Crop comprehensive growth and continuous cropping obstacle index monitoring method based on electric information

Abstract

The invention discloses a crop comprehensive growth and successive cropping obstacle index monitoring method based on electrical information, which comprises the following steps: calculating capacitive reactance and inductive reactance by measuring capacitance, resistance and impedance of crop leaves under different clamping forces, respectively constructing models of the resistance, the impedance, the capacitive reactance and the inductive reactance of the crop leaves changing along with the clamping forces, and calculating the resistance, the impedance, the capacitive reactance and the inductive reactance of the crop leaves. Calculating inherent resistance, inherent impedance, inherent capacitive reactance and inherent inductive reactance of crop leaves as well as intracellular water metabolism, nutrient transport capacity and plant metabolic activity of crops by using parameters of the models; the comprehensive growth index of the crops is calculated and compared with the comprehensive growth index of healthy plants, the occurrence condition of the continuous cropping obstacles of the crops is judged, the continuous cropping obstacle index of the plants to be detected is monitored, and online and real-time monitoring of the health of the crops and early prediction of the continuous cropping obstacles of the crops are achieved. Important technical support is provided for efficient cultivation and management of crops.

Description

Technical Field

[0001] The present invention focuses on the monitoring of crop growth and continuous cropping obstacles, 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 method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information. Background Art

[0002] As a major authentic medicinal material that has attracted much attention in the modern Chinese medicine industry, Pinellia ternata is a dried tuber that has many functions such as relieving adverse reactions and stopping vomiting, eliminating lumps and dispersing knots, and fighting tumors. In recent years, with the popularization of health concepts and the vigorous development of the Chinese medicine market, the market demand for Pinellia ternata has continued to rise.

[0003] However, crops with serious continuous cropping problems, such as Pinellia ternata, are facing serious continuous cropping problems. After continuous cropping, the growth and development of Pinellia ternata are hindered, the quality declines, and pests and diseases occur frequently and the damage becomes more serious, resulting in a continuous decrease in yield. At the same time, the planting soil becomes acidic, nutrients are sealed, and the microbial community structure is unbalanced. The same plot of land needs to be replanted every 7-8 years, which seriously limits the efficient use of land resources. In order to maintain production, farmers increase fertilizer application and abuse pesticides, which not only fails to cure the continuous cropping problem, but also causes agricultural product quality and safety problems and causes environmental pollution.

[0004] In addition, crops including Chinese medicinal materials such as Pinellia ternata, Radix Pseudostellariae, 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. In the study of the formation mechanism of continuous cropping problems, some studies have pointed out that changes in soil microbial communities are one of the important factors. Continuous cropping will reduce the number of beneficial microorganisms such as actinomycetes in the soil, while harmful microorganisms such as Fusarium will multiply in large numbers, changing the structure of soil microbial communities, inhibiting the growth of Pinellia ternata, and increasing the risk of disease. The deterioration of soil physical and chemical properties also plays a key role in continuous cropping problems. Long-term continuous cropping leads to soil acidification, affecting the effectiveness of nutrients in the soil, changing the form and content of elements such as nitrogen, phosphorus, and potassium, which is not conducive to the absorption and utilization of Pinellia ternata; at the same time, the imbalance of certain trace elements in the soil such as iron and zinc will also affect the normal growth and development of Pinellia ternata. In addition, autotoxicity is also considered to be a cause of continuous cropping problems. During their growth, Pinellia ternata, Psoralea corylifolia, Panax notoginseng, peanuts, tobacco, peppers, tomatoes, cucumbers, etc. secrete some allelopathic substances, such as phenolic acid compounds, into the soil. These substances accumulate in the soil and have a self-toxic effect on subsequently planted crops, inhibiting seed germination, root growth and plant metabolism.

[0005] However, there are still many deficiencies in the current research on the formation mechanism of crop continuous cropping obstacles. Although existing studies have found the above factors, the interaction between the factors is complex and has not yet been fully clarified. For example, the synergistic mechanism between changes in soil microbial communities and the deterioration of soil physical and chemical properties, as well as the interaction between self-toxic substances and soil microorganisms and physical and chemical properties, need to be further explored. This leads to a lack of sufficient theoretical support when formulating effective mitigation and regulation strategies.

