A method for cultivating corn callus proliferation and rapid propagation plant seedlings

Abstract

The present invention discloses a method for cultivating corn callus proliferation and rapid propagation plant seedlings, which relates to the field of plant seedling cultivation methods, including: performing a callus proliferation test on a first sample corn seedling to obtain the area of ​​a characteristic wound; obtaining the area after the characteristic wound is healed, and calculating the healing speed of the characteristic wound, and determining the associated nutrients; forming at least one scheme to be tested; obtaining a target test scheme; forming a dynamic screening mechanism, using the dynamic screening mechanism, screening seedlings, and obtaining target seedlings; cultivating and screening at least one seedling produced by the seeds of the target seedlings, repeating this step to a preset number of times, completing seedling iteration, and obtaining characteristic seedlings. By forming at least one scheme to be tested, obtaining a target test scheme, screening seedlings, and iterating seedlings, the scheme most suitable for corn callus growth can be selected, and continuous iteration according to the scheme can be performed to obtain the required seedlings.

Description

Technical Field

[0001] The invention relates to the field of plant seedling cultivation methods, and in particular to a method for cultivating corn callus multiplication and rapid propagation plant seedlings. Background Art

[0002] In modern agricultural production, seedling cultivation is one of the important links in agricultural production. The quality of seedlings directly affects the yield and quality of crops, so growers need to do a good job in seedling cultivation. As a common crop, the yield of corn is closely related to the economic benefits of the farm. In order to improve the yield and quality of corn crops, it is necessary to formulate a scientific and reasonable seedling cultivation work plan to ensure the quality of crop seedlings and improve crop yield and quality. The yield of corn is affected by its growth rate and its own healing speed. Corn with weak healing ability grows slower.

[0003] However, there are many factors that affect the growth rate of corn. It is difficult to integrate many factors using the usual artificial cultivation method. As a result, the cultivation method is not an excellent solution, resulting in a large room for improvement in the cultivation effect. Summary of the invention

[0004] In order to solve the above technical problems, a method for cultivating corn callus proliferation and rapid propagation plant seedlings is provided. This technical solution solves the problem that there are many factors affecting the growth rate of corn mentioned in the above background technology, and it is difficult to integrate many factors using the usual artificial cultivation method. Therefore, its cultivation method is not a relatively excellent solution, resulting in a large room for improvement in the cultivation effect.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for cultivating corn callus proliferation and rapid propagation plant seedlings, comprising:

[0007] Based on historical data, at least one basic step and at least one basic nutrient in the corn cultivation process are obtained;

[0008] Based on the big data, obtaining at least one external environmental factor in at least one corn cultivation process;

[0009] Obtaining at least one first sample corn seedling, the number of the first sample corn seedlings being consistent with the number of basic nutrients, pairing the first sample corn seedlings with the basic nutrients, and cultivating the first sample corn seedlings using the paired basic nutrients;

[0010] Performing a callus proliferation test on the first sample corn seedlings, during which characteristic wounds of the same size are made on the first sample corn seedlings to obtain the area of ​​the characteristic wounds;

[0011] Performing image recognition on the first sample corn seedlings at preset intervals to obtain the area of ​​the characteristic wound after healing, and calculating the healing speed of the characteristic wound, and determining the associated nutrients based on the healing speed of the characteristic wound;

[0012] Based on the associated nutrients and external environmental factors, at least one solution to be tested is formed;

[0013] Cultivating at least one second sample corn seedling using the test scheme, and performing a callus proliferation test after a preset time, and obtaining a target test scheme based on the test results;

[0014] Cultivate at least one third sample corn seedling using the target test scheme, form a dynamic screening mechanism based on the cultivation situation, and use the dynamic screening mechanism to screen the seedlings to obtain target seedlings;

[0015] At least one seedling produced by the seeds of the target seedling is cultivated and screened, and this step is repeated to a preset number of times to complete the seedling iteration and obtain the characteristic seedling.

