A method for evaluating rice salt tolerance based on monitoring data

Abstract

The invention discloses a rice salt tolerance evaluation method based on monitoring data, relates to the technical field of rice salt tolerance detection, and comprises the following steps: establishing a rice salt tolerance test control group, setting different salt concentrations to cultivate rice; real-time monitoring of the test environment in the rice salt tolerance test control group; real-time monitoring of rice growth indicators; based on growth indicator analysis and calculation of evaluation indexes of different rice salt tolerance test control groups; based on big data, performing graded evaluation on the evaluation indexes. The invention is used to solve the problem that the existing rice salt tolerance detection technology still has the problem that the analysis of rice salt tolerance is not comprehensive enough and the experimental variables are not regulated in real time, resulting in inaccurate evaluation of rice salt tolerance.

Description

Technical Field

[0001] The invention relates to the technical field of rice salt tolerance detection, and in particular to a rice salt tolerance evaluation method based on monitoring data. Background Art

[0002] Rice salt tolerance detection technology refers to a series of technologies and methods used to evaluate the tolerance of rice varieties or germplasm to salt stress. These technologies are designed to help agricultural researchers and breeders screen out rice varieties that are more adaptable to saline-alkali environments in order to improve rice yield and quality.

[0003] Existing rice salt tolerance detection technology is usually based on the final growth status of rice for evaluation, ignoring the growth indicators of rice during the growth process. The growth indicators of rice during the growth process can also reflect the salt tolerance of rice to a certain extent, and the test of rice salt tolerance usually needs to be tested through control experiments, and the existing rice salt tolerance detection technology does not achieve real-time control in controlling experimental variables. Rice is in different salt concentrations, which will cause differences in the absorption rate of other elements by rice, and then cause other variables in the control experiment to change over time. For example, in a patent application with publication number CN108377788A, a method for identifying and evaluating the salt tolerance of rice during the whole growth period is disclosed. This scheme is to evaluate the salt tolerance of rice through the final growth status of rice, and there is no real-time guarantee that the experimental variables are within the predetermined range during the test, resulting in an inaccurate evaluation of the salt tolerance of rice. The existing rice salt tolerance detection technology also has the problem that the analysis of rice salt tolerance is not comprehensive enough and the experimental variables are not regulated in real time, resulting in an inaccurate evaluation of the salt tolerance of rice. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art at least to a certain extent, by establishing a first number of rice salt tolerance test control groups, setting a cultivation environment for the rice salt tolerance test control groups and cultivating them, then monitoring the test environment in the rice salt tolerance test control groups in real time, monitoring the growth indicators of rice in real time, and then sorting out the monitored growth indicators based on the number of cultivation days, and constructing an indicator trend graph, and then analyzing and calculating the evaluation indexes of different rice salt tolerance test control groups based on the indicator trend graph, and finally performing a graded evaluation on the evaluation index based on big data, so as to solve the problem that the existing rice salt tolerance detection technology still has the problem that the analysis of rice salt tolerance is not comprehensive enough and the experimental variables are not regulated in real time, resulting in inaccurate evaluation of rice salt tolerance.

[0005] To achieve the above objectives, in a first aspect, the present application provides a method for evaluating rice salt tolerance based on monitoring data, comprising the following steps:

[0006] A control group for rice salt tolerance test was established, and rice was cultivated at different salt concentrations;

[0007] Real-time monitoring of the test environment in the rice salt tolerance test control group, wherein the test environment includes salt concentration, soil moisture, ambient temperature and element content, wherein the soil moisture, ambient temperature and element content of different rice salt tolerance test control groups are kept equal;

[0008] Real-time monitoring of rice growth indicators;

[0009] Calculate the evaluation index of different rice salt tolerance test control groups based on growth index analysis;

[0010] Conduct graded evaluation of the assessment index based on big data.

[0011] Furthermore, a control group for rice salt tolerance test is established, and different salt concentrations are set to cultivate rice, including the following sub-steps:

[0012] Establishing the first number of control groups for rice salt tolerance testing;

[0013] The cultivation environment of the rice salt tolerance test control group was set up and cultivation was carried out.

[0014] Furthermore, establishing a first number of rice salt tolerance test control groups includes the following sub-steps:

[0015] Get the number of levels for grading rice salt tolerance, denoted as c;

[0016] Establish c+1 rice salt tolerance test control groups, through the symbol R n Refers to the control group of rice salt tolerance test, where 1≤n≤c+1 and n∈Z+, Z+ represents a positive integer.

