in all puddles. In order to spray puddles over a wide area, a large number of workers are required. Furthermore, spraying pesticides in all puddles increases the amount of pesticide used, which increases the cost of purchasing the pesticide and raises concerns about the burden on the environment. In addition, spraying large amounts of pesticide leaves the ingredients remaining for a long period of time, which affects not only mosquito larvae but also surrounding organisms, and considering the living environment in a malaria-prone area, it could be a factor in causing health damage to humans.

[0006] In response to such a problem, the inventors of the present invention have considered mounting a lidar (Light Detection And Ranging (LiDAR)) measurement device on a drone in order to search for and find puddles over a wide area. For example, as shown in Patent Document 1, there is a technology for mounting a lidar measurement device on a drone.

[0007] However, with the lidar measurement technology disclosed in Patent Document 1, puddles reflect radio waves, making it difficult to effectively detect puddles because the signal difference between the ground surface and puddles is small.

[0008] Even if puddles could be detected, hundreds to thousands of puddles would be found when a wide area was viewed from the sky. If puddles were sprayed with insecticide as in the past, more workers would be required and more puddles would be found than if the workers had searched from the ground, resulting in a problem of increased use of insecticide.

[0009] The present invention has been made to solve such problems, and aims to provide a mosquito breeding suppression program that analyzes puddles where mosquito larvae are likely to live based on images obtained from an aerial vehicle, a computer-readable recording medium on which the mosquito breeding suppression program is recorded, a mosquito breeding suppression system, and a mosquito breeding suppression method. [Means for solving the problem]

[0010] In order to achieve the above-mentioned objective, according to one embodiment of the present invention, there is provided a mosquito breeding control program that analyzes puddles that are likely to be home to mosquito larvae based on images obtained from an aerial vehicle, and causes a computer to execute an acquisition step of acquiring the position and size of the puddle in the image obtained from the aerial vehicle, a temperature measurement step of acquiring the temperature of the puddle measured from the aerial vehicle, and an estimation step of estimating the depth of the puddle based on the position and size of the puddle acquired by the acquisition step and the temperature of the puddle acquired by the temperature measurement step. According to one embodiment of the present invention configured as described above, the program allows a computer to execute an estimation step of estimating the depth of the puddle based on the position and size of the puddle acquired in the acquisition step and the temperature of the puddle acquired in the temperature measurement step. This makes it possible to estimate the depth of the puddle, which is a biologically important factor in analyzing puddles that are likely to be inhabited by mosquito larvae, and to efficiently find puddles that are likely to be inhabited by mosquito larvae based on images obtained from flying objects. Therefore, since puddles that are likely to be inhabited by mosquito larvae can be efficiently found, a limited number of workers can spray insecticide on the found puddles, thereby reducing the number of workers, labor, and amount of insecticide used.

[0011] According to one embodiment of the present invention, the estimation step of the mosquito breeding control program preferably estimates the depth of the puddle by comparing the temperature of the puddle with the temperature of a reference puddle, for example a previously created puddle of specified size and depth.

[0012] According to one embodiment of the present invention, the estimation step of the mosquito breeding control program preferably measures the temperature of the puddle at least two or more times at different times and estimates the depth of the puddle based on the measured temperature change.

[0013] According to one embodiment of the present invention, preferably the mosquito breeding control program further comprises an evaluation step of evaluating the risk of mosquito larvae inhabiting the puddle based on the depth of the puddle.

[0014] According to one embodiment of the present invention, preferably, the mosquito breeding control program further includes an output step of distinguishing puddles evaluated as high risk in the evaluation step from other puddles in the image obtained from the flying object and displaying them on a display device.

[0015] According to one embodiment of the present invention, the output step of the mosquito breeding control program preferably displays the positional relationship between the position of the portable information terminal having the display device and a puddle assessed to be high risk in an image obtained from the flying object.

[0016] According to one embodiment of the present invention, preferably, a computer-readable recording medium having any of the above-mentioned mosquito breeding control programs recorded thereon. According to one embodiment of the present invention configured in this manner, a computer-readable recording medium having recorded thereon the mosquito breeding inhibition program described above can be caused to execute predetermined steps, thereby efficiently detecting puddles that are likely to house mosquito larvae.

[0017] According to one embodiment of the present invention, there is provided a mosquito breeding control system that analyzes puddles that are likely to be inhabited by mosquito larvae based on images obtained from an aerial vehicle, and includes: a flying object that flies above the ground; a temperature measuring device provided on the flying object; a camera provided on the flying object; and an estimation device that estimates the depth of the puddle based on the position and size of the puddle acquired by the camera and the temperature of the puddle measured by the temperature measuring device. According to one embodiment of the present invention configured as described above, a relatively wide range of images is acquired by a camera provided on the flying object, and the depth of the puddle can be estimated by an estimation device based on the position and size of the puddle acquired by the camera and the temperature of the puddle measured by the temperature measurement device. This makes it possible to estimate the depth of the puddle, which is a biologically important factor in analyzing puddles that are likely to be inhabited by mosquito larvae, and to efficiently find puddles that are likely to be inhabited by mosquito larvae based on images acquired from the flying object. Therefore, since puddles that are likely to be inhabited by mosquito larvae can be efficiently found, a limited number of workers can spray insecticide on the found puddles, thereby reducing the number of workers, labor, and amount of insecticide used.

[0018] According to one embodiment of the present invention, the air vehicle is preferably a fixed-wing drone.

[0019] According to one embodiment of the present invention, there is provided a mosquito breeding control method that analyzes puddles, which are likely to be inhabited by mosquito larvae, based on images obtained from an aerial vehicle, and includes the steps of: acquiring the position and size of the puddle in the image obtained from the aerial vehicle; a temperature measurement step of acquiring the temperature of the puddle, the position and size of which are measured from the aerial vehicle, and an estimation step of estimating the depth of the puddle based on the position and size of the puddle acquired by the acquisition step and the temperature of the puddle acquired by the temperature measurement step. According to one embodiment of the present invention configured as described above, the mosquito breeding control method includes an acquisition step of acquiring the position and size of a puddle in an image acquired from the flying object, a temperature measurement step of acquiring the temperature of the puddle whose position and size are acquired from the flying object, and an estimation step of estimating the depth of the puddle based on the position and size of the puddle acquired by the acquisition step and the temperature of the puddle acquired by the temperature measurement step. This makes it possible to estimate the depth of the puddle, which is a biologically important factor in analyzing puddles that are likely to be inhabited by mosquito larvae, and to efficiently find puddles where mosquito larvae are likely to be inhabited based on the image acquired from the flying object. Therefore, since puddles that are likely to be inhabited by mosquito larvae can be efficiently found, a limited number of workers can spray insecticide on the found puddles, thereby reducing the number of workers, labor, and amount of insecticide used. Effect of the Invention