[0016] Preferably, the obtaining of at least one basic step and at least one basic nutrient in the corn cultivation process comprises the following steps:

[0017] Based on historical data, comprehensive steps in the corn breeding process are obtained, and the comprehensive steps are decomposed to obtain at least one preparatory step;

[0018] Delete unnecessary preliminary steps to obtain at least one basic step;

[0019] obtaining at least one substance sprayed on corn during the cultivation process of corn;

[0020] Non-essential substances in at least one substance are removed to obtain at least one basic nutrient.

[0021] Preferably, obtaining at least one external environmental factor in at least one corn cultivation process comprises the following steps:

[0022] Summarize the external factors in the corn cultivation process, and obtain the target text of the impact of external factors on corn based on big data retrieval;

[0023] According to the target text, semantic recognition is performed to determine whether the external factors have a promoting effect on corn cultivation. If so, the external factors are regarded as external environmental factors. If not, no treatment is performed.

[0024] Preferably, the step of obtaining the characteristic wound area comprises the following steps:

[0025] Acquire a first complete image of the first sample corn seedling when no characteristic wound occurs, and acquire a first damaged image of the first sample corn seedling when characteristic wound occurs;

[0026] Acquire a region in the first injury image that is different from the first complete image as a characteristic wound region;

[0027] Uniformly select at least one sampling point at the edge of the characteristic wound area, and perform coordinate modeling on the sampling point;

[0028] Fitting at least one sampling point to obtain a first fitting function, wherein the first fitting function corresponds to a curve surrounding an edge of a characteristic wound area;

[0029] The area enclosed by the first fitting function is integrated to obtain the area of ​​the characteristic wound.

[0030] Preferably, the step of obtaining the area of ​​the characteristic wound after healing and calculating the healing speed of the characteristic wound comprises the following steps:

[0031] Acquire a first healing image of a characteristic wound of a first sample corn seedling after the wound is healed;

[0032] Acquire a region in the first healing image that is different from the first complete image as a wound healing region;

[0033] At least one sampling point is uniformly selected at the edge of the wound healing area, and coordinate modeling is performed on the sampling point;

[0034] Fitting at least one sampling point to obtain a second fitting function, wherein the second fitting function corresponds to a curve surrounding an edge of a wound healing area;

[0035] Integrate the area enclosed by the second fitting function to obtain the area after the characteristic wound is healed;

[0036] The area of ​​the characteristic wound is subtracted from the area of ​​the characteristic wound after healing and divided by the preset time to obtain the healing speed of the characteristic wound.

[0037] Preferably, the determination of associated nutrients based on the characteristic wound healing speed comprises the following steps:

[0038] Acquire a first sample corn seedling whose characteristic wound healing speed is greater than a preset value as a first associated sample corn seedling;

[0039] The basic nutrients used by the first associated sample corn seedlings are used as associated nutrients.

[0040] Preferably, forming at least one test scheme according to the associated nutrients and external environmental factors comprises the following steps:

[0041] Obtaining a usage range of associated nutrients, dividing the usage range of associated nutrients at equal intervals, and obtaining at least one identification point;

[0042] Obtaining a parameter value range of an external environmental factor, dividing the parameter value range of the external environmental factor at equal intervals, and obtaining at least one sample point;

[0043] At least one identification point and at least one sample point are randomly combined to form at least one test group;

[0044] Treat basic nutrients that are not related nutrients as common nutrients;

[0045] At least one basic step, at least one common nutrient and a test group are summarized to obtain a scheme to be tested, wherein the amount of the common nutrient is an average value obtained based on historical data.

[0046] Preferably, obtaining a target test solution based on the test results comprises the following steps:

[0047] During the callus proliferation test, a target wound of the same size was made on the second sample corn seedling to obtain the area of ​​the target wound;

[0048] Performing image recognition on the second sample corn seedlings at preset intervals to obtain the area of ​​the target wound after healing, and calculating the healing speed of the target wound;

[0049] The test solution corresponding to the maximum target wound healing speed is selected as the target test solution.

