WO2023210215A1

WO2023210215A1 - Cultivation assistance system

Info

Publication number: WO2023210215A1
Application number: PCT/JP2023/011291
Authority: WO
Inventors: 孝明宮地; 昌佐々木; 早映子柴垣
Original assignee: オムロン株式会社
Priority date: 2022-04-28
Filing date: 2023-03-22
Publication date: 2023-11-02
Also published as: JP2023163840A

Abstract

This cultivation assistance system comprises: a cultivation parameter acquisition means for acquiring a cultivation parameter, which is an index relating to cultivation of a target crop; an estimation means for estimating, on the basis of the cultivation parameter, cultivation work performed by a user in the past with respect to the target crop; a cultivation work storage means for storing cultivation work record data, which is a record of cultivation work performed with respect to the target crop; and a work record updating means for updating the cultivation work record data on the basis of information about the cultivation work estimated by the estimation means.

Description

Cultivation support system

The present invention relates to a cultivation support system.

Utilizing cutting-edge technologies such as robots, ICT (Information and Communication Technology), AI (Artificial Intelligence), and IoT (Internet of Things), we support crop cultivation work and promote agricultural automation, labor savings, and high-quality production. Efforts to make this possible are attracting attention. Such technologies are called smart agriculture, smart agri, agtech, agri automation, etc.

Patent Document 1 discloses that in a field where crops such as asparagus are cultivated, information on the location and results of work performed (spraying pesticides, harvesting, etc.) is recorded in a database, and the work records are used to predict future work and consumption. A system has been proposed that can be used to provide information to people.

International Publication No. 2018/211621

In a system that utilizes information on work performed in the past, such as the system in Patent Document 1, it is extremely important that the contents of past work are completely and correctly recorded. For example, when trying to determine the next work plan (implementation date, amount of water, etc.) based on past irrigation records, if the most recently performed irrigation work is not recorded or there is an error in the contents of the record. Doing so may lead to incorrect work planning, which may result in over- or under-irrigation.

For work that is automated by robots, etc., past work details can be automatically recorded, so it is technically possible to prevent omissions and mistakes in work records as described above. However, in actual farms, many tasks are performed by humans, and the reality is that humans need to input work records into the system each time. Because such human-dependent aspects remain, problems such as omissions in work records and errors in recorded contents persist. In addition, although it is ideal to input work records promptly after performing a task, delays in input can also be a problem, as some workers input data for several days or weeks at once.

The present invention has been made in view of the above circumstances, and aims to provide a technology for supporting the recording of cultivation operations performed in the past.

The present disclosure includes a cultivation parameter acquisition unit that acquires cultivation parameters that are indicators related to cultivation of a target crop, and estimates cultivation operations performed by a user on the target crop in the past based on the cultivation parameters. an estimation means; a cultivation work storage means for storing cultivation work record data that is a record of cultivation work performed on the target crop; The cultivation support system includes a work record updating means for updating record data.

The cultivation parameter acquisition means may acquire the cultivation parameters based on information measured by a sensor or information input from an external device.

The cultivation parameters may include an index regarding the external shape of the target crop, an index regarding the growth state of the target crop, or an index regarding the cultivation environment of the target crop.

The estimating means may estimate the cultivation work performed by the user on the target crop in the past by analyzing time-series data of the cultivation parameters accumulated over a predetermined period.

The cultivation work record data may include at least information on the implementation timing and amount of cultivation work.

The cultivation support system may further include a work proposal unit that creates a future work plan for the target crop based on the cultivation work record data and proposes the future work plan to the user.

The cultivation work record data may include a user input work record that is information on the cultivation work input by the user, and an estimated work record that is information on the cultivation work estimated by the estimation means. The work record updating means determines whether or not a user input work record corresponding to the estimated work record exists in the cultivation work record data, and when the corresponding user input work record does not exist, the estimated work record is updated. may be added to the cultivation work record data.

The cultivation work record data may include a user input work record that is information on the cultivation work input by the user, and an estimated work record that is information on the cultivation work estimated by the estimation means. The work record updating means determines whether or not a user input work record corresponding to the estimated work record exists in the cultivation work record data, and determines whether or not a corresponding user input work record exists, but the corresponding user input work record does not exist. If there is a discrepancy between the record and the estimated work record, the cultivation work record data is corrected by the estimated work record, or the user is informed that there is a discrepancy between the user input work record and the estimated work record. You can also output it.

The cultivation support system may further include a work history display unit that generates and displays a work history screen representing a history of cultivation work performed on the target crop based on the cultivation work record data.

The work history display means may generate the work history screen so that user input work records and estimated work records can be distinguished.

The work history display means may provide a user interface that allows cultivation work to be input or modified on the work history screen.

The present disclosure includes a step in which a computer acquires a cultivation parameter that is an index related to cultivation of a target crop, and a step in which the computer acquires a cultivation operation performed by a user on the target crop in the past based on the cultivation parameter. A cultivation support method comprising the steps of: estimating the estimated cultivation operation information; and updating cultivation operation record data, which is a record of cultivation operations carried out on the target crop, based on the estimated cultivation operation information. including.

