Crop stress resistance monitoring method based on electrophysiological cell metabolic energy

Abstract

The invention discloses a crop stress resistance monitoring method based on electrophysiological cell metabolic energy, which comprises the following steps of: calculating capacitive reactance and inductive reactance by measuring capacitance, resistance and impedance of crop leaves under different clamping forces, and respectively constructing resistance, impedance, capacitive reactance and inductive reactance change models of the crop leaves along with the clamping forces; calculating the dielectric substance transfer numbers of k-type and b-type cells of crop leaf cells based on resistance, impedance, capacitive reactance and inductive reactance by using the parameters of the models, and further calculating the metabolic energy of the leaf cells based on resistance, impedance, capacitive reactance and inductive reactance; metabolic energy of four kinds of leaf cells is normalized to represent the stress resistance of crops, online and real-time monitoring of the stress resistance of the crops and early prediction of adversity stress such as crop continuous cropping obstacles are achieved, and important technical support is provided for efficient cultivation and management of the crops.

Description

Technical Field

[0001] The present invention focuses on the monitoring of crop growth and stress resistance, and belongs to the field of crop information monitoring technology. This field focuses on obtaining and analyzing information related to crop growth to optimize planting management, and in particular involves a crop stress resistance monitoring method based on electrophysiological cell metabolic energy. Background Art

[0002] Crop stress refers to the environmental conditions that crops face during their growth process that have a negative impact on their growth and yield. For example, continuous cropping obstacles: excessive consumption of nutrients (i.e., malnutrition), deterioration of soil physical and chemical properties (drought, etc.), increased pests and diseases, and accumulation of toxic substances such as allelopathic substances; drought: insufficient water, which hinders crop growth and affects yield and quality; salinization: too much salt in the soil affects crop root growth, reduces yield and quality; low or high temperature: too low temperature affects crop growth rate and metabolism, which may cause growth stagnation or death: too high temperature causes crop water to evaporate too quickly, affecting growth and yield; pests and diseases: pathogenic microorganisms, pests, etc. harm crop growth, affecting yield and quality; malnutrition or poor soil: insufficient soil nutrition, affecting crop growth and yield, low soil organic matter content, and malnutrition; excessive water: waterlogging or overly humid environment affects crop respiration and photosynthesis, causing growth stagnation, etc.

[0003] Continuous cropping disorder is a typical comprehensive adversity, which refers to abnormal crop growth and development caused by continuous cultivation of the same crop or closely related crops on the same soil. There are many reasons for its occurrence, including excessive nutrient consumption (i.e. malnutrition), deterioration of soil physical and chemical properties (drought, etc.), aggravation of pests and diseases, and accumulation of toxic substances such as allelopathic substances. After continuous cropping disorder occurs in crops, the symptoms are generally poor growth and development, reduced yield and quality, and in extreme cases, local seedling death, no seedlings or weak seedlings; the roots of most affected plants turn brown, branches are reduced, vitality is low, and the distribution range is narrow, resulting in a decreased ability to absorb water and nutrients.

[0004] Radix Pseudostellariae is one of the two major authentic Chinese medicinal materials that are the focus of research and utilization in my country's modern Chinese medicine industry. The planting area of ​​Radix Pseudostellariae and Pinellia ternata in our province has reached 316,100 mu, ranking first and third in the country respectively. The main production areas of Radix Pseudostellariae are mainly concentrated in Shibing County, Huangping County and other areas. However, the continuous cropping obstacle of Radix Pseudostellariae in the main production areas of Chinese medicinal materials in Guizhou is serious, causing significant economic losses to local industries and farmers. The preliminary research and investigation of the research team found that the growth and development of Radix Pseudostellariae and Pinellia ternata in the main production areas of Chinese medicinal materials in Guizhou were inhibited, the quality deteriorated, the pests and diseases intensified, the yield continued to decline, the authenticity was distorted, and the soil they were planted was acidified, the nutrients were sealed, and the microbial community structure was unbalanced; in addition, farmers in the main production areas often increase fertilizers and abuse pesticides to maintain the output of Radix Pseudostellariae and Pinellia ternata, which also led to problems such as the quality and safety of Chinese medicinal materials and environmental pollution. The continuous cropping obstacle has become a key factor that seriously restricts the growth, yield, quality and industrial development of Radix Pseudostellariae and Pinellia ternata in Guizhou.

