Corn seed vitality quantitative detection method, device, equipment and storage medium

Abstract

The present invention relates to the technical field of seed vigor detection, and discloses a method, device, equipment and storage medium for quantitative detection of corn seed vitality. By dividing the vitality level of each corn seed sample to be detected, considering the different time consumption of soaking the corn seed samples under different constant temperature environments and the different influences of the vitality detection structure on the corn seed samples to be detected when soaking the seeds under the same higher constant temperature, the corn seed samples to be detected are assigned to incubators that meet the overall detection time limit requirements, and finally, after completing the constant temperature cultivation soaking, TTC staining, image acquisition and quantitative detection of vitality of each corn seed, the actual vitality quantification value of each corn seed sample to be detected is calculated based on the weighted sum. Thus, the contradiction between detection speed and detection accuracy is balanced, and the processing speed and efficiency of the seed vitality detection mechanism facing a large amount of seed vitality detection tasks are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of seed vitality detection, and in particular to a method, device, equipment and storage medium for quantitatively detecting the vitality of corn seeds. Background Art

[0002] Seed quality includes purity, germination rate, vitality, moisture, etc. Among them, seed vitality is one of the most important indicators of seed quality. It is closely related to field emergence and is the basis of final yield and quality. At present, the detection methods of seed vitality include standard germination test, conductivity measurement, 2,3,5-triphenyltetrazoliumchloride (TTC) staining test, etc. Among them, TTC staining is a method for rapid detection of seed vitality, which has the advantages of convenience, rapidity and sensitivity. The International Seed Testing Association (ISTA) and China's crop inspection procedures recommend that TTC staining be listed as one of the methods for determining seed vitality. Generally speaking, the higher the seed vitality, the higher its vitality. TTC staining has become an important basis for judging seed vitality due to its advantages of rapidity, convenience and sensitivity.

[0003] However, in actual applications, seed vitality testing institutions still have many problems when using TTC staining technology to test seed vitality. First, the processes of seed collection, storage, and use all involve seed vitality testing, and have obvious seasonality, that is, seed vitality testing institutions often have a large amount of seed vitality testing tasks in a certain period of time, but in the process of seed vitality testing, soaking seeds is an indispensable step, which usually takes 10-15 hours. Compared with other seeds such as rice, corn seeds have thicker and harder seed coats, more nutrients stored inside, and water is not easy to penetrate and absorb. The soaking time can even reach more than 15 hours. Such characteristics of corn seeds make it impossible for seed vitality testing institutions to significantly improve the detection speed when they have a large amount of seed vitality testing tasks. Second, although the speed of water molecules penetrating into the seeds can be accelerated by increasing the soaking environment temperature, thereby shortening the soaking time in the seed vitality testing process, the increase in the soaking environment temperature will cause damage to the seeds to a certain extent, affecting the accuracy of seed vitality testing. Therefore, there is a contradiction between detection speed and detection accuracy.

[0004] Therefore, how to improve the processing speed and efficiency of seed viability testing agencies when faced with a large amount of seed viability testing tasks and balance the contradiction between testing speed and testing accuracy is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The main purpose of the present invention is to provide a method, device, equipment and storage medium for quantitatively detecting the vitality of corn seeds to solve the above-mentioned technical problems.

[0006] To achieve the above object, the present invention provides a method for quantitatively detecting the vitality of corn seeds, comprising the following steps:

[0007] Obtaining a corn seed vitality detection task in a target monitoring period, and extracting detection association information of a number of corn seed samples to be detected in the corn seed vitality detection task; wherein the detection association information includes the detection storage location of each corn seed sample to be detected and the corn seed category and storage information;

[0008] Based on the detection storage location of each corn seed sample to be detected and the corn seed category and storage information, a number of incubator first seed soaking and incubation tasks and incubator second seed soaking and incubation tasks are generated;

[0009] Driving the testing personnel to perform the seed soaking and cultivation of each corn seed sample to be tested according to the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator;

[0010] Perform TTC staining, image acquisition and vitality quantitative detection on each corn seed sample to be tested after soaking and culturing, and obtain the vitality quantitative value of each corn seed sample to be tested;

[0011] The actual vitality quantified value of each corn seed sample to be tested is calculated based on the vitality quantified value weight corresponding to the first seed soaking and culture task in the incubator or the second seed soaking and culture task in the incubator for each corn seed sample to be tested and the vitality quantified value of each corn seed sample to be tested.

[0012] Optionally, based on the detection storage location of each corn seed sample to be detected and the corn seed category and storage information, a number of incubator first seed soaking and incubation tasks and incubator second seed soaking and incubation tasks are generated, specifically including:

[0013] Based on the corn seed category and storage information, a plurality of corn seed samples to be tested are classified into vitality grades to obtain a plurality of groups of corn seed samples to be tested with different vitality grades;

[0014] Acquire constant temperature environment resources of a plurality of incubators; wherein each incubator is configured to have a first environment with a first constant temperature and a second environment with a second constant temperature, and the constant temperature environment resources include a maximum number of corn seeds to be cultivated when each incubator performs a single constant temperature cultivation; wherein the first constant temperature is configured to be higher than the second constant temperature;

[0015] According to the vitality level of each group of corn seed samples to be tested and the maximum number of corn seeds to be cultured when each incubator performs a single constant temperature culture, the ratio of the number of corn seed samples to be tested that are cultured in the first environment and the number of corn seed samples to be tested that are cultured in the second environment in each group of corn seed samples to be tested with vitality level is calculated;

[0016] Based on the ratio of the number of corn seed samples to be tested that are cultured in the first environment constant temperature and cultured in the second environment constant temperature in each group of corn seed samples of vitality level, several incubator first seed soaking and culture tasks and several incubator second seed soaking and culture tasks are generated.