The present disclosure includes a program for causing a computer to execute each step of the cultivation support method described above.

The present invention may be understood as a cultivation support system, a cultivation work recording system, a cultivation work estimation system, etc., which have at least a part of the above means, or an information processing device that constitutes a part of such a system. It may also be viewed as an information processing device used in combination with other systems. Furthermore, the present invention may also be understood as a cultivation management system, cultivation equipment, cultivation facility, field, etc. that include such a system. Further, the present invention may be understood as a cultivation support method, a cultivation support system control method, a cultivation work recording method, a cultivation estimation method, a cultivation method, etc., including at least a part of the above processing. Further, the present invention can also be understood as a program for realizing such a method and a recording medium (storage medium) on which the program is recorded non-temporarily. Note that each of the above means and processes can be combined to the extent possible to constitute the present invention.

According to the present invention, it is possible to support recording of cultivation operations performed in the past.

FIG. 1 is a diagram showing the overall picture of the cultivation management system. FIG. 2 is a diagram showing the configuration of the cultivation support system. FIG. 3 is a flowchart of cultivation parameter collection processing. FIG. 4A is an example of time series data of cultivation parameters (soil moisture content). FIG. 4B is an example of the amount of change in cultivation parameters. FIG. 4C is an example of a work estimation table. FIG. 5 is a flowchart of the cultivation work estimation process. FIG. 6A is an example of time-series data of cultivation parameters (LAI). FIG. 6B is an example of the amount of change in cultivation parameters. FIG. 6C is an example of a work estimation table. FIG. 7A is an example of time-series data of cultivation parameters (EC values). FIG. 7B is an example of the amount of change in cultivation parameters. FIG. 7C is an example of a work estimation table. FIG. 8A is an example of time-series data of cultivation parameters (indoor/outdoor temperature, indoor/outdoor humidity). FIG. 8B is an example of the amount of change in cultivation parameters. FIG. 8C is an example of a work estimation table. FIG. 9A is an example of time-series data of cultivation parameters (indoor and outdoor temperatures). FIG. 9B is an example of the amount of change in cultivation parameters. FIG. 9C is an example of a work estimation table. FIG. 10A is an example of time-series data of cultivation parameters (indoor and outdoor solar radiation). FIG. 10B is an example of the amount of change in cultivation parameters. FIG. 10C is an example of a work estimation table. FIG. 11A is an example of time series data of cultivation parameters (wind speed). FIG. 11B is an example of a work estimation table. 12A and 12B are examples of work history screens. 13A to 13C are examples of detailed information screens for work records. FIG. 14A is an example of a work determination table. FIG. 14B is an example of work advice.

<Application example>
FIG. 1 schematically shows the overall picture of the cultivation management system. The cultivation management system MS is a system for managing and supporting the cultivation work of crops to be cultivated (hereinafter referred to as target crops P), and its main components include a cultivation environment control system 2 and cultivation support. It includes a system 1 and a user terminal 3.

The cultivation environment control system 2 has a function (environment monitoring function) of acquiring various information related to the cultivation environment of the target crop P using a plurality of environmental sensors installed in the field 20 (house etc.) of the target crop P, It has a function to control the cultivation equipment installed in the field 20 (environmental control function). The environmental sensors include, for example, a soil moisture sensor 21 buried in a ridge of the target crop P, an image sensor (camera) 22 that photographs the target crop P, a temperature and humidity sensor 23 that measures the temperature and humidity in the field 20, and the like. be. In addition, as the environmental sensor, an EC (electrical conductivity) sensor, an illuminance sensor, a wind speed sensor, a pH sensor, a CO2 sensor, an LAI sensor, etc. may be used. Cultivation equipment to be controlled includes an irrigation system 24, an air conditioning system 25, a switch 26 for windows and blackout curtains, and the like. In addition, as cultivation equipment, a fertilizing device, a lighting device, a pesticide spraying device, a circulation fan, a warming machine, etc. may be used. The method of controlling the cultivation equipment includes fully automatic control in which the cultivation environment control system 2 automatically and adaptively controls the cultivation equipment to achieve the optimal environmental conditions according to the results of environmental monitoring, and a method in which the cultivation environment control system 2 automatically and adaptively controls the cultivation equipment according to instructions from the user. There is semi-automatic control that controls cultivation equipment. For example, a control that automatically opens/closes a window or changes the temperature setting of an air conditioner when the temperature measured by the temperature/humidity sensor 23 deviates from the optimal range falls under the former category, and the user can control the timing and amount of watering. Control in which an instruction is given to the cultivation environment control system 2 and the cultivation environment control system 2 operates the irrigation device 24 in accordance with the instruction corresponds to the latter.

The cultivation environment control system 2 transmits environmental data to the cultivation support system 1 periodically or at necessary timing. The environmental data may include, for example, environmental information measured by an environmental sensor, control logs of cultivation equipment, and the like.