[0005] In addition, crops including Chinese medicinal materials such as Radix Pseudostellariae, Pinellia ternata, and Panax notoginseng, grain and oil crops such as peanuts and tobacco, and horticultural crops such as peppers, tomatoes, and cucumbers are all suffering from serious continuous cropping problems. At present, researchers at home and abroad only focus on the effects and mechanisms such as the observation of phenomena causing continuous cropping problems of Radix Pseudostellariae and peanuts, the identification of allelopathic substances, and biological testing, or only focus on single mitigation measures such as soil disinfection, intercropping, and crop rotation. Moreover, there are few reports on monitoring methods for continuous cropping resistance. Therefore, the establishment of real-time monitoring technology for crop stress resistance can realize online and real-time monitoring of crop stress resistance and early prediction of adverse stresses such as continuous cropping problems, providing important technical support for efficient cultivation and management of crops. Summary of the invention

[0006] The purpose of the present invention is to provide a method for monitoring crop stress resistance based on electrophysiological cell metabolic energy, which is used to solve the problem that traditional monitoring methods are difficult to quickly and accurately obtain crop growth information and early judge continuous cropping obstacles, provide a scientific basis for optimizing crop planting management, and promote agricultural scientific and technological innovation.

[0007] The scheme of the present invention is as follows:

[0008] Based on the first main aspect of the present invention, a method for monitoring crop stress resistance based on electrophysiological cell metabolic energy is provided, wherein the method measures the capacitance, resistance and impedance of crop leaves under different clamping forces, calculates the capacitive reactance and inductive reactance, and respectively constructs models of how the resistance, impedance, capacitive reactance and inductive reactance of crop leaves change with the clamping force; and

[0009] Calculating the k-type and b-type dielectric material transfer numbers of crop leaf cells based on resistance, impedance, capacitance and inductance using the parameters of the above-mentioned model, and further calculating the leaf cell metabolic energy based on resistance, impedance, capacitance and inductance; and

[0010] By normalizing the four types of leaf cell metabolic energy to represent the stress resistance of crops, online and real-time monitoring of crop stress resistance and early prediction of adverse stresses such as crop continuous cropping obstacles can be achieved.

[0011] Specifically, the method comprises the following steps:

[0012] The method comprises the following steps:

[0013] The method comprises the following steps:

[0014] S1, collecting leaves: select fresh mature leaves from the base of the plant to be tested and soak them in distilled water for 30 minutes;

[0015] S2, electrical parameter measurement and calculation: using the parallel mode of the LCR tester, the capacitance C, resistance R, impedance Z of the crop leaves under different clamping forces F are immediately measured after the moisture of the leaves is dried, and the capacitive reactance XC and inductive reactance XL of the crop leaves are calculated;

[0016] S3, model construction and parameter acquisition: construct the models of the resistance, impedance, capacitive reactance and inductive reactance of crop leaves changing with the clamping force F, and obtain the parameters of each model through fitting method;

[0017] S4, calculation of dielectric material transfer number: according to the parameters obtained in step S3, calculation of the k-type and b-type dielectric material transfer numbers of crop leaf cells based on resistance, impedance, capacitive reactance and inductive reactance;

[0018] S5, calculation of leaf cell metabolic energy: according to the number of electrical mass transfer obtained in step S4, calculation of leaf cell metabolic energy based on resistance, impedance, capacitive reactance and inductive reactance;

[0019] S6, stress resistance evaluation: The four leaf cell metabolic energies obtained in S5 were normalized to represent the stress resistance of crops and to evaluate the stress resistance CSR of crops under different stresses.

