Determination method for weather indexes caused by spring frost damage of tea trees

Abstract

The invention discloses a tea tree spring frost damage disaster-causing meteorological index determination method, and relates to the technical field of agricultural meteorological disaster risk early warning and assessment, and the method comprises the following steps: collecting the real-time meteorological data of tea tree spring frost occurrence over the years, and analyzing the meteorological conditions of the tea tree spring frost disaster-causing process from the stress intensity and the duration thereof; and designing a manual control test scheme according to an analysis result, and carrying out manual control tests on the tea trees under different stress intensities and durations. Real-time meteorological conditions of tea tree spring frost damage over the years are systematically analyzed, and physiological and biochemical response characteristics of spring tea tender tips under different stress intensities and durations are simulated in combination with a manual control test, so that determination of disaster-causing indexes has high accuracy, real responses of tea trees under different frost conditions can be accurately reflected, and the determination accuracy is improved. And the grade of the tea tree spring frost damage can be accurately divided through quantitative analysis and calculation of the phenol-ammonia ratio.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural meteorological disaster risk warning and assessment, and in particular to a method for determining meteorological indicators of tea tree spring frost damage. Background Art

[0002] Tea is one of my country's characteristic economic crops, belonging to the Theaceae family, Camellia genus, with tall trees and shrubs. Tea has a pivotal position in the national economy due to its high economic benefits and good ecological effects. However, with global climate change, sudden radiation cooling, advection cooling and their compound weather processes occur from time to time in early spring, which not only delays the harvesting period of spring tea, but also causes a sharp decline in the yield and quality of spring tea, bringing huge economic losses to tea farmers.

[0003] Research shows that the main impact of early spring frost on tea is that the sprouted buds suddenly encounter low temperatures, causing cell atrophy, cytoplasm and wall separation and death, and "pockmarks" on the tea leaves. Early spring tea buds and tender shoots have weak resistance to low temperatures and are extremely susceptible to frost. In mild cases, the young buds and leaves curl, turn brown, and scorch; in severe cases, the tea tree grows weak, with withered branches and fallen leaves, and even dies. Therefore, how to determine the disaster-causing indicators of tea trees when they are under frost stress is a problem we need to solve. To this end, a method for determining the disaster-causing meteorological indicators of spring frost damage to tea trees is proposed. Summary of the invention

[0004] The present invention aims to provide a method for determining meteorological indicators of spring frost damage to tea trees, so as to solve the problems raised in the above-mentioned background technology.

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

[0006] A method for determining meteorological indicators of spring frost damage to tea trees comprises the following steps:

[0007] Step 1: collect real-time meteorological condition data of tea tree spring frost in previous years, and analyze the meteorological conditions of the tea tree spring frost disaster process based on the intensity and duration of the stress;

[0008] Step 2: According to the analysis results, determine the intensity and duration of different temperature stresses and design an artificial control test plan;

[0009] Step 3, simulating a spring frost environment in an artificial climate box, placing the potted tea trees under set temperature conditions, measuring physiological and biochemical indices of spring tea shoots, including the contents of tea polyphenols and amino acids, and calculating the phenol-ammonia ratio, and simultaneously measuring the contents of tea polyphenols and amino acids in spring tea shoots under normal meteorological conditions;

[0010] Step 4, analyzing the changing characteristics of physiological and biochemical indicators of tea tree shoots, and constructing a simulation model of spring frost damage to tea trees to reflect the physiological response characteristics of tea trees under different frost conditions;

[0011] Step 5, comparing the phenol-ammonia ratio of spring tea shoots under adverse stress with that under normal control, and classifying the meteorological grade index of spring frost disaster for tea trees.