The cultivation support system 1 is a system that collects and manages information related to the cultivation of target crops P, and provides various support services to users. The cultivation support system 1 has a cultivation operation database (hereinafter referred to as "cultivation operation DB") that stores cultivation operation record data that is a record of cultivation operations performed on the target crop P. Cultivation operations include various tasks such as irrigation, fertilization (additional fertilization), attraction, leaf removal, bud removal, flower thinning, fruit thinning, pesticide spraying, window opening/closing, warming machine operation, blackout curtain opening/closing, circulation fan operation, lighting operation, etc. be. Since the cultivation operations to be performed may differ depending on the type of target crop P and the configuration of the cultivation management system MS, the types of cultivation operations to be recorded should be designed as appropriate depending on the system configuration and scope of application. good.

When the user performs some kind of cultivation work on the target crop P, in principle, the user himself/herself operates the user terminal 3 and inputs information about the performed cultivation work (implementation timing, amount of work, etc.). A work record input by the user (referred to as a "user input work record") is transmitted to the cultivation support system 1 and stored in the cultivation work DB. By accessing the cultivation support system 1 from the user terminal 3, the user can view the past work history accumulated in the cultivation work DB, or receive work advice generated by the cultivation support system 1 (cultivation to be performed next). (recommendations for work, etc.). This support information serves as a reference when the user plans future work.

In order to provide useful support information in a timely manner by the cultivation support system 1, it is desirable that all past cultivation operations be recorded in the cultivation operation DB with correct contents. However, if the input of work records is left to the user, many problems such as omissions in work records, errors in recorded contents, and input delays occur. Therefore, the cultivation support system 1 estimates the cultivation operations performed in the past on the target crop P based on the environmental data (especially the environmental information measured by the environmental sensor) collected from the cultivation environment control system 2. , has a function of updating the cultivation work record data in the cultivation work DB based on the estimation results. For example, the cultivation support system 1 determines whether a user input work record corresponding to cultivation work information estimated from environmental data (referred to as "estimated work record") exists in the cultivation work record data in the cultivation work DB. , and if there is no corresponding user-input work record, the estimated work record may be added to the cultivation work record data. In addition, if there is a user input work record corresponding to the estimated work record, but there is a difference between the corresponding user input work record and the estimated work record, the cultivation support system 1 records the cultivation work using the estimated work record. The data may be modified or the user may be notified of a discrepancy between the user input work record and the estimated work record. With such a function, it is possible to compensate for omissions in the user's records and correct mistakes in the recorded contents, so the burden on the user in recording cultivation work can be reduced. Furthermore, it is possible to improve the reliability of the cultivation work record data itself, and it is expected that it will be possible to provide more useful and advanced support information.

In addition, in the cultivation support system 1 described above, the input of the work record by the user and the estimation of the work record by the cultivation support system 1 are combined, but if the estimation accuracy of the cultivation support system 1 is sufficiently high, the work record by the user In principle, the input may not be necessary. By automatically recording all the information about the cultivation operations performed, the user's burden on recording the cultivation operations can be reduced to substantially zero, and the user's convenience can be improved.

<Cultivation support system configuration>
An embodiment of the cultivation support system 1 will be described with reference to FIG. 2.

The cultivation support system 1 includes a cultivation parameter acquisition section 10, a cultivation parameter storage section 11, a cultivation work estimation logic storage section 12, a cultivation work estimation section 13, a cultivation work DB 14, a work record update section 15, a work proposal section 16, and a work history display. It has a section 17.

The cultivation parameter acquisition unit 10 has a function as a cultivation parameter acquisition means that acquires indicators related to cultivation of the target crop P (referred to as "cultivation parameters"). The cultivation parameter storage unit 11 has a function of storing time-series data of cultivation parameters collected by the cultivation parameter acquisition unit 10. The cultivation work estimation logic storage unit 12 has a function of storing a work estimation table showing the causal relationship between cultivation work and cultivation parameters. The cultivation work estimating unit 13 has a function as an estimation means for estimating the cultivation work performed on the target crop P in the past based on the cultivation parameters. The cultivation work DB 14 has a function as a cultivation work storage means for storing cultivation work record data that is a record of cultivation work performed on the target crop P. The work record updating unit 15 has a function as a work record updating unit that updates the cultivation work record data in the cultivation work DB 14 based on the information on the cultivation work estimated by the cultivation work estimating unit 13. The work proposal unit 16 has a function as a work proposal means that creates a future work plan for the target crop P based on the cultivation work record data in the cultivation work DB 14 and proposes work advice to the user. The work history display unit 17 generates a work history screen representing the history of cultivation work performed on the target crop P based on the cultivation work record data in the cultivation work DB 14, and displays the work history screen on the user terminal 3. It has a function as a display means.