[0020] According to the mosquito breeding suppression program, the computer-readable recording medium having the mosquito breeding suppression program recorded thereon, the mosquito breeding suppression system, and the mosquito breeding suppression method of the present invention, puddles which are likely to be inhabited by mosquito larvae can be analyzed based on images obtained from a flying object. [Brief description of the drawings]

[0021] [Figure 1] 1 is a schematic diagram of a mosquito breeding control system equipped with a mosquito breeding control program according to one embodiment of the present invention; [Diagram 2] FIG. 2 is a diagram showing the state of the inside of a puddle analyzed using a mosquito breeding control program according to one embodiment of the present invention. [Diagram 3] 1 is a block diagram showing the configuration of a mosquito breeding control system according to one embodiment of the present invention; [Figure 4] 1 is a block diagram showing the configuration of an estimation device in a mosquito breeding control system according to one embodiment of the present invention. FIG. [Diagram 5] FIG. 5 is a diagram showing the relationship between an estimation device and a mobile information terminal in the mosquito breeding control system of FIG. 4. [Figure 6] 1 is a block diagram showing the configuration of an estimation device in a mosquito breeding control system according to one embodiment of the present invention. FIG. [Figure 7] FIG. 2 illustrates a process flow chart for a mosquito breeding control system according to one embodiment of the present invention. [Figure 8] FIG. 2 is a diagram showing an aerial image taken by a camera of an airborne vehicle of the mosquito breeding control system according to one embodiment of the present invention. [Figure 9] FIG. 2 is a diagram showing an image measured by a temperature measuring device of a flying object of the mosquito breeding control system according to one embodiment of the present invention. [Figure 10] FIG. 9 is a diagram showing a state in which a puddle 4 is detected in the aerial photographed image of FIG. 8 and distinguished from other ground, vegetation, etc. [Figure 11] FIG. 2 is a diagram showing puddles in an aerial image that are evaluated as posing a relatively high risk in a mosquito breeding control system according to an embodiment of the present invention. [Figure 12] 1A to 1C are diagrams illustrating a mechanism for estimating the depth of a puddle based on a reference puddle in one embodiment of the present invention. [Figure 13] FIG. 1 illustrates factors and conditions that increase the risk of larval infestation in one embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0022] Hereinafter, a mosquito breeding control system 1 including a computer that executes a mosquito breeding control program 2 (see FIG. 3) according to an embodiment of the present invention will be described with reference to the accompanying drawings. The embodiments of the present disclosure have been described as examples, and it will be apparent to those skilled in the art that many modifications, changes, and substitutions can be made within the spirit and scope of the present invention. Therefore, the present invention is not limited to the disclosed embodiments, and various modifications, changes, etc. can be made in the form and details without departing from the scope of the claims. In addition, the components disclosed in the specification can be freely combined.

[0023] As shown in Fig. 1, a mosquito breeding suppression system 1 according to an embodiment of the present invention analyzes puddles 4 where mosquito larvae 3 (see Fig. 2) are likely to emerge (exist) and live, based on an image captured from an airborne object 6. The mosquito breeding suppression system 1 can select and display puddles 4 in which larvae 3 are likely to emerge and live, from among the puddles 4 in the aerial image. The mosquito breeding suppression system 1 can suppress mosquito breeding, and is therefore also a mosquito-borne infectious disease suppression system. Similarly, the mosquito breeding suppression program is a mosquito-borne infectious disease suppression program, and the mosquito breeding suppression method described below is a mosquito-borne infectious disease suppression program.

[0024] FIG. 2 shows an example of a puddle 4 in which mosquito larvae 3 exist in water. The water surface 4a of the puddle 4 is indicated by a dashed line. The mosquito larvae 3 are born from eggs 3a in the puddle 4. The larvae 3 are so-called mosquito larvae. For example, when rain falls while the eggs are present, the larvae 3 turn into larvae about 2 to 3 days after the puddle 4 is formed. It is known that Anopheles eggs can withstand 9 months of dryness, and even during a long dry season, they hatch after puddles are formed by rainfall and turn into mosquito larvae and adults. The larvae 3 grow in the puddle 4 in about several days to about one week and turn into mosquito adults. The mosquitoes are, for example, Anopheles species mosquitoes. Mosquitoes suck human blood, and Anopheles species mosquitoes transmit, for example, the infectious disease malaria. Other types of mosquitoes transmit infectious diseases such as dengue fever, Japanese encephalitis, West Nile fever, and Zika virus infection, depending on the type of mosquito.

[0025] The puddle 4 is, for example, a puddle that occurs on the ground G after rain. It is formed by water accumulating on the unevenness or slope of the ground G. The size of the puddle 4 is not limited. The puddle 4 may be a puddle after rain, a puddle where water has accumulated in a depression in an object, a puddle where water has seeped out, a pond, a swamp, a reservoir, a rice field, water in a depression, water in an irrigation ditch, a lake, etc. The puddle 4 includes, for example, a puddle with a size of 30 cm x 30 cm or a puddle with a size of 200 cm x 200 cm. The puddle 4 includes not only a puddle that is formed in a short period after rain, but also a puddle that exists for a long period due to the influence of weather and climate. Depending on the type of mosquito targeted, the puddle 4 may not include a place with constant water flow, a lake where larvae 3 inhabit other aquatic organisms that are predators of mosquito larvae do not grow easily, or a relatively large pond (for example, a pond with a size of 100 m x 100 m). Anopheles mosquitoes prefer to breed in relatively small puddles 4, so the puddle 4 may be a relatively small puddle that is smaller than 500 cm x 500 cm in size. Although such a relatively small puddle 4 is difficult to identify from a satellite or manned aircraft, the drone of this embodiment has a spatial resolution of 0.02 m or less, making it easy to detect.

[0026] As shown in Figure 3, the mosquito breeding suppression system 1 includes a flying object 6 that flies above the ground, a temperature measuring device 8 provided on the flying object 6, a camera 10 provided on the flying object 6, a multispectral camera 11 provided on the flying object 6, a GPS 9 provided on the flying object 6, a control device 7 that controls the flying object 6, the temperature measuring device 8, the camera 10, etc., and an estimation device 12 (mosquito breeding suppression device) that estimates the depth of the puddle 4.