[0017] Optionally, the step of solving the ratio of the number of corn seed samples to be tested that are cultured in the first constant temperature environment and cultured in the second constant temperature environment in each group of corn seed samples to be tested of each vitality level specifically includes:

[0018] The first constraint condition is that the completion time of constant temperature cultivation of several groups of corn seed samples to be tested in an incubator is shorter than the target detection cycle; the second constraint condition is that the ratio of the environmental allocation of corn seeds to be tested of the corn seed samples to be tested at each vitality level is lower than the target difference ratio of the environmental allocation of corn seeds to be tested of the corn seed samples to be tested at a higher vitality level; the goal is to maximize the ratio of all corn seed samples to be tested in the corn seed vitality detection task that are cultured at the second environment at the constant temperature;

[0019] Taking the environmental distribution ratio of corn seeds to be tested of corn seed samples to be tested with the lowest vitality level as the preset initial ratio as the basis, the environmental distribution ratio of corn seeds to be tested of each group of corn seed samples to be tested with vitality level is solved; wherein, the environmental distribution ratio of corn seeds to be tested is configured as the ratio of the number of corn seed samples to be tested that execute the first environment constant temperature cultivation and the second environment constant temperature cultivation.

[0020] Optionally, based on the ratio of the number of corn seed samples to be tested that are cultured in the first environment and the second environment in each group of corn seed samples of vitality level, a plurality of incubator first seed soaking and culture tasks and a plurality of incubator second seed soaking and culture tasks are generated, specifically including:

[0021] Extracting and marking all first-category corn seed samples to be tested that are cultured in a first environment at a constant temperature and all second-category corn seed samples to be tested that are cultured in a second environment at a constant temperature from among several groups of corn seed samples to be tested of vitality levels;

[0022] Allocating the first type of corn seed samples to be tested and the second type of corn seed samples to be tested to corresponding incubators;

[0023] Based on the incubator and the detection storage position of each corn seed sample to be detected in the first type of corn seed samples to be detected, generating a plurality of incubator first seed soaking and cultivation tasks;

[0024] Based on the incubator and the detection and storage position of each corn seed sample to be detected in the second type of corn seed samples to be detected, a plurality of incubator second seed soaking and cultivation tasks are generated.

[0025] Optionally, driving the testing personnel to perform the seed soaking and culturing steps for each corn seed sample to be tested according to the first seed soaking and culturing task of the incubator and the second seed soaking and culturing task of the incubator, specifically includes:

[0026] Send the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator to the inspector;

[0027] Drive the testing personnel to the corresponding testing storage positions to respectively extract the corn seed samples to be tested for executing the first seed soaking and cultivation task in the incubator and the second seed soaking and cultivation task in the incubator, and respectively execute the seed soaking and cultivation of the first seed soaking and cultivation task in the incubator and the second seed soaking and cultivation task in the incubator.

[0028] Optionally, the steps of performing TTC staining, image acquisition and vitality quantitative detection on each corn seed sample to be tested after soaking and culturing to obtain a vitality quantification value of each corn seed sample to be tested specifically include:

[0029] After soaking and culturing, each corn seed sample to be tested was dried with filter paper, stained with 1% TTC staining solution at 30°C in the dark for 6 hours, washed 2-3 times with PBS, and then cut the seeds longitudinally along the embryo with a scalpel or a scalpel, and a piece containing a complete embryo and endosperm was selected for image acquisition;

[0030] The conversion relationship table between corn seed vitality value and CIELAB color value is constructed by performing TTC staining, image acquisition and CIELAB color value detection on corn seeds with different vitality values ​​in advance;

[0031] The CIELAB color value of the collected image is identified by using image analysis software, and the vitality quantification value of each corn seed sample to be detected is obtained according to the CIELAB color value and the conversion relationship table.

[0032] Optionally, the step of calculating the actual life force quantification value of each corn seed sample to be tested according to the life force quantification value weight corresponding to each corn seed sample to be tested performing the first seed soaking and cultivation task in the incubator or the second seed soaking and cultivation task in the incubator and the life force quantification value of each corn seed sample to be tested, specifically includes:

[0033] The preset life force quantification value weight of each corn seed sample to be tested and the weight of the life force quantification value of each corn seed sample to be tested are added together as the actual life force quantification value of each corn seed sample to be tested;

[0034] Among them, the preset vitality quantification value weight of each corn seed sample to be tested obtained by executing the first seed soaking and cultivation task in the incubator is lower than the preset vitality quantification value weight of each corn seed sample to be tested obtained by executing the second seed soaking and cultivation task in the incubator.

