Garden plant pest and disease monitoring system

Abstract

The present invention relates to the technical field of plant disease monitoring, and in particular to a garden plant pest and disease monitoring system. The present invention first corrects the concentration of plant-derived volatile organic compounds at the sampling moment according to the first-stage possibility and the second-stage possibility at the sampling moment, as well as the time-series changes in the concentration of plant-derived volatile organic compounds and ozone concentration corresponding to all surrounding moments at the sampling moment, and obtains the corrected concentration of plant-derived volatile organic compounds at each sampling moment; and obtains the possibility of pests and diseases in the sampling interval to be analyzed according to the similarity of environmental information between the sampling interval to be analyzed and the historical sampling interval, and the difference in the corrected concentration of plant-derived volatile organic compounds. The present invention corrects the concentration of plant-derived volatile organic compounds so that the possibility of pests and diseases can more accurately represent the possibility of pests and diseases occurring in the sampling interval to be analyzed, thereby improving the monitoring effect of garden plant pests and diseases.

Description

Technical Field

[0001] The invention relates to the technical field of plant disease monitoring, and in particular to a garden plant disease and insect pest monitoring system. Background Art

[0002] Gardens are part of the urban ecosystem and can improve the comfort and beauty of living and working environments. Plants in gardens are vulnerable to pests and diseases, and pests and diseases spread quickly in gardens. If they are not prevented and controlled in time, large areas of tree leaves will turn yellow or even die. Analyzing the damage of garden plants to pests and diseases is crucial for garden pest and disease control.

[0003] Plant BVOCs (Biogenic Volatile Organic Compounds) are a type of defensive organic matter released by plants. When plants are attacked by herbivorous insects, they can resist the attacks of herbivorous insects by releasing BVOCs to attract parasitic insects and natural enemies; when plants are attacked by pathogens, BVOCs can also directly induce the activation of the plant's defense system to resist the invasion of pathogens. Existing technologies determine the extent to which plants are attacked by pests and diseases by monitoring the concentration of BVOCs released by plants. However, since the BVOCs released by plants easily react with nitrogen oxides in the air, it is difficult to accurately reflect the concentration of plant volatile organic compounds actually released by the plants by monitoring the concentration of BVOCs released by the plants, which leads to unreliable pest and disease analysis and difficulty in ensuring the accuracy of garden plant pest and disease monitoring. Summary of the invention

[0004] In order to solve the technical problem that the plant-derived volatile organic compounds monitored by the prior art cannot accurately reflect the concentration of plant volatile organic compounds actually released by plants, which makes it difficult to ensure the accuracy of garden plant pest monitoring, the purpose of the present invention is to provide a garden plant pest monitoring system, and the technical scheme adopted is as follows:

[0005] A garden plant pest and disease monitoring system, the system comprising:

[0006] A data acquisition module is used to: acquire a concentration data set and environmental information of the sampling interval to be analyzed and each historical sampling interval; the concentration data set includes the concentration of plant-derived volatile organic compounds, nitric oxide concentration, nitrogen dioxide concentration and ozone concentration at each sampling moment;

[0007] A data correction module is used to: obtain the first-stage possibility and the second-stage possibility of the sampling moment according to the time-series changes of the nitric oxide concentration and the nitric dioxide concentration corresponding to all surrounding moments of the sampling moment, and the correlation between the nitric oxide concentration, the nitric dioxide concentration and the ozone concentration corresponding to all surrounding moments of the sampling moment; correct the plant-derived volatile organic compound concentration at the sampling moment according to the first-stage possibility and the second-stage possibility of the sampling moment, and the time-series changes of the plant-derived volatile organic compound concentration and the ozone concentration corresponding to all surrounding moments of the sampling moment, and obtain the corrected plant-derived volatile organic compound concentration at each sampling moment; the first stage includes: consuming plant-derived volatile organic compounds and nitric oxide to produce nitrogen dioxide; the second stage includes: consuming nitrogen dioxide to produce nitric oxide and ozone;

[0008] The pest and disease analysis module is used to obtain the possibility of pests and diseases in the sampling interval to be analyzed based on the similarity of environmental information between the sampling interval to be analyzed and the historical sampling interval, as well as the difference in the concentration of corrected plant-derived volatile organic compounds.

[0009] Furthermore, the method for obtaining the first stage possibility and the second stage possibility of the sampling time includes:

[0010] Obtaining a suspected first reaction stage indicator and a suspected second reaction stage indicator at the sampling moment according to the time series changes of the nitric oxide concentration and the nitrogen dioxide concentration corresponding to all surrounding moments of the sampling moment;

[0011] According to the correlation between the nitric oxide concentration, nitrogen dioxide concentration and ozone concentration corresponding to all surrounding moments at the sampling moment, the first-stage related indicators and the second-stage related indicators at the sampling moment are obtained;

[0012] According to the suspected first reaction stage indicator and the first stage related indicator, the first stage possibility at the sampling time is obtained; the suspected first reaction stage indicator, the first stage related indicator and the first stage possibility are positively correlated;

[0013] The second stage possibility at the sampling time is obtained according to the suspected second reaction stage indicator and the second stage related indicator; the suspected second reaction stage indicator, the second stage related indicator and the second stage possibility are positively correlated.

[0014] Furthermore, the method for obtaining the suspected first reaction stage indicator and the suspected second reaction stage indicator at the sampling time includes:

[0015] Obtaining a nitric oxide decrease index at the sampling moment according to the difference between the nitric oxide concentration at each surrounding moment of the sampling moment and the next surrounding moment;

[0016] Obtaining a nitrogen dioxide rise index at the sampling moment according to the difference between the nitrogen dioxide concentration at each surrounding moment of the sampling moment and the previous surrounding moment;

[0017] According to the nitric oxide decrease index and the nitrogen dioxide increase index, the suspected first reaction stage index and the suspected second reaction stage index at the sampling time are obtained.

[0018] Further, according to the nitric oxide decrease index and the nitrogen dioxide increase index, the method for obtaining the suspected first reaction stage index and the suspected second reaction stage index at the sampling time includes:

[0019] Calculate the product of the nitric oxide decrease index and the nitrogen dioxide increase index, perform proportional normalization on the product, obtain the suspected first reaction stage index at the sampling time, calculate the difference between 1 and the suspected first reaction stage index, and obtain the suspected second reaction stage index at the sampling time.