[0027] The flying object 6 is a device that flies above the ground G, and in this embodiment, is a fixed-wing drone. The flying object 6 may be, for example, an artificial satellite, a manned aircraft, a helicopter, an unmanned aircraft, a fixed-wing drone, a multicopter drone, an airship, or the like. A fixed-wing drone has a feature that it can fly for a long time and over a long distance (for example, about 200 km) in one flight compared to a multicopter drone, etc. Therefore, a fixed-wing drone can acquire a relatively wide range of aerial images (ground images) in one flight, for example, an aerial image (ground image) in an area range of 20 km x 20 km or an aerial image (ground image) in an area range of 10 km x 10 km. Furthermore, a fixed-wing drone can perform measurements more easily than a manned aircraft, a helicopter, etc. A fixed-wing drone has an advantage that it is easier to find a relatively small puddle 4 (for example, a puddle of 30 cm square) on the ground from a lower height than a satellite or a manned aircraft.

[0028] The temperature measuring device 8 is attached to the flying object 6 and measures the temperature of an object on the ground from the sky. The temperature measuring device 8 is, for example, a thermal camera, and measures the temperature by detecting infrared rays emitted from the object. The temperature measuring device 8 functions as a temperature measuring device. The temperature measuring device 8 can measure the temperature (water temperature) of the puddle 4 in the image.

[0029] The camera 10 is attached to the flying object 6 and captures images of objects on the ground from the sky. The camera 10 has a function of capturing visible light images. The camera 10 can capture still images or videos. The temperature measurement by the temperature measuring device 8 and the image capture by the camera 10 and a multispectral camera 11 described below are synchronized and captured synchronously. Therefore, it is possible to compare the temperature on the image obtained by the temperature measuring device 8 with the image obtained by the camera 10 and the object on the image obtained by the multispectral camera 11.

[0030] The multispectral camera 11 is attached to the flying object 6 and captures images of objects on the ground from the sky. The multispectral camera 11 has a function of capturing images that can be analyzed for wavelength components (spectrum) of light.

[0031] The GPS 9 is a global positioning system, which indicates a satellite positioning system. The GPS 9 is electrically connected to the control device 7 and transmits position information such as the latitude and longitude of the flying object 6 to the control device 7.

[0032] The control device 7 is provided separately from the flying object 6, and remotely controls the flight course, speed, etc. of the flying object 6. The control device 7 can also control the temperature measuring device 8, the camera 10, the multispectral camera 11, etc. The flying object 6 flies an unmanned flight course determined in advance under the control of the control device 7. The control device 7 recognizes the position (e.g., latitude and longitude) of the flying object 6 by a GPS 9 provided in the flying object 6. The control device 7 is provided separately from the estimation device 12, but the control device 7 may be configured integrally with the estimation device 12, and the control device 7 may have the functions of the estimation device 12. The control device 7 is provided with a storage device and a processor capable of executing control.

[0033] The estimation device 12 estimates the depth of the puddle 4 based on the position and size of the puddle 4 acquired by the camera 10 or the multispectral camera 11 and the temperature of the puddle 4 acquired by the temperature measurement device 8. The estimation device 12 includes a mosquito breeding suppression program 2 that analyzes puddles 4 where mosquito larvae 3 are likely to live, based on an image obtained from a camera or the like of the flying object 6. The estimation device 12 includes a mosquito breeding suppression program 2 that selects puddles 4 where mosquito larvae 3 are likely to live from among the puddles in the image obtained from the flying object 6. The mosquito breeding suppression program 2 has a function of estimating the depth of the puddle 4 based on the position and size of the puddle 4 acquired by the camera 10 and the temperature of the puddle 4 acquired by the temperature measuring device 8. The estimation device 12 includes one or more servers that function as a computer. The estimation device 12 does not have to be configured as a single server, and may be configured as another server located in a remote location via the Internet 32.

[0034] The estimation device 12 includes a storage device 16 and a processor 18. The estimation device 12 also functions as a control unit for a series of control processes. The storage device 16 is, for example, a volatile memory capable of reading and writing information at high speed, and is used as a storage area and a working area when the processor 18 processes information. The storage device 16 may be a non-volatile storage or non-volatile memory, for example, a flash memory such as eMMC, UFS, or SSD. The storage device 16 stores a program for executing the mosquito breeding suppression program in this embodiment, various data, and the like. The storage device 16 constitutes a computer-readable tangible recording medium, and stores the mosquito breeding suppression program 2. The processor 18 controls the operation of the estimation device 12. The processor 18 is, for example, a CPU. Note that an electronic circuit such as an MPU may be used as the processor 18. The processor 18 executes various processes by reading and executing the program and data stored in the estimation device 12. If the program of this embodiment is arranged in another computer-readable recording medium, the processor 18 may execute the instructions of the program in this recording medium. The computer-readable recording medium may be another recording medium capable of storing data, such as a USB memory, an SD card, or a DVD. The estimation device 12 may be a tablet computer, a smartphone, other portable information terminal devices, a smart watch, a wearable device, or other electronic devices. The estimation device 12 may include a communication device 20 for transmitting and receiving data to and from other devices, a display device 22 such as a display for displaying output results to a user, an input device 23 for receiving input commands to the estimation device 12, and the like. The communication device 20 may be a device or module for wireless communication, or may be a device or module for wired communication. The input device 23 is, for example, a keyboard or a mouse for receiving keyboard operation input. Each of these components is connected by a bus 13. Note that an interface is provided between the bus 13 and each component as necessary.

[0035] As shown in Figure 6, the estimation device 12 includes, based on the mosquito breeding inhibition program 2, an acquisition step function unit 24 that executes an acquisition step S2, a temperature measurement step function unit 26 that executes a temperature measurement step S3, an estimation step function unit 28 that executes an estimation step S4, an evaluation step function unit 30 that executes an evaluation step S5, and an output step function unit 33 that executes an output step S6. The acquisition step function unit 24 has a function of causing the estimation device 12 as a computer to execute an acquisition step S2 (see FIG. 7) of acquiring information regarding the position and size of the puddle 4 in the image (see FIG. 8) obtained from the flying object 6. Thus, the acquisition step function unit 24 has a function of detecting the puddle 4 in the captured image. Such an acquisition step function unit 24 is configured as a part of the mosquito breeding control program 2.

