JP7153304B2 - Plant cultivation support information provision system - Google Patents

Description

TECHNICAL FIELD The present invention relates to a technique for providing information for supporting plant cultivation according to the cultivation status of plants.

BACKGROUND ART Recently, as one of advanced forms of agriculture, a plant factory for cultivating crops in a controlled environment has been considered. In a plant factory, various sensors are used to detect the environment in which crops are cultivated, such as temperature and hours of sunlight. Various proposals have been made to improve productivity not only in plant factories but also in the field of agriculture. Patent Literature 1 discloses a technique for remote monitoring by installing a room temperature sensor in an agricultural house. Patent Literature 2 discloses an agricultural business support system that collects measurement data of each farmland, refers to a database prepared in advance, and gives advice on farmland optimization. Techniques for remotely performing agricultural work have also been proposed, and Patent Document 3 proposes an agricultural management robot that performs weeding work in fields by remote control or automatic operation.

JP 2015-188421 A JP-A-2002-215717 JP 2007-082523 A

However, the technique described in Patent Literature 1 only monitors whether the temperature of the cultivation area satisfies preset temperature conditions regardless of the actual growing conditions. The technique described in Patent Literature 2 was also only able to provide support for making farmland suitable for planting, regardless of the actual growing conditions. In Patent Document 3, too, the weeding operation was simply performed regardless of the growing conditions. As described above, none of the conventional techniques can support cultivation so as to obtain targeted cultivation results according to the cultivation situation of the cultivation area. Such a problem is not limited to highly controlled cultivation such as a plant factory, nor is it limited to the cultivation of agricultural products, but is a common problem for plants in general. An object of this invention is to support cultivation of a plant so that the target culture liquidation may be obtained in view of this subject.

The present invention
A plant cultivation support information providing system that provides a cultivation area with support information for supporting the cultivation of plants in the cultivation area,
an acquisition unit that acquires cultivation situation data representing the cultivation situation of the plant from the cultivation area;
Situation judgment for judging based on the cultivation situation data whether the cultivation situation conforms to a target cultivation situation set based on the past cultivation situation and the cultivation results so as to obtain a target cultivation result. Department and
a support information generation unit that generates support information for supporting cultivation so that a target cultivation result can be obtained according to the determination result;
It can be configured as a plant cultivation support information providing system including an output unit that outputs the support information to the cultivation area.

In the present invention, it is possible to determine whether or not a target cultivation result can be obtained based on the cultivation situation of the cultivation area, and to generate the support information. Since the judgment is made based on the past cultivation conditions and cultivation results, highly accurate judgment is possible. Therefore, by utilizing the support information of the present invention, it is possible to improve the possibility of achieving the target cultivation result.
Plants that are the subject of the present invention may be those that can be cultivated, such as crops, flowers, and fruits.
Cultivation areas can be, for example, plant factories, greenhouses, fields, and the like.
Targeted cultivation results may include flowering or harvest time, yield, quality such as color and nutrients, and the like.
Cultivation status data can be, for example, temperature, amount of sunshine, amount of water supply, images of plants, and the like. In addition, the cultivation status data may include the history of measures taken for plants, such as the amounts of fertilizers and pesticides. Cultivation status data is not limited to the current data, but may include the growth process up to the current time as the cultivation status data.
The target cultivation conditions include, for example, the temperature, the amount of sunshine, and the like that should be satisfied in order to obtain the target cultivation results. It is not always constant and may change according to the growth process of the plant. Each target cultivation situation may have an allowable range. In addition, a plurality of factors may be set with a correlation such that the allowable amount of sunshine changes according to the temperature.

In the present invention, various methods can be used to determine whether the cultivation conditions are suitable.
For example, the situation judgment unit makes the judgment by referring to a cultivation reference database that is set based on past cultivation situations and cultivation results and stores target cultivation situations for obtaining target cultivation results. good too.

This has the advantage of making it possible to relatively easily judge whether the cultivation conditions are appropriate or not by referring to the cultivation standard database.
The cultivation standard database is set based on past cultivation conditions and cultivation results. For example, for a certain plant, by analyzing the cultivation situation when sufficient cultivation results were obtained in the past, it is possible to obtain the cultivation situation for obtaining such cultivation results by combining factors such as temperature and amount of sunlight. . Conversely, by analyzing the cultivation situation when sufficient cultivation results are not obtained, it is possible to obtain the cultivation situation that should be avoided by combining each element. The cultivation standard database can be set by comprehensively performing such analysis. Such analysis may be performed by statistical analysis or artificial intelligence.

As another aspect,
a growth prediction unit that predicts a cultivation result with respect to the cultivation situation by using past cultivation situations and cultivation results as learning data;
The situation determination unit may make the determination based on a comparison between a result predicted by the growth prediction unit and a target cultivation result.

In this way, since the growth result is predicted, it is possible to improve the accuracy of judging the suitability of the cultivation situation.
For the growth prediction, for example, learning data may be referred to extract a case relatively close to the cultivation situation, and the cultivation result may be obtained. It can also be done using statistical analysis or artificial intelligence. Models for growth prediction may be set up in various ways.
Since there is an error in the growth prediction, whether or not the cultivation situation is appropriate may be determined by considering the error in the growth prediction when comparing the prediction result and the target cultivation result. For example, when the growth prediction error for the harvest time is 3 days, if the difference between the prediction result and the target cultivation result is within 3 days, it may be determined that the cultivation situation is appropriate.

