Plant cultivation support system, plant cultivation support method, and program

Abstract

In plant cultivation, conventional technologies that present measured values ​​and condition evaluation results require users to interpret and make decisions regarding appropriate actions, which can lead to delays in taking appropriate action. [Solution] Based on the temporal changes of multiple environmental values ​​related to the plant's cultivation environment, the cause category that led to the plant's condition is estimated, and specific actions based on that cause category are generated. Furthermore, the system includes a display control unit that suppresses the display of the plant's condition or evaluation results and prioritizes the display of the aforementioned actions.

Description

Technical Field

[0001] The present invention relates to a plant cultivation support system, a plant cultivation support method, and a program. In particular, it relates to a plant cultivation support system that estimates a cause category that has led to the state of a plant based on the temporal changes of a plurality of environmental values related to the cultivation environment of the plant, generates action contents based on the cause category, and preferentially presents them to a user.

Background Art

[0002] In home gardening, sensors for measuring cultivation environments such as moisture, temperature, and light quantity, and applications for displaying the measured values have been proposed, and it is becoming possible for users to visualize the cultivation environment itself.

[0003] For example, techniques for measuring the surrounding environment or soil environment of a plant and grasping the plant state based on the measured values are known (see, for example, Patent Documents 1 and 2). In addition, techniques for comparing the measured environmental data with reference data suitable for plant growth and presenting a growth guide to a user have also been proposed (see, for example, Patent Document 3).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

Patent Document 3

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, most of the conventional techniques only present measured values, state evaluation results, or growth guides to users, and users themselves have to interpret the information and determine corresponding actions.

[0006] Therefore, especially for users unfamiliar with plant cultivation, it was difficult to properly interpret the relationships between multiple environmental values ​​and their changes over time, leading to challenges such as increased operational burden for checking status, screen transitions, or comparing and verifying multiple pieces of information.

[0007] Furthermore, relying on a single measurement alone sometimes failed to adequately identify the causes of problems such as insufficient water supply, increased transpiration due to high temperatures, decreased water absorption due to low temperatures, or stress caused by chronic light deficiency or excessive light.

[0008] Furthermore, conventional technologies typically present measured values ​​or status evaluation results to the user, requiring the user to interpret this information and then select appropriate actions. This can lead to delays in the execution of recommended tasks, sometimes resulting in poor growth or plant death.

[0009] The present invention has been made in view of the above problems, and aims to provide a plant cultivation support system, a plant cultivation support method, and a program that can support appropriate cultivation management by estimating the cause of the plant's condition based on multiple environmental values ​​related to the plant's cultivation environment and their temporal changes, and by generating action content based on that cause and presenting it preferentially to the user. [Means for solving the problem]

[0010] A plant cultivation support system according to one aspect of the present invention is a plant cultivation support system that assists in the cultivation management of plants, An acquisition unit that acquires measurement values ​​related to the plant cultivation environment, A storage unit that stores the measured values ​​in association with time information, A trend detection unit detects trend information representing the temporal progression of each of the multiple environmental values ​​included in the measured value, based on the measured value stored in the storage unit. A condition determination unit that determines the state of a plant by comparing the measured value and / or the trend information with appropriate range information associated with the plant, A cause estimation unit estimates the cause category that led to the state based on the aforementioned multiple environmental values ​​and / or trend information, through inference processing based on multiple conditions or weights. Based on the estimated results of the aforementioned cause categories, an action generation unit generates the actions that the user should take, A display unit that presents the aforementioned actions to the user, In the presentation by the presentation unit, a presentation control unit suppresses the presentation of the plant's condition or the evaluation results of that condition, and prioritizes the presentation of the action content, It is equipped with.