[0017] Furthermore, setting up a cultivation environment for a control group of a rice salt tolerance test and carrying out cultivation includes the following sub-steps:

[0018] Get the concentration range of rice salt tolerance, expressed as [a, b];

[0019] Calculate (ba) / c and mark the result as the grouping interval, denoted as d;

[0020] For R 1 The salt concentration of the control group of the rice salt tolerance test was set to 0%. n , the salt concentration of the control group in the rice salt tolerance test was set to a+(n-1)×d.

[0021] Furthermore, real-time monitoring of the test environment in the control group of the rice salt tolerance test includes the following sub-steps:

[0022] Real-time monitoring of the salt concentration, soil moisture, ambient temperature and element content of the control group of the rice salt tolerance test, wherein the element content includes nitrogen, phosphorus and potassium soil elements;

[0023] Obtain the optimal humidity, temperature and element content during the rice growth period, and mark them as optimal humidity, optimal temperature and optimal content respectively;

[0024] Through real-time monitoring, the soil moisture, ambient temperature and element content of all rice salt tolerance test control groups were maintained at the optimal humidity, temperature and content;

[0025] Through real-time monitoring, the salt concentration of the control group of the rice salt tolerance test was maintained at a+(n-1)×d.

[0026] Furthermore, the growth indicators of rice are monitored in real time, and the growth indicators include plant height, number of leaves, panicle length, stem diameter and number of grains per panicle. The plant height adopts the average value of the heights of all rice in the rice salt tolerance test control group, the number of leaves adopts the average value of the number of leaves of all rice in the rice salt tolerance test control group, the panicle length adopts the average value of the lengths of all rice panicles in the rice salt tolerance test control group, the stem diameter adopts the average value of the diameters of all rice stems in the rice salt tolerance test control group, and the number of grains per panicle adopts the average value of the number of grains per panicle of all rice in the rice salt tolerance test control group.

[0027] Further, the calculation of the evaluation index of different rice salt tolerance test control groups based on growth index analysis includes the following sub-steps:

[0028] Based on the number of cultivation days, the growth indicators monitored were sorted out and an indicator trend graph was constructed;

[0029] The evaluation index of different rice salt tolerance test control groups was calculated based on the indicator trend diagram analysis.

[0030] Furthermore, based on the number of cultivation days, the growth indicators obtained by monitoring are sorted out, and an indicator trend graph is constructed, including the following sub-steps:

[0031] For any growth index, monitor the change of the value of the growth index with the number of cultivation days, m represents the number of cultivation days, H(n,m) represents the change of plant height with the number of cultivation days, L(n,m) represents the change of leaf number with the number of cultivation days, S(n,m) represents the change of ear length with the number of cultivation days, T(n,m) represents the change of stem diameter with the number of cultivation days, P(n,m) represents the change of grain number with the number of cultivation days, where (n,m) are the serial numbers of H, L, S, T and P respectively;

[0032] H(n,m) specifically refers to the control group R of the rice salt tolerance test on day m. nThe plant height, L(n,m) is specifically represented by the control group R of the rice salt tolerance test on the mth day. n The number of leaves, S(n,m) is specifically represented by the control group R of the rice salt tolerance test on the mth day. n The panicle length, T(n,m) is specifically expressed as the control group R of the rice salt tolerance test on the mth day. n stem diameter, P(n,m) is specifically represented by the control group R of the rice salt tolerance test on the mth day. n Number of grains per ear;

[0033] With the number of days of cultivation as the X-axis, and plant height, leaf number, ear length, stem thickness, and ear grain number as the Y-axis, five index trend graphs were established, which were named plant height trend graph, leaf number trend graph, ear length trend graph, stem thickness trend graph, and ear grain number trend graph respectively;

[0034] The monitored H(n,m) is recorded in the plant height trend graph, L(n,m) is recorded in the leaf number trend graph, S(n,m) is recorded in the ear length trend graph, T(n,m) is recorded in the stem diameter trend graph, and P(n,m) is recorded in the grain number per ear trend graph.

[0035] Furthermore, the evaluation index of different rice salt tolerance test control groups is calculated based on the index trend diagram analysis, including the following sub-steps:

[0036] Starting with n=1, perform polynomial regression on H(n,m) and get R n The plant height trend line is obtained by performing polynomial regression on L(n,m) to obtain R n The leaf number trend line is obtained by performing polynomial regression on S(n,m) to obtain R n The spike length trend line is used to perform polynomial regression on T(n,m) to obtain R n The stem thickness trend line is obtained by performing polynomial regression on P(n,m) to obtain R n The trend line of the number of grains per ear; add n+1 and reanalyze until R is obtained c The indicator trend lines include a plant height trend line, a leaf number trend line, an ear length trend line, a stem thickness trend line, and an ear grain number trend line;