[0020] As a further preferred solution, in step S2, the calculation formula of the capacitive reactance XC is as follows:

[0021] Where XC is the capacitive reactance, C is the capacitance, f is the test frequency, and π is the circumference of a circle;

[0022] The calculation formula of the inductive reactance XL is as follows:

[0023] Where R is resistance, Z is impedance, XL is inductive reactance, and XC is capacitive reactance.

[0024] As a further preferred solution, in step S3, the model of the change of the resistance R of the crop leaf with the clamping force F is: Where a0, k0 and b0 are the fitting parameters of the model;

[0025] The impedance Z of crop leaves changes with the clamping force F as follows: Among them, a1, k1 and b1 are the fitting parameters of the model;

[0026] The model of the capacitive reactance XC of crop leaves changing with the clamping force F is: Among them, a2, k2 and b2 are the fitting parameters of the model;

[0027] The model of the inductive reactance XL of crop leaves changing with the clamping force F is: Where a3, k3 and b3 are the fitting parameters of the model.

[0028] As a further preferred solution, in step S4, the formulas for obtaining the transfer number of type k and type b dielectric materials in crop leaf cells based on the resistance R are: K R =lnk0-lna0,B R = b0;

[0029] The formulas for obtaining the k-type and b-type dielectric material transfer numbers of crop leaf cells based on impedance Z are: K Z =lnk1-lna1,B Z = b1;

[0030] The formulas for obtaining the k-type and b-type dielectric material transfer numbers of crop leaf cells based on capacitive reactance XC are: K XC =lnk2-lna2,B XC = b2;

[0031] The formulas for obtaining the k-type and b-type dielectric material transfer numbers of crop leaf cells based on inductive reactance XL are: K XL =lnk3-lna3,B XL =b3.

[0032] As a further preferred solution, in step S5, the calculation formula for leaf cell metabolic energy based on the resistance R is obtained as follows:

[0033] The calculation formula for leaf cell metabolic energy based on impedance Z is:

[0034] The calculation formula for leaf cell metabolic energy based on capacitive reactance XC is:

[0035] The calculation formula for obtaining leaf cell metabolic energy based on inductive reactance XL is:

[0036] As a further preferred solution, in step S6, the calculation formula for obtaining the stress resistance CSR of crops is:

[0037] In all the above schemes, the crops include at least the Chinese medicinal materials Pseudostellariae Radix, Pinellia Ternate, and Panax Notoginseng, the grain and oil crops peanuts and tobacco, and the horticultural crops peppers, tomatoes, and cucumbers.

[0038] According to the second main aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed, the aforementioned method for monitoring crop stress resistance based on electrophysiological cell metabolic energy is implemented.

[0039] Compared with the existing technology, the present invention proposes an innovative technical solution around crop growth monitoring and continuous cropping obstacle assessment, which shows significant technical effects in many aspects and effectively promotes the development of the agricultural field.

[0040] First, the present invention can obtain the growth status of crops in real time by measuring the electrophysiological information of crop leaves. In the field, without complicated sample collection and laboratory analysis, the capacitance, resistance, impedance and other parameters of the leaves under different clamping forces can be quickly measured using an LCR tester, and then various growth-related indicators can be calculated to achieve real-time tracking of crop growth, providing growers with crop growth information in a timely manner so that they can make management decisions quickly.

[0041] Secondly, by constructing multiple models and a series of calculation formulas, the present invention converts the leaf cell metabolic energy of crops into the specific stress resistance CSR of crops. These quantitative indexes can more accurately reflect the actual situation of crops. Compared with traditional qualitative judgments, growers can more intuitively and accurately understand the quality of crop growth and the severity of continuous cropping obstacles, providing strong data support for scientific planting.

[0042] Finally, the present invention provides a comprehensive and scientific basis for crop cultivation management. Planters can optimize planting measures in a targeted manner based on the various physiological indicators and indexes obtained through monitoring. For crops with relatively low intracellular water content relative to water holding capacity, reasonable irrigation is performed; for crops with insufficient nutrient transport capacity, precise fertilization is performed. This precise management method can improve resource utilization efficiency, reduce unnecessary inputs, and achieve efficient cultivation of crops.

