Seedling management method, and server and system using same

Abstract

A seedling management method according to an embodiment of the present invention comprises the steps of: extracting, from an image of seedlings, a unit area set on the basis of a sales unit of the seedlings; calculating, by a seedling management server, a first growth score for each of the seedlings on the basis of the growth state of each of the seedlings included in the extracted unit area; calculating, by the seedling management server, a second growth score for the seedlings on the basis of growth uniformity of the seedlings included in the unit area; and evaluating, by the seedling management server, the grade of the seedlings on the basis of the first growth score and the second growth score.

Description

Seedling management method, server and system utilizing it

[0001] The present invention relates to a seedling management method, a server and a system using the same, and more specifically, to a seedling management method capable of extracting a unit area set based on the sales unit of the seedling from an image of the seedlings and evaluating the grade of the seedlings based on a first growth score for each seedling and a second growth score based on the growth uniformity of the seedlings within the unit area, a server and a system using the same.

[0002] Seedling cultivation refers to all the work involved in growing seeds over a certain period to produce high-quality seedlings suitable for transplanting.

[0003] Although the condition of seedlings cultivated through the nursery process can be verified through the appearance of individual seedlings, it is difficult to determine the exact condition of the seedlings because there are differences in the degree of growth after transplanting, even if they have the same appearance.

[0004] The technical problem to be solved by the present invention is to provide a seedling management method capable of extracting a unit area set based on the sales unit of the seedling from an image of the seedlings and evaluating the grade of the seedlings based on a first growth score for each seedling and a second growth score based on the growth uniformity of the seedlings within the unit area, as well as a server and a system utilizing the same.

[0005] A seedling management method according to an embodiment of the present invention may include the steps of: a seedling management server extracting a unit area set based on a sales unit of seedlings from an image of seedlings; the seedling management server calculating a first growth score for each of the seedlings based on the growth status of each of the seedlings included within the extracted unit area; the seedling management server calculating a second growth score for the seedlings based on the growth uniformity of the seedlings included within the unit area; and the seedling management server evaluating a grade for the seedlings based on the first growth score and the second growth score.

[0006] According to an embodiment, the unit area set above may include at least two types of sales units.

[0007] According to an embodiment, the unit area can be flexibly set according to the distribution of the cultivation environment control device and the distribution of the cultivation environment within the space where the seedlings are cultivated.

[0008] According to an embodiment, the distribution of the cultivation environment control device can be determined based on the number of layers in which the seedlings are cultivated in a stacked cultivation facility and the relative positional relationship with the cultivation environment control device.

[0009] According to an embodiment, the distribution of the cultivation environment can be determined based on at least one of the distributions of temperature, humidity, light intensity, and carbon dioxide concentration.

[0010] According to an embodiment, the growth status of each of the seedlings can be determined based on whether each of the seedlings has germinated, the longest length of the leaf, the total area of ​​the leaf, and the color of the leaf.

[0011] According to an embodiment, the step of calculating the first growth score may be based on the degree to which the germination status, maximum leaf length, total leaf area, and leaf color of each of the seedlings correspond to the optimal values ​​for each growth period of the seedlings.

[0012] According to an embodiment, at least some of the factors used to determine the growth state of each of the seedlings and the factors used to determine the growth uniformity of the seedlings may include factors that are different from each other.

[0013] According to an embodiment, the growth uniformity can be determined based on the germination time of each of the seedlings, the longest length of the leaf, the total area of ​​the leaf, and the uniformity of the leaf color.

[0014] According to an embodiment, the growth uniformity may be determined based on the difference between a reference value for a factor for determining the growth uniformity of the seedlings included within the unit area and the individual value of each of the seedlings.

[0015] According to an embodiment, the reference value may be the average value, mode value, or median value of the factor of the seedlings included within the unit area.

[0016] According to an embodiment, the seedling management method may further include the step of the seedling management server controlling the cultivation environment so that the grade of the seedlings is raised based on the grade of the evaluated seedlings.

