Farmland insect pest situation intelligent forecasting method

Abstract

The invention discloses an intelligent forecasting method for farmland insect conditions. The method comprises the following specific steps: S1, trapping pests; s2, pest treatment; s3, the vibration mechanism vibrates to flatly spread the pests, and a camera is aligned with the pests flatly spread on the vibration mechanism to take photos and record; s4, the local processing module uploads the analysis result and / or the image original data to a cloud platform through a communication network base station; s5, the pests on the upper plate are cleared away; the displacement of insect bodies during vibration can be limited through the groove body, so that the consistency of insect body positions in images shot by the camera for multiple times is guaranteed, multi-angle physical features of the insect bodies of unknown types can be recorded and recorded, initial data construction of the insect bodies of the unknown types is facilitated, and the construction efficiency is improved. In addition, the method can achieve the precise recognition of insects which are of the same family or have many same features and are difficult to distinguish, and improves the precision and reliability of the measurement and prediction data.

Description

Technical Field

[0001] The invention relates to the technical field of insect pest monitoring and reporting, and in particular to an intelligent method for monitoring and reporting insect pests in farmland. Background Art

[0002] Smart agriculture is an advanced stage of agricultural production. It is a modern new form and new model based on the Internet of Things and cloud platforms. Smart agriculture promotes the transformation and upgrading of the agricultural industry chain through the intelligence of the production field, the differences in the business field, and the information services in the service field; it realizes the refinement, efficiency and greenness of agriculture, ensures the safety of agricultural products, improves agricultural competitiveness and sustainable development of agriculture. Therefore, smart agriculture is an inevitable trend in the development of agricultural modernization in my country. The prior art with the announcement number CN117291291B discloses an intelligent insect monitoring system and method based on the Internet of Things, which uses an automatic insect monitoring lamp to monitor insect conditions through an intelligent insect monitoring module, collects monitored pest information through a monitoring information collection module and transmits it to a data management center, stores and manages all received data through the data management center, analyzes pest information in different areas through an insect information analysis module, classifies areas, and centrally prevents and controls pests in areas classified into the same category, and dynamically plans the regional division time through the regional division management module, thereby improving the efficiency of pest control through insect monitoring, dynamically dividing the regional division, and improving the effectiveness of centralized pest control.

[0003] The shortcoming of this prior art is that the identification of insect species through visual recognition technology depends on the specific physical features of the insect. However, when the non-feature surface of the insect is facing the camera of the information collection module, the collected insect image cannot be recognized, which frequently leads to misjudgment of the insect information analysis module, greatly affecting the accuracy of the measurement data. Moreover, this prior art cannot make detailed records of unknown insects. Summary of the invention

[0004] In order to solve the above-mentioned problems, the present invention provides a method for intelligent monitoring and reporting of insect pests in farmland.

[0005] The technical solution of the present invention is as follows:

[0006] A method for intelligent prediction and reporting of insect pests in farmland, the specific steps are as follows:

[0007] S1. Arrange several insect monitoring terminals, turn on the trapping light source to lure the pests to the trapping chamber of the insect monitoring terminal, and set a collection bucket under the trapping chamber to collect the pests;

[0008] S2. The pests that fall into the collection bucket are inactivated and then discharged from the lower end of the collection bucket to the receiving surface of the vibration mechanism;

[0009] S3, the vibrating mechanism vibrates to lay the pests flat, the camera collects images of the pests laid flat on the vibrating mechanism, and uploads the pest images to the local processing module, which performs data analysis on the images;

[0010] The vibration mechanism includes a vibration motor, a lower plate and an upper plate arranged in sequence from bottom to top, the surface of the upper plate is densely covered with grooves, a push rod is slidably connected in the groove, the lower end of the push rod passes through the upper plate and is fixed to the lower plate, and a cylinder for driving the upper plate to rise and fall is provided on the lower plate, and the upper plate is raised and lowered to have a first position in which the upper end surface of the push rod is flush with the upper surface of the upper plate, and a second position in which the upper end surface of the push rod is located at the lower part of the groove;