[0035] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a device for quantitatively detecting the vitality of corn seeds, comprising:

[0036] An acquisition module is used to acquire a corn seed vitality detection task in a target monitoring period, and extract detection association information of a plurality of corn seed samples to be detected in the corn seed vitality detection task; wherein the detection association information includes a detection storage location of each corn seed sample to be detected and corn seed category and storage information;

[0037] A generation module, for generating a plurality of incubator first seed soaking and cultivation tasks and incubator second seed soaking and cultivation tasks based on the detection storage location of each corn seed sample to be detected and the corn seed category and storage information;

[0038] An execution module is used to drive the inspection personnel to perform the seed soaking and cultivation of each corn seed sample to be inspected according to the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator;

[0039] A detection module is used to perform TTC staining, image acquisition and vitality quantitative detection on each corn seed sample to be detected after soaking and culturing, so as to obtain a vitality quantification value of each corn seed sample to be detected;

[0040] A calculation module is used to calculate the actual life force quantification value of each corn seed sample to be tested based on the life force quantification value weight corresponding to each corn seed sample to be tested performing the first seed soaking and cultivation task in the incubator or the second seed soaking and cultivation task in the incubator and the life force quantification value of each corn seed sample to be tested.

[0041] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a corn seed vitality quantitative detection device, which includes: a memory, a processor, and a corn seed vitality quantitative detection program stored in the memory and executable on the processor, and when the corn seed vitality quantitative detection program is executed by the processor, the steps of the corn seed vitality quantitative detection method as described above are implemented.

[0042] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a storage medium, on which a corn seed vitality quantitative detection program is stored. When the corn seed vitality quantitative detection program is executed by a processor, the steps of the above-mentioned corn seed vitality quantitative detection method are implemented.

[0043] The beneficial effects of the present invention are as follows: a method, device, equipment and storage medium for quantitative detection of corn seed vitality are proposed, by extracting the detection storage positions and corn seed categories and storage information of several corn seed samples to be detected in the corn seed vitality detection task, using the corn seed categories and storage information to classify the vitality level of each corn seed sample to be detected, and then obtaining the constant temperature environmental resources of the incubator, based on the vitality level of each group of corn seed samples to be detected and the maximum number of corn seeds to be cultured when each incubator performs a single constant temperature culture, considering that the soaking time of the corn seed samples to be detected in a first environment with a higher constant temperature is shorter than that in a second environment with a lower constant temperature, and the corn seed samples with a higher vitality level have a lower soaking time than those in a second environment with a lower constant temperature. The impact of a higher constant temperature soaking on the vitality test results of the corn seed samples to be tested is smaller than that of a lower vitality grade corn seed samples to be tested. The corn seed samples to be tested of several vitality grade groups are assigned to incubators for the first environment constant temperature culture and the second environment constant temperature culture that meet the overall test time limit requirements, generating several incubator first soaking and cultivation tasks and several incubator second soaking and cultivation tasks. After the test personnel are driven to perform soaking, TTC staining, image acquisition and vitality quantitative testing in sequence, the obtained vitality quantification value of each corn seed and the corresponding vitality quantification value weight are weighted and calculated to obtain the actual vitality quantification value of each corn seed sample to be tested. In this way, the contradiction between detection speed and detection accuracy is balanced, and the processing speed and efficiency of seed vitality testing institutions facing a large amount of seed vitality testing tasks are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0045] Figure 1 The figure is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0046] Figure 2 The figure is a schematic diagram of a process of an embodiment of a method for quantitatively detecting corn seed vitality of the present invention.

[0047] Figure 3The present invention is a structural block diagram of a device for quantitatively detecting the vitality of corn seeds in an embodiment of the present invention.

[0048] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] like Figure 1 As shown, Figure 1 It is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0051] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0052] Those skilled in the art will understand that Figure 1 The structure of the device shown in the figure does not constitute a limitation of the device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0053] like Figure 1 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a corn seed vitality quantitative detection program.

[0054] exist Figure 1In the terminal shown, the network interface 1004 is mainly used to connect to the backend server and perform data communication with the backend server; the user interface 1003 is mainly used to connect to the client (user end) and perform data communication with the client; and the processor 1001 can be used to call the corn seed vitality quantitative detection program stored in the memory 1005 and perform the following operations:

[0055] Obtaining a corn seed vitality detection task in a target monitoring period, and extracting detection association information of a number of corn seed samples to be detected in the corn seed vitality detection task; wherein the detection association information includes the detection storage location of each corn seed sample to be detected and the corn seed category and storage information;

[0056] Based on the detection storage location of each corn seed sample to be detected and the corn seed category and storage information, a number of incubator first seed soaking and incubation tasks and incubator second seed soaking and incubation tasks are generated;

[0057] Driving the testing personnel to perform the seed soaking and cultivation of each corn seed sample to be tested according to the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator;

[0058] Perform TTC staining, image acquisition and vitality quantitative detection on each corn seed sample to be tested after soaking and culturing, and obtain the vitality quantitative value of each corn seed sample to be tested;

[0059] The actual vitality quantified value of each corn seed sample to be tested is calculated based on the vitality quantified value weight corresponding to the first seed soaking and culture task in the incubator or the second seed soaking and culture task in the incubator for each corn seed sample to be tested and the vitality quantified value of each corn seed sample to be tested.