When predicting growth using statistical analysis or artificial intelligence,
The acquisition unit may further acquire cultivation results from the cultivation area and update the learning data.
By doing so, the learning data can be further enriched, and the accuracy of growth prediction can be improved.
As the cultivation result, it is preferable to acquire information corresponding to the target cultivation result. For example, the time of flowering or harvesting of the plant, yield, quality such as color and nutrients, and the like can be mentioned.
Regarding the acquisition of cultivation results, it is possible to adopt a method of acquiring the results after instructing the workers in the cultivated area to transmit the results.
Appropriateness of the cultivation situation may be determined by applying either one of the method using the cultivation reference data and the method using the growth prediction, or both of them.

In the present invention, the support information can also have various contents.
for example,
The support information may be alert information indicating deviation from the target cultivation situation.
By doing so, it is possible to take measures as necessary in the cultivation area according to the alert information. The alert information may be lighting/display of a lamp or information indicating the deviation, or may be a display that allows the element to recognize the degree of deviation. For example, it is possible to change the display color from yellow to red according to the degree of deviation.

As another aspect,
The support information may be transition information for transitioning the cultivation situation to the target cultivation situation.
By doing so, it is possible to support transition to the target cultivation situation.
Generating migration information can be done in a variety of ways.
As a first method, the transition information may be set based on the difference between the current cultivation situation and the target cultivation situation determined based on the cultivation standard database. For example, the difference in temperature between the current temperature and the target cultivation situation can be used as transition information. If there is a difference between the current amount of sunshine and the target cultivation situation, it will be used as transitional information about the amount of sunshine.
As a second method, statistical analysis or regression by artificial intelligence may be performed based on learning data. That is, a cultivation situation for achieving a target cultivation result is obtained by regression, and this is used as the target cultivation situation, and the difference between the current cultivation situation and the target cultivation situation is used as transition information.
As a third method, growth prediction is performed to determine how the cultivation result will change when the current cultivation situation is virtually changed, and by repeating this process, target cultivation that can achieve the target cultivation result You may try to find out the situation.

When generating migration information in this way,
When the target cultivation result is changed, the situation determination unit and the support information generation unit may make the determination and generate the support information according to the change.
By doing so, there is an advantage that even if the target cultivation result is changed, it is possible to shift the cultivation situation accordingly. For example, if the target harvest time becomes earlier, even if the cultivation situation up to now is appropriate, the harvest time will be later than the target if the new harvest time is used as a reference. However, according to the above aspect, the appropriateness of the cultivation situation and generation of the support information are performed based on the changed harvest time, so the possibility of achieving the target harvest time can be increased.

Transition information can be of various contents and methods of generation.
For example, the transition information is control information for an adjusting device that is installed in the cultivation area and adjusts the cultivation situation,
The output unit may output the control information to the corresponding adjustment device.
By doing so, it is possible to automatically control the adjustment device to shift to the target cultivation situation, and reduce the burden of dealing with the cultivation area.
For example, when it is determined that the temperature is too high, control information is transmitted to the air conditioner to lower the temperature.

Also, as another aspect,
The transition information for transitioning to the target cultivation situation is work information for a worker in the cultivation area,
The output unit may present the work information to the worker.
The work information can be, for example, instructions for work that cannot be handled by automatic control, such as adding fertilizer, spraying pesticides, and opening and closing windows.
The output destination of the work information may be, for example, a display device or the like that is installed in the cultivation area and can be recognized by the worker, or may be a smart phone or other portable terminal possessed by the worker.
One of the control information of the adjustment device and the work information described above may be selected according to the coping method for migration, or both may be used together. Further, for example, when it is determined that the temperature is too high, control information for controlling the air conditioning equipment is output, but when the temperature still does not decrease, work information is output to instruct the worker in the cultivation area to open the window. Thus, both may be used sequentially.

In the present invention,
The acquisition unit may instruct the worker of the cultivation area about the cultivation situation to be acquired, and acquire the cultivation situation according to the instruction.
By doing so, it is possible to acquire appropriate information for determining whether the cultivation situation is appropriate or not, and as a result, it is possible to improve the determination accuracy.
Instructions to the worker can be presented on a display device in the cultivation area, a portable terminal carried by the worker, or the like. The cultivation status to be acquired may be, for example, image data of cultivated plants. In such a case, if the worker is instructed to "take a picture of the underside of the leaf" or the like to "instruct the cultivation situation to be acquired", it becomes possible to know the appropriate cultivation situation.
The instructions to the workers may be always issued when the cultivation status is acquired from the cultivation area, or may be issued only when it is determined that the information is insufficient based only on the cultivation status transmitted from the cultivation area. good. The latter has the advantage of being able to acquire necessary information without waste.

In the present invention,
having a user database that associates and stores workers with a plurality of cultivation areas;
The output unit may output support information for the cultivation area corresponding to an instruction from the worker.
By doing so, there is an advantage that a worker can be in charge of a plurality of cultivation areas. In such a case, it is preferable to output the support information using a portable terminal such as a smart phone possessed by the worker. By doing so, there is an advantage that even when the worker moves between a plurality of cultivated areas, he can confirm the information of each cultivated area.

The present invention does not necessarily have all of the features described above, and some of them may be omitted or combined as appropriate. The plant cultivation support information providing method described above may be configured as a plant cultivation support information providing method executed by a computer, or may be configured as a computer program for causing a computer to perform such a method. Furthermore, it may be configured as a computer-readable recording medium recording such a computer program.

