information processor

Abstract

Problem: To provide an information processor capable of effectively reducing the risk of infestation of a product. Solution: An information processor 10 predicts the risk of infestation of a product, the information processor including: a prediction unit configured to predict the effect of reducing the risk of infestation by changing at least one influence parameter that influences the risk of infestation for each of a plurality of candidate countermeasures; and a selection unit configured to select a countermeasure from the plurality of candidate countermeasures while prioritizing a countermeasure having a higher effect of reducing the risk of infestation based on the prediction result of the effect of reducing the risk of infestation provided by the prediction unit.

Description

TECHNICAL FIELD

[0001] The present application relates to an information processor. BACKGROUND

[0002] Agricultural techniques for protecting products from damage by pests (i.e., disease damage, which is damage to a product caused by a disease, or insect damage, which is damage to a product caused by an insect) have been proposed. Such techniques involve predicting a pest risk, i.e., a risk of an outbreak of a pest (see, for example, Patent Document 1).

[0003] LIST OF CITATIONS

[0004] PATENT DOCUMENT

[0005] [PTL 1] JP 2004-185222 A SUMMARY

[0006] PROBLEMS TO BE SOLVED BY THE INVENTION

[0007] A predicted pest risk is notified to a user (i.e., a farmer), and is used to protect a product from damage by a pest. However, the user can take a wide range of actions in response to the notification of the result of the pest risk prediction. Therefore, the user can have difficulty in selecting an action that effectively reduces the pest risk. As a result, it can be difficult to effectively reduce the pest risk of the product.

[0008] In view of this problem, an object of the present application is to provide an information processor that can effectively reduce the pest risk of a product.

[0009] MEANS FOR SOLVING THE PROBLEM

[0010] To solve the above problem, an information processor that predicts a pest risk of a product includes a prediction unit that predicts an effect of reducing the pest risk by changing at least one influence parameter that influences the pest risk for each of a plurality of countermeasure candidates, and a selection unit that selects a countermeasure from the plurality of countermeasure candidates while prioritizing a countermeasure having a higher effect of reducing the pest risk, on the basis of a prediction result of the effect of reducing the pest risk provided by the prediction unit.

[0011] ADVANTAGES OF THE INVENTION

[0012] The present application can effectively reduce the pest risk of a product. BRIEF DESCRIPTION OF DRAWINGS

[0013] [ Figure 1 ] Figure 1 is a schematic diagram showing an outline configuration of an information processing system that is a mode according to an embodiment of the present application.

[0014] [Figure 2 Figure 2 is a block diagram showing an embodiment of a functional configuration of an information processing server that illustrates a mode of an embodiment according to the present application.

[0015] [ Figure 3 Figure 3 is a flowchart showing an embodiment of a processing flow related to making a pest risk prediction by an information processing server that illustrates a mode of an embodiment according to the present application.

[0016] [ Figure 4 Figure 4 is a schematic diagram showing an embodiment of a prediction result of an effect of reducing a pest risk provided by a prediction unit that illustrates a mode of an embodiment according to the present application.

[0017] Mode of Embodiment of the Present Application

[0018] A preferred mode of an embodiment of the present application will be described in detail below with reference to the accompanying drawings. The dimensions, materials, and other specific numerical values and the like indicated in this mode of the embodiment are merely illustrative to help the understanding of the present application, and do not limit the present application unless specifically stated otherwise. Note that in the present specification and drawings, components having substantially the same function or configuration have the same reference symbols, and will not be given repetitive descriptions, and furthermore, components not directly related to the present application will be omitted from the drawings.

[0019] Configuration of Information Processing System

[0020] The configuration of the information processing system 1 according to the mode of an embodiment of the present application will be described with reference to Figure 1

[0021] Figure 1 is a schematic diagram showing an outline configuration of the information processing system 1.

[0022] As shown in Figure 1 , the information processing system 1 includes an information processing server 10, a user terminal 20, a sensor device 30, and a weather information server 40. The information processing server 10, the user terminal 20, the sensor device 30, and the weather information server 40 are capable of communicating via a wireless communication network. The information processing system 1 is a system for supporting product cultivation by a user Ul (the user Ul is a farmer) at a cultivation site Cl. Note that in the embodiment shown, the cultivation site Cl is a plastic greenhouse, but the cultivation site Cl can equally be a cultivation site other than a plastic greenhouse (for example, an uncovered open-air cultivation site, and the like). Figure 1

[0023] ​​​​​Note that the following description relates to an example of an embodiment of the information processing server 10 corresponding to the information processor according to the present application, but the information processor according to the present application can equally be other devices (for example, the user terminal 20) different from the information processing server 10. Further, the functions of the information processor according to the present application can equally be implemented by a plurality of devices (for example, the information processing server 10 and the user terminal 20). The functions of the information processor according to the present application can equally be implemented by means of, for example, cloud computing.

