Prediction method, device, equipment and storage medium for seedling emergence time and opening time

Abstract

The present application provides a prediction method, device, equipment and storage medium for emergence time and opening time, and relates to the field of fish farming technology. The method comprises: obtaining a time sample table; establishing a regression equation group according to the time sample table, wherein the regression equation group is used to indicate the relationship between the emergence prediction time and the opening prediction time, respectively, and each farming temperature; obtaining the emergence percentage and development index table according to the regression equation group, wherein the emergence percentage is used to indicate the ratio of the emergence prediction time to the opening prediction time, and the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time; obtaining the opening prediction time and the emergence prediction time of the target fish according to the emergence percentage and the development index table. The method of the present application solves the problem that the emergence time and the opening time are inaccurately estimated, which easily causes the death of seedlings.

Description

Technical Field

[0001] The present application relates to the technical field of fish farming, and in particular to a method, device, equipment and storage medium for predicting emergence time and opening time. Background Art

[0002] The Yangtze sturgeon, belonging to the order Acipenser, family Acipenser, genus Acipenser, also known as the Dabryan sturgeon, is one of the large fish species unique to the upper reaches of the Yangtze River in my country. It is also one of the precious large fish species unique to the upper reaches of the Yangtze River in my country. It was listed in the "List of Key Protected Wildlife" in 1988, with a protection level of Class I. The Yangtze sturgeon is a river-dwelling fish that often migrates for short distances of several hundred kilometers. It generally does not migrate for long distances except for reproduction. It mainly inhabits wide bays with shallow rivers, slow currents, and muddy bottoms.

[0003] A breakthrough was made in the artificial propagation of Yangtze sturgeon in the last century. In recent years, the scale of Yangtze sturgeon release has gradually expanded. However, in the breeding process, the emergence and opening time of Yangtze sturgeon are still predicted by experience, which is not very accurate. It is difficult to prepare for the transfer and cultivation of fry in advance, which leads to a backlog of fry and easily causes the death of fry. Accurately estimating the emergence and opening time of Yangtze sturgeon can reduce the mortality rate of Yangtze sturgeon fry, improve the breeding efficiency of Yangtze sturgeon, and promote the construction of sustainable artificial population of Yangtze sturgeon.

[0004] Inaccurate estimation of the emergence time and the opening time can easily lead to the death of the seedlings, which is a problem that the present invention urgently needs to solve. Summary of the invention

[0005] The present application provides a method, device, equipment and storage medium for predicting emergence time and opening time, so as to solve the problem that the prediction of emergence time and opening time is inaccurate, which may easily cause the death of seedlings.

[0006] In a first aspect, the present application provides a method for predicting emergence time and opening time, the method comprising:

[0007] Obtaining a time sample table, wherein the time sample table includes: a preset number of breeding temperatures, and the emergence sample time and the opening sample time of each sample fish at each breeding temperature;

[0008] According to the time sample table, a regression equation group is established, wherein the regression equation group is used to indicate the relationship between the predicted time of emergence and the predicted time of opening, and each culture temperature;

[0009] According to the regression equation group, the emergence percentage and development index table are obtained, wherein the emergence percentage is used to indicate the ratio of the predicted emergence time to the predicted opening time, and the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time;

[0010] According to the fry percentage and development index table, the target fish's predicted opening time and fry emergence time are obtained.

[0011] In one possible design, based on the regression equations, a table of emergence percentage and development index is obtained, including:

[0012] According to the regression equation group, the emergence percentage and the predicted opening time corresponding to each environmental temperature were obtained;

[0013] According to the predicted opening duration corresponding to each environmental temperature, a development index table is obtained.

[0014] In one possible design, the set of regression equations includes: an emergence equation and an opening equation;

[0015] According to the regression equation group, the germination percentage and the predicted opening time corresponding to each environmental temperature were obtained, including:

[0016] According to the emergence equation and the opening equation, the emergence percentage is obtained;

[0017] According to the opening equation and multiple preset ambient temperatures, the opening prediction duration corresponding to each ambient temperature is obtained.