[0017] According to an embodiment, the seedling management method may further include the step of the seedling management server calculating an estimated price per sales unit of the seedlings based on the grades of the evaluated seedlings.

[0018] A seedling management server according to an embodiment of the present invention may include a unit area extractor that extracts a unit area set based on the sales unit of the seedlings from an image of the seedlings; a first growth score calculator that calculates a first growth score for each of the seedlings based on the growth status of each of the seedlings included within the extracted unit area; a second growth score calculator that calculates a second growth score for the seedlings based on the growth uniformity of the seedlings included within the unit area; and a grade evaluator that evaluates the grade of the seedlings based on the first growth score and the second growth score.

[0019] A seedling management system according to an embodiment of the present invention includes a seedling condition sensing device for sensing the condition of seedlings and a seedling management server for evaluating a grade for said seedlings based on the sensed condition of said seedlings, wherein the seedling management server may include a unit area extractor for extracting a unit area set based on the sales unit of said seedlings from an image of said seedlings, a first growth score calculator for calculating a first growth score for each said seedling based on the growth condition of each said seedling included within the extracted unit area, a second growth score calculator for calculating a second growth score for said seedlings based on the growth uniformity of said seedlings included within the unit area, and a grade evaluator for evaluating a grade for said seedlings based on the first growth score and the second growth score.

[0020] The method and apparatus according to an embodiment of the present invention can evaluate the grade of a seedling more precisely by reflecting together in the grade determination a first growth score for each seedling within a unit area set based on the sales unit of the seedling in an image and a second growth score based on the growth uniformity of the seedlings within the unit area.

[0021] In addition, the method and apparatus according to the embodiment of the present invention can manage the cultivation environment to maximize the grade of the seedlings by controlling the cultivation environment based on the grade of the seedlings.

[0022] A brief description of each drawing is provided to help to better understand the drawings cited in the detailed description of the invention.

[0023] FIG. 1 is a conceptual diagram of a seedling management system according to an embodiment of the present invention.

[0024] FIG. 2 is a block diagram according to one embodiment of the seedling management server shown in FIG. 1.

[0025] FIG. 3 is a diagram illustrating the process of setting and extracting a unit area according to an embodiment of the present invention.

[0026] FIG. 4 is a flowchart of a seedling management method according to an embodiment of the present invention.

[0027] The technical concept of the present invention is subject to various modifications and may have various embodiments, and specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the technical concept of the present invention to specific embodiments, and it should be understood that it includes all modifications, equivalents, and substitutions that fall within the scope of the technical concept of the present invention.

[0028] In describing the technical concept of the present invention, detailed descriptions of related prior art are omitted if it is determined that such descriptions may unnecessarily obscure the essence of the invention. Furthermore, numbers used in the description of this specification (e.g., First, Second, etc.) are merely identification symbols to distinguish one component from another.

[0029] In addition, when a component is described in this specification as being "connected" or "connected" to another component, it should be understood that the component may be directly connected to or directly connected to the other component, but unless otherwise specifically stated, it may also be connected or connected through another component in between.

[0030] In addition, terms such as “~part,” “~device,” “~device,” and “~module” described in this specification refer to a unit that processes at least one function or operation, and may be implemented as hardware or software or a combination of hardware and software such as a processor, microprocessor, microcontroller, CPU (Central Processing Unit), GPU (Graphics Processing Unit), APU (Accelerate Processor Unit), DSP (Drive Signal Processor), ASIC (Application Specific Integrated Circuit), and FPGA (Field Programmable Gate Array), and may also be implemented in a form combined with memory that stores data necessary for processing at least one function or operation.

[0031] Furthermore, it is intended to clarify that the classification of components in this specification is merely based on the primary function each component is responsible for. That is, two or more components described below may be combined into a single component, or a single component may be divided into two or more components based on more subdivided functions. Additionally, each component described below may additionally perform some or all of the functions of other components in addition to the primary function it is responsible for, and it is obvious that some of the primary functions of each component may be exclusively performed by other components.