[0020] Furthermore, the method for obtaining the first-stage related indicators and the second-stage related indicators includes:

[0021] The concentrations of nitric oxide, nitrogen dioxide and ozone at all surrounding moments of the sampling moment are counted in turn to obtain the local nitric oxide concentration time series data, local nitrogen dioxide concentration time series data and local ozone concentration time series data at the sampling moment; the inverse of the Pearson correlation coefficient of the local nitric oxide concentration time series data and the local nitrogen dioxide concentration time series data at the sampling moment is calculated to obtain the first parameter; the Pearson correlation coefficient of the local nitric oxide concentration time series data and the local ozone concentration time series data is calculated to obtain the second parameter; the first parameter is used as the first-stage related index; the mean of the first parameter and the second parameter is calculated to obtain the second-stage related index.

[0022] Furthermore, the method for obtaining the corrected concentration of plant-derived volatile organic compounds at each sampling moment includes:

[0023] According to the first stage possibility and the second stage possibility of the sampling moment, the sampling moment is divided into a reaction stage moment and a time without adjustment;

[0024] When no adjustment is needed, the concentration of plant-derived volatile organic compounds is directly used as the corrected concentration of plant-derived volatile organic compounds;

[0025] At the reaction stage, according to the first stage possibility, the second stage possibility, and the time series changes of the concentration of plant-derived volatile organic compounds and the concentration of ozone at all surrounding moments of the reaction stage, the reaction intensity parameter at the reaction stage is obtained;

[0026] According to the reaction intensity parameter at the reaction stage, the concentration of the plant-derived volatile organic matter at the reaction stage is corrected to obtain the corrected concentration of the plant-derived volatile organic matter at the reaction stage.

[0027] Furthermore, the method for obtaining the reaction intensity parameter includes:

[0028] Obtaining a reduction index of plant-derived volatile organic compounds at the reaction stage moment according to the difference between the concentration of the plant-derived volatile organic compounds at each surrounding moment of the reaction stage moment and the next surrounding moment;

[0029] Obtaining an ozone rise index at the reaction stage moment according to the difference between the ozone concentration at each surrounding moment of the reaction stage moment and the previous surrounding moment;

[0030] According to the first stage possibility and the second stage possibility at the reaction stage, the stage possibility index at the reaction stage is obtained;

[0031] According to the plant-derived volatile organic compound decrease index, the ozone increase index and the stage possibility index at the reaction stage, the reaction intensity parameter at the reaction stage is obtained.

[0032] Furthermore, the method for obtaining the possibility of pests and diseases includes:

[0033] According to the similarity of the environmental information of the sampling interval to be analyzed and each historical sampling interval, the environmental similarity of each historical sampling interval is obtained;

[0034] Based on the environmental similarity of the historical sampling intervals and the degree of difference in all corrected plant-derived volatile organic compound concentrations between the historical sampling intervals and the sampling intervals to be analyzed, the possibility of pests and diseases in the sampling interval to be analyzed is obtained.

[0035] Furthermore, the method for obtaining the environmental similarity includes:

[0036] The environmental information includes a value of each environmental condition; the value of the environmental condition includes an environmental temperature value and an environmental humidity value;

[0037] Calculate the absolute value of the difference between the sampling interval to be analyzed and the values ​​of each historical sampling interval corresponding to each environmental condition to obtain the environmental difference index of each environmental condition;

[0038] The mean of the environmental difference index of all environmental conditions is calculated, and the mean is inversely normalized to obtain the environmental similarity of the historical sampling interval.

[0039] Furthermore, according to the environmental similarity of the historical sampling interval and the difference degree of all corrected plant-derived volatile organic compound concentrations between the historical sampling interval and the sampling interval to be analyzed, the method for obtaining the possibility of pests and diseases in the sampling interval to be analyzed includes:

[0040] Sort the historical sampling intervals according to the degree of environmental similarity, and use the historical sampling intervals of the preset reference quantity as each historical environmental similarity interval;

[0041] Calculate the average of the corrected plant-derived volatile organic compound concentrations corresponding to all sampling moments in the sampling interval to be analyzed as the overall organic compound concentration in the sampling interval to be analyzed;

[0042] Calculate the mean of the corrected plant-derived volatile organic compound concentrations corresponding to all sampling moments in the historical environmental similarity interval as the overall organic matter concentration in the historical environmental similarity interval;

[0043] Calculate the absolute value of the difference between the overall organic matter concentration of the sampling interval to be analyzed and the interval with similar historical environment to obtain the disease difference degree of the interval with similar historical environment;

[0044] The mean of the product of disease difference and environmental similarity in all historical environmentally similar intervals was calculated to obtain the possibility of pests and diseases in the sampling interval to be analyzed.

[0045] The present invention has the following beneficial effects:

[0046] The main purpose of the present invention is to improve the accuracy of garden plant pest monitoring. Considering that the concentration of plant volatile organic compounds will increase when pests and diseases occur, the concentration of plant volatile organic compounds can reflect the occurrence of pests and diseases. At the same time, considering that plant volatile organic compounds may react chemically with nitrogen oxides in the air, it is difficult for the concentration of plant volatile organic compounds to accurately reflect the concentration of plant volatile organic compounds actually released by the plant, resulting in unreliable reflection of the pest and disease situation. By analyzing the consumption, generation and intermediate conversion of the chemical reaction process, the concentration of plant-derived volatile organic compounds is corrected, so that the corrected concentration of plant-derived volatile organic compounds more accurately reflects the concentration of plant volatile organic compounds actually released by the plant, and can better reflect the garden pest and disease situation. Considering that the concentration of plant-derived volatile organic compounds in the historical sampling interval reflects the plant health status corresponding to the concentration of plant-derived volatile organic compounds, and considering that under the premise of similar environments, the greater the difference in the concentration of plant-derived volatile organic compounds actually released by plants in all historical sampling intervals and the sampling interval to be analyzed, the greater the possibility of pests and diseases in the sampling interval to be analyzed, the probability of pests and diseases in the sampling interval to be analyzed is obtained. The probability of pests and diseases can more accurately indicate the possibility of pests and diseases in the sampling interval to be analyzed, improve the accuracy of garden plant pest and disease analysis, and improve the monitoring effect of garden plant pests and diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 A system block diagram of a garden plant pest and disease monitoring system provided by an embodiment of the present invention;

[0049] Figure 2 A flow chart of a method for obtaining a first-stage possibility and a second-stage possibility provided by an embodiment of the present invention;

[0050] Figure 3 A flow chart of a method for obtaining a corrected concentration of plant-derived volatile organic compounds provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a garden plant pest monitoring system proposed by the present invention, its specific implementation, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0052] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0053] The specific scheme of a garden plant disease and insect pest monitoring system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0054] The present invention provides a system for monitoring plant diseases and insect pests. Figure 1 , which shows a system block diagram of a garden plant pest and disease monitoring system provided by an embodiment of the present invention. The system includes: a data acquisition module 101, a data correction module 102, and a pest and disease analysis module 103.