[0011] Furthermore, a plant cultivation support method according to one aspect of the present invention is a plant cultivation support method that supports the cultivation management of plants, The process of obtaining measurement values ​​related to the plant cultivation environment, A step of storing the measured value in association with time information, A step of detecting trend information representing the temporal changes of each of the multiple environmental values ​​based on the stored measurement values, A step of determining the state of a plant by comparing the measured values ​​and / or the trend information with appropriate range information associated with the plant, A step of estimating the cause category that led to the state based on the aforementioned multiple environmental values ​​and / or the aforementioned trend information, by an inference process based on multiple conditions or weights, A step of generating the actions that the user should take based on the estimated results of the aforementioned cause categories, A process of prioritizing the presentation of the content of the action to the user while suppressing the presentation of the state of the plant or the evaluation results of said state, Includes.

[0012] Furthermore, a program according to one aspect of the present invention causes a computer to execute the above-described plant cultivation support method. [Effects of the Invention]

[0013] According to the present invention, by estimating the cause of the plant state based on a plurality of environmental values related to the cultivation environment of the plant and their temporal changes, generating the content of actions based on the cause, and preferentially presenting it to the user, a plant cultivation support system, a plant cultivation support method, and a program capable of assisting appropriate cultivation management can be provided.

Brief Description of the Drawings

[0014] [Figure 1] It is a block diagram showing a schematic configuration of a plant cultivation support system according to an embodiment of the present invention. [Figure 2] It is a flowchart showing an example of the processing procedure of trend detection, cause estimation, and action proposal presentation in the plant cultivation support system.

Modes for Carrying Out the Invention

[0015] Hereinafter, embodiments of the present invention will be described. Note that the following embodiments are examples of the present invention, and the present invention is not limited to the following embodiments. Also, not all of the components shown in the embodiments are essential components of the present invention.

[0016] This system 100 includes a measurement sensor 10, an information processing terminal 20, and a cloud server 30. The measurement sensor 10 can acquire measurement values related to the cultivation environment such as soil, medium, or nutrient solution.

[0017] The measurement values include moisture, temperature, and light quantity, and may include electrical conductivity (EC) or pH as necessary.

[0018] Note that the functional sharing between the information processing terminal 20 and the cloud server 30 is an example, and all or part of each process may be executed by the information processing terminal 20, may be executed by the cloud server 30, or may be executed distributively by both.

[0019] In this specification, the "acquisition unit," "storage unit," "trend detection unit," "state determination unit," "cause estimation unit," "behavior generation unit," "presentation unit," and "presentation control unit" may be implemented as processing functions executed by the information processing terminal 20 and / or the cloud server 30.

[0020] For example, the acquisition unit may be implemented as a process that receives measured values ​​related to the plant cultivation environment from the measurement sensor 10. The memory unit may be implemented as a process that stores the received measurement values ​​in association with time information and manages them as time-series data.

[0021] The trend detection unit may be implemented as a process that detects the amount of change, rate of change, duration, or trend within a predetermined period for each of the multiple environmental values ​​based on the measured values.

[0022] The state determination unit may be implemented as a process that determines the state of a plant by comparing measured values ​​and / or trend information with appropriate range information associated with the plant.

[0023] The cause estimation unit may be implemented as a process that estimates cause categories related to plant conditions based on combinations of multiple environmental values, trend information for each of the multiple environmental values, or the relationships between the environmental values. The estimation of the cause categories may be performed as an inference process based on multiple conditions or weightings, for example, as a process that evaluates the degree of fit for multiple cause candidates with combinations of multiple environmental values, relationships between environmental values, and / or temporal changes.

[0024] Note that state determination and cause estimation may be different processes. State determination may be a process that determines whether the plant's state is within an appropriate range or what state it is in, based on measured values ​​and / or trend information. On the other hand, cause estimation may be a process that estimates the factors that led to the aforementioned state. Therefore, even for the same state determination result, different cause categories may be estimated depending on multiple environmental values ​​and / or trend information.

[0025] The action generation unit may be implemented as a process that generates action content to be performed by the user from among multiple action candidates associated with the estimated causal category, according to the current plant condition, environmental values, and / or trend information. The above action content may be generated as structured information including at least a part of the causal category, work content, timing of implementation, amount of implementation, frequency of implementation, and priority.