[0032] FIG. 1 is a conceptual diagram of a seedling management system according to an embodiment of the present invention.

[0033] Referring to FIG. 1, a seedling management system (10) according to an embodiment of the present invention may include a seedling smart farm (100) and a seedling management server (200).

[0034] A seedling smart farm (100) can monitor the condition of seedlings being grown using various sensing devices and control devices, and provide an optimal growth environment according to the condition of the monitored seedlings.

[0035] According to an embodiment, the seedling smart farm (100) can be implemented in an indoor space and can be implemented as a vertical farm where seedlings can be stacked in multiple layers for cultivation.

[0036] According to an embodiment, the seedling smart farm (100) can be implemented inside a sealed space.

[0037] The seedling smart farm (100) may include a seedling condition sensing device (110), a cultivation environment sensing device (120), and a cultivation environment control device (130).

[0038] The seedling condition sensing device (110) may include an image capture device capable of acquiring images of seedlings containing information regarding the condition of seedlings being cultivated in a seedling smart farm (100). According to an embodiment, the image capture device may be implemented in a form that includes a device capable of acquiring infrared images or hyperspectral images in addition to general camera images.

[0039] The cultivation environment sensing device (120) may be composed of devices for sensing various factors regarding the environment in which seedlings are being cultivated within the seedling smart farm (100).

[0040] According to an embodiment, the cultivation environment sensing device (120) may include at least one of a temperature sensor for measuring the temperature in the seedling smart farm (100), a humidity sensor for sensing the humidity in the seedling smart farm (100), a sensor for sensing the oxygen concentration in the seedling smart farm (100), and a sensor for sensing the carbon dioxide concentration in the seedling smart farm (100).

[0041] The cultivation environment control device (130) may be composed of devices for controlling factors regarding the environment in which seedlings are being cultivated within the seedling smart farm (100).

[0042] According to an embodiment, the cultivation environment control device (130) may include at least one of a heating and cooling unit for controlling the temperature within the seedling smart farm (100), a light source for providing artificial light to seedlings within the seedling smart farm (100), an oxygen generator for controlling the oxygen concentration within the seedling smart farm (100), a carbon dioxide generator for controlling the carbon dioxide concentration within the seedling smart farm (100), an indoor ventilation fan, and an outdoor ventilation fan.

[0043] The seedling management server (200) can determine the condition of the seedlings based on images of the seedlings collected by the seedling condition sensing device (100), and evaluate the grade of the seedlings based on the determined condition of the seedlings.

[0044] The detailed structure and operation of the seedling management server (200) will be described later with reference to FIGS. 2 to 4.

[0045] FIG. 2 is a block diagram according to an embodiment of the seedling management server shown in FIG. 1. FIG. 3 is a diagram illustrating the process of setting and extracting unit areas according to an embodiment of the present invention.

[0046] Referring to FIG. 2, the seedling management server (200) may include a communication interface (210), memory (220), a controller (230), and a processor (240).

[0047] The communication interface (210) can interface communication between the seedling management server (200) and the seedling status sensing device (110), communication between the seedling management server (200) and the cultivation environment sensing device (120), and communication between the seedling management server (200) and the cultivation environment control device (130), and can process data or signals transmitted and received during the interfacing process.

[0048] The memory (220) can store data required during the processing of the processor (240) for the performance of the functions of the seedling management server (200), and data generated during the processing of the processor (240) or after the processing is completed.

[0049] According to an embodiment, the memory (220) may store a program including program code for performing a seedling management method according to an embodiment of the present invention, and the memory (220) may be combined with a processor (240) to execute the program.

[0050] Despite the term, memory (220) can be implemented in various means capable of storing data, such as a database.

[0051] The controller (230) can generate a control signal to control the cultivation environment control device (130) of the seedling smart farm (100) according to the judgment result of the processor (240).

