An intelligent farmland pest situation measuring and reporting method

Abstract

A kind of farmland pest intelligence measuring and reporting method, specific steps are as follows: S1, pest trapping;S2, pest treatment;S3, vibration mechanism vibration will flatten pests, camera aims at the pests flattened on vibration mechanism and takes photograph record;S4, local processing module will analysis result and / or image raw data be uploaded to cloud platform through communication network base station;S5, the cleaning of pests located on the upper plate;The present application can limit the displacement of worm body when vibration occurs by groove, thereby guaranteeing the consistency of worm body position in multiple image shooting of camera, can record the multi-angle physical features of unknown species worm body and record, is beneficial to unknown species pest initial data construction, can also accurately identify the same species, or the worm class with many same characteristics, difficult to distinguish, improve the accuracy and reliability of measuring and reporting data.

Description

Technical Field

[0001] This invention relates to the field of insect pest monitoring and forecasting technology, specifically to an intelligent method for monitoring and forecasting insect pests in farmland. Background Technology

[0002] Smart agriculture represents an advanced stage of agricultural production, a modern new business model and paradigm based on the Internet of Things (IoT) and cloud platforms. Through intelligent production, differentiated management, and comprehensive information services, smart agriculture drives the transformation and upgrading of the agricultural industry chain; achieving refined, efficient, and green agriculture; ensuring agricultural product safety; enhancing agricultural competitiveness; and promoting sustainable agricultural development. Therefore, smart agriculture is an inevitable trend in my country's agricultural modernization. Existing technology, with announcement number CN117291291B, discloses an IoT-based intelligent pest monitoring system and method. This system uses an automatic pest monitoring lamp to monitor pests via an intelligent pest monitoring module. A monitoring information acquisition module collects pest information and transmits it to a data management center, which stores and manages all received data. A pest information analysis module analyzes pest information from different regions, classifies the regions, and focuses on controlling pests within the same category. A region division management module dynamically plans the timeframe for region division, improving the efficiency of pest monitoring for pest control and enhancing the effectiveness of centralized pest control through dynamic region division.

[0003] The shortcoming of this existing technology is that the identification of insect species through visual recognition technology depends on the specific physical characteristics of the insect. However, when the non-featured side of the insect is facing the camera of the information acquisition module, the collected insect images cannot be identified, which frequently leads to misjudgments by the insect information analysis module and greatly affects the accuracy of the monitoring data. Moreover, this existing technology cannot record unknown insect species in detail. Summary of the Invention

[0004] To address the aforementioned problems, this invention provides an intelligent method for monitoring and forecasting agricultural pests.

[0005] The technical solution of this invention is as follows: A smart pest monitoring and forecasting method for farmland includes the following steps: S1. Set up 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 up a collection bucket below the trapping chamber to collect the pests. S2. After being inactivated, the pests that fall into the collection hopper are discharged from the bottom of the collection hopper to the receiving surface of the vibration mechanism. S3. The vibration mechanism spreads the pests out flat. The camera captures images of the pests spread out on the vibration mechanism and uploads the images to the local processing module. The local processing module performs data analysis on the images. The vibration mechanism includes a vibration motor, a lower plate, and an upper plate arranged sequentially from bottom to top. The surface of the upper plate is densely covered with grooves, and 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. The lower plate is equipped with a cylinder for driving the upper plate to lift. The upper plate is lifted to have a first position where the upper end face of the push rod is flush with the upper surface of the upper plate, and a second position where the upper end face of the push rod is located at the lower part of the groove. S4. The local processing module identifies and analyzes pest images: If the local processing module can accurately identify all insect species and quantities in the image by comparing the insect species image information in the database, then proceed to step S5. If the local processing module fails to accurately identify all insect species and quantities in the image, the vibration mechanism is activated to further spread the pests. The cylinder pushes the upper plate to position the push rod in the second position, and the insects on the surface of the upper plate fall into the adjacent groove. Then, step S3 is executed for the second time. When the local processing module identifies that the image contains an unknown type of pest, step S3 is repeated so that the camera captures at least three feature images of the unknown type of pest and uploads them to the local processing module. S4. The local processing module uploads the analysis results and / or raw image data to the cloud platform via the communication network base station. S5. Clean up the pests located on the upper board.