[0043] The invention is applicable to a variety of crops, such as pinellia, Radix Pseudostellariae, peanuts, peppers, etc. This monitoring method can be applied to rhizomes, fruits, or other types of crops. This makes the invention highly versatile and can be promoted and applied in different agricultural production scenarios, which is of great significance to promoting the development of the entire agricultural industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A complete workflow diagram in one embodiment of the present invention is shown;

[0045] Figure 2 An LCR test device diagram and a parallel plate capacitor principle diagram in one embodiment of the present invention are shown;

[0046] The markings in the accompanying drawings are: 1- bracket, 2- foam board, 3- electrode plate, 4- electric wire, 5- iron block, 6- plastic rod, 7- fixing frame. DETAILED DESCRIPTION

[0047] The preferred embodiments of the present invention will be described in detail below so that the purpose, features and advantages of the present invention can be more clearly understood. It should be understood that the following embodiments are not intended to limit the scope of the present invention, but are only intended to illustrate the essential spirit of the technical solution of the present invention.

[0048] In the following description, certain specific details are set forth for the purpose of illustrating various disclosed embodiments to provide a thorough understanding of the various disclosed embodiments. However, those skilled in the relevant art will recognize that the embodiments may be practiced without one or more of these specific details. In other cases, well-known techniques associated with the present application may not be shown or described in detail to avoid unnecessarily obscuring the description of the embodiments.

[0049] References throughout the specification to "one embodiment" or "an embodiment" indicate that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of "in one embodiment" or "in an embodiment" in various places throughout the specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any manner in one or more embodiments.

[0050] Embodiment 1:

[0051] In the main production areas of Pseudostellaria heterophylla and peanuts, soils from crops that have been planted for one year, two years, three years, four years, and no crops were collected and brought back to the laboratory for potted experiments. The variety of Pseudostellaria heterophylla is "Guishen No. 1" and the variety of peanuts is Tongren Pearl Peanut.

[0052] Five treatments were set up: 1 year of continuous cropping, 2 years of continuous cropping, 3 years of continuous cropping, 4 years of continuous cropping and 0 years of continuous cropping (healthy plants), and each treatment was repeated 3 times. Each planting pot was filled with 1.5 kg of soil and 10 seeds were sown. The seeds were all of the same size and free of pests and diseases. When they grew to the vigorous growth period, their electrophysiological information was measured.

[0053] 1.2 Monitoring methods

[0054] Take four representative leaves from each replicate, soak the fresh leaves for 30 minutes, and then remove the moisture on the leaf surface for testing. All tests were sampled and measured between 8:00 and 9:00 in the morning, and the measurement temperature was room temperature (20.0℃±2.0℃).

[0055] The capacitance (C), resistance (R) and impedance (Z) of crop leaves were measured using an LCR tester (model: 6300, produced by GWinstek Electronics Industrial Co., Ltd., Taiwan, China), with a test voltage and frequency of 1.5V and 3.0kHz, respectively. The test voltage and frequency are the optimal test voltage and frequency obtained in the preliminary research of the present invention.

[0056] The mesophyll cells of crops can be divided into long cylindrical palisade tissue cells and irregular spherical sponge tissue cells. In order to simplify scientific problems, each mesophyll cell can be regarded as a concentric spherical capacitor. Many arranged mesophyll cells are connected by intercellular filaments to form a leaf capacitor. Since the leaves of crops have low capacitance and high impedance, the parallel mode of the LCR meter is selected for measurement. Parallel plate capacitor and experimental test device such as Figure 2 shown.

[0057] The measurement process is as follows: first, the center of the leaf is clamped between two copper electrodes of a homemade parallel plate capacitor with a diameter of 7 mm. Then, by adding an iron block 5 of the same mass, the C, R and Z of the crop leaf under different clamping forces (1.139N, 2.149N, 3.178N, 4.212N and 5.245N) are measured. 11 to 13 sets of data are taken under each clamping force, and finally 10 sets of data are selected for calculation and processing.