The cultivation support system 1 can be configured, for example, by a computer equipped with hardware resources such as a processor (CPU, GPU, etc.), memory (main storage), storage (auxiliary storage), and communication I/F. In this case, the functions shown in FIG. 2 are implemented in software by loading a program stored in storage into memory and causing a processor to execute the program. The cultivation support system 1 may be configured with one computer, or may be configured using techniques such as distributed computing and cloud computing. Further, part or all of the functions shown in FIG. 2 may be realized by a circuit such as an ASIC or an FPGA. Alternatively, some of the functions shown in FIG. 2 may be provided in the cultivation environment control system 2 or the user terminal 3.

<Operation of cultivation support system>
Next, an example of the operation of the cultivation support system 1 will be explained.

(Collection of cultivation parameters)
FIG. 3 is a flowchart of cultivation parameter collection processing. The process in FIG. 3 is executed by the cultivation parameter acquisition unit 10 periodically or every time environmental data is received from the cultivation environment control system 2.

In step S300, the cultivation parameter acquisition unit 10 receives the environmental data sent from the cultivation environment control system 2. Environmental data includes measurement information obtained by environmental sensors (sensing data (raw data) output from sensors, or information processed or extracted from sensing data), cultivation equipment control logs, etc. is included. The received environmental data is temporarily stored in memory or storage.

In step S301, the cultivation parameter acquisition unit 10 acquires cultivation parameters based on the measurement information of the environmental sensor obtained in step S300. Any index may be used as the cultivation parameter as long as it is related to cultivation of the target crop P. For example, indicators related to the external shape of the target crop P, indicators related to the growth condition of the target crop P, indicators related to the cultivation environment of the target crop P (conditions of the soil and the space surrounding the target crop P (including inside and outside the greenhouse), etc.) are used as cultivation parameters. may apply. Specific examples include soil moisture content, LAI (Leaf Area Index), number of flowers, real number, EC value (electrical conductivity), outdoor temperature, indoor temperature, outdoor humidity, indoor humidity, outdoor solar radiation, and indoor solar radiation. Examples of cultivation parameters include volume, wind speed, soil pH, CO2 concentration, and illuminance. The cultivation parameters are preferably information that can be obtained without relying on manual input by humans. Although information extracted directly or indirectly from the measurement information of environmental sensors is preferable, there are other ways to extract cultivation information from various types of information input from external devices, such as control logs of cultivation equipment included in environmental data. Parameters may also be extracted. The cultivation parameter acquisition unit 10 does not need to acquire all of these indicators, and may appropriately design the cultivation parameters to be used according to the type of target crop P, the configuration of the cultivation environment control system 2, the field 20, and the like.

In step S302, the cultivation parameter acquisition unit 10 stores the cultivation parameter information acquired in step S301 in the cultivation parameter storage unit 11.

FIG. 4A shows an example of time-series data of cultivation parameters accumulated in the cultivation parameter storage unit 11. The example in FIG. 4A is data in which the amount of soil moisture (water content) in the ridges of the target crop P is recorded based on the measurement information of the soil moisture sensor 21. It can be seen that the measurements taken at 9:00 a.m. and 9:10 a.m. on January 26th were 20%, and the measurements taken at 9:20 a.m. and 9:30 a.m. were 25%. Time-series data is similarly collected and accumulated for cultivation parameters other than soil moisture content.

(Estimation of cultivation work)
FIG. 5 is a flowchart of the cultivation work estimation process. The process in FIG. 5 is executed by the cultivation work estimating section 13 and the work record updating section 15 periodically or every time the cultivation parameters are updated.

In step S500, the cultivation work estimation unit 13 reads time-series data of cultivation parameters from the cultivation parameter storage unit 11. At this time, time-series data for a period necessary for subsequent estimation processing is captured. For example, if the purpose is to detect recently performed irrigation work based on the amount of change in soil moisture content, time-series data for the most recent several days may be used. Furthermore, if the purpose is to detect infrequent operations such as leaf pruning and pesticide spraying, time-series data from several weeks to several months, or all time-series data from planting to the present time may be used. On the other hand, if the purpose is to detect tasks that are performed many times during the day, such as operating windows or air conditioning equipment, it may be sufficient to use time-series data for one day or several hours. be.

In step S501, the cultivation work estimation unit 13 calculates the amount of change (time differential) of the cultivation parameters based on the time series data of the cultivation parameters. FIG. 4B is an example of the amount of change in soil water content calculated from the time series data of FIG. 4A. By referring to the data on the amount of change, it can be seen that there was a significant increase in the soil moisture content at 9:20 am on January 26th.

In step S502, the cultivation work estimating unit 13 reads the work estimation table from the cultivation work estimation logic storage unit 12, and uses the work estimation table to estimate the cultivation work performed in the past from the amount of change in the cultivation parameter.