[0018] In a possible design, the target fish's opening prediction time and emergence prediction time are obtained based on the emergence percentage and development index table, including:

[0019] According to the growth index table and the ambient temperature at each preset time in a plurality of preset time periods in the future, a cumulative growth prediction table is obtained;

[0020] According to the cumulative development prediction table, the target fish's opening prediction time is obtained;

[0021] According to the cumulative development prediction table and the spawning percentage, the predicted spawning time of the target fish is obtained.

[0022] In a possible design, the cumulative development prediction table includes: the cumulative development percentage at each preset time in a plurality of preset time periods in the future;

[0023] According to the cumulative development prediction table, the target fish's opening prediction time is obtained, including:

[0024] From at least one cumulative development percentage of not less than 100% in the cumulative development prediction table, the preset time corresponding to the minimum cumulative development percentage is used as the predicted opening time of the target fish.

[0025] In a possible design, the predicted emergence time of target fish is obtained based on the cumulative development prediction table and the emergence percentage, including:

[0026] From the multiple cumulative development percentages that are not less than the emergence percentage in the cumulative development prediction table, the preset time corresponding to the smallest cumulative development percentage is used as the emergence prediction time of the target fish.

[0027] In a possible design, a set of regression equations is established based on the duration sample table, including:

[0028] According to the duration sample table, the functional relationship is obtained through correlation analysis;

[0029] According to the functional relationship and the coefficient of determination, the regression equation group is obtained, wherein the coefficient of determination is determined according to the time length sample table.

[0030] In a second aspect, the present application provides a device for predicting emergence time and opening time, the device comprising:

[0031] An acquisition module is used to acquire a time sample table, wherein the time sample table includes: a preset number of breeding temperatures, and a frying sample time and an opening sample time of each sample fish under each breeding temperature;

[0032] A fitting module is used to establish a regression equation group according to the time sample table, wherein the regression equation group is used to indicate the relationship between the predicted time of emergence and the predicted time of opening, respectively, and each culture temperature;

[0033] The development index module is used to obtain the germination percentage and the development index table according to the regression equation group, wherein the germination percentage is used to indicate the ratio of the predicted germination time to the predicted opening time, and the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time;

[0034] The prediction module is used to obtain the target fish's mouth opening prediction time and emergence prediction time according to the emergence percentage and development index table.

[0035] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0036] Memory stores computer-executable instructions;

[0037] When the processor executes the computer-executable instructions stored in the memory, it is used to implement a method for predicting the emergence time and the opening time of the first aspect of the invention.

[0038] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed by a processor, they are used to implement a method for predicting emergence time and opening time according to the invention content of the first aspect.

[0039] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, is used to implement a method for predicting emergence time and opening time of the invention of the first aspect.

[0040] The present application provides a prediction method, device, equipment and storage medium for germination time and opening time, by obtaining a time sample table, wherein the time sample table includes: a preset number of breeding temperatures, and the germination sample time and the opening sample time of each sample fish at each breeding temperature; according to the time sample table, a regression equation group is established, wherein the regression equation group is used to indicate the relationship between the germination prediction time and the opening prediction time, respectively, and each breeding temperature; according to the regression equation group, a germination percentage and a development index table are obtained, wherein the germination percentage is used to indicate the ratio of the germination prediction time to the opening prediction time, and the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time; according to the germination percentage and the development index table, the opening prediction time and the germination prediction time of the target fish are obtained. The following technical effects are achieved: by establishing a regression equation group based on the time sample table, and obtaining the germination percentage and development index table based on the regression equation group, the problem of inaccurate estimation of the germination time and the opening time, which easily causes the death of the seedlings, is solved; by obtaining the predicted opening time and germination time of the target fish based on the germination percentage and the development index table, the problem of low efficiency in estimating the germination time and the opening time is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 A schematic diagram of a method for predicting emergence time and opening time provided in an embodiment of the present application Figure 1 ;

[0043] Figure 2 A schematic diagram of a method for predicting emergence time and opening time provided in an embodiment of the present application Figure 2 ;

[0044] Figure 3 A schematic diagram of the structure of a device for predicting emergence time and opening time provided in an embodiment of the present application;

[0045] Figure 4 A schematic diagram of the structure of the electronic device hardware provided in an embodiment of the present application.

