JP2021006989A - Method, program and apparatus for calculating plant environmental response characteristic - Google Patents

Abstract

To calculate a relative growth rate for each item or variety.SOLUTION: A control apparatus 10 sets, through an environmental control apparatus 60, while keeping environmental conditions (for example, humidity, CO2 concentration, light, rhizosphere temperature, nutrient solution EC) other than a specific environmental condition (for example, air temperature) in an environmental control chamber 50 constant, the specific environmental condition sequentially as a reference condition (22°C) and a plurality of survey conditions (16°C, 14°C, etc.). The control apparatus acquires a measured value of the weight of a crop cultivated in the environmental control chamber. The control apparatus calculates a relative growth rate of the crop under each survey condition based on a change in the weight of the crop over time set under the survey condition (for example, 16°C) and a change in the weight of the crop over time set under the reference condition (22°C).SELECTED DRAWING: Figure 1

Description

The present invention relates to a method, a program and an apparatus for calculating environmental response characteristics of a plant.

In order to increase the yield of crops such as tomatoes cultivated in the greenhouse and reduce the risk of pest outbreaks, it is necessary to control the environment in the greenhouse. There are various environmental conditions in the greenhouse such as temperature, humidity, CO ₂ concentration, light, root zone temperature, nutrient solution EC, etc., and the combination of environmental conditions that can be set in environmental control is enormous.

JP-A-2016-195555

When controlling the environmental conditions in a greenhouse, it is necessary to judge whether the target environment in the greenhouse is appropriate, but make a detailed judgment according to the item and variety of crops cultivated in the greenhouse. In order to do so, detailed standards for each item and variety are required.

However, in the past, it was difficult to make a detailed judgment because the standard was roughly set based on past experience.

An object of the present invention is to provide a method, a program and an apparatus for calculating the environmental response characteristics of a plant capable of calculating the environmental response characteristics for each item or variety.

The method for calculating the environmental response characteristics of a plant of the present invention uses the specific environmental conditions as a reference condition and a plurality of survey conditions while keeping the environmental conditions other than the specific environmental conditions constant in a space in which the growing environment of the plant can be controlled. The index value indicating the growth of the plant cultivated in the space is acquired, and the information on the change of the index value in the first time set under the predetermined survey conditions and the reference condition are used. Based on the information on the change of the index value in the set time, the computer calculates the relative growth rate indicating the growth rate under the predetermined survey conditions with respect to the growth rate of the plant under the reference conditions. Is a method for calculating the environmental response characteristics of plants.

The method, program and apparatus for calculating the environmental response characteristics of a plant of the present invention have the effect of being able to calculate the environmental response characteristics for each item or variety.

FIG. 1A is a diagram showing a configuration of an information acquisition system according to an embodiment, and FIG. 1B is a photograph showing the inside of the environment control chamber 50. It is a figure which shows the hardware configuration of the control device of FIG. 1A. It is a functional block diagram of the control device of FIG. 1A. It is a flowchart which shows the processing of a control device. FIG. 5A is a diagram showing an example of an environmental control pattern, and FIG. 5B is a graph showing a weight measurement result and a weight change at predetermined time intervals. FIG. 6 (a) is a table showing the relative growth degree at each temperature, and FIG. 6 (b) is a graph obtained by functionalizing the data of FIG. 6 (a). It is a graph which schematicized the transition of the temperature in a greenhouse. It is a figure which shows the procedure of estimating the yield of a crop. 9 (a) to 9 (c) are diagrams (No. 1) for explaining the first embodiment. It is a figure (the 2) for demonstrating Example 1. FIG. 11 (a) to 11 (c) are diagrams (No. 1) for explaining the second embodiment. FIG. 2 is a diagram (No. 2) for explaining the second embodiment. 13 (a) to 13 (c) are diagrams (No. 1) for explaining the third embodiment. It is a figure (the 2) for demonstrating Example 3. FIG. FIG. 15 (a) is a diagram showing an environmental control pattern according to a modified example, and FIG. 15 (b) is a graph showing a weight measurement result and a weight increase rate at predetermined time intervals. It is a figure which shows another example of the environmental control pattern in the modification.

Hereinafter, the information acquisition system 100 according to the embodiment will be described in detail with reference to FIGS. 1 to 8. The information acquisition system 100 of the present embodiment is a system that automatically obtains and outputs environmental response characteristics for each crop item and variety.

FIG. 1A schematically shows the configuration of the information acquisition system 100. As shown in FIG. 1A, the information acquisition system 100 includes an environmental control chamber 50, an environmental control device 60, an irrigation device 70, a weighing scale 80, and a control device 10 as an environmental response characteristic calculation device. To be equipped.

The environment control chamber 50 has an internal space in which crops can be cultivated. The environment in the internal space of the environment control chamber 50 can be controlled by the environment control device 60. FIG. 1B is a photograph showing the inside of the environmental control chamber 50.