[0037] By Symbol KH n Represents R n The plant height trend line, through the symbol KL n Represents R n The leaf number trend line, through the symbol KS n Represents R n The spike length trend line, through the symbol KT n Represents R n The thick trend line of the stem, through the symbol KP n Represents R n The trend line of the number of grains per ear;

[0038] Add an infinitely long vertical line at X=1 and X=j in all indicator trend graphs, so that several closed spaces are formed between the indicator trend lines;

[0039] Starting with n=2, get KH n With KH 1 The area of ​​the enclosed space between n , get KL n With KL 1 The area of ​​the confined space between n , get KS n With KS 1 The area of ​​the enclosed space between n , get KT n With KT 1 The area of ​​the confined space between n , get KP n With KP 1 The area of ​​the confined space between n , add n+1 and reanalyze until SH is obtained c , SL c SS c , ST c and SP c until;

[0040] The maximum value of m is represented by the symbol j, and the symbols EN are used in ascending order of the subscript i. i They represent H(n,j), L(n,j), S(n,j), T(n,j) and P(n,j) in order; they are represented by the symbol EO in ascending order of the subscript i. i They represent H(1,j), L(1,j), S(1,j), T(1,j) and P(1,j) in order; they are represented by the symbol SQ in ascending order of the subscript i. i SH n , SL n SS n , ST n and SP n ; Based on the difference of n, EN i ,EO i and SQ i The values ​​of will change; the evaluation index of different rice salt tolerance test control groups is calculated by the evaluation index calculation formula;

[0041] The evaluation index calculation formula is configured as: , where AT n The control group R for rice salt tolerance testn The evaluation index is max(i), max(i) is the maximum value of i, and α is the optimization constant.

[0042] Furthermore, the hierarchical evaluation of the evaluation index based on big data includes the following sub-steps:

[0043] Based on big data analysis, a conventional index threshold is obtained, which is the average value of the evaluation index calculated when most varieties of rice are cultivated in an environment with the maximum salt concentration that they can withstand and the growth indicators are always within the normal range;

[0044] Starting with n=2, AT n Compare with the index's conventional threshold. If AT n If AT is greater than or equal to the index normal threshold, a tolerance sufficient signal is output; n If it is less than the normal threshold of the index, an insufficient tolerance signal is output;

[0045] If the output is a signal of sufficient tolerance, n+1 is added and the comparison is repeated; if the output is a signal of insufficient tolerance, the comparison is stopped and n at this time is marked as q;

[0046] The grading evaluation of rice salt tolerance includes extremely poor, poor, good, and excellent;

[0047] When q is equal to 1 to c, the corresponding evaluations are extremely poor, poor, good, and excellent.

[0048] The beneficial effects of the present invention are as follows: the present invention establishes a first number of rice salt tolerance test control groups, sets a cultivation environment for the rice salt tolerance test control groups and performs cultivation, and then monitors the test environment in the rice salt tolerance test control groups in real time. The advantage is that, by real-time monitoring of the test environment in the rice salt tolerance test control groups, the soil moisture, ambient temperature and element content of all rice salt tolerance test control groups are maintained at an optimal humidity, an optimal temperature and an optimal content, thereby avoiding differences in the absorption efficiency of the elements by rice due to different salt concentrations, thereby causing changes in the test environment, and improving the accuracy and rationality of the rice salt tolerance test.

[0049] The present invention monitors the growth indicators of rice in real time, then sorts out the monitored growth indicators based on the number of cultivation days, constructs an indicator trend graph, and then calculates the evaluation indexes of different rice salt tolerance test control groups based on the indicator trend graph. Finally, the evaluation indexes are graded and evaluated based on big data. The advantage is that the indicator trend graph not only shows the final growth conditions of rice in different rice salt tolerance test control groups, but also shows the changes of rice during the growth process. Combining the two points to evaluate the salt tolerance of rice can more comprehensively analyze the salt tolerance of rice, thereby improving the accuracy and comprehensiveness of the rice salt tolerance test evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a flow chart of the steps of the method of the present invention;

[0051] Figure 2 is a schematic diagram of the coordinate point H(1,m) of the present invention;

[0052] Figure 3 R of the present invention 1 Schematic diagram of the plant height trend line;

[0053] Figure 4 It is the plant height trend diagram of the present invention;

[0054] Figure 5 A schematic diagram of adding vertical lines to form a closed space according to the present invention;

[0055] Figure 6 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0056] 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.