[0052] According to an embodiment, the controller (230) may control the seedling status sensing device (110) and the cultivation environment sensing device (120).

[0053] The processor (240) may include a unit area extractor (241), a first growth score calculator (242), a second growth score calculator (243), a grade evaluator (244), and an estimated price calculator (245).

[0054] The unit area extractor (241) receives an image of seedlings collected by the seedling status sensing device (110) and can extract a unit area set based on the sales unit of the seedlings from the received image of the seedlings.

[0055] Referring to FIG. 3, when seedlings are grown during the seedling cultivation process, multiple seedlings (SD) can be grown together in one sales unit (e.g., SU1 to SU8), and a groove can be formed in one sales unit (e.g., SU1 to SU8) for inserting and growing each of the multiple seedlings (SD).

[0056] Figure 3 illustrates, for the convenience of explanation, a case in which 6 seedlings (SD) are cultivated in one sales unit (e.g., SU1~SU8), but the number of seedlings included in one sales unit can be varied.

[0057] According to an embodiment, a sales unit of seedlings may refer to a unit for selling multiple seedlings in a state where cultivation is completed, and according to an embodiment, a physically separated seedling tray unit or seedling tray unit may correspond to a sales unit of seedlings.

[0058] According to an embodiment, when the seedling smart farm (100) is implemented as a vertical farm capable of stacking seedlings in multiple layers for cultivation, images of the seedlings can be acquired layer by layer. For example, an image of seedlings cultivated on the first layer of the seedling smart farm (100) can be acquired as a first image (IMG-LY1), and an image of seedlings cultivated on the second layer can be acquired as a second image (IMG-LY2). In this case, an image capture device for acquiring images of each layer may be separately provided.

[0059] According to an embodiment, an image of seedlings (e.g., IMG-LY1) may include multiple sales units of seedlings (e.g., SU1~SU4).

[0060] The unit area extractor (241) can extract a unit area set based on the sales unit of the seedlings in an image of the seedlings (e.g., IMG-LY1).

[0061] According to an embodiment, the set unit area may include at least two types of sales units. For example, the unit area may be divided and extracted into an area including a first sales unit (SU1) and a third sales unit (SU3) and an area including a second sales unit (SU2) and a fourth sales unit (SU4).

[0062] According to an embodiment, the unit area can be flexibly set according to the distribution of the cultivation environment control device (130) and the distribution of the cultivation environment within the space where seedlings are cultivated (e.g., seedling smart farm (100)).

[0063] According to an embodiment, the distribution of the cultivation environment control device can be determined based on the number of layers in which seedlings are cultivated in a stacked cultivation facility and the relative positional relationship with the cultivation environment control device.

[0064] According to an embodiment, a unit area may include at least two types of sales units. For example, a first sales unit (SU1) and a second sales unit (SU2) may be included together in one unit area.

[0065] According to the embodiment, unit areas may be divided by layer. For example, in a stacked cultivation facility, the seedling sales units (SU1~S4) on the first floor and the seedling sales units (SU5~SU8) on the second floor may be set as different unit areas.

[0066] According to another embodiment, some sales units (e.g., SU1, SU5) existing on different layers may be set as the same unit area.

[0067] According to an embodiment, the unit area may be configured to be divided based on the distance between at least one of a cultivation environment control device (130), such as a heating and cooling unit, an artificial light source, an oxygen generator, a carbon dioxide generator, an indoor fan, and an outdoor fan, and each of the seedling sales units (e.g., SU1 to SU8). For example, a sales unit placed relatively close to the artificial light source (e.g., SU1) and a sales unit placed relatively far from the artificial light source (e.g., SU2) may be included in different unit areas.

[0068] According to an embodiment, the distribution of the cultivation environment may be determined based on at least one of the distributions of temperature, humidity, light intensity, and carbon dioxide concentration. For example, the unit area extractor (241) may group areas having cultivation environments of similar numerical ranges based on the distribution of the cultivation environment, and set and extract sales units corresponding to the grouped areas as the same unit area.

