Tomato leaf miner monitoring device and method

Abstract

The invention discloses a tomato leaf miner monitoring device and method, and belongs to the field of tomato leaf miner monitoring. Comprising a detection box fixed on a bracket, and an insect sticking paper automatic walking module, a network module and a camera which are positioned in the detection box, an insect sticking window is formed in the detection box, an insect sticking area of the insect sticking paper automatic walking module is arranged on the inner side of the window, the camera is fixed to the downstream of the insect sticking area of the insect sticking paper automatic walking module and used for shooting insect body images of tomato leaf miners adhered to insect sticking paper, and the insect body images are uploaded to the cloud server for tomato leaf miner insect body recognition and counting; the network module is used for providing network support of camera photographing and uploading service and remote control network support of the pest sticking paper automatic walking module; according to the invention, the controller automatically controls the tape running length of the wound insect-sticking paper based on a test instruction of the photoelectric shaft angle encoder, automatically adjusts the tape running frequency based on the density of insect bodies adhered to the insect-sticking paper, and can accurately report the occurrence and development conditions of tomato leaf miners in real time.

Description

Technical Field

[0001] The invention relates to the field of tomato leafminer monitoring, and in particular to a tomato leafminer monitoring device and method. Background Art

[0002] The tomato leafminer belongs to the family of Lepidoptera and is a devastating pest of tomatoes. The tomato leafminer is a polymorphic insect that can produce 10 to 12 generations a year. It occurs year after year in protected areas and open fields. It usually occurs relatively evenly during the tomato seedling stage, and then the generations overlap significantly. At present, the prevention and control of tomato leafminers mainly relies on spraying chemical pesticides to control the larvae. However, due to the boring habits of the larvae of the tomato leafminer and their strong concealment, and the tiny size of the newly hatched larvae, it is difficult to accurately determine the best prevention and control period, which often makes the prevention and control effect unsatisfactory. Therefore, accurate monitoring and forecasting of the occurrence period of the tomato leafminer is the premise and key to preventing its serious occurrence and damage.

[0003] The invention patent application with the publication number CN118140894A discloses a larvae sample collection device for tomato crop pest prevention. By bringing the tomato leafminer collection device with a handheld handle close to the larvae position, the larvae are sucked into the storage container in the collector by the negative pressure of the internal cavity of the collector, thereby completing the larvae collection. This invention can effectively collect tomato leafminer larvae, but the action is completed manually and the efficiency is low. The utility model patent application with the publication number CN221864313U discloses a monitoring and trapping device for small pests of tomato leafminers. Through the cooperation between the lower trapping cover, the upper trapping cover, the support plate, the ultraviolet lamp, the motor, the rotating rod, the gear and the rack plate, the monitoring and trapping device can be used to collect and process the small pests of tomato leafminers after trapping them, but the insect bodies cannot be identified and counted. In the disclosed technical methods and corresponding detection and reporting devices, there is no device for automatically trapping and intelligently identifying tomato leafminers. The technical device provided by the present invention solves the problem of automatic monitoring of tomato leafminers. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a tomato leafminer monitoring device and method, which is suitable for monitoring the tomato leafminer insect situation of tomato and potato plants. The present invention can realize automatic control of the insect sticky tape and automatic uploading of insect body images, and accurately report the occurrence and development of the tomato leafminer insect situation in real time.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] A tomato leafminer monitoring device comprises a detection box fixed on a bracket and an insect sticky paper automatic walking module, a network module and a camera located in the detection box;

[0007] The detection box is provided with an insect sticking window, the inner side of the window is the insect sticking area of ​​the insect sticking paper automatic walking module, the camera is fixed downstream of the insect sticking area of ​​the insect sticking paper automatic walking module, and is used to take the insect body image of the tomato leaf miner adhered to the insect sticking paper, and the insect body image is uploaded to the cloud server for tomato leaf miner insect body identification and counting; the network module is used to provide network support for camera photo uploading service and remote control network support for the insect sticking paper automatic walking module;

[0008] The automatic walking module of the sticky insect paper comprises a rolled sticky insect paper, a controller, a driving shaft, a driven shaft and a plurality of auxiliary shafts. The sticky insect paper is wound on the driven shaft, and one end of the sticky insect paper is fixed on the driving shaft after being wound around a plurality of auxiliary shafts. The driving shaft is connected to the controller. Under the control of the controller, the driving shaft rotates to drive the sticky insect paper to move automatically.