[0057] Example 1, please refer to Figure 1 As shown, the present application provides a method for evaluating rice salt tolerance based on monitoring data, comprising the following steps:

[0058] Step S1, establishing a rice salt tolerance test control group, setting different salt concentrations to cultivate rice; Step S1 includes the following sub-steps:

[0059] Step S101, establishing a first number of rice salt tolerance test control groups;

[0060] Step S101 includes the following sub-steps:

[0061] Step S101.1, obtaining the number of levels for grading rice salt tolerance, denoted as c;

[0062] Step S101.2, establish c+1 rice salt tolerance test control groups, the first number is equal to c+1; through the symbol R n Refers to the control group of rice salt tolerance test, where 1≤n≤c+1 and n∈Z+, Z+ represents a positive integer;

[0063] In the specific implementation, the grading evaluation in this embodiment includes extremely poor, poor, good and excellent, so the number of levels c=4, and 5 rice salt tolerance test control groups are established, namely R 1 To R 5 ;

[0064] Step S102, setting a cultivation environment for a rice salt tolerance test control group and performing cultivation;

[0065] Step S102 includes the following sub-steps:

[0066] Step S102.1, obtaining the concentration range of rice salt tolerance, expressed as [a, b];

[0067] Step S102.2, calculate (ba) / c, and mark the calculation result as the grouping interval, denoted as d;

[0068] Step S102.3, for R 1 The salt concentration of the control group of the rice salt tolerance test was set to 0%. n , the salt concentration of the control group of rice salt tolerance test was set to a+(n-1)×d;

[0069] In the specific implementation, the concentration range of rice salt tolerance is obtained as [0, 0.8%], a=0, b=0.8%, and the grouping interval d=0.2% is calculated. 2 To R 5 , the salt concentrations were set to 0.2%, 0.4%, 0.6% and 0.8% respectively.

[0070] Step S2, real-time monitoring of the test environment in the rice salt tolerance test control group, the test environment including salt concentration, soil moisture, ambient temperature and element content, the soil moisture, ambient temperature and element content of different rice salt tolerance test control groups are kept equal; Step S2 includes the following sub-steps:

[0071] Step S201, real-time monitoring of the salt concentration, soil moisture, ambient temperature and element content of the rice salt tolerance test control group, wherein the element content includes nitrogen, phosphorus and potassium soil elements;

[0072] Step S202, obtaining the optimal humidity, temperature and element content during the rice growth period, and marking them as optimal humidity, optimal temperature and optimal content respectively;

[0073] Step S203, maintaining the soil moisture, ambient temperature and element content of all rice salt tolerance test control groups at optimal humidity, optimal temperature and optimal content through real-time monitoring;

[0074] Step S204, maintaining the salt concentration of the rice salt tolerance test control group at a+(n-1)×d through real-time monitoring;

[0075] In specific implementation, under normal circumstances, the optimum temperature for growing rice ranges from 28°C to 32°C, and this embodiment uses their median value of 30°C as the optimum temperature; the relative humidity in the environment for growing rice is preferably between 50% and 90%, and this embodiment uses their median value of 70% as the optimum humidity, and the optimum content includes the optimum content of 16 nutrients such as carbon, hydrogen, oxygen, nitrogen, phosphorus, potassium, silicon, calcium, magnesium, sulfur, iron, manganese, copper, zinc, boron and chlorine, which will not be specifically demonstrated in this embodiment. The role of the optimum content is only to maintain the content of the nutrients at the optimum content during the rice cultivation process to provide the best growth environment for rice; keep the rice salt tolerance test control group R 2 To R 5 The salt concentrations are always at 0.2%, 0.4%, 0.6% and 0.8% respectively.

[0076] Step S3, real-time monitoring of growth indicators of rice; the growth indicators include plant height, leaf number, panicle length, stem diameter and number of grains per panicle, the plant height adopts the average value of the heights of all rice in the rice salt tolerance test control group, the leaf number adopts the average value of the number of leaves of all rice in the rice salt tolerance test control group, the panicle length adopts the average value of the lengths of all rice panicles in the rice salt tolerance test control group, the stem diameter adopts the average value of the diameters of all rice stems in the rice salt tolerance test control group, and the number of grains per panicle adopts the average value of the number of grains per panicle of all rice in the rice salt tolerance test control group;

[0077] In the specific implementation, 50 rice plants with good seeds were cultivated in each rice salt tolerance test control group. During the growth process, the plant heights of the 50 rice plants were different. For the convenience of analysis, the average plant height of all rice plants in each rice salt tolerance test control group was used as the plant height of the rice salt tolerance test control group. The number of leaves, panicle length, stem thickness and number of grains per panicle also adopted the average value to unify the data of the rice salt tolerance test control group.

