Method for monitoring, preventing and treating thrips

By slapping thrips and using the analytical model and relationship curve to determine the thrips quantity of the thrips plate, the problem of not being able to determine the number of thrips when the thrips plate is not set is solved, and accurate monitoring and effective prevention and control are achieved when the thrips plate is not set.

CN119832384APending Publication Date: 2025-04-15INST OF PLANT PROTECTION NINGXIA ACAD OF AGRI & FORESTRY SCI KEY LAB OF NINGXIA PLANT DISEASE & INSECT PESTS CONTROL +1
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Patent Information

Application Number
CN202411862931.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-17
Publication Date
2025-04-15

AI Technical Summary

Technical Problem

The prior art cannot accurately determine the number of thrips when the sticky insect plate is not installed, resulting in the inability to effectively prevent and control.

Method used

By manually slapping thrips and obtaining slap images, the slap amount is determined using the analytical model, and then the corresponding thrips amount in the slap board is calculated based on the predetermined relationship curve, thereby determining the appropriate prevention and treatment method.

Benefits of technology

When no sticky insect plate is installed, it can objectively and accurately reflect the occurrence of thrips, provide scientific and effective prevention and control measures, and meet the needs of early monitoring and prevention and control.

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Abstract

The invention discloses a thrip monitoring and control method, and relates to the technical field of agricultural pest control, and the method comprises the steps: obtaining a flapping thrip image; analyzing the thrip patting image, and determining the amount of thrips patting in the thrip patting image; on the basis of a relation curve between the amount of thrips flapped and the amount of thrips on the sticky trap, the corresponding amount of thrips on the sticky trap is determined according to the amount of thrips flapped; determining a corresponding control mode according to the quantity of the thrips on the sticky trap; and controlling the thrips according to the control mode. According to the method, when the sticky trap is not arranged, the thrips are manually flapped to determine the quantity of the thrips flapped, then the corresponding quantity of the thrips on the sticky trap is determined according to the relation curve of the quantity of the thrips on the sticky trap and the quantity of the thrips flapped, and then an appropriate prevention and control mode is determined according to a relatively accurate monitoring result of the quantity of the thrips. The requirement for determining the amount of the thrips on the sticky trap when the sticky trap is not arranged is met, and an accurate data basis is provided for scientific and effective prevention and treatment of the thrips.
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Description

Technical Field

[0001] The present application relates to the technical field of agricultural pest control, and in particular to a method for monitoring and controlling thrips. Background Art

[0002] Thrips are a common agricultural pest that is particularly active in summer. Adult thrips have two wings and can fly in the field, causing damage to a large area. Thrips are harmful to the leaves, flowers and fruits of plants, which can easily cause slow growth of plants or fruits, or even deformities.

[0003] Thrips control is similar to other agricultural pests control, mainly through physical and chemical methods. Physical monitoring and control methods mainly use sticky insect boards to kill thrips, taking advantage of the fact that thrips like yellow or blue, while chemical monitoring and control methods use various pesticides to kill them. Regardless of which monitoring and control method is used, it is necessary to know the occurrence of thrips in the field in order to adopt appropriate control measures.

[0004] Traditional monitoring and prevention methods mainly rely on manual observation. Experienced people observe the specific parts of plants and can distinguish thrips from various pests, and visually estimate the number of thrips. This monitoring and prevention method relies heavily on personnel, and relies heavily on experience, resulting in inaccurate identification of the amount of thrips. In view of the defects of traditional monitoring and prevention methods, the prior art uses image recognition to determine the amount of thrips on sticky insect boards, with the advantages of accurate and fast results, such as CN104751450A and CN116562452A. However, the occurrence of thrips has obvious seasonality, and sticky insect boards are not set in the field at any time. Only when it is confirmed that sticky insect boards need to be used for prevention and control will they be set. However, the prevention and control of thrips is generally carried out in advance, and monitoring is required when thrips are about to appear, but at this time, sticky insect boards are not set in the field because thrips do not occur. In this way, the existing methods for judging the number of thrips when sticky insect boards are not set are not available, causing these technologies to be unable to play their due role. Summary of the invention

[0005] The embodiment of the present application provides a method for monitoring and controlling thrips, which is used to solve the problem that the existing technology for judging the number of thrips based on the image of the sticky insect board is unavailable when no sticky insect board is set in the prior art.