[0009] As a preferred embodiment of the present invention, the several auxiliary rotating shafts include a first auxiliary rotating shaft, a second auxiliary rotating shaft and a third auxiliary rotating shaft respectively fixed at the bottom, top and rear of the inner side of the insect sticking window, the first auxiliary rotating shaft and the second auxiliary rotating shaft are located on the same vertical plane, and an insect sticking area is formed between the two rotating shafts, and the sticky side of the insect sticking area faces the insect sticking window; the third auxiliary rotating shaft is located at the rear and lower part of the second auxiliary rotating shaft, and an insect sticking imaging area located downstream of the insect sticking area is formed between the second auxiliary rotating shaft and the third auxiliary rotating shaft, and the sticky side of the insect sticking imaging area faces the camera.

[0010] As a preferred embodiment of the present invention, a fill light is installed at the camera position.

[0011] As a preferred embodiment of the present invention, one end of the first auxiliary shaft is connected to a photoelectric shaft angle encoder, and the number of rotations of the first auxiliary shaft is measured by light pulses emitted by the photoelectric shaft angle encoder, thereby controlling the tape running position of the insect sticky paper.

[0012] As a preferred embodiment of the present invention, the active rotating shaft is connected to a stepper motor through a gear set, and the stepper motor is started and stopped according to the controller instruction to control the daily feeding length of the sticky insect paper to be greater than the width of the sticky insect imaging area.

[0013] As a preferred embodiment of the present invention, the camera is connected to a camera adapter, a controller and a router, and the image of the tomato leafminer taken by the camera is uploaded to a cloud server, and a deep convolutional neural network model on the cloud is run to detect and identify the tomato leafminer in the image, and the identified insects are counted.

[0014] As a preferred embodiment of the present invention, when the identified insect body count number exceeds the upper limit threshold, the controller increases the tape running frequency; when the identified insect body count number is lower than the lower limit threshold, the controller reduces the tape running frequency.

[0015] As a preferred embodiment of the present invention, a solar photovoltaic panel is installed on the top of the detection box.

[0016] As a preferred embodiment of the present invention, the insect sticking paper is a red sticky tape, and a tomato leafminer pheromone attractant core composed of trans-3, cis-8, cis-11-tetradecatriene acetate and trans-3, cis-8-tetradecadiene acetate is fixedly attached to the insect sticking window.

[0017] As a preferred embodiment of the present invention, an ultraviolet lamp is fixed inside the insect trapping window to enhance the trapping effect on the tomato leaf miners that fly in the morning for mating.

[0018] A monitoring method of a tomato leafminer monitoring device, comprising:

[0019] The tomato leafminer monitoring device with red sticky tape is fixed on the tomato or potato plantation through a bracket. The installation height of the detection box is 10-15 cm above the top of the tomato or potato plant, and the sticky insect window faces the plant;

[0020] The daily running length of the insect sticky paper is controlled by the pulse count of the photoelectric shaft angle encoder to ensure that the imaging area of ​​the insect body does not overlap every day; the fill light is turned on when the insect body image is taken by the camera, and the fill light is automatically turned off after the image acquisition is completed;

[0021] The insect image is uploaded to the cloud server, and the tomato leafminer insects in the image are detected and identified through the deep convolutional neural network model deployed in the cloud. The identified insects are counted and the image and counting results are sent back to the user.