[0006] The specific steps for identifying insects of the family Triticum aestivum are as follows: Step 1: The vibration motor drives the upper plate to vibrate and disperse the insects. The local processing module acquires the dispersion of the insects in real time from the camera. When no more than 2 insects of the gracilis family are dispersed into the area above each tank, proceed to Step 2. Step 2: The cylinder pushes the upper plate to the second position, causing the insect body located above the tank to fall into the tank along with the top of the push rod; Step 3: The local processing module drives the vibration motor to vibrate once every 10-15 seconds. Each vibration lasts for 10-15 seconds to adjust the posture of the insects in the tank. After each vibration, the camera takes a picture and uploads it to the local processing module. The local processing module analyzes the specific species and quantity of the moths. Step 4: Repeat Step 3 10-20 times. The local processing module will statistically analyze the results of the 10-20 analyses and upload the results to the cloud terminal via the communication network base station.

[0007] In step four, if the proportion of a certain insect body marked as belonging to the same species is not less than 90% in the 10-20 analysis results of the local processing module, then the certain insect body will be marked as belonging to that species.

[0008] When the upper plate descends from the first position to the second position, the field debris is isolated outside the trough due to the large overall structure. The driving air blowing device sprays horizontal airflow onto the upper surface of the upper plate to blow the field debris away from the upper plate.

[0009] The cylinder retraction resets the upper plate from the second position to the first position, raising the insect inside the tank to a height level with the upper plate's surface. The blowing device then sprays a horizontal airflow onto the upper plate's surface, blowing the insect away from the plate.

[0010] A conveyor belt is installed below the upper plate. The blowing device sprays horizontal airflow to blow field debris and / or insects on the surface of the upper plate onto the conveyor belt. The conveyor belt blows the field debris and / or insects onto the conveyor belt and discharges them along the sewage outlet of the insect monitoring terminal.

[0011] To avoid accidental errors during the pest trapping process and improve trapping efficiency, the trapping chamber has several windows facing different directions. Each window has several guide plates arranged at intervals from top to bottom, and a passageway is formed between adjacent guide plates.

[0012] In order to block large-diameter debris from the external environment, a filter screen is provided between adjacent guide plates, and the pore size of the filter screen is not less than the maximum diameter of the pest.

[0013] To facilitate the inactivation of pests and guide the inactivated pests away, the collection hopper is funnel-shaped; the lower end of the collection hopper is provided with a processing channel, and the processing channel is axially rotatably connected with a first electric flap and a second electric flap, and an infrared processing component is provided in the processing channel, which is located between the first electric flap and the second electric flap, and a guide port is provided at the lower end of the processing channel.

[0014] In order to enable the pest monitoring terminal to adapt to pests at different flight altitudes, a support column is also included to support the pest monitoring terminal. The side wall of the support 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 pest monitoring terminal is fixedly connected to the sliding block.

[0015] The beneficial effects of this invention are as follows: 1. This invention is an intelligent pest monitoring method for farmland. First, it can avoid the overlap of insects, which would affect the judgment of insect species and quantity. It is worth mentioning that when the species and quantity of all insects in the image captured by the camera can be clearly identified, only the first image analysis step is required. If the image captured by the camera contains insects of unknown species, insects stacked together, or insects with non-featured faces facing the camera, the local processing module first marks, saves and uploads the insect information that can be accurately obtained from the first image analysis and the unknowns. Then, a second image analysis is performed on the pests. The insects are dispersed by vibration motors and then lowered into the tank by push rods, so that each insect can only vibrate and adjust its position within its own tank until the feature faces of the remaining pests whose species information cannot be identified are facing the camera. Then, the camera captures the feature faces of the pests.