[0060] The specific embodiments of the present invention applied to the device are basically the same as the embodiments of the following application of the method for quantitatively detecting the vitality of corn seeds, and will not be described in detail here.

[0061] The embodiment of the present invention provides a method for quantitatively detecting the vitality of corn seeds. Figure 2 , Figure 2 The figure is a schematic diagram of a process of an embodiment of a method for quantitatively detecting corn seed vitality of the present invention.

[0062] In this embodiment, the method for quantitatively detecting the viability of corn seeds comprises the following steps:

[0063] S100: Obtaining a corn seed vitality detection task in a target monitoring period, and extracting detection association information of a plurality of corn seed samples to be detected in the corn seed vitality detection task; wherein the detection association information includes a detection storage location of each corn seed sample to be detected and corn seed category and storage information;

[0064] S200: Based on the detection storage location of each corn seed sample to be detected and the corn seed category and storage information, a plurality of incubator first seed soaking and incubation tasks and incubator second seed soaking and incubation tasks are generated;

[0065] S300: driving the testing personnel to perform seed soaking and cultivation of each corn seed sample to be tested according to the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator;

[0066] S400: performing TTC staining, image acquisition and vitality quantitative detection on each corn seed sample to be detected after soaking and culturing, and obtaining a vitality quantification value of each corn seed sample to be detected;

[0067] S500: Calculate the actual vitality quantified value of each corn seed sample to be tested according to the vitality quantified value weight corresponding to each corn seed sample to be tested performing the first seed soaking and cultivation task in the incubator or the second seed soaking and cultivation task in the incubator and the vitality quantified value of each corn seed sample to be tested.

[0068] It should be noted that, in actual applications, seed vitality testing institutions still have many problems when using TTC staining technology to test seed vitality. First, the processes of seed collection, storage, and use all involve seed vitality testing, and have obvious seasonality, that is, seed vitality testing institutions often have a large amount of seed vitality testing tasks in a certain period of time, but in the process of seed vitality testing, soaking seeds is an indispensable step, which usually takes 10-15 hours. Compared with other seeds such as rice, corn seeds have thicker and harder seed coats, more nutrients stored inside, and water is not easy to penetrate and absorb. The soaking time can even reach more than 15 hours. Such characteristics of corn seeds make it impossible for seed vitality testing institutions to significantly improve the detection speed when they have a large amount of seed vitality testing tasks. Second, although the speed of water molecules penetrating into the seeds can be accelerated by increasing the soaking environment temperature, thereby shortening the soaking time in the seed vitality testing process, the increase in the soaking environment temperature will cause damage to the seeds to a certain extent, affecting the accuracy of seed vitality testing. Therefore, there is a contradiction between detection speed and detection accuracy.

[0069] In order to solve the above problems, this embodiment divides the vitality level of each corn seed sample to be tested, considers that the time consumption of corn seed samples to be tested is different under different constant temperature environments, and corn seed samples with different vitality are affected differently by the vitality detection structure when soaking at the same higher constant temperature, allocates the corn seed samples to be tested to the incubator that meets the overall detection time limit requirements, and finally calculates the actual vitality quantification value of each corn seed sample to be tested based on the weighted sum after completing the constant temperature incubation soaking, TTC staining, image acquisition and quantitative vitality detection of each corn seed. In this way, the contradiction between detection speed and detection accuracy is balanced, and the processing speed and efficiency of the seed vitality detection mechanism facing a large amount of seed vitality detection tasks are improved.

[0070] In a preferred embodiment, based on the detection storage location of each corn seed sample to be detected and the corn seed category and storage information, a number of incubator first seed soaking and incubation tasks and incubator second seed soaking and incubation tasks are generated, specifically including:

[0071] S210: Based on the corn seed category and storage information, a plurality of corn seed samples to be tested are classified into vitality grades to obtain a plurality of groups of corn seed samples to be tested with different vitality grades;

[0072] S220: Acquire constant temperature environment resources of a plurality of incubators; wherein each incubator is configured to have a first environment with a first constant temperature and a second environment with a second constant temperature, and the constant temperature environment resources include a maximum number of corn seeds to be cultured when each incubator performs a single constant temperature culture; wherein the first constant temperature is configured to be higher than the second constant temperature;

[0073] S230: according to the vitality level of each group of corn seed samples to be tested and the maximum number of corn seeds to be cultured when each incubator performs a single constant temperature culture, solving the ratio of the number of corn seed samples to be tested that are cultured in the first environment and cultured in the second environment in each group of corn seed samples to be tested with vitality levels;

[0074] S240: Based on the ratio of the number of corn seed samples to be tested that are cultured in the first environment constant temperature and cultured in the second environment constant temperature in each group of corn seed samples of vitality level, generate a plurality of incubator first seed soaking and culture tasks and a plurality of incubator second seed soaking and culture tasks.

[0075] Furthermore, the step of solving the ratio of the number of corn seed samples to be tested that are cultured in the first environment and the second environment in each group of corn seed samples to be tested of each vitality level specifically includes:

[0076] S231: The first constraint condition is that the completion time of constant temperature cultivation of several groups of corn seed samples to be tested in an incubator is shorter than the target detection cycle; the second constraint condition is that the ratio of ...