BRIEF DESCRIPTION OF THE DRAWINGS It is explanatory drawing which shows the structure of a plant cultivation support information provision system. It is explanatory drawing which shows the structure of a user database, a cultivation-land database, and a cultivation condition database. FIG. 4 is an explanatory diagram showing the structure of learning data; FIG. 4 is an explanatory diagram illustrating an example of a display screen of a smart phone; It is a flowchart of a cultivation support information provision process. It is a flowchart of a situation determination process. It is a flow chart of support information generation processing. 6 is a flowchart of learning data update processing;

A. System configuration:
FIG. 1 is an explanatory diagram showing the configuration of a plant cultivation support information providing system 100. As shown in FIG. The plant cultivation support information provision system 100 is a system for acquiring the cultivation status of crops by utilizing sensors or the like installed in the cultivation area of the crops, and for supporting cultivation so that target cultivation results can be obtained. be.
The vinyl house shown in the lower right of the drawing represents a cultivation area targeted by the plant cultivation support information provision system 100 . Although two locations are illustrated in the figure, the number of cultivation areas may be one or three or more. Also, the cultivation area is not limited to a greenhouse, and may be an open field or the like.

In the cultivated area, a cultivated area unit 10 is provided for providing the plant cultivation support information providing system 100 with the cultivation status of the cultivated area and for receiving cultivation support information from the system. The configuration of the cultivated land unit 10 is as follows.
The sensor 13 is a sensor for acquiring cultivation situation data representing various cultivation situations in a cultivation area. Cultivation status data includes, for example, temperature, amount of sunshine, amount of water absorption, or humidity. Also, by using a camera as the sensor 13, it is possible to photograph the growing condition of the plant.
The display 12 is used to display support information from the plant cultivation support information providing system 100 . The display 12 can be installed at any location that can be visually recognized by workers in the cultivation area. When the support information is provided by voice, a speaker or the like for voice output may be installed together.
Sensor 13 and display 12 are connected to plant cultivation support information providing system 100 via network NE. The connection unit 11 is a device for connecting the sensor 13 and the display 12 to the network NE. The network NE may be the Internet, an intranet, or the like.
The field unit 10 may also include a smart phone 14 carried by a worker on the field. An application 15 for exchanging information with the plant cultivation support information providing system 100 is installed in the smartphone 14 . In this embodiment, the smartphone 14 is directly connectable to the network NE, but may be connected via the connection unit 11 .

The plant cultivation support information providing system 100 is configured in terms of software by installing a computer program for realizing each functional block illustrated in the server. Some or all of the illustrated functional blocks can also be configured in hardware. Moreover, the plant cultivation support information providing system 100 does not need to be composed of a single server, and may be composed of a plurality of servers or the like.
Each functional block will be described below.

The transmitting/receiving unit 111 realizes transmission/reception of information with the cultivated land unit 10 via the network NE.
The user database 101 is a database that stores information on workers in cultivation areas. Its structure will be described later.
The cultivated land database base 102 is a database that stores information on cultivated land. Its structure will be described later.
The cultivation situation database 103 is a database that stores cultivation situation data in a cultivation area. Its structure will be described later. In this embodiment, the cultivation situation data is obtained from the cultivated land unit 10, and the cultivation situation database 103 stores this data including past data.

The authentication unit 110 performs authentication by referring to the user database 101 when the worker uses the plant cultivation support information providing system 100 .
The acquisition unit 125 acquires cultivation status data from the cultivation land unit 10 . It also has a function of inputting information such as target cultivation results according to the operation of the operator.
The growth prediction unit 120 predicts the growth of cultivated plants by statistical analysis or artificial intelligence. The learning data 121 is data to be used for statistical analysis and prediction by artificial intelligence, and stores many past cultivation situations and cultivation results. The structure of the learning data 121 will be described later.

The cultivation standard database 122 is a database that stores cultivation conditions that should be satisfied in the process of plant growth in order to achieve cultivation results. The cultivation standard database 122 is generated by, for example, referring to past cultivation conditions and cultivation result data, extracting those that have obtained specific cultivation results, and analyzing the cultivation conditions that they satisfy. can do. At the same time, a cultivation standard may be set by extracting data deviating from specific cultivation results and avoiding those cultivation situations. Such cultivation criteria are generated for various cultivation results. For example, if a cultivation standard is set for each number of days from the start of cultivation to harvest, a cultivation standard database is constructed that can provide cultivation conditions for realizing a target harvest date. be able to.
The condition determination unit 123 refers to the cultivation standard database 122 and determines whether or not the cultivation condition matches the target cultivation condition. A determination method will be described later.
The support information generation unit 124 generates support information to be provided to the cultivated land in order to shift the cultivation situation to the target cultivation situation and achieve the target cultivation result. The content and generation method of the support information will be described later.

FIG. 2 is an explanatory diagram showing the structures of the user database 101, the cultivation land database 102, and the cultivation situation database 103. As shown in FIG.
The user database 101 stores information such as names of workers in the cultivation area for each user ID, which is identification information unique to the worker. In addition, among the cultivation areas using the plant cultivation support information provision system, the cultivation areas in charge of each worker can be registered as the cultivation areas in charge. The responsible cultivation area may be one or more. In the present embodiment, the cultivated area ID, which is an identifier attached to each cultivated area, is stored as the cultivated area in charge. This registration will provide workers with supporting information about their growing area.