[0024] With the information acquired from each device (that is, the user terminal 20, the sensor device 30, and the weather information server 40), the information processing server 10 transmits valuable information on the product cultivation at the cultivation site Cl to the user terminal 20. The information transmitted from the information processing server 10 is displayed by means of the user terminal 20, thereby notifying the user Ul.

[0025] Specifically, the information processing server 10 predicts the pest risk of the product using the information acquired from each device, and transmits the result of the pest risk prediction to the user terminal 20. The pest risk refers to the risk of outbreak of pests. Further, the information processing server 10 can also transmit the information acquired from the sensor device 30 (specifically, the various types of detection data detected by means of the sensor device 30 in relation to the cultivation site Cl) to the user terminal 20. Note that the detailed configuration of the information processing server 10 will be described later.

[0026] The user terminal 20 is an information processing terminal (specifically, a smartphone) used by the user Ul. Note that in the embodiment shown, the user terminal 20 is a smartphone, but the user terminal 20 can equally be an information processing terminal different from a smartphone (for example, a tablet terminal or a stationary personal computer, etc.). Figure 1

[0027] The user terminal 20 has a function of receiving an input operation performed by the user Ul, and transmits input information (information input by the user Ul) to the information processing server 10. The input information from the user Ul includes, for example, information indicating the address of the cultivation site Cl, the size of the cultivation site Cl, the type of the product, the planting density of the product, the cultivation start time, the harvest time, or the application history of a chemical agent (for example, an agricultural chemical), etc. Further, the user terminal 20 has a function of visually displaying information, and displays the information received from the information processing server 10.

[0028] ​The sensor device 30 is installed in the cultivation site Cl, and includes a plurality of sensors. For example, the sensor device 30 includes a humidity sensor for detecting humidity in the cultivation site Cl, a temperature sensor for detecting air temperature in the cultivation site Cl, a carbon dioxide concentration sensor for detecting carbon dioxide concentration in the cultivation site Cl, or a solar radiation sensor for detecting solar radiation amount in the cultivation site Cl, and the like.

[0029] The sensor device 30 transmits detection data from the sensors provided in the sensor device 30 to the information processing server 10. For example, the sensors detect a plurality of physical quantities at detection times separated at a predetermined time interval, and the sensor device 30 transmits the detection data from the sensors to the information processing server 10 at the detection times.

[0030] The weather information server 40 provides weather information to an external device. Specifically, the weather information server 40 transmits weather information in a region including the cultivation site Cl to the information processing server 10 according to a request from the information processing server 10. The weather information is information related to weather, and includes, for example, information indicating temperature of outside air (i.e., outside air temperature), humidity of outside air, solar radiation amount, or rainfall amount, and the like.

[0031] Configuration of information processing server

[0032] The configuration of the information processing server 10 according to the embodiment of the present application will be described with reference to Figure 2

[0033] The information processing server 10 includes, for example, a CPU (Central Processing Unit) which is an arithmetic processing device, a ROM (Read Only Memory) which is a memory element for storing programs and calculation parameters used by the CPU, and the like, and a RAM (Random Access Memory) which is a memory element for temporarily storing parameters and the like which are appropriately changed for implementation by the CPU and the like.

[0034] Figure 2 is a block diagram showing an example of functional configuration of the information processing server 10.

[0035] As shown in Figure 2 The information processing server 10 includes, for example, a communication unit 11, a control unit 12, and a storage unit 13. Note that the communication unit 11 corresponds to an example of the output unit according to the present application.

[0036] ​The communication unit 11 communicates with the devices in the information processing system 1. Specifically, the communication unit 11 receives information transmitted from the devices, i.e., the user terminal 20, the sensor device 30, and the weather information server 40, and outputs the acquired information to the control unit 12 and the storage unit 13. Further, the communication unit 11 transmits information generated by the control unit 12 to the user terminal 20.

[0037] The control unit 12 performs various types of processing for generating information transmitted to the user terminal 20. As shown in Figure 2 The control unit 12 includes a prediction unit 12a and a selection unit 12b that operate in cooperation with, for example, a program.

[0038] The prediction unit 12a predicts a pest risk of a product. Specifically, the prediction unit 12a predicts a pest risk of a product by using a prediction model learned in advance. When information transmitted from each device, i.e., the user terminal 20, the sensor device 30, and the weather information server 40 is input, the prediction model outputs a pest risk of a product. The prediction model can be constructed according to an existing algorithm such as a support vector machine, or it can be a time series model.