[0006] In terms of reduction and regulation strategies, the existing measures have not been very effective. Crop rotation is restricted by land resources and planting habits, and it is difficult to implement on a large scale. Although soil conditioners can improve the soil environment to a certain extent, they have limited effect on the growth of crops with serious continuous cropping problems such as Pinellia ternata, and may even bring new environmental problems. Therefore, it has become a key task for the current development of the agricultural industry to fully reveal the formation mechanism of continuous cropping problems and establish scientific and effective reduction and regulation strategies on this basis. It is of great significance to ensure the sustainable development of the agricultural industry, improve the quality of agricultural products, and maintain the health of the agricultural ecological environment. Summary of the invention

[0007] The purpose of the present invention is to provide a method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information, 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. It overcomes the problems of crop growth inhibition, quality deterioration, and aggravation of pests and diseases caused by continuous cropping, avoids the problems of agricultural product quality safety and environmental pollution caused by blind fertilization and drug use, provides a scientific basis for optimizing crop planting management, and promotes sustainable agricultural development.

[0008] The scheme of the present invention is as follows:

[0009] Based on the first main aspect of the present invention, a method for monitoring the comprehensive growth and continuous cropping disorder index of crops based on electrical information is provided. 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. The parameters of these models are used to calculate the inherent resistance, inherent impedance, inherent capacitive reactance, inherent inductive reactance of crop leaves, as well as the intracellular water metabolism, nutrient transport capacity and plant metabolic activity of crops. The comprehensive growth index of crops is then calculated, and by comparing it with the comprehensive growth index of healthy plants, the occurrence of continuous cropping disorder of crops is judged, the continuous cropping disorder index of the tested plants is monitored, and online and real-time monitoring of crop health and early prediction of continuous cropping disorder of crops are achieved.

[0010] Specifically, the method comprises the following steps:

[0011] S1, leaf collection: Select mature leaves from the base of the plants to be tested and healthy plants as reference;

[0012] S2, electrical parameter measurement and calculation: Use the parallel mode of the LCR tester to measure the capacitance C, resistance R, impedance Z of the crop leaves under different clamping forces F, and calculate the capacitive reactance XC and inductive reactance XL of the crop leaves;

[0013] 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;

[0014] S4, inherent parameter calculation: according to the parameters obtained in step S3, the inherent resistance IR, the inherent impedance IZ, the inherent capacitive reactance IXC, the inherent inductive reactance IXL and the inherent capacitance IC of the crop leaves are calculated;

[0015] S5, calculation of physiological indicators: using inherent resistance IR, inherent impedance IZ, inherent capacitive reactance IXC, inherent inductive reactance IXL and inherent capacitance IC, calculate the relative water holding capacity IWHC, relative water holding time IWHT, water transport rate WTR or nutrient transport rate NTR, unit nutrient transport flux UNF, nutrient transport capacity NTC, unit nutrient active transport flux NAF, nutrient active transport capacity NAC, metabolic flux MF, metabolic rate MR, metabolic activity MA of crops;

[0016] S6, calculation of comprehensive growth index: according to the relative water holding capacity of intracellular water IWHC, relative water holding time of intracellular water IWHT, nutrient transport capacity NTC, nutrient active transport capacity NAC, metabolic activity MA of crops, the comprehensive growth index CGI of crops is calculated;

[0017] S7, continuous cropping obstacle assessment: judge the continuous cropping obstacle situation through the degree of decline of the comprehensive growth index CGI of the tested crops, and monitor the continuous cropping obstacle index COI.

[0018] As a further preferred solution, in step S2, the calculation formula of the capacitive reactance XC is as follows:

[0019] Where XC is the capacitive reactance, C is the capacitance, f is the test frequency, and π is the circumference of a circle;

[0020] The calculation formula of the inductive reactance XL is as follows:

[0021] Where R is resistance, Z is impedance, XL is inductive reactance, and XC is capacitive reactance.

[0022] 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 a 0 , k 0and b 0 are the fitting parameters of the model;

[0023] The impedance Z of crop leaves changes with the clamping force F as follows: where a 1 , k 1 and b 1 are the fitting parameters of the model;

[0024] The model of the capacitive reactance Xc of crop leaves changing with the clamping force F is: where a 2 , k 2 and b 2 are the fitting parameters of the model;

[0025] The model of the inductive reactance XL of crop leaves changing with the clamping force F is: where a 3 , k 3 and b 3 are the fitting parameters of the model.