[0026] Furthermore, even with the same plant condition, different behaviors may be generated if the estimated causal category is different. For example, even if a plant is wilting, if a water shortage is estimated, actions related to watering may be generated; if increased transpiration due to high temperature is estimated, actions related to changing the watering frequency or shading may be generated; and if excessive moisture is estimated, actions related to stopping watering or improving drainage may be generated.

[0027] Furthermore, the action generation unit may be implemented as a process that determines the priority of multiple action candidates based on factors such as their relevance to the cause category, improvement effect, urgency, ease of implementation, or past implementation history, and generates the highest-priority action.

[0028] The presentation unit may be implemented as a process that presents the generated action content to the user through screen display, notification, or audio output, etc.

[0029] The display control unit may be implemented as a process that prioritizes the presentation of action content by performing display control such as hiding, simplifying, changing priority, or changing the display area for at least a portion of the information regarding the state of the plant or the evaluation results of that state.

[0030] Furthermore, "suppression of presentation" by the presentation control unit may include, for example, not displaying information regarding the state of a plant or the evaluation results of that state on the screen, excluding it from notifications, displaying it with a lower priority than the action content, displaying it in a smaller display area than the action content, making it displayable only when a predetermined operation is performed, or replacing it with a predetermined symbol or abbreviated representation. This allows the system to prioritize presenting users with action details while making the status or evaluation results available for internal processing such as cause estimation or action content generation.

[0031] Next, with reference to Figure 2, an example of the processing flow in the plant cultivation support system 100 will be described. Note that Figure 2 shows an example of the process, and some steps may be omitted.

[0032] In step S1, the information processing terminal 20 (or cloud server 30), which functions as an acquisition unit, acquires measured values ​​related to the plant's cultivation environment (e.g., moisture, temperature, light intensity) from the measurement sensor 10. The measurement sensor 10 may also transmit the acquired measured values ​​to the information processing terminal 20. If necessary, it may also acquire and transmit other values ​​indicating the cultivation environment, such as values ​​indicating electrical conductivity (EC) and pH.

[0033] In step S2, the information processing terminal 20 (or cloud server 30), which functions as a memory unit, stores the received measurement values ​​in the memory unit, associating them with time information.

[0034] In step S3, the information processing terminal 20 (or cloud server 30), which functions as a trend detection unit, detects trends based on the accumulated measurement values, from the amount or rate of change over a predetermined period (e.g., the past 7 days). For example, a decreasing or increasing trend in the direction of deviating from the appropriate range may be detected for moisture, temperature, and light intensity, respectively. Furthermore, if necessary, trends may be similarly detected for other values ​​indicating the cultivation environment, such as electrical conductivity (EC) or pH. Note that this step is optional, and processing may be based on the most recent measurement values ​​or statistical values.

[0035] In step S4, the information processing terminal 20 (or cloud server 30), which functions as a state determination unit, compares the appropriate range information associated with the plant with the current value (or trend) to determine the state of the plant. For example, in addition to determining a state where the moisture content is below the lower limit, it may also determine a state where the moisture content is above the upper limit (overwatering). In addition to determining a state where the light intensity is below the standard, it may also determine a state where the light intensity is above the upper limit standard (over-illumination). Furthermore, as a state where the temperature falls outside a predetermined range, it may also determine a state where the temperature is outside the high-temperature range and / or outside the low-temperature range.

[0036] Here, the causal category refers to information classifying factors that affect the state of a plant (for example, environmental factors, external factors, or cultivation management factors). In step S5, the information processing terminal 20 (or cloud server 30), which functions as a causal estimation unit, estimates the causal category that led to the state based on multiple environmental values ​​and / or trends representing the temporal changes of those environmental values.

[0037] The causal categories may include, for example, insufficient water supply, excessive water supply or excessive humidity, chronic lack of light, excessive light intensity or strong light stress, increased transpiration due to high temperature, decreased water absorption due to low temperature, nutrient deficiencies, excessive nutrients, etc.