[0039] The selection unit 12b performs processing in cooperation with the prediction unit 12a so that the user takes an action to effectively reduce a pest risk. Specifically, the processing performed by the prediction unit 12a so that the user takes an action to effectively reduce a pest risk includes predicting an effect of reducing a pest risk of each of a plurality of candidate countermeasures to change at least one influence parameter that influences a pest risk. Subsequently, the selection unit 12b selects a countermeasure from the plurality of candidate countermeasures while prioritizing a countermeasure having a higher effect of reducing a pest risk, on the basis of a prediction result of the effect of reducing a pest risk provided by the prediction unit 12a. In this way, it is possible to cause the user U1 to take an action that will result in a change in an influence parameter for effectively reducing a pest risk, in other words, an action for effectively reducing a pest risk. Therefore, it is possible to effectively reduce a pest risk of a product. Details of the processing related to this pest risk prediction by the information processing server 10 will be described later.

[0040] The storage unit 13 stores information used when the control unit 12 performs processing. Specifically, the storage unit 13 stores information transmitted from each device, i.e., the user terminal 20, the sensor device 30, and the weather information server 40.

[0041] Operation of information processing server

[0042] The operation of the information processing server 10 according to the mode of the embodiment of the present application will be described with reference to Figure 3 and Figure 4 the drawings.

[0043] Figure 3 is a flowchart showing an embodiment of a processing flow relating to making a pest risk prediction by the information processing server 10. Figure 3 The processing flow shown in Figure 3 Steps S101 and S109 in correspond to Figure 3 the start and end of the processing flow shown in

[0044] When Figure 3 When the processing flow shown in

[0045] In step S102, the prediction unit 12a predicts the pest risk of the product by using the input information from the user Ul acquired from the user terminal 20 (e.g., information indicating the address of the cultivation site Cl, the size of the cultivation site Cl, the type of the product, the planting density of the product, the cultivation start time, the harvest time, or the application history of the chemical agent, and the like), the sensor information acquired from the sensor device 30 (e.g., information indicating the humidity within the cultivation site Cl, the air temperature within the cultivation site Cl, the carbon dioxide concentration within the cultivation site Cl, or the solar radiation amount within the cultivation site Cl, and the like), and the weather information acquired from the weather information server 40 (e.g., information indicating the outside air temperature, the humidity of the outside air, the solar radiation amount, or the rainfall amount, and the like), and also by using the prediction model. Note that the prediction unit 12a can also predict the pest risk of the product while taking into account the control automatically performed by each device (e.g., a heating device, and the like) that can affect the environment within the cultivation site Cl.

[0046] In step S103 following step S102, the control unit 12 determines whether the pest risk is higher than a reference. If it is determined that the pest risk is higher than the reference (step S103 / YES), the processing flow proceeds to step S104, and processing is performed so that the user Ul takes action to effectively reduce the pest risk (specifically, steps S104 to S107). If it is determined that the pest risk is lower than the reference (step S103 / NO), the processing flow proceeds to step S108, the communication unit 11 transmits the result of predicting the pest risk to the user terminal 20, and Figure 3 the processing flow shown in

[0047] The reference in step S103 is used to determine whether it is necessary for the user U1 to take action to protect the product from the pest. That is, if the predicted pest risk is considered to be higher than the reference, it can be determined that it is necessary for the user U1 to take action to protect the product from the pest. For example, if the value of the predicted pest risk is higher than the reference value, the control unit 12 determines that the pest risk is higher than the reference.

[0048] If the determination in step S103 is YES, in step S104, the prediction unit 12a determines a plurality of candidate countermeasures for changing at least one influence parameter that influences the pest risk.

[0049] The countermeasure in this specification governs which influence parameter is changed and the manner of the change thereof. Furthermore, the prediction unit 12a can also determine a countermeasure for changing a plurality of influence parameters as a candidate.

[0050] The influence parameter can include, for example, an environmental parameter related to the environment at the cultivation site Cl of the product. For example, the humidity within the cultivation site Cl, the air temperature within the cultivation site Cl, the carbon dioxide concentration within the cultivation site Cl, or the solar radiation amount within the cultivation site Cl, and the like can be used as the environmental parameter. Furthermore, the environmental parameter can be detected by the sensor device 30, or the environmental parameter can not be a parameter detected by the sensor device 30 (for example, the soil moisture at the cultivation site Cl, and the like).

[0051] Examples of the countermeasure for changing the humidity within the cultivation site Cl are a countermeasure for increasing the humidity by 5%, a countermeasure for increasing the humidity by 10%, a countermeasure for decreasing the humidity by 5%, a countermeasure for decreasing the humidity by 10%, and the like.