[0055] The data acquisition module 101 is used to obtain the concentration data set and environmental information of the sampling interval to be analyzed and each historical sampling interval; the concentration data set includes the concentration of plant-derived volatile organic compounds, nitric oxide concentration, nitrogen dioxide concentration and ozone concentration at each sampling time.

[0056] The main purpose of the present invention is to improve the monitoring accuracy of garden plant diseases and insect pests. Taking into account that plant-derived volatile organic compounds will react with nitrogen oxides in the air and the environment will affect the reaction rate, the concentration data set of the sampling interval to be analyzed and each historical sampling interval and the environmental information are obtained to facilitate the subsequent better analysis of the extent of garden plant diseases and insect pests.

[0057] Considering that plant-derived volatile organic compounds are easy to react with nitrogen oxides in the air to produce ozone, wherein nitrogen oxides are mainly composed of nitric oxide and nitrogen dioxide, a concentration data set of a sampling interval to be analyzed and each historical sampling interval is obtained from the garden intelligent monitoring system. Specifically, the garden intelligent monitoring system collects the concentration of nitric oxide and nitrogen dioxide through chemical sensors installed on trees; collects the concentration of plant-derived volatile organic compounds through SIFT-MS (Selective Ion Flow Tube Mass Spectrometry); collects the concentration of ozone through an ozone analyzer installed near the ground; synchronously samples the concentration of plant-derived volatile organic compounds, nitric oxide, nitrogen dioxide and ozone at a preset frequency, and takes all sampling moments in a preset time range as a sampling interval. In one embodiment of the present invention, all sampling moments between the current moment and the preset time range before the current moment are selected as the sampling interval to be analyzed, and the remaining sampling intervals are taken as historical sampling intervals, that is, the concentration data set of the sampling interval to be analyzed and each historical sampling interval is obtained. It should be noted that plant-derived volatile organic matter is composed of a variety of organic compounds, all of which are similar to the chemical conversion process of nitrogen oxides in the air. In the present invention, the concentration of any one of the organic compounds in the plant-derived volatile organic matter is taken as the concentration of plant-derived volatile organic matter, among which isoprene is the main component of plant-derived volatile organic matter. In the present invention, the concentration of isoprene is used as an example for illustration.

[0058] Considering that the environment will affect the reaction rate, the environmental information of the sampling interval to be analyzed and each historical sampling interval is obtained from the garden intelligent monitoring system. Specifically, the environmental information in the present invention includes: environmental temperature value and environmental humidity value. The temperature sensor and humidity sensor installed on the tree are sampled according to the preset frequency to obtain the temperature value and humidity value at the sampling time; the average of the temperature values ​​at all sampling times in the sampling interval is used as the environmental temperature value of the sampling interval; the average of the humidity values ​​at all sampling times in the sampling interval is used as the environmental humidity value of the sampling interval; that is, the environmental information of the sampling interval to be analyzed and each historical sampling interval is obtained.

[0059] It should be noted that, in one embodiment of the present invention, sampling is performed according to a preset frequency, each sampling is taken as a sampling moment, the preset frequency is 1 second each time, and the preset time range is 1 hour. It should be noted that, in order to facilitate calculations, all indicator data involved in the calculations in the embodiments of the present invention are subjected to data preprocessing to eliminate the dimension effect. The specific means of removing the dimension effect are technical means well known to those skilled in the art and are not limited here.

[0060] The data correction module 102 is used to: obtain the first-stage possibility and the second-stage possibility at the sampling moment according to the time-series changes of the nitric oxide concentration and the nitric dioxide concentration corresponding to all the surrounding moments of the sampling moment, and the correlation between the nitric oxide concentration, the nitric dioxide concentration and the ozone concentration corresponding to all the surrounding moments of the sampling moment; correct the plant-derived volatile organic compound concentration at the sampling moment according to the first-stage possibility and the second-stage possibility at the sampling moment, and the time-series changes of the plant-derived volatile organic compound concentration and the ozone concentration corresponding to all the surrounding moments of the sampling moment, and obtain the corrected plant-derived volatile organic compound concentration at each sampling moment; the first stage includes: consuming plant-derived volatile organic compounds and nitric oxide to produce nitrogen dioxide; the second stage includes: consuming nitrogen dioxide to produce nitric oxide and ozone.

[0061] The main purpose of the present invention is to improve the monitoring accuracy of garden plant diseases and insect pests. Considering that the concentration of plant volatile organic compounds will increase when diseases and insect pests occur, the concentration of plant volatile organic compounds can reflect the occurrence of diseases and insect pests. At the same time, considering that plant volatile organic compounds may react chemically with nitrogen oxides in the air, the monitored concentration of plant volatile organic compounds is difficult to accurately reflect the concentration of plant volatile organic compounds actually released by the plants, thereby causing the monitoring of diseases and insect pests to be unreliable. By analyzing the consumption, generation and intermediate conversion of the chemical reaction process, the concentration of plant-derived volatile organic compounds is corrected, so that the corrected concentration of plant-derived volatile organic compounds more accurately reflects the garden disease and insect pest situation.

[0062] Considering that plant volatile organic compounds may react chemically with nitrogen oxides in the air, in order to analyze the possibility of chemical reaction of plant volatile organic compounds corresponding to the sampling moment, it is necessary to obtain the sampling moments around the sampling moment for subsequent analysis of the characteristics of the sampling moment. In order to determine the sampling moments around the sampling moment, in one embodiment of the present invention, the method of obtaining all surrounding moments of the sampling moment includes:

[0063] The preset number of sampling moments surrounding the sampling moment and the sampling moment are taken as all surrounding moments of the sampling moment, wherein all surrounding moments include the sampling moment. In one embodiment of the present invention, the preset number of surrounding moments is 10, and the implementer can set it according to the implementation scenario.