[0038] The estimation of the cause category may be performed using, for example, a combination of temperature rise and moisture decrease, a combination of moisture change and light change, or the rate of change or duration within a predetermined period. Furthermore, the estimation may be performed as an inference process based on multiple conditions or weights, and may be implemented, for example, by rule-based processing, statistical processing, or machine learning processing. The weights may be set for each environmental value, trend information, or candidate cause, and the cause category may be determined based on the calculated weighting results. Specifically, the cause category may be determined according to predetermined conditional branching based on the trend detection results and state determination results.

[0039] Predetermined conditional branching is, for example, (1) If the value indicating light intensity remains below the lower limit of light intensity Lmin for a predetermined period T1 (or if the trend of decreasing light intensity continues for a predetermined period T1), then "chronic light deficiency" is estimated. (2) If the value indicating the amount of light exceeds the upper limit of the amount of light Lmax during a specified daytime period (or if there is a trend of increasing light levels) for a specified period, then "excessive light or strong light stress" will be estimated. (3) If a temperature value exceeds the upper temperature limit Tmax (or shows an upward trend in temperature), and the moisture value shows a downward trend, then "increased transpiration due to high temperature" is estimated. (4) If a temperature value falls below the lower temperature limit Tmin (or shows a downward trend in temperature), and the moisture content fluctuates little, then "decreased water absorption due to low temperature" is estimated. (5) If none of the above (1) to (4) apply, and a condition is detected in which the moisture value falls below the lower moisture limit Mmin (or a tendency for moisture to decrease), then "water shortage" is estimated. (6) If the moisture level exceeds the upper limit of moisture Mmax (or if there is a trend of increasing moisture) for a predetermined period of time, it may be estimated that there is "excessive water supply or excessive humidity."

[0040] Furthermore, the thresholds (Lmin, Lmax, Tmax, Tmin, Mmin, Mmax, etc.) and periods (T1, etc.) in the conditional branching may be set according to the type of plant, season, installation environment, etc. In addition, if other values ​​indicating the cultivation environment, such as electrical conductivity or pH, are used, the estimation of the causal category based on the trend of those other values ​​indicating the cultivation environment may be performed within the same framework as described above.

[0041] In step S6, the information processing terminal 20 (or cloud server 30), which functions as an action generation unit, generates the actions that the user should take based on the trend, the state determination result, and the cause estimation result. The content of the action is generated to include at least "what," "why," "how," "when," and "to what extent (quantity / frequency)."

[0042] Furthermore, if multiple actions are generated, a priority may be determined for each action based on its importance, urgency, or the magnitude of its improvement effect, and the display order or notification order may be controlled according to that priority. For example, if a water shortage is suspected, the method and amount of water supply should be suggested; if an excess of water or excessive humidity is suspected, the water supply should be reduced, drainage or aeration should be improved, and / or the installation location should be changed; if chronic light deficiency is suspected, the installation location should be changed or a method of supplemental lighting should be suggested; if excessive light intensity or strong light stress is suspected, shading, changing the installation location, and / or shortening the irradiation time should be suggested; if increased transpiration due to high temperature is suspected, shading, changing the installation location, and increasing the frequency of water supply should be suggested; and if decreased water absorption due to low temperature is suspected, the installation location should be changed or insulation should be provided.

[0043] These actions are not presented as information to allow the user to make a decision from multiple options, but rather only as specific actions that should be taken in accordance with the given environmental conditions. This allows users to follow the suggested actions without having to interpret the environmental conditions or choose from multiple response options.

[0044] Furthermore, if a causal category is estimated based on other values ​​indicating the cultivation environment, such as electrical conductivity (EC) or pH, actions corresponding to that causal category (e.g., fertilization, soil improvement, etc.) may be generated. The aforementioned actions are presented as suggestions for user behavior and are distinct from presentations of environmental conditions.

[0045] When multiple actions are generated, the presentation control unit may determine a priority for each action based on its importance, urgency, or the magnitude of its improvement effect, and present only a predetermined number of the highest-ranking actions based on that priority. The upper predetermined number may be changed according to user settings. The upper predetermined number may be, for example, an integer of 1 or 2 or more, and from the viewpoint of reducing the user's operational burden, it may be presented in a manner in which a single or small number of actions are presented. Furthermore, actions other than the top predetermined number may be excluded from presentation and stored separately (for example, stored in memory), while the user may not be shown such actions.