[0077] S232: Taking the environmental distribution ratio of corn seeds to be tested of the corn seed samples to be tested with the lowest vitality level as the preset initial ratio as the basis, the environmental distribution ratio of corn seeds to be tested of each group of corn seed samples to be tested with vitality level is solved; wherein, the environmental distribution ratio of corn seeds to be tested is configured as the ratio of the number of corn seed samples to be tested that execute the first environment constant temperature culture and the second environment constant temperature culture.

[0078] Furthermore, based on the ratio of the number of corn seed samples to be tested that are cultured in the first environment and the second environment in each group of corn seed samples of vitality level, a plurality of incubator first seed soaking and culture tasks and a plurality of incubator second seed soaking and culture tasks are generated, specifically including:

[0079] S241: extracting and marking all first-category corn seed samples to be tested that are cultured in a first environment at a constant temperature and all second-category corn seed samples to be tested that are cultured in a second environment at a constant temperature from among the plurality of groups of corn seed samples to be tested of vitality levels;

[0080] S242: Allocating the first type of corn seed samples to be tested and the second type of corn seed samples to be tested to corresponding incubators;

[0081] S243: generating a plurality of first seed soaking and cultivation tasks for the incubators based on the incubators and the detection and storage locations of each of the corn seed samples to be detected in the first category of corn seed samples to be detected;

[0082] S244: Based on the incubator and the detection storage position of each corn seed sample to be detected in the second category of corn seed samples to be detected, generate a plurality of second seed soaking and cultivation tasks for the incubator.

[0083] In this embodiment, considering that corn seeds with high vitality usually have relatively sound cell structures and physiological functions, and to a certain extent, can have a certain resistance to adverse environmental conditions, when performing corn seed vitality detection, some cells of seeds with high vitality may be damaged at high temperatures, but many cells can still maintain a certain activity and continue to participate in the reduction reaction of TTC, so that the embryo presents a certain degree of staining. Although the degree of staining may be weakened, compared with low-vitality seeds, its change is relatively small, and the deviation of the test results is also relatively small.

[0084] Therefore, this embodiment extracts the detection and storage locations and corn seed categories and storage information of several corn seed samples to be detected in the corn seed vitality detection task, uses the corn seed categories and storage information to classify the vitality level of each corn seed sample to be detected, and then obtains the constant temperature environment resources of the incubator, based on the vitality level of each group of corn seed samples to be detected and the maximum number of corn seeds to be cultured when each incubator performs a single constant temperature culture, considering that the soaking time of the corn seed samples to be detected in a first environment with a higher constant temperature is shorter than that in a second environment with a lower constant temperature, and that the corn seed samples to be detected with a higher vitality level have less impact on the vitality detection results when soaked at a higher constant temperature than the corn seed samples to be detected with a lower vitality level, the corn seed samples to be detected in several vitality level groups are allocated to incubators for first environment constant temperature culture and second environment constant temperature culture that meet the overall detection time limit requirements, and generate several incubator first soaking culture tasks and several incubator second soaking culture tasks.

[0085] Therefore, by controlling the proportion of each corn seed sample to be tested participating in the first environment soaking (i.e., a higher constant temperature environment with a shorter soaking time) and the second environment soaking (i.e., a lower constant temperature environment with a longer soaking time, but less impact on the vitality test result) according to its vitality level, a higher proportion of the corn seed sample to be tested with a higher vitality level is allocated to the incubator with the first environment for soaking and constant temperature culture, and a higher proportion of the corn seed sample to be tested with a lower vitality level is allocated to the incubator with the second environment for soaking and constant temperature culture. At the same time, considering the maximum number of corn seeds to be cultured for one soaking in each incubator and the time spent on soaking corn seeds under different constant temperature cultures obtained in advance through testing, task generation is carried out under the condition of meeting the overall detection time limit requirement. This can maximize the detection speed while still maintaining good detection accuracy, thus balancing the contradiction between detection speed and detection accuracy.

[0086] In a preferred embodiment, the detection personnel are driven to perform the seed soaking and culturing steps for each corn seed sample to be detected according to the first seed soaking and culturing task of the incubator and the second seed soaking and culturing task of the incubator, which specifically includes:

[0087] S310: sending the first seed soaking and cultivating task of the incubator and the second seed soaking and cultivating task of the incubator to the inspector;

[0088] S320: Drive the inspection personnel to the corresponding inspection storage position to respectively extract the corn seed samples to be inspected for executing the first seed soaking and cultivation task in the incubator and the second seed soaking and cultivation task in the incubator, and respectively execute the seed soaking and cultivation of the first seed soaking and cultivation task in the incubator and the second seed soaking and cultivation task in the incubator.

[0089] On this basis, each corn seed sample to be tested after soaking and culturing is subjected to TTC staining, image acquisition and vitality quantitative detection to obtain the vitality quantification value of each corn seed sample to be tested, specifically including:

[0090] S410: After soaking and culturing, each corn seed sample to be tested is dried with filter paper on the surface, stained with 1% TTC staining solution at 30°C in the dark for 6 hours, washed with PBS 2-3 times, and then cut the seeds longitudinally along the embryo with a scalpel or a scalpel, and a piece containing a complete embryo and endosperm is selected for image acquisition;

[0091] S420: Constructing a conversion relationship table between corn seed vitality values ​​and CIELAB color values ​​by pre-staining corn seeds with different vitality values ​​with TTC staining, image acquisition, and CIELAB color value detection;

[0092] S430: Using image analysis software to identify the CIELAB color value of the collected image, and detecting and obtaining the vitality quantification value of each corn seed sample to be detected based on the CIELAB color value and the conversion relationship table.