The environmental control device 60 is a device that controls various environmental conditions (temperature, humidity, CO ₂ concentration, light, root zone temperature, nutrient solution EC (electric conductivity)) in the internal space of the environmental control chamber 50. .. That is, the environment control device 60 includes a heating / cooling device, a humidifier, a dehumidifier, a CO ₂ concentration adjusting device, LED (Light Emitting Diode) lighting, a thermal heater and chiller for controlling the root zone temperature, a nutrient solution EC control device, and the like. Be prepared. The environment control device 60 controls the environment in the environment control chamber 50 under the control of the control device 10.

The irrigation device 70 is a device that waters the crops cultivated in the internal space of the environmental control chamber 50 under the instruction of the control device 10.

The weigh scale 80 measures the weight as an index value indicating the growth of the crop cultivated in the internal space of the environmental control chamber 50. The weighing scale 80 outputs the measurement result to the control device 10.

The control device 10 controls the environmental control device 60 and the irrigation device 70, acquires the measurement results of the weighing scale 80, and grows for each crop (for each item / variety) according to changes in environmental conditions (for example, air temperature). Create a graph showing how is changing. This graph shows the environmental response characteristics of crops. Further, the control device 10 displays the created graph on the display unit 93 (see FIG. 2) or outputs the created graph to the external device.

FIG. 2 shows the hardware configuration of the control device 10. As shown in FIG. 2, the control device 10 includes a CPU 90, a ROM 92, a RAM 94, a storage unit (HDD in this case) 96, a network interface 97, a display unit 93, an input unit 95, a portable storage medium drive 99, and the like. ing. The display unit 93 includes a liquid crystal display and the like, and the input unit 95 includes a keyboard, a mouse, a touch panel and the like. Each component of the control device 10 is connected to the bus 98. In the control device 10, a program stored in the ROM 92 or HDD 96 (including a plant environmental response characteristic calculation program) or a program read from the portable storage medium 91 by the portable storage medium drive 99 (plant environmental response characteristics). By executing the CPU 90 (including the calculation program), the functions of the respective parts shown in FIG. 3 are realized. The functions of each part in FIG. 3 may be realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

FIG. 3 shows a functional block diagram of the control device 10. In the control device 10, when the CPU 90 executes the program, as shown in FIG. 3, the environment control unit 12 as the setting unit, the irrigation control unit 14, the weight acquisition unit 16 as the acquisition unit, and the relative as the calculation unit. The functions as the growth degree calculation unit 18 and the output unit 20 are realized.

The environmental control unit 12 controls the environmental control device 60 based on a predetermined environmental control pattern, and controls various environmental conditions in the environmental control chamber 50. Here, in the present embodiment, the environmental control unit 12 controls a specific environmental condition (for example, temperature) based on the environmental control pattern, while the environmental condition other than the specific environmental condition (for example, humidity, CO ₂ concentration, light). , Root zone temperature, nutrient solution EC) is controlled to be kept constant.

The irrigation control unit 14 controls the irrigation device 70 to irrigate (water) the crops at predetermined time intervals. Further, the irrigation control unit 14 controls the irrigation device 70 at the timing immediately before measuring the weight of the crop using the weigh scale 80, and executes irrigation to the extent that water overflows from the seedling raising pot of the crop.

The weight acquisition unit 16 acquires the weight measurement result from the weight scale 80. The weight acquisition unit 16 sets the weight of the crop as the weight obtained by subtracting the total weight of the seedling raising pot and the soil and water in the seedling raising pot from the measurement result of the weigh scale 80.

The relative growth degree calculation unit 18 calculates the relative growth degree of the crop at each temperature from the measurement result of the weight of the crop acquired by the weight acquisition unit 16. Here, the relative growth rate at each temperature means the ratio (%) of the weight change of the crop at each temperature (survey condition) to the weight change of the crop at the reference temperature (reference condition).

The output unit 20 functions the relative growth degree calculated by the relative growth degree calculation unit 18 and creates a graph of environmental response characteristics for each crop (for each item or variety). Further, the output unit 20 displays the created graph on the display unit 93 or outputs the created graph to an external device.

(About the processing of the control device 10)
Next, the processing of the control device 10 will be described in detail with reference to other drawings as appropriate with reference to the flowchart of FIG. Here, as an example, the control device 10 of the present embodiment is a graph (environmental response) showing how the growth rate of a certain crop (for example, item “tomato”, variety “Momotaro”) changes with a change in temperature. A graph showing the characteristics) shall be created and output.

In step S10, the environmental control unit 12 executes environmental control based on a predetermined environmental control pattern. Here, the environmental control pattern is a pattern in which the air temperature is changed at predetermined time intervals as shown in FIG. 5A. In FIG. 5A, a predetermined time for changing the temperature is shown as a unit time (1 Time). The predetermined time (1 Time) may be one day, may be another length of time, and may be set for each crop variety or item.

Specifically, the environmental control pattern of FIG. 5A shows the reference temperature and the reference temperature, such as 22 ° C, 16 ° C, 22 ° C, 14 ° C, 22 ° C, etc., where the reference temperature is 22 ° C. The pattern is such that a temperature other than the standard temperature is sandwiched between them.