[0036] The temperature measurement step function unit 26 has a function of causing the estimation device 12 as a computer to execute a temperature measurement step S3 of acquiring information about the temperature of the puddle 4 measured from the flying object 6 at approximately the same time as the image (see FIG. 8) is acquired. Such a temperature measurement step function unit 26 is configured as a part of the mosquito breeding control program 2.

[0037] The estimation step function unit 28 has the function of causing the estimation device 12 as a computer to execute an estimation step S4 of estimating the depth of the puddle 4 based on the position and size of the puddle 4 acquired in the acquisition step S2 and the temperature of the puddle 4 acquired in the temperature measurement step S3. The evaluation step function unit 30 has a function of causing the estimation device 12 as a computer to execute an evaluation step S5 of evaluating the risk of mosquito larvae 3 living in the puddle 4 based on the depth of the puddle 4. Such an evaluation step function unit 30 is configured as a part of the mosquito breeding inhibition program 2.

[0038] The output step function unit 33 has a function of causing the estimation device 12 as a computer to execute an output step S6 of displaying on a display device the puddles 4 evaluated as having a high risk in the evaluation step S5, distinguishing them from other puddles 4 in the image obtained from the flying object 6. Such an output step function unit 33 is configured as a part of the mosquito breeding control program 2.

[0039] The estimation step function unit 28 is configured as a part of the mosquito breeding control program 2. The estimation step function unit 28 has a function of executing the estimation step S4 (see FIG. 7).

[0040] As shown in FIG. 5, the estimation device 12 can communicate with a mobile information terminal 34 via the Internet 32, and information is transmitted. The mobile information terminal 34 is provided so that the worker who sprays the insecticide can easily check it. For example, each worker has a mobile information terminal 34 such as a smartphone. The mobile information terminal 34 can be configured as a smartphone, a mobile phone, a smart watch, a tablet PC, a notebook PC, a desktop PC, or the like. The mobile information terminal 34 has a display device 34a that configures a display screen. The display device 34a is, for example, a monitor display, a display screen of a mobile information terminal, a display screen of a smartphone, or the like. The estimation device 12 can output the output result in the output step S6 (see FIG. 7) on the display screen of the mobile information terminal 34. Therefore, in the output step S6, the puddle 4 evaluated as having a high risk (or a puddle evaluated as having a certain level of risk or more) is displayed on the display screen of the mobile information terminal 34 of the worker who sprays the insecticide, distinguishing it from other puddles. Such a mobile information terminal 34 may or may not be included in the mosquito breeding control system 1. A plurality of portable information terminals 34 can be provided for one estimation device 12. Thus, a large number of workers can simultaneously perform work such as spraying pesticides while checking information on their own portable information terminals 34. This makes the work of spraying pesticides more efficient.

[0041] Next, a series of operations related to the mosquito breeding control system of this embodiment will be described with reference to FIG. The mosquito breeding control program 2 can be used for a series of operations related to the mosquito breeding control system in this embodiment. As shown in Fig. 7, in a preparation step S1 of the mosquito breeding control method, the estimation device 12 acquires ground surface image data B (see Fig. 8) of an aerial photographed image taken by the camera 10 attached to the flying object 6, temperature data C (see Fig. 9) of the temperature of the ground surface, etc. acquired from the flying object 6, etc. After acquiring the ground surface image data, etc., and determining that preparation for executing subsequent processing is complete, the estimation device 12 proceeds to S2. Note that Figs. 8 and 9 each merely show one example of an image, and therefore images of objects different from those in Figs. 8 and 9 are illustrated.

[0042] As shown in FIG. 1, the flying object 6 of the mosquito breeding control system 1 flies over an area from which data is to be obtained, thereby obtaining the ground surface image data (see FIG. 8) and the temperature data of the ground surface, etc. While the flying object 6 flies over the survey area, the camera 10 takes an aerial image of an object on the ground G, and the temperature measuring device 8 measures the temperature of the object on the ground. The range A of the aerial image taken by the camera 10 is illustrated by a broken line in FIG. 1. The images taken by the camera 10 are superimposed and modeled, and are orthomosaiced by so-called orthosoft. The orthomosaiced ground surface image data is illustrated in FIG. 8. In this way, the estimation device 12 obtains the ground surface image data. The estimation device 12 may be equipped with orthosoft. The estimation device 12 also obtains temperature data of the ground surface, etc. in the same area as the ground surface image data (see FIG. 9).

[0043] In S2, as shown in Figs. 1 and 7, the acquisition step function unit 24 of the estimation device 12 executes an acquisition step S2 in which the position and size (surface area) of the puddle 4 are acquired in the ground surface image data B (see Fig. 8) acquired from the flying object 6. More specifically, as shown in Fig. 10, the estimation device 12 analyzes the acquired ground surface image data B by the acquisition step function unit 24, and recognizes the puddle 4 by distinguishing it from other ground surfaces, vegetation, etc. The estimation device 12 measures and acquires not only the existence of the puddle 4, but also the position (latitude and longitude) and size (length and width and area) of the puddle 4. For example, the estimation device 12 recognizes the latitude and longitude at which the aerial image was taken, and can determine the latitude and longitude of the position of the puddle 4 in the image. In Fig. 10, the detected puddle 4 is illustrated as being surrounded by a dashed line D. Furthermore, as shown in Fig. 11, the estimation device 12 assigns a unique identification index E (for example, an index value such as "index 1") to each detected puddle 4. Therefore, the detected puddles 4 can be individually recognized and registered, making it easy to manage them thereafter. In Fig. 11, the position (latitude and longitude) of each puddle 4 is displayed below the index of the identification index E. In this way, for example, approximately tens to approximately thousands of puddles are detected in the aerial image by the acquisition step S2.

[0044] For example, the area of ​​the puddle 4 can be detected in the image captured by the multispectral camera 11. For example, if R is the reflectance of visible red light and SWIR is the reflectance of shortwave infrared wavelengths, it is possible to determine whether or not the puddle 4 is present in the image by the following formula. For example, if the NDWI is different from the value of 1, it may be determined that the puddle 4 is present. TIFF2025007954000002.tif27147Note that puddle 4 may be determined using an image index such as NDVI instead of NDWI.