[0050] Preferably, the forming of the dynamic screening mechanism comprises the following steps:

[0051] Acquire an initial image of the third sample corn seedlings before cultivation;

[0052] During the cultivation, a cultivation image of the third sample corn seedlings is obtained at each preset time interval;

[0053] The initial image is divided into at least one initial block, and the initial block where the third sample corn seedling appears is obtained as the target initial block;

[0054] Segment the cultivation image into at least one cultivation block, and obtain the cultivation block where the third sample corn seedling appears as the target cultivation block;

[0055] Accumulating the area of ​​at least one target initial block to obtain a first recognition area;

[0056] Accumulating the area of ​​at least one target cultivation block to obtain a second identification area;

[0057] The second identification area is divided by the first identification area to obtain the growth rate;

[0058] According to the growth rate, the corn seedlings of the third sample are sorted from small to large and numbered;

[0059] The third sample corn seedlings having a number smaller than the preset number will be deleted.

[0060] Preferably, the seedling screening using the dynamic screening mechanism comprises the following steps:

[0061] The third sample corn seedlings are deleted at preset time intervals using a dynamic screening mechanism until the number of the third sample corn seedlings is less than a preset number, and the screened third sample corn seedlings are used as target seedlings.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] By forming at least one scheme to be tested, a target test scheme is obtained, and a dynamic screening mechanism is used to screen seedlings and iterate seedlings. During the entire cultivation process, factors that may affect corn seedlings are considered and corresponding schemes to be tested are generated. All schemes to be tested can approximate all test conditions, and different parameters are set in each scheme to be tested. Therefore, based on the test results, the scheme that is most suitable for corn callus growth can be selected, and then continuous iterations are performed based on the scheme to obtain the required seedlings. The seedlings can meet the requirements of high callus and high proliferation, and have growth capabilities that are superior to those of seedlings cultivated by conventional cultivation methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a schematic diagram of the process of the method for cultivating corn callus multiplication and rapid propagation plant seedlings of the present invention;

[0065] Figure 2 A schematic diagram of a process for obtaining at least one basic step and at least one basic nutrient in a corn cultivation process of the present invention;

[0066] Figure 3 A schematic diagram of a process for obtaining at least one external environmental factor in at least one corn cultivation process according to the present invention;

[0067] Figure 4 It is a schematic diagram of the process of obtaining the area of ​​a characteristic wound according to the present invention;

[0068] Figure 5 A schematic diagram of a process of obtaining the area of ​​a characteristic wound after healing and calculating the healing speed of the characteristic wound according to the present invention;

[0069] Figure 6 This is a schematic diagram of a process for determining associated nutrients based on the healing speed of a characteristic wound according to the present invention;

[0070] Figure 7 A schematic diagram of a process for forming at least one test scheme according to the associated nutrients and external environmental factors of the present invention;

[0071] Figure 8 A schematic diagram of a process for obtaining a target test solution based on test results of the present invention;

[0072] Fig. 9 It is a schematic diagram of the process of forming a dynamic screening mechanism of the present invention. DETAILED DESCRIPTION

[0073] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0074] Reference Figure 1 As shown, a method for cultivating corn callus rapid propagation plant seedlings comprises:

[0075] Based on historical data, at least one basic step and at least one basic nutrient in the corn cultivation process are obtained;

[0076] Based on the big data, obtaining at least one external environmental factor in at least one corn cultivation process;

[0077] Obtaining at least one first sample corn seedling, the number of the first sample corn seedlings being consistent with the number of basic nutrients, pairing the first sample corn seedlings with the basic nutrients, and cultivating the first sample corn seedlings using the paired basic nutrients;

[0078] Performing a callus proliferation test on the first sample corn seedlings, during which characteristic wounds of the same size are made on the first sample corn seedlings to obtain the area of ​​the characteristic wounds;

[0079] Performing image recognition on the first sample corn seedlings at preset intervals to obtain the area of ​​the characteristic wound after healing, and calculating the healing speed of the characteristic wound, and determining the associated nutrients based on the healing speed of the characteristic wound;

[0080] Based on the associated nutrients and external environmental factors, at least one solution to be tested is formed;

[0081] Cultivating at least one second sample corn seedling using the test scheme, and performing a callus proliferation test after a preset time, and obtaining a target test scheme based on the test results;

[0082] Cultivate at least one third sample corn seedling using the target test scheme, form a dynamic screening mechanism based on the cultivation situation, and use the dynamic screening mechanism to screen the seedlings to obtain target seedlings;

[0083] At least one seedling produced by the seeds of the target seedling is cultivated and screened, and this step is repeated to a preset number of times to complete the seedling iteration and obtain the characteristic seedling.