[0016] 2. When there are unidentifiable insects among the trapped insects, the insects are positioned by a vibration motor after entering the tank. The tank can limit the displacement of the insects when vibration occurs, thereby ensuring the consistency of the insect position in multiple images captured by the camera. This ultimately reduces the amount of computation in the data analysis process and improves the accuracy of the calculation results.

[0017] 3. For insects of unknown species, this method can record detailed, multi-angle physical characteristics of the insects and keep records, which is conducive to the construction of initial data on unknown pest species, and thus promotes the development of prevention and early warning work against the invasion of unknown alien species in the region.

[0018] 4. At the same time, it can also accurately identify insects of the same family or insects with many similar characteristics that are difficult to distinguish, thus improving the accuracy and reliability of the monitoring data.

[0019] 5. It can effectively clean up field debris that falls on the surface of the upper plate and keep the insects in the tank, preventing field debris from obscuring the insects and affecting the capture of insect images.

[0020] It can also clean the insects on the upper plate and in the tank after the insect information data transmission is completed, keeping the surface of the upper plate and the tank clean and preparing for the next monitoring and reporting work.

[0021] 6. To facilitate the effective trapping of pests flying in from all directions, reduce random errors, and increase the accuracy of monitoring data, the trapping chamber has several windows facing different directions. The passageway formed between adjacent guide plates slopes upward from the outside to the inside, so that the guide plates guide rainwater and 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 out of the trapping chamber, thus improving the success rate of trapping.

[0022] The filter screen helps to block larger-diameter fallen debris from entering the trapping chamber, preventing it from obscuring the insects and affecting the accuracy of the monitoring data.

[0023] 7. The lower end of the support column is buried in the soil for fixation. The trapping height of the insect monitoring terminal can be flexibly controlled by the sliding guide rail and sliding block, so that the insect monitoring terminal can be adapted to trapping and monitoring pests at different flight heights, making it more targeted. Attached Figure Description

[0024] The solutions and advantages of this application will become clear to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of the invention.

[0025] In the attached diagram: Figure 1 This is one of the structural schematic diagrams of the insect pest monitoring terminal in this invention; Figure 2 This is the second schematic diagram of the insect monitoring terminal in this invention; Figure 3 For the present invention Figure 1 Enlarged view of section A in the middle; Figure 4 For the present invention Figure 1 Enlarged view of section B; Figure 5 This is one of the schematic diagrams illustrating the principle of the intelligent insect pest monitoring and forecasting method proposed in this invention; Figure 6 This is the second schematic diagram illustrating the principle of the intelligent insect pest monitoring and forecasting method proposed in this invention; Figure 7 This is the third schematic diagram illustrating the principle of the intelligent insect pest monitoring and forecasting method proposed in this invention; Figure 8 This is a schematic diagram of the supporting column structure proposed in this invention; The components represented by the various reference numerals in the diagram are: 1. Insect monitoring terminal; 11. Sewage outlet; 12. Rain cover; 2. Trapping chamber; 21. Light source; 211. Window; 22. Guide plate; 23. Filter screen; 3. Collection hopper; 31. Processing channel; 311. First electric flip plate; 312. Second electric flip plate; 4. Vibration motor; 41. Lower plate; 411. Push rod; 412. Cylinder; 42. Upper plate; 421. Tank; 5. Conveyor belt; 6. Camera; 7. Support column; 71. Sliding guide rail; 72. Sliding block. Detailed Implementation

[0026] Exemplary embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. It should be noted that these embodiments are provided to enable a more thorough understanding of this disclosure and to fully convey the scope of this disclosure to those skilled in the art. This disclosure can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0027] Example Reference Figures 1-7 A smart pest monitoring and forecasting method for farmland includes the following steps: S1. Deploy several insect pest monitoring terminals 1, turn on the trapping light source 21 to lure pests to the trapping chamber 2 of the insect pest monitoring terminal 1, and collect the pests in the collection bucket 3; the staff preferably uses the "five-point sampling method" to assume the insect pest monitoring terminals 1 according to the farmland coverage area to increase the accuracy of the monitoring results. Preferably, in order to facilitate the flow of insects and allow them to move to the next station under their own gravity, the collection bucket 3 is funnel-shaped.