[0045] Furthermore, as a modified example, the area of ​​the puddle 4 may be detected by, for example, taking an infrared image at the same time as acquiring the aerial image, binarizing and analyzing the infrared image. For example, the infrared image and the thermo image may each be binarized, and the area of ​​the puddle 4 may be detected by taking the product. Note that image recognition by AI software may be used to detect such a puddle 4, and the puddle 4 may be recognized as being distinguished from other ground surfaces, vegetation, etc. Returning to the description of this embodiment, after acquiring the position and size of the puddle 4, the estimation device 12 proceeds to S3.

[0046] In S3, the temperature measurement step S3 is executed by the temperature measurement step function unit 26 of the estimation device 12 to acquire the temperature of the puddle 4 measured by the temperature measurement device 8 of the flying object 6 and acquired by the temperature measurement device 8 at approximately the same time as the time of photographing the puddle 4 by the camera 10. FIG. 9 shows an image of the temperature distribution measured by the temperature measurement step function unit 26. The estimation device 12 associates the puddle 4 detected by the acquisition step function unit 24 with the temperature of the area corresponding to the puddle 4 acquired by the temperature measurement device 8, and acquires the temperature of the puddle 4. The temperature measurement step function unit 26 has a function of comparing the image photographed by the camera 10 with the image acquired by the temperature measurement device 8, and determining the temperature of the water surface of the puddle 4. The temperature measurement step function unit 26 may simply compare the two images, or may compare the two images by image recognition such as AI. After acquiring the temperature of the puddle 4, the estimation device 12 proceeds to S4.

[0047] In S4, the estimation device 12 executes an estimation step S4 in which it estimates the depth d2 of the puddle 4 based on the position and size (e.g., surface area) of the puddle 4 acquired in the acquisition step S2 and the temperature of the puddle 4 acquired in the temperature measurement step S3. As shown in Fig. 12, the estimation step S4 (see Fig. 7) of the mosquito breeding control program 2 estimates the depth d2 (depth from the water surface 4a to the bottom surface 4b) of the puddle 4 by comparing the temperature of the puddle 4 with the temperature of a reference puddle 30 whose size and depth are specified. Such estimation step S4 is based on the mechanism that, when the size (surface area) of a puddle is the same under the same sunlight conditions, the shallower the puddle, the faster the water temperature rises. The estimation step S4 estimates the depth d2 of the detected puddle 4 by a mechanism that estimates the water depth based on the size of the puddle 4 and the rise in water temperature.

[0048] Here, the reference puddle 30 is a puddle whose size (length, width and surface area) and depth are specified and which is used as a standard for comparison with other puddles. The reference puddle 30 is created in advance and artificially formed so that the size and depth of the puddle are clear. Note that a naturally formed puddle may be used as the reference puddle 30 as long as its size and depth can be specified. It is preferable that the reference puddle 30 is formed in the same soil as puddle 4 to make the environment similar to that of puddle 4.

[0049] The mechanism for estimating the depth of a puddle will now be described in more detail with reference to FIG. For example, when the puddle 4 to be estimated is located at a distance of several kilometers to about 20 km from the reference puddle 30, the puddle 4 to be estimated and the reference puddle 30 are under almost the same weather conditions (sunshine conditions). For example, the sunshine hours and air temperatures from sunrise to the time of measurement for the puddle 4 to be estimated and the reference puddle 30 are almost the same. The energy for increasing the temperature of the puddle is determined by the amount of energy per unit area brought by sunlight, and the surface area of ​​the puddle is the factor for the temperature increase. When the surface area of ​​the puddle is the same, the temperature increase is determined by the volume of water, so the deeper the puddle, the more gradual the temperature increase. Therefore, at a certain time, there is a temperature difference between the measured temperature of the puddle 4 and the temperature of the reference puddle 30 due to the difference between the surface area and depth of the puddle 4 and the surface area and depth of the reference puddle 30. A specific example will be described. A reference puddle 30 and a puddle 4 are included in an image captured at a certain time during the day. The temperature of the reference puddle 30 is 25 degrees, and the size (surface area) of the reference puddle 30 is 1 m. 2 (length 1m x width 1m), depth d1cm (specified), temperature of puddle 4 is 22 degrees, size of puddle 4 is 1m 2(length 1m x width 1m) and a depth d2cm. In this case, since the water temperature of the puddle 4 is lower than that of the reference puddle 30, the depth d2cm of the puddle 4 is estimated to be deeper than the depth d1cm of the reference puddle 30. The estimation device 12 has data necessary to estimate the relationship between the temperature, size (surface area), and depth of the puddle 4 based on such a mechanism. Therefore, the estimation device 12 can specifically calculate the depth d2cm of the puddle 4 as an estimated value. Based on such a mechanism, the estimation device 12 can estimate the depth d2cm of the puddle 4. The estimation device 12 may specifically calculate the depth d2cm of the puddle 4 as an estimated value by using AI software that has learned data such as the temperature, size (surface area), and depth of the puddle 4 as teacher data. If the depth and temperature of each puddle were measured by hand as in the past, there would be insufficient manpower and time, and since mosquitoes grow from larvae 3 to adults in a few days, the measurement would not be completed in time. According to the puddle depth estimation of this embodiment, the depths of many puddles 4 can be estimated, and such conventional problems can be solved.

[0050] As a modified example, estimation step S4 may measure the temperature of the same puddle 4 at least two or more times at different times and estimate the depth of the puddle 4 based on the measured temperature change. By acquiring the temperature of the puddle 4 measured in a first measurement at a certain time and the temperature of the same puddle 4 measured in a second measurement after a certain time has passed, estimation device 12 can estimate the depth d2 cm of puddle 4 with higher accuracy. More specifically, the image and data such as temperature taken in the first measurement at a certain time during the day indicate that the temperature of puddle 4 is 20 degrees and the size of puddle 4 is 1 m. 2 The dimensions of the puddle are 1m long and 1m wide. After a certain amount of time has passed, the temperature of puddle 4 is 25 degrees and the size of puddle 4 is 1m. 2 (1m length × 1m width), the depth d2cm of puddle 4 can be estimated taking into account factors such as the amount of sunlight between the first and second measurements. At this time, by considering the change in temperature of reference puddle 30 photographed in the first measurement and the change in temperature of reference puddle 30 photographed in the second measurement, the amount of heat heated by the reference puddle 30 due to sunlight can be calculated, and the amount of heat received by puddle 4 and its depth, etc. can be estimated based on this amount of heat. By considering the change in temperature of reference puddle 30, the accuracy of the estimation of the depth d2 cm of puddle 4 can be further improved. Note that even if there is no reference puddle 30, estimation device 12 can estimate the depth d2 cm of puddle 4 with a certain degree of accuracy based on the above-mentioned theory.