[0011] S4. The local processing module identifies and analyzes the pest images:

[0012] If the local processing module can accurately identify all the insect species and quantities in the image based on the comparison of the insect species image information in the database, then proceed to step S5;

[0013] If the local processing module fails to accurately identify all the types and quantities of insects in the image, the vibration mechanism is activated to further flatten the insects, the cylinder pushes the upper plate to make the push rod located at the second position, and the insects on the surface of the upper plate fall into the adjacent slots, and then step S3 is performed for the second time;

[0014] When the local processing module identifies that the image contains unknown pests, step S3 is repeated, so that the camera captures at least three characteristic surface images of the unknown pests and uploads them to the local processing module;

[0015] S4, the local processing module uploads the analysis results and / or the original image data to the cloud platform via the communication network base station;

[0016] S5. Clean the pests on the upper plate.

[0017] The specific steps for identifying the moths are as follows:

[0018] Step 1: The vibration motor drives the upper plate to vibrate and disperse the insects. The local processing module obtains the dispersion of the insects captured by the camera in real time. When the number of insects of the family of Lycopodiidae dispersed to the area above each trough does not exceed 2, step 2 is executed;

[0019] Step 2: The cylinder pushes the upper plate to the second position, so that the insect body located above the tank body falls into the tank body along with the top of the push rod;

[0020] Step 3: The local processing module drives the vibration motor to vibrate once every 10-15 seconds. Each vibration of the vibration motor lasts for 10-15 seconds to adjust the posture of the insects in the tank. After each vibration of the vibration motor, the camera takes a photo and uploads it to the local processing module. The local processing module analyzes the specific types and quantities of the moths.

[0021] Step 4: Repeat step 3 10-20 times. The local processing module collects statistics on the analysis results of 10-20 times and uploads the statistical results to the cloud terminal through the communication network base station.

[0022] In step 4, if the proportion of a certain insect body being marked as the same type is not less than 90% in the 10-20 analysis results of the local processing module, the certain insect body is marked as the type.

[0023] When the upper plate is raised from the first position to the second position, the field litter is isolated outside the trough due to the large overall structure, and the blowing device is driven to spray horizontal airflow to the upper surface of the upper plate to blow the field litter away from the upper plate.

[0024] The cylinder retracts to reset the upper plate from the second position to the first position, and the insect body in the slot rises to a height flush with the upper surface of the upper plate, and the blowing device is driven to spray horizontal airflow to the upper surface of the upper plate to blow the insect body away from the upper plate.

[0025] A conveyor belt is provided under the upper plate, and an air blowing device sprays a horizontal airflow to blow field litter and / or insect bodies on the surface of the upper plate onto the conveyor belt, and the conveyor belt blows the field litter and / or insect bodies onto the conveyor belt and discharges them along the sewage outlet of the insect monitoring terminal.

[0026] In order to avoid accidental errors in the process of trapping pests and improve the trapping efficiency, the trapping chamber has a plurality of windows with different orientations, each of which has a plurality of guide plates arranged at intervals from top to bottom, and a passage is formed between adjacent guide plates.

[0027] In order to block fallen objects with larger diameters in the external environment, a filter net is provided between adjacent guide plates, and the aperture of the filter net is not less than the maximum diameter of the pests.

[0028] In order to facilitate the inactivation of pests and divert the inactivated pests, the collecting bucket is funnel-shaped; a processing channel is provided at the lower end of the collecting bucket, and the processing channel is axially and rotatably connected with a first electric flap and a second electric flap, and an infrared processing component is provided in the processing channel, and the infrared processing component is located between the first electric flap and the second electric flap, and a diversion port is provided at the lower end of the processing channel.