[0046] Reference numerals:

[0047] 100-prediction device for emergence time and opening time; 110-acquisition module; 120-fitting module; 130-development index module; 140-prediction module;

[0048] 200 - electronic device; 210 - processor; 220 - memory; 230 - communication component; 240 - bus. DETAILED DESCRIPTION

[0049] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0050] In the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects. Those skilled in the art will understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit the difference. It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way. In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more.

[0051] It should be noted that the "at..." in the embodiments of the present application can be the instant when a certain situation occurs, or can be a period of time after a certain situation occurs, and the embodiments of the present application do not specifically limit this. In addition, the prediction method of the emergence time and the opening time provided in the embodiments of the present application is only used as an example, and the prediction method of the emergence time and the opening time can also include more or less content.

[0052] In order to clearly describe the technical solutions of the embodiments of the present application, some terms and technologies involved in the embodiments of the present application are briefly introduced below:

[0053] Emergence time: refers to the time from fertilization to hatching.

[0054] Opening time: refers to the time from fertilization to exogenous feeding.

[0055] Coefficient of determination (R 2 ): Also known as the coefficient of determination, coefficient of determination or index of determination, it is used to reflect the degree of explanation of the regression model for the changes in the dependent variable. The coefficient of determination is expressed as the ratio between the regression sum of squares and the total sum of squares of deviations, which is equal to the square of the correlation coefficient. The range of the coefficient of determination is between 0 and 1. The larger the value, the higher the proportion of the model's explanation of the dependent variable and the better the model's fit. On the contrary, if the value of the coefficient of determination is small, then the model's explanation of the dependent variable is low and the model's fit is poor.

[0056] In the breeding process, the time of fish emergence and opening is often predicted based on experience, which is not very accurate and makes it difficult to prepare for the transfer and cultivation of fry in advance, resulting in a backlog of fry and the death of fry. Accurately estimating the time of fish emergence and opening can reduce fry mortality, improve breeding efficiency, and promote the construction of sustainable artificial fish populations.

[0057] Inaccurate estimation of the emergence time and the opening time can easily lead to the death of the seedlings, which is a problem that the present invention urgently needs to solve.

[0058] Based on this, the embodiments of the present application provide a method, device, equipment and storage medium for predicting emergence time and opening time, which can be used in the field of fish farming technology, aiming to solve the above technical problems of the prior art.

[0059] Figure 1 A schematic diagram of a method for predicting emergence time and opening time provided in an embodiment of the present application Figure 1 .like Figure 1 As shown, the method includes:

[0060] S101, obtaining a duration sample table;

[0061] Specifically, the duration sample table includes: a preset number of breeding temperatures, and the duration of frying samples and opening samples of each sample fish at each breeding temperature; recording the duration of the experimental group from fertilized eggs to the beginning of hatching, i.e. frying, under multiple breeding temperatures, as well as the duration of blocking the discharge of melanin, i.e. opening. Furthermore, the multiple breeding temperatures can be 16°C, 19°C and 22°C, or more other temperatures.

[0062] S102, establishing a regression equation group according to the duration sample table;

[0063] Specifically, the regression equation group is used to indicate the relationship between the predicted time for emergence and the predicted time for opening, and each breeding temperature; the breeding temperature and time data of the experimental group are analyzed to obtain the regression equations of the predicted time for emergence and the predicted time for opening and the temperature, respectively.

[0064] S103, according to the regression equation group, obtain the seedling emergence percentage and development index table;

[0065] Specifically, the emergence percentage is used to indicate the ratio of the predicted emergence time to the predicted opening time, and the development index table is used to indicate the degree of development corresponding to each environmental temperature within a unit time; according to the regression equations of the predicted emergence time and the predicted opening time and temperature respectively, the ratio of the predicted emergence time to the predicted opening time and the development index corresponding to each environmental temperature within a unit time are obtained.