[0052] Examples of the countermeasure for changing the air temperature within the cultivation site Cl are a countermeasure for increasing the air temperature by 1°C, a countermeasure for increasing the air temperature by 2°C, a countermeasure for decreasing the air temperature by 1°C, a countermeasure for decreasing the air temperature by 2°C, and the like.

[0053] Examples of the countermeasure for changing the carbon dioxide concentration within the cultivation site Cl are a countermeasure for increasing the carbon dioxide concentration by 5%, a countermeasure for increasing the carbon dioxide concentration by 10%, a countermeasure for decreasing the carbon dioxide concentration by 5%, a countermeasure for decreasing the carbon dioxide concentration by 10%, and the like.

[0054] Examples of the countermeasure for changing the solar radiation amount within the cultivation site Cl are a countermeasure for increasing the solar radiation amount by 1 MJ / m2, a countermeasure for increasing the solar radiation amount by 2 MJ / m2, a countermeasure for decreasing the solar radiation amount by 1 MJ / m2, a countermeasure for decreasing the solar radiation amount by 2 MJ / m2, and the like. 2 2 2 2 ​​​​

[0055] Further, the influence parameters may, for example, also include a chemical application parameter relating to chemical application at the cultivation site Cl. For example, a chemical application time within the cultivation site Cl, a chemical application amount within the cultivation site Cl, or a type of chemical applied within the cultivation site Cl, etc. can be used as the chemical application parameter.

[0056] Examples of countermeasures for changing the application time within the cultivation site Cl are a countermeasure for accelerating the application time, and a countermeasure for delaying the application time, etc.

[0057] Examples of countermeasures for changing the chemical application amount within the cultivation site Cl are a countermeasure for increasing the application amount by 100 L / 1000 m 2 , and a countermeasure for decreasing the application amount by 100 L / 1000 m 2 , etc.

[0058] Examples of countermeasures for changing the type of chemical applied within the cultivation site Cl are a countermeasure for changing the chemical used to a chemical having a different effect from the effect of the chemical currently used, etc.

[0059] As described above, the prediction unit 12a can also determine countermeasures that specify changes in a plurality of influence parameters as candidates. Examples of such countermeasures are a countermeasure for increasing the humidity within the cultivation site Cl by 5% and increasing the carbon dioxide concentration within the cultivation site Cl by 5%, or a countermeasure for increasing the air temperature within the cultivation site Cl by 1°C and accelerating the application time, etc.

[0060] Here, changes in weather conditions such as the outside air temperature or the humidity of the outside air are factors that influence the pest risk. Therefore, the prediction unit 12a preferably determines a plurality of candidate countermeasures from the viewpoint of appropriately determining countermeasures that will be effective in reducing the pest risk based on weather information (for example, weather information for the day, weather information one day later, and weather information two days later).

[0061] In step S105 following step S104, the prediction unit 12a predicts the effect of reducing the pest risk for each of the plurality of candidate countermeasures.

[0062] The effect of reducing the pest risk means the degree to which the pest risk is reduced when the countermeasure is taken (i.e., when the influence parameter specified by the countermeasure has changed) relative to the pest risk when the countermeasure is not taken (i.e., the pest risk predicted in step S102). In other words, the higher the effect of reducing the pest risk, the more the pest risk is reduced as a result of taking the countermeasure.

[0063] Specifically, under the condition that the influence parameter specified by the countermeasure is to be changed, the prediction unit 12a predicts the pest risk of the product for each candidate in the same manner as in step S102. For example, when a countermeasure of increasing the humidity within the cultivation site Cl by 5% is determined as a candidate, the pest risk of the product is predicted for the candidate under the condition that the humidity within the cultivation site Cl is increased by 5% from the current humidity.

[0064] In step S106 subsequent to step S105, the selection unit 12b selects a countermeasure from among the plurality of candidate countermeasures based on the prediction result of the effect of reducing the pest risk provided by the prediction unit 12a. Specifically, the selection unit 12b makes the selection while prioritizing countermeasures having a higher effect of reducing the pest risk.

[0065] Figure 4 is a diagram illustrating an example of the prediction result of the effect of reducing the pest risk provided by the prediction unit 12a. Figure 4 The horizontal axis Al in is an axis for classifying each candidate countermeasure, and the vertical axis A2 indicates the effect of reducing the pest risk.