[0012] A further improvement of the technical solution of the present invention is that in step 1, the process of analyzing the meteorological conditions of the tea tree spring frost disaster process is:

[0013] Step 101, collecting real-time meteorological data of spring frost damage to tea trees over the years, including key meteorological elements such as temperature, humidity, wind speed, and radiation, with the data covering multiple years to ensure that the climatic characteristics of spring frost damage to tea trees can be fully reflected;

[0014] Step 102, sorting the collected meteorological data to ensure the integrity and accuracy of the data, excluding abnormal values ​​and erroneous data, and extracting meteorological characteristics related to spring frost damage to tea trees from the sorted data, including the minimum temperature, temperature drop rate, and frost duration;

[0015] Step 103, analyzing the meteorological conditions when spring frost occurs on tea trees in different years and in different regions to determine the commonalities and differences;

[0016] Step 104, according to the analysis results, determine the range of stress intensity during the spring frost disaster of tea trees, analyze the degree and performance of damage to tea trees under different stress intensities, and clarify the relationship between stress intensity and degree of damage to tea trees;

[0017] Step 105, summarizes the meteorological conditions of the tea tree spring frost disaster process, including the range of extreme temperatures, the threshold of duration, and the accompanying humidity and wind speed change characteristics.

[0018] A further improvement of the technical solution of the present invention is that in step 2, the process of determining the intensity and duration of different temperature stresses is as follows:

[0019] Step 201, based on historical data analysis, summarize the meteorological conditions of the spring frost damage process of tea trees, design a temperature gradient, and simulate different low temperature stress conditions, including temperature points of 4°C, 3°C, 2°C, 1°C, 0°C, -1°C, -2°C, -3°C, and -4°C, which cover the frost temperature range that tea trees may suffer;

[0020] Step 202, according to the actual duration of frost occurrence, at each temperature stress intensity, the duration of each temperature point is set to 1h, 2h, 3h, 4h, 5h, 6h, 7h, and 8h, respectively, to simulate the impact of frost at different time lengths;

[0021] Step 203, select healthy potted tea trees as test subjects, ensure that the tea trees are in a normal growth state and that their leaves are about to sprout, and prepare an artificial climate box. When the young shoots of the tea trees sprout, move the potted tea trees into the artificial climate box.

[0022] A further improvement of the technical solution of the present invention is that in step 3, the calculation process of the phenol-ammonia ratio is:

[0023] Step 301, using an artificial climate box to simulate a spring frost environment, setting different temperature points in the artificial climate box to simulate frost conditions, including 4°C, 3°C, 2°C, 1°C, 0°C, -1°C, -2°C, -3°C, and -4°C, setting different durations for each temperature point, namely 1h, 2h, 3h, 4h, 5h, 6h, 7h, and 8h, to simulate low temperature stress of different lengths of time;

[0024] Step 302, randomly assigning tea trees to different experimental groups and control groups, placing the control group under normal meteorological conditions, and moving the tea trees into an artificial climate chamber to begin applying a preset temperature stress;

[0025] Step 303, during the experiment, tea leaf samples are collected regularly before and after the stress, and the tea polyphenol and amino acid contents of the tea leaves are measured. Spring tea shoots under normal meteorological conditions are simultaneously set up as a control group, and the tea polyphenol and amino acid contents thereof are measured as a baseline value;

[0026] Step 304, calculating the phenol-ammonia ratio by measuring the tea polyphenols and amino acid contents in the stress group and the control group;

[0027] Step 305, comparing the stress phenol-ammonia ratio and the normal phenol-ammonia ratio after stress and under normal conditions, and analyzing the response of the tea plant to frost stress.

[0028] A further improvement of the technical solution of the present invention is that the expression of the stress phenol-ammonia ratio is:

[0029]

[0030] Among them, PA X is the stress phenol-ammonia ratio, is the tea polyphenol content in the stress group, is the amino acid content of the stress group;

[0031] The expression of the normal phenol-ammonia ratio is:

[0032]

[0033] Among them, PA Z P is the normal phenol-ammonia ratio. Z is the tea polyphenol content of the control group, A Zis the amino acid content of the control group.