[0058] Research results before the present invention show that the pressure that crop leaf cells can withstand (the force that does not cause crop cell damage) is 15.89 to 30.01N, while the maximum clamping force of 5.245N used in the present invention is far lower than the pressure that crop leaf cells can withstand, so its effect on the measurement is negligible.

[0059] According to the method of the present invention, the k-type and b-type dielectric material transfer numbers K of crop leaf cells based on resistance R of crops with different continuous cropping years are calculated. R and B R , the transfer number K of k-type and b-type dielectric materials in crop leaf cells based on impedance Z Z and B Z , the transfer number K of k-type and b-type dielectric materials in crop leaf cells based on capacitive reactance XC XC and B XC , K transfer number of k-type and b-type dielectric substances in crop leaf cells based on inductive reactance XL XL and B XL. And the leaf cell metabolic energy ΔGE based on resistance R, impedance Z, capacitive reactance XC and inductive reactance XL R , ΔGE Z , ΔGE XC and ΔGE XL , CSR of crop stress resistance.

[0060] 1.2 Monitoring results

[0061] 1.2.1 Pseudostellariae Radix Example:

[0062] The parameters of the fitting equations between resistance, impedance, inductive reactance and capacitive reactance of Radix Pseudostellariae with different continuous cropping years and the clamping force are shown in Table 1. The correlation coefficient R 2 All of them are above 0.96, indicating that the fitting equation is good, and further confirming that the theoretical relationship between the resistance, impedance, inductive reactance and capacitive reactance of Pseudo-Pseudo-Ganoderma plant and the clamping force is a three-parameter exponential decline model.

[0063] Table 1 Parameters of the fitting equations between resistance, impedance, inductive reactance, capacitive reactance and clamping force of Radix Pseudostellariae in different continuous cropping years

[0064]

[0065] The k-type and b-type dielectric material transfer number K of leaf cells of Pseudostellaria heterophylla with different continuous cropping years based on resistance R R and B R , the transfer number K of the k-type and b-type dielectric materials of the leaf cell based on the impedance Z Z and B Z , the transfer number K of the k-type and b-type dielectric materials of the leaf cell based on the capacitive reactance XC XC and B XC , the transfer number K of the k-type and b-type dielectric substances of leaf cells based on inductive reactance XL XL and B XL As shown in Table 2.

[0066] Table 2 The k-type and b-type dielectric material transfer numbers K of leaf cells of Pseudostellaria heterophylla in different continuous cropping years based on resistance R R and B R , the transfer number K of the k-type and b-type dielectric materials of the leaf cell based on the impedance Z Z and B Z , the transfer number K of the k-type and b-type dielectric materials of the leaf cell based on the capacitive reactance XC XC and B XC , the transfer number K of the k-type and b-type dielectric substances of leaf cells based on inductive reactance XL XL and B XL

[0067]

[0068] Metabolic energy ΔGE of leaf cells based on resistance R, impedance Z, capacitive reactance XC and inductive reactance XL of Pseudostellaria heterophylla in different continuous cropping years R , ΔGE Z , ΔGE XC and ΔGE XL , the stress resistance CSR based on electrophysiological metabolic energy is shown in Table 3. The stress resistance CSR based on electrophysiological metabolic energy well characterizes the resistance to continuous cropping of Pseudostellaria heterophylla. With the extension of continuous cropping years, the continuous cropping obstacles become more and more serious, and the stress resistance of Pseudostellaria heterophylla becomes stronger and stronger. The results show that the stress resistance CSR based on electrophysiological metabolic energy well characterizes the resistance to continuous cropping of Pseudostellaria heterophylla, and provides an effective and accurate method for real-time monitoring of the resistance to continuous cropping of Pseudostellaria heterophylla.