In the case of the environmental control pattern of FIG. 5A, in step S10 (first time) of FIG. 4, the environmental control unit 12 sets the air temperature in the environmental control chamber 50 to 22 ° C. It is assumed that the environmental control unit 12 controls other environmental conditions (humidity, CO ₂ concentration, light, rhizosphere temperature, nutrient solution EC) so as to maintain them at predetermined values.

Next, in step S12, the irrigation control unit 14 waits until a predetermined time elapses. The predetermined time in this case is 1Time described above. Therefore, the irrigation control unit 14 shifts to step S14 after a predetermined time (1 Time) has elapsed.

After moving to step S14, the irrigation control unit 14 executes irrigation. Here, an instruction is given to the irrigation device 70 to irrigate the root of the crop (seedling pot), and stop irrigation when the water overflows from the seedling raising pot.

Next, in step S16, the weight acquisition unit 16 acquires the weight measured by the weight scale 80. The weight acquired by the weight acquisition unit 16 in step S16 includes the weight of the crop, the weight of the seedling raising pot, the weight of the soil, and the weight of the irrigated water in step S14. In the present embodiment, before starting the treatment of FIG. 4, the total weight of the seedling raising pot, the weight of soil, and the weight of water when irrigated to the extent that the seedling raising pot overflows is measured and stored as a corrected weight. deep. Then, the weight acquisition unit 16 accurately measures the weight of the crop by subtracting the corrected weight from the weight measured in step S16. Since the irrigation in step S14 is irrigation for measuring the weight of the crop as described above, the irrigation control unit 14 appropriately performs the irrigation necessary for cultivating the crop separately from the treatment of FIG. It is assumed that there is.

Next, in step S18, the relative growth degree calculation unit 18 determines whether or not the environmental control based on the environmental control pattern is completed. If the determination in step S18 is denied, the process returns to step S10. Returning to step S10, the environment control unit 12 executes the environment control based on the environment control pattern of FIG. 5A. That is, in step S10 (second time) of FIG. 4, the environmental control unit 12 sets the air temperature in the environmental control chamber 50 to 16 ° C. After that, the processing and determination of steps S12, S14, S16, and S18 are executed as described above.

After that, the processing and determination of steps S10 to S18 are repeated, and when the environmental control based on the environmental control pattern of FIG. 5A is completed, the determination of step S18 is affirmed, and the relative growth degree calculation unit 18 shifts to step S20. To do.

When the process proceeds to step S20, the relative growth degree calculation unit 18 calculates the relative growth degree for each environmental condition. In this embodiment, the relative growth rate for each temperature is calculated. Hereinafter, the method of calculating the relative growth rate for each temperature will be described in detail.

FIG. 5B is a graph showing the measurement result of the weight (g / plant) of the crop and the weight change (g / plant) at a predetermined time (1 Time). When the relative growth degree calculation unit 18 obtains the relative growth degree (R _x ) at a certain temperature (x ° C.), first, the weight change (dW _n ) at the time maintained at that temperature (time n) is calculated. Identify. Further, the relative growth degree calculation unit 18 has a weight change (dW _n-1 ) in the time immediately before the time n maintained at the temperature (x ° C.) (time n-1) and a weight change in the time immediately after (time n + 1). Identify (dW _{n + 1} ). The weight changes dW _n-1 and dW _{n + 1} are weight changes during the time maintained at the reference air temperature (22 ° C.). Then, the relative growth degree calculation unit 18 obtains the relative growth degree R _x at the temperature x ° C. based on the following equation (1).
R _x = dW _n / (1/2 (dW _n-1 + dW _{n + 1} )) × 100… (1)

As can be seen from the above equation (1), the relative growth degree R _x is the weight change (dW _n ) of the time maintained at the temperature x ° C., and the weight change dW _{n-1 of} the time maintained at the temperature 22 ° C. It means the ratio (%) of dW _{n + 1 to} the average.

For example, in FIG. 5 (a), the relative growth degree R ₁₆ at a time set to a temperature of 16 ° C. (between Time = 1 and 2) is the weight changes dW ₁ , dW ₂ , and dW ₃ shown in FIG. 5 (b). Can be obtained from the following equation (2) using.
R ₁₆ = dW ₂ / (1/2 (dW ₁ + dW ₃ )) × 100… (2)

The relative growth rate at other temperatures can also be obtained in the same manner.

FIG. 6A is a table showing the relative growth degree at each temperature obtained as described above. In this embodiment, since the reference temperature is 22 ° C., the relative growth rate at the temperature of 22 ° C. is 100 (%).

Returning to FIG. 4, in the next step S22, the output unit 20 functions the relative growth rate to create a graph showing the environmental response characteristics, and outputs the graph. Specifically, the output unit 20 plots the data in the table of FIG. 6 (a) on a graph, and creates a graph as shown in FIG. 6 (b) by using the least squares method or the like. In the graph of FIG. 6B, the horizontal axis is the temperature and the vertical axis is the relative growth rate. Then, the output unit 20 displays the generated graph on the display unit 93 or outputs the generated graph to the external device.