The work estimation table is a table that shows the causal relationship between "cultivation work" and "amount of change (or value) of cultivation parameters." FIG. 4C is an example of a work estimation table showing the relationship between the cultivation work "irrigation" and the amount of change in the cultivation parameter "soil moisture content". For example, based on experimental data in field 20, past observed data, empirical rules, etc., when no irrigation is performed, when there is natural rainfall, when irrigation is applied at 3 [L/m2], By defining the average amount of change in soil water content in the four cases when 6 [L/m2] of irrigation is performed, a work estimation table like the one shown in FIG. 4C can be created. The cultivation work estimating unit 13 estimates the causal event "cultivation work" from the resultant event "amount of change in cultivation parameters" by using the work estimation table like a reverse dictionary. For example, when a change in soil moisture content as shown in FIG. m2] of irrigation was carried out.

By analyzing the time-series data of cultivation parameters as described above, the presence/absence of cultivation work performed on the target crop P is detected, and if there is cultivation work, the implementation timing and amount are estimated as the results. obtained as. Note that the implementation timing is, for example, the date and time when the cultivation work was performed, and is typically equal to the date and time when a change appears in the value of the cultivation parameter. The amount of implementation represents the degree of cultivation work, and in the example of FIG. 4C, corresponds to the amount of watering. Obtaining such an estimation result makes it possible for the user to understand when, what kind of cultivation work, and to what extent.

If the estimation result that cultivation work is present is obtained in step S502 (YES in step S503), the work record updating unit 15 updates the cultivation work record data in the cultivation work DB 14 based on the information on the estimated cultivation work. Update (step S504). Specifically, a work record including information such as the type of cultivation work, implementation timing (date and time), and amount of work performed is newly added to the cultivation work record data. At this time, it is preferable that a flag be attached to the work record to identify whether it is a user input work record or an estimated work record.

Note that FIG. 4C merely shows an example of the work estimation table. The definition of the amount of change and the work content may be designed as appropriate depending on the equipment and conditions of the field 20, the type of target crop P, etc. Further, instead of a table, a function may be used to estimate the work. For example, when the amount of change in soil moisture content is x and the amount of irrigation is y, by defining a function F that represents the relationship y = F (x), it is possible to determine whether or not to perform irrigation based on the amount of change in soil moisture content. It is possible to calculate the amount of irrigation water. Alternatively, a work estimation model created by machine learning such as deep learning may be used. For example, by performing supervised learning using experimental data in the field 20 or data observed in the past as teacher data, when the "amount of change in cultivation parameters" is given as input, "the amount of change in the cultivation ” can be created as an estimation result.

(Other examples of estimation processing)
With reference to FIGS. 6A to 6C, an example of estimating the cultivation operations "induction" and "defoliation" from the amount of change in the cultivation parameter "LAI" will be described. FIG. 6A is an example of data recording the LAI of the target crop P. The LAI may be calculated from an image of the target crop P captured by the image sensor 22, or may be measured using an LAI sensor or the like. FIG. 6B is an example of the amount of change in LAI calculated from the LAI time series data in FIG. 6A. As the crop grows, the number and size of leaves increase, so LAI typically increases monotonically. Therefore, when the LAI decreases, it can be considered that cultivation operations such as "attraction" and "defoliation" have been carried out. "Attracting" is the process of fixing the stems and branches of plants to supports, guiding the plants in the intended direction, and adjusting the height and shape of the plants. Because the attraction reduces leaf crowding, the LAI decreases slightly before and after the attraction. "Defoliation" is the process of removing unnecessary leaves to improve sunlight and ventilation. LAI decreases significantly before and after defoliation. The work estimation table shown in FIG. 6C defines such a tendency. By applying the amount of change in LAI in Figure 6B to the work estimation table in Figure 6C, it is possible to determine whether "the induced work was carried out between January 9th and January 16th" or "from January 23rd to January 30th." It is possible to obtain the estimated result that 3 or more leaves per plant were removed during the day.

An example of estimating the cultivation operation "top dressing" from the amount of change in the cultivation parameter "EC value" will be described with reference to FIGS. 7A to 7C. FIG. 7A is an example of data recording the EC value of the soil of the target crop P. The EC value can be measured with an EC sensor buried in the soil. FIG. 7B is an example of the amount of change in the EC value calculated from the time series data of the EC value in FIG. 7A. The EC value indicates the total amount of water-soluble salts in the soil, and has a positive correlation with the content of nitrogen fertilizer in the soil. Therefore, when the EC value increases significantly, it can be considered that additional fertilization has been performed. By applying the amount of change in the EC value in Figure 7B to the work estimation table in Figure 7C, we can see that ``Additional fertilization with 4 [g/m2] of nitrogen fertilizer was carried out between 10:00 a.m. and 11:00 a.m. on January 19th. ” can be obtained.