[0093] In a preferred embodiment, the step of calculating the actual life force quantification value of each corn seed sample to be tested according to the life force quantification value weight corresponding to each corn seed sample to be tested performing the first seed soaking and cultivation task in the incubator or the second seed soaking and cultivation task in the incubator and the life force quantification value of each corn seed sample to be tested specifically includes:

[0094] S510: Accumulate the preset vitality quantification value weight and vitality quantification value weight of each corn seed sample to be tested in each corn seed sample to be tested as the actual vitality quantification value of each corn seed sample to be tested;

[0095] Among them, the preset vitality quantification value weight of each corn seed sample to be tested obtained by executing the first seed soaking and cultivation task in the incubator is lower than the preset vitality quantification value weight of each corn seed sample to be tested obtained by executing the second seed soaking and cultivation task in the incubator.

[0096] In this embodiment, after generating a number of first seed soaking and cultivation tasks for several incubators and a number of second seed soaking and cultivation tasks for several incubators, based on the first seed soaking and cultivation tasks and the number of second seed soaking and cultivation tasks for several incubators, the detection personnel are driven to sequentially perform seed soaking, TTC staining, image acquisition and vitality quantitative detection, and then the obtained vitality quantification value of each corn seed is weighted and calculated with the corresponding vitality quantification value weights, so as to obtain the actual vitality quantification value of each corn seed sample to be detected. Thus, by means of weighting and calculation, a higher weight is given to the vitality quantification value obtained by detection under a lower constant temperature environment, and a lower weight is given to the vitality quantification value obtained by detection under a higher constant temperature environment, which can eliminate the influence of the high temperature environment on the vitality detection value of a part of corn seeds to a certain extent, and improve the processing speed and efficiency of the seed vitality detection mechanism when facing a large amount of seed vitality detection tasks.

[0097] Reference Figure 3 , Figure 3 It is a structural block diagram of an embodiment of a device for quantitatively detecting corn seed vitality of the present invention.

[0098] like Figure 3 As shown, the device for quantitatively detecting the vitality of corn seeds proposed in the embodiment of the present invention comprises:

[0099] The acquisition module 10 is used to acquire the corn seed vitality detection task of the target monitoring period, and extract the detection association information of a plurality of corn seed samples to be detected in the corn seed vitality detection task; wherein the detection association information includes the detection storage location of each corn seed sample to be detected and the corn seed category and storage information;

[0100] A generating module 20, for generating a plurality of incubator first seed soaking and incubation tasks and incubator second seed soaking and incubation tasks based on the detection storage location of each corn seed sample to be detected and the corn seed category and storage information;

[0101] An execution module 30 is used to drive the detection personnel to perform the seed soaking and cultivation of each corn seed sample to be detected according to the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator;

[0102] The detection module 40 is used to perform TTC staining, image acquisition and vitality quantitative detection on each corn seed sample to be detected after soaking and culturing, so as to obtain the vitality quantification value of each corn seed sample to be detected;

[0103] The calculation module 50 is used to calculate the actual vitality quantification value of each corn seed sample to be tested based on the vitality quantification value weight corresponding to each corn seed sample to be tested performing the first seed soaking and cultivation task in the incubator or the second seed soaking and cultivation task in the incubator and the vitality quantification value of each corn seed sample to be tested.

[0104] Other embodiments or specific implementations of the device for quantitatively detecting corn seed vitality of the present invention can refer to the above-mentioned method embodiments and will not be described in detail here.

[0105] In addition, the present invention also proposes a quantitative detection device for corn seed vitality, which includes: a memory, a processor, and a corn seed vitality quantitative detection program stored in the memory and executable on the processor, and when the corn seed vitality quantitative detection program is executed by the processor, the steps of the corn seed vitality quantitative detection method as described above are implemented.

[0106] The specific implementation of the corn seed vitality quantitative detection equipment of the present application is basically the same as the various embodiments of the above-mentioned corn seed vitality quantitative detection method, and will not be repeated here.

[0107] In addition, the present invention also provides a readable storage medium, which includes a computer-readable storage medium on which a quantitative detection program for corn seed vitality is stored. The readable storage medium may be Figure 1 The memory 1005 in the terminal may also be at least one of a ROM (Read-Only Memory) / RAM (Random Access Memory), a magnetic disk, and an optical disk. The readable storage medium includes a number of instructions for enabling a corn seed vitality quantitative detection device having a processor to execute the corn seed vitality quantitative detection method described in each embodiment of the present invention.

[0108] The specific implementation methods in the readable storage medium of the present application are basically the same as the embodiments of the above-mentioned method for quantitatively detecting the vitality of corn seeds, and will not be repeated here.