As a result, all the processing of FIG. 4 is completed. The environmental response characteristics for environmental conditions other than air temperature (humidity, CO ₂ concentration, light, rhizosphere temperature, nutrient solution EC) can also be graphed and output in the same way by executing the process shown in FIG. it can. For example, when the environmental response characteristics to humidity are graphed and output, the humidity is maintained in the same environmental control pattern as in FIG. 5A (other than the reference humidity and the reference humidity) while maintaining the environmental conditions other than the humidity constant. Change based on the pattern of alternating humidity). Then, the relative growth degree at each humidity may be obtained from the weight change at each humidity based on the above equation (1).

(About processing of external devices (1))
Here, in the external device, the following information processing can be performed using the graph of FIG. 6B output from the control device 10.

For example, suppose that the external device is an information processing device that can be used by workers who grow crops (item "tomato", variety "Momotaro") in a greenhouse.

This information processing device uses environmental information acquired by outdoor sensors installed outside the greenhouse and greenhouse sensors installed inside the greenhouse, greenhouse facility information, equipment information installed inside the greenhouse, and equipment setting information. , Acquire forecast information of outdoor environment, and estimate the environment in the greenhouse based on each acquired information.

In addition, the information processing device evaluates the estimated environment in the greenhouse, and outputs control information to the controlled device so that the evaluation result is improved based on the evaluation result.

In the information processing apparatus that executes such processing, the graph of FIG. 6B can be used when evaluating the environment in the greenhouse. Since the graph of FIG. 6B is prepared for each crop variety and item, the information processing device corresponds to the crop actually cultivated in the greenhouse (item "tomato", variety "Momotaro"). Use the graph for evaluation.

For example, the information processing apparatus shifts to (1) night room temperature Tn, (2) daytime room temperature Td, and (3) nighttime and daytime with respect to the transition of the temperature in the greenhouse as schematically shown in FIG. 7 based on the acquired information. Predict average Tm, (4) day / night transition average Te. Here, the information processing device calculates the sunrise / sunset time based on the latitude, longitude, and month / day information, and calculates the night setting maintenance time mn (minutes) in FIG. 7 based on the calculation result. At the same time, the night-day transition (morning) time mm (minutes) and the day-night transition (evening) time me (minutes) are calculated as functions of the solar radiation and the outdoor temperature. Further, in the information processing apparatus, the time obtained by excluding mn, mm, and me from the time of the day is set as the daytime setting maintenance time md (minute).

Then, the information processing apparatus evaluates the predicted greenhouse environment as shown in FIG. Specifically, the information processing device evaluates the predicted change in the temperature inside the greenhouse by scoring it. At the time of this scoring, the information processing device refers to the graph (relationship between the temperature and the relative growth rate (FIG. 6 (b)) acquired from the control device 10; the vertical axis of FIG. 6 (b). In the following, the relative growth rate is referred to as the "temperature score", and the value of the relative growth rate is treated as a score (point). The information processing device handles the temperature in the greenhouse as a score at each time. The transition of the temperature score is calculated. Further, the information processing apparatus calculates the average of the temperature scores and uses it as the average daily temperature score.

Here, the information processing device adjusts (changes) the setting of the device, for example, if the daily average temperature score does not meet a predetermined criterion. In this case, the set temperature of the controlled device is adjusted so that the temperature score is higher. For example, when the temperature score in the daytime (or night) time zone is low, the set temperature in each time zone may be adjusted so that the daytime (or night) temperature score is high.

In addition, the information processing device evaluates the degree of influence of temperature on growth by using the average daily temperature score. In this case, the information processing apparatus calculates the expected growth amount DMo (g / m ² / d) based on the following equation (3), for example, using the daily average temperature score (referred to as S).
DMo = DMp × S… (3)

DMp is the potential growth amount (g / m ² / d) and means the growth amount in an ideal environment (when there is no suppression by temperature and humidity). If the DMo does not meet the standard, the information processing device changes the set temperature of the controlled device.

The information processing device may display the transition of the temperature score, the daily average temperature score, the expected growth amount DMo, and the like, and provide the information processing device to the worker. This allows the worker to determine whether the environment in the greenhouse is appropriate.

In the above, the information processing device has described the case of evaluating the temperature (predicted value) in the greenhouse, but the humidity, CO ₂ concentration, light, root zone temperature, and nutrient solution EC should be evaluated in the same manner. Can be done. In this case, using a graph showing the environmental response characteristics of humidity, CO ₂ concentration, light, rhizosphere temperature, and nutrient solution EC (similar to FIG. 6 (b)), humidity and CO ₂ concentration in the greenhouse, The light, rhizosphere temperature, and nutrient solution EC (predicted value) may be evaluated.

The information processing device can also evaluate the environment based on the measured value (measured value) of the environmental information in the greenhouse and output (display) the evaluation result. In this case, the information processing device acquires the information (actual temperature, humidity, CO ₂ concentration, light, root zone temperature, nutrient solution EC) detected by the greenhouse sensor, and based on the graph showing the environmental response characteristics. , The greenhouse environment should be evaluated and displayed.

(Regarding the processing of external devices (Part 2))
The external device may be an information processing device that estimates the yield of crops using a graph of environmental response characteristics output from the control device 10. This information processing device estimates the yield of crops based on photosynthetic properties.