[0029] In order to enable the insect monitoring terminal to adapt to pests at different flying altitudes, it also includes a supporting column for supporting the insect monitoring terminal. The side wall of the supporting column is provided with a sliding guide rail, and a sliding block is slidably connected in the sliding guide rail. The side wall of the insect monitoring terminal is fixedly connected to the sliding block.

[0030] The beneficial effects of the present invention are:

[0031] 1. The present invention is an intelligent method for monitoring and reporting insect conditions in farmland. First, it can avoid overlapping between insect bodies, which affects the judgment of the types and quantity of insects. It is worth mentioning that when the types and quantities of all insect bodies contained in the picture taken by the camera can be clearly judged, only the first image analysis step is required. If the picture taken by the camera contains unknown species of insects or insect bodies are stacked or there is a non-characteristic surface of the insect body facing the camera, the local processing module will first mark the insect body information and unknown information that can obtain accurate data from the first image analysis, save and upload them, and then perform a second image analysis on the pests. The insect bodies are vibrated and dispersed by the vibration motor and then fall into the slot body with the push rod, so that a single insect body can only vibrate and adjust its position in the slot where it is located, until the characteristic surface of the remaining pests whose species information cannot be identified faces the camera, and the camera shoots the characteristic surface of the pest.

[0032] 2. When there is unrecognizable insect information among the trapped insects, after the insect enters the slot, the position of the insect in the slot is adjusted by the vibration motor. The slot can limit the displacement of the insect when vibration occurs, thereby ensuring the consistency of the insect position in the images taken by the camera multiple times, ultimately reducing the amount of calculation in the data analysis process and improving the accuracy of the calculation results.

[0033] 3. For unknown species of insects, this method can record the detailed, multi-angle physical characteristics of the insects and keep records for filing, which is conducive to the construction of initial data of unknown species of pests, and further promotes the development of regional prevention and early warning work against the invasion of unknown alien species.

[0034] 4. At the same time, it can also accurately identify insects of the same family or those with many common characteristics that are difficult to distinguish, thus improving the accuracy and reliability of the monitoring data.

[0035] 5. It can achieve the effect of cleaning the field litter that falls on the surface of the upper plate, and keep the insect body in the trough body, so as to avoid the field litter covering the insect body and affecting the shooting of the insect body image.

[0036] After the insect information data is transmitted, the insects in the upper plate and the trough can be cleaned to keep the surface of the upper plate and the trough clean, in preparation for the next monitoring and reporting work.

[0037] 6. In order to facilitate the trapping of pests flying from all directions, reduce accidental errors, and increase the accuracy of measurement data, the trapping chamber has several windows in different directions. The passage formed between adjacent guide plates is inclined upward from the outside to the inside, so that the guide plates can guide rainwater to prevent rainwater from entering the trapping chamber. At the same time, this design can also effectively prevent pests that fly into the trapping chamber from flying back and forth out of the trapping chamber, thereby improving the success rate of trapping.

[0038] The setting of the filter net makes it easy to block the litter with larger diameter in the field, preventing the litter with larger diameter in the field from entering the trapping cavity and causing large-area obstruction to the insect body, thus affecting the accuracy of the measurement and reporting data.

[0039] 7. The lower end of the supporting column is buried in the soil and fixed. The trapping height of the insect monitoring terminal can be flexibly controlled through the sliding guide rail and the sliding block, so that the insect monitoring terminal can be adapted to trap and monitor pests at different flying heights, which is more targeted. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] By reading the detailed description of the preferred embodiment below, the scheme and advantages of the present application will become clear to those skilled in the art. The accompanying drawings are only for the purpose of illustrating the preferred embodiment and are not to be considered as limiting the present invention.