The middle part of the figure shows the structure of the cultivated land database 102 . The cultivation area database 102 stores information such as the name and location of the cultivation area for each cultivation area ID, which is an identifier. Also stored is one or more pieces of information about the varieties grown in each growing area. In the illustrated example, the information about the first variety, “variety 1,” includes the name, quantity, image, harvest target, and the like. More information may be registered. Quantity means the number of strains and plants cultivated in a cultivation area. The image is used for display or the like to visually identify the variety, and may be a photograph, illustration, trademark, or the like of the variety. The harvest target is the harvest target of the variety in the cultivated area, and arbitrary items such as harvest date, harvest amount, and quality may be registered. The same items can be registered for the second variety "variety 2" cultivated in the cultivation area. Items to be registered for product type 1 and product type 2 do not necessarily have to match.

The structure of the cultivation status database 103 is shown in the lower part of the figure. The cultivation situation database 103 is a database that collectively manages the cultivation situation in all cultivation areas. Each record in the cultivation situation database 103 is assigned a situation ID as an identifier. Each record is registered with a cultivation area ID, a date and time, and a variety name, and it is possible to specify which cultivation area and cultivation status of the variety based on this information. In the embodiment, names and images are also registered along with varieties, but since these are information registered in the cultivated land database 102, they may be omitted.
Cultivation situations are registered in the cultivation situation database 103 . The cultivation status includes information representing the cultivation environment in the cultivation area, such as temperature, hours of sunshine, amount of water supply, fertilizers, and pesticides. Also, photographic data of cultivated plants may be registered. Furthermore, when the plant reaches harvest, etc., the harvest amount, quality, etc. may be registered.
Countermeasures are also registered in the cultivation situation database 103 . This is a record of the actions taken on the plants in the field. For example, addition of fertilizer, spraying of agricultural chemicals, etc. can be registered.
The cultivation situation database 103 thus records the cultivation situation of each cultivation area for each date and time. The contents and data structure to be recorded are not limited to the items described above.

FIG. 3 is an explanatory diagram showing the structure of the learning data 121. As shown in FIG. The learning data 121 is data for centrally storing past cultivation situations and cultivation results in all cultivation areas using the plant cultivation support information provision system. This data is used when the growth prediction unit 120 (see FIG. 1) predicts the growth of plants by statistical analysis or artificial intelligence.
In this embodiment, the record of the learning data 121 is created for each cultivation area and variety. As illustrated, each record of the learning data 121 stores a cultivated area ID that identifies the cultivated area and a "variety" there. Detailed information corresponding to the cultivated land ID can be identified by referring to the cultivated land data 102 . In the cultivation area illustrated in the figure, two varieties, namely, variety 1 and variety 2, are cultivated. will be
Cultivation conditions corresponding to cultivation areas and varieties are stored in each record. In the present embodiment, related situation IDs are stored. Detailed information corresponding to the situation ID can be obtained by referring to the cultivation situation database 103 .
Each record also stores a cultivation result. The items to be recorded as cultivation results can be arbitrarily set, but examples include flowering date, harvest date, harvest amount, quality, etc., as shown in the figure. As the quality, items such as color, shape, nutrients, and taste may be stored according to the purpose of plant cultivation. Although it is not necessary to standardize the cultivation results for all records of the learning data, it is desirable to standardize the items for each variety in order to enhance the learning effect of statistical analysis and artificial intelligence. By doing so, it becomes possible to utilize the cultivation conditions and cultivation results of the “variety 1” cultivated in a plurality of cultivation areas for growth prediction.

B. Examples of providing support information:
The plant cultivation support information provision system 100 provides support information to the display 12 (see FIG. 1) of the cultivation area, and uses the smartphone 14 used by the worker as a terminal, and provides information via the application 15 installed there. We also give and receive. An example of this information transfer will be described below.
FIG. 4 is an explanatory diagram exemplifying the display screen of the smartphone 14. As shown in FIG. A state in which the application 15 is activated is illustrated.
Various operation menus are displayed on the "home screen" shown in the center. "Management" is a menu for registering and updating worker information. By selecting this, the screen shifts to the management screen on the upper left. "Confirm status" is a menu for confirming the cultivation status in the cultivation area that the worker is in charge of. By selecting this, the screen shifts to the "Confirm status screen" on the lower left. "Send status" is a menu for sending the cultivation status in the cultivation area that the worker is in charge of to the plant cultivation support information providing system 100. By selecting this, the screen shifts to the "input instruction screen" on the upper right. do. "Alert" is a menu for confirming information from the plant cultivation support information provision system 100 for the cultivation area that the worker is in charge of, and by selecting this, the screen shifts to the "alert screen" on the lower right. . In addition, when there is new information from the plant cultivation support information providing system 100, a notification may be displayed on each screen.

The "management screen" displays the names of workers registered in the user database 101, user IDs, and the like. When the worker starts the application 15 for the first time, a user ID is assigned from the plant cultivation support information providing system 100 by newly registering the name on the management screen. The user registration mechanism is not limited to this aspect, and various well-known techniques can be used.
On the management screen, it is also possible to register, for example, the cultivation area that the worker is in charge of. The example in the figure shows a state in which "Nagoya 1" and "Nagoya 2" are registered as cultivated areas. As described above with reference to FIG. 2, the user database 101 stores the cultivation area ID of the cultivation area in charge, and by referring to the cultivation area database 102, the name corresponding to this cultivation area ID is specified. This name is displayed on the management screen because it can be used. By selecting "delete" next to each cultivated area, the worker can cancel the designation of the cultivated area in charge. You can also register a new cultivated area that you are in charge of by selecting "Add cultivated area" at the bottom of the screen. Other methods may be adopted for managing the cultivated land.
The functions of the management screen are not limited to these, and functions related to registration/update of more information regarding workers may be provided.