In estimating the yield of this crop, as shown in FIG. 8, the information processing apparatus executes various calculations using the average temperature, the cumulative amount of solar radiation, and the average CO ₂ concentration during the period until harvest. Estimate the yield of the crop. Then, the information processing device can use the graph of the environmental response characteristic output from the control device 10 in this calculation. In FIG. 8, the data shown in the broken line frame is the biological information of the crop input by the worker, and the data shown in the gray frame is the environmental information obtained from the sensor or the like. Further, the data indicated by the alternate long and short dash line frame is preset information, and the data indicated by the solid line frame is information obtained by calculation.

For example, an information processing device considers the environmental response characteristics for air temperature when calculating the number of expanded leaves using the average air temperature. In addition, the information processing device considers the environmental response characteristics of light when calculating the cumulative amount of received light per day using the integrated amount of solar radiation. In addition, the information processing device takes into account the environmental response characteristics of the CO ₂ concentration when calculating the light utilization efficiency using the average CO ₂ concentration.

By doing so, it becomes possible to accurately estimate the yield. In the present embodiment, the case where the control device 10 creates and outputs a graph showing the environmental response characteristics as shown in FIG. 6B to the external device has been described, but the present invention is not limited to this. Absent. For example, the control device 10 may output data on the relative growth rate at each temperature as shown in FIG. 6A to the external device. In this case, the external device may create a graph of FIG. 6B from the data of FIG. 6A and use it for the above-described processing.

As described in detail above, according to the present embodiment, the environmental control unit 12 uses the environmental control device 60 to perform environmental conditions (humidity, for example) other than specific environmental conditions (for example, air temperature) in the environmental control chamber 50. While keeping the CO ₂ concentration, light, root zone temperature, nutrient solution EC) constant, set specific environmental conditions (air temperature) to the reference condition (22 ° C) and multiple survey conditions (16 ° C, 14 ° C, etc.) in sequence. (S10). In addition, the weight acquisition unit 16 acquires a measured value of the weight of the crop cultivated in the environment control chamber 50 (S16). Then, the relative growth degree calculation unit 18 determines the weight change (dW _n ) of the crop in the time set in the survey condition (for example, 16 ° C.) and the weight of the crop in the plurality of time set in the reference condition (22 ° C.). The relative growth degree under each survey condition is calculated by performing the process of calculating the relative growth degree R _x of the crop based on the change (dW _n-1 , dW _{n + 1} ) (S20). As a result, the relative growth rate under each survey condition can be automatically calculated for each variety and item.

Further, the output unit 20 creates and outputs a graph showing the environmental response characteristics with respect to the air temperature based on the calculation result of the relative growth degree calculation unit 18 (S22). As a result, in the present embodiment, a graph showing the environmental response characteristics as shown in FIG. 6B can be automatically created and output. In this case, by outputting a graph showing the environmental response characteristics to an external device (information processing device) that evaluates the growing environment of the crop and an external device (information processing device) that estimates the yield of the crop, the greenhouse Environmental evaluation and yield estimation can be performed appropriately. In addition, since graphs showing environmental response characteristics can be prepared for each variety and item, evaluation of whether or not the environment is appropriate and estimation of yield are performed in detail according to the item and variety of crop. be able to.

Further, in the present embodiment, the relative growth degree (R _x), weight change in the time immediately before is set in the reference conditions (temperature 22 ° C.) and (dW _n-1), weight change in the time immediately after the (dW _n The ratio (%) of the weight change in the time set as the reference condition to the average with ₊₁ ). Thereby, an appropriate value as the relative growth degree can be calculated by a simple calculation.

In the above embodiment, as the environmental control pattern, for example, "22 ° C.", 16 ° C., 14 ° C., 20 ° C., "22 ° C.", two or more kinds of air temperatures during the reference temperature (22 ° C.). You may adopt the pattern which sets. In this case, as the denominator of the above equation (1) (the average of the weight changes when the reference temperature is set), the weighted average of the weight changes (the weighted average with the time difference as the weight) may be used. For example, when calculating the relative growth degree R ₁₆ at 16 ° C, the value obtained by multiplying the weight change (dW _n-1 ) in the time set to the reference temperature (22 ° C) immediately before that by 3 and the reference temperature later. The number obtained by adding the value obtained by multiplying the weight change (dW _n-1 ) at the time set to (22 ° C.) by 1 and dividing by 4 (weighted average) is used as the denominator of the above equation (1). You may. Further, when calculating the relative growth degree R ₂₀ at 20 ° C., the value obtained by multiplying the weight change (dW _n-1 ) at the time set to the reference temperature (22 ° C.) by 1 before that, and then the reference. Add the value obtained by multiplying the weight change (dW _n-1 ) at the time set to the air temperature (22 ° C.) by 3, and divide by 4 (weighted average) to use as the denominator of the above equation (1). It may be. On the other hand, when calculating the relative growth degree R ₁₄ at 14 ° C., the average of the weight changes at the reference temperature (22 ° C.) before and after may be used as the denominator of the above equation (1).