[0006] The present application embodiment provides a thrips monitoring and control method, comprising:

[0007] Acquire flapping thrips images;

[0008] analyzing the flapping thrips image to determine an amount of flapping thrips in the flapping thrips image;

[0009] Based on the relationship curve between the amount of thrips flapped and the amount of thrips on the sticky board, the corresponding amount of thrips on the sticky board is determined according to the amount of thrips flapped;

[0010] Determine the corresponding control method according to the amount of thrips on the sticky insect board;

[0011] Control thrips according to the prevention and control methods.

[0012] A thrips monitoring and control method in this application has the following advantages:

[0013] When no sticky insect board is set, thrips are manually slapped to determine the amount of thrips to be slapped, and then the corresponding amount of thrips on the sticky insect board is determined using the relationship curve between the predetermined amount of thrips on the sticky insect board and the amount of thrips to be slapped. The amount of thrips on the sticky insect board can more objectively and accurately reflect the occurrence of thrips in the entire area, and then determine the appropriate prevention and control method based on the amount of thrips on the sticky insect board. It meets the need to determine the amount of thrips on the sticky insect board when no sticky insect board is set, and provides an accurate data basis for the scientific and effective prevention and control of thrips. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 A flowchart of a thrips monitoring and control method provided in an embodiment of the present application;

[0016] Figure 2 A comparison chart of various fitting methods for the amount of thrips flapped and the amount of thrips on sticky insect boards provided in the embodiments of the present application;

[0017] Figure 3 This is a schematic diagram of the changes in the amount of thrips flapped and the amount of thrips on the sticky insect board over time provided in the embodiments of the present application. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] Figure 1 A flowchart of a thrips monitoring and control method provided in an embodiment of the present application. The present application embodiment provides a thrips monitoring and control method, comprising:

[0020] S100, acquiring an image of flapping thrips.

[0021] Exemplarily, the method for obtaining an image of slapping thrips includes: a person slaps a specific part of a plant in a field, uses a receiving plate to catch the fallen thrips, and uses a mobile camera to obtain an image of the slapping thrips on the receiving plate.

[0022] Take the thrips that occur in alfalfa fields as an example. These thrips will occur on the stems, leaves, flowers and fruits of alfalfa. Therefore, when swatting, you can swatter at the location where the thrips actually occur, and no matter when you swatter, you need to use the same force and frequency as much as possible to ensure that the amount of thrips swatted will not be adversely affected by the factors of swatting.

[0023] The holding plate can be a flat plate with a color that is obviously different from that of the thrips, such as green or white. When flapping, the holding plate is placed below the flapping position. One hand holds the holding plate, and the other hand flaps the plants. The thrips that fall off will be caught by the holding plate. Then, the personnel use the mobile camera equipment they carry with them to take an image of all the thrips on the holding plate, thus completing the collection of the flapping thrips image.

[0024] Furthermore, since thrips occur in multiple locations on alfalfa, and usually only one location can be swatted during the swatting process, but the number of thrips occurring in different locations on the alfalfa is not the same, when using a mobile camera to capture images of thrips being swatted, the swatting location can be set first. After the swatting location is set, the thrips image captured by the mobile camera will establish a corresponding relationship with the swatting location.

[0025] S110, analyzing the flapping thrips image to determine the flapping thrips amount in the flapping thrips image.

[0026] Exemplarily, after the mobile camera device acquires the image of the thrips, the image of the thrips is uploaded to the cloud server, and the cloud server analyzes the image of the thrips to obtain the amount of the thrips.

[0027] The mobile camera device can be a smart phone, which is an electronic device that people often use at present, and has functions such as storage, photography, communication and display. After obtaining the image of the thrips, the personnel can upload it to the cloud server using the communication function of the mobile camera device. Specifically, the mobile camera device can upload the image of the thrips to the cloud server in the form of a browser or a client.

[0028] In an embodiment of the present application, an analysis model for determining the amount of thrips to be swatted is deployed in a cloud server, and the analysis model is preferably established based on a neural network model, and the neural network model can adopt a convolutional neural network CNN. In the process of establishing the analysis model, it is necessary to establish a sample set in advance, and the sample set not only contains sample images, but also contains labels of the sample images after manual annotation. After the analysis model is trained and verified respectively using the training set and verification set in the sample set, an analysis model that can meet the needs can be obtained.