[0022] The beneficial effects of the present invention are:

[0023] The tomato leafminer monitoring device provided by the present invention uses sticky insect tape and pheromone attractant core to solve the problem of capturing and fixing the tomato leafminer; by timing the start of the ultraviolet light source, the trapping effect on the morning-flying mating tomato leafminers is enhanced; the sticky insect tape is wound by a stepper motor, and the tape winding length is controlled by a controller based on the photoelectric shaft angle encoder test instruction, which solves the current large amount of tedious and repetitive labor of manually replacing the sticky insect board; the high-definition camera is placed in the detection box, and the image acquisition brightness is improved by fill light illumination, which overcomes the interference of environmental meteorological conditions, especially high temperature and high humidity environment, on the photography and imaging of tiny insects, and ensures the consistency of imaging quality. After cloud image preprocessing and deep convolutional neural network model detection and identification of insect body images, the occurrence and development of the tomato leafminer insect situation is reported in real time and accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the structure of a tomato leafminer monitoring device (excluding the box door).

[0025] Figure 2 It is a schematic diagram of the structure of a tomato leafminer monitoring device (including a box door).

[0026] Figure 3 It is a cross-sectional view of the detection box of the tomato leafminer monitoring device.

[0027] Figure 4 This is a visual representation of the internal structure of the detection box of the tomato leafminer monitoring device. Figure 1 .

[0028] Figure 5 This is a visual representation of the internal structure of the detection box of the tomato leafminer monitoring device. Figure 2 .

[0029] In the figure: 1-detection box, 2-camera, 3-fixed bottom plate, 4-solar photovoltaic panel, 5-fill light, 6-insect sticky paper, 7-camera adapter, 8-controller, 9-inner bracket, 10-router, 11-lithium battery pack, 12-coupling, 13-photoelectric shaft angle encoder, 14-gear set, 15-attractant core, 16-ultraviolet lamp, 17-driving shaft, 18-driven shaft, 19-antenna, 20-bearing seat, 21-electronic door lock, 221, 222-hinge, 23-bracket, 61-insect sticky paper insect sticking area, 62-insect sticky paper imaging area, 191-first auxiliary shaft, 192-second auxiliary shaft, 193-third auxiliary shaft. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] In the description of the present invention, it is to be understood that the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0032] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood in combination with specific circumstances.

[0033] The accompanying drawings show various structural schematic diagrams of the embodiments disclosed in the present invention. These drawings are not drawn to scale, and some details are exaggerated and some details may be omitted for the purpose of clear expression.

[0034] like Figure 1-2 As shown, the tomato leafminer monitoring device proposed in the present invention includes a detection box 1 fixed on a bracket 23 and an insect sticky paper automatic walking module, a network module and a high-definition camera 2 located in the detection box 1; the installation height of the detection box 1 is 10-15 cm above the top of the tomato or potato plant.

[0035] The detection box 1 is provided with an insect-sticking window, the inner side of the window is the insect-sticking area of ​​the automatic walking module of the insect-sticking paper, and an ultraviolet lamp 16 is fixed to enhance the trapping effect on the tomato leafminer that flies in the morning. The morning flight mating is a characteristic of the tomato leafminer, which refers to the situation that in the morning, male and female tomato leafminers fly together and complete courtship and mating in the process of flying together; the camera 2 is fixed downstream of the insect-sticking area of ​​the automatic walking module of the insect-sticking paper, and is used to take the insect body image of the tomato leafminer adhered to the insect-sticking paper, and the insect body image is uploaded to the cloud server for tomato leafminer insect body identification and counting; the network module is used to provide network support for camera photo upload service and remote control network support for the automatic walking module of the insect-sticking paper.

[0036] The automatic walking module of the sticky insect paper includes a rolled sticky insect paper 6, a controller 8, an active rotating shaft 17, a driven rotating shaft 18 and several auxiliary rotating shafts. The sticky insect paper 6 is wound on the driven rotating shaft 18, and one end of the sticky insect paper 6 is fixed on the active rotating shaft 17 after being wound around several auxiliary rotating shafts. The active rotating shaft 17 is connected to the controller 8. Under the control of the controller 8, the active rotating shaft 17 rotates to drive the sticky insect paper 6 to move automatically.