An example of estimating the cultivation operation "window opening/closing" from the amount of change in the cultivation parameters "indoor/outdoor temperature difference" and "indoor/outdoor humidity difference" will be described with reference to FIGS. 8A to 8C. FIG. 8A is an example of data recording outdoor temperature, indoor temperature, outdoor humidity, and indoor humidity in a greenhouse for the target crop P. These data can be measured by temperature and humidity sensors installed outside and inside the field 20, respectively. FIG. 8B is an example of the amount of change in the indoor-outdoor temperature difference and the indoor-outdoor humidity difference calculated from the time-series data in FIG. 8A. The indoor-outdoor temperature difference is the difference between indoor temperature and outdoor temperature, and the indoor-outdoor humidity difference is the difference between indoor humidity and outdoor humidity. It is preferable to maintain the inside of the greenhouse at a temperature and humidity suitable for cultivating the target crop P at all times, so if the temperature or humidity of the outside air is inappropriate, close the windows of the greenhouse and use air conditioning equipment or a heating device to maintain the optimal temperature. - Humidity is controlled, and if the temperature and humidity of the outside air are close to those suitable for cultivation, windows are opened to let in outside air. Therefore, if both the indoor-outdoor temperature difference and the indoor-outdoor humidity difference are small, the window can be considered open, and if at least either the indoor-outdoor temperature difference or the indoor-outdoor humidity difference is large, the window is closed. It can be considered that the Therefore, by monitoring changes in the indoor/outdoor temperature difference and the indoor/outdoor humidity difference, it is possible to detect window opening/closing operations. For example, by applying the data in FIG. 8B to the work estimation table in FIG. 8C, it is possible to obtain the estimation result "The window was opened 50% at 9:10 a.m. on March 6."

An example of estimating the cultivation operation "warming machine operation" from the amount of change in the cultivation parameter "indoor/outdoor temperature difference" will be described with reference to FIGS. 9A to 9C. FIG. 9A is an example of data recording outdoor temperature and indoor temperature in a greenhouse for target crop P. These data can be measured by temperature and humidity sensors installed outside and inside the field 20, respectively. FIG. 9B is an example of the amount of change in the indoor-outdoor temperature difference calculated from the time series data of FIG. 9A. The indoor-outdoor temperature difference is the difference between the indoor temperature and the outdoor temperature. Since it is preferable that the temperature inside the greenhouse is always maintained at a temperature suitable for cultivating the target crop P, if the temperature of the outside air is too low, a warming machine is operated to raise the temperature inside the greenhouse. Therefore, if the temperature difference between indoor and outdoor becomes significantly large, it can be assumed that the warming machine has been operated. For example, by applying the data in FIG. 9B to the work estimation table in FIG. 9C, an estimated result such as "The warming machine was operated between 7:10 and 7:20 p.m. on January 19th" can be obtained. I can do it.

An example of estimating the cultivation operation "shading curtain operation" from the amount of change in the cultivation parameter "indoor/outdoor solar radiation" will be described with reference to FIGS. 10A to 10C. FIG. 10A is an example of data recording the amount of outdoor solar radiation and the amount of indoor solar radiation in a greenhouse for the target crop P. These data can be measured by illuminance sensors installed outside and inside the field 20, respectively. FIG. 10B is an example of the amount of change in the difference between indoor and outdoor solar radiation calculated from the time series data of FIG. 10A. The difference between indoor and outdoor solar radiation is the difference between indoor and outdoor solar radiation. The roof and outer walls of a house are generally made of translucent materials, and unless sunlight is blocked by a blackout curtain or the like, the difference between indoor and outdoor solar radiation is relatively small. On the other hand, when the light-blocking curtains are unfolded (closed), the value of the indoor solar radiation becomes much smaller than the outdoor solar radiation, so the difference between the indoor and outdoor solar radiation becomes large. Therefore, when the difference between indoor and outdoor solar radiation becomes significantly large, it can be considered that the light-blocking curtain has been deployed. For example, by applying the data in FIG. 10B to the work estimation table in FIG. 10C, an estimated result of "100% of the blackout curtains were deployed between 12:00 a.m. and 12:10 a.m. on July 10th" is obtained. be able to.

An example of estimating the cultivation work "operation of circulation fan" from the value of the cultivation parameter "wind speed" will be described with reference to FIGS. 11A and 11B. FIG. 11A is an example of data recording the wind speed in the greenhouse of the target crop P. These data can be measured by a wind speed sensor installed inside the house. Note that in the examples cited so far, the cultivation work was estimated based on the amount of change in the cultivation parameters, whereas in the examples of FIGS. 11A and 11B, the cultivation work is estimated from the values of the cultivation parameters themselves. The inside of a house is a closed space, so if there is nothing, there will be no air flow. Therefore, if you want to actively circulate air, a circulation fan is used. Therefore, when the wind speed is greater than the threshold value, it can be considered that the circulation fan is activated. For example, by applying the data in FIG. 11A to the work estimation table in FIG. 11B, it is possible to obtain the estimated result "The circulation fan was operated between 9:00 a.m. and 9:10 a.m. on January 19th." I can do it.