[0066] S104, according to the germination percentage and development index table, obtain the target fish's opening prediction time and germination prediction time;

[0067] Specifically, according to the unit length of time in the future and the development index corresponding to the corresponding ambient temperature, the sum of the development indexes corresponding to the ambient temperature of the target fish in the future is accumulated, and then the predicted opening time and the predicted emergence time are determined according to the emergence percentage and the sum of the development indexes.

[0068] In a possible design, after S103, the method further includes: tracing back the emergence time of the target fish according to the emergence percentage, the development index table and the actual opening time of the target fish;

[0069] Specifically, according to the actual opening time of the target fish, the development index table is looked up to obtain the unit length of time before the opening time, the corresponding development index of the corresponding ambient temperature, and then the emergence time and fertilization time of the target fish are obtained.

[0070] The present application provides a method for predicting the emergence time and the opening time of fish, by obtaining a time sample table, wherein the time sample table includes: a preset number of breeding temperatures, and the emergence sample time and the opening sample time of each sample fish at each breeding temperature; according to the time sample table, a regression equation group is established, wherein the regression equation group is used to indicate the relationship between the emergence prediction time and the opening prediction time, respectively, and each breeding temperature; according to the regression equation group, a germination percentage and a development index table are obtained, wherein the germination percentage is used to indicate the ratio of the emergence prediction time to the opening prediction time, and the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time; according to the germination percentage and the development index table, the opening prediction time and the emergence prediction time of the target fish are obtained. The following technical effects are achieved: by establishing a regression equation group based on the time sample table, and obtaining the germination percentage and development index table based on the regression equation group, the problem of inaccurate estimation of the germination time and the opening time, which easily causes the death of the seedlings, is solved; by obtaining the predicted opening time and germination time of the target fish based on the germination percentage and the development index table, the problem of low efficiency in estimating the germination time and the opening time is solved.

[0071] Figure 2A schematic diagram of a method for predicting emergence time and opening time provided in an embodiment of the present application Figure 2 In this embodiment Figure 1 Based on the embodiment, the prediction method of the emergence time and the opening time is described in detail. Figure 2 As shown, the method includes:

[0072] S201, obtaining a duration sample table;

[0073] Specifically, the duration sample table includes: a preset number of breeding temperatures, and the emergence sample duration and the opening sample duration of each sample fish under each breeding temperature; S201 is similar to S101 and will not be repeated in this embodiment.

[0074] S202, obtaining a functional relationship through correlation analysis according to the duration sample table; obtaining a regression equation system according to the functional relationship and the coefficient of determination;

[0075] Specifically, the coefficient of determination was determined based on the duration sample table; the regression equation group was used to indicate the relationship between the predicted duration of emergence and the predicted duration of opening, respectively, and each culture temperature;

[0076] First, the temperature and duration data of the experimental group are subjected to correlation analysis to obtain the functional relationship between temperature and the duration of emergence and the duration of opening, specifically including: using temperature as the horizontal axis and duration as the vertical axis, drawing the scatter plots corresponding to the duration of emergence and the duration of opening, and performing preliminary data fitting to obtain the functional relationship between the duration of emergence and the duration of opening and the temperature. Then, the data is processed, and optimization processing is performed according to the functional relationship and the coefficient of determination to obtain the regression equations of the duration of emergence and the duration of opening and the temperature. Further, the data can be processed by electronic spreadsheets (Microsoft Excel) and analysis software (Statistical Product and Service Solutions, SPSS). Further, the coefficient of determination can be pre-set according to the actual situation, and then the functional relationship can be optimized according to the coefficient of determination, and the sample can be divided into a prediction group and a verification group, and the regression equation group and the coefficient of determination are obtained from the data of the prediction group, and the obtained regression equation group is used for the verification group of the sample. If the duration of emergence and the duration of opening obtained according to the regression equation group do not match the actual duration, the coefficient of determination can be adjusted to adjust the regression equation group. Furthermore, the functional relationship obtained by the preliminary fitting is optimized. During data processing, the coefficient of determination and the test probability p value (p value) of the logarithmic function, system function (System Function, S function), growth function, exponential and inverse function are compared to determine the optimal regression equation.