[0034] A further improvement of the technical solution of the present invention is that in step 4, the construction process of the tea tree spring frost damage simulation model is:

[0035] Step 401, measuring the tea polyphenols and amino acid contents of tea tree shoots under different temperature and duration conditions simulated by an artificial climate chamber, and measuring the tea polyphenols and amino acid contents of spring tea shoots as a control under normal meteorological conditions;

[0036] Step 402, analyzing the changing trend of the phenol-ammonia ratio of tea tree shoots under different temperature and time combinations, identifying the critical point where the phenol-ammonia ratio significantly decreases and the inflection point of the changing trend, the inflection point representing the physiological response of the tea tree to different degrees of frost stress;

[0037] Step 403, based on the collected data, a simulation model of spring frost damage to tea trees is constructed using a machine learning method to analyze the physiological response characteristics of tea trees under different frost conditions.

[0038] A further improvement of the technical solution of the present invention is that in step 5, the division process of the tea tree spring frost grade index and the spring tea meteorological grade index is as follows:

[0039] Step 501, comparing and analyzing the phenol-ammonia ratio under stress conditions with the phenol-ammonia ratio under normal conditions, determining the phenol-ammonia ratio under normal meteorological conditions as a reference value, and setting it to 10;

[0040] Step 502, comparing the phenol-ammonia ratio under adverse stress of tea trees with the phenol-ammonia ratio under normal control to construct a frost damage grade index;

[0041] Step 503, classifying the level of spring frost damage to tea trees according to the value of the frost damage level index;

[0042] Step 504, analyzing the changes in the frost damage grade index values ​​under different temperature and duration conditions, identifying the critical point where the phenol-ammonia ratio significantly decreases and the turning point of the change trend, and conducting a risk assessment of spring frost damage to tea trees, and dividing the spring tea meteorological grade index to provide a basis for tea garden management and frost prevention, wherein the spring tea meteorological grade indexes are respectively mild disaster, moderate disaster and severe disaster;

[0043] Step 505, record the experimental process, data analysis, and grading results, and write an experimental report.

[0044] A further improvement of the technical solution of the present invention is that the expression of the frost damage grade index is:

[0045]

[0046] Among them, STGI is the frost damage grade index. is the stress phenol-ammonia ratio, It is the normal phenol-ammonia ratio. It should be noted that under normal conditions, the STGI value is 10. Under stress conditions, the STGI value varies between 0 and 10. The smaller the value, the more severe the frost stress on the tea tree.

[0047] A further improvement of the technical solution of the present invention is that the corresponding relationship between the frost damage grade index and the spring tea meteorological grade index is:

[0048] Mild damage: STGI values ​​are between 8 and 10, indicating that the tea trees are less susceptible to frost stress;

[0049] Moderate damage: STGI values ​​are between 5 and 8, indicating that tea trees are under moderate frost stress;

[0050] Severe damage: STGI values ​​are between 0 and 5, indicating that the tea trees are severely affected by frost stress.

[0051] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0052] 1. The present invention provides a method for determining meteorological indicators of disaster-causing spring frost damage to tea trees. The method systematically analyzes the real-time meteorological conditions of spring frost on tea trees in previous years, combines artificial control experiments, and simulates the physiological and biochemical response characteristics of young spring tea shoots under different stress intensities and durations, so that the determination of disaster-causing indicators is highly accurate. It can not only accurately reflect the real response of tea trees under different frost conditions, but also accurately divide the level of spring frost damage to tea trees through quantitative analysis and calculation of the phenol-ammonia ratio, providing a more reliable basis for disaster warning and risk assessment.

[0053] 2. The present invention provides a method for determining meteorological indicators causing spring frost damage to tea trees. By analyzing the physiological and biochemical indicators of tea trees under different temperature stresses and durations, especially the changes in tea polyphenols and amino acid contents, a frost damage grade index is constructed, which can more accurately simulate and predict the physiological response of tea trees to spring frost damage, thereby improving the accuracy of frost damage prediction and ensuring that preventive measures are taken in time to reduce the damage caused to tea trees by frost.