[0037] In a specific implementation of the present invention, the detection box 1 is made of 306 stainless steel with a thickness of 1.5-2mm; the solar photovoltaic panel 4 located on the top of the detection box 1 provides a DC 12V power supply for the monitoring device; the solar photovoltaic panel 4 is a flexible glue-dried board with a thickness of 2-3mm, which can fit tightly with the detection box 1; the device is powered by a solar photovoltaic panel installed on the top of the detection box and a lithium battery pack 11 for energy storage. The door of the detection box 1 is provided with a hollow part, one side of which is connected to the box body through a set of hinges 221 and 222, and the other side is provided with an electronic door lock 21. The door is opened when the device is repaired or the wound insect sticky paper 6 is replaced, and the door is in a locked state under normal working conditions; the bracket is preferably a tripod bracket, and the detection box 1 is fixed on the tripod 23 through the adapter plate 3, and can also be fixed by other means. The tomato leafminer sticky paper adopts a red high-viscosity tape, and a tomato leafminer pheromone attractant 15 composed of trans-3, cis-8, cis-11-tetradecatriene acetate and trans-3, cis-8-tetradecadiene acetate is attached to the sticky window, and an ultraviolet fill light 16 is installed on one side of the sticky window.

[0038] like Figure 3 As shown, the sticky paper 6 is wound on the driven shaft 18, and one end of the sticky paper 6 passes through several auxiliary shafts in sequence and is finally fixed on the driving shaft 17; the driving shaft 17 is connected to the stepper motor (not shown in the figure) through the gear set 14, and the start and stop of the stepper motor are executed according to the instructions of the controller 8. The stepper motor directly drives the gear set 14 to rotate, and then drives the driving shaft 17 to rotate, so as to control the daily feeding length of the sticky paper to be greater than the width of the sticky imaging area.

[0039] This embodiment adopts three auxiliary rotating shafts, which are respectively fixed at the bottom of the box door side, the top of the box door side and the rear of the box door side. The three auxiliary rotating shafts are fixed to the side plate of the inner bracket 9 through the bearing seat 20, and are respectively defined as the first auxiliary rotating shaft 191, the second auxiliary rotating shaft 192, and the third auxiliary rotating shaft 193; the first auxiliary rotating shaft 191 and the second auxiliary rotating shaft 192 are located on the same vertical plane, and the sticky paper 6 forms the sticky paper sticky area 61 (located between the first auxiliary rotating shaft 191 and the second auxiliary rotating shaft 192) through the hollow part of the box door of the detection box 1. ), the sticky side of the insect sticking paper 6 faces the insect sticking window; the plane tightened between the second auxiliary rotating shaft 192 and the third auxiliary rotating shaft 193 constitutes the insect sticking paper imaging area 62, the high-definition camera 2 is installed obliquely above the insect sticking paper imaging area 62, the sticky side of the insect sticking imaging area is facing the camera 2, that is, perpendicular to the optical axis of the high-definition camera 2, and the area of ​​the insect sticking paper imaging area 62 is 20cm×15cm; in this embodiment, the high-definition camera 2 is a linear array CCD sensor, including imaging devices such as optical lenses and charge coupled devices, and the imaging device has 20 million pixels. The central processing unit of the controller 8 receives the output image of the high-definition camera 2, and after image information correction and conversion, it is loaded into the random access memory RAM, and the data storage device can be a flash memory or a hard disk drive.

[0040] like Figure 4-5 As shown, a fill light 5 is installed at the position of the camera 2. In this embodiment, the fill light 5 is a white light LED lamp group, embedded with 2×3 0.1 watt white light LED lamp beads, and the light axis of the LED lamp beads is parallel to the axis of the camera to ensure the light intensity during imaging; Figure 4 The situation of the sticky paper imaging area 62 can be seen more clearly. The sticky paper stretched by the first auxiliary rotating shaft 191 and the second auxiliary rotating shaft 192 is used to stick insects through the hollow area of ​​the detection box 1. The controller 8 calculates the rotation amount of the feed length instruction stepping motor according to the number of rotations measured by the photoelectric shaft angle encoder 13 to ensure that the overlapping area of ​​the sticky paper imaging area 62 is less than 1 / 30.