[0077] S203, obtaining a seedling emergence percentage according to a seedling emergence equation and an opening equation; obtaining an opening prediction time corresponding to each ambient temperature according to the opening equation and a plurality of preset ambient temperatures;

[0078] Specifically, the regression equation group includes: emergence equation and opening equation; the emergence percentage is used to indicate the ratio of the predicted emergence time to the predicted opening time;

[0079] The germination percentage is obtained from the ratio of the germination equation to the opening equation. Since the ratio varies slightly with the ambient temperature, the germination percentage can be expressed in the form of mean ± standard deviation. The preset multiple ambient temperatures can be obtained by taking values ​​one by one in a certain temperature gradient within the range of the lowest to highest breeding temperature. Substituting the temperature into the opening equation, the opening prediction time corresponding to each ambient temperature is obtained.

[0080] S204, obtaining a development index table according to the opening prediction duration corresponding to each environmental temperature;

[0081] Specifically, the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time; the unit time can be 12 hours, one day, one week, etc. Taking one day as an example, first, the predicted opening time corresponding to each environmental temperature is divided by 24 to calculate the number of days required for exogenous feeding; secondly, 100% is divided by the predicted number of days to calculate the daily development index; finally, the daily development index corresponding to all environmental temperatures is integrated to obtain the development index table.

[0082] S205, obtaining a cumulative growth prediction table according to the growth index table and the ambient temperature at each preset time in a plurality of future preset time periods;

[0083] Specifically, taking one day as an example, starting from the day of fertilization, based on the average water temperature every day in the future, the development index table is looked up to obtain the daily development index, and for each day, the sum of the development indexes of the current day and all previous days is calculated to obtain the daily cumulative development index. The number of days, temperature, daily development index and daily cumulative development index are integrated to obtain a cumulative development prediction table.

[0084] S206. From at least one cumulative development percentage of not less than 100% in the cumulative development prediction table, the preset time corresponding to the minimum cumulative development percentage is used as the predicted opening time of the target fish; from multiple cumulative development percentages of not less than the emergence percentage in the cumulative development prediction table, the preset time corresponding to the minimum cumulative development percentage is used as the predicted emergence time of the target fish.

[0085] Specifically, the cumulative development prediction table includes: the cumulative development percentage of each preset time in multiple preset time periods in the future; taking one day as an example, find the cumulative development index of each day in the future in the cumulative development prediction table, determine the predicted date of emergence of the target fish based on the emergence percentage, and determine the predicted date of opening of the target fish based on 100%.

[0086] In one example, the unit time is calculated as one day, and the emergence time and mouth opening time of Yangtze sturgeon in three experimental groups of 16℃, 19℃ and 22℃ are recorded. Data processing is performed to compare logarithmic function, S function, growth function, exponential and inverse function. Logarithmic, S, growth, exponential function R 2 The values ​​are 0.996, 0.994, 0.997, and 0.997, respectively, which are all smaller than the inverse function R 2 The p value of the above five functions is less than 0.001, and the difference is significant. The emergence equation is: y = -56.67 + 3094.94 / X (R 2 =0.865); the opening equation is: y = -100.52 + 10005.46 / X (R 2 =0.998). Where X represents the daily average water temperature (°C), Y represents the development time (h), and the calculated seedling percentage is 24.49±1.40%.

[0087] Table 1

[0088]

[0089] Using the obtained regression equation, based on the daily average water temperature, the predicted opening duration was divided by 24, the number of days required for exogenous feeding was calculated, and the daily development index was calculated by dividing 100% by the predicted number of days to obtain the development index table. At a temperature of 14.0℃ to 25.9℃, the daily development index from the beginning of germination to exogenous feeding ranged from 3.91% to 8.40%, as shown in Table 1. Table 1 is a development index table of Yangtze sturgeon embryos at different water temperatures. If the daily average water temperature on a certain day is 14.1℃, the daily average water temperature (℃) is 14 and the decimal (℃) is 0.1 in Table 1, and the daily development index is 3.94%.