[0046] The action details may be generated as structured information that includes information (e.g., cause category name or cause category ID) that can identify the cause category as a result of the cause estimation.

[0047] In step S7, the information processing terminal 20, which functions as a presentation unit and a presentation control unit, presents the generated action content to the user by screen display and / or notification. The presentation control unit may suppress the display of at least some of the information regarding the state of the plant or the evaluation results of that state, and prioritize the presentation of the action content. Furthermore, the notification may be given when the condition falls outside the appropriate range (deviation on the lower limit and / or the upper limit), or it may be given preventively when it is predicted that the condition will fall outside the appropriate range based on trends. The above prediction may be made by extrapolation, predictive models, or statistical processing based on trend information.

[0048] (Optional) In step S8, the information processing terminal 20, which functions as a memory unit, may receive the details of the work performed by the user according to the actions and store them in the memory unit as a work log. The work log may be used for subsequent cause estimation, action content generation, or presentation control. For example, the cause estimation conditions, action content generation conditions, or presentation conditions may be adjusted based on the relationship between previously performed work content, timing, amount, or frequency of performance and subsequent changes in environmental values ​​or plant conditions. Furthermore, if necessary, the system may be extended to allow the handling of tasks corresponding to other values ​​indicating the growing environment, such as electrical conductivity (EC) or pH (e.g., fertilization or soil improvement), as task logs.

[0049] Furthermore, among the processes described in the embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by known methods. The processing procedures, specific names, and information including various data and parameters shown in the above description and drawings can be changed at will unless otherwise specified.

[0050] Furthermore, the embodiments can be combined as appropriate, as long as the processing content is not inconsistent.

[0051] Furthermore, the methods described in the embodiments, i.e., each method such as the processing shown in the flowchart, can be stored and distributed as a program that can be executed by a computer on a recording medium such as a memory card (ROM card, RAM card, etc.), magnetic disk (flexible disk, hard disk, etc.), optical disk (CD-ROM, DVD, etc.), or semiconductor memory. The computer can then read the program recorded on the external recording medium, and its operation will be controlled by this program, thereby realizing the same processing as described in the embodiments.

[0052] Furthermore, the program data required to implement each method can be transmitted over a network (the internet) in the form of program code, and the same functions as those of the embodiments described above can be obtained from computers connected to this network.

[0053] (effect) The present invention is characterized by prioritizing the presentation of actions generated based on the environmental conditions and their evaluation results, rather than simply presenting the environmental conditions to the user as they are.

[0054] This reduces the burden on users in interpreting the status and comparing and verifying multiple pieces of information, while supporting the execution of recommended tasks and reducing delays in task completion.

[0055] Furthermore, the present invention acquires measured values ​​related to the plant cultivation environment and their temporal changes, not only to determine the plant's condition but also to estimate the cause category that led to that condition, and further generates actions based on that cause category. Furthermore, by prioritizing the presentation of generated action content to the user over the plant condition or evaluation results, it is possible to support appropriate cultivation management while reducing the burden on the user in interpreting the condition.

[0056] Furthermore, since the present invention is particularly aimed at novice users unfamiliar with plant cultivation, it may be configured to present a single or small number of actions rather than multiple action options. This eliminates the need for users to navigate between multiple screens for comparison and consideration, reducing the number of operations, operation time, and display switching cycles, while enabling them to perform tasks based on the presented actions.

[0057] Furthermore, in this invention, it is possible to supplementarily present simple information indicating the cause of the presented action. Such causal information is presented to aid user understanding; however, its presentation is not mandatory, and it is desirable that it be presented in a concise manner that does not hinder user action.

[0058] Furthermore, in the present invention, the system may be configured to adjust the timing of generating or presenting behavioral content by taking into consideration past environmental data, user behavioral history information, or evaluation results based on such history. This makes it possible to provide action suggestions at the appropriate time, depending on the user's or the target plant's condition. [Examples]

[0059] (Example 1: Updating estimation conditions using behavioral result feedback) The plant cultivation support system according to this embodiment has the configuration described above and is characterized in that it updates the cause estimation conditions and / or behavior generation conditions using the results of cultivation work performed by the user.