[0064] Considering that the specific reaction process of isoprene with nitrogen oxides in the air includes two stages: the first stage: isoprene reacts with OH free radicals to produce organic peroxyl free radicals , organic peroxyl radicals It reacts with nitric oxide (NO) to produce nitrogen dioxide . Stage 2: Nitrogen Dioxide It will be decomposed by light into nitric oxide (NO) and ground-state oxygen atoms, which will quickly react with oxygen. Combined to generate ozone In this reaction process, nitric oxide NO and nitrogen dioxide Cycle, nitric oxide NO and nitrogen dioxide The relative concentration of will change, but the total amount will remain basically unchanged, isoprene will be consumed, ozone In order to analyze the degree to which the sampling time conforms to the reaction characteristics of the first and second stages, the first stage possibility and the second stage possibility are constructed. Figure 2 , which shows a flow chart of a method for obtaining the first-stage possibility and the second-stage possibility in one embodiment of the present invention. Preferably, in one embodiment of the present invention, the method for obtaining the first-stage possibility and the second-stage possibility at the sampling moment includes:

[0065] Step S201: Obtain the suspected first reaction stage indicator and the suspected second reaction stage indicator at the sampling moment according to the time series changes of the nitric oxide concentration and the nitrogen dioxide concentration corresponding to all surrounding moments of the sampling moment.

[0066] Considering that the concentration of nitric oxide will decrease and that of nitrogen dioxide will increase in the first stage, and that the concentration of nitric oxide will increase and that of nitrogen dioxide will decrease in the second stage, the suspected first reaction stage index and the suspected second reaction stage index at the sampling time are obtained. The larger the suspected first reaction stage index, the greater the degree to which the reaction sampling time initially meets the reaction characteristics of the first stage; the larger the suspected second reaction stage index, the greater the degree to which the reaction sampling time initially meets the reaction characteristics of the second stage.

[0067] In one embodiment of the present invention, a method for obtaining a suspected first reaction stage indicator and a suspected second reaction stage indicator at a sampling time includes:

[0068] According to the difference between the nitric oxide concentration at each surrounding moment of the sampling moment and the surrounding moment after the sampling moment, the nitric oxide decrease index at the sampling moment is obtained; according to the difference between the nitrogen dioxide concentration at each surrounding moment of the sampling moment and the surrounding moment before the sampling moment, the nitrogen dioxide increase index at the sampling moment is obtained; according to the nitric oxide decrease index and the nitrogen dioxide increase index, the suspected first reaction stage index and the suspected second reaction stage index at the sampling moment are obtained.

[0069] Specifically for the above steps, the difference between the concentration of nitric oxide at each surrounding moment and the surrounding moment after it is calculated to obtain the local decrease parameter of nitric oxide at each surrounding moment; the mean of the local decrease parameter of nitric oxide at all surrounding moments of the sampling moment is calculated to obtain the nitric oxide decrease index at the sampling moment. The difference between the concentration of nitrogen dioxide at each surrounding moment and the surrounding moment before it is calculated to obtain the local increase parameter of nitrogen dioxide at each surrounding moment; the mean of the local increase parameter of nitrogen dioxide at all surrounding moments of the sampling moment is calculated to obtain the nitrogen dioxide increase index at the sampling moment. The product of the nitric oxide decrease index and the nitrogen dioxide increase index is calculated, and the product is proportionally normalized to obtain the suspected first reaction stage index at the sampling moment, and the difference between 1 and the suspected first reaction stage index is calculated to obtain the suspected second reaction stage index at the sampling moment. In one embodiment of the present invention, the proportional normalization method is: normalization is performed using the norm normalization function to limit the value range to between 0 and 1. Normalization is a technical means well known to those skilled in the art, and the normalization function may be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0070] The larger the nitric oxide decrease index is, the greater the degree of nitric oxide decrease corresponding to the sampling time is; the larger the nitrogen dioxide increase index is, the greater the degree of nitrogen dioxide increase corresponding to the sampling time is; since the nitric oxide concentration will decrease and the nitrogen dioxide concentration will increase in the first stage, and the nitric oxide concentration will increase and the nitrogen dioxide concentration will decrease in the second stage, the suspected first reaction stage index and the suspected second reaction stage index at the sampling time are obtained. The larger the suspected first reaction stage index is, the greater the degree to which the sampling time initially meets the reaction characteristics of the first stage is; the larger the suspected second reaction stage index is, the greater the degree to which the sampling time initially meets the reaction characteristics of the second stage is.

[0071] Step S202: According to the correlation between the nitric oxide concentration, the nitrogen dioxide concentration and the ozone concentration corresponding to all surrounding moments of the sampling moment, the first-stage related indicators and the second-stage related indicators at the sampling moment are obtained.

[0072] Considering that nitric oxide will be converted into nitrogen dioxide in the first stage, and nitrogen dioxide NO2 will be decomposed into nitric oxide and ground-state oxygen atoms by light in the second stage, and the ground-state oxygen atoms will quickly combine with oxygen to generate ozone. The larger the relevant index in the first stage, the more negatively correlated the relationship between the concentration of nitric oxide and the concentration of nitrogen dioxide is, which means that the sampling time is more consistent with the reaction characteristics of the first stage; the larger the relevant index in the second stage, the more negatively correlated the relationship between the concentration of nitric oxide and the concentration of nitrogen dioxide is, and the more positively correlated the relationship between the concentration of nitric oxide and the concentration of ozone is, which means that the sampling time is more consistent with the reaction characteristics of the second stage.

[0073] In one embodiment of the present invention, a method for obtaining the first-stage related indicators and the second-stage related indicators includes:

[0074] According to the correlation coefficient between the concentration of nitric oxide and the concentration of nitrogen dioxide corresponding to all surrounding moments of the sampling moment, the first-stage related indicators are obtained;

[0075] The relevant indicators of the second stage are obtained based on the correlation coefficients between the nitric oxide concentration and the nitrogen dioxide concentration corresponding to all surrounding moments of the sampling moment, as well as the correlation coefficient between the nitric oxide concentration and the ozone concentration.

[0076] Specifically for the above steps, in chronological order, the concentrations of nitric oxide, nitrogen dioxide and ozone at all surrounding moments of the sampling moment are counted in turn to obtain the local nitric oxide concentration time series data, local nitrogen dioxide concentration time series data and local ozone concentration time series data at the sampling moment; the inverse of the Pearson correlation coefficient of the local nitric oxide concentration time series data and the local nitrogen dioxide concentration time series data at the sampling moment is calculated to obtain the first parameter; the Pearson correlation coefficient of the local nitric oxide concentration time series data and the local ozone concentration time series data is calculated to obtain the second parameter; the first parameter is used as the first stage related index; the mean of the first parameter and the second parameter is calculated to obtain the second stage related index. It should be noted that the Pearson correlation coefficient is a technical means well known to those skilled in the art and will not be elaborated here.