[0041] In the attached picture:

[0042] Figure 1 This is one of the structural schematic diagrams of the insect monitoring terminal in the present invention;

[0043] Figure 2 This is the second structural diagram of the insect monitoring terminal in the present invention;

[0044] Figure 3 For the present invention Figure 1 Enlarged view of part A;

[0045] Figure 4 For the present invention Figure 1 Enlarged view of part B;

[0046] Figure 5 This is one of the schematic diagrams of the principle of the intelligent insect monitoring method proposed by the present invention;

[0047] Figure 6 This is the second schematic diagram of the principle of the intelligent insect monitoring method proposed by the present invention;

[0048] Figure 7 This is the third schematic diagram of the principle of the intelligent insect monitoring method proposed by the present invention;

[0049] Figure 8 This is a schematic diagram of the supporting column structure proposed by the present invention;

[0050] The components represented by the reference numerals in the figure are:

[0051] 1. Insect monitoring terminal; 11. Drain outlet; 12. Rain cover; 2. Trapping chamber; 21. Light source; 211. Window; 22. Guide plate; 23. Filter; 3. Collecting bucket; 31. Processing channel; 311. First electric flap; 312. Second electric flap; 4. Vibrating motor; 41. Lower plate; 411. Push rod; 412. Cylinder; 42. Upper plate; 421. Trough; 5. Conveyor belt; 6. Camera; 7. Support column; 71. Sliding guide rail; 72. Sliding block. DETAILED DESCRIPTION

[0052] The exemplary embodiments of the present disclosure will be described in more detail below in conjunction with the accompanying drawings. It should be noted that these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. The present disclosure can be implemented in various forms and should not be limited by the embodiments described herein.

[0053] Example

[0054] Reference Figure 1-Figure 7 , a method for intelligent prediction and reporting of insect pests in farmland, the specific steps are as follows:

[0055] S1. Arrange several insect monitoring terminals 1, turn on the trapping light source 21 to lure the pests to the trapping chamber 2 of the insect monitoring terminal 1, and collect the pests in the collecting bucket 3; the staff preferably adopts the "five-point sampling method" to assume the insect monitoring terminal 1 according to the farmland coverage area to increase the accuracy of the monitoring results. Preferably, in order to facilitate the diversion of the insect body so that the insect body can move to the next station under the action of its own gravity, the collecting bucket 3 is funnel-shaped.

[0056] S2, the pests that fall into the collecting bucket 3 are inactivated and discharged from the lower end of the collecting bucket 3 to the receiving surface of the vibration mechanism; Figure 1 and Figure 2 Before image analysis of the trapped pests, the pests are inactivated by infrared equipment, which helps to ensure the integrity of the insect body and keep the insect body still when taking pictures, thus ensuring the clarity of the insect body in the captured image.

[0057] S3, the vibrating mechanism vibrates to lay the pests flat, the camera 6 is aimed at the pests laid flat on the vibrating mechanism to take pictures and record, and the acquired images are uploaded to the local processing module, and the local processing module performs data analysis on the images;

[0058] The vibration mechanism includes a vibration motor 4, a lower plate 41 and an upper plate 42 which are arranged in sequence from bottom to top. The surface of the upper plate 42 is densely covered with grooves 421. A push rod 411 is slidably connected in the groove 421. The lower end of the push rod 411 passes through the upper plate 42 and is fixed to the lower plate 41. The lower plate 41 is provided with a cylinder 412 for driving the upper plate 42 to rise and fall. The upper plate 42 rises and falls to have a first position in which the upper end surface of the push rod 411 is flush with the upper surface of the upper plate 42, and a second position in which the upper end surface of the push rod 411 is located at the lower part of the groove 421.

[0059] S4. The local processing module adopts the following operation in case 1 or case 2 according to the analysis result obtained by executing step S3 for the first time:

[0060] If the local processing module can accurately identify all insect species and quantities in the image based on the comparison of insect species image information in the database, step S5 is performed; the database can store insect species image information, which is the same as the existing visual recognition comparison method and will not be repeated here.