[0060] The information processing terminal or cloud server estimates the cause category that led to the plant's condition based on measured values ​​such as moisture, temperature, and light intensity obtained from measurement sensors, and presents the user with the corresponding action to take for that cause category.

[0061] Users perform cultivation tasks such as watering, water supply restriction, changing installation location, shading, supplementing light, and heat retention according to the suggested actions. The details of these tasks are acquired as action history information based on operation input or sensor information. In addition, when dealing with other values ​​indicating the cultivation environment, such as electrical conductivity (EC) or pH, tasks such as fertilization or soil improvement may also be acquired as action history information.

[0062] The activity history information may include, at a minimum, the type of work, the timing of the work, and the amount or frequency of work performed.

[0063] The system evaluates the changes in measured values ​​obtained after acquiring the aforementioned behavioral history information by associating them with the behavioral history information. For example, if the tendency for moisture levels to decrease is mitigated after watering work is performed, the system may evaluate that the watering work contributed to improving the condition of the plants.

[0064] On the other hand, if no improvement in measured values ​​is observed even after acquiring behavioral history information, or if a new deterioration trend is observed in other environmental values, it may be concluded that the estimation of the causal category was inappropriate, or that the behavioral content was insufficient.

[0065] Based on the evaluation results, the system updates the estimation conditions for the cause category and / or the generation conditions for the behavior content. The update may be performed, for example, as follows: • Change the priority or weighting of specific conditions • Add new conditions Disable unnecessary or insignificant conditions. • Change the priority of the tasks to be presented. • Change the timing of the presentation. • Change the content of the actions that are presented.

[0066] Such update processes are not limited to fixed judgment conditions and may be repeatedly performed to reflect behavioral history information and evaluation results.

[0067] As a result, the plant cultivation support system of this embodiment can provide cause estimation and action suggestions that are appropriate for the user or the target plant, the more the user continues to perform cultivation work.

[0068] (Example 2: Continuous optimization using accumulated behavioral results) In another embodiment, the behavioral history information and evaluation results may be stored on a cloud server and used over multiple cultivation cycles.

[0069] The system may be controlled to make it easier to select a specific cause category in subsequent cause estimations based on past evaluation results. For example, if insufficient watering has been repeatedly estimated for the same plant, but the improvement effect after watering was limited, the estimation conditions may be updated to prioritize evaluation of light intensity or temperature conditions in subsequent estimations.

[0070] In this way, the accuracy of causal estimation and action proposals can be continuously improved through the accumulation of action results.

[0071] According to this embodiment, not only are action suggestions presented based on the trends in measured values ​​and the results of cause estimation, but the results of cultivation work performed by the user can also be reflected in subsequent estimations and action suggestions.

[0072] This allows even beginners to improve the accuracy of their support by allowing the system to absorb the results of trial and error, contributing to a reduction in plant cultivation failures and the efficient acquisition of cultivation skills. Furthermore, the configuration of updating conditions based on the aforementioned action results differs from conventional technologies that perform fixed evaluations based on comparisons of measured values ​​and reference values, and is a unique configuration not found in conventional technologies in that it dynamically updates estimated conditions to reflect the results of the user's actual cultivation work. [Industrial applicability]

[0073] The present invention and its examples can be applied to support plant cultivation in home gardening, such as in pots, planters, and vegetable gardens, as well as to support cultivation management in greenhouse cultivation, plant factories, hydroponics, research purposes, and seedling production. [Explanation of Symbols]

[0074] 10 Measurement sensors 20 Information Processing Terminals 30 Cloud Servers 100 Plant Cultivation Support Systems S1 Acquisition and transmission of measured values S2 Measurement Value Accumulation S3 Trend Detection S4 Status Check S5 Cause Estimation S6 Action content generation S7 Presentation control / presentation S8 Work Log Storage