[0084] Reference Figure 2 As shown, obtaining at least one basic step and at least one basic nutrient in the corn cultivation process includes the following steps:

[0085] Based on historical data, comprehensive steps in the corn breeding process are obtained, and the comprehensive steps are decomposed to obtain at least one preparatory step;

[0086] Delete unnecessary preliminary steps to obtain at least one basic step;

[0087] obtaining at least one substance sprayed on corn during the cultivation process of corn;

[0088] Non-essential substances in at least one substance are removed to obtain at least one basic nutrient.

[0089] The basic steps are the basis of cultivation and exist in every cultivation plan. Basic nutrients are nutrients that have an impact on the growth of corn seedlings, but the growth effects provided by basic nutrients are different. Some have weak effects, while others have significant effects on the growth of corn seedlings. Therefore, for basic nutrients whose effects are not obvious, even if their usage ratio is changed, it will not have a significant impact on the growth and callus of corn. Therefore, there is no need to conduct too much testing on this part of the basic nutrients, but it is necessary to conduct dosage tests on the basic nutrients that have a significant impact on the growth of corn seedlings, because the dosage is not the more the better, and the use of multiple basic nutrients will interfere or promote each other. Therefore, it is necessary to test the optimal dosage.

[0090] Reference Figure 3 As shown, obtaining at least one external environmental factor in at least one corn cultivation process includes the following steps:

[0091] Summarize the external factors in the corn cultivation process, and obtain the target text of the impact of external factors on corn based on big data retrieval;

[0092] According to the target text, semantic recognition is performed to determine whether the external factors have a promoting effect on corn cultivation. If so, the external factors are regarded as external environmental factors. If not, no treatment is performed.

[0093] External environmental factors include the sun, temperature, water, soil and other factors. The parameters of each factor will affect the growth of corn. Therefore, these factors need to be identified and extracted, and taken into consideration when setting up the plan. Plans should be generated to approach various situations of these factors. Thus, the plan is tested, and the cultivation effect achieved by the plan with better test results will be higher than the usual cultivation method.

[0094] Reference Figure 4 As shown, obtaining the area of ​​a characteristic wound includes the following steps:

[0095] Acquire a first complete image of the first sample corn seedling when no characteristic wound occurs, and acquire a first damaged image of the first sample corn seedling when characteristic wound occurs;

[0096] Acquire a region in the first injury image that is different from the first complete image as a characteristic wound region;

[0097] Uniformly select at least one sampling point at the edge of the characteristic wound area, and perform coordinate modeling on the sampling point;

[0098] Fitting at least one sampling point to obtain a first fitting function, wherein the first fitting function corresponds to a curve surrounding an edge of a characteristic wound area;

[0099] The area enclosed by the first fitting function is integrated to obtain the area of ​​the characteristic wound.

[0100] The area of ​​the characteristic wound and the area of ​​the characteristic wound after healing are used to evaluate the healing speed of the characteristic wound. The area of ​​the characteristic wound will gradually decrease as it heals. When the difference between the area of ​​the characteristic wound and the area of ​​the characteristic wound after healing within the preset time is larger, it means that the healing speed is faster, otherwise, it means that the healing speed is slower. Therefore, the healing speed of the characteristic wound can be used as a basis for judging the growth and healing of corn.

[0101] Reference Figure 5 As shown, obtaining the area of ​​the characteristic wound after healing and calculating the healing speed of the characteristic wound includes the following steps:

[0102] Acquire a first healing image of a characteristic wound of a first sample corn seedling after the wound is healed;

[0103] Acquire a region in the first healing image that is different from the first complete image as a wound healing region;

[0104] At least one sampling point is uniformly selected at the edge of the wound healing area, and coordinate modeling is performed on the sampling point;

[0105] Fitting at least one sampling point to obtain a second fitting function, wherein the second fitting function corresponds to a curve surrounding an edge of a wound healing area;

[0106] Integrate the area enclosed by the second fitting function to obtain the area after the characteristic wound is healed;

[0107] The area of ​​the characteristic wound is subtracted from the area of ​​the characteristic wound after healing and divided by the preset time to obtain the healing speed of the characteristic wound.