[0090] In one example, the unit time is calculated as one day, taking the spring breeding of a certain experimental station of the Yangtze River Sturgeon Research Institute as an example. The fertilization date of the Yangtze River sturgeon at a certain experimental station is April 11, 2023, the emergence date is April 15 (5 days after fertilization), and the exogenous feeding time is April 29 (14 days after emergence, 19 days after fertilization). According to the daily average temperature provided by a certain experimental station, the cumulative development prediction table is shown in Table 2, which is the cumulative development prediction table of a certain experimental station.

[0091] Table 2

[0092] Number of days Daily average water temperature (℃) Daily growth percentage (%) Cumulative development percentage (%) 1 17.0 4.92 4.92 2 17.5 5.09 10.01 3 17.5 5.09 15.10 4 17.9 5.24 20.34 5 17.9 5.24 25.57 6 18.0 5.27 30.84 7 18.0 5.27 36.12 8 18.2 5.34 41.46 9 18.4 5.41 46.87 10 18.8 5.56 52.43 11 18.9 5.60 58.03 12 19.0 5.63 63.66 13 19.0 5.63 69.29 14 19.1 5.67 74.96 15 19.1 5.67 80.63 16 19.2 5.71 86.34 17 19.2 5.71 92.04 18 19.3 5.74 97.79 19 19.3 5.74 103.53

[0093] Based on the actual average water temperature of a certain experimental station during the breeding day, according to the daily development index table, the cumulative development percentage of fertilized eggs on the 5th day of cultivation was calculated to be 25.57%, reaching the development percentage (24.49±1.40%); the cumulative development percentage on the 19th day was 103.53%, reaching the opening percentage (100%), and the inferred hatching time and opening time were the 5th day and the 19th day, respectively. The hatching and opening time of Yangtze sturgeon seedlings at a certain experimental station were actually the 5th day and the 19th day after fertilization, which was consistent with the predicted results.

[0094] The method provided in this embodiment obtains a time sample table, wherein the time sample table includes: a preset number of breeding temperatures, and the emergence sample time and the mouth opening sample time of each sample fish under each breeding temperature; according to the time sample table, a regression equation group is established, wherein the regression equation group is used to indicate the relationship between the emergence prediction time and the mouth opening prediction time, respectively, and each breeding temperature; according to the regression equation group, a germination percentage and a development index table are obtained, wherein the germination percentage is used to indicate the ratio of the emergence prediction time to the mouth opening prediction time, and the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time; according to the germination percentage and the development index table, the mouth opening prediction time and the germination prediction time of the target fish are obtained. The following technical effects are achieved: by establishing a regression equation group according to a time sample table, and obtaining a fry percentage and development index table according to the regression equation group, the problem of inaccurate estimation of fry emergence time and opening time, which easily causes fry death, is solved; by obtaining the predicted opening time and fry prediction time of target fish according to the fry percentage and development index table, the problem of low efficiency in estimating fry emergence time and opening time is solved; by introducing the development index to predict the development speed and time of fry emergence and opening at different temperatures, it is helpful to prepare for the transfer and cultivation of fry in advance, avoid unnecessary damage caused by fry backlog, improve the survival rate of fry cultivation, and promote the construction of sustainable artificial populations.

[0095] The embodiment of the present invention can divide the electronic device or the main control device into functional modules according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present invention is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0096] Figure 3 This is a schematic diagram of the structure of a device for predicting emergence time and opening time provided in an embodiment of the present application. Figure 3As shown, the prediction device 100 for emergence time and opening time includes: an acquisition module 110; a fitting module 120; a development index module 130; a prediction module 140;

[0097] The acquisition module 110 is used to acquire a time sample table, wherein the time sample table includes: a preset number of breeding temperatures, and a spawning sample time and an opening sample time of each sample fish under each breeding temperature;

[0098] A fitting module 120 is used to establish a regression equation group according to the time sample table, wherein the regression equation group is used to indicate the relationship between the predicted time of emergence and the predicted time of opening, respectively, and each culture temperature;

[0099] The development index module 130 is used to obtain the percentage of emergence and the development index table according to the regression equation group, wherein the percentage of emergence is used to indicate the ratio of the predicted emergence time to the predicted opening time, and the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time;

[0100] The prediction module 140 is used to obtain the target fish's predicted opening time and predicted emergence time according to the emergence percentage and development index table.