[0066] Figure 4 The example illustrated in illustrates five candidate countermeasures: candidate Ml, candidate M2, candidate M3, candidate M4, and candidate M5. Each candidate has a different effect of reducing the pest risk, which increases in the following order: candidate Ml, candidate M4, candidate M3, candidate M5, candidate M2. That is, candidate M2 has the highest effect of reducing the pest risk, and candidate Ml has the lowest effect of reducing the pest risk.

[0067] The selection unit 12b, for example, selects a countermeasure having the highest effect of reducing the pest risk from among the plurality of candidate countermeasures. For example, in the example illustrated in Figure 4 In the example illustrated in, the selection unit 12b selects a countermeasure corresponding to candidate M2, which has the highest effect of reducing the pest risk among candidate Ml, candidate M2, candidate M3, candidate M4, and candidate M5.

[0068] Here, the selection unit 12b preferably makes the selection by prioritizing countermeasures having a higher effect of reducing the pest risk and then prioritizing countermeasures implemented with less labor from the perspective of reducing the pest risk of the product with less labor. For example, in the example illustrated in Figure 4 In the example illustrated in, the selection unit 12b, for example, can select a countermeasure corresponding to a candidate implemented with the least labor from among candidate M2, candidate M3, and candidate M5, which are candidates having an effect of reducing the pest risk higher than the threshold TH. Note that a candidate other than candidate M2 having the highest effect of reducing the pest risk, i.e., candidate M3 or candidate M5, is sometimes also selected as a result.

[0069] Further, the selection unit 12b preferably makes the selection by prioritizing countermeasures having a higher effect of reducing the pest risk and then prioritizing countermeasures implemented at a lower cost from the perspective of reducing the pest risk of the product at a lower cost. Figure 4 In the embodiment illustrated in FIG. 10, the selection unit 12b, for example, can select a countermeasure corresponding to a candidate implemented at the lowest cost from among the candidates M2, M3, and M5 that are candidates having an effect of reducing the pest risk higher than the threshold value TH. Note that a candidate other than the candidate M2 having the highest effect of reducing the pest risk, i.e., either the candidate M3 or the candidate M5, is sometimes selected as a result.

[0070] In addition, the selection unit 12b can also select a countermeasure from among a plurality of candidate countermeasures while taking both labor and cost into consideration. For example, the selection unit 12b can make a selection taking both labor and cost into consideration by using a first score that increases as the amount of labor decreases and a second score that increases as the cost decreases. In Figure 4 In the embodiment illustrated in FIG. 10, the selection unit 12b, for example, can determine the first score and the second score for each of the candidates M2, M3, and M5 that are candidates having an effect of reducing the pest risk higher than the threshold value TH, and then can select a candidate having the smallest total value of the first score and the second score from among the candidate M2, the candidate M3, and the candidate M5. In another embodiment, the selection unit 12b can determine the first score and the second score for each of the candidates M2, M3, and M5 that are candidates having an effect of reducing the pest risk higher than the threshold value TH, and then can select a candidate having the largest total value of the first score and the second score from among the candidate M2, the candidate M3, and the candidate M5.

[0071] In step S107 following step S106, the communication unit 11 transmits the prediction result of the pest risk and countermeasure information related to the countermeasure selected by means of the selection unit 12b to the user terminal 20, Figure 3 The processing flow illustrated in FIG. 10 ends.

[0072] The countermeasure information, for example, can include information indicating a change in the impact parameter of the countermeasure selected by means of the selection unit 12b. In this case, the information indicating the change in the impact parameter of the countermeasure selected by means of the selection unit 12b is transmitted from the information processing server 10 to the user terminal 20 and displayed by means of the user terminal 20, thereby notifying the user U1. For example, if the countermeasure of increasing the humidity in the cultivation site Cl by 5% has been selected by the selection unit 12b, information indicating that the humidity in the cultivation site Cl is increased by 5% will be transmitted from the information processing server 10 to the user terminal 20, thereby notifying the user U1.

[0073] It should be noted that a plurality of influence parameters can be changed in conjunction with each other. For example, when the temperature within the cultivation site Cl is increased, the humidity within the cultivation site Cl is generally inclined to be decreased. When the countermeasure prescribed by the selection unit 12b specifies a change of a plurality of influence parameters (e.g., the temperature within the cultivation site Cl and the humidity within the cultivation site Cl) that are changed in conjunction with each other, then one influence parameter can be changed, and in turn, an influence parameter different from the influence parameter to be changed. Therefore, in this case, the communication unit 11 can transmit information indicating a change of only one influence parameter as the countermeasure information to the user terminal 20. As a result, it is possible to limit excessive information to be notified to the user Ul, so that the user Ul will easily recognize the action that results in the change of the influence parameter of the countermeasure selected by the selection unit 12b.