[0054] 3. The present invention provides a method for determining disaster-causing indicators of spring frost damage to tea trees. The artificial climate chamber simulation experiment has the characteristics of simple operation and strong repeatability, so that the experimental results are more stable and reliable. At the same time, the constructed tea tree spring frost damage simulation model and meteorological grade indicators have wide applicability and can be applied to tea gardens in different regions. By monitoring meteorological data and combining model prediction, defensive measures can be taken in time to reduce frost damage to tea trees and improve the yield and quality of tea. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0056] Figure 1 is a flow chart of the method of the present invention;

[0057] Figure 2 It is the technical roadmap of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0059] Embodiment 1, as Figure 1 , Figure 2 As shown, the present invention provides a method for determining meteorological indicators of spring frost damage to tea trees, comprising the following steps:

[0060] Step 1, collect real-time meteorological condition data of spring frost on tea trees in previous years, analyze the meteorological conditions of spring frost disaster on tea trees based on the intensity of stress and its duration, collect real-time meteorological data of spring frost on tea trees in previous years, including key meteorological elements such as temperature, humidity, wind speed, and radiation, and the data covers multiple years to ensure that the climatic characteristics of spring frost damage to tea trees can be fully reflected, organize the collected meteorological data to ensure the integrity and accuracy of the data, exclude outliers and erroneous data, and extract meteorological characteristics related to spring frost damage to tea trees from the organized data, including minimum temperature, temperature drop rate, and frost duration, analyze the meteorological conditions when spring frost on tea trees occurs in different years and regions, determine the commonalities and differences, determine the range of stress intensity in the process of spring frost disaster on tea trees based on the analysis results, analyze the degree and manifestation of damage to tea trees under different stress intensities, clarify the relationship between stress intensity and the degree of damage to tea trees, and summarize the meteorological conditions of spring frost disaster on tea trees, including the range of extreme temperatures, the threshold of duration, and the accompanying humidity and wind speed change characteristics;

[0061] Step 2, according to the analysis results, determine the intensity and duration of different temperature stresses, design an artificial control test plan, summarize the meteorological conditions of the spring frost disaster process of tea trees based on historical data analysis, design a temperature gradient, simulate different low temperature stress conditions, including 4 ° C, 3 ° C, 2 ° C, 1 ° C, 0 ° C, -1 ° C, -2 ° C, -3 ° C, -4 ° C temperature points, the temperature points cover the frost temperature range that tea trees may suffer, according to the actual duration of frost, at each temperature stress intensity, set the duration of each temperature point, respectively, 1h, 2h, 3h, 4h, 5h, 6h, 7h, 8h, to simulate the impact of frost at different time lengths, select healthy potted tea trees as test objects, ensure that the tea trees are in a normal growth state, and the leaves are about to sprout, and prepare an artificial climate box, when the tender shoots of the tea trees sprout, move the potted tea trees into the artificial climate box;

[0062] Step 3, simulating a spring frost environment in an artificial climate box, placing the potted tea trees under set temperature conditions, determining the physiological and biochemical indices of the spring tea shoots, including the contents of tea polyphenols and amino acids, and calculating the phenol-ammonia ratio, and simultaneously determining the contents of tea polyphenols and amino acids in the spring tea shoots under normal meteorological conditions, using an artificial climate box to simulate a spring frost environment, setting different temperature points in the artificial climate box to simulate frost conditions, including 4°C, 3°C, 2°C, 1°C, 0°C, -1°C, -2°C, -3°C, and -4°C, setting different durations for each temperature point, which are 1h, 2h, 3h, 4h, 5h, 6h, 7h, and 8h, respectively, to simulate the spring frost environment. Under the same length of low temperature stress, tea trees were randomly assigned to different experimental groups and control groups. The control group was placed under normal meteorological conditions, and the tea trees were moved into an artificial climate box to begin to apply the preset temperature stress. During the experiment, tea leaf samples were collected regularly before and after the stress, and the tea polyphenols and amino acid contents of the tea leaves were determined. At the same time, spring tea shoots under normal meteorological conditions were set up as a control group, and their tea polyphenols and amino acid contents were determined. As the baseline value, the phenol-ammonia ratio was calculated by measuring the tea polyphenols and amino acid contents of the stress group and the control group, and the stress phenol-ammonia ratio after stress and under normal conditions was compared with the normal phenol-ammonia ratio to analyze the response of tea trees to frost stress;