[0026] The fitting parameters of the model are obtained by fitting multiple tests at different clamping forces. The range of different clamping forces is 1N to 7N. For example, in one embodiment, the different clamping forces F are 1.139N, 2.149N, 3.178N, 4.212N and 5.245N.

[0027] As a further preferred solution, in step S4, the calculation formula for obtaining the leaf inherent resistance IR of the crop in its natural state is: IR = a 0 +k 0 ;

[0028] The calculation formula for obtaining the inherent impedance IZ of crop leaves is: IZ = a 1 +k 1 ;

[0029] The calculation formula for obtaining the inherent capacitive reactance IXC of crop leaves is: IXC = a 2 +k 2 ;

[0030] The calculation formula for obtaining the intrinsic resistance IXL of crop leaves is: IXL = a 3 +b 3 ;

[0031] The calculation formula for obtaining the inherent capacitance IC of crop leaves is: Where IXC is the inherent capacitive reactance of crop leaves, f is the test frequency, and π is the circumference of a circle;

[0032] When the crops are in a natural state, the clamping force F=0N.

[0033] As a further preferred solution, in step S5, the calculation formula for calculating the relative water holding capacity IWHC of the intracellular water in the crop leaves is:

[0034] The calculation formula of relative water holding time IWHT of crop leaf cells is: IWHT = IC × IZ;

[0035] The calculation formula of crop leaf water transport rate WTR or nutrient transport rate NTR is:

[0036] WTR or

[0037] The calculation formula of unit nutrient transport flux UNF of crop leaves is:

[0038] The calculation formula of the nutrient transport capacity NTC of crop leaves is: NTC = UNF × NTR;

[0039] The calculation formula of NAF, the unit nutrient active transport flux of crop leaves, is:

[0040] The calculation formula of the active nutrient transport capacity NAC of crop leaves is: NAC = UAF × NTR;

[0041] The calculation formula of crop metabolic flux MF is:

[0042] The formula for calculating the crop metabolic rate MR is: MR = NTR × NAC;

[0043] The calculation formula of crop metabolic activity MA is:

[0044] As a further preferred solution, in step S6, the calculation formula for obtaining the crop comprehensive growth index CGI is:

[0045] As a further preferred solution, in step S7, the calculation formula for obtaining the crop continuous cropping obstacle index COI is: CGI i is the comprehensive growth index, CGI of the crops to be tested R It is used as a reference for the comprehensive growth index of healthy plants.

[0046] In all the above schemes, the crops include at least the Chinese medicinal materials Pinellia ternata, Radix Pseudostellariae, and Panax notoginseng, the grain and oil crops peanuts and tobacco, and the horticultural crops peppers, tomatoes, and cucumbers.

[0047] Based on the second main aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, characterized in that when the program is executed, the method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information as described in any one of claims 1 to 8 is implemented.

[0048] The present invention proposes an innovative technical solution for crop growth monitoring and continuous cropping obstacle assessment, which exhibits significant technical effects in many aspects and effectively promotes the development of the agricultural field.

[0049] First, the present invention can obtain the growth status of crops in real time by measuring the electrical 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.

[0050] Secondly, by constructing multiple models and a series of calculation formulas, the present invention converts the growth status of crops and the degree of continuous cropping obstacles into specific comprehensive growth index (CGI) and continuous cropping obstacle index (COI). These quantitative indices 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.

[0051] Third, the present invention can detect in advance the signs of crop growth being affected by continuous cropping obstacles by comparing the calculated comprehensive growth index with healthy plants. In the early stage of continuous cropping obstacles, the changes in the electrical information of the plants will be reflected in the comprehensive growth index and the continuous cropping obstacle index through models and calculations. Planters can take measures before the problem worsens, such as adjusting planting plans, improving soil, etc., to effectively reduce the harm of continuous cropping obstacles to crops and ensure crop yield and quality.

[0052] 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.

[0053] 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

[0054] Figure 1 A complete workflow diagram in one embodiment of the present invention is shown;

[0055] Figure 2 An LCR test device diagram and a parallel plate capacitor principle diagram in one embodiment of the present invention are shown;

[0056] 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

[0057] 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.