[0061] If the local processing module fails to accurately identify all the types and quantities of the insects in the image, the vibration mechanism is activated to further flatten the insects, and the cylinder 412 pushes the upper plate 42 to make the push rod 411 located at the second position, and the insects on the surface of the upper plate 42 fall into the nearby groove 421, and then step S3 is performed for the second time;

[0062] When the local processing module identifies that the image contains unknown pests, step S3 is repeated to allow the camera 6 to capture at least three characteristic surface images of the unknown pests and upload them to the local processing module;

[0063] S4, the local processing module uploads the analysis results and / or the original image data to the cloud platform via the communication network base station;

[0064] S5, cleaning the pests on the upper plate 42.

[0065] By performing the above method of performing the first image analysis on pests, it is first possible to avoid the overlap between insect bodies, which affects the determination of the types and quantity of the insects. It is worth mentioning that when the types and quantities of all insect bodies contained in the picture taken by the camera 6 can be clearly determined, only the first image analysis step is required. If the picture taken by the camera 6 contains insects of unknown species or a stack of insect bodies, a second image analysis is performed on the pests. The insect bodies are vibrated and dispersed by the vibration motor 4 and then dropped into the slot 421 with the push rod 411, so that a single insect body can only vibrate and adjust its position in the slot 421 where it is located. After the insect body enters the slot 421, the vibration motor 4 is used to adjust the position of the insect body in the slot 421. The slot 421 can limit the displacement of the insect body when vibration occurs, thereby ensuring the consistency of the insect body position in the images taken by the camera 6 for multiple times, and ultimately reducing the amount of calculation in the data analysis process and the accuracy of the calculation results. For unknown species of insects, the above method can be used to record the detailed, multi-angle physical characteristics of the insects and keep records for filing, which is conducive to the construction of initial data on unknown species of pests, and further promotes the development of regional prevention and early warning work against the invasion of unknown alien species.

[0066] The specific steps for identifying the moths are as follows:

[0067] Step 1: The vibration motor 4 drives the upper plate 42 to vibrate and disperse the insects, and the local processing module obtains the dispersion of the insects captured by the camera 6 in real time. When the number of insects of the family of Gnaphalidae dispersed to the area above each slot 421 does not exceed 2, step 2 is executed;

[0068] Step 2: The cylinder 412 pushes the upper plate 42 to the second position, so that the insect body located above the groove body 421 falls into the groove body 421 along with the top of the push rod 411;

[0069] Step 3: The local processing module drives the vibration motor 4 to vibrate once every 10-15 seconds, and each vibration of the vibration motor 4 lasts 10-15 seconds to adjust the posture of the insect body in the slot 421. After each vibration of the vibration motor 4, the camera 6 takes a photo and uploads it to the local processing module, and the local processing module analyzes the specific types and quantities of the moth insects;

[0070] Step 4: Repeat step 3 10-20 times. The local processing module collects statistics on the analysis results of 10-20 times and uploads the statistical results to the cloud terminal through the communication network base station.

[0071] The above method can be used to accurately identify insects of the same family or those with many common characteristics that are difficult to distinguish, thereby improving the accuracy and reliability of the monitoring data.

[0072] Specifically, in step 4, if the repetition rate of the marked species of the insect body in 10-20 analysis results of the local processing module is between 90% and 100%, the insect body is determined to be the marked species.

[0073] As a preferred embodiment of the present application, refer to Figure 4 When the upper plate 42 is raised from the first position to the second position, the field litter is isolated outside the trough 421, and the blowing device is driven to spray horizontal airflow on the upper surface of the upper plate 42 to blow the field litter away from the upper plate 42. This step can achieve the effect of cleaning the field litter falling on the surface of the upper plate 42, and keep the insect body in the trough 421, so as to avoid the field litter covering the insect body and affecting the shooting of the insect body image.

[0074] Furthermore, the cylinder 412 is retracted to reset the upper plate 42 from the second position to the first position, and the insect body in the groove 421 is raised to a height flush with the upper surface of the upper plate 42, and the blowing device is driven to spray horizontal airflow to the upper surface of the upper plate 42 to blow the insect body away from the upper plate 42.