[0101] In a possible design, the development index module 130 is specifically configured to:

[0102] According to the regression equation group, the emergence percentage and the predicted opening time corresponding to each environmental temperature were obtained;

[0103] According to the predicted opening duration corresponding to each environmental temperature, a development index table is obtained.

[0104] In a possible design, the regression equation group includes: an emergence equation and an opening equation; and a development index module 130, which is specifically used for:

[0105] According to the emergence equation and the opening equation, the emergence percentage is obtained;

[0106] According to the opening equation and multiple preset ambient temperatures, the opening prediction duration corresponding to each ambient temperature is obtained.

[0107] In one possible design, the prediction module 140 is specifically configured to:

[0108] According to the growth index table and the ambient temperature at each preset time in a plurality of preset time periods in the future, a cumulative growth prediction table is obtained;

[0109] According to the cumulative development prediction table, the target fish's opening prediction time is obtained;

[0110] According to the cumulative development prediction table and the spawning percentage, the predicted spawning time of the target fish is obtained.

[0111] In a possible design, the cumulative development prediction table includes: the cumulative development percentage of each preset time in a plurality of preset time periods in the future; the prediction module 140 is specifically used to:

[0112] From at least one cumulative development percentage of not less than 100% in the cumulative development prediction table, the preset time corresponding to the minimum cumulative development percentage is used as the predicted opening time of the target fish.

[0113] In one possible design, the prediction module 140 is specifically configured to:

[0114] From the multiple cumulative development percentages that are not less than the emergence percentage in the cumulative development prediction table, the preset time corresponding to the smallest cumulative development percentage is used as the emergence prediction time of the target fish.

[0115] In a possible design, the fitting module 120 is specifically configured to:

[0116] According to the duration sample table, the functional relationship is obtained through correlation analysis;

[0117] According to the functional relationship and the coefficient of determination, the regression equation group is obtained, wherein the coefficient of determination is determined according to the time length sample table.

[0118] Figure 4 This is a schematic diagram of the structure of the electronic device hardware provided in the embodiment of the present application. Figure 4 As shown, the electronic device 200 includes: at least one processor 210 and a memory 220. The electronic device 200 also includes a communication component 230. The processor 210, the memory 220 and the communication component 230 are connected via a bus 240.

[0119] In the specific implementation process, at least one processor 210 executes the computer execution instructions stored in the memory 220, so that at least one processor 210 executes a prediction method for emergence time and opening time as executed by the electronic device side as above.

[0120] The specific implementation process of the processor 210 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0121] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The steps of the method disclosed in the invention may be directly embodied as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0122] The memory may include a high-speed random-access memory (RAM) and may also include a non-volatile memory (NVM), such as at least one disk memory.

[0123] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0124] The above-mentioned functions implemented by the electronic device and the main control device introduce the scheme provided by the embodiment of the present invention. It can be understood that in order to implement the above-mentioned functions, the electronic device or the main control device includes a hardware structure and / or software module corresponding to the execution of each function. In combination with the units and algorithm steps of each example described in the embodiment disclosed in the embodiment of the present invention, the embodiment of the present invention can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the technical solution of the embodiment of the present invention.

[0125] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the computer-readable storage medium is used to implement the above-mentioned method for predicting the emergence time and the opening time.

[0126] The above-mentioned readable storage medium can be any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0127] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in a dedicated integrated circuit. Of course, the processor and the readable storage medium can also exist as discrete components in an electronic device or a main control device.

[0128] The present application also provides a computer program product, which includes: a computer program, which is stored in a readable storage medium. At least one processor of an electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device executes the solution provided by any of the above embodiments.