[0069] Returning to FIG. 2, the first growth score calculator (242) can calculate a first growth score for each of the seedlings included in the unit area based on the growth status of each of the seedlings included in the unit area extracted by the unit area extractor (241).

[0070] According to an embodiment, the growth status of each seedling used to calculate the first growth score can be determined based on whether each seedling has germinated, the longest length of the leaf, the total area of ​​the leaf, and the color of the leaf.

[0071] According to an embodiment, the first growth score calculator (242) can calculate the first growth score based on the degree to which the germination status of each seedling, the longest length of the leaf, the total area of ​​the leaf, and the color of the leaf correspond to the optimal values ​​for each growth period of each seedling.

[0072] For example, the first growth score calculator (242) can calculate the first growth score by subtracting points based on the extent to which the maximum length of the actual leaves and the total area of ​​the leaves of each seedling are smaller than the optimal value for each growth period or larger than the optimal value for each growth period.

[0073] For example, the first growth score calculator (242) can calculate the first growth score based on the scores of leaf colors stored in the memory (220) for each growth period of the seedling.

[0074] According to an embodiment, the first growth score calculator (242) can calculate the first growth score by synthesizing the degree to which each of the items—such as whether each seedling has germinated, the longest length of the leaf, the total area of ​​the leaf, and the color of the leaf—matches the optimal value for each growth period.

[0075] According to an embodiment, the first growth score calculator (242) can assign weights to each item of germination status of each seedling, maximum length of the leaf, total leaf area, and leaf color. For example, the weights can be set differently depending on the type of seedling.

[0076] The second growth score calculator (243) can calculate a second growth score for seedlings based on the growth uniformity of seedlings included within a unit area extracted by the unit area extractor (241).

[0077] According to an embodiment, at least some of the factors used by the first growth score calculator (242) to determine the growth status of each seedling and the factors used by the second growth score calculator (243) to determine the growth uniformity of the seedlings may include different factors.

[0078] According to an embodiment, growth uniformity can be determined based on the germination time of each seedling, the maximum length of the leaf, the total area of ​​the leaf, and the uniformity of the leaf color. That is, the factors used to determine the growth uniformity of the seedlings may include at least one of the germination time of each seedling, the maximum length of the leaf, the total area of ​​the leaf, and the leaf color.

[0079] According to an embodiment, the second growth score calculator (243) can assign weights to each of the items of the germination time of each seedling, the longest length of the leaf, the total area of ​​the leaf, and the color of the leaf. For example, the weights can be set differently depending on the type of seedling.

[0080] According to an embodiment, growth uniformity may be determined based on the difference between a reference value for a factor for determining the growth uniformity of seedlings included within a unit area and the individual value of each seedling. According to an embodiment, the reference value may be the average value, mode value, or median value for the factor of the seedlings included within the unit area.

[0081] For example, referring to FIG. 3, if the unit area is set to include the first sales unit (SU1) and the second sales unit (SU2), the reference value may be the average value, the mode value, or the median value of the factor (e.g., the germination time of each seedling, the longest length of the leaf, the total area of ​​the leaf, or the color of the leaf) used to determine the growth uniformity of all seedlings (SD) included in the first sales unit (SU1) and the second sales unit (SU2).

[0082] Returning to Fig. 2, the grade evaluator (244) can evaluate the grade of the seedlings based on the first growth score calculated by the first growth score calculator (242) and the second growth score calculated by the second growth score calculator (243).

[0083] According to an embodiment, the grade evaluator (244) can evaluate the grade for each sales unit included in the unit area.

[0084] According to an embodiment, the grade evaluator (244) can calculate a sum score by adding the sum of the first growth scores for each seedling included in the sales unit for each sales unit included in the unit area and the second growth score for the entire unit area, and evaluate the grade of the seedlings based on the calculated sum score.