Although multiple examples of methods for estimating cultivation work from the values and changes in cultivation parameters have been given above, the methods listed here are just one example. In addition, the timing and amount of pesticide spraying can be estimated based on the humidity inside the greenhouse measured by a humidity sensor, the pH of the soil of the target crop P measured by a pH sensor, etc. good. Alternatively, the timing of CO2 fertilization by a CO2 fertilizer and the amount of fertilization may be estimated based on the CO2 concentration in the house measured by a CO2 sensor. Alternatively, the lighting timing and amount of light of the artificial lighting device may be estimated based on the illuminance of the field measured by the illuminance sensor.

(Display work history)
FIG. 12A is an example of a work history screen displayed on the user terminal 3 by the work history display unit 17. The vertical axis indicates cultivation work items, and in the example of FIG. 12A, eight types of cultivation work are shown: irrigation, fertilization, attraction, leaf thinning, bud thinning, flower thinning, fruit thinning, and pesticide. The horizontal axis is the date, and in the example of FIG. 12A, the history from January 1, 2022 to January 31, 2022 is shown. The cell in which a rectangular icon is displayed on this work history screen is the date on which the work was performed. For example, it can be seen that irrigation work was carried out four times on January 5th, 11th, 20th, and 26th, and fertilization was also carried out on January 11th, 20th, and 26th.

Here, a black rectangular icon indicates a user input work record, and a hatched rectangular icon indicates an estimated work record. By changing the display formats in this way, it becomes possible to distinguish between the work record input by the user and the work record estimated from the cultivation parameters on the work history screen.

In the screen of FIG. 12A, a black rectangular icon is displayed in cells where a user input work record exists, and a hatched rectangular icon is displayed only in cells where no user input work record exists. That is, when both a user input work record and an estimated work record exist, the user input work record is displayed preferentially. User input is more reliable, and when the estimation results from the cultivation support system 1 are used in an auxiliary manner (for example, to supplement missing records), a display like that shown in FIG. 12A is preferable.

FIG. 12B is another example of the work history screen. The screen in FIG. 12B is characterized in that it displays both the user input work record and the estimated work record. A hatched rectangular icon displayed at the top of the cell indicates an estimated work record, and a black rectangular icon displayed at the bottom of the cell indicates a user input work record. According to such a screen display, it is possible to immediately recognize locations where the user has forgotten to input work records (watering and fertilization on January 20th, leaf removal on January 13th).

By providing work history screens as shown in FIGS. 12A and 12B, the user can easily check the history of cultivation work performed in the past. In addition, records of tasks that the user has forgotten to input can be checked without exception. Such work history information is extremely useful when the user plans future work.

FIG. 13A is an example of a work record detailed information screen that is displayed when a rectangular icon is selected on the work history screen. The detailed information screen displays, for example, the type of cultivation work, the timing (date and time) of performing the work, the amount of work performed, the name of the user who entered the work record, and the like. By pressing the modify button, the contents of the work record (for example, implementation date, implementation time, amount of work, etc.) can be modified on this screen (user interface). Moreover, when the delete button is pressed, this work record is deleted from the cultivation work record data. In addition, in the case of an estimated work record, as shown in FIG. 13B, the "estimated" label is displayed instead of the user name. Such a display allows the user to determine whether the work record is based on user input or estimated information.

FIG. 13C is an example of a screen that is displayed when there is a difference in recorded content between the estimated work record and the corresponding user input work record. On this screen, the user can compare the estimated work record and the user input work record and select the correct one. Furthermore, by pressing the modify button, it is also possible to modify the contents of the selected work record.

In addition, when the cultivation support system 1 detects that there is a discrepancy between the estimated work record and the user input work record, it notifies the user terminal 3 of an alert and prompts the user to check the work history screen and correct the work record. It's okay.

(Providing work advice)
An example of the process of providing work advice by the work proposal unit 16 will be described.

The work proposal unit 16 reads the cultivation work record data of the target crop P from the cultivation work DB 14 periodically or at the timing when the cultivation work DB 14 is updated. Then, the work proposal unit 16 creates a future work plan for the target crop P (for example, the implementation date and amount of work for the next work, etc.) based on the cultivation work performed in the past, and provides the information to the user. suggest.

FIG. 14A shows an example of the work determination table referred to by the work proposal unit 16. The work determination table in FIG. 14A defines logic (rules) for determining the timing and amount of the next irrigation work based on the most recent amount of watering. For example, if 3L/m2 of irrigation was carried out on January 26th, the next irrigation work should be carried out at 3L/m2 on January 31st, five days later. FIG. 14B is an example of work advice displayed on the user terminal 3.

<Advantages of this system>
The cultivation support system 1 of the present embodiment acquires cultivation parameters based on measurement information of an environmental sensor, analyzes time-series data of cultivation parameters, estimates cultivation operations performed in the past, and obtains the estimated results. Cultivation work record data can be updated based on. This allows the cultivation work that has been performed to be automatically recorded, thereby reducing the burden on the user. Furthermore, since omissions and mistakes in work records can be cured or prevented, the reliability of cultivation work record data can be improved. By utilizing highly reliable cultivation work record data and presenting work history and work advice to the user, it becomes possible to provide useful and beneficial support information.