[0108] Reference Figure 6 As shown, based on the healing speed of the characteristic wound, determining the associated nutrients includes the following steps:

[0109] Acquire a first sample corn seedling whose characteristic wound healing speed is greater than a preset value as a first associated sample corn seedling;

[0110] The basic nutrients used by the first associated sample corn seedlings are used as associated nutrients.

[0111] Since each first sample corn seedling is cultivated with only one basic nutrient, the only difference in its growth is the basic nutrient. Therefore, when the healing rate of the characteristic wound is greater than the preset value, it means that the basic nutrient has a more significant effect on corn healing and growth. Therefore, it is necessary to determine its usage so that the best growth effect of corn can be achieved.

[0112] Reference Figure 7 As shown, according to the associated nutrients and external environmental factors, forming at least one test solution includes the following steps:

[0113] Obtaining a usage range of associated nutrients, dividing the usage range of associated nutrients at equal intervals, and obtaining at least one identification point;

[0114] Obtaining a parameter value range of an external environmental factor, dividing the parameter value range of the external environmental factor at equal intervals, and obtaining at least one sample point;

[0115] At least one identification point and at least one sample point are randomly combined to form at least one test group;

[0116] Treat basic nutrients that are not related nutrients as common nutrients;

[0117] At least one basic step, at least one common nutrient and a test group are summarized to obtain a scheme to be tested, wherein the amount of the common nutrient is an average value obtained based on historical data.

[0118] In the tested scheme, when the distance between adjacent identification points and adjacent sample points is small enough, the generated tested scheme can approximate the combination under any numerical conditions of related nutrients and external environmental factors. Therefore, the tested scheme can be approximately considered to include all the test situations. Therefore, the test result of the optimal tested scheme is the required scheme, and its use effect will be stronger than the usual cultivation scheme.

[0119] Reference Figure 8 As shown, based on the test results, obtaining the target test plan includes the following steps:

[0120] During the callus proliferation test, a target wound of the same size was made on the second sample corn seedling to obtain the area of ​​the target wound;

[0121] Performing image recognition on the second sample corn seedlings at preset intervals to obtain the area of ​​the target wound after healing, and calculating the healing speed of the target wound;

[0122] The test solution corresponding to the maximum target wound healing speed is selected as the target test solution.

[0123] Here, the acquisition of the target wound area, the target wound area after healing, and the target wound healing speed are all consistent with the acquisition of the characteristic wound area, the characteristic wound area after healing, and the characteristic wound healing speed. The method for acquiring the target test scheme is still to judge by the healing speed of the corn wound.

[0124] Reference Fig. 9 As shown, forming a dynamic screening mechanism includes the following steps:

[0125] Acquire an initial image of the third sample corn seedlings before cultivation;

[0126] During the cultivation, a cultivation image of the third sample corn seedlings is obtained at each preset time interval;

[0127] The initial image is divided into at least one initial block, and the initial block where the third sample corn seedling appears is obtained as the target initial block;

[0128] Segment the cultivation image into at least one cultivation block, and obtain the cultivation block where the third sample corn seedling appears as the target cultivation block;

[0129] Accumulating the area of ​​at least one target initial block to obtain a first recognition area;

[0130] Accumulating the area of ​​at least one target cultivation block to obtain a second identification area;

[0131] The second identification area is divided by the first identification area to obtain the growth rate;

[0132] According to the growth rate, the corn seedlings of the third sample are sorted from small to large and numbered;

[0133] The third sample corn seedlings having a number smaller than the preset number will be deleted.