In the above embodiment, as a result of setting the reference temperature to 22 ° C and the relative growth rate of the temperature of 22 ° C to 100%, a graph showing environmental response characteristics as shown in FIG. 6B was obtained, but depending on the crop, In some cases, the relative growth rate exceeds 100% at a certain temperature. In such a case, the relative growth of each temperature may be recalculated with the temperature at which the relative growth is highest as the reference temperature.

In the above embodiment, the relative growth degree calculation unit 18 has a plurality of crop weight changes (dW _n ) set in the survey conditions (for example, 16 ° C.) and a plurality of crop weight changes (dW _n ) set in the reference conditions (22 ° C.). The case of calculating the relative growth degree R _x of the crop based on the change in the weight of the crop over time (dW _n-1 , dW _{n + 1} ) has been described, but the present invention is not limited to this. For example, using only one value of the weight change of the crop (referred to as dW _z ) at the time set as the reference condition, which is the closest to the time when the survey condition is set, from the following equation (1)', the crop is used. The relative growth rate R _x may be calculated.
R _x = (dW _n / dW _z ) x 100 ... (1)'

Hereinafter, Examples 1 to 3 will be described. The present invention is not limited to the following examples.

(Example 1)
9 (a) to 9 (c) and 10 show examples of calculating the environmental response characteristics of crops (item “tomato”, variety “Momotaro York”) with respect to temperature. FIG. 9A shows a temperature treatment pattern when the survey condition is 35 ° C. and the reference condition is 25 ° C. In the first embodiment, the reference condition (25 ° C), the survey condition (35 ° C), and the reference condition (25 ° C) are set in this order, and other environmental conditions (humidity, CO ₂ concentration, light, root zone temperature, etc.) Nutrient solution EC) is a predetermined value (relative humidity: 50%, CO ₂ concentration: 400 ppm, photosynthetic effective photon density: 700 μmol · m ^-2 · s ^-1 , nutrient solution EC: 1.0 dS · s ^-1 ) And said.

As a result, the change in the weight of the crop is shown in FIG. 9 (b). Further, the weight changes dW _opt1 and dW _opt2 during the period set in the reference condition (25 ° C.) can be calculated as follows.
dW _opt1 = ln (141.5) -ln (136.4) / (3-0) = 0.0122
dW _opt2 = ln (158.6) -ln (150.9) / (9-5) = 0.0124
The weight change dW ₂ during the period set under the survey conditions (35 ° C.) is as follows.
dW ₂ = ln (147.8) -ln (143.2) / (15-11)
= 0.0079
These are as shown in FIG. 9 (c). The unit of weight change in FIG. 9 (c) is not limited to (g / g · h) and may be (/ h).

Therefore, from the above equation (1), the relative growth rate (R ₃₅ ) with respect to the reference temperature of 25 ° C. at a temperature of 35 ° C. can be calculated as follows.
R ₃₅ = dW ₂ / (1/2 (dW _opt1 + dW _opt2 )) x 100
= 0.0079 / (1/2 (0.0122 + 0.0124)) x 100
= 64.1 (%)

When the relative growth rate was calculated in the same manner for the other survey conditions, a graph as shown in FIG. 10 could be obtained. In FIG. 10, the relative growth rate under the reference condition (25 ° C.) is 100%.

(Example 2)
11 (a) to 11 (c) and 12 show examples of calculating the environmental response characteristics of the crops (item “tomato”, variety “Momotaro York”) with respect to the CO ₂ concentration. FIG. 11A shows a setting pattern of the CO ₂ concentration when the survey condition is 300 ppm and 1200 ppm and the reference condition is 400 ppm. In the second embodiment, the reference condition (400 ppm), the survey condition (300 ppm), and the survey condition (1200 ppm) are set in this order, and the other environmental conditions (temperature, humidity, light, root zone temperature, nutrient solution EC) are set in this order. Predetermined values (temperature: 25 ° C., relative humidity: 50%, effective photosynthetic photon density: 700 μmol · m ^-2 · s ^-1 , nutrient solution EC: 1.0 dS · s ^-1 ) were used.

As a result, the change in the weight of the crop is shown in FIG. 11 (b). Further, the weight change dW ₄₀₀ during the period set in the reference condition (400 ppm), the weight change dW ₃₀₀ and dW ₁₂₀₀ during the period set in the survey condition (300 ppm, 1200 ppm) can be calculated as follows.
dW ₄₀₀ = ln (230.1) -ln (228.5) / (2-1) = 0.0070
dW ₃₀₀ = ln (230.2) -ln (228) / (4-3) = 0.0064
dW ₁₂₀₀ = ln (232.8) -ln (230.1) / (6-5) = 0.0078
These are as shown in FIG. 11 (c). The unit of weight change in FIG. 11 (c) is not limited to (g / g · h) and may be (/ h).

Therefore, from the above equation (1)', the relative growth rate (R ₃₀₀ ) with respect to the reference condition (400 ppm) at CO ₂ concentration = 300 ppm can be calculated as follows.
R ₃₀₀ = dW ₃₀₀ / dW ₄₀₀ x 100
= 0.0064 / 0.0070 × 100
= 91.7 (%)

Similarly, the relative growth rate (R ₁₂₀₀ ) with respect to the reference condition (400 ppm) at CO ₂ concentration = 1200 ppm can be calculated as follows.
R ₃₀₀ = dW ₁₂₀₀ / dW ₄₀₀ x 100
= 0.0078 / 0.0070 × 100
= 121.5 (%)

When the relative growth rate was calculated in the same manner for the other survey conditions, a graph as shown in FIG. 12 could be obtained. In FIG. 12, the relative growth rate under the reference condition (400 ppm) is 100%.