[0085] For example, referring to FIG. 3, if the unit area is set as an area that includes both the first sales unit (SU1) and the second sales unit (SU2), the first growth score is calculated for each of the seedlings included in the first sales unit (SU1) and the second sales unit (SU2), and the second growth score can be calculated for the entire unit area that includes both the first sales unit (SU1) and the second sales unit (SU2). At this time, the grade evaluator (244) can evaluate the grade for each of the first sales unit (SU1) and the second sales unit (SU2). For example, the grade of the first sales unit (SU1) can be evaluated based on the sum of the first growth scores for each of the seedlings included in the first sales unit (SU1) and the second growth score calculated for the entire unit area to which the first sales unit (SU1) belongs. For example, the grade of a second sales unit (SU2) can be evaluated based on a sum of the first growth scores for each seedling included in the second sales unit (SU2) and the second growth scores calculated for the entire unit area to which the second sales unit (SU2) belongs.

[0086] Returning to Fig. 2, the estimated price calculator (245) can calculate the estimated price per unit of seedling based on the grade of the seedlings evaluated by the grade evaluator (244).

[0087] According to an embodiment, the estimated price calculator (245) can calculate the estimated price per unit of seedling based on the grade of seedlings evaluated by the grade evaluator (244) and the market price information by grade of seedlings collected from the outside. In this case, the estimated price calculator (245) can correct the evaluated grade by reflecting the difference between the grade classified by the grade evaluator (244) and the grade that formed the basis of the market price information by grade collected from the outside, and calculate the estimated price based on the corrected grade.

[0088] The controller (230) can control the cultivation environment control device (130) so that the grade of the seedlings is raised at the time of shipment of the seedlings based on the grade of the seedlings evaluated by the grade evaluator (244) during the cultivation of the seedlings.

[0089] According to an embodiment, the controller (230) receives information from the grade evaluator (244) regarding factors that have influenced the lowering of the grade of the seedlings (e.g., whether each of the seedlings has germinated, the maximum length of the leaf, the total area of ​​the leaf, and the color of the leaf correspond to the optimal value for each growth period, or the germination time of each of the seedlings, the maximum length of the leaf, the total area of ​​the leaf, and the uniformity of the leaf color), and based on the received information, can control the cultivation environment corresponding to the factors that have influenced the lowering of the grade of the seedlings.

[0090] FIG. 4 is a flowchart of a seedling management method according to an embodiment of the present invention.

[0091] Referring to FIGS. 1 to 4, the seedling management server (200) can extract a unit area set based on the sales unit of the seedlings from an image of the seedlings (S10).

[0092] According to the embodiment, the unit area may include at least two or more sales units of seedlings.

[0093] According to an embodiment, the unit area can be flexibly set according to the distribution of the cultivation environment control device and the distribution of the cultivation environment within the space where seedlings are cultivated.

[0094] The seedling management server (200) can calculate a first growth score for each seedling based on the growth status of each seedling included within the unit area extracted in step S10 (S20).

[0095] According to an embodiment, the first growth score can be calculated based on the degree to which the germination status of each seedling, the longest leaf length, the total leaf area, and the leaf color correspond to the optimal values ​​for each seedling's growth period.

[0096] The seedling management server (200) can calculate a second growth score for the seedlings based on the growth uniformity of the seedlings included within the unit area extracted in step S10 (S30).

[0097] According to an embodiment, the second growth score can be determined based on the germination time of each seedling, the longest length of the leaf, the total area of ​​the leaf, and the uniformity of the leaf color.

[0098] The seedling management server (200) can evaluate the grade of the seedlings based on the first growth score calculated in step S20 and the second growth score calculated in step S30 (S40).

[0099] According to an embodiment, the seedling management server (200) calculates a sum score by adding the sum of the first growth scores for each seedling included in the sales unit for each sales unit included in the unit area and the second growth score for the entire unit area, and evaluates the grade of the seedlings based on the calculated sum score.