[0075] Furthermore, a conveyor belt 5 is provided under the upper plate 42, and the blowing device sprays a horizontal airflow to blow the field litter and / or insect bodies on the surface of the upper plate 42 onto the conveyor belt 5. The conveyor belt 5 blows the field litter and / or insect bodies to the conveyor belt 5 and discharges them along the sewage outlet 11 of the insect monitoring terminal 1 so as to keep the interior of the insect monitoring terminal 1 clean and avoid the accumulation of insect bodies or field fallen objects.

[0076] As a preferred embodiment of the trapping chamber 2, refer to Figure 1-Figure 2 In order to facilitate the trapping of pests flying from all directions, reduce accidental errors, and increase the accuracy of the measurement data, the trapping chamber 2 has a plurality of windows 211 in different directions, and each window 211 is arranged with a plurality of guide plates 22 at intervals from top to bottom, and a passage is formed between adjacent guide plates 22.

[0077] It is worth mentioning that, referring to Figure 1-Figure 3 A filter 23 is provided between adjacent guide plates 22, and the aperture of the filter 23 is not less than the maximum diameter of the pest. The filter 23 is provided to block the litter with a larger diameter in the field, so as to prevent the litter with a larger diameter in the field from entering the trapping chamber 2 and causing large-area obstruction to the insect body, thereby affecting the accuracy of the measurement and reporting data.

[0078] A processing channel 31 is provided at the lower end of the collecting hopper 3. The processing channel 31 is axially spaced and rotatably connected with a first electric flap 311 and a second electric flap 312. An infrared processing component is provided in the processing channel 31. The infrared processing component is located between the first electric flap 311 and the second electric flap 312. A guide port is provided at the lower end of the processing channel 31. The insects entering the collecting hopper 3 fall on the first electric flap 311. The first electric flap 311 turns over to guide the upper insects between the first flap 311 and the second electric flap 312. The infrared processing component inactivates the insects by irradiating the insects on the second electric flap 312.

[0079] As a preferred embodiment of the present application, refer to Figure 8 , and also includes a support column 7 for supporting the insect monitoring terminal 1. The side wall of the support column 7 is provided with a sliding guide rail 71. A sliding block 72 is slidably connected in the sliding guide rail 71. The side wall of the insect monitoring terminal 1 is fixedly connected to the sliding block 72. The lower end of the support column 7 is buried in the soil and fixed. The trapping height of the insect monitoring terminal 1 can be flexibly controlled by the sliding guide rail 71 and the sliding block 72, so that the insect monitoring terminal 1 can adapt to trapping and monitoring pests at different flying heights, which is more targeted.

[0080] As a preferred embodiment of the present application, refer to Figure 5-Figure 7 In step S3, the local processing module includes an image receiving module for receiving images uploaded by the camera 6, an image analysis processing module for analyzing the images, and a result uploading module for uploading the obtained analysis data to the cloud platform.

[0081] The cloud platform includes a data aggregation storage module for storing analysis data of the local processing module, a task distribution module for distributing measurement and reporting tasks to any local processing module interconnected therewith, and a remote operation supervision module for controlling any local processing module interconnected therewith.

[0082] The cloud platform aggregates the insect information data uploaded by multiple local processing modules interconnected with it, and the insect information data aggregated by the cloud platform can be downloaded by any insect monitoring terminal 1 interconnected with it.