[0077] The larger the relevant index in the first stage, the more negatively correlated the relationship between the changing concentrations of nitric oxide and nitrogen dioxide is, which means that the sampling time conforms to the reaction characteristics of the first stage to a greater extent; the larger the relevant index in the second stage, the more negatively correlated the relationship between the changing concentrations of nitric oxide and nitrogen dioxide is, and the more positively correlated the relationship between the changing concentrations of nitric oxide and ozone is, which means that the sampling time conforms to the reaction characteristics of the second stage to a greater extent.

[0078] Step S203: According to the suspected first reaction stage indicator and the first stage related indicators, the first stage possibility at the sampling time is obtained; the suspected first reaction stage indicator, the first stage related indicators and the first stage possibility are positively correlated; according to the suspected second reaction stage indicator and the second stage related indicators, the second stage possibility at the sampling time is obtained; the suspected second reaction stage indicator, the second stage related indicators and the second stage possibility are positively correlated.

[0079] The sampling time of the first-stage possibility comprehensive reaction is consistent with the first-stage reaction characteristic degree; the sampling time of the second-stage possibility comprehensive reaction is consistent with the second-stage reaction characteristic degree.

[0080] In one embodiment of the present invention, the average of the suspected first reaction stage index and the first stage related index is calculated to obtain the first stage possibility; the average of the suspected second reaction stage index and the second stage related index is calculated to obtain the second stage possibility.

[0081] Considering that the monitored concentration of plant volatile organic compounds is difficult to accurately reflect the concentration of plant volatile organic compounds actually released by plants, it is necessary to analyze the intensity of the reaction corresponding to the sampling time to correct the concentration of plant-derived volatile organic compounds and obtain the corrected concentration of plant-derived volatile organic compounds, so that the corrected concentration of plant-derived volatile organic compounds can more accurately reflect the pest and disease situation. Figure 3 , which shows a flow chart of a method for obtaining a corrected concentration of plant-derived volatile organic compounds in one embodiment of the present invention. Preferably, in one embodiment of the present invention, the method for obtaining the corrected concentration of plant-derived volatile organic compounds at each sampling moment includes:

[0082] Step S211: According to the first stage possibility and the second stage possibility of the sampling time, the sampling time is divided into a reaction stage time and a time that does not require adjustment.

[0083] The greater the probability of the first stage, the more the sampling time conforms to the reaction characteristics of the first stage; the greater the probability of the second stage, the more the reaction sampling time conforms to the reaction characteristics of the second stage. The reaction stage time indicates that the plant volatile organic compounds react chemically with the nitrogen oxides in the air at the sampling time, and adjustment is required. No adjustment is required. At the reaction sampling time, the plant volatile organic compounds do not react chemically with the nitrogen oxides in the air, and no adjustment is required.

[0084] The sampling moment when the probability of the first stage is greater than the preset first threshold is used as the reaction stage moment; the sampling moment when the probability of the first stage is not greater than the preset first threshold is used as the time to be analyzed; the time to be analyzed when the probability of the second stage is greater than the preset second threshold is used as the reaction stage moment; the time to be analyzed when the probability of the second stage is not greater than the preset second threshold is used as the time that does not need to be adjusted. In one embodiment of the present invention, the preset first threshold is 0.65, and the preset second threshold is 0.67, which can be set by the implementer according to the implementation scenario.

[0085] Step S212: When no adjustment is required, the concentration of plant-derived volatile organic compounds is directly used as the corrected concentration of plant-derived volatile organic compounds.

[0086] Taking into account that the time when no adjustment is required reflects that the plant volatile organic compounds at the sampling time do not undergo chemical reaction with nitrogen oxides in the air, the monitored concentration of plant volatile organic compounds can accurately reflect the concentration of plant volatile organic compounds actually released by plants, and no adjustment is required. The concentration of plant-source volatile organic compounds at the time when no adjustment is required is used as the corrected concentration of plant-source volatile organic compounds.

[0087] Step S213: At the reaction stage, the reaction intensity parameter at the reaction stage is obtained according to the first stage possibility, the second stage possibility, and the time series changes of the plant source volatile organic compound concentration and the ozone concentration at all surrounding moments of the reaction stage.

[0088] Taking into account the chemical reaction between plant volatile organic compounds and nitrogen oxides in the air at the reaction sampling time during the reaction stage, the concentration of plant-derived volatile organic compounds needs to be adjusted according to the intensity of the reaction corresponding to the sampling time.

[0089] The intensity of the reaction at the reaction stage is represented by the intensity parameter of the reaction at the reaction stage. In one embodiment of the present invention, the method for obtaining the intensity parameter of the reaction includes:

[0090] According to the difference between the concentration of plant-derived volatile organic compounds at each surrounding moment of the reaction stage moment and the surrounding moment thereafter, the plant-derived volatile organic compound decrease index at the reaction stage moment is obtained; according to the difference between the ozone concentration at each surrounding moment of the reaction stage moment and the surrounding moment before the reaction stage moment, the ozone increase index at the reaction stage moment is obtained; according to the first stage possibility and the second stage possibility at the reaction stage moment, the stage possibility index at the reaction stage moment is obtained; according to the plant-derived volatile organic compound decrease index, the ozone increase index and the stage possibility index at the reaction stage moment, the reaction intensity parameter at the reaction stage moment is obtained.

[0091] Specifically for the above steps, calculate the difference between the concentration of plant-derived volatile organic compounds at each surrounding moment and the surrounding moment after it, and obtain the local organic matter decrease parameter at each surrounding moment; calculate the mean of the local organic matter decrease parameters at all surrounding moments of the reaction stage moment, and obtain the plant-derived volatile organic compound decrease index at the reaction stage moment. Calculate the difference between the ozone concentration at each surrounding moment and the surrounding moment before it, and obtain the local ozone increase parameter at each surrounding moment; calculate the mean of the local ozone increase parameters at all surrounding moments of the reaction stage moment, and obtain the ozone increase index at the reaction stage moment. Take the maximum value of the first stage possibility and the second stage possibility at the reaction stage moment as the stage possibility index at the reaction stage moment; calculate the sum of the plant-derived volatile organic compound decrease index, the ozone increase index and the stage possibility index at the reaction stage moment, normalize the sum, and obtain the reaction intensity parameter at the reaction stage moment.