[0029] Further, the flapping thrips images of multiple positions in the field are obtained, and multiple flapping thrips amounts are obtained after analyzing multiple flapping thrips images, and multiple flapping thrips amounts are averaged as the final flapping thrips amount. Due to the number of thrips occurring in the field, there will be certain differences due to different positions, and the personnel will inevitably have differences in the flapping force or number of times when flapping the plants, which will cause the flapping thrips amounts obtained after any two flaps to be different. In order to eliminate the influence of this difference as much as possible, the personnel need to flap and take pictures in the field for many times, and the flapping locations need to be evenly distributed as much as possible. After determining multiple flapping thrips amounts, the processing of averaging is performed, and the final flapping thrips amount can be obtained. It should be understood that after the averaging process, the flapping thrips amount may not be an integer, and it can be left unprocessed at this time, or the flapping thrips amount that is not an integer can be rounded up or down.

[0030] After the cloud server uses the analysis model to determine the amount of thrips, it can feed back the amount of thrips to the mobile camera used by the personnel, and the personnel can use the mobile camera to check the amount of thrips in the current area.

[0031] S120, based on the relationship curve between the amount of thrips flapped and the amount of thrips on the sticky board, determining the corresponding amount of thrips on the sticky board according to the amount of thrips flapped.

[0032] For example, after determining the amount of thrips flapping using the analysis model, the cloud server determines the amount of thrips on the sticky board corresponding to the amount of thrips flapping based on the relationship curve, and feeds the amount of thrips on the sticky board back to the mobile camera. Therefore, personnel can view the two data of the amount of thrips flapping and the amount of thrips on the sticky board in the current area through the mobile camera.

[0033] In an embodiment of the present application, the method for obtaining the relationship curve includes: setting multiple sticky insect boards in the field, collecting sticky insect board images, analyzing the sticky insect board images, and determining the amount of sticky insect board thrips; also collecting thrips images, and then determining the corresponding amount of thrips; fitting multiple sticky insect board thrips amounts and multiple thrips amounts to obtain a relationship curve. It should be understood that determining the relationship curve is only a one-time job, or it is only necessary to repeat the update of the relationship curve after multiple estimates, so multiple sticky insect boards can be set in the field, and then after a certain time, such as 3 days or 5 days, personnel use mobile camera equipment to collect sticky insect board images, and upload the sticky insect board images to the cloud server, and the corresponding sticky insect board thrips amount is determined by the analysis model in the cloud server. Since multiple sticky insect boards are set, the corresponding sticky insect board thrips amount is also multiple, and the final sticky insect board thrips amount can also be determined by the average method for multiple sticky insect board thrips. Moreover, the analysis model used when determining the amount of sticky insect board thrips can directly use the analysis model used when determining the amount of thrips.

[0034] Furthermore, since the flapping position has been set before the mobile camera device takes the flapping thrips image, and a corresponding relationship has been established between the flapping thrips image and the flapping position, a relationship curve between the amount of flapping thrips obtained at different flapping positions and the amount of thrips on the sticky board can be established in advance. After the mobile camera device collects the flapping thrips image, the cloud server will select the corresponding relationship curve according to the flapping position, and then determine the amount of thrips on the sticky board according to the selected relationship curve.

[0035] The following describes the process of determining the relationship curve in this application by taking thrips occurring in an alfalfa field as an example.

[0036] In this embodiment, yellow boards are used to trap thrips, so the amount of thrips on the sticky insect board is called the amount of yellow board thrips. By performing a correlation analysis on the amount of flapping thrips and the amount of yellow board thrips, it can be seen from the analysis results (as shown in Table 1) that there is a very significant correlation between the amount of yellow board thrips and the amount of flapping thrips, with a correlation coefficient of 0.532, that is, as the amount of flapping thrips increases, the amount of yellow board thrips will increase accordingly. ** It indicates that the value is extremely significant at the level less than 0.01.

[0037] Table 1 Correlation analysis between the amount of yellow card thrips and the amount of flapping thrips

[0038] Correlation coefficient Amount of thrips trapped by yellow board Thrips amount Amount of thrips trapped by yellow board 1 <![CDATA[0.532 ** ]]> Thrips amount <![CDATA[0.532 ** ]]> 1

[0039] Based on the correlation between the amount of slapping thrips and the amount of yellow card thrips, exponential function, linear function and polynomial function were used to fit the equations of the amount of slapping thrips and the amount of yellow card thrips respectively. The fitting equations are shown below.