[0058] 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.

[0059] 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.

[0060] Embodiment 1:

[0061] 1.1 Experimental design

[0062] In the main production areas of Pinellia ternata, Radix Pseudostellariae and peanuts, soils from crops that had 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 name of the Pinellia ternata variety is "Hemayu No. 1", the Radix Pseudostellariae variety is "Gui Shen No. 1", and the peanut variety is Tongren Pearl Peanut.

[0063] 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.

[0064] 1.2 Monitoring methods

[0065] 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℃).

[0066] 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.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] According to the method of the present invention, the inherent physiological resistance IR, the inherent physiological impedance IZ, the inherent physiological capacitance IXC, the inherent physiological inductance IXL, the inherent physiological capacitance ICP, the relative water holding capacity of intracellular water IWHC, the relative water holding time of intracellular water IWHT, the intracellular water or nutrient transfer rate STR, the active nutrient transport flow rate UAF per unit area of ​​leaves, the active nutrient transport capacity NAC of crop leaves, the nutrient transport flow rate UNF per unit area of ​​leaves, the nutrient transport capacity NTC of crop leaves, the metabolic flow MF of crop leaves, the metabolic rate MR of crop leaves, the relative metabolic activity MA of crops, the comprehensive growth index CGI of crops and the continuous cropping obstacle index COI of crops are calculated.

[0071] 1.2 Monitoring results

[0072] 1.2.1 Pinellia tuber embodiment:

[0073] The parameters of the fitting equations between the resistance, impedance, inductive reactance and capacitive reactance of Pinellia ternata plants with different continuous cropping years and the clamping force are shown in Table 1. The correlation coefficient R 2 All of them are above 0.99, indicating that the fitting equation is good, and further confirming that the theoretical relationship between the resistance, impedance, inductive reactance and capacitive reactance of Pinellia ternata plants and the clamping force is a three-parameter exponential decline model.

[0074] Table 1 Parameters of the fitting equations between resistance, impedance, inductive reactance, capacitive reactance and clamping force of Pinellia ternata plants in different continuous cropping years

[0075]

[0076] Generally, well-grown Pinellia ternata has the characteristics of high capacitance, low resistance, low impedance, low capacitive reactance and low inductive reactance. The inherent resistance IR, inherent impedance IZ, inherent capacitive reactance IXC, inherent inductive reactance IXL and inherent physiological capacitance IC of Pinellia ternata plants with different continuous cropping years are shown in Table 2. With the extension of continuous cropping years, the inherent resistance IR, inherent impedance IZ, inherent capacitive reactance IXC and inherent inductive reactance IXL of Pinellia ternata gradually increase, and the inherent capacitance IC gradually decreases. This shows that with the increase of continuous cropping obstacles, the growth of Pinellia ternata is inhibited.

[0077] Table 2 Intrinsic resistance IR, inherent impedance IZ, inherent capacitive reactance IXC, inherent inductive reactance IXL and inherent capacitance IC of Pinellia ternata plants in different continuous cropping years

[0078]

[0079] The relative intracellular water holding capacity IWHC, relative intracellular water holding time IWHT, intracellular water or nutrient transfer rate WTR or NTR, unit nutrient transport flux UNF, nutrient transport capacity NTC, unit nutrient active transport flux NAF, and nutrient active transport capacity NAC of Pinellia ternata plants with different continuous cropping years are shown in Table 3. With the extension of continuous cropping years, the IWHC, IWHT, WTR or NTR, UAF, NAC and NTC of Pinellia ternata gradually decreased, indicating that with the increase of continuous cropping obstacle stress, the intracellular water metabolism and nutrient transport of Pinellia ternata were inhibited.