[0051] Returning to Fig. 7, the flowchart will be described. In S5, the estimation device 12 executes an evaluation step S5 in which the estimation device 12 evaluates the risk of mosquito larvae 3 inhabiting the puddle 4 based on the depth d2 of the puddle 4. In the evaluation step, the estimation device 12 executes an evaluation of the risk of each puddle 4 based on the temperature of the puddle 4, the depth d2 cm of the puddle 4, information on the vegetation around the puddle 4, and the like. In the evaluation step, as shown in FIG. 13, the risk of mosquito larvae 3 inhabiting is evaluated mainly based on three factors. For example, if any, any combination, or all of the conditions (1) to (3) are satisfied, (1) the depth of the puddle is shallower than 50 cm (preferably 40 cm) (e.g., between 1 cm and 50 cm), (2) the water temperature is between 26° C. and 34° C., and (3) vegetation exists within a predetermined distance from the puddle, the puddle 4 is evaluated as having a high risk of larvae 3 inhabiting. For example, if the depth of the puddle in condition (1) is shallower than 50 cm, the risk of larvae 3 inhabiting is likely to be evaluated as high based on the biological theory that the shallower the puddle, the easier it is for the water temperature to rise and the easier it is for the larvae 3 to inhabit. Also, if the water temperature in condition (2) is satisfied, the risk of larvae 3 inhabiting is likely to be evaluated as high based on the biological theory that the temperature is suitable for the larvae 3 to inhabit. In addition, when the specified vegetation in condition (3) satisfies certain conditions, based on the biological theory that the vegetation tends to provide an amount of dissolved oxygen that is favorable for the habitation of larvae 3, the risk of the habitation of larvae 3 is likely to be evaluated as being high.

[0052] The puddle 4 may be evaluated as having a relatively high risk by satisfying at least two of the conditions (1) to (3). Based on these conditions, the risk may be evaluated in more detail by considering the degree of deviation of each condition value. The risk may be evaluated by quantifying the degree of risk by comprehensively considering (1) to (3). Regarding the factors and conditions, further factors and conditions, for example, different factors such as the distance from the residential area to the location of the puddle, the transparency of the water, and the temperature, may be considered additionally or instead of the existing factors. After performing the risk evaluation, the estimation device 12 proceeds to S6. For example, 20 puddles out of the 200 puddles 4 initially detected were judged to have a high risk of larvae 3 inhabiting by the evaluation step S5. Therefore, the spraying work of the insecticide may be performed on the puddles 4 judged to have a high risk of larvae 3 inhabiting. Therefore, the number of workers can be saved, and the usage fee and the cost of the insecticide can be reduced. Since manpower and costs can be saved, LSM can be performed in a wider area and the number of times LSM can be performed can be increased, which is a significant effect in reducing infectious diseases. If hundreds to thousands of puddles 4 are found in the aerial images, if the number of puddles 4 where insecticide spraying work is performed can be reduced to 60% or less, more preferably 50% or less, and even more preferably 40% or less, it will be a significant effect that the number of workers, etc. can be significantly reduced. According to biological knowledge, Anopheles mosquitoes have a limit to the distance they can fly continuously, and they have a tendency to prefer vertical surfaces to land and rest. Therefore, when there are plants around, Anopheles mosquitoes have a tendency to prefer puddles around the plants because they can use them as resting places during flight. Anopheles mosquitoes tend to prefer plants with vertical surfaces that are easy for them to land on. In addition, the temperature around plants (around vegetation) is lower because the energy of sunlight is absorbed by photosynthesis, and the shade effect also creates a gradual rise in water temperature. Therefore, the area around plants tends to be preferred by mosquitoes for breeding. If vegetation is relatively close to puddle 4, for example, if vegetation is present within a certain distance (for example, 50 m) from puddle 4, it can be evaluated as being a positive factor for conditions that are favorable for Anopheles mosquitoes to live.

[0053] In S6, as shown in FIG. 7 and FIG. 11, the estimation device 12 executes an output step S6 in which the puddles 4 evaluated as having a high risk in the evaluation step S5 are displayed on the display device 34a of the mobile information terminal 34 in a manner that distinguishes them from other puddles (for example, puddles 4 evaluated as having a low risk or puddles 4 not evaluated as having a high risk) in the image obtained from the flying object 6. In the output step S6, a map display function of the puddles 4 is realized. In FIG. 11, among the detected puddles 4, only the puddles 4 evaluated as having a high risk or a certain level or higher risk are highlighted and displayed as surrounded by four lines 4c (approximately surrounded by a circle). In this way, the estimation device 12 has a function of highlighting the puddles 4 that have a risk evaluation value or evaluation of a certain level or higher and are evaluated as having a high risk so that they can be distinguished on a predetermined image. The predetermined image is, for example, an image obtained from the flying object 6 or an image based on the obtained image. The estimation device 12 can operate application software and realize each of these functions on the application software. For example, the estimation device 12 may realize a map display function of the puddles 4 in application software that runs on the mobile information terminal .

[0054] The estimation device 12 highlights a certain puddle 4 on the image, which makes it easier for the person spraying the pesticide to recognize the puddle 4 to which the pesticide should be sprayed on the image. In addition, by displaying an arc-shaped line 4c that surrounds the puddle 4, the position of the puddle 4 in the image can be easily seen. In addition, since each puddle 4 is individually given an identification index, it is easier to manage the puddle 4 and register information (information on whether it has been killed, etc.). Furthermore, the estimation device 12 has a function of displaying puddles 4 with a risk assessment value or assessment of a certain level or higher on the image together with the current location of the worker (the location of the mobile information terminal 34). This makes it easier for the worker F who sprays the pesticide to decide what route to take to spray the puddle 4 in the future.

[0055] Furthermore, the estimation device 12 displays a plurality of predetermined puddles 4 on a relatively wide-area map from an aerial perspective as shown in FIG. 11 in the output step S6. This allows the worker spraying the pesticide to easily grasp the overall picture of the spraying work. This allows the worker to more easily determine the route to take to spray the puddles 4 in the future. Furthermore, since the puddles 4 are displayed on a map based on actual images, the worker can use surrounding trees, stones, roads, etc. as landmarks, and can efficiently proceed with the work. Furthermore, since the puddles 4 are displayed on a map based on actual images, the worker can recognize in advance from the images if there are obstacles such as rivers or forests on the way to the puddles 4. Furthermore, the direction is displayed on the screen to support the worker in searching for the puddles. Furthermore, the map output in output step S6 can be attached to a report after work such as spraying pesticides has been completed. Since each puddle 4 is individually marked and differentiated, a report indicating the work completed can be made for each puddle. Thus, workers can submit the puddle information on the map along with photographs of the work as evidence of spraying and receive payment. In this way, the map with puddle 4 information makes it possible to leave evidence and records of the work, and can be used as a fair report. After executing the output step S6, the estimation device 12 proceeds to END, and ends a series of control processes.