[0078] Step S4, calculating the evaluation index of different rice salt tolerance test control groups based on growth index analysis; Step S4 includes the following sub-steps:

[0079] Step S401, based on the number of cultivation days, collating the growth indicators obtained by monitoring, and constructing an indicator trend graph;

[0080] Step S401 includes the following sub-steps:

[0081] Step S401.1, for any growth index, monitor the change of the value of the growth index with the number of cultivation days, with m representing the number of cultivation days, with the symbol H(n,m) representing the change of plant height with the number of cultivation days, with the symbol L(n,m) representing the change of the number of leaves with the number of cultivation days, with the symbol S(n,m) representing the change of ear length with the number of cultivation days, with the symbol T(n,m) representing the change of stem diameter with the number of cultivation days, with the symbol P(n,m) representing the change of the number of grains per ear with the number of cultivation days, wherein (n,m) are the serial numbers of H, L, S, T and P respectively;

[0082] Step S401.2, H(n,m) is specifically represented by the control group R of the rice salt tolerance test on the mth day. n The plant height, L(n,m) is specifically represented by the control group R of the rice salt tolerance test on the mth day. n The number of leaves, S(n,m) is specifically represented by the control group R of the rice salt tolerance test on the mth day. n The panicle length, T(n,m) is specifically expressed as the control group R of the rice salt tolerance test on the mth day. n stem diameter, P(n,m) is specifically represented by the control group R of the rice salt tolerance test on the mth day. n Number of grains per ear;

[0083] In the specific implementation, taking H(2,36) as an example, H(2,5) represents the control group R of the rice salt tolerance test. 2 The plant height of rice on the 36th day in the figure. The meanings of the serial numbers of the other symbols are the same. n is the serial number of the control group of the rice salt tolerance test, and m is the number of cultivation days.

[0084] Step S401.3, establishing five index trend graphs with the number of cultivation days as the X-axis and the plant height, the number of leaves, the ear length, the stem thickness and the number of grains per ear as the Y-axis, respectively named as the plant height trend graph, the leaf number trend graph, the ear length trend graph, the stem thickness trend graph and the number of grains per ear trend graph;

[0085] Step S401.4, recording the monitored H(n,m) into the plant height trend graph, L(n,m) into the leaf number trend graph, S(n,m) into the ear length trend graph, T(n,m) into the stem diameter trend graph, and P(n,m) into the grain number per ear trend graph;

[0086] In the specific implementation, due to the excessive amount of data, and in this embodiment, an indicator trend graph is drawn to show the changes in the growth indicators of rice in the control group of the rice salt tolerance test with the number of cultivation days, so in this embodiment, the monitoring data of H(n,m), L(n,m), S(n,m), T(n,m) and P(n,m) are not specifically displayed, and only the indicator trend graph is used for global display;

[0087] Step S402, analyzing and calculating the evaluation index of different rice salt tolerance test control groups based on the index trend graph;

[0088] Step S402 includes the following sub-steps:

[0089] See also Figures 2 to 4 As shown, step S402.1, starting with n=1, performs polynomial regression on H(n,m) to obtain R n The plant height trend line is obtained by performing polynomial regression on L(n,m) to obtain R n The leaf number trend line is obtained by performing polynomial regression on S(n,m) to obtain R n The spike length trend line is used to perform polynomial regression on T(n,m) to obtain R n The stem thickness trend line is obtained by performing polynomial regression on P(n,m) to obtain R n The trend line of the number of grains per ear; add n+1 and reanalyze until R is obtained c The indicator trend lines include the plant height trend line, the leaf number trend line, the ear length trend line, the stem thickness trend line and the ear grain number trend line;

[0090] Step S402.2, by symbol KH n Represents R n The plant height trend line, through the symbol KL n Represents R n The leaf number trend line, through the symbol KS n Represents R n The spike length trend line, through the symbol KT n Represents R n The thick trend line of the stem, through the symbol KP n Represents R n The trend line of the number of grains per ear;

[0091] In the specific implementation, since the construction and analysis of the indicator trend graph are basically the same, only the Y axis and the coordinate points therein are different, so they are not fully displayed, and only the plant height trend graph is used as an example for explanation; Figure 2 is the coordinate point corresponding to H(1,m), and polynomial regression is performed on it to obtain Figure 3 R 1 The plant height trend line, Figure 2 and Figure 3 Only the origin of the plant height trend line is shown. Figure 4 The complete plant height trend graph is shown, where the curves from top to bottom are R 1 To R 5 The plant height trend line is KH from top to bottom. 1 To KH 5 ;

[0092] See also Figure 5 As shown, step S402.3, add an infinitely long vertical line at X=1 and X=j in all indicator trend graphs, so that a number of closed spaces are formed between the indicator trend lines;

[0093] Step S402.4, starting with n=2, obtain KH n With KH 1 The area of ​​the enclosed space between n , get KL n With KL 1 The area of ​​the confined space between n , get KS n With KS 1 The area of ​​the enclosed space between n , get KT n With KT 1 The area of ​​the confined space between n , get KP n With KP 1 The area of ​​the confined space between n , add n+1 and reanalyze until SH is obtained c , SL c SS c , ST c and SP c until;