[0080] Table 3 Relative intracellular water holding capacity IWHC, relative intracellular water holding time IWHT, intracellular water or nutrient transfer rate WTR or NTR, unit nutrient transport flux UNF, nutrient transport capacity NTC, unit nutrient active transport flux NAF, nutrient active transport capacity NAC of Pinellia ternata plants with different continuous cropping years

[0081]

[0082] The leaf metabolic flux MF, leaf metabolic rate MR, relative metabolic activity MA, comprehensive growth index CGI, and continuous cropping obstacle index COI of Pinellia ternata at different continuous cropping years are shown in Table 4. With the extension of continuous cropping years, MF, MR, MA, and CGI of Pinellia ternata gradually decreased, while the continuous cropping obstacle index COI gradually increased. This shows that with the increase of continuous cropping obstacle stress, the metabolism, growth, and health of Pinellia ternata are inhibited. The electrophysiological comprehensive growth index CGI and continuous cropping obstacle index COI of Pinellia ternata can also well characterize the continuous cropping obstacle status of Pinellia ternata, providing an effective and accurate method for real-time monitoring of continuous cropping obstacle of Pinellia ternata.

[0083] Table 4 Metabolic flux MF of Pinellia ternata leaves, metabolic rate MR of Pinellia ternata leaves, relative metabolic activity MA of Pinellia ternata, comprehensive growth index CGI of Pinellia ternata, and continuous cropping obstacle index COI of Pinellia ternata in different continuous cropping years

[0084]

[0085] 1.2.2 Pseudostellariae Radix Example:

[0086] 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 5. 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.

[0087] Table 5 Parameters of the fitting equations between resistance, impedance, inductive reactance, capacitive reactance and clamping force of Radix Pseudostellariae Radix in different continuous cropping years

[0088]

[0089] Generally, a well-grown Pseudostellaria heterophylla has the characteristics of high capacitance, low resistance, low impedance, low capacitive reactance and low inductive reactance. The inherent resistance IR, inherent impedance IZ, inherent capacitive reactance IXC, inherent inductive reactance IXL and inherent physiological capacitance IC of Pseudostellaria heterophylla plants with different continuous cropping years are shown in Table 6. With the extension of continuous cropping years, the inherent resistance IR, inherent impedance IZ, inherent capacitive reactance IXC and inherent inductive reactance IXL of Pseudostellaria heterophylla gradually increase, and the inherent capacitance IC gradually decreases. This shows that with the increase of continuous cropping obstacles, the growth of Pseudostellaria heterophylla is inhibited.

[0090] Table 6 Intrinsic resistance IR, inherent impedance IZ, inherent capacitive reactance IXC, inherent inductive reactance IXL and inherent capacitance IC of Radix Pseudostellariae plants with different continuous cropping years

[0091]

[0092] The relative intracellular water holding capacity IWHC, relative intracellular water holding time IWHT, intracellular water or nutrient transfer rate WTR or NTR, unit nutrient transport flux UNF, nutrient transport capacity NTC, unit nutrient active transport flux NAF, and nutrient active transport capacity NAC of Pseudostellaria heterophylla plants with different continuous cropping years are shown in Table 7. With the extension of continuous cropping years, the IWHC, IWHT, WTR or NTR, UAF, NAC and NTC of Pseudostellaria heterophylla gradually decreased, indicating that with the increase of continuous cropping obstacle stress, the intracellular water metabolism and nutrient transport of Pseudostellaria heterophylla were inhibited.

[0093] Table 7 Relative intracellular water holding capacity IWHC, relative intracellular water holding time IWHT, intracellular water or nutrient transfer rate WTR or NTR, unit nutrient transport flux UNF, nutrient transport capacity NTC, unit nutrient active transport flux NAF, nutrient active transport capacity NAC of Pseudostellaria heterophylla plants with different continuous cropping years

[0094]

[0095] The leaf metabolic flux MF, leaf metabolic rate MR, relative metabolic activity MA, comprehensive growth index CGI, and continuous cropping obstacle index COI of Pseudostellariae Radix with different continuous cropping years are shown in Table 8. With the extension of continuous cropping years, MF, MR, MA, and CGI of Pseudostellariae Radix gradually decreased, while the continuous cropping obstacle index COI gradually increased. This shows that with the increase of continuous cropping obstacle stress, the metabolism, growth, and health of Pseudostellariae Radix are inhibited. The electrophysiological comprehensive growth index CGI and continuous cropping obstacle index COI of Pseudostellariae Radix can also well characterize the continuous cropping obstacle status of Pseudostellariae Radix, providing an effective and accurate method for real-time monitoring of continuous cropping obstacle of Pseudostellariae Radix.