(Example 3)
13 (a) to 13 (c) and 14 show examples of calculating the environmental response characteristics of the crop (item “tomato”, variety “Momotaro York”) with respect to the nutrient solution EC. FIG. 13A shows a setting pattern of the nutrient solution EC when the survey condition is 6 dS / m and the reference condition is 2 dS / m. In the third embodiment, the reference condition (2 dS / m), the survey condition (6 dS / m), and the reference condition (2 dS / m) are set in this order, and other environmental conditions (temperature, humidity, CO ₂ concentration, light) are set in this order. , Root zone temperature) was set to a predetermined value (air temperature: 25 ° C., relative humidity: 50%, CO ₂ concentration: 400 ppm, photosynthetic effective photon density: 700 μmol · m ^-2 · s ^-1 ).

As a result, the change in the weight of the crop is shown in FIG. 13 (b). The reference conditions (2dS / m) Weight of the set period to the change dW _EC2-1, dW _EC2-2, check condition (6dS / m) weight change dW _{EC 6} periods set in each calculated as follows it can.
dW _EC2-1 = ln (149.5) -ln (144.4) / (3-0) = 0.0116
dW _EC2-2 = ln (163.6) -ln (157.9) / (15-11)
= 0.0089
The weight change dW _{EC 6} for the period set in the check condition (6dS / m) is as follows.
dW _EC6 = ln (154.8) -ln (151.2) / (9-5) = 0.0059
These are as shown in FIG. 13 (c). The unit of weight change in FIG. 13 (c) is not limited to (g / g · h) and may be (/ h).

Therefore, from the above equation (1), the relative growth degree for hydroponics EC = 2dS / m in the nutrient solution _{EC = 6dS / m (R EC6} ) can be calculated as follows.
_{R EC6 = dW EC6 / (1/2} (dW EC2-1 + dW EC2-2)) × 100
= 0.0059 / (1/2 (0.0116 + 0.0089)) x 100
= 57.6 (%)

When the relative growth rate was calculated in the same manner for the other survey conditions, a graph as shown in FIG. 14 could be obtained. In FIG. 14, the relative growth rate under the reference condition (nutrient solution EC = 2) is 100%.

(Modification example)
In the above embodiment, when the relative growth rate at each temperature is calculated from the above equation (1) by using the weight change within each time (time for 1 Time) as shown in FIG. 5 (b). However, it is not limited to this. For example, the relative growth rate may be calculated using the rate of increase in the weight of the crop. Specifically, as shown in FIG. 15 (a), the weight of the crop is measured while performing environmental control based on the same environmental control pattern as in FIG. 5 (a). The relative growth degree calculation unit 18, from the graph showing the measurement results of the weight, as shown in FIG. 15 (b), determining the increase rate r _n (time 1Time min) Weight within each time. Here, the increasing rate r _n can be determined from the following equation.
r _n = (lnW _n −lnW _n-1 ) / (t _n −t _n-1 )… (4)

Note that lnW _n means the natural logarithm of the weight W _n . For example, if the rate of increase is r ₂ , the value is obtained by dividing lnW _2- lnW ₁ by a predetermined time ( ₁ Time).

Incidentally, r _opt1 ~r _OPT5 in FIG. 15 (b), it means the rate of increase in weight at the reference temperature (22 ° C.). For increasing rate r _opt1 ~r _OPT5 it can also be obtained from the above equation (4). For example, if the increase rate is r _opt1 , the value is obtained by dividing lnW ₁ −lnW ₀ by a predetermined time ( ₁ Time).

The relative growth degree calculating unit 18, the relative growth degree of temperature (x ° C.) a (R _x), using the increase rate r _n at temperature x ° C., determined from the following equation (5).
R _x = r _n / {(r _opt1 + r _opt2 + ... + r _optM ) / M} x 100 ... (5)

In the case of this modification, the environmental control pattern does not have to adopt a pattern in which the reference temperature is before and after the temperature other than the reference temperature as shown in FIG. 15A. That is, for example, as shown in FIG. 16, a plurality of temperatures other than the reference temperature may be set between the reference temperature and the reference temperature. Even in this way, the relative growth degree R _x can be obtained by using the above equation (5).

In the above-described embodiment and modified example, the case where the weight of the crop is automatically measured by using the weight scale 80 installed in the environment control chamber 50 has been described, but the present invention is not limited to this. For example, the weight of the crop may be measured by the worker placing the crop on a weigh scale each time. In this case, the measurement result of the weighing scale may be automatically transmitted to the control device 10, or the operator may manually input the measurement result to the control device 10.