[0074] Furthermore, the countermeasure information can include information indicating an action for the user Ul to take to result in the change of the influence parameter of the countermeasure selected by the selection unit 12b. In this case, the information indicating the action for the user Ul to take to result in the change of the influence parameter of the countermeasure selected by the selection unit 12b is transmitted from the information processing server 10 to the user terminal 20, and displayed by the user terminal 20, so as to notify the user Ul. For example, if the countermeasure of increasing the humidity within the cultivation site Cl by 5% has been selected by the selection unit 12b, the information indicating the action of spraying water within the cultivation site Cl for a predetermined period (e.g., for 10 minutes) is transmitted from the information processing server 10 to the user terminal 20, so as to notify the user Ul.

[0075] Here, the correspondence relationship between each countermeasure and the action taken by the user Ul resulting in the change of the influence parameter of the countermeasure can be set in a variety of forms as follows. It should be noted that the information processing server 10 can specifically perform the processing related to the prediction of the pest risk for a plurality of users, and this correspondence relationship can be changed according to the user.

[0076] For example, the countermeasure of changing (i.e., increasing or decreasing) the humidity within the cultivation site Cl can correspond to the action of opening or closing a window in the cultivation site Cl.

[0077] Furthermore, for example, the countermeasure of changing (i.e., increasing or decreasing) the air temperature within the cultivation site Cl can correspond to the action of operating a heating device within the cultivation site Cl, or can correspond to the action of opening or closing a window within the cultivation site Cl. Furthermore, the countermeasure of decreasing the air temperature within the cultivation site Cl can correspond to the action of spraying water in the heating operation within the cultivation site Cl.

[0078] Furthermore, for example, measures to change (i.e., increase or decrease) the carbon dioxide concentration within cultivation site C1 could correspond to opening or closing the windows within cultivation site C1. Additionally, measures to increase the carbon dioxide concentration within cultivation site C1 could correspond to operating the carbon dioxide generator within cultivation site C1.

[0079] Furthermore, for example, countermeasures to change (i.e., increase or decrease) the amount of solar radiation in the cultivation site C1 can correspond to the action of opening or closing the curtains set in the windows of the cultivation site C1.

[0080] Furthermore, countermeasures such as changing (i.e., speeding up or delaying) the application time within the cultivation site C1 can correspond to the action of applying chemical agents at the changed application time.

[0081] Furthermore, countermeasures such as changing (i.e., increasing or decreasing) the amount of chemical agent applied in the cultivation site C1 can correspond to the action of applying the chemical agent at a changed amount.

[0082] Furthermore, the countermeasure of changing the type of chemical agent applied in cultivation site C1 can correspond to the action of applying a different type of chemical agent.

[0083] It should be noted that the above references... Figure 3 The flowchart in the document describes an embodiment in which the effect of reducing pest risk is predicted for all the multiple candidate countermeasures determined in step S104. However, the prediction unit 12a can similarly omit the prediction of the effect of reducing pest risk for some of the multiple candidate countermeasures determined in step S104 by using existing optimization algorithms, etc. Specifically, the prediction unit 12a can use the prediction results of the effect of reducing pest risk for several of the multiple candidate countermeasures, thereby omitting the prediction of the effect of reducing pest risk for candidate countermeasures that are expected to have a relatively low effect of reducing pest risk. This allows for a reduction in the processing load of the information processing server 10 (e.g., the load of the prediction processing in step S105).

[0084] Furthermore, the above describes a process for pest risk prediction based on selecting any one of multiple candidate countermeasures. However, it is equally feasible not to select a countermeasure from multiple candidates. For example, when no candidate has a threshold (e.g., Figure 4The selection unit 12b can determine that none of the candidates have sufficient effects of reducing the pest risk, and can not select a countermeasure from among the plurality of candidate countermeasures, when the effects of reducing the pest risk are lower than the threshold value TH) indicated in the table. In this case, the communication unit 11 can transmit an indication that none of the candidates have sufficient effects of reducing the pest risk, or an indication that there is no countermeasure that can effectively reduce the pest risk, to the user terminal 20, for example. This makes it possible to encourage the user Ul to investigate other plans for effectively reducing the pest risk.