[0096] Table 8 Metabolic flux MF of Pseudostellariae Radix in leaves, metabolic rate MR of Pseudostellariae Radix in leaves, relative metabolic activity MA of Pseudostellariae Radix, comprehensive growth index CGI of Pseudostellariae Radix, and continuous cropping obstacle index COI of Pseudostellariae Radix in different continuous cropping years

[0097]

[0098] 1.2.3 Peanut Example:

[0099] 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 9. 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.

[0100] Table 9 Parameters of fitting equations between resistance, impedance, inductive reactance, capacitive reactance and clamping force of peanut plants in different continuous cropping years

[0101]

[0102] Generally, well-grown peanuts have the characteristics of high capacitance, low resistance, low impedance, low capacitive reactance and low inductive reactance. The inherent resistance IR, inherent impedance IZ, inherent capacitive reactance IXC, inherent inductive reactance IXL and inherent physiological capacitance IC of peanut plants with different continuous cropping years are shown in Table 10. With the extension of continuous cropping years, the inherent resistance IR, inherent impedance IZ, inherent capacitive reactance IXC and inherent inductive reactance IXL of peanuts gradually increase, and the inherent capacitance IC gradually decreases. This shows that with the increase of continuous cropping obstacles, the growth of peanuts is inhibited.

[0103] Table 10 Intrinsic resistance IR, inherent impedance IZ, inherent capacitive reactance IXC, inherent inductive reactance IXL and inherent capacitance IC of peanut plants in different continuous cropping years

[0104]

[0105] The relative intracellular water holding capacity IWHC, relative intracellular water holding time IWHT, intracellular water or nutrient transfer rate WTR or NTR, unit nutrient transport flux UNF, nutrient transport capacity NTC, unit nutrient active transport flux NAF, and nutrient active transport capacity NAC of peanut plants with different continuous cropping years are shown in Table 11. With the extension of continuous cropping years, the IWHC, IWHT, WTR or NTR, UAF, NAC and NTC of peanut gradually decreased, indicating that with the increase of continuous cropping obstacle stress, the intracellular water metabolism and nutrient transport of peanut were inhibited.

[0106] Table 11 Relative intracellular water holding capacity IWHC, relative intracellular water holding time IWHT, intracellular water or nutrient transfer rate WTR or NTR, unit nutrient transport flux UNF, nutrient transport capacity NTC, unit nutrient active transport flux NAF, nutrient active transport capacity NAC of peanut plants in different continuous cropping years

[0107]

[0108] The peanut leaf metabolic flux MF, peanut leaf metabolic rate MR, peanut relative metabolic activity MA, peanut comprehensive growth index CGI, and peanut continuous cropping obstacle index COI of different continuous cropping years are shown in Table 12. With the extension of continuous cropping years, peanut MF, MR, MA and CGI gradually decreased, and the continuous cropping obstacle index COI gradually increased. This shows that with the increase of continuous cropping obstacle stress, the metabolism, growth and health of peanuts are inhibited. The electrophysiological peanut comprehensive growth index CGI and continuous cropping obstacle index COI can also well characterize the continuous cropping obstacle status of peanuts, providing an effective and accurate method for real-time monitoring of peanut continuous cropping obstacles.

[0109] Table 12 Peanut leaf metabolic flux MF, peanut leaf metabolic rate MR, peanut relative metabolic activity MA, peanut comprehensive growth index CGI, peanut continuous cropping obstacle index COI in different continuous cropping years

[0110]

[0111] The matters not described in detail in the present invention are all known technologies to those skilled in the art.

[0112] 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 the comprehensive growth and continuous cropping obstacle index of crops based on electrical information, 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 how the resistance, impedance, capacitive reactance and inductive reactance of crop leaves change with clamping force. The parameters of these models are used to calculate the inherent resistance, inherent impedance, inherent capacitive reactance, inherent inductive reactance of crop leaves, as well as the intracellular water metabolism, nutrient transport capacity and plant metabolic activity of crops. The method then calculates the comprehensive growth index of crops, and by comparing it with the comprehensive growth index of healthy plants, determines the occurrence of crop continuous cropping disorder, monitors the continuous cropping disorder index of the tested plants, and realizes online and real-time monitoring of crop health and early prediction of crop continuous cropping disorder.