[0100] Although the present invention has been described in detail with reference to preferred embodiments, the present invention is not limited to the above embodiments, and various modifications and changes are possible by those skilled in the art within the technical spirit and scope of the present invention.

Claims

1. A seedling management server extracts a unit area set based on the sales unit of the seedling from an image of the seedlings; The seedling management server calculates a first growth score for each of the seedlings based on the growth status of each of the seedlings included within the extracted unit area; The seedling management server calculates a second growth score for the seedlings based on the growth uniformity of the seedlings included within the unit area; and A seedling management method comprising the step of the seedling management server evaluating a grade for the seedlings based on the first growth score and the second growth score.

2. In Paragraph 1, In the unit area set above, A seedling management method comprising at least two or more sales units of seedlings.

3. In Paragraph 2, The above unit area is, A seedling management method that is flexibly set according to the distribution of cultivation environment control devices and the distribution of cultivation environments within the space where the above seedlings are cultivated.

4. In Paragraph 3, The distribution of the above cultivation environment control device is, A seedling management method determined based on the number of layers in which the seedlings are being cultivated in a stacked cultivation facility and the relative positional relationship with the cultivation environment control device.

5. In Paragraph 3, The distribution of the above cultivation environment is, A seedling management method determined based on the distribution of at least one of temperature, humidity, light intensity, and carbon dioxide concentration.

6. In Paragraph 1, The growth status of each of the above seedlings is, A seedling management method determined based on the germination status of each of the above seedlings, the longest length of the leaf, the total area of ​​the leaf, and the color of the leaf.

7. In Paragraph 6, The step of calculating the first growth score above is, A seedling management method for calculating a first growth score based on the degree to which the germination status, maximum leaf length, total leaf area, and leaf color of each of the above seedlings correspond to the optimal values ​​for each of the above seedlings' growth periods.

8. In Paragraph 1, A seedling management method comprising at least some of the factors used to determine the growth state of each of the above seedlings and the factors used to determine the growth uniformity of the above seedlings, wherein the factors are different from each other.

9. In Paragraph 1, The above growth uniformity is, A seedling management method determined based on the germination time, maximum leaf length, total leaf area, and uniformity of leaf color of each of the above seedlings.

10. In Paragraph 1, The above growth uniformity is, A seedling management method determined based on the difference between a reference value for a factor for determining the growth uniformity of the seedlings included within the unit area and the individual value of each of the seedlings.

11. In Paragraph 10, The above standard figures are, A seedling management method, wherein the average value, mode, or median value of the factors of the seedlings included within the unit area.

12. In Paragraph 1, The above seedling management method is, A seedling management method comprising the step of the seedling management server further controlling the cultivation environment to raise the grade of the seedlings based on the grade of the evaluated seedlings.

13. In Paragraph 1, The above seedling management method is, A seedling management method comprising the step of the seedling management server calculating an estimated price per sales unit of the seedlings based on the grades of the evaluated seedlings.

14. A unit area extractor that extracts a unit area set based on the sales unit of a seedling from an image of seedlings; A first growth score calculator that calculates a first growth score for each of the seedlings based on the growth status of each of the seedlings included within the extracted unit area; A second growth score calculator that calculates a second growth score for the seedlings based on the growth uniformity of the seedlings included within the unit area; and A seedling management server comprising a grade evaluator that evaluates the grade of the seedlings based on the first growth score and the second growth score.

15. Seedling condition sensing device for sensing the condition of seedlings; and It includes a seedling management server that evaluates a grade for the seedlings based on the sensed condition of the seedlings, and the seedling management server, A unit area extractor that extracts a unit area set based on the sales unit of the seedling from an image of the above seedlings; A first growth score calculator that calculates a first growth score for each of the seedlings based on the growth status of each of the seedlings included within the extracted unit area; A second growth score calculator that calculates a second growth score for the seedlings based on the growth uniformity of the seedlings included within the unit area; and A seedling management system comprising a grade evaluator that evaluates the grade of the seedlings based on the first growth score and the second growth score.

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