[0094] In the specific implementation, after adding the vertical line, we get Figure 5 , Figure 5 In, R 2 To R 5 R 1 A confined space is formed, and the area of ​​the confined space is directly extracted and calculated by computer to obtain SH 2 To SH 5 They are 158.76, 233.87, 489.65 and 896.33 respectively. Since the subsequent calculation of the evaluation index is carried out by removing the dimensions and taking the quantity, the unit of the area of ​​the confined space is not important, as long as the measurement is unified; for SL n SS n , ST n and SP n The analysis is consistent with SH n The analysis is the same as that of the above, so it is omitted in this embodiment. The area of ​​the enclosed space can reflect the difference in the changes of rice during its growth process, and can further evaluate the salt tolerance of rice.

[0095] Step S402.5, the maximum value of m is represented by symbol j, and the maximum value of m is represented by symbol EN in the order of the subscript i from small to large. i They represent H(n,j), L(n,j), S(n,j), T(n,j) and P(n,j) in order; they are represented by the symbol EO in ascending order of the subscript i. i They represent H(1,j), L(1,j), S(1,j), T(1,j) and P(1,j) in order; they are represented by the symbol SQ in ascending order of the subscript i. i SH n , SL n SS n , ST n and SP n ; Based on the difference of n, EN i ,EO i and SQ i The values ​​of will change; the evaluation index of different rice salt tolerance test control groups is calculated by the evaluation index calculation formula;

[0096] The evaluation index calculation formula is configured as: , where AT n The control group R for rice salt tolerance test n The evaluation index, max(i) is the maximum value of i, and α is the optimization constant;

[0097] In the specific implementation, in this embodiment, the maximum value of m is j=100, EN 1 That means H(n,100), if we calculate AT 1 , EN 1 That means H(1,100), EN 1 The n and AT in H(n,100) represented by n Corresponding to n in EO 1 Indicates H(1,100), α is set to 100000. The setting of α is only for the convenience of comparison and aesthetics of the evaluation index, and has no practical effect. It is only necessary to ensure that the α used in each calculation is consistent. 1 Corresponding to R 1 The evaluation index of R 1 The salt concentration is 0, so there is no need to calculate AT 1 , we can get AT by calculation 2 To AT 5 They are 30.8, 25.9, 15.3 and 3.7 respectively, and the calculated results are rounded to one decimal place.

[0098] Step S5, performing a graded evaluation on the evaluation index based on the big data; Step S5 includes the following sub-steps:

[0099] Step S501, obtaining a conventional index threshold based on big data analysis, where the conventional index threshold is the average value of the evaluation index calculated when most varieties of rice are cultivated in an environment with the maximum salt concentration they can withstand and the growth index is always within a normal range;

[0100] Step S502, starting with n=2, AT n Compare with the index's conventional threshold. If AT n If AT is greater than or equal to the index normal threshold, a tolerance sufficient signal is output; n If it is less than the normal threshold of the index, an insufficient tolerance signal is output;

[0101] Step S503, if a tolerance sufficient signal is output, n+1 is added and re-compared; if a tolerance insufficient signal is output, the comparison is stopped and n at this time is marked as q;

[0102] Step S504, grading evaluation of rice salt tolerance includes extremely poor, poor, good and excellent;

[0103] Step S505, when q is equal to 2 to c, the corresponding evaluations are extremely poor, poor, good and excellent;

[0104] In the specific implementation, the conventional threshold of the index is obtained by experimenting with rice varieties that have obtained specific salt tolerance concentrations. In the laboratory, rice of this variety is placed in the same experimental environment as the control group of the rice salt tolerance test for cultivation, and the salt concentration during cultivation is set as its upper limit. When ensuring that all growth indicators of rice are maintained at normal levels, their evaluation indexes are calculated, and then the average value is obtained to obtain the conventional threshold of the index as 14.5. By comparison, AT 2 To AT 4 Both are greater than the normal index threshold, outputting a sufficient tolerance signal, AT 5 When the value is less than the conventional threshold value of the index, an insufficient tolerance signal is output. At this time, n=5, that is, q=5, the corresponding evaluation when q=2 is extremely poor, the corresponding evaluation when q=3 is poor, the corresponding evaluation when q=4 is good, and the corresponding evaluation when q=5 is excellent, that is, the salt tolerance of the rice in this embodiment is evaluated as excellent.

[0105] Example 2, please refer to Figure 6 As shown, Figure 6The schematic diagram of the structure of an electronic device is illustrated, and the electronic device may include: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, and the processor may call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in a rice salt tolerance evaluation method based on monitoring data are executed to achieve the following functions: establish a rice salt tolerance test control group, set different salt concentrations to cultivate rice; monitor the test environment in the rice salt tolerance test control group in real time; monitor the growth index of rice in real time; calculate the evaluation index of different rice salt tolerance test control groups based on the growth index analysis; and perform graded evaluation on the evaluation index based on big data.