[0092] The larger the plant-derived volatile organic compound reduction index is, the greater the consumption of plant-derived volatile organic compounds in the chemical reaction process is, and the more intense the chemical reaction is at the reaction stage; the larger the ozone increase index is, the greater the ozone generation is in the chemical reaction process, and the more intense the chemical reaction is at the reaction stage; the maximum value of the first stage possibility and the second stage possibility at the reaction stage is used as the stage possibility index at the reaction stage; the larger the stage possibility index at the reaction stage, the greater the degree to which the reaction stage conforms to the characteristics of the chemical stage reaction, and the more intense the chemical reaction is at the reaction stage; the plant-derived volatile organic compound reduction index, the ozone increase index and the stage possibility index at the reaction stage are combined to obtain the reaction intensity parameter at the reaction stage. The larger the reaction intensity parameter is, the more intense the chemical reaction is at the reaction stage.

[0093] Step S214: correcting the concentration of the plant-derived volatile organic compounds at the reaction stage according to the reaction intensity parameter at the reaction stage, and obtaining the corrected concentration of the plant-derived volatile organic compounds at the reaction stage.

[0094] Taking into account that the more violent the chemical reaction between plant volatile organic compounds and nitrogen oxides in the air, the greater the reduction in the monitored concentration of plant volatile organic compounds, the concentration of plant-derived volatile organic compounds at the reaction stage is corrected so that the corrected concentration of plant-derived volatile organic compounds more accurately reflects the actual concentration of plant volatile organic compounds released by plants and better reflects the situation of garden pests and diseases.

[0095] In one embodiment of the present invention, the product of the reaction intensity parameter and the concentration of plant-derived volatile organic compounds at the reaction stage is calculated, and the sum of the product and the concentration of plant-derived volatile organic compounds is calculated to obtain the corrected concentration of plant-derived volatile organic compounds at the reaction stage.

[0096] At this point, the corrected plant-derived volatile organic compound concentrations at each sampling time are obtained.

[0097] The pest and disease analysis module 103 is used to obtain the pest and disease possibility of the sampling interval to be analyzed based on the similarity of environmental information between the sampling interval to be analyzed and the historical sampling interval, and the difference in the concentration of corrected plant-derived volatile organic compounds.

[0098] Considering that in the historical process, in order to ensure the healthy growth of garden plants, timely prevention and control of pests and diseases will be carried out when they occur, the concentration of plant-derived volatile organic compounds in the historical sampling interval reflects the health of the plants and corresponds to the concentration of plant-derived volatile organic compounds. Considering that under the premise of similar environments, the greater the difference in the concentration of plant-derived volatile organic compounds actually released by the plants in all historical sampling intervals and the sampling interval to be analyzed, the greater the possibility of pests and diseases occurring in the sampling interval to be analyzed, and the possibility of pests and diseases in the sampling interval to be analyzed is obtained. The possibility of pests and diseases can more accurately indicate the possibility of pests and diseases occurring in the sampling interval to be analyzed, and improve the accuracy of garden plant pest and disease monitoring.

[0099] Preferably, in one embodiment of the present invention, the method for obtaining the possibility of pests and diseases includes:

[0100] Based on the similarity of environmental information between the sampling interval to be analyzed and each historical sampling interval, the environmental similarity of each historical sampling interval is obtained; based on the environmental similarity of the historical sampling intervals and the degree of difference in all corrected plant-derived volatile organic compound concentrations between the historical sampling intervals and the sampling intervals to be analyzed, the possibility of pests and diseases in the sampling interval to be analyzed is obtained.

[0101] Considering that the environment can affect the chemical reaction rate, the environmental similarity is used to indicate the environmental similarity between the historical sampling interval and the sampling interval to be analyzed, reflecting the environmental similarity that affects the chemical reaction rate. The possibility of pests and diseases occurring in the sampling interval to be analyzed is more accurately indicated by the possibility of pests and diseases occurring in the sampling interval to be analyzed.

[0102] Preferably, in one embodiment of the present invention, the method for obtaining environment similarity includes:

[0103] Environmental information includes the numerical value of each environmental condition; the numerical value of the environmental condition includes the environmental temperature value and the environmental humidity value; it should be noted that, taking temperature as an environmental condition, the numerical value of temperature is the environmental temperature value; taking humidity as an environmental condition, the numerical value of humidity is the environmental humidity value. Calculate the absolute value of the difference between the numerical values ​​of each environmental condition corresponding to the sampling interval to be analyzed and the historical sampling interval to obtain the environmental difference index of each environmental condition in the historical sampling interval; calculate the mean of the environmental difference index of all environmental conditions, inversely normalize the mean, and obtain the environmental similarity of the historical sampling interval. In one embodiment of the present invention, the method of inverse normalization is: take the inverse of the mean as the power of an exponential function with a natural constant as the base, and obtain the environmental similarity of the historical sampling interval.

[0104] The larger the environmental difference index of environmental conditions, the greater the difference between the sampling interval to be analyzed and the historical sampling interval under the environmental conditions; the greater the environmental similarity, the greater the similarity of environmental information between the sampling interval to be analyzed and the historical sampling interval.

[0105] Preferably, in one embodiment of the present invention, according to the environmental similarity of the historical sampling interval and the difference between all corrected plant-derived volatile organic compound concentrations of the historical sampling interval and the sampling interval to be analyzed, the method for obtaining the possibility of pests and diseases in the sampling interval to be analyzed includes:

[0106] Sort the historical sampling intervals according to the degree of environmental similarity, and use the historical sampling intervals with a preset reference number as historical environmental similarity intervals;

[0107] Calculate the average of the corrected plant-derived volatile organic compound concentrations corresponding to all sampling moments in the sampling interval to be analyzed as the overall organic compound concentration in the sampling interval to be analyzed;

[0108] Calculate the mean of the corrected plant-derived volatile organic compound concentrations corresponding to all sampling moments in the historical environmental similarity interval as the overall organic matter concentration in the historical environmental similarity interval;

[0109] Calculate the absolute value of the difference between the overall organic matter concentration of the sampling interval to be analyzed and the interval with similar historical environment to obtain the disease difference degree of the interval with similar historical environment;

[0110] The mean of the product of the disease difference and the environmental similarity of all historical environmental similarity intervals is calculated to obtain the possibility of the disease and insect pests in the sampling interval to be analyzed. In one embodiment of the present invention, the preset reference number is 20, which can be set by the implementer according to the implementation scenario.