[0083] In step S3, the local processing module also includes a computing power request module, and the cloud platform includes a computing power management module. When the local processing module of any insect monitoring terminal 1 has insufficient computing power during the image analysis and processing, the local processing module sends a computing power request signal to the cloud platform through the communication network base station. The cloud platform controls the other insect monitoring terminals 1 interconnected with it through the computing power management module to provide computing power support for the insect monitoring terminal 1 with insufficient computing power. The above method can not only significantly improve the monitoring efficiency, but also realize the sharing of the results of insect monitoring data, which greatly improves people's grasp of the dynamic changes of insect conditions. In addition, it is worth mentioning that the cloud platform can not only realize the aggregation of data uploaded by multiple insect monitoring terminals 1, but also realize the aggregation of all domestic insect monitoring data through the 5G network, thereby forming a database. The analysis of insect data can greatly reduce the amount of pesticides used in the process of agricultural product cultivation, which has a significant driving effect on agricultural development. It should be noted that the communication and control methods between the cloud platform and the local processing module can refer to the disclosure of the invention patent with application number CN202111623115.2, and the computing power management and shared computing power technology between the cloud platform and multiple local processing modules can refer to the disclosure of the invention patent with application number CN202111595779.2. These are all prior arts understood by those skilled in the art and will not be elaborated here.

[0084] Reference Figure 1-Figure 3 In step S1, the trapping chamber 2 has a plurality of windows 211 with different orientations, each window 211 is arranged with a plurality of guide plates 22 from top to bottom, and a passage is formed between adjacent guide plates 22. The passage formed between adjacent guide plates 22 is inclined upward from outside to inside, so that the guide plates 22 guide rainwater to prevent rainwater from entering the trapping chamber 2. At the same time, this design can also effectively prevent the pests that fly into the trapping chamber 2 from returning and flying out of the trapping chamber 2, thereby improving the success rate of trapping. In addition, a rain cover 12 is provided on the top of the insect situation monitoring terminal 1, and the setting of the rain cover 12 can further prevent rain and snow from entering the trapping chamber 2.

Claims

1. A method for intelligent prediction and reporting of insect pests in farmland, characterized in that: The specific steps are as follows: S1, arranging a plurality of insect monitoring terminals (1), turning on a trapping light source (21) to lure pests into a trapping cavity (2) of the insect monitoring terminal (1), and setting a collecting bucket (3) below the trapping cavity (2) to collect the pests; S2, the pests that fall into the collecting bucket (3) are inactivated and then discharged from the lower end of the collecting bucket (3) to the receiving surface of the vibration mechanism; S3, the vibrating mechanism vibrates to lay the pests flat, and the camera (6) collects images of the pests laid flat on the vibrating mechanism and uploads the images of the pests to a local processing module; The vibration mechanism comprises a vibration motor (4), a lower plate (41) and an upper plate (42) which are arranged in sequence from bottom to top; the surface of the upper plate (42) is densely covered with grooves (421); a push rod (411) is slidably connected in the grooves (421); the lower end of the push rod (411) passes through the upper plate (42) and is fixed to the lower plate (41); a cylinder (412) is provided on the lower plate (41) for driving the upper plate (42) to rise and fall; the upper plate (42) rises and falls to have a first position in which the upper end surface of the push rod (411) is flush with the upper surface of the upper plate (42), and a second position in which the upper end surface of the push rod (411) is located below the grooves (421); S4, local processing module identifies and analyzes pest images; If the local processing module can identify all the types and quantities of insects in the image based on the comparison of the image information of the insect types in the database, then step S5 is executed; If the local processing module fails to identify all the types and quantities of the insect bodies in the image, the vibration mechanism is activated to further flatten the insects, the cylinder (412) pushes the upper plate (42) to make the push rod (411) located at the second position, and the insect bodies on the surface of the upper plate (42) fall into the adjacent groove (421), and step S3 is executed; When the local processing module identifies that the image contains an unknown type of pest, step S3 is repeated, so that the camera (6) captures at least three characteristic surface images of the unknown type of pest and uploads them to the local processing module; S5, the local processing module uploads the analysis results and / or the original image data to the cloud platform via the communication network base station; S6. Clean the pests on the upper plate (42).