[0106] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0107] Example 3. The present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a rice salt tolerance evaluation method based on monitoring data provided by the above methods, the method including: establishing a rice salt tolerance test control group, setting different salt concentrations for rice cultivation; real-time monitoring of the test environment in the rice salt tolerance test control group; real-time monitoring of rice growth indicators; calculating evaluation indexes of different rice salt tolerance test control groups based on growth indicator analysis; and grading and evaluating the evaluation index based on big data.

[0108] Example 4. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method for evaluating rice salt tolerance based on monitoring data are executed to achieve the following functions: establish a rice salt tolerance test control group, and set different salt concentrations to cultivate rice; monitor the test environment in the rice salt tolerance test control group in real time; monitor the growth indicators of rice in real time; calculate the evaluation index of different rice salt tolerance test control groups based on growth indicator analysis; and grade the evaluation index based on big data.

[0109] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0110] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0111] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions 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 make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for evaluating rice salt tolerance based on monitoring data, characterized in that: The steps include: A control group for rice salt tolerance test was established, and rice was cultivated at different salt concentrations; Real-time monitoring of the test environment in the rice salt tolerance test control group, wherein the test environment includes salt concentration, soil moisture, ambient temperature and element content, wherein the soil moisture, ambient temperature and element content of different rice salt tolerance test control groups are kept equal; Real-time monitoring of rice growth indicators; Calculate the evaluation index of different rice salt tolerance test control groups based on growth index analysis; The calculation of the evaluation index of different rice salt tolerance test control groups based on growth index analysis includes the following sub-steps: Based on the number of cultivation days, the growth indicators obtained by monitoring are sorted out and an indicator trend chart is constructed; The evaluation index of different rice salt tolerance test control groups was calculated based on the index trend diagram analysis; Based on the number of cultivation days, the growth indicators monitored are sorted out and the indicator trend graph is constructed, which includes the following sub-steps: For any growth index, monitor the change of the value of the growth index with the number of cultivation days, m represents the number of cultivation days, H(n,m) represents the change of plant height with the number of cultivation days, L(n,m) represents the change of leaf number with the number of cultivation days, S(n,m) represents the change of ear length with the number of cultivation days, T(n,m) represents the change of stem diameter with the number of cultivation days, P(n,m) represents the change of grain number with the number of cultivation days, where (n,m) are the serial numbers of H, L, S, T and P respectively; H(n,m) specifically refers to the control group R of the rice salt tolerance test on day m. n The plant height, L(n,m) is specifically represented by the rice salt tolerance test control group R on the mth day. n The number of leaves, S(n,m) is specifically represented by the control group R of the rice salt tolerance test on the mth day. n The panicle length, T(n,m) is specifically expressed as the control group R of the rice salt tolerance test on the mth day. n stem diameter, P(n,m) is specifically represented by the control group R of the rice salt tolerance test on the mth day. n Number of grains per ear; With the number of days of cultivation as the X-axis, and plant height, leaf number, ear length, stem thickness, and ear grain number as the Y-axis, five index trend graphs were established, which were named plant height trend graph, leaf number trend graph, ear length trend graph, stem thickness trend graph, and ear grain number trend graph respectively; The monitored H(n,m) was recorded into the plant height trend graph, L(n,m) was recorded into the leaf number trend graph, S(n,m) was recorded into the ear length trend graph, T(n,m) was recorded into the stem diameter trend graph, and P(n,m) was recorded into the grain number trend graph; The evaluation index of different rice salt tolerance test control groups based on the index trend diagram analysis includes the following sub-steps: Starting with n=1, perform polynomial regression on H(n,m) and get R n The plant height trend line is obtained by performing polynomial regression on L(n,m) to obtain R n The leaf number trend line is obtained by performing polynomial regression on S(n,m) to obtain R n The spike length trend line is used to perform polynomial regression on T(n,m) to obtain R n The stem thickness trend line is obtained by performing polynomial regression on P(n,m) to obtain R n The trend line of the number of grains per ear; add n+1 and reanalyze until R is obtained c The indicator trend lines include a plant height trend line, a leaf number trend line, an ear length trend line, a stem thickness trend line, and an ear grain number trend line; By Symbol KH n Represents R n The plant height trend line, through the symbol KL n Represents R n The leaf number trend line, through the symbol KS n Represents R n The spike length trend line, through the symbol KT n Represents R n The thick trend line of the stem, through the symbol KP n Represents R n The trend line of the number of grains per ear; Add an infinitely long vertical line at X=1 and X=j in all indicator trend graphs, so that several closed spaces are formed between the indicator trend lines; Starting with n=2, get KH n The area of ​​the confined space between KH1 and SH n , get KL n The area of ​​the confined space between KL1 is marked as SL n , get KS n The area of ​​the confined space between KS1 is marked as SS n , get KT n The area of ​​the confined space between KT1 and ST n , get KP n The area of ​​the confined space between KP1 and the n , add n+1 and reanalyze until SH is obtained c , SL c SS c 、ST c and SP c until; The maximum value of m is represented by the symbol j, and the symbols EN are used in ascending order of the subscript i. i They represent H(n,j), L(n,j), S(n,j), T(n,j) and P(n,j) in order; they are represented by the symbol EO in ascending order of the subscript i. i They represent H(1,j), L(1,j), S(1,j), T(1,j) and P(1,j) in order; they are represented by the symbol SQ in ascending order of the subscript i. i SH n , SL n SS n 、ST n and SP n ; Based on the difference of n, EN i ,EO i and SQ i The values ​​of will change; the evaluation index of different rice salt tolerance test control groups is calculated by the evaluation index calculation formula; The evaluation index calculation formula is configured as: , where AT n The control group R for rice salt tolerance test n The evaluation index, max(i) is the maximum value of i, and α is the optimization constant; The evaluation index is graded and evaluated based on big data; a rice salt tolerance test control group is established, and different salt concentrations are set to cultivate rice, including the following sub-steps: establishing a first number of rice salt tolerance test control groups; setting a cultivation environment for the rice salt tolerance test control group and cultivating the rice; Establishing the first number of rice salt tolerance test control groups includes the following sub-steps: Get the number of levels for rice salt tolerance, expressed as c; establish c+1 rice salt tolerance test control groups, represented by symbol R n Refers to the control group of rice salt tolerance test, where 1≤n≤c+1 and n∈Z+, Z+ represents a positive integer; The hierarchical evaluation of the evaluation index based on big data includes the following sub-steps: The conventional threshold of the index is obtained based on big data analysis; starting from n=2, ATn is compared with the conventional threshold of the index. If ATn is greater than or equal to the conventional threshold of the index, a sufficient tolerance signal is output; if ATn is less than the conventional threshold of the index, an insufficient tolerance signal is output; if a sufficient tolerance signal is output, n+1 is added and the comparison is repeated; if an insufficient tolerance signal is output, the comparison is stopped and n at this time is marked as q; the graded evaluation of rice salt tolerance includes extremely poor, poor, good and excellent; when q is equal to 1 to c, the corresponding evaluations are extremely poor, poor, good and excellent, respectively.