[0111] Taking into account the environmental difference index of environmental conditions, the greater the difference between the sampling interval to be analyzed and the historical sampling interval under the environmental conditions; the sampling interval with an environment similar to the sampling interval to be analyzed is represented by the historical environmental similarity interval. The overall organic matter concentration of the sampling interval to be analyzed represents the overall corrected plant-derived volatile organic compound concentration of the sampling interval to be analyzed, which can more accurately reflect the actual release of plant-derived volatile organic compounds by plants in the sampling interval to be analyzed; the overall organic matter concentration of the historical environmental similarity interval represents the corrected plant-derived volatile organic compound concentration of the historical environmental similarity interval, which can more accurately reflect the actual release of plant-derived volatile organic compounds by plants in the historical environmental similarity interval; the disease difference degree of the historical environmental similarity interval represents the difference in the corrected plant-derived volatile organic compound concentration between the sampling interval to be analyzed and the historical environmental similarity interval. The larger the value of the disease difference degree, the greater the difference. Considering that the greater the environmental similarity, the greater the similarity of the environmental information between the sampling interval to be analyzed and the historical sampling interval, under the premise of similar environment, the greater the difference in the corrected plant-derived volatile organic compound concentrations between each historical sampling interval and the sampling interval to be analyzed, the greater the possibility of pests and diseases occurring in the sampling interval to be analyzed, and the pest and disease possibility of the sampling interval to be analyzed is obtained. The pest and disease possibility can more accurately indicate the possibility of pests and diseases occurring in the sampling interval to be analyzed.

[0112] Specifically, when the probability of pests and diseases in the sampling interval to be analyzed is not less than the preset disease threshold, an alarm for disease monitoring is issued, and the garden management personnel organize an expert team to carry out pest control in the garden, and timely carry out plant pest control. In one embodiment of the present invention, the preset disease threshold is 0.3, and the implementer can set it according to the implementation scenario.

[0113] In summary, the embodiment of the present invention provides a garden plant pest and disease monitoring system. First, according to the first-stage possibility and the second-stage possibility at the sampling moment, as well as the time-series changes in the corresponding plant-derived volatile organic compound concentration and ozone concentration at all surrounding moments of the sampling moment, the plant-derived volatile organic compound concentration at the sampling moment is corrected to obtain the corrected plant-derived volatile organic compound concentration at each sampling moment; according to the similarity of the environmental information of the sampling interval to be analyzed and the historical sampling interval, and the difference in the corrected plant-derived volatile organic compound concentration, the pest and disease possibility of the sampling interval to be analyzed is obtained. In the embodiment of the present invention, by correcting the concentration of plant-derived volatile organic compounds, the pest and disease possibility can more accurately represent the possibility of pests and diseases occurring in the sampling interval to be analyzed, thereby improving the monitoring effect of garden plant pests and diseases.