[0085] Furthermore, in the embodiment described above, one countermeasure is selected from among the plurality of candidate countermeasures, but the selection unit 12b can likewise select two or more countermeasures (specifically, a number of countermeasures that is smaller than the number of candidates) from among the plurality of candidate countermeasures. In this case, the user Ul can be allowed to select an action to be taken from among the selected countermeasures, and can be allowed to take an action for effectively reducing the pest risk. Thus, it is possible to effectively reduce the pest risk of the product. Figure 4 In the illustrated embodiment, the selection unit 12b can select, for example, three countermeasures that respectively correspond to the candidate M2, the candidate M3, and the candidate M5, which are candidates whose effects of reducing the pest risk are higher than the threshold value TH. In this case, the action selection taken by the user Ul can also be limited, so that the user Ul can be caused to take an action for effectively reducing the pest risk. Thus, it is possible to effectively reduce the pest risk of the product. Note that the plurality of countermeasures selected can be a plurality of countermeasures that can be implemented at the same time (for example, a countermeasure to increase the humidity in the cultivation site Cl by 5% and a countermeasure to increase the solar radiation amount by 1 MJ / m2) or a plurality of countermeasures that cannot be implemented at the same time (for example, a countermeasure to increase the humidity in the cultivation site Cl by 5% and a countermeasure to increase the humidity in the cultivation site Cl by 10%). 2

[0086] Advantages of the information processing server

[0087] Advantages of the information processing server according to the mode of the embodiment will be described.

[0088] In the information processing server 10 according to the mode of the embodiment, the prediction unit 12a predicts the effect of reducing the pest risk to change at least one influence parameter that affects the pest risk for each of the plurality of candidate countermeasures. Subsequently, the selection unit 12b selects a countermeasure from among the plurality of candidate countermeasures while prioritizing a countermeasure that has a higher effect of reducing the pest risk, on the basis of the prediction result of the effect of reducing the pest risk provided by the prediction unit 12a. In this way, it is possible to cause the user Ul to take an action that will result in a change in the influence parameter for effectively reducing the pest risk (in other words, an action that effectively reduces the pest risk). Thus, it is possible to effectively reduce the pest risk of the product.

[0089] ​Further, in the information processing server 10 according to the embodiment of this mode, the selection unit 12b preferably makes the selection by prioritizing the countermeasures having higher effects of reducing the pest risk and then prioritizing the countermeasures implemented with less labor. By this means, it is possible to make the user U1 take an action that will lead to a change in the influence parameter for effectively reducing the pest risk with less labor (in other words, an action for effectively reducing the pest risk with less labor). Thus, it is possible to reduce the pest risk of the product with less labor.

[0090] Further, in the information processing server 10 according to the embodiment of this mode, the selection unit 12b preferably makes the selection by prioritizing the countermeasures having higher effects of reducing the pest risk and then prioritizing the countermeasures implemented with less labor. By this means, it is possible to make the user U1 take an action that will lead to a change in the influence parameter for effectively reducing the pest risk with less labor (in other words, an action for effectively reducing the pest risk with less labor). Thus, it is possible to reduce the pest risk of the product with less labor.

[0091] Further, in the information processing server 10 according to the embodiment of this mode, the output unit (for example, the communication unit 11) preferably outputs the countermeasure information related to the countermeasure selected by means of the selection unit 12b. By this means, it is possible to notify the user U1 of the countermeasure information related to the countermeasure selected by means of the selection unit 12b. Thus, it is possible to appropriately achieve the user U1 taking an action for effectively reducing the pest risk.

[0092] Note that, in the above-described embodiment, the communication unit 11 of the information processing server 10 serves as the output unit, but when the functions of the information processing device according to the present application are implemented by means of the user terminal 20, the display control unit (a functional unit for controlling the operation of a display device) of the user terminal 20 may, for example, correspond to the output unit. In this case, the display control unit of the user terminal 20 causes, for example, the display device to display the countermeasure information.

[0093] Further, in the information processing server 10 according to the embodiment of this mode, the countermeasure information preferably includes information indicating that the countermeasure selected by means of the selection unit 12b changes the influence parameter. By this means, it is possible to notify the user U1 of the information indicating that the countermeasure selected by means of the selection unit 12b changes the influence parameter. Thus, it is possible to appropriately achieve the user U1 taking an action for effectively reducing the pest risk.

[0094] Further, in the information processing server 10 according to the embodiment in this mode, the countermeasure information preferably includes information indicating the user U1 to take an action to cause the countermeasure selected by the selection unit 12b to change the influence parameter. By this means, the user U1 can be notified of the information indicating the user U1 to take an action to cause the countermeasure selected by the selection unit 12b to change the influence parameter. Therefore, the user U1 can more intuitively determine an action to effectively reduce the pest risk, so that it is possible to even more appropriately achieve the user U1 to take an action to effectively reduce the pest risk.

[0095] Further, in the information processing server 10 according to the embodiment in this mode, the prediction unit 12a preferably determines a plurality of candidate countermeasures based on weather information (e.g., weather information for the day, weather information for one day later, and weather information for two days later). By this means, it is possible to determine the candidate countermeasures while taking into account weather (e.g., a change in the outside air temperature or a change in the humidity of the outside air, etc.) that influences the pest risk. Therefore, it is possible to appropriately determine a countermeasure for effectively reducing the pest risk as a candidate.