[0109] It is understood that, in the description of this specification, the description with reference to the terms "one embodiment", "another embodiment", "other embodiments", or "first to Nth embodiments" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0110] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0111] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0112] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0113] Finally, it should be noted that the above embodiments are only used to illustrate rather than limit the technical solutions of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the present invention can still be modified or replaced by equivalents. Any modification or partial replacement that does not depart from the spirit and scope of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for quantitatively detecting the vitality of corn seeds, characterized in that: The following steps are involved: Obtaining a corn seed vitality detection task in a target monitoring period, and extracting detection association information of a number of corn seed samples to be detected in the corn seed vitality detection task; wherein the detection association information includes the detection storage location of each corn seed sample to be detected and the corn seed category and storage information; Based on the detection storage location of each corn seed sample to be detected and the corn seed category and storage information, a number of first seed soaking and cultivation tasks for the incubator and a second seed soaking and cultivation task for the incubator are generated; specifically comprising: based on the corn seed category and storage information, a number of corn seed samples to be detected are classified into vitality levels to obtain a number of groups of corn seed samples to be detected with vitality levels; a number of constant temperature environment resources are obtained for the incubator; wherein each incubator is configured as a first environment with a first constant temperature and a second environment with a second constant temperature, and the constant temperature environment resources include a maximum cultivation temperature of the corn seeds when each incubator performs a single constant temperature cultivation. quantity; wherein the first constant temperature is configured to be higher than the second constant temperature; according to the vitality level of each group of corn seed samples to be detected and the maximum number of corn seeds to be cultured when each incubator performs a single constant temperature culture, the ratio of the number of corn seed samples to be detected that are cultured in the first environment and cultured in the second environment in each group of corn seed samples to be detected with vitality level is solved; based on the ratio of the number of corn seed samples to be detected that are cultured in the first environment and cultured in the second environment in each group of corn seed samples to be detected with vitality level, a number of first seed soaking and culture tasks for the incubators and a number of second seed soaking and culture tasks for the incubators are generated; Driving the testing personnel to perform the seed soaking and cultivation of each corn seed sample to be tested according to the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator; Each corn seed sample to be tested after soaking and culturing is subjected to TTC staining, image acquisition and vitality quantitative detection to obtain the vitality quantification value of each corn seed sample to be tested; specifically comprising: using filter paper to absorb surface moisture of each corn seed sample to be tested after soaking and culturing, using 1% TTC staining solution to stain at 30°C in the dark for 6 hours, washing with PBS 2-3 times, cutting the seeds longitudinally along the embryo with a scalpel or a scalpel, and selecting a piece containing a complete embryo and endosperm for image acquisition; performing TTC staining, image acquisition and CIELAB color value detection on corn seeds with different vitality values ​​in advance, and then constructing a conversion relationship table between corn seed vitality value and CIELAB color value; using image analysis software to identify the CIELAB color value of the captured image, and detecting and obtaining the vitality quantification value of each corn seed sample to be tested according to the CIELAB color value and the conversion relationship table; According to the life force quantification weight corresponding to the first seed soaking and cultivation task or the second seed soaking and cultivation task in the incubator for each corn seed sample to be tested and the life force quantification value of each corn seed sample to be tested, the actual life force quantification value of each corn seed sample to be tested is calculated; specifically including: adding the preset life force quantification weight of each corn seed sample to be tested in each corn seed sample to be tested and the weight of the life force quantification value as the actual life force quantification value of each corn seed sample to be tested; wherein the preset life force quantification weight of each corn seed sample to be tested obtained by executing the first seed soaking and cultivation task in the incubator is lower than the preset life force quantification weight of each corn seed sample to be tested obtained by executing the second seed soaking and cultivation task in the incubator.

2. The method for quantitatively detecting the vitality of corn seeds according to claim 1, characterized in that: The step of solving the ratio of the number of corn seed samples to be tested that are cultured in the first environment and the second environment in each group of corn seed samples to be tested of each vitality level specifically includes: The first constraint condition is that the completion time of constant temperature cultivation of several groups of corn seed samples to be tested in an incubator is shorter than the target detection cycle; the second constraint condition is that the ratio of the environmental allocation of corn seeds to be tested of the corn seed samples to be tested at each vitality level is lower than the target difference ratio of the environmental allocation of corn seeds to be tested of the corn seed samples to be tested at a higher vitality level; the goal is to maximize the ratio of all corn seed samples to be tested in the corn seed vitality detection task that are cultured at the second environment at the constant temperature; Taking the environmental distribution ratio of corn seeds to be tested of corn seed samples to be tested with the lowest vitality level as the preset initial ratio as the basis, the environmental distribution ratio of corn seeds to be tested of each group of corn seed samples to be tested with vitality level is solved; wherein, the environmental distribution ratio of corn seeds to be tested is configured as the ratio of the number of corn seed samples to be tested that execute the first environment constant temperature cultivation and the second environment constant temperature cultivation.