[0063] Furthermore, the expression of the stress phenol-ammonia ratio is:

[0064]

[0065] Among them, PA X is the stress phenol-ammonia ratio, is the tea polyphenol content in the stress group, is the amino acid content of the stress group;

[0066] The expression of normal phenol-ammonia ratio is:

[0067]

[0068] Among them, PA Z P is the normal phenol-ammonia ratio. Z is the tea polyphenol content of the control group, A Z is the amino acid content of the control group;

[0069] Step 4, analyzing the changing characteristics of physiological and biochemical indicators of tea tree shoots, constructing a simulation model of spring frost damage to tea trees to reflect the physiological response characteristics of tea trees under different frost conditions, measuring the tea polyphenols and amino acid contents of tea tree shoots under different temperature and duration conditions simulated by an artificial climate chamber, measuring the tea polyphenols and amino acid contents of spring tea shoots as a control under normal meteorological conditions, analyzing the changing trend of the phenol-ammonia ratio of tea tree shoots under different temperature and time combinations, identifying the critical point where the phenol-ammonia ratio significantly decreases and the inflection point of the changing trend, the inflection point represents the physiological response of tea trees to different degrees of frost stress, based on the collected data, using machine learning methods to construct a simulation model of spring frost damage to tea trees, and analyzing the physiological response characteristics of tea trees under different frost conditions;

[0070] Step 5, using the phenol-ammonia ratio of the spring tea shoots under the stress of tea trees to compare with the phenol-ammonia ratio under the normal control, dividing the meteorological grade index of spring frost disaster of tea trees, comparing and analyzing the phenol-ammonia ratio under stress conditions with the phenol-ammonia ratio under normal conditions, determining the phenol-ammonia ratio under normal meteorological conditions as a benchmark value, setting it to 10, using the phenol-ammonia ratio under the stress of tea trees to compare with the phenol-ammonia ratio under the normal control, constructing a frost damage grade index, dividing the grade of spring frost damage of tea trees according to the value of the frost damage grade index, analyzing the change of the frost damage grade index value under different temperature and duration conditions, identifying the critical point at which the phenol-ammonia ratio significantly decreases and the inflection point of the change trend, and conducting a risk assessment of spring frost damage of tea trees, dividing the spring tea meteorological grade index, and providing a basis for tea garden management and frost defense, wherein the spring tea meteorological grade indicators are respectively mild disasters, moderate disasters and severe disasters, recording the experimental process, data analysis, and the results of grade classification, and writing an experimental report;

[0071] Furthermore, the expression of the frost damage level index is:

[0072]

[0073] Among them, STGI is the frost damage grade index. is the stress phenol-ammonia ratio, It is the normal phenol-ammonia ratio. It should be noted that under normal conditions, the STGI value is 10. Under stress conditions, the STGI value varies between 0 and 10. The smaller the value, the more severe the frost stress on the tea tree.

[0074] Furthermore, the corresponding relationship between the frost damage level index and the spring tea meteorological level index is:

[0075] Mild damage: STGI values ​​are between 8 and 10, indicating that the tea trees are less susceptible to frost stress;

[0076] Moderate damage: STGI values ​​are between 5 and 8, indicating that tea trees are under moderate frost stress;

[0077] Severe damage: STGI values ​​are between 0 and 5, indicating that the tea trees are severely affected by frost stress.

[0078] Embodiment 2, as Figure 1 , Figure 2 As shown, based on Example 1, the present invention provides a technical solution: preferably, a specific case: taking 4°C as an example, when the stress duration is 2h, the STGI value is 8, which is a mild disaster; when the stress duration is 4h, the STGI value is 5, which is a moderate disaster; when the stress duration is 6h, the STGI value is reduced to 3, which is a severe disaster.

