CN220858234U - Field pest investigation tool combining AI image identification - Google Patents
Field pest investigation tool combining AI image identification Download PDFInfo
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- CN220858234U CN220858234U CN202322486852.3U CN202322486852U CN220858234U CN 220858234 U CN220858234 U CN 220858234U CN 202322486852 U CN202322486852 U CN 202322486852U CN 220858234 U CN220858234 U CN 220858234U
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- 241000607479 Yersinia pestis Species 0.000 title claims abstract description 71
- 238000011835 investigation Methods 0.000 title claims abstract description 20
- 238000004891 communication Methods 0.000 claims description 4
- 230000001502 supplementing effect Effects 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 3
- 230000000149 penetrating effect Effects 0.000 claims description 2
- 238000005259 measurement Methods 0.000 abstract description 4
- 238000001514 detection method Methods 0.000 abstract description 2
- 241000238631 Hexapoda Species 0.000 description 8
- 241000209094 Oryza Species 0.000 description 8
- 235000007164 Oryza sativa Nutrition 0.000 description 5
- 235000009566 rice Nutrition 0.000 description 5
- 241001466042 Fulgoromorpha Species 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 3
- 241000196324 Embryophyta Species 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 241001556089 Nilaparvata lugens Species 0.000 description 1
- 241000176086 Sogatella furcifera Species 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000007790 scraping Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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Abstract
The utility model discloses a field pest investigation tool combined with AI image recognition, which relates to the technical field of pest detection and comprises a tray body and a shooting device, wherein L-shaped grooves are formed in the edges of two adjacent sides of the tray body, and the shooting device is slidably connected in the L-shaped grooves; the shooting device comprises a shooting arm and a shooting head, a pest placing groove is formed in the middle of the disc body, a camera is installed in a groove at the bottom of the shooting head, and the camera shoots pests in the pest placing groove. According to the utility model, pests are placed in the pest placement groove, the number of the pests in the pest placement groove is shot through the camera, so that later unified measurement and report are facilitated, and the camera is moved above the pest placement groove through moving the shooting arm, so that the pests at different positions in the pest placement groove are shot, the shot pictures are clearer, AI identification is more accurate, the number of all the pests in the pest placement groove can be accurately obtained, and the measured and reported data is more accurate.
Description
Technical Field
The utility model relates to the technical field of pest detection, in particular to a field pest investigation tool combining with AI image identification.
Background
Agriculture is an important foundation for economic development of China all the time, and always occupies the great specific gravity of the economy of China, and daily plant protection and forecasting work is an important foundation for ensuring the stable high-quality development of modern agriculture. In the field of agricultural plant protection, pest condition observation and report is taken as a basic work, and is generally analyzed and monitored according to the collected types and the number of pests.
The crop pest control is a basis for crop pest control, and has important significance for agricultural production safety and ecological environment safety. At present, the traditional disk-shooting method is used for investigating the insect such as rice planthoppers in the field, for example, when the insect bodies such as rice planthoppers are investigated, the disk is gently inserted into the rice base, the rice plants are rapidly beaten to enable the insect to fall into the disk, and then the type, the insect state and the number of the insect in the disk are manually and rapidly counted. The traditional disc shooting method needs two or more persons to cooperate, one person is specially responsible for recording, and the other person is responsible for taking a field investigation. Because many pests are easy to jump and fly away, the eyes diseases of the people to be checked are required to be fast, and the professional experience is sufficient. Moreover, the standardization of the forecasting work and the consistency of the survey data cannot be realized due to the difference of the survey habits of different people, and effective tracing and verification are difficult because the original survey data are mostly paper notes.
In the prior art of my department, a Chinese patent document with a publication number of CN219018893U is provided to solve the problem of standardization and consistency of the measurement and report work mentioned in the problem, so that data obtained by technicians can be unified, and the device is convenient to take and move. In the utility model, the camera on the acquisition panel can only realize shooting at a fixed position; when the AI technology is adopted to identify pests in the image, the AI needs to obtain a precise and clear picture to identify the number of the pests; when shooting, the pest shooting at the shooting center is clearer, but the pest imaging at the edge of the disc body is more fuzzy, so that the accuracy of recognition is reduced when the number of pests is recognized through an Ai technology, and the accuracy of data investigation of the pests is affected.
Disclosure of utility model
The utility model aims to provide a field pest investigation tool combined with AI image recognition so as to solve the problems in the background technology.
In order to solve the technical problems, the utility model adopts the following technical scheme:
The field pest investigation tool combining with AI image recognition comprises a tray body and a shooting device, wherein L-shaped grooves are formed in the edges of two adjacent sides of the tray body, and the shooting device is connected in a sliding manner in the L-shaped grooves; the shooting device comprises a shooting arm and a shooting head, wherein the shooting arm and the shooting head are of an L-shaped structure, and the L-shaped structure is matched with the L-shaped groove; the pest standing groove is formed in the middle of the tray body, the camera is installed in the groove at the bottom of the shooting head, and the camera shoots pests in the pest standing groove.
The limiting grooves are symmetrically formed in the L-shaped grooves, limiting rotating shafts are connected to the limiting grooves in a sliding mode, two supporting plates and extending rib plates are arranged in a penetrating mode on the limiting rotating shafts, the extending rib plates are arranged at the center of the limiting rotating shafts, and the two supporting plates are hinged to the extending rib plates.
Preferably, a circuit main board is installed in the shooting head.
Preferably, the circuit main board comprises a storage module, a wireless communication module and a positioning module.
Preferably, a clamping groove is formed in one side of the shooting head, and a power key, a shooting key and a charging port are sequentially arranged on the other side of the shooting head.
Preferably, a light supplementing lamp is arranged beside the camera.
Preferably, the tail end of the L-shaped groove is provided with a lens protection plate.
Preferably, the lens protection plate is attached to the camera.
Preferably, the extension rib is fixed at the center of the bottom of the shooting arm, and the bottom of the shooting arm is slidably connected with the surfaces of the two support plates.
By adopting the technical scheme, compared with the prior art, the utility model has the following technical progress:
1. the utility model provides a field pest investigation tool combined with AI image recognition, which is beneficial to unified measurement and report in later period by placing pests in pest placing grooves and shooting the number of the pests in the pest placing grooves through the camera, and the camera moves above the pest placing grooves by moving the shooting arm, so that the shot pictures of the pests in different positions in the pest placing grooves are clearer, the AI recognition is more accurate, the number of all the pests in the pest placing grooves can be accurately obtained, and the measured and reported data is more accurate.
2. The utility model provides a field pest investigation tool combining with AI image recognition, wherein a shooting arm and a shooting head can be rotatably placed in an L-shaped groove after shooting is completed, so that a worker can conveniently take a disc body, the working efficiency is improved, and the tail end of the L-shaped groove is provided with a lens protection plate, so that the surface of a camera is prevented from being scratched when the disc body is moved, and the imaging effect is prevented from being influenced.
Drawings
FIG. 1 is a schematic view of a left front perspective structure of the present utility model;
FIG. 2 is an enlarged schematic view of the structure of FIG. 1A according to the present utility model;
FIG. 3 is a schematic view of a right front perspective structure of the present utility model;
fig. 4 is a schematic view showing a bottom perspective structure of the present utility model.
In the figure: 1. a tray body; 101. an L-shaped groove; 102. a limit groove; 2. a limiting rotating shaft; 201. a support plate; 202. extending the rib plate; 3. a shooting