[0041] The photoelectric shaft angle encoder 13 is fixed on the second auxiliary rotating shaft 192 through the coupling 12. The photoelectric shaft angle encoder 13 is a shaft angle incremental encoder. When the encoder is working, the detection grating does not move, and the code disk rotates with the second auxiliary rotating shaft 192. The light passes through the light-transmitting gaps of the code disk and the detection grid grating and shines on the photoelectric detection device. After conversion processing, the speed information of the second auxiliary rotating shaft 192 is obtained. The controller can control the rotation working time of the stepping motor according to this speed information, and then control the running length of the sticky paper.

[0042] The camera 2 is connected to a camera adapter, a controller and a router. The router is connected to an antenna 19 outside the box located at the top of the detection box 1 and is responsible for transmitting and receiving signals. The image of the tomato leafminer taken by the camera is uploaded to the cloud server, and the deep convolutional neural network model in the cloud is run to detect and identify the tomato leafminer in the image and count the identified insects. When the number of identified insect counts exceeds the upper threshold, the controller increases the tape speed. When the number of identified insect counts is lower than the lower threshold, the controller reduces the tape speed. The deep convolutional neural network model for identifying the tomato leafminer in the image can be implemented using an existing model, which is a well-known attempt in the art and will not be repeated here.

[0043] In a specific implementation of the present invention, the monitoring method of the above-mentioned tomato leafminer monitoring device comprises the following steps:

[0044] (1) The tomato leafminer monitoring device of the present invention is set in a tomato or potato planting area, the monitoring device is placed at a height of 10-15 cm above the top of the tomato plant, and the insect sticking board coated with insect glue faces the tomato or potato plant. The insect sticking window is also attached with a pheromone attractant core with chemical components of trans-3, cis-8, cis-11-tetradecatriene acetate and trans-3, cis-8-tetradecadiene acetate and an ultraviolet insect attractant light source, which is used to increase the amount of tomato leafminers trapped.

[0045] (2) The stepper motor drives the active rotating shaft under the instruction of the controller, so that the insect sticking area and imaging area of ​​the insect sticking paper are automatically replaced, which not only ensures the insect sticking efficiency of the insect sticking area, but also reduces the calculation amount of background elimination during image processing, making the monitoring results more accurate.

[0046] (3) A built-in high-definition camera is used to capture images of insect bodies, and a synchronously activated fill light is used to increase the brightness of the image acquisition area, thereby overcoming the impact of high temperature and high humidity on the camera imaging quality and maintaining the consistency of imaging quality.

[0047] The insect body image is wirelessly transmitted to the cloud server for relevant image preprocessing and model detection, and the tomato leafminer counting results are sent to the user in units of 24 hours. The client can also download the captured insect body image for manual review.

[0048] The above embodiments are only used to illustrate the present invention and are not intended to limit the technical solutions described in the present invention. Although the present specification has been described in detail with reference to the embodiments, the present invention is not limited to the above specific implementation methods. Therefore, any modification or equivalent replacement of the present invention; and all technical solutions and improvements thereof that do not depart from the spirit and scope of the invention are included in the scope of the claims of the present invention.

Claims

1. A tomato leafminer monitoring device, characterized in that: It comprises a detection box (1) fixed on a bracket and an insect sticky paper automatic walking module, a network module and a camera (2) located in the detection box (1); The detection box (1) is provided with an insect trapping window, the inner side of the window is an insect trapping area of ​​the insect trapping paper automatic walking module, the camera (2) is fixed downstream of the insect trapping area of ​​the insect trapping paper automatic walking module, and is used to take images of tomato leafminers attached to the insect trapping paper, and the insect images are uploaded to a cloud server for tomato leafminer body identification and counting; the network module is used to provide network support for camera photo upload services and remote control network support for the insect trapping paper automatic walking module; The insect sticky paper automatic walking module comprises a rolled insect sticky paper (6), a controller (8), an active rotating shaft (17), a driven rotating shaft (18) and a plurality of auxiliary rotating shafts. The insect sticky paper (6) is wound on the driven rotating shaft (18), one end of which is fixed on the active rotating shaft (17) after being wound on the plurality of auxiliary rotating shafts. The active rotating shaft (17) is connected to the controller (8). Under the control of the controller (8), the active rotating shaft (17) rotates to drive the insect sticky paper (6) to move automatically.