In the above embodiment, the weight acquisition unit 16 has described the case where the weight of the crop measured by the scale 80 is acquired, but the present invention is not limited to this. For example, the weight acquisition unit 16 may acquire the weight of the crop estimated from the image of the crop. In this case, for example, the weight of the crop can be estimated based on the number of pixels included in the captured range of the crop in the captured image and a predetermined conversion formula. In this case, irrigation (step S14) immediately before acquiring the weight does not have to be performed.

In the above embodiment, the case where the weight acquisition unit 16 acquires the weight of the crop from the weigh scale 80 in step S16 and calculates the relative growth degree based on the weight change of the crop in step S20 has been described. However, not limited to this, the control device 10 acquires the surface area and volume of the crop as an index value indicating the growth of the crop in step S16, and in step S20, the relative growth is based on the change in the surface area and volume of the crop. The degree may be calculated. The surface area and volume of the crop can be estimated from the image of the crop. In this case, for example, the surface area and volume of the crop can be estimated based on the number of pixels included in the captured range of the crop in the captured image and a predetermined conversion formula.

The above processing function can be realized by a computer. In that case, a program that describes the processing content of the function that the processing device should have is provided. By executing the program on a computer, the above processing function is realized on the computer. The program describing the processing content can be recorded on a computer-readable storage medium (excluding the carrier wave).

When a program is distributed, it is sold in the form of a portable storage medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. It is also possible to store the program in the storage device of the server computer and transfer the program from the server computer to another computer via the network.

The computer that executes the program stores, for example, the program recorded on the portable storage medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes the processing according to the program. The computer can also read the program directly from the portable storage medium and execute the process according to the program. In addition, the computer can sequentially execute processing according to the received program each time the program is transferred from the server computer.

The embodiments described above are examples of preferred embodiments of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the gist of the present invention.

10 Control device (environmental response characteristic calculation device)
12 Environmental control unit (setting unit)
16 Weight acquisition section (acquisition section)
18 Relative growth calculation unit (calculation unit)

Claims (10)

In a space where the growing environment of plants can be controlled, while keeping the environmental conditions other than the specific environmental conditions constant, the specific environmental conditions are sequentially set as the reference condition and a plurality of survey conditions.
Obtain an index value indicating the growth of the plant cultivated in the space,
Based on the information on the change of the index value in the first time set in the predetermined survey condition and the information on the change of the index value in the time set in the reference condition, the reference condition of the plant. Calculate the relative growth rate indicating the growth rate under the predetermined survey conditions with respect to the growth rate below.
A method for calculating environmental response characteristics of plants, which comprises performing processing by a computer. Based on the relative growth under a plurality of survey conditions obtained as a result of repeatedly executing the calculation process while changing the predetermined survey conditions, the change in the relative growth according to the change in the specific environmental conditions is obtained. The method for calculating the environmental response characteristics of a plant according to claim 1, wherein the computer further executes a process of obtaining and outputting the function to be shown. The output process according to claim 2, wherein the function is graphed and output to an evaluation device for evaluating the growing environment of the plant or an estimation device for estimating the yield of the plant. Method for calculating the environmental response characteristics of plants. The relative growth degree is set to the reference condition after the change of the index value per unit time in the second time set in the reference condition before the first time and after the first time. The claim is a value indicating the ratio of the change in the index value per unit time in the first time to the average of the change in the index value per unit time in the third time. Item 3. The method for calculating the environmental response characteristics of a plant according to any one of Items 1 to 3. The plant according to claim 4, wherein the second time is a time immediately before the first time, and the third time is a time immediately after the first time. Environmental response characteristic calculation method. The relative growth rate is a value indicating the ratio of the rate of increase of the index value in the first time to the average of the rate of increase of the index value in a plurality of times set in the reference condition. The method for calculating the environmental response characteristics of a plant according to claim 1. The method for calculating the environmental response characteristics of a plant according to claim 6, wherein the rate of increase of the index value is a change in the natural logarithm of the index value per unit time. The method for calculating the environmental response characteristics of a plant according to any one of claims 1 to 7, wherein the index value is any one of the weight, surface area, and volume of the plant. In a space where the growing environment of plants can be controlled, while keeping the environmental conditions other than the specific environmental conditions constant, the specific environmental conditions are sequentially set as the reference condition and a plurality of survey conditions.
Obtain an index value indicating the growth of the plant cultivated in the space,
Based on the information on the change of the index value in the first time set in the predetermined survey condition and the information on the change of the index value in the time set in the reference condition, the reference condition of the plant. Calculate the relative growth rate indicating the growth rate under the predetermined survey conditions with respect to the growth rate below.
A plant environmental response characteristic calculation program for causing a computer to perform processing. In a space where the growth environment of plants can be controlled, a setting unit that sequentially sets the specific environmental conditions to a reference condition and a plurality of survey conditions while keeping the environmental conditions other than the specific environmental conditions constant.
An acquisition unit that acquires an index value indicating the growth of the plant cultivated in the space, and
Based on the information on the change of the index value in the first time set in the predetermined survey condition and the information on the change of the index value in the time set in the reference condition, the reference condition of the plant. A calculation unit that calculates the relative growth rate indicating the growth rate under the predetermined survey conditions with respect to the growth rate below.
A plant environmental response characteristic calculation device comprising.

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