[0056] According to one embodiment of the present invention configured as described above, the mosquito breeding control program can execute an estimation step S4 in which the computer estimates the depth of the puddle 4 based on the position and size of the puddle 4 acquired in the acquisition step S2 and the temperature of the puddle 4 acquired in the temperature measurement step S3. This makes it possible to estimate the depth of the puddle 4, which is a biologically important factor in analyzing the puddle 4 in which mosquito larvae 3 are likely to live, and to efficiently find the puddle 4 in which mosquito larvae 3 are likely to live based on the image obtained from the flying object. Therefore, since the puddle 4 in which mosquito larvae 3 are likely to live can be efficiently found, a limited number of workers can spray the puddle 4 where the puddle 4 is found, and the number of workers, labor, and amount of insecticide used can be reduced.

[0057] According to one embodiment of the present invention configured as described above, the estimation step S4 estimates the depth of the puddle 4 by comparing the temperature of the puddle 4 with the temperature of the reference puddle 30 whose size and depth are specified. This makes it possible to estimate the depth of the puddle 4 with higher accuracy based on the temperature of the reference puddle 30.

[0058] According to one embodiment of the present invention configured as described above, in the estimation step S4, the temperature of the puddle 4 is measured at least two times at different times, and the depth of the puddle 4 is estimated based on the measured temperature change. This makes it possible to estimate the depth of the puddle 4 with higher accuracy based on the temperature change of the puddle 4. Note that if a comparison is made with the temperature of the reference puddle 30, the accuracy of the estimation of the depth of the puddle 4 can be further improved.

[0059] According to one embodiment of the present invention configured as described above, the mosquito breeding control program 2 further includes an evaluation step S5 for evaluating the risk of mosquito larvae 3 inhabiting the puddle 4 based on the depth of the puddle 4. As a result, among the many puddles 4 in the image obtained from the flying object 6, based on the biological theory that the shallower the puddle 4, the easier it is for the water temperature to rise to a predetermined temperature and the easier it is for the larvae 3 to inhabit, it is possible to evaluate the puddles 4 with a relatively high risk of inhabiting the mosquito larvae 3. Therefore, using the image obtained from the flying object 6, it is possible to efficiently find the puddles 4 where the mosquito larvae 3 are likely to inhabit. In addition, it is possible to change whether or not to spray the puddle 4 with insecticide depending on the degree of risk of the puddle 4, thereby further reducing the number of workers, labor, and amount of insecticide used.

[0060] According to one embodiment of the present invention configured as described above, the mosquito breeding control program 2 further includes an output step S6 for displaying on the display device 34a the puddles 4 evaluated as being high risk in the evaluation step S5, distinguishing them from the puddles 4 evaluated as being low risk in the image obtained from the flying object 6. This makes it easier for an operator spraying the puddles 4 to know which puddles 4 to spray the insecticide on, thereby increasing the speed and efficiency of the operator's spraying work.

[0061] According to one embodiment of the present invention configured as described above, the output step S6 of the mosquito breeding control program 2 displays the positional relationship between the position of the mobile information terminal 34 having the display device 34a and the puddle 4 evaluated as being high risk in the image obtained from the flying object 6. This makes it easier for the worker spraying the puddle 4 to understand the positional relationship between the position of the mobile information terminal 34 in his / her hand and the puddle 4 evaluated as being high risk. For example, even if there are many puddles 4 around the worker, the worker can recognize on the map which puddle 4 he / she should spray the puddle 4 with the insecticide, which further increases the speed and efficiency of the worker's spraying work.

[0062] According to one embodiment of the present invention configured in this manner, a computer-readable recording medium having recorded thereon the mosquito breeding inhibition program 2 as described above can be caused to execute predetermined steps to efficiently detect puddles 4 that are likely to house mosquito larvae 3.

[0063] According to one embodiment of the present invention configured as described above, a relatively wide range of images are acquired by the camera 10 provided on the flying object 6, and the depth of the puddle 4 can be estimated by the estimation device based on the position and size of the puddle 4 acquired by the camera 10 and the temperature of the puddle 4 measured by the temperature measurement device 8. This makes it possible to estimate the depth of the puddle 4, which is a biologically important factor in analyzing the puddle 4 in which mosquito larvae 3 are likely to live, and makes it possible to efficiently find the puddle 4 in which mosquito larvae 3 are likely to live based on the image acquired from the flying object 6. Therefore, since the puddle 4 in which mosquito larvae 3 are likely to live can be efficiently found, a limited number of workers can spray insecticide on the found puddle 4, thereby reducing the number of workers, labor, and amount of insecticide used.

[0064] According to one embodiment of the present invention configured as described above, the flying object 6 is a fixed-wing drone. Since a fixed-wing drone has a longer flight range than a multicopter drone, it can capture aerial images of a wider range in one flight and detect and evaluate more puddles 4. Therefore, puddles 4 that are likely to be inhabited by mosquito larvae 3 can be found early over a wide area.

[0065] According to one embodiment of the present invention configured as described above, the mosquito breeding control method executes an acquisition step S2 of acquiring the position and size of the puddle 4 in an image acquired from the flying object 6, a temperature measurement step S3 of acquiring the temperature of the puddle 4 whose position and size are acquired from the flying object 6, and an estimation step S4 of estimating the depth of the puddle 4 based on the position and size of the puddle 4 acquired in the acquisition step S2 and the temperature of the puddle 4 acquired in the temperature measurement step S3. This makes it possible to estimate the depth of the puddle 4, which is a biologically important factor in analyzing puddles 4 that are likely to be inhabited by mosquito larvae 3, and to efficiently find puddles 4 that are likely to be inhabited by mosquito larvae 3 based on the image acquired from the flying object 6. Therefore, since puddles 4 that are likely to be inhabited by mosquito larvae 3 can be efficiently found, a limited number of workers can spray insecticide on the found puddles 4, thereby reducing the number of workers, labor, and amount of insecticide used.