[0069] Table 3 Metabolic energy ΔGE of leaf cells of Radix Pseudostellariae with different continuous cropping years based on resistance R, impedance Z, capacitive reactance XC and inductive reactance XL R , ΔGE Z , ΔGE XC and ΔGE XL , stress resistance CSR based on electrophysiological metabolic energy

[0070]

[0071] 1.2.2 Peanut Example:

[0072] The parameters of the fitting equations between the resistance, impedance, inductive reactance and capacitive reactance of peanut plants with different continuous cropping years and the clamping force are shown in Table 4. The correlation coefficient R 2 All of them are above 0.97, indicating that the fitting equation is good, and further confirming that the theoretical relationship between the resistance, impedance, inductive reactance and capacitive reactance of peanut plants and the clamping force is a three-parameter exponential decline model.

[0073] Table 4 Parameters of fitting equations between resistance, impedance, inductive reactance, capacitive reactance and clamping force of peanut plants in different continuous cropping years

[0074]

[0075] The k-type and b-type dielectric material transfer number K of leaf cells based on resistance R of peanut with different continuous cropping years R and B R , the transfer number K of the k-type and b-type dielectric materials of the leaf cell based on the impedance Z Z and B Z , the transfer number K of the k-type and b-type dielectric materials of the leaf cell based on the capacitive reactance XC XC and B XC , the transfer number K of the k-type and b-type dielectric substances of leaf cells based on inductive reactance XL XL and B XL As shown in Table 5.

[0076] Table 5 The transfer number K of k-type and b-type dielectric materials in leaf cells of peanuts with different continuous cropping years based on resistance R R and B R , the transfer number K of the k-type and b-type dielectric materials of the leaf cell based on the impedance Z Z and B Z , the transfer number K of the k-type and b-type dielectric materials of the leaf cell based on the capacitive reactance XC XC and B XC , the transfer number of k-type and b-type dielectric substances in leaf cells based on inductive reactance XL XL

[0077] and B XL

[0078]

[0079]

[0080] Metabolic energy ΔGE of leaf cells based on resistance R, impedance Z, capacitive reactance XC and inductive reactance XL of peanuts with different continuous cropping years R , ΔGE Z , ΔGE XC and ΔGE XL , the stress resistance CSR based on electrophysiological metabolic energy is shown in Table 6. The stress resistance CSR based on electrophysiological metabolic energy well characterizes the resistance of peanut to continuous cropping. With the extension of continuous cropping years, the obstacles to continuous cropping become more and more serious, and the stress resistance of peanut becomes stronger and stronger within 0-3 years of continuous cropping. It decreases after 4 years of continuous cropping, which may be due to the enhanced adaptability of peanut. The results show that the stress resistance CSR of electrophysiological metabolic energy well characterizes the resistance of peanut to continuous cropping, and provides an effective and accurate method for real-time monitoring of the resistance of peanut to continuous cropping.

[0081] Table 6 Metabolic energy ΔGE of leaf cells based on resistance R, impedance Z, capacitive reactance XC and inductive reactance XL of peanuts in different continuous cropping years R , ΔGE Z , ΔGE XC and ΔGE XL , stress resistance CSR based on electrophysiological metabolic energy

[0082]

[0083] The matters not described in detail in the present invention are all known technologies to those skilled in the art.

[0084] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for monitoring crop stress resistance based on electrophysiological cell metabolic energy, characterized in that: The method measures the capacitance, resistance and impedance of crop leaves under different clamping forces, calculates the capacitive reactance and inductive reactance, and respectively constructs models of the resistance, impedance, capacitive reactance and inductive reactance of crop leaves changing with the clamping force; and The parameters of the above-mentioned model are used to calculate the k-type and b-type dielectric material transfer numbers of crop leaf cells based on resistance, impedance, capacitance and inductance, and then calculate the leaf cell metabolic energy based on resistance, impedance, capacitance and inductance; as well as By normalizing the four types of leaf cell metabolic energy to represent the stress resistance of crops, online and real-time monitoring of crop stress resistance and early prediction of adverse stresses such as crop continuous cropping obstacles can be achieved.