[0028] S2. After the pests that fall into the collecting hopper 3 are inactivated, they are discharged from the lower end of the collecting hopper 3 to the receiving surface of the vibration mechanism; refer to Figure 1 and Figure 2 Before performing image analysis on the trapped pests, inactivation treatment using infrared equipment helps to ensure the integrity of the insect body while keeping the insect body still during the photo capture, thus ensuring the clarity of the insect body in the captured image.

[0029] S3. The vibration mechanism vibrates to spread the pests flat. The camera 6 is aimed at the pests spread on the vibration mechanism to take pictures and record them. The acquired images are uploaded to the local processing module, which performs data analysis on the images. The vibration mechanism includes a vibration motor 4, a lower plate 41, and an upper plate 42 arranged sequentially 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. 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 a first position where the upper end face of the push rod 411 is flush with the upper surface of the upper plate 42, and a second position where the upper end face of the push rod 411 is located at the lower part of the grooves 421. S4. The local processing module will perform either Case 1 or Case 2 based on the analysis results obtained from the first execution of step S3: If the local processing module can accurately identify all insect species and quantities in the image by comparing the insect species image information in the database, then proceed to step S5; the database can store insect species image information, which is the same as the existing visual recognition comparison method, so it will not be described in detail.

[0030] If the local processing module fails to accurately identify all insect species and quantities in the image, the vibration mechanism is activated to further spread the pests. The cylinder 412 pushes the upper plate 42 to make the push rod 411 in the second position. The insects on the surface of the upper plate 42 fall into the nearby trough 421, and then step S3 is executed for the second time. 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 feature 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 raw image data to the cloud platform via the communication network base station. S6. Cleaning of pests located on the upper plate 42.

[0031] The method described above for the first image analysis of pests can avoid overlapping between insects, which would affect the identification of insect species and numbers. It is worth mentioning that if the species and number of all insects in the image captured by camera 6 can be clearly identified, only the first image analysis step is required. If the image captured by camera 6 contains insects of unknown species or insects piled up, a second image analysis is performed. The insects are dispersed by vibration motor 4 and then lowered into the tank 421 by push rod 411. This ensures that each insect can only vibrate and adjust its position within its own tank 421. After entering the tank 421, the insects are repositioned by vibration motor 4. The tank 421 can limit the displacement of the insects during vibration, thereby ensuring the consistency of insect positions in multiple images captured by camera 6. Ultimately, this reduces the computational load of the data analysis process and improves the accuracy of the calculation results. For insects of unknown species, the above method can be used to record detailed, multi-angle physical characteristics of the insects and keep records, which is conducive to the construction of initial data on unknown pest species, and thus promotes the development of prevention and early warning work against the invasion of unknown alien species in the region.

[0032] The specific steps for identifying insects of the family Triticum aestivum are as follows: Step 1: Vibration motor 4 drives upper plate 42 to vibrate and disperse the insects. The local processing module acquires the insect dispersion status captured by camera 6 in real time. When no more than 2 insects of the gracilis family are dispersed into the area above each tank 421, step 2 is executed. Step 2: Cylinder 412 pushes the upper plate 42 to the second position, causing the insect body located above the tank 421 to fall into the tank 421 along with the top of the push rod 411; Step 3: The local processing module drives the vibration motor 4 to vibrate once every 10-15 seconds. Each vibration of the vibration motor 4 lasts for 10-15 seconds, adjusting the posture of the insects in the tank 421. After each vibration of the vibration motor 4, the camera 6 takes a picture and uploads it to the local processing module. The local processing module analyzes the specific species and quantity of the moths. Step 4: Repeat Step 3 10-20 times. The local processing module will statistically analyze the results of the 10-20 analyses and upload the results to the cloud terminal via the communication network base station.