[0096] Further, in the information processing server 10 according to the embodiment in this mode, the influence parameter preferably includes an environmental parameter related to the environment at the cultivation site C1 of the product. By this means, it is possible to effectively reduce the pest risk by causing the user U1 to take an action that will cause the environmental parameter to change. Therefore, it is possible to appropriately achieve the pest risk of the product to be effectively reduced.

[0097] Further, in the information processing server 10 according to the embodiment in this mode, the influence parameter preferably includes a chemical agent application parameter related to chemical agent application at the cultivation site C1 of the product. By this means, it is possible to effectively reduce the pest risk by causing the user U1 to take an action that will cause the chemical agent application parameter to change. Therefore, it is possible to appropriately achieve the pest risk of the product to be effectively reduced.

[0098] The preferred modes of the embodiments of the present application are described above with reference to the drawings, but the present application is of course not limited to the embodiments of the modes mentioned above, and it goes without saying that various modified examples or modified examples within the scope described in the patent claims also belong to the technical scope of the present application.

[0099] For example, the processes described in the present specification by means of flowcharts are not necessarily implemented in the order shown in the flowcharts. A plurality of processing steps can be implemented in parallel. Furthermore, additional processing steps can be employed, or some processing steps can be omitted.

[0100] Furthermore, a series of control processes provided by the information processing server 10 described above can be implemented by using any one of software, hardware, or a combination of software and hardware. A program constituting the software is stored in advance in a recording medium provided inside or outside the information processing device.

[0101] Important features and symbols

[0102] 1 Information processing system

[0103] 10 Information processing server (information processing device)

[0104] 11 Communication unit (output unit)

[0105] 12 Control unit

[0106] 12a Prediction unit

[0107] 12b Selection unit

[0108] 13 Memory unit

[0109] 20 User terminal

[0110] 30 Sensor device

[0111] 40 Weather information server

[0112] C1 Cultivation site

[0113] U1 User

Claims

1. An information processor (10) for predicting a pest risk of a product, the information processor comprising: a prediction unit (12a) for predicting an effect of reducing a pest risk for each of a plurality of candidate countermeasures to change at least one influence parameter that influences the pest risk; and a selection unit (12b) for selecting a countermeasure from the plurality of candidate countermeasures while prioritizing countermeasures with a higher effect of reducing the pest risk based on a prediction result of the effect of reducing the pest risk provided by the prediction unit (12a).

2. The information processor according to claim 1, wherein the selection unit (12b) makes the selection by prioritizing countermeasures with a higher effect of reducing the pest risk and subsequently prioritizing countermeasures that are implemented with less labor.

3. The information processor according to claim 1, wherein the selection unit (12b) makes the selection by prioritizing countermeasures with a higher effect of reducing the pest risk and subsequently prioritizing countermeasures that are implemented with lower cost.

4. The information processor according to claim 2, wherein the selection unit (12b) makes the selection by prioritizing countermeasures with a higher effect of reducing the pest risk and subsequently prioritizing countermeasures that are implemented with lower cost.

5. The information processor according to claim 1, comprising an output unit (11) for outputting countermeasure information related to the countermeasure selected by means of the selection unit (12b).

6. The information processor according to claim 2, comprising an output unit (11) for outputting countermeasure information related to the countermeasure selected by means of the selection unit (12b).

7. The information processor according to claim 3, comprising an output unit (11) for outputting countermeasure information related to the countermeasure selected by means of the selection unit (12b).

8. The information processor according to claim 4, comprising an output unit (11) for outputting countermeasure information related to the countermeasure selected by means of the selection unit (12b).

9. The information processor according to any one of claims 5 to 8, wherein the countermeasure information includes information indicating that the countermeasure selected by means of the selection unit (12b) changes the influence parameter.

10. The information processor according to any one of claims 5 to 8, wherein the countermeasure information includes information indicating that a user (Ul) takes an action to cause the countermeasure selected by means of the selection unit (12b) to change the influence parameter.

11. The information processor according to any one of claims 1 to 8, wherein the prediction unit (12a) determines the plurality of candidate countermeasures based on weather information.

12. The information processor according to any one of claims 1 to 8, wherein the influence parameter includes an environmental parameter related to an environment at a cultivation site (Cl) of the product.

13. The information processor according to any one of claims 1 to 8, wherein the influence parameter includes a chemical agent application parameter related to a chemical agent application at the cultivation site (Cl) of the product.

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