2. The tomato leafminer monitoring device according to claim 1, characterized in that: The plurality of auxiliary rotating shafts include a first auxiliary rotating shaft (191), a second auxiliary rotating shaft (192) and a third auxiliary rotating shaft (193) respectively fixed to the bottom, top and rear of the inner side of the insect sticking window; the first auxiliary rotating shaft (191) and the second auxiliary rotating shaft (192) are located on the same vertical plane, an insect sticking area is formed between the two rotating shafts, and the sticky side of the insect sticking area faces the insect sticking window; the third auxiliary rotating shaft (193) is located at the lower rear of the second auxiliary rotating shaft (192), an insect sticking imaging area located downstream of the insect sticking area is formed between the second auxiliary rotating shaft (192) and the third auxiliary rotating shaft (193), and the sticky side of the insect sticking imaging area faces the camera (2).

3. The tomato leafminer monitoring device according to claim 2, characterized in that: A fill light (5) is installed at the position of the camera (2).

4. The tomato leafminer monitoring device according to claim 2, characterized in that: One end of the first auxiliary rotating shaft (191) is connected to a photoelectric shaft angle encoder (13), and the number of rotations of the first auxiliary rotating shaft (191) is measured by light pulses emitted by the photoelectric shaft angle encoder (13), thereby controlling the tape running position of the insect sticky paper.

5. The tomato leafminer monitoring device according to claim 2, characterized in that: The active rotating shaft (17) is connected to a stepping motor via a gear set, and the stepping motor starts and stops according to the instruction of the controller (8), so as to control the insect sticking paper to feed a longer length than the width of the insect sticking imaging area every day.

6. The tomato leafminer monitoring device according to claim 1, characterized in that: The camera (2) is connected to a camera adapter, a controller and a router, and the image of the tomato leafminer taken by the camera is uploaded to a cloud server, and a deep convolutional neural network model in the cloud is run to detect and identify the tomato leafminer in the image, and the identified insects are counted.

7. The tomato leafminer monitoring device according to claim 6, characterized in that: When the number of identified insect body counts exceeds the upper threshold, the controller increases the tape running frequency; when the number of identified insect body counts is lower than the lower threshold, the controller decreases the tape running frequency.

8. The tomato leafminer monitoring device according to claim 1, characterized in that: A solar photovoltaic panel (4) is installed on the top of the detection box (1).

9. The tomato leafminer monitoring device according to claim 1, characterized in that: The insect sticking paper is a red sticky tape, and a tomato leafminer pheromone attractant core composed of trans-3, cis-8, cis-11-tetradecatriene acetate and trans-3, cis-8-tetradecadiene acetate is fixedly attached to the insect sticking window.

10. A monitoring method for the tomato leafminer monitoring device according to claim 2, characterized in that: include: The tomato leafminer monitoring device with red sticky tape is fixed in a tomato or potato plantation through a bracket, and the detection box (1) is installed at a height of 10-15 cm above the top of the tomato or potato plant, with the sticky insect window facing the plant; The length of the sticky paper each time is controlled by the pulse count of the photoelectric shaft angle encoder to ensure that the imaging area of ​​the insect body does not overlap each time it is photographed; the fill light is turned on when the camera is used to take the image of the insect body, and the fill light is automatically turned off after the image acquisition is completed; The insect image is uploaded to the cloud server, and the tomato leafminer insects in the image are detected and identified through the deep convolutional neural network model deployed in the cloud. The identified insects are counted and the image and counting results are sent back to the user.

Images