On the "status confirmation screen", the cultivation status of the cultivation area that the worker is in charge of is displayed. In the example of the figure, for the cultivated area "Nagoya 1", the current conditions such as temperature and humidity, and graphs showing past transitions are displayed. Items to be displayed in the cultivation status may be set arbitrarily, and more items may be displayed. Also, the worker himself/herself may customize the information to be displayed.
By swiping the status confirmation screen, you can check the cultivation status of other cultivation areas that the worker is in charge of.

On the "input instruction screen", an instruction is given to transmit the cultivation situation required by the plant cultivation support information providing system 100. FIG. In the example shown in the figure, an instruction is given to photograph the leaves of a plant, and the screen is switched to the camera screen. Instructions may include designation of growing areas and cultivars to be photographed. Also, a sample photo may be displayed on the screen to help recognize what kind of photo should be taken. When the worker takes a picture of the instructed plant and selects "send", the taken picture data is sent to the plant cultivation support information providing system 100 and used for various judgments and analyses.
The "input instruction" is not limited to photographing, but can be various information such as measurement results of stem and leaf lengths, the number of flowers and fruits per plant, and the like. In addition to the state of plants, it is also possible to instruct input of the types and amounts of added fertilizers and pesticides.

If the cultivation status of the cultivated land deviates from the appropriate situation (target cultivation status), the "alert screen" displays the deviation, its contents, countermeasures, and so on. In the example shown in the figure, the content "room temperature is high" and "air conditioning already adjusted", that is, the automatic control of the air conditioning equipment is displayed. The star next to "Alert" indicates that the more black stars there are, the more urgent it is, and in the example in the figure, it means that the degree of urgency is low. Under the alert, the worker is instructed to "open doors/windows" as a "countermeasure". According to this instruction, the operator can open doors and windows to lower the temperature, thereby achieving proper cultivation conditions. Various contents of alerts and countermeasures are conceivable according to cultivation conditions.
On the alert screen, instead of the alert, a display indicating that the cultivation situation is in an appropriate situation may be performed. By doing so, workers can continue cultivation without worry. Also, in such a case, the original work that the worker should do may be displayed in place of the "countermeasure". Normally, the workers should be aware of the work that should be done under the appropriate cultivation conditions without being instructed again. You can avoid making mistakes in the work that should be done.
The alert screen may also be swiped to display screens of other cultivation areas. Moreover, in the case of an alert with high urgency, the "alert screen" may be popped up without waiting for the selection of the "alert" menu on the home screen.

C. Cultivation support information provision processing:
Processing for realizing the functions described with reference to FIG. 1 and the display described with reference to FIG. 4 will be described below.
C1. Overall processing:
FIG. 5 is a flowchart of cultivation support information provision processing. The plant cultivation support information provision system 100 is a function realized using each functional block shown in FIG. be.
When the process is started, the server acquires cultivation status data from the cultivation area (step S10). Information is obtained from the cultivated land unit 10 (see FIG. 1) via the network NE. Cultivation is not limited to one place. The acquired cultivation situation data is stored in the cultivation situation database 103 .
The server then performs situation determination processing (step S11). Although the content of the processing will be described later, it is determined whether or not the acquired cultivation conditions match the target cultivation conditions for obtaining the target cultivation results. In this process, cultivation situation data is insufficient, and proper judgment may not be possible.
Therefore, when the information is insufficient as a result of the situation determination processing (step S12), the server instructs the worker in the cultivation area to transmit the information (step S13). The "input instruction screen" previously shown in FIG. 4 is displayed. The information instructing the input may be predetermined information such as photographing, or may be determined according to the result of the situation determination process. If the information is transmitted according to the instruction, the server will execute steps S10 and S11 again.

When the situation determination process is completed, the server performs support information generation process (step S14) and outputs support information (step S15). The support information generation processing is information for supporting cultivation in the cultivation area, and includes information displayed on the "status confirmation screen" and the "alert screen" in FIG. The output destination of the support information is the display 12 provided in the cultivation area, the smart phone 14 used by the worker, or the like. Depending on the cultivation situation, a control signal for controlling equipment in the cultivation area may be generated as support information. In such a case, the output destination of the support information is the equipment in the cultivation area.

C2. Situation judgment processing:
FIG. 6 is a flow chart of the situation determination process. This process is mainly executed by the growth prediction unit 120 and the situation determination unit 123, and corresponds to step S11 of the cultivation support information provision process.
When the processing is started, the server reads the harvest target and cultivation status database (step S20). The harvest target may be instructed by the worker, or may be separately instructed to the server by the manager of the cultivation area. Harvest targets include, for example, plant flowering, harvest time, yield, and quality.
The harvest target specified at the start of cultivation may be continuously used, or may be changed at appropriate timing. For example, it is conceivable to change the harvest target when it is desired to advance or delay the harvest time in view of the market shipment status. In this embodiment, the following situation judgment processing is performed based on the changed harvest item table.

Next, the server performs growth prediction processing and calculates deviation E1 from the harvest target (step S21). In this embodiment, growth prediction is performed by statistical analysis or artificial intelligence based on learning data 121 . Various growth prediction models can be applied. Deep learning is not necessarily required. The deviation E1 becomes an evaluation value according to the harvest target. For example, if the harvest target is the flowering or harvesting date, the deviation E1 is a value representing "number of days". Also, if the harvest target is the harvest amount, the deviation E1 will be a value representing the amount, and if the quality is nutrient or the like, it will be a value corresponding to the type. Since there is an error in the growth prediction, the deviation E1 may be a value considering this error. For example, if the growth prediction error with respect to the harvest time is 3 days, and the difference between the prediction result and the target cultivation result is within 3 days, the deviation E1 is "0 days", that is, the harvest target is almost reached. A value that indicates a match may also be used.