Claims

1. A plant cultivation support system that assists in the cultivation management of plants, An acquisition unit that acquires measurement values ​​related to the plant cultivation environment, A storage unit that stores the measured values ​​in association with time information, A trend detection unit detects trend information representing the temporal progression of each of the multiple environmental values ​​included in the measured value, based on the measured value stored in the memory unit. A condition determination unit that determines the state of a plant by comparing the measured value and / or the trend information with appropriate range information associated with the plant, A cause estimation unit estimates the cause category that led to the state based on the aforementioned multiple environmental values ​​and / or trend information, through inference processing based on multiple conditions or weights. Based on the estimated results of the aforementioned cause categories, an action generation unit generates the actions that the user should take, A display unit that presents the aforementioned actions to the user, In the presentation by the presentation unit, the presentation control unit prioritizes the presentation of the action content by doing at least one of the following: not displaying information about the state of the plant or the evaluation results of said state on the screen, excluding it from notification, displaying it with a lower priority than the action content, displaying it in a smaller display area than the action content, or making it displayable only when a predetermined operation is performed. Equipped with, When multiple actions are generated, the presentation control unit determines a priority for each action based on its importance, urgency, or the magnitude of its improvement effect. Based on this priority, it presents only a predetermined number of the highest-ranking actions. Actions other than the predetermined highest-ranking ones are excluded from presentation and stored in the storage unit. The predetermined highest-ranking number is changed according to user settings. Plant cultivation support system.

2. The plant cultivation support system according to claim 1, wherein the action content is generated including the cause category and includes at least one of the work content, amount or frequency of implementation, and timing of implementation.

3. The plant cultivation support system according to claim 1, wherein the cause category is estimated based on a plurality of environmental values.

4. The plant cultivation support system according to claim 3, wherein the cause category is estimated based on the trend information of each of the multiple environmental values.

5. The plant cultivation support system according to claim 4, wherein the cause category is estimated based on a combination of the trend information for each of the multiple environmental values.

6. The plant cultivation support system according to claim 1, wherein the environmental values ​​include at least values ​​relating to moisture, temperature, and light intensity.

7. The plant cultivation support system according to claim 6, wherein the aforementioned environmental values ​​further include values ​​relating to electrical conductivity (EC) or pH.

8. The plant cultivation support system according to claim 1, wherein the cultivation environment includes soil, growing medium, or nutrient solution.

9. The plant cultivation support system according to claim 1, wherein the actions include water supply, water supply restriction, change of installation location, shading, supplemental lighting, and heat retention.

10. The plant cultivation support system according to claim 1, wherein the action described above is presented before the state of the plant deviates from a predetermined range.

11. The plant cultivation support system according to any one of claims 1 to 10, wherein the system updates the estimation conditions for the cause category or the generation conditions for the action content based on the results of the action content performed by the user, and the update is evaluated by associating the change in the measured value obtained after the execution of the work corresponding to the action content with the action history information related to the action content, and if, as a result of the evaluation, no improvement in the measured value is observed or a new deterioration trend is observed in other environmental values, the estimation of the cause category is evaluated as inappropriate, and at least one of the following is performed: changing the priority or weighting of a specific condition, adding a new condition, disabling unnecessary or insignificant conditions, changing the presentation timing, or changing the action content to be presented.

12. A plant cultivation support method that assists in the cultivation management of plants, The process of obtaining measurement values ​​related to the plant cultivation environment, A step of storing the measured value in association with time information, A step of detecting trend information representing the temporal changes of each of the multiple environmental values ​​based on the stored measurement values, A step of determining the state of a plant by comparing the measured values ​​and / or the trend information with appropriate range information associated with the plant, A step of estimating the cause category that led to the state based on the aforementioned multiple environmental values ​​and / or the aforementioned trend information, by an inference process based on multiple conditions or weights, A step of generating the actions that the user should take based on the estimated results of the aforementioned cause categories, A process of prioritizing the presentation of the content of the action to the user while suppressing the presentation of the state of the plant or the evaluation results of said state, including, Plant cultivation support method.

13. A program for causing a computer to perform the plant cultivation support method described in claim 12.

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