2. The method for intelligent prediction of insect pests in farmland according to claim 1, characterized in that: The specific steps for identifying the moths are as follows: Step 1: The vibration motor (4) drives the upper plate (42) to vibrate and disperse the insect bodies, and the local processing module obtains the dispersion of the insect bodies captured by the camera (6) in real time. When the number of insect bodies of the family of Gnaphalidae dispersed to the area above each trough (421) does not exceed 2, step 2 is executed; Step 2: The cylinder (412) pushes the upper plate (42) to the second position, so that the insect body located above the trough body (421) falls into the trough body (421) along with the top end of the push rod (411); Step 3: The local processing module drives the vibration motor (4) to vibrate once every 10-15 seconds, and each vibration of the vibration motor (4) lasts for 10-15 seconds to adjust the posture of the insect body in the tank (421). After each vibration of the vibration motor (4), the camera (6) takes a photo and uploads it to the local processing module, and the local processing module analyzes the specific types and quantities of the moth insects; Step 4: Repeat step 3 10-20 times. The local processing module collects statistics on the analysis results of 10-20 times and uploads the statistical results to the cloud terminal through the communication network base station.

3. The method for intelligent forecasting of insect pests in farmland according to claim 2, characterized in that: In step 4, if the proportion of a certain insect body being marked as the same type is not less than 90% in the 10-20 analysis results of the local processing module, the certain insect body is marked as the type.

4. The method for intelligent prediction of insect pests in farmland according to claim 1, characterized in that: When the upper plate (42) is raised from the first position to the second position, field litter is isolated outside the trough body (421) due to the large overall structure, and the blowing device is driven to spray horizontal airflow onto the upper surface of the upper plate (42) to blow the field litter away from the upper plate (42).

5. The method for intelligent prediction and reporting of insect pests in farmland according to claim 4, characterized in that: The cylinder (412) is retracted to reset the upper plate (42) from the second position to the first position, and the insect body in the groove body (421) is raised to a height flush with the upper surface of the upper plate (42), and the blowing device is driven to spray a horizontal airflow on the upper surface of the upper plate (42) to blow the insect body away from the upper plate (42).

6. The method for intelligent prediction and reporting of insect pests in farmland according to claim 5, characterized in that: A conveyor belt (5) is provided below the upper plate (42), and an air blowing device sprays a horizontal airflow to blow field litter and / or insect bodies on the surface of the upper plate (42) onto the conveyor belt (5), and the conveyor belt (5) blows the field litter and / or insect bodies to the conveyor belt (5) and discharges them along a sewage outlet (11) of the insect monitoring terminal (1).

7. The method for intelligent prediction of insect pests in farmland according to claim 1, characterized in that: In step S1, the trapping chamber (2) has a plurality of windows (211) with different orientations, each of the windows (211) has a plurality of guide plates (22) arranged at intervals from top to bottom, and a passage is formed between adjacent guide plates (22).

8. The method for intelligent forecasting of insect pests in farmland according to claim 7, characterized in that: A filter screen (23) is provided between adjacent guide plates (22), and the aperture of the filter screen (23) is not less than the maximum diameter of the pests.

9. The method for intelligent forecasting of insect pests in farmland according to claim 1, characterized in that: The collecting hopper (3) is funnel-shaped; a processing channel (31) is provided at the lower end of the collecting hopper (3); the processing channel (31) is axially spaced and rotatably connected to a first electric flap (311) and a second electric flap (312); an infrared processing component is provided in the processing channel (31); the infrared processing component is located between the first electric flap (311) and the second electric flap (312); and a guide port is provided at the lower end of the processing channel (31).

10. The method for intelligently monitoring and reporting insect pests in farmland according to any one of claims 1 to 9, characterized in that: It also comprises a support column (7) for supporting the insect monitoring terminal (1), the side wall of the support column (7) being provided with a sliding guide rail (71), a sliding block (72) being slidably connected inside the sliding guide rail (71), and the side wall of the insect monitoring terminal (1) being fixedly connected to the sliding block (72).

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