[0033] The above methods can be used to accurately identify insects of the same family or those with many similar characteristics that are difficult to distinguish, thereby improving the accuracy and reliability of monitoring and forecasting data.

[0034] Specifically, in step four, if the repetition rate of the marked species of the insect body is between 90% and 100% in the 10-20 analysis results of the local processing module, the insect body is determined to be the marked species.

[0035] As a preferred embodiment of this application, refer to Figure 4 When the upper plate 42 descends from the first position to the second position, the field debris is isolated outside the trough 421. The blowing device then sprays a horizontal airflow onto the upper surface of the upper plate 42, blowing the field debris away from the upper plate 42. This step effectively cleans up the field debris that has fallen onto the surface of the upper plate 42, while keeping the insects inside the trough 421, preventing the field debris from obscuring the insects and affecting the capture of insect images.

[0036] Furthermore, the cylinder 412 retracts, causing the upper plate 42 to return from the second position to the first position. The insect in the tank 421 rises to a height level with the upper surface of the upper plate 42, and the blowing device is driven to spray a horizontal airflow onto the upper surface of the upper plate 42 to blow the insect away from the upper plate 42.

[0037] Furthermore, a conveyor belt 5 is provided below the upper plate 42. The blowing device sprays horizontal airflow to blow field debris and / or insects on the surface of the upper plate 42 onto the conveyor belt 5. The conveyor belt 5 blows the field debris and / or insects onto the conveyor belt 5 and discharges them along the sewage outlet 11 of the insect monitoring terminal 1 in order to keep the inside of the insect monitoring terminal 1 clean and avoid the accumulation of insects or field debris.

[0038] As a preferred embodiment of the trapping chamber 2, refer to Figures 1-2 In order to facilitate the trapping of pests flying in from all directions, reduce random errors, and increase the accuracy of monitoring data, the trapping chamber 2 has several windows 211 facing different directions. Each window 211 has several guide plates 22 arranged at intervals from top to bottom, and a passageway is formed between adjacent guide plates 22.

[0039] It is worth mentioning that, referring to Figures 1-3 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 pest. The filter screen 23 is designed to block larger-diameter fallen debris in the field, preventing it from entering the trapping chamber 2 and causing large-area obstruction of the insects, thus affecting the accuracy of the monitoring data.

[0040] The lower end of the collection hopper 3 is provided with a processing channel 31. The processing channel 31 is axially rotatably connected to a first electric flap 311 and a second electric flap 312. An infrared processing component is provided inside the processing channel 31, located between the first electric flap 311 and the second electric flap 312. The lower end of the processing channel 31 is provided with a guide port. Insects entering the collection hopper 3 fall onto the first electric flap 311. The first electric flap 311 flips to guide the insects above it between the first electric flap 311 and the second electric flap 312. The infrared processing component inactivates the insects on the second electric flap 312 by irradiating them.

[0041] As a preferred embodiment of this application, refer to Figure 8 It also includes a support column 7 for supporting the insect pest monitoring terminal 1. The side wall of the support column 7 is provided with a sliding guide rail 71, and a sliding block 72 is slidably connected inside the sliding guide rail 71. The side wall of the insect pest monitoring terminal 1 is fixedly connected to the sliding block 72. The lower end of the support column 7 is buried and fixed in the soil. The trapping height of the insect pest monitoring terminal 1 can be flexibly controlled by the sliding guide rail 71 and the sliding block 72, thereby making the insect pest monitoring terminal 1 adaptable to trapping and monitoring pests at different flight heights, making it more targeted.