3. The method for quantitatively detecting the vitality of corn seeds according to claim 1, characterized in that: Based on the ratio of the number of corn seed samples to be tested that are cultured in the first environment and the second environment in each group of corn seed samples of vitality level, a plurality of incubator first seed soaking and culture tasks and a plurality of incubator second seed soaking and culture tasks are generated, specifically including: Extracting and marking all first-category corn seed samples to be tested that are cultured in a first environment at a constant temperature and all second-category corn seed samples to be tested that are cultured in a second environment at a constant temperature from among several groups of corn seed samples to be tested of vitality levels; Allocating the first type of corn seed samples to be tested and the second type of corn seed samples to be tested to corresponding incubators; Based on the incubator and the detection storage position of each corn seed sample to be detected in the first type of corn seed samples to be detected, generating a plurality of incubator first seed soaking and cultivation tasks; Based on the incubator and the detection and storage position of each corn seed sample to be detected in the second type of corn seed samples to be detected, a plurality of incubator second seed soaking and cultivation tasks are generated.

4. The method for quantitatively detecting the vitality of corn seeds according to claim 3, characterized in that: The test personnel are driven to perform the seed soaking and cultivation steps of each corn seed sample to be tested according to the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator, specifically including: Send the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator to the inspector; Drive the testing personnel to the corresponding testing storage positions to respectively extract the corn seed samples to be tested for executing the first seed soaking and cultivation task in the incubator and the second seed soaking and cultivation task in the incubator, and respectively execute the seed soaking and cultivation of the first seed soaking and cultivation task in the incubator and the second seed soaking and cultivation task in the incubator.

5. A device for quantitatively detecting the vitality of corn seeds, characterized in that: include: An acquisition module is used to acquire a corn seed vitality detection task in a target monitoring period, and extract detection association information of a plurality of corn seed samples to be detected in the corn seed vitality detection task; wherein the detection association information includes a detection storage location of each corn seed sample to be detected and corn seed category and storage information; A generation module is used to generate a plurality of first seed soaking and cultivation tasks for a culture box and a second seed soaking and cultivation task for a culture box based on the detection storage location of each corn seed sample to be detected and the corn seed category and storage information; specifically comprising: classifying the vitality levels of a plurality of corn seed samples to be detected based on the corn seed category and storage information to obtain a plurality of groups of corn seed samples to be detected with vitality levels; obtaining constant temperature environment resources of a plurality of culture boxes; wherein each culture box is configured as a first environment with a first constant temperature and a second environment with a second constant temperature, and the constant temperature environment resources include the maximum value of the corn seeds when each culture box performs a single constant temperature cultivation The maximum number of cultures; wherein the first constant temperature is configured to be higher than the second constant temperature; according to the vitality level of each group of corn seed samples to be detected and the maximum number of corn seeds to be cultured when each incubator performs a single constant temperature culture, the ratio of the number of corn seed samples to be detected that are cultured in the first environment and cultured in the second environment in each group of corn seed samples to be detected with a vitality level is solved; based on the ratio of the number of corn seed samples to be detected that are cultured in the first environment and cultured in the second environment in each group of corn seed samples to be detected with a vitality level, a number of first seed soaking culture tasks for the incubators and a number of second seed soaking culture tasks for the incubators are generated; An execution module is used to drive the inspection personnel to perform the seed soaking and cultivation of each corn seed sample to be inspected according to the first seed soaking and cultivation task of the incubator and the second seed soaking and cultivation task of the incubator; The detection module is used to perform TTC staining, image acquisition and vitality quantitative detection on each corn seed sample to be detected after soaking and culturing, so as to obtain the vitality quantification value of each corn seed sample to be detected; specifically comprising: using filter paper to absorb the surface moisture of each corn seed sample to be detected after soaking and culturing, using a 1% TTC staining solution to stain for 6 hours at 30°C in the dark, washing with PBS 2-3 times, cutting the seeds longitudinally along the embryo with a scalpel or a scalpel, and selecting a piece containing a complete embryo and endosperm for image acquisition; performing TTC staining, image acquisition and CIELAB color value detection on corn seeds with different vitality values ​​in advance, and then constructing a conversion relationship table between corn seed vitality value and CIELAB color value; using image analysis software to identify the CIELAB color value of the collected image, and detecting and obtaining the vitality quantification value of each corn seed sample to be detected according to the CIELAB color value and the conversion relationship table; A calculation module is used to calculate the actual life quantification value of each corn seed sample to be tested according to the life quantification value weight corresponding to each corn seed sample to be tested performing the first seed soaking and cultivation task in the incubator or the second seed soaking and cultivation task in the incubator and the life quantification value of each corn seed sample to be tested; specifically comprising: adding the preset life quantification value weight of each corn seed sample to be tested in each corn seed sample to be tested and the weight of the life quantification value as the actual life quantification value of each corn seed sample to be tested; wherein the preset life quantification value weight of each corn seed sample to be tested obtained by performing the first seed soaking and cultivation task in the incubator is lower than the preset life quantification value weight of each corn seed sample to be tested obtained by performing the second seed soaking and cultivation task in the incubator.

6. A quantitative detection device for corn seed vitality, characterized in that: The corn seed vitality quantitative detection device includes: a memory, a processor, and a corn seed vitality quantitative detection program stored in the memory and executable on the processor. When the corn seed vitality quantitative detection program is executed by the processor, the steps of the corn seed vitality quantitative detection method as described in any one of claims 1 to 4 are implemented.

7. A storage medium, characterized in that: The storage medium stores a corn seed vitality quantitative detection program, which, when executed by a processor, implements the steps of the corn seed vitality quantitative detection method as described in any one of claims 1 to 4.

Images