[0114] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0115] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A garden plant pest monitoring system, characterized in that: The system comprises: A data acquisition module is used to: acquire a concentration data set and environmental information of the sampling interval to be analyzed and each historical sampling interval; the concentration data set includes the concentration of plant-derived volatile organic compounds, nitric oxide concentration, nitrogen dioxide concentration and ozone concentration at each sampling moment; A data correction module is used to: obtain the first-stage possibility and the second-stage possibility of the sampling moment according to the time-series changes of the nitric oxide concentration and the nitric dioxide concentration corresponding to all surrounding moments of the sampling moment, and the correlation between the nitric oxide concentration, the nitric dioxide concentration and the ozone concentration corresponding to all surrounding moments of the sampling moment; correct the plant-derived volatile organic compound concentration at the sampling moment according to the first-stage possibility and the second-stage possibility of the sampling moment, and the time-series changes of the plant-derived volatile organic compound concentration and the ozone concentration corresponding to all surrounding moments of the sampling moment, and obtain the corrected plant-derived volatile organic compound concentration at each sampling moment; the first stage includes: consuming plant-derived volatile organic compounds and nitric oxide to produce nitrogen dioxide; the second stage includes: consuming nitrogen dioxide to produce nitric oxide and ozone; The pest and disease analysis module is used to obtain the possibility of pests and diseases in the sampling interval to be analyzed based on the similarity of environmental information between the sampling interval to be analyzed and the historical sampling interval, as well as the difference in the concentration of corrected plant-derived volatile organic compounds; The method for obtaining the first-stage possibility and the second-stage possibility of the sampling time comprises: Obtaining a suspected first reaction stage indicator and a suspected second reaction stage indicator at the sampling moment according to the time series changes of the nitric oxide concentration and the nitrogen dioxide concentration corresponding to all surrounding moments of the sampling moment; According to the correlation between the nitric oxide concentration, nitrogen dioxide concentration and ozone concentration corresponding to all surrounding moments at the sampling moment, the first-stage related indicators and the second-stage related indicators at the sampling moment are obtained; According to the suspected first reaction stage indicator and the first stage related indicator, the first stage possibility at the sampling time is obtained; the suspected first reaction stage indicator, the first stage related indicator and the first stage possibility are positively correlated; According to the suspected second reaction stage indicator and the second stage related indicator, the second stage possibility at the sampling time is obtained; the suspected second reaction stage indicator, the second stage related indicator and the second stage possibility are positively correlated; The method for obtaining the suspected first reaction stage indicator and the suspected second reaction stage indicator at the sampling time includes: Obtaining a nitric oxide decrease index at the sampling moment according to the difference between the nitric oxide concentration at each surrounding moment of the sampling moment and the next surrounding moment; Obtaining a nitrogen dioxide rise index at the sampling moment according to the difference between the nitrogen dioxide concentration at each surrounding moment of the sampling moment and the previous surrounding moment; According to the nitric oxide decrease index and the nitrogen dioxide increase index, obtaining the suspected first reaction stage index and the suspected second reaction stage index at the sampling time; The method of obtaining the suspected first reaction stage index and the suspected second reaction stage index at the sampling time according to the nitric oxide decrease index and the nitrogen dioxide increase index includes: Calculate the product of the nitric oxide decrease index and the nitrogen dioxide increase index, perform proportional normalization on the product to obtain the suspected first reaction stage index at the sampling time, calculate 1 minus the value of the suspected first reaction stage index to obtain the suspected second reaction stage index at the sampling time; The method for obtaining the first-stage related indicators and the second-stage related indicators includes: The concentrations of nitric oxide, nitrogen dioxide and ozone at all surrounding moments of the sampling moment are counted in sequence to obtain the local nitric oxide concentration time series data, the local nitrogen dioxide concentration time series data and the local ozone concentration time series data at the sampling moment; the inverse of the Pearson correlation coefficient of the local nitric oxide concentration time series data and the local nitrogen dioxide concentration time series data at the sampling moment is calculated to obtain the first parameter; the Pearson correlation coefficient of the local nitric oxide concentration time series data and the local ozone concentration time series data is calculated to obtain the second parameter; the first parameter is used as the first-stage related index; the mean of the first parameter and the second parameter is calculated to obtain the second-stage related index; The method for obtaining the possibility of the second stage includes: calculating the average of the suspected first reaction stage index and the first stage related index to obtain the first stage possibility; calculating the average of the suspected second reaction stage index and the second stage related index to obtain the second stage possibility; The method for obtaining the corrected concentration of plant-derived volatile organic compounds at each sampling moment includes: According to the first stage possibility and the second stage possibility of the sampling moment, the sampling moment is divided into a reaction stage moment and a time without adjustment; When no adjustment is needed, the concentration of plant-derived volatile organic compounds is directly used as the corrected concentration of plant-derived volatile organic compounds; At the reaction stage, according to the first stage possibility, the second stage possibility, and the time series changes of the concentration of plant-derived volatile organic compounds and the concentration of ozone at all surrounding moments of the reaction stage, the reaction intensity parameter at the reaction stage is obtained; According to the reaction intensity parameter at the reaction stage, the concentration of the plant-derived volatile organic matter at the reaction stage is corrected to obtain the corrected concentration of the plant-derived volatile organic matter at the reaction stage; The method for obtaining the violent reaction parameter comprises: Obtaining a reduction index of plant-derived volatile organic compounds at the reaction stage moment according to the difference between the concentration of the plant-derived volatile organic compounds at each surrounding moment of the reaction stage moment and the next surrounding moment; Obtaining an ozone rise index at the reaction stage moment according to the difference between the ozone concentration at each surrounding moment of the reaction stage moment and the previous surrounding moment; According to the first stage possibility and the second stage possibility at the reaction stage, the stage possibility index at the reaction stage is obtained; According to the plant-derived volatile organic compound decrease index, the ozone increase index and the possible index of the stage at the reaction stage, the reaction intensity parameter at the reaction stage is obtained; The specific method for obtaining the reaction intensity parameter includes: taking the maximum value of the first stage possibility and the second stage possibility at the reaction stage as the stage possibility index at the reaction stage; calculating the sum of the plant source volatile organic matter decrease index, the ozone increase index and the stage possibility index at the reaction stage, normalizing the sum, and obtaining the reaction intensity parameter at the reaction stage; The specific method for obtaining the corrected concentration of plant-derived volatile organic compounds at the reaction stage includes: calculating the product of the reaction intensity parameter at the reaction stage and the concentration of plant-derived volatile organic compounds, calculating the sum of the product and the concentration of plant-derived volatile organic compounds, and obtaining the corrected concentration of plant-derived volatile organic compounds at the reaction stage.

2. A garden plant pest monitoring system according to claim 1, characterized in that: The method for obtaining the violent reaction parameter comprises: Obtaining a reduction index of plant-derived volatile organic compounds at the reaction stage moment according to the difference between the concentration of the plant-derived volatile organic compounds at each surrounding moment of the reaction stage moment and the next surrounding moment; Obtaining an ozone rise index at the reaction stage moment according to the difference between the ozone concentration at each surrounding moment of the reaction stage moment and the previous surrounding moment; According to the first stage possibility and the second stage possibility at the reaction stage, the stage possibility index at the reaction stage is obtained; According to the plant-derived volatile organic compound decrease index, the ozone increase index and the stage possibility index at the reaction stage, the reaction intensity parameter at the reaction stage is obtained.

3. A garden plant pest monitoring system according to claim 1, characterized in that: The method for obtaining the possibility of pests and diseases includes: According to the similarity of the environmental information of the sampling interval to be analyzed and each historical sampling interval, the environmental similarity of each historical sampling interval is obtained; Based on the environmental similarity of the historical sampling intervals and the degree of difference in all corrected plant-derived volatile organic compound concentrations between the historical sampling intervals and the sampling intervals to be analyzed, the possibility of pests and diseases in the sampling interval to be analyzed is obtained.

4. A garden plant pest monitoring system according to claim 3, characterized in that: The method for obtaining the environmental similarity includes: The environmental information includes a value of each environmental condition; the value of the environmental condition includes an environmental temperature value and an environmental humidity value; Calculate the absolute value of the difference between the sampling interval to be analyzed and the values ​​of each historical sampling interval corresponding to each environmental condition to obtain the environmental difference index of each environmental condition; The mean of the environmental difference index of all environmental conditions is calculated, and the mean is inversely normalized to obtain the environmental similarity of the historical sampling interval.

5. A garden plant pest monitoring system according to claim 4, characterized in that: Based on the environmental similarity of the historical sampling intervals and the difference in the concentrations of all corrected plant-derived volatile organic compounds between the historical sampling intervals and the sampling intervals to be analyzed, the methods for obtaining the possibility of pests and diseases in the sampling intervals to be analyzed include: Sort the historical sampling intervals according to the degree of environmental similarity, and use the historical sampling intervals of the preset reference quantity as each historical environmental similarity interval; Calculate the average of the corrected plant-derived volatile organic compound concentrations corresponding to all sampling moments in the sampling interval to be analyzed as the overall organic compound concentration in the sampling interval to be analyzed; Calculate the mean of the corrected plant-derived volatile organic compound concentrations corresponding to all sampling moments in the historical environmental similarity interval as the overall organic matter concentration in the historical environmental similarity interval; Calculate the absolute value of the difference between the overall organic matter concentration of the sampling interval to be analyzed and the interval with similar historical environment to obtain the disease difference degree of the interval with similar historical environment; The mean of the product of disease difference and environmental similarity in all historical environmentally similar intervals was calculated to obtain the possibility of pests and diseases in the sampling interval to be analyzed.

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