[0066] The embodiment of the present invention is not limited to the above, and further other modified examples may be applied. Various alternative embodiments and examples will be apparent to those skilled in the art based on the disclosed technology. The components in the mosquito breeding suppression program 2 can be freely rearranged to configure the mosquito breeding suppression program 2. The computer-readable recording medium can be configured to include the mosquito breeding suppression program 2 with the components freely rearranged. It is expressly stated that the computer-readable recording medium, the mosquito breeding suppression system, and the mosquito breeding suppression method may each be configured as a modified example including various variations of the components of the mosquito breeding suppression program 2.

[0067] The technology of this embodiment can be applied to the analysis of puddles where various mosquito larvae are likely to live. Therefore, the technology of this embodiment will be described in detail, including the following examples. The size, depth, and other conditions of puddles that mosquitoes prefer may differ depending on the type of mosquito. The technology of this embodiment can also be applied to the analysis of puddles 4 in which larvae of Culex tritaeniorhynchus are likely to live, as an example. Culex tritaeniorhynchus may transmit Japanese encephalitis. Culex tritaeniorhynchus larvae 3 prefer to live in relatively large puddles 4 formed in rice paddies, depressions, irrigation ditches, ponds, swamps, etc. Culex tritaeniorhynchus larvae 3 can live in water temperatures lower than those in which Anopheles larvae 3 live. Furthermore, Culex tritaeniorhynchus larvae 3 can live in puddles 4 that are larger than those in which Anopheles larvae 3 live and in which there is a current within the puddles 4. In analyzing puddles 4 that are likely to be inhabited by larvae of Culex tritaeniorhynchus, the estimation device 12 may evaluate the puddle 4 as having a high risk of inhabiting the larvae 3 when any, any combination, or all of the following conditions (1) to (3) are satisfied: (1) the puddle is deeper than 20 cm (e.g., between 20 cm and 200 cm deep); (2) the water temperature is between 20° C. and 34° C.; and (3) vegetation is present within a predetermined distance from the puddle. Note that instead of or in addition to any of the conditions, the puddle 4 may be a relatively large puddle with a size of more than 500 cm×500 cm.

[0068] As another example, the technology of this embodiment can also be applied to the analysis of puddles 4 in which larvae of Aedes aegypti or Aedes albopictus are likely to live. Aedes aegypti or Aedes albopictus may transmit dengue fever. The larvae 3 of Aedes aegypti or Aedes albopictus prefer to live not only in small puddles 4 formed on the ground, but also in very small puddles 4 formed in depressions in objects around our daily lives, such as water bottles, flower vases, empty cans, old tires, tree stumps, and blue tarps. The larvae 3 of Aedes aegypti or Aedes albopictus can live in water temperatures higher than the water temperatures in which the larvae 3 of Anopheles gambiae live. Therefore, in the analysis of the puddle 4 in which the larvae of Aedes aegypti or Aedes albopictus are likely to inhabit, the estimation device 12 may evaluate the puddle 4 as having a high risk of the larvae 3 inhabiting it when any, any combination, or all of the conditions (1) to (3) are satisfied, for example, (1) the depth of the puddle is shallower than 30 cm (for example, the depth is between 1 cm and 30 cm), (2) the water temperature is between 25°C and 34°C, and (3) vegetation exists within a predetermined distance from the puddle. Note that instead of or in addition to any of the conditions, the puddle 4 may be a relatively small puddle with a size of less than 30 cm x 30 cm. In this way, the technology of the present embodiment can estimate the depth of puddles preferred by mosquitoes for other mosquito-borne infectious diseases and analyze the puddles preferred by mosquitoes. [Explanation of symbols]

[0069] 1: Mosquito breeding control system 2: Mosquito breeding control program 3: Larvae 6: Flying object 8:Temperature measuring device 10: Camera 12: Estimation device 22:Display device 34: Mobile information terminal 34a:Display device F: Worker G: Ground

Claims

1. A mosquito breeding control program that analyzes puddles where mosquito larvae are likely to live based on images obtained from an aerial vehicle, the program comprising: acquiring a position and a size of the puddle in an image acquired from the flying object; a temperature measurement step of acquiring a temperature of the puddle by measuring the temperature from the flying object; A mosquito breeding control program that executes an estimation step of estimating the depth of the puddle based on the position and size of the puddle acquired in the acquisition step and the temperature of the puddle acquired in the temperature measurement step.

2. The mosquito breeding control program of claim 1 , wherein the estimation step of the mosquito breeding control program estimates the depth of the puddle by comparing the temperature of the puddle with the temperature of a reference puddle whose size and depth are specified.

3. 2. The mosquito breeding control program according to claim 1, wherein the estimation step of the mosquito breeding control program measures the temperature of the puddle at least two or more times at different times and estimates the depth of the puddle based on the measured temperature change.

4. The mosquito breeding control program according to claim 1 , further comprising an evaluation step of evaluating a risk of mosquito larvae inhabiting the puddle based on a depth of the puddle.

5. The mosquito breeding control program of claim 4, further comprising an output step of displaying on a display device puddles evaluated as high risk by the evaluation step, distinguished from other puddles in an image obtained from the flying object.

6. The mosquito breeding control program of claim 5, wherein the output step of the mosquito breeding control program displays the positional relationship between the position of the portable information terminal having the display device and a puddle evaluated as being at high risk in an image obtained from the flying object.

7. A computer-readable recording medium having the mosquito breeding control program according to any one of claims 1 to 6 recorded thereon.

8. A mosquito breeding control system that analyzes puddles where mosquito larvae are likely to live based on images obtained from an aerial vehicle, A flying object flying above the ground; A temperature measuring device provided on the flying object; A camera provided on the flying object; A mosquito breeding control system comprising: an estimation device that estimates the depth of the puddle based on the position and size of the puddle captured by the camera and the temperature of the puddle measured by the temperature measuring device.

9. The mosquito breeding control system of claim 8 , wherein the flying object is a fixed-wing drone.

10. A mosquito breeding control method for analyzing puddles in which mosquito larvae are likely to live based on images obtained from an aerial vehicle, comprising: acquiring a position and a size of the puddle in an image acquired from the flying object; a temperature measurement step of acquiring a temperature of the puddle whose position and size are acquired by measuring the temperature of the puddle from the flying object; A mosquito breeding control method comprising: executing an estimation step of estimating the depth of the puddle based on the position and size of the puddle acquired in the acquisition step and the temperature of the puddle acquired in the temperature measurement step.

Images