2. A rice salt tolerance evaluation method based on monitoring data according to claim 1, characterized in that: Setting up the cultivation environment for the control group of the rice salt tolerance test and carrying out cultivation includes the following sub-steps: Get the concentration range of rice salt tolerance, expressed as [a, b]; Calculate (ba) / c and mark the result as the grouping interval, denoted as d; For R1, the salt concentration of the control group of the rice salt tolerance test was set to 0%. n , the salt concentration of the control group in the rice salt tolerance test was set to a+(n-1)×d.

3. A rice salt tolerance evaluation method based on monitoring data according to claim 2, characterized in that: Real-time monitoring of the test environment in the control group of the rice salt tolerance test includes the following sub-steps: Real-time monitoring of the salt concentration, soil moisture, ambient temperature and element content of the control group of the rice salt tolerance test, wherein the element content includes nitrogen, phosphorus and potassium soil elements; Obtain the optimal humidity, temperature and element content during the rice growth period, and mark them as optimal humidity, optimal temperature and optimal content respectively; Through real-time monitoring, the soil moisture, ambient temperature and element content of all rice salt tolerance test control groups were maintained at the optimal humidity, temperature and content; Through real-time monitoring, the salt concentration of the control group of the rice salt tolerance test was maintained at a+(n-1)×d.

4. A rice salt tolerance evaluation method based on monitoring data according to claim 3, characterized in that: The growth indicators of rice are monitored in real time, and the growth indicators include plant height, leaf number, panicle length, stem diameter and number of grains per panicle. The plant height adopts the average value of the heights of all rice plants in the rice salt tolerance test control group, the leaf number adopts the average value of the number of leaves of all rice plants in the rice salt tolerance test control group, the panicle length adopts the average value of the lengths of all rice panicles in the rice salt tolerance test control group, the stem diameter adopts the average value of the diameters of all rice stems in the rice salt tolerance test control group, and the number of grains per panicle adopts the average value of the number of grains per panicle of all rice plants in the rice salt tolerance test control group.

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