[0042] As a preferred embodiment of this application, refer to Figures 5-7 In step S3, the local processing module includes an image receiving module for receiving images uploaded by camera 6, an image analysis and processing module for analyzing the images, and a result uploading module for uploading the obtained analysis data to the cloud platform.

[0043] The cloud platform includes a data aggregation and storage module for storing analysis data from local processing modules, a task distribution module for distributing monitoring and reporting tasks to any interconnected local processing modules, and a remote operation monitoring module for controlling any interconnected local processing modules.

[0044] The cloud platform aggregates insect pest information data uploaded by multiple interconnected local processing modules, and the aggregated insect pest information data can be downloaded by any interconnected insect pest monitoring terminal 1.

[0045] In step S3, the local processing module further includes a computing power request module, and the cloud platform includes a computing power management module. When the local processing module of any insect pest monitoring terminal 1 experiences insufficient computing power during image analysis and processing, it sends a computing power request signal to the cloud platform through a communication network base station. The cloud platform, through the computing power management module, controls the other interconnected insect pest monitoring terminals 1 to provide computing power support to the terminal 1 with insufficient computing power. This method not only significantly improves monitoring efficiency but also enables the sharing of insect pest monitoring data results, greatly enhancing people's understanding of the dynamic changes in insect pests. Furthermore, it is worth mentioning that the cloud platform can not only aggregate data uploaded by multiple insect pest monitoring terminals 1 but also aggregate all insect pest monitoring data nationwide through the 5G network, forming a database. Analysis of insect pest data can significantly reduce pesticide use in agricultural production, thus significantly promoting agricultural development. It should be noted that the communication and control methods between the cloud platform and the local processing module can be referred to the content disclosed in the invention patent application number CN202111623115.2, and the computing power management and shared computing power technology between the cloud platform and multiple local processing modules can be referred to the content disclosed in the invention patent application number CN202111595779.2. These are all prior art that is understood by those skilled in the art, and will not be elaborated on here.

[0046] Reference Figures 1-3 In step S1, the trapping chamber 2 has several windows 211 facing different directions. Each window 211 has several guide plates 22 arranged at intervals from top to bottom. A passageway is formed between adjacent guide plates 22, and the passageway is inclined upward from the outside to the inside, so that the guide plates 22 guide rainwater and prevent rainwater from entering the trapping chamber 2. At the same time, this design can also effectively prevent pests that fly into the trapping chamber 2 from flying back out of the trapping chamber 2, thus improving the success rate of trapping. In addition, the insect monitoring terminal 1 is equipped with a rain cover 12 on top, which can further prevent rain and snow from entering the trapping chamber 2.

Claims

1. A method for intelligent monitoring and forecasting of agricultural pests, characterized in that, The specific steps are as follows: 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 set up a collection bucket (3) below the trapping chamber (2) to collect the pests. S2. After being inactivated, the pests that fall into the collection hopper (3) are discharged from the lower end of the collection hopper (3) to the receiving surface of the vibration mechanism. S3. The vibration mechanism vibrates to spread the pests flat, and the camera (6) collects images of the pests spread on the vibration mechanism and uploads the images of the pests to the local processing module. The vibration mechanism includes a vibration motor (4), a lower plate (41) and an upper plate (42) arranged sequentially from bottom to top. The surface of the upper plate (42) is densely covered with grooves (421). A push rod (411) is slidably connected inside 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 a first position where the upper end face of the push rod (411) is flush with the upper surface of the upper plate (42), and a second position where the upper end face of the push rod (411) is located at the lower part of the groove (421). S4. The local processing module identifies and analyzes pest images; If the local processing module can identify all insect species and quantities in the image by comparing the insect species image information in the database, then proceed to step S5. If the local processing module fails to identify all insect species and quantities in the image, the vibration mechanism is activated to further spread the pests. The cylinder (412) pushes the upper plate (42) to make the push rod (411) in the second position. The insects on the surface of the upper plate (42) fall into the adjacent trough (421), and step S3 is executed. When the upper plate (42) descends from the first position to the second position, the field debris is isolated outside the trough (421) due to the large overall structure. The driving air blowing device sprays horizontal airflow onto the upper surface of the upper plate (42) to blow the field debris away from the upper plate (42). When the local processing module identifies that the image contains an unknown type of pest, step S3 is repeated so that the camera (6) can capture at least three feature images of the unknown type of pest and upload them to the local processing module. S5. The local processing module uploads the analysis results and / or raw image data to the cloud platform via the communication network base station. S6. Clean up the pests located on the upper plate (42).