[0129] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0130] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments, and the above embodiments are only used to illustrate the technical solution of the present application rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for predicting emergence time and opening time, characterized in that: The method comprises: Obtaining a time sample table, wherein the time sample table includes: a preset number of breeding temperatures, and a spawning sample time and an opening sample time of each sample fish at each of the breeding temperatures; According to the time sample table, a regression equation group is established, wherein the regression equation group is used to indicate the relationship between the predicted time of emergence and the predicted time of opening, respectively, and each of the breeding temperatures; According to the regression equation group, a seedling emergence percentage and a development index table are obtained, wherein the seedling emergence percentage is used to indicate the ratio of the predicted emergence time to the predicted opening time, and the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time; According to the emergence percentage and the development index table, the target fish's mouth opening prediction time and emergence prediction time are obtained; The method of obtaining the target fish's opening prediction time and emergence prediction time according to the emergence percentage and the development index table includes: According to the development index table and the ambient temperature at each preset time in a plurality of preset time periods in the future, a cumulative development prediction table is obtained; the cumulative development prediction table includes: the cumulative development percentage at each preset time in a plurality of preset time periods in the future; From at least one of the cumulative development percentages not less than 100% in the cumulative development prediction table, taking the preset time corresponding to the minimum cumulative development percentage as the predicted opening time of the target fish; From the plurality of cumulative development percentages not less than the emergence percentage in the cumulative development prediction table, the preset time corresponding to the minimum cumulative development percentage is used as the emergence prediction time of the target fish.

2. The method according to claim 1, characterized in that According to the regression equation group, the emergence percentage and development index table are obtained, including: According to the regression equation group, the emergence percentage and the predicted opening time corresponding to each of the environmental temperatures are obtained; The development index table is obtained according to the predicted opening duration corresponding to each of the environmental temperatures.

3. The method according to claim 2, characterized in that The regression equation group includes: an emergence equation and an opening equation; The method of obtaining the emergence percentage and the predicted opening time corresponding to each of the environmental temperatures according to the regression equation group includes: According to the emergence equation and the opening equation, the emergence percentage is obtained; According to the opening equation and a plurality of preset ambient temperatures, the opening prediction duration corresponding to each of the ambient temperatures is obtained.

4. The method according to claim 1, characterized in that: The step of establishing a regression equation group according to the duration sample table includes: According to the duration sample table, a functional relationship is obtained through correlation analysis; The regression equation group is obtained according to the functional relationship and the determination coefficient, wherein the determination coefficient is determined according to the duration sample table.

5. A device for predicting emergence time and opening time, characterized in that: The device comprises: An acquisition module is used to acquire a time sample table, wherein the time sample table includes: a preset number of breeding temperatures, and a spawning sample time and an opening sample time of each sample fish under each of the breeding temperatures; A fitting module, used for establishing a regression equation group according to the time sample table, wherein the regression equation group is used for indicating the relationship between the predicted time of emergence and the predicted time of opening, respectively, and each of the breeding temperatures; A development index module, used for obtaining a seedling emergence percentage and a development index table according to the regression equation group, wherein the seedling emergence percentage is used to indicate the ratio of the predicted emergence time to the predicted opening time, and the development index table is used to indicate the development degree corresponding to each environmental temperature within a unit time; A prediction module, used for obtaining the target fish's opening prediction time and emergence prediction time according to the emergence percentage and the development index table; The prediction module is specifically used for: According to the development index table and the ambient temperature at each preset time in a plurality of preset time periods in the future, a cumulative development prediction table is obtained; the cumulative development prediction table includes: the cumulative development percentage at each preset time in a plurality of preset time periods in the future; From at least one of the cumulative development percentages not less than 100% in the cumulative development prediction table, taking the preset time corresponding to the minimum cumulative development percentage as the predicted opening time of the target fish; From the plurality of cumulative development percentages not less than the emergence percentage in the cumulative development prediction table, the preset time corresponding to the minimum cumulative development percentage is used as the emergence prediction time of the target fish.

6. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; When the processor executes the computer-executable instructions stored in the memory, it is used to implement the method for predicting the emergence time and the opening time according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method for predicting the emergence time and the opening time according to any one of claims 1 to 4.

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