[0040] Exponential function: y = 61.469 0.0245x (R 2=0.4054)

[0041] Linear function: y = 3.9477x + 62.942 (R 2 =0.3605)

[0042] Polynomial function: y = 0.2239x 2 -12.296x+244.59(R 2 =0.5986)

[0043] In the above formula, y is the amount of thrips on the sticky board, and x is the amount of thrips on the flapping board.

[0044] Depend on Figure 2 It can be concluded that the coefficient of determination R of the equations fitted by the three methods is 2 All are greater than 0.36. Among them, the highest coefficient of determination of the polynomial function is 0.59. Therefore, the polynomial function has the best fitting effect, and the equation can be used as an estimation model for the actual occurrence of thrips in alfalfa fields, that is, the amount of yellow card thrips, so this application uses a polynomial function to fit the relationship curve.

[0045] Through the investigation of the trapping amount of thrips in alfalfa fields from May 23 to August 1, 2022, a change curve was drawn. Figure 3 It can be seen that the number of trapped thrips showed an overall trend of first increasing and then decreasing. It can be seen that as the temperature rises, the occurrence of thrips in alfalfa fields increases.

[0046] As shown in Table 2, the number of thrips was small at the beginning of the survey. As the survey time went on, the number of thrips gradually increased, reaching the maximum on July 4, which was significantly different from the survey values ​​at other times. In May, the weather was relatively cool, and the number of thrips was small. Due to the influence of rainfall on June 27, the number of flapping thrips was small. It can be seen that factors such as temperature, rainfall, and alfalfa growth will have an impact on the number of thrips. In Table 2, different lowercase letters indicate significant differences at the a=0.05 level.

[0047] Table 2 Changes in the amount of yellow board thrips and flapping thrips

[0048]

[0049]

[0050] In an embodiment of the present application, the current time is recorded after the relationship curve is fitted to form a corresponding relationship between the time and the relationship curve; after determining the amount of thrips to be swatted, the corresponding relationship curve is selected according to the current time.

[0051] Since there is a significant correlation between the occurrence of thrips and time, and the relationship curves between the amount of thrips flapped and the amount of thrips on the sticky board at different times may be quite different, in order to ensure the accuracy of the results, it is necessary to record the corresponding time during the stage of establishing the relationship curve. After completing the work of establishing the relationship curve multiple times, the recorded time is established in a corresponding relationship with the relationship curve. In practical applications, the current time is first determined, and then the corresponding relationship curve is selected according to the current time, and then the amount of thrips on the sticky board is determined.

[0052] Furthermore, the time period of thrips occurrence can be divided into multiple sub-time periods, for example, every half month is divided into a sub-time period, and each sub-time period needs to establish a relationship curve at least once. After obtaining multiple relationship curves, the relationship curves and the corresponding time can be stored. In the estimation work in the second year and thereafter, the relationship curve of the same time can be selected according to the current time to estimate the amount of thrips on the sticky insect board.

[0053] It should be understood that the occurrence of thrips is not only related to time, but also has a significant correlation with other environmental factors, such as temperature, weather, etc. Therefore, when establishing a relationship curve related to time, the application also records the corresponding environmental factors, and forms different relationship curves according to the different environmental factors in the same sub-time period. In subsequent use, the cloud server first selects multiple relationship curves in the same sub-time period according to the current time, and then selects the relationship curve with the highest similarity between the environmental factor and the current environmental factor from the multiple relationship curves as the final determined relationship curve.

[0054] S130, determining a corresponding control method according to the amount of thrips on the sticky insect board.

[0055] Exemplarily, the control methods include agricultural control, physical control and chemical control. When the amount of thrips on the sticky insect board is less than a first quantity threshold, agricultural control is selected; when the amount of thrips on the sticky insect board is between the first quantity threshold and the second quantity threshold, physical control is selected; when the amount of thrips on the sticky insect board is greater than the second quantity threshold, chemical control is selected, and the first quantity threshold is less than the second quantity threshold.