2. The method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information according to claim 1, characterized in that: The method comprises the following steps: S1, leaf collection: Select mature leaves from the base of the plants to be tested and healthy plants as reference; S2, electrical parameter measurement and calculation: Use the parallel mode of the LCR tester to measure the capacitance C, resistance R, impedance Z of the crop leaves under different clamping forces F, and calculate the capacitive reactance XC and inductive reactance XL of the crop leaves; 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, inherent parameter calculation: according to the parameters obtained in step S3, the inherent resistance IR, the inherent impedance IZ, the inherent capacitive reactance IXC, the inherent inductive reactance IXL and the inherent capacitance IC of the crop leaves are calculated; S5, calculation of physiological indicators: using inherent resistance IR, inherent impedance IZ, inherent capacitive reactance IXC, inherent inductive reactance IXL and inherent capacitance IC, calculate the relative water holding capacity IWHC, relative water holding time IWHT, water transport rate WTR or nutrient transport rate NTR, unit nutrient transport flux UNF, nutrient transport capacity NTC, unit nutrient active transport flux NAF, nutrient active transport capacity NAC, metabolic flux MF, metabolic rate MR, metabolic activity MA of crops; S6, calculation of comprehensive growth index: according to the relative water holding capacity of intracellular water IWHC, relative water holding time of intracellular water IWHT, nutrient transport capacity NTC, nutrient active transport capacity NAC, metabolic activity MA of crops, the comprehensive growth index CGI of crops is calculated; S7, continuous cropping obstacle assessment: judge the continuous cropping obstacle situation through the degree of decline of the comprehensive growth index CGI of the tested crops, and monitor the continuous cropping obstacle index COI.

3. The method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information 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 the comprehensive growth and continuous cropping obstacle index of crops based on electrical information 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 the comprehensive growth and continuous cropping obstacle index of crops based on electrical information according to claim 4, characterized in that: In step S4, the calculation formula for obtaining the leaf inherent resistance IR of the crop in the natural state is: IR = a0 + k0; The calculation formula for obtaining the inherent impedance IZ of crop leaves is: IZ = a1 + k1; The calculation formula for obtaining the inherent capacitive reactance IXC of crop leaves is: IXC = a2 + k2; The calculation formula for obtaining the intrinsic inductive resistance IXL of crop leaves is: IXL = a3 + b3; The calculation formula for obtaining the inherent capacitance IC of crop leaves is: Where IXC is the inherent capacitive reactance of crop leaves, f is the test frequency, and π is the circumference of a circle; When the crops are in a natural state, the clamping force F=0N.

6. The method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information according to claim 5, characterized in that: In step S5, the calculation formula for calculating the relative water holding capacity IWHC of crop leaves is: The calculation formula of relative water holding time IWHT of crop leaf cells is: IWHT = IC × IZ; The calculation formula of crop leaf water transport rate WTR or nutrient transport rate NTR is: WTR or The calculation formula of unit nutrient transport flux UNF of crop leaves is: The calculation formula of the nutrient transport capacity NTC of crop leaves is: NTC = UNF × NTR; The calculation formula of NAF, the unit nutrient active transport flux of crop leaves, is: The calculation formula of the active nutrient transport capacity NAC of crop leaves is: NAC = UAF × NTR; The calculation formula of crop metabolic flux MF is: The calculation formula of crop metabolic rate MR is: MR = NTR × NAC; The calculation formula of crop metabolic activity MA is:

7. The method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information according to claim 6, characterized in that: In step S6, the calculation formula for obtaining the crop comprehensive growth index CGI is:

8. The method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information according to claim 7, characterized in that: In step S7, the calculation formula for obtaining the crop continuous cropping obstacle index COI is: CGI i is the comprehensive growth index of the crops to be tested, CGI R It is used as a reference for the comprehensive growth index of healthy plants.

9. The method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information according to any one of claims 1 to 8, characterized in that: The crops include at least the Chinese medicinal materials Pinellia ternata, Radix Pseudostellariae, and Panax notoginseng, the grain and oil crops peanut and tobacco, and the horticultural crops pepper, tomato, and cucumber.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed, the method for monitoring the comprehensive growth and continuous cropping obstacle index of crops based on electrical information as described in any one of claims 1 to 8 is implemented.

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