[0079] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for determining meteorological indicators of spring frost damage to tea trees. Features: The following steps are involved: Step 1: collect real-time meteorological data of spring frost on tea trees in previous years, and analyze the meteorological conditions of the disaster-causing process of spring frost on tea trees based on the intensity and duration of the stress; Step 2: According to the analysis results, determine the intensity and duration of different temperature stresses and design an artificial control test plan; Step 3, simulating a spring frost environment in an artificial climate box, placing the potted tea trees under set temperature conditions, measuring the physiological and biochemical indices of the spring tea shoots, including the contents of tea polyphenols and amino acids, and calculating the phenol-ammonia ratio, and simultaneously measuring the contents of tea polyphenols and amino acids in the spring tea shoots under normal meteorological conditions; Step 4, analyzing the changing characteristics of physiological and biochemical indicators of tea tree shoots, and constructing a simulation model of spring frost damage to tea trees to reflect the physiological response characteristics of tea trees under different frost conditions; Step 5, comparing the phenol-ammonia ratio of spring tea shoots under adverse stress with that under normal control, and classifying the meteorological grade index of spring frost disaster for tea trees.

2. The method for determining meteorological indicators of spring frost damage to tea trees according to claim 1, Features: In step 1, the process of analyzing the meteorological conditions of the tea tree spring frost disaster process is: Step 101, collecting real-time meteorological data of spring frost on tea trees over the years, including key meteorological elements such as temperature, humidity, wind speed, and radiation, with the data covering multiple years; Step 102, sorting the collected meteorological data, and extracting meteorological characteristics related to spring frost damage to tea trees from the sorted data, including minimum temperature, temperature drop rate, and frost duration; Step 103, analyzing the meteorological conditions when spring frost occurs on tea trees in different years and in different regions to determine the commonalities and differences; Step 104, according to the analysis results, determine the range of stress intensity during the spring frost disaster of tea trees, analyze the degree and performance of damage to tea trees under different stress intensities, and clarify the relationship between stress intensity and degree of damage to tea trees; Step 105, summarizes the meteorological conditions of the tea tree spring frost disaster process, including the range of extreme temperatures, the threshold of duration, and the accompanying humidity and wind speed change characteristics.

3. The method for determining meteorological indicators of spring frost damage to tea trees according to claim 2, Features: In step 2, the process of determining different temperature stress intensities and durations is as follows: Step 201, based on historical data analysis, summarize the meteorological conditions of the spring frost disaster process of tea trees, design a temperature gradient, and simulate different low temperature stress conditions, including temperature points of 4°C, 3°C, 2°C, 1°C, 0°C, -1°C, -2°C, -3°C, and -4°C; Step 202, according to the actual duration of frost occurrence, at each temperature stress intensity, the duration of each temperature point is set to 1h, 2h, 3h, 4h, 5h, 6h, 7h, and 8h, respectively, to simulate the impact of frost at different time lengths; Step 203, select healthy potted tea trees as test subjects, ensure that the tea trees are in a normal growth state and that their leaves are about to sprout, and prepare an artificial climate box. When the young shoots of the tea trees sprout, move the potted tea trees into the artificial climate box.