Next, the server identifies the difference E2 between the cultivation situation and the target cultivation situation (step S22). The target cultivation situation can be obtained by referring to the cultivation standard database 122 . The deviation E2 may be an evaluation value according to factors representing cultivation conditions such as temperature and amount of sunshine. For example, if the current temperature is different from the target temperature, the temperature difference is the deviation E2. In the case of the amount of sunshine, the sunshine duration, sunshine intensity, etc. are the difference E2. The deviation E1 does not need to be the same evaluation value as the deviation E1 obtained as a result of the growth prediction.

After obtaining the deviations E1 and E2 in this manner, the server judges the situation based on these evaluation values (step S23). In the present embodiment, determination is made by classifying into three types as follows.
If the deviations E1 and E2 are both within the allowable range, it is judged to be "GREEN", that is, the cultivation state is proper.
If one of the deviations E1 and E2 is within the allowable range and the other is outside the allowable range, it is determined to be "YELLOW", that is, the cultivation situation requires caution.
If the deviations E1 and E2 are both out of the allowable range, it is determined to be "RED", that is, the cultivation state is in a warning state that cannot be left unattended.
The "permissible range" used for these determinations may be set based on past cultivation examples or the like according to the contents of the deviations E1 and E2. In the above example, in order to simplify the situation judgment, the method of judging whether it is within the allowable range or not is used. It may be changed to

In addition, in this embodiment, it is determined that "information is insufficient" when it is not possible to determine based only on deviations E1 and E2. For example, when evaluating the quality, it can be judged that the harvest target can be almost achieved according to the deviation E1, and it is judged that the target cultivation situation is deviated from the target cultivation situation to the extent that it can be said to be a warning state according to the deviation E2. is so large as to be inconsistent. In such a case, the server cannot evaluate the cultivation situation and determines that the information is insufficient. If the information is insufficient, the worker is instructed to send additional information as described above (step S13 in FIG. 5).
In order to instruct the transmission of additional information, if it is determined that information is insufficient, it may be determined what kind of information is necessary. In the above example, it is considered that information that can determine the quality of the plant at the present time is sufficient, so for example, it is conceivable to designate the image of the plant as the additional information. As the additional information, various other items such as the size of the plant and the number of flowers are conceivable. Of course, these various items may be requested as additional information regardless of the cause of the lack of information.

In this embodiment, an example is shown in which situation judgment based on growth prediction and situation judgment based on the cultivation standard database 122 are used together. Only one of them may be used for the situation determination.
Also, in this embodiment, the judgment results of both are equally evaluated and the final situation judgment is made (step S23), but either judgment may be prioritized. For example, if the judgment based on the growth prediction is prioritized, only when the judgment result is judged to be off the target, the condition judgment based on the cultivation standard database is referred to, and YELLOW or RED is determined. be able to. If it is determined that the target is achieved based on the growth prediction, the situation determination based on the cultivation standard database 122 is omitted. Conversely, a mode may be adopted in which the determination based on the cultivation standard database 122 is prioritized.

In this embodiment, as described above, when the harvest target is changed after cultivation, the cultivation situation is determined according to the changed harvest target. By doing so, it is possible to realize cultivation that follows flexible changes in the harvest target. However, depending on the timing and degree of change in the harvest target, such as when the harvest time is changed to an extremely early time, there may be cases where it is impossible to respond. In the situation judgment process, when the harvest target is changed in such a manner that it is not possible to keep up, it may be judged as "impossible" and correction of the harvest target may be urged.

C3. Support information generation processing:
FIG. 7 is a flowchart of support information generation processing. This process is mainly executed by the support information generation unit 124 and corresponds to step S14 of the cultivation support information provision process.
In the support information generation process, the processing content is divided according to the result of information determination (step S30). If the status determination result is GREEN, it is determined that the cultivation status is appropriate, so the server generates a status quo signal as support information (step S31). The status quo signal may be, for example, a green mark displayed on the display 12 or the smartphone 14 . At the stage of step S31, a control signal or command for such display is generated.
Next, the server instructs work and the like according to the target cultivation situation as support information (step S32). By referring to the cultivation standard database 122, a control signal or a command is generated for displaying on the display 12 or the smartphone 14 what the worker should do next. If the cultivation conditions are appropriate, it is assumed that the worker will be aware of the next work until such instructions are given. There are advantages that can be avoided in advance.
The support information set in this way is output to the display 12 of the cultivation area and the smartphone 14 (step S15 in FIG. 5).

On the other hand, if the status determination result is YELLOW or RED (step S30), the server generates an alert (step S33). Contents of the alert include, for example, those shown in the "alert screen" of FIG.
Next, the server identifies the deviation between the cultivation situation and the target cultivation situation (step S34). In this embodiment, the discrepancy between the cultivation situation in the cultivation area and the cultivation reference database 122 is specified. Instead of such a method, a method based on statistical analysis or artificial intelligence may be adopted. By using the learning data 121 and performing statistical analysis and regression by artificial intelligence to obtain target cultivation results, the target cultivation situation at the present time is set, and deviation from it is specified.