<Others>
The above embodiments are merely illustrative examples of configurations of the present invention. The present invention is not limited to the above-described specific form, and various modifications can be made within the scope of the technical idea. For example, although the cultivation support system 1 of the embodiment described above collects the measurement information of the environmental sensor via the cultivation environment control system 2, the cultivation support system 1 may collect the measurement information directly from the environmental sensor. Although the cultivation support system 1 of the embodiment described above performs both user input and estimation based on cultivation parameters, the user input is not essential. For example, all work records may be automatically recorded by estimation based on cultivation parameters, and the user may input input only when an error in estimation occurs or when adding or correcting information. .

<Additional notes>
1. Cultivation parameter acquisition means (10) for acquiring cultivation parameters that are indicators related to cultivation of the target crop (P);
Estimating means (13) for estimating cultivation work performed by the user in the past on the target crop (P) based on the cultivation parameters;
Cultivation work storage means (14) for storing cultivation work record data that is a record of cultivation work performed on the target crop (P);
Work record updating means (15) for updating the cultivation work record data based on the cultivation work information estimated by the estimation means (13);
A cultivation support system (1) comprising:

2. A step (S301) in which the computer (1) acquires cultivation parameters that are indicators related to cultivation of the target crop (P);
a step (S502) in which the computer (1) estimates the cultivation work performed by the user on the target crop (P) in the past based on the cultivation parameters;
a step (S504) in which the computer (1) updates cultivation work record data, which is a record of the cultivation work performed on the target crop (P), based on the estimated cultivation work information;
A cultivation support method having

1: Cultivation support system 2: Cultivation environment control system 3: User terminal 21: Soil moisture sensor 22: Image sensor 23: Temperature and humidity sensor 24: Irrigation device 25: Air conditioning equipment 26: Switch MS: Cultivation management system P: Target crop

Claims

Cultivation parameter acquisition means for acquiring cultivation parameters that are indicators related to cultivation of the target crop;
estimating means for estimating cultivation work performed by a user on the target crop in the past based on the cultivation parameters;
Cultivation work storage means for storing cultivation work record data that is a record of cultivation work performed on the target crop;
Work record updating means for updating the cultivation work record data based on the cultivation work information estimated by the estimation means;
A cultivation support system equipped with
The cultivation parameter acquisition means acquires the cultivation parameters based on information measured by a sensor or information input from an external device.
The cultivation support system according to claim 1.
The cultivation parameters include an index regarding the external shape of the target crop, an index regarding the growth state of the target crop, or an index regarding the cultivation environment of the target crop.
The cultivation support system according to claim 1 or 2.
The estimating means estimates the cultivation work performed by the user on the target crop in the past by analyzing time-series data of the cultivation parameters accumulated over a predetermined period.
The cultivation support system according to any one of claims 1 to 3.
The cultivation work record data includes at least information on the implementation timing and amount of cultivation work;
The cultivation support system according to any one of claims 1 to 4.
further comprising a work proposal means for creating a future work plan for the target crop based on the cultivation work record data and suggesting the future work plan to the user;
The cultivation support system according to any one of claims 1 to 5.
The cultivation work record data includes a user input work record that is information on the cultivation work input by the user, and an estimated work record that is information on the cultivation work estimated by the estimation means,
The work record updating means includes:
Determining whether a user input work record corresponding to the estimated work record exists in the cultivation work record data,
adding the estimated work record to the cultivation work record data when a corresponding user input work record does not exist;
The cultivation support system according to any one of claims 1 to 6.
The cultivation work record data includes a user input work record that is information on the cultivation work input by the user, and an estimated work record that is information on the cultivation work estimated by the estimation means,
The work record updating means includes:
Determining whether a user input work record corresponding to the estimated work record exists in the cultivation work record data,
Although a corresponding user input work record exists, if there is a difference between the corresponding user input work record and the estimated work record, the cultivation work record data is corrected using the estimated work record, or the user Outputs that there is a discrepancy between the input work record and the estimated work record,
The cultivation support system according to any one of claims 1 to 7.
further comprising a work history display means for generating and displaying a work history screen representing a history of cultivation work performed on the target crop based on the cultivation work record data;
The cultivation support system according to claim 7 or 8.
The work history display means generates the work history screen so that user input work records and estimated work records can be distinguished.
The cultivation support system according to claim 9.
The work history display means provides a user interface that allows input or modification of cultivation work on the work history screen.
The cultivation support system according to claim 9 or 10.
a step in which the computer obtains cultivation parameters that are indicators related to cultivation of the target crop;
a step of the computer estimating cultivation work performed by the user in the past on the target crop based on the cultivation parameters;
a step in which the computer updates cultivation work record data, which is a record of cultivation work performed on the target crop, based on the estimated cultivation work information;
A cultivation support method having
A program for causing a computer to execute each step of the cultivation support method according to claim 12.