2. The method for monitoring crop stress resistance based on electrophysiological cell metabolic energy according to claim 1, characterized in that: The method comprises the following steps: The method comprises the following steps: S1, leaf collection: select fresh mature leaves from the base of the plant to be tested and soak them in distilled water for 30 minutes; S2, electrical parameter measurement and calculation: using the parallel mode of the LCR tester, the capacitance C, resistance R, impedance Z of the crop leaves under different clamping forces F are immediately measured after the moisture of the leaves is dried, and the capacitive reactance XC and inductive reactance XL of the crop leaves are calculated; S3, model construction and parameter acquisition: construct the models of the resistance, impedance, capacitive reactance and inductive reactance of crop leaves changing with the clamping force F, and obtain the parameters of each model through fitting method; S4, calculation of dielectric material transfer number: according to the parameters obtained in step S3, calculation of the k-type and b-type dielectric material transfer numbers of crop leaf cells based on resistance, impedance, capacitive reactance and inductive reactance; S5, calculation of leaf cell metabolic energy: according to the electric mass transfer number obtained in step S4, the leaf cell metabolic energy based on resistance, impedance, capacitive reactance and inductive reactance is calculated; S6, stress resistance evaluation: The four leaf cell metabolic energies obtained in S5 were normalized to represent the stress resistance of crops and to evaluate the stress resistance CSR of crops under different stresses.

3. The method for monitoring crop stress resistance based on electrophysiological cell metabolic energy according to claim 2, characterized in that: In step S2, the calculation formula of the capacitive reactance XC is as follows: Where XC is the capacitive reactance, C is the capacitance, f is the test frequency, and π is the circumference of a circle; The calculation formula of the inductive reactance XL is as follows: Where R is resistance, Z is impedance, XL is inductive reactance, and XC is capacitive reactance.

4. The method for monitoring crop stress resistance based on electrophysiological cell metabolic energy according to claim 3, characterized in that: In step S3, the model of the resistance R of the crop leaf changing with the clamping force F is: Where a0, k0 and b0 are the fitting parameters of the model; The impedance Z of crop leaves changes with the clamping force F as follows: Among them, a1, k1 and b1 are the fitting parameters of the model; The model of the capacitive reactance XC of crop leaves changing with the clamping force F is: Among them, a2, k2 and b2 are the fitting parameters of the model; The model of the inductive reactance XL of crop leaves changing with the clamping force F is: Where a3, k3 and b3 are the fitting parameters of the model.

5. The method for monitoring crop stress resistance based on electrophysiological cell metabolic energy according to claim 4, characterized in that: In step S4, the formulas for obtaining the transfer number of k-type and b-type dielectric materials in crop leaf cells based on the resistance R are: K R =lnk0-lna0,B R = b0; The formulas for obtaining the k-type and b-type dielectric material transfer numbers of crop leaf cells based on impedance Z are: K Z =lnk1-lna1,B Z = b1; The formulas for obtaining the k-type and b-type dielectric material transfer numbers of crop leaf cells based on capacitive reactance XC are: K XC =lnk2-lna2,B XC = b2; The formulas for obtaining the k-type and b-type dielectric material transfer numbers of crop leaf cells based on inductive reactance XL are: K XL =lnk3-lna3,B XL =b3.

6. The method for monitoring crop stress resistance based on electrophysiological cell metabolic energy according to claim 5, characterized in that: In step S5, the calculation formula of leaf cell metabolic energy based on resistance R is obtained as follows: The calculation formula for leaf cell metabolic energy based on impedance Z is: The calculation formula for leaf cell metabolic energy based on capacitive reactance XC is: The calculation formula for obtaining leaf cell metabolic energy based on inductive reactance XL is:

7. The method for monitoring crop stress resistance based on electrophysiological cell metabolic energy according to claim 6, characterized in that: In step S6, the calculation formula for obtaining the stress resistance CSR of crops is:

8. The method for monitoring crop stress resistance based on electrophysiological cell metabolic energy according to claim 7, characterized in that: The crops include at least the Chinese medicinal materials Pseudostellariae Radix, Pinellia Ternate, and Panax Notoginseng, the grain and oil crops peanut and tobacco, and the horticultural crops pepper, tomato, and cucumber.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed, the method for monitoring crop stress resistance based on electrophysiological cell metabolic energy as described in any one of claims 1 to 8 is implemented.

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