4. The method for determining meteorological indicators of spring frost damage to tea trees according to claim 3, Features: In described step 3, the calculation process of phenol-ammonia ratio is: Step 301, using an artificial climate box to simulate a spring frost environment, setting different temperature points in the artificial climate box to simulate frost conditions, including 4°C, 3°C, 2°C, 1°C, 0°C, -1°C, -2°C, -3°C, and -4°C, setting different durations for each temperature point, namely 1h, 2h, 3h, 4h, 5h, 6h, 7h, and 8h, to simulate low temperature stress of different lengths of time; Step 302, randomly assigning tea trees to different experimental groups and control groups, placing the control group under normal meteorological conditions, and moving the tea trees into an artificial climate chamber to begin applying a preset temperature stress; Step 303, during the experiment, tea leaf samples are collected regularly before and after the stress, and the tea polyphenol and amino acid contents of the tea leaves are measured. Spring tea shoots under normal meteorological conditions are simultaneously set up as a control group, and the tea polyphenol and amino acid contents thereof are measured as a baseline value; Step 304, calculating the phenol-ammonia ratio by measuring the tea polyphenols and amino acid contents in the stress group and the control group; Step 305, comparing the stress phenol-ammonia ratio and the normal phenol-ammonia ratio after stress and under normal conditions, and analyzing the response of the tea plant to frost stress.

5. The method for determining meteorological indicators of spring frost damage to tea trees according to claim 4, Features: The expression of the stress phenol-ammonia ratio is: Among them, PA X is the stress phenol-ammonia ratio, is the tea polyphenol content in the stress group, is the amino acid content of the stress group; The expression of the normal phenol-ammonia ratio is: Among them, PA Z Normal phenol-ammonia ratio, P Z is the tea polyphenol content of the control group, A Z is the amino acid content of the control group.

6. The method for determining meteorological indicators of spring frost damage to tea trees according to claim 5, Features: In step 4, the construction process of the tea tree spring frost damage simulation model is as follows: Step 401, measuring the tea polyphenols and amino acid contents of tea tree shoots under different temperature and duration conditions simulated by an artificial climate chamber, and measuring the tea polyphenols and amino acid contents of spring tea shoots as a control under normal meteorological conditions; Step 402, analyzing the changing trend of the phenol-ammonia ratio of tea tree shoots under different temperature and time combinations, identifying the critical point where the phenol-ammonia ratio significantly decreases and the inflection point of the changing trend, the inflection point representing the physiological response of the tea tree to different degrees of frost stress; Step 403, based on the collected data, a simulation model of spring frost damage to tea trees is constructed using a machine learning method to analyze the physiological response characteristics of tea trees under different frost conditions.

7. The method for determining meteorological indicators of spring frost damage to tea trees according to claim 6, Features: In step 5, the division process of the tea tree spring frost grade index and the spring tea meteorological grade index is as follows: Step 501, comparing and analyzing the phenol-ammonia ratio under stress conditions with the phenol-ammonia ratio under normal conditions, determining the phenol-ammonia ratio under normal meteorological conditions as a reference value, and setting it to 10; Step 502, comparing the phenol-ammonia ratio under adverse stress of tea trees with the phenol-ammonia ratio under normal control to construct a frost damage grade index; Step 503, classifying the level of spring frost damage to tea trees according to the value of the frost damage level index; Step 504, analyzing the changes in the frost damage grade index values ​​under different temperature and duration conditions, identifying the critical point at which the phenol-ammonia ratio significantly decreases and the turning point of the change trend, and conducting a risk assessment of spring frost damage to tea trees, and dividing the spring tea meteorological grade index to provide a basis for tea garden management and frost prevention, wherein the spring tea meteorological grade indexes are respectively mild disaster, moderate disaster and severe disaster; Step 505, record the experimental process, data analysis, and grading results, and write an experimental report.

8. The method for determining meteorological indicators of spring frost damage to tea trees according to claim 7, Features: The expression of the frost damage level index is: Among them, STGI is the frost damage grade index. is the stress phenol-ammonia ratio, It is the normal phenol-ammonia ratio. It should be noted that under normal conditions, the STGI value is 10. Under stress conditions, the STGI value varies between 0 and 10. The smaller the value, the more severe the frost stress on the tea tree.

9. The method for determining meteorological indicators of spring frost damage to tea trees according to claim 8, Features: The corresponding relationship between the frost damage grade index and the spring tea meteorological grade index is: Mild disaster: STGI value is between 8 and 10; Moderate disaster: STGI value between 5 and 8; Severe disaster: STGI value is between 0 and 5.

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