After specifying the deviation in this way, the server specifies a coping method for resolving the deviation (step S35). In other words, transition information for shifting the cultivation situation to the target cultivation situation is generated. The figure shows an example of generation of migration information.
For example, if the cultivation situation is identified as having a "higher temperature" than the target cultivation situation, changing the temperature setting of the air conditioner is a coping method, and transition information is generated to instruct it. It will be. This transition information is generated as a control signal for controlling the air conditioning equipment in the cultivation area.
In addition, in the case of water supply shortage, "sprinkler control" is a coping method, and transition information for instructing it is generated. This transition information is also generated as a control signal for controlling equipment in the cultivated field.
In the case of fertilizer shortage, "addition of fertilizer" is the coping method, and transition information for instructing it is generated. Since this transition information serves as an instruction to the worker in the cultivation area, it is generated as display information for displaying the instruction on the display 12 or the smartphone 14 .
The shift information is preferably generated as specific information such as setting the air conditioning temperature to T2 degrees based on a specific numerical value such as the temperature being T1 degrees higher. The same applies to factors other than temperature.

Next, the server modifies the coping method in consideration of the content of the instruction (step S36). For example, in the case of "temperature is high", in step S35, the coping method of "change the temperature setting of the air conditioner" is determined, but if the instruction to change the temperature setting has been given in the past, the server It is determined that this coping method cannot be dealt with, and the coping method is changed to "instruct the worker to open the window". Correction of such a coping method, for example, has a plurality of coping method candidates for the deviation of the cultivation situation, and sequentially applies these candidates according to the preset priority etc. can be realized.
In the embodiment, an example is shown in which the coping method is corrected in consideration of past instructions, but one or more may be selected from a plurality of candidates according to the magnitude of the deviation. For example, when the temperature is too high, it is conceivable to instruct to open the window together with controlling the air conditioner.

The support information thus set is output to the cultivation area according to its contents (step S15 in FIG. 5). If the support information is a control signal for the equipment in the cultivation area, it will be output to the corresponding equipment, and if it is an instruction to the worker, it will be output to the display 12 or the smartphone 14. will be

C4. Learning data update process:
In this embodiment, the accuracy of growth prediction is improved by updating the learning data 121 with the cultivation results in the cultivation area. Below, update processing of the learning data 121 will be described.
FIG. 8 is a flowchart of learning data update processing. When the processing is started, the server acquires data on cultivation areas and varieties (step S40). Acquisition of information can be performed through the smart phone 14 of the worker, for example. The server determines whether or not there is existing data in the learning data 121 using the input cultivation area and variety as search keys (step S41). If there is no existing data, the server creates a new learning data record (step S42), and if there is existing data, it reads and displays it (step S43).

Next, the server acquires cultivation result data (step S44). For example, a screen such as the input instruction screen (FIG. 4) may be displayed to instruct the worker in the cultivation area to transmit the cultivation results. As the cultivation result to be acquired, it is preferable to acquire information corresponding to the target cultivation result. For example, the time of flowering or harvesting of the plant, yield, quality such as color and nutrients, and the like can be mentioned. The worker does not need to send all the requested cultivation results, and may send only a part of the information that can be obtained.

When the server receives the cultivation result, it updates the learning data 121 (step S45). By doing so, the learning data 121 can be enriched, and the accuracy of growth prediction can be improved. The growth prediction model may be updated together with the update of the learning data 121 .
Cultivation results may be entered in stages. For example, when the plant blooms, the date of flowering is transmitted as the result of cultivation, and after that, at the time of harvest, the date of harvest is transmitted as the result of cultivation. At the beginning of the process, existing data has been retrieved, so any later submitted harvest dates will be recorded in addition to the existing data.
In addition, when the learning data 121 is updated, regression by statistical analysis or artificial intelligence may be performed to obtain cultivation conditions that should be satisfied in the process of plant growth, and the cultivation standard database 122 may also be updated.

D. Effects and variations:
According to the plant cultivation support information provision system of the embodiment described above, it is possible to acquire the cultivation situation in the cultivation area and accurately judge the suitability of the cultivation situation based on the past cultivation situation and cultivation results. By providing this determination result as support information to the cultivation area, it is possible to improve the possibility that the target cultivation result will be achieved.
The various features described in the embodiments do not necessarily have to include all of them, and a system may be constructed by omitting or combining some of them as appropriate. Moreover, the present invention is not limited to the embodiment, and can be configured in various modifications.

INDUSTRIAL APPLICATION This invention can be utilized in order to provide the information which supports the cultivation according to the cultivation condition of a plant.

DESCRIPTION OF SYMBOLS 10... Cultivation field unit 11... Connection unit 12... Display 13... Sensor 100... Plant cultivation support information provision system 101... User database 102... Cultivation field database 103... Cultivation situation database 110... Authentication part 111... Transmission/reception part 120... Growth prediction part 121... Learning data 122... Cultivation standard database 123... Situation determination unit 124... Support information generation unit 125... Acquisition unit

Claims (12)