2. The intelligent pest monitoring method for farmland according to claim 1, characterized in that, The specific steps for identifying insects of the family Triticum aestivum are as follows: Step 1: The vibration motor (4) drives the upper plate (42) to vibrate and disperse the insects. The local processing module obtains the insect dispersion situation captured by the camera (6) in real time. When no more than 2 insects of the gracilis family are dispersed into the area above each tank (421), 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 tank (421) falls into the tank (421) along with the top of the push rod (411); Step 3: The local processing module drives the vibration motor (4) to vibrate once every 10-15 seconds. Each vibration of the vibration motor (4) lasts for 10-15 seconds, adjusting the posture of the insects in the tank (421). After each vibration of the vibration motor (4) ends, the camera (6) takes a picture and uploads it to the local processing module. The local processing module analyzes the specific types and quantities of the moths. Step 4: Repeat Step 3 10-20 times. The local processing module will statistically analyze the results of the 10-20 analyses and upload the results to the cloud terminal via the communication network base station.

3. The intelligent pest monitoring and forecasting method for farmland according to claim 2, characterized in that, In step four, if the proportion of a certain insect body marked as belonging to the same species is not less than 90% in the 10-20 analysis results of the local processing module, then the certain insect body will be marked as belonging to that species.

4. The intelligent pest monitoring and forecasting method for farmland according to claim 1, characterized in that, The cylinder (412) retracts, causing the upper plate (42) to return from the second position to the first position. The insect in the tank (421) rises to a height level with the upper surface of the upper plate (42), and the blowing device is driven to spray a horizontal airflow onto the upper surface of the upper plate (42) to blow the insect away from the upper plate (42).

5. The intelligent pest monitoring method for farmland according to claim 4, characterized in that, A conveyor belt (5) is provided below the upper plate (42). The blowing device sprays horizontal airflow to blow the field debris and / or insects on the surface of the upper plate (42) onto the conveyor belt (5). The conveyor belt (5) blows the field debris and / or insects onto the conveyor belt (5) and discharges them along the sewage outlet (11) of the insect monitoring terminal (1).

6. The intelligent pest monitoring method for farmland according to claim 1, characterized in that, In step S1, the trapping cavity (2) has several windows (211) with different orientations. Each window (211) has several guide plates (22) arranged at intervals from top to bottom, and a passageway is formed between adjacent guide plates (22).

7. The intelligent pest monitoring and forecasting method for farmland according to claim 6, 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 pest.

8. The intelligent pest monitoring method for farmland according to claim 1, characterized in that, The collection hopper (3) is funnel-shaped; the lower end of the collection hopper (3) is provided with a processing channel (31), the processing channel (31) is axially rotatably connected with a first electric flap (311) and a second electric flap (312), the processing channel (31) is provided with an infrared processing component, the infrared processing component is located between the first electric flap (311) and the second electric flap (312), and the lower end of the processing channel (31) is provided with a guide port.

9. A method for intelligent monitoring and forecasting of agricultural pests according to any one of claims 1-8, characterized in that, It 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), and the side wall of the insect monitoring terminal (1) is fixedly connected to the sliding block (72).

Images