[0134] Since the growth of corn is affected by external environmental factors, and its growth is not completely uniform, it may be fast in the early stage and slow in the later stage, or a complex combination of fast and slow. Therefore, it is unreasonable to directly select the fastest growing corn as the target seedlings. Therefore, a dynamic screening mechanism is formed to delete the third sample corn seedlings with the slowest growth rate and retain the remaining third sample corn seedlings. Thereby, fault tolerance can be enhanced, and the third sample corn seedlings with the fastest overall growth rate can be selected. This can avoid missing the third sample corn seedlings with the fastest comprehensive growth rate in the early stage.

[0135] Using the dynamic screening mechanism, seedling screening includes the following steps:

[0136] The third sample corn seedlings are deleted at preset time intervals using a dynamic screening mechanism until the number of the third sample corn seedlings is less than a preset number, and the screened third sample corn seedlings are used as target seedlings.

[0137] Furthermore, the present solution also proposes a storage medium on which a computer-readable program is stored, and when the computer-readable program is called, the above-mentioned method for cultivating corn callus and rapid propagation plant seedlings is executed.

[0138] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0139] In summary, the advantages of the present invention are: by forming at least one scheme to be tested, a target test scheme is obtained, a dynamic screening mechanism is used to screen seedlings, and seedling iteration is performed. During the entire cultivation process, factors that may affect the corn seedlings are considered, and corresponding schemes to be tested are generated. All schemes to be tested can approximate all test conditions, and different parameters are set in each scheme to be tested. Therefore, based on the test results, the scheme that is most suitable for corn callus growth can be selected, and then continuous iterations are performed according to the scheme to obtain the required seedlings. The seedlings can meet the requirements of high callus and high proliferation, and have growth capabilities that are superior to those of seedlings cultivated by conventional cultivation methods.

[0140] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for cultivating corn callus and rapid propagation plant seedlings, characterized in that: include: Based on historical data, at least one basic step and at least one basic nutrient in the corn cultivation process are obtained; Based on the big data, obtaining at least one external environmental factor in at least one corn cultivation process; Obtaining at least one first sample corn seedling, the number of the first sample corn seedlings being consistent with the number of basic nutrients, pairing the first sample corn seedlings with the basic nutrients, and cultivating the first sample corn seedlings using the paired basic nutrients; Performing a callus proliferation test on the first sample corn seedlings, during which characteristic wounds of the same size are made on the first sample corn seedlings to obtain the area of ​​the characteristic wounds; Performing image recognition on the first sample corn seedlings at preset intervals to obtain the area of ​​the characteristic wound after healing, and calculating the healing speed of the characteristic wound, and determining the associated nutrients based on the healing speed of the characteristic wound; Based on the associated nutrients and external environmental factors, at least one solution to be tested is formed; Cultivating at least one second sample corn seedling using the test scheme, and performing a callus proliferation test after a preset time, and obtaining a target test scheme based on the test results; Cultivate at least one third sample corn seedling using the target test scheme, form a dynamic screening mechanism based on the cultivation situation, and use the dynamic screening mechanism to screen the seedlings to obtain target seedlings; Cultivating and screening at least one seedling produced by the seeds of the target seedling, repeating this step to a preset number of times, completing seedling iteration, and obtaining characteristic seedlings; The method of obtaining the area of ​​the characteristic wound comprises the following steps: Acquire a first complete image of the first sample corn seedling when no characteristic wound occurs, and acquire a first damaged image of the first sample corn seedling when characteristic wound occurs; Acquire a region in the first injury image that is different from the first complete image as a characteristic wound region; Uniformly select at least one sampling point at the edge of the characteristic wound area, and perform coordinate modeling on the sampling point; Fitting at least one sampling point to obtain a first fitting function, wherein the first fitting function corresponds to a curve surrounding an edge of a characteristic wound area; Integrate the area enclosed by the first fitting function to obtain the area of ​​the characteristic wound; The method of obtaining the area of ​​the characteristic wound after healing and calculating the healing speed of the characteristic wound comprises the following steps: Acquire a first healing image of a characteristic wound of a first sample corn seedling after the wound is healed; Acquire a region in the first healing image that is different from the first complete image as a wound healing region; At least one sampling point is uniformly selected at the edge of the wound healing area, and coordinate modeling is performed on the sampling point; Fitting at least one sampling point to obtain a second fitting function, wherein the second fitting function corresponds to a curve surrounding an edge of a wound healing area; Integrate the area enclosed by the second fitting function to obtain the area after the characteristic wound is healed; The area of ​​the characteristic wound is subtracted from the area of ​​the characteristic wound after healing and divided by the preset time to obtain the healing speed of the characteristic wound; The forming of the dynamic screening mechanism comprises the following steps: Acquire an initial image of the third sample corn seedlings before cultivation; During the cultivation, a cultivation image of the third sample corn seedlings is obtained at each preset time interval; The initial image is divided into at least one initial block, and the initial block where the third sample corn seedling appears is obtained as the target initial block; Segment the cultivation image into at least one cultivation block, and obtain the cultivation block where the third sample corn seedling appears as the target cultivation block; Accumulating the area of ​​at least one target initial block to obtain a first recognition area; Accumulating the area of ​​at least one target cultivation block to obtain a second identification area; The second identification area is divided by the first identification area to obtain the growth rate; According to the growth rate, the corn seedlings of the third sample are sorted from small to large and numbered; The third sample corn seedlings having a number smaller than the preset number will be deleted.