A plant cultivation support information providing system that provides a cultivation area with support information for supporting the cultivation of plants in the cultivation area,
an acquisition unit that acquires cultivation situation data representing the cultivation situation of the plant from the cultivation area;
a growth prediction unit that predicts the cultivation result for all or part of the quality such as flowering or harvest time, harvest amount, color and nutrients for the cultivation situation by using the past cultivation situation and cultivation result as learning data; have
Based on the comparison between the prediction result of the growth prediction unit and the target cultivation result so that the target cultivation result can be obtained for all or part of the quality such as flowering or harvest time, yield, color and nutrients. a situation judgment unit that judges, based on the cultivation situation data, whether the cultivation situation conforms to a target cultivation situation that is set based on the past cultivation situation and cultivation results;
a support information generation unit that generates support information for supporting cultivation so that a target cultivation result can be obtained according to the determination result;
and an output unit that outputs the support information to the cultivation area.,
The support information is transition information for transitioning the cultivation situation to the target cultivation situation,
The target cultivation situation,
(1) A method of obtaining the cultivation situation for achieving the target cultivation result by statistical analysis or regression by artificial intelligence,
or,
(2) The target cultivation that can achieve the target cultivation result by obtaining, by the growth prediction unit, how the cultivation result will change when the current cultivation situation is virtually changed, and repeating this process. how to ask for a situation,
and the difference between the current cultivation situation and the target cultivation situation is used as transition information
Plant cultivation support information provision system. The plant cultivation support information provision system according to claim 1,
The situation judgment unit refers to a cultivation reference database that is set based on past cultivation situations and cultivation results, and that stores target cultivation situations for obtaining target cultivation results. Plant cultivation support information for making the judgment. offer system. The plant cultivation support information provision system according to claim 1,
The situation determination unit determines whether a first deviation between a result predicted by the growth prediction unit and a target cultivation result is within an allowable range, and determines whether a second deviation between the target cultivation situation and the cultivation situation is within an allowable range. determine whether it is within the allowable range,
The plant cultivation support information providing system, wherein the support information generation unit generates the support information when one or both of the first deviation and the second deviation are out of the allowable range. The plant cultivation support information provision system according to claim 1,
The plant cultivation support information providing system, wherein the acquisition unit further acquires cultivation results from the cultivation area and updates the learning data. The plant cultivation support information provision system according to any one of claims 1 to 4,
The plant cultivation support information providing system, wherein the support information is alert information indicating deviation from the target cultivation situation. The plant cultivation support information provision system according to claim 1 ,
The plant cultivation support information providing system, wherein the situation judgment section and the support information generation section perform the judgment and the generation of the support information according to the change when the target cultivation result is changed. Claim 1 The plant cultivation support information provision system described,
The transition information for shifting to the target cultivation situation is control information for an adjusting device installed in the cultivation area and adjusting the cultivation situation,
The plant cultivation support information providing system, wherein the output unit outputs the control information to the corresponding adjustment device. Claim 1 The plant cultivation support information provision system described,
The transition information for transitioning to the target cultivation situation is work information for a worker in the cultivation area,
The plant cultivation support information providing system, wherein the output unit presents the work information to the worker. Claims 1-8 Any of the plant cultivation support information providing systems,
A plant cultivation support information providing system in which the acquisition unit instructs a worker in the cultivation area about a cultivation situation to be acquired, and acquires the cultivation situation according to the instruction. Claims 1 to 9 Any of the plant cultivation support information providing systems,
having a user database that associates and stores workers with a plurality of cultivation areas;
The plant cultivation support information providing system, wherein the output unit outputs the support information of the cultivation area corresponding to the instruction from the worker. A plant cultivation support information providing method for providing a cultivation area with support information for supporting plant cultivation in the cultivation area by a computer,
The steps performed by the computer include:
a step of acquiring cultivation status data representing the cultivation status of the plant from the cultivation area;
A step of predicting the cultivation result for all or part of the quality such as flowering or harvest time, harvest amount, color and nutrients for the cultivation situation by using the past cultivation situation and cultivation result as learning data;
Based on the comparison of the growth prediction result and the target cultivation result, past past a step of determining, based on the cultivation situation data, whether the cultivation situation conforms to a target cultivation situation set based on the cultivation situation and cultivation results;
a step of generating support information for supporting cultivation so as to obtain a target cultivation result according to the judgment result;
and outputting the support information to the cultivation area.,
The support information is transition information for transitioning the cultivation situation to the target cultivation situation,
The target cultivation situation,
(1) A method of obtaining the cultivation situation for achieving the target cultivation result by statistical analysis or regression by artificial intelligence,
or,
(2) The growth prediction unit obtains how the cultivation result will change when the current cultivation situation is virtually changed, and by repeating this process, the target cultivation that can achieve the target cultivation result. how to ask for a situation,
and the difference between the current cultivation situation and the target cultivation situation is used as transition information
Plant cultivation support information providing method. A computer program for providing a cultivation area with support information for supporting the cultivation of plants in the cultivation area,
a function of acquiring cultivation status data representing the cultivation status of the plant from the cultivation area;
A function of predicting the cultivation result for all or part of the quality such as flowering or harvest time, harvest amount, color and nutrients for the cultivation situation by using the past cultivation situation and cultivation result as learning data;
Based on the comparison of the growth prediction result and the target cultivation result, past past Whether or not the cultivation situation is suitable for the target cultivation situation set based on the past cultivation situation and cultivation results so as to obtain the target cultivation result is determined based on the cultivation situation and the cultivation results. a function of determining based on the cultivation situation data;
A function of generating support information for supporting cultivation so that a target cultivation result can be obtained according to the determination result;
a computer realizing a function of outputting the support information to the cultivation area;,
The support information is transition information for transitioning the cultivation situation to the target cultivation situation,
The target cultivation situation,
(1) A method of obtaining the cultivation situation for achieving the target cultivation result by statistical analysis or regression by artificial intelligence,
or,
(2) The growth prediction unit obtains how the cultivation result will change when the current cultivation situation is virtually changed, and by repeating this process, the target cultivation that can achieve the target cultivation result. how to ask for a situation,
and the difference between the current cultivation situation and the target cultivation situation is used as transition information
computer program.

Images