[0056] Specifically, agricultural control includes timely weeding and strengthening water and fertilizer management. Weeding can eliminate overwintering adults or nymphs and reduce the number of thrips in the next year, while strengthening water and fertilizer management can improve the growth of plants and compensate for the damage caused by thrips. Physical control mainly uses sticky insect boards for trapping. Taking advantage of the fact that thrips like blue or yellow, a large number of blue or yellow sticky insect boards can be set up in the field. Chemical control mainly uses pesticides to kill thrips. Commonly used pesticides include imidacloprid, acetamiprid, etc.

[0057] After obtaining prevention and control measures, the cloud server can also form more detailed prevention and control suggestions, such as the ratio of water and fertilizer in agricultural prevention and control, the density of sticky insect boards in physical prevention and control, and the dosage of pesticides in chemical prevention and control.

[0058] S140, control thrips according to the control method.

[0059] For example, for the same occurrence of thrips, there may be multiple feasible control measures. For example, different pesticides used in chemical control may achieve the same or similar control effects. Therefore, the cloud server can provide multiple feasible control measures at the same time. After selecting and implementing one of the control measures, the personnel can feedback the control effect to the cloud server through a mobile camera device. The cloud server will save these feedback opinions and display them when feedbacking control measures to other users, providing an effective reference for personnel to choose control measures.

[0060] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0061] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for monitoring and controlling thrips, characterized in that: include: Acquire flapping thrips images; analyzing the flapping thrips image to determine the flapping thrips amount in the flapping thrips image; Based on the relationship curve between the amount of thrips beaten and the amount of thrips on the sticky insect board, the corresponding amount of thrips on the sticky insect board is determined according to the amount of thrips beaten; Determine the corresponding control method according to the amount of thrips on the sticky insect board; Thrips were controlled according to the above control methods.

2. A thrips monitoring and control method according to claim 1, characterized in that: The method for obtaining the thrips beating image comprises: Personnel slap specific parts of plants in the field, use a holding plate to catch the fallen thrips, and use a mobile camera to obtain images of the slapped thrips on the holding plate.

3. A thrips monitoring and control method according to claim 2, characterized in that, After the mobile camera device acquires the image of the thrips being flapped, the image of the thrips being flapped is uploaded to a cloud server. The cloud server determines the amount of thrips on the sticky board corresponding to the amount of thrips being flapped based on the relationship curve, and feeds back the amount of thrips on the sticky board to the mobile camera device.

4. A thrips monitoring and control method according to claim 1, characterized in that: The thrips flapping images at multiple locations in the field are obtained, multiple thrips flapping images are analyzed to obtain multiple thrips flapping amounts, and the multiple thrips flapping amounts are averaged to serve as the final thrips flapping amount.

5. A thrips monitoring and control method according to claim 1, characterized in that: The method for obtaining the relationship curve includes: A plurality of sticky insect boards are set up in the field, and images of the sticky insect boards are collected, and the sticky insect board images are analyzed to determine the amount of thrips on the sticky insect boards; images of flapping thrips are also collected, and then the corresponding amount of flapping thrips is determined; the amounts of thrips on the plurality of sticky insect boards and the plurality of flapping thrips are fitted to obtain the relationship curve.

6. A thrips monitoring and control method according to claim 5, characterized in that: The relationship curve is fitted using a polynomial function: <h2 style=";text-align:left;direction:ltr">y = 0.2239x<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> -12.296x+244.59 Wherein, y is the amount of thrips on the sticky insect board, and x is the amount of thrips flapped.

7. A thrips monitoring and control method according to claim 5, characterized in that: After fitting the relationship curve, the current time is recorded to form a corresponding relationship between the time and the relationship curve; after determining the amount of thrips being struck, the corresponding relationship curve is selected according to the current time.

8. A thrips monitoring and control method according to claim 1, characterized in that: The control methods include agricultural control, physical control and chemical control. When the amount of thrips on the sticky insect board is less than a first quantity threshold, agricultural control is selected; when the amount of thrips on the sticky insect board is between the first quantity threshold and the second quantity threshold, physical control is selected; when the amount of thrips on the sticky insect board is greater than the second quantity threshold, chemical control is selected, and the first quantity threshold is less than the second quantity threshold.

Citation Information

Patent Citations

  • Method and device for identifying quantity of pests on greenhouse pasting color palette

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