2. A method for cultivating corn callus rapid propagation plants and seedlings according to claim 1, characterized in that: The method of obtaining at least one basic step and at least one basic nutrient in the corn cultivation process comprises the following steps: Based on historical data, comprehensive steps in the corn breeding process are obtained, and the comprehensive steps are decomposed to obtain at least one preparatory step; Delete unnecessary preliminary steps to obtain at least one basic step; obtaining at least one substance sprayed on corn during the cultivation process of corn; Non-essential substances in at least one substance are removed to obtain at least one basic nutrient.

3. A method for cultivating corn callus rapid propagation plants and seedlings according to claim 2, characterized in that: The obtaining of at least one external environmental factor during at least one corn cultivation process comprises the following steps: Summarize the external factors in the corn cultivation process, and obtain the target text of the impact of external factors on corn based on big data retrieval; According to the target text, semantic recognition is performed to determine whether the external factors have a promoting effect on corn cultivation. If so, the external factors are regarded as external environmental factors. If not, no treatment is performed.

4. A method for cultivating corn callus rapid propagation plant seedlings according to claim 3, characterized in that: The determination of associated nutrients based on the healing speed of the characteristic wound comprises the following steps: Acquire a first sample corn seedling whose characteristic wound healing speed is greater than a preset value as a first associated sample corn seedling; The basic nutrients used by the first associated sample corn seedlings are used as associated nutrients.

5. A method for cultivating corn callus rapid propagation plant seedlings according to claim 4, characterized in that: The forming of at least one test scheme according to the associated nutrients and external environmental factors comprises the following steps: Obtaining a usage range of associated nutrients, dividing the usage range of associated nutrients at equal intervals, and obtaining at least one identification point; Obtaining a parameter value range of an external environmental factor, dividing the parameter value range of the external environmental factor at equal intervals, and obtaining at least one sample point; At least one identification point and at least one sample point are randomly combined to form at least one test group; Treat basic nutrients that are not related nutrients as common nutrients; At least one basic step, at least one common nutrient and a test group are summarized to obtain a scheme to be tested, wherein the amount of the common nutrient is an average value obtained based on historical data.

6. A method for cultivating corn callus rapid propagation plant seedlings according to claim 5, characterized in that: The method of obtaining a target test solution based on the test results comprises the following steps: During the callus proliferation test, a target wound of the same size was made on the second sample corn seedling to obtain the area of ​​the target wound; Performing image recognition on the second sample corn seedlings at preset intervals to obtain the area of ​​the target wound after healing, and calculating the healing speed of the target wound; The test solution corresponding to the maximum target wound healing speed is selected as the target test solution.

7. A method for cultivating corn callus rapid propagation plant seedlings according to claim 6, characterized in that: The seedling screening using the dynamic screening mechanism comprises the following steps: The third sample corn seedlings are deleted at preset time intervals using a dynamic screening mechanism until the number of the third sample corn seedlings is less than a preset number, and the screened third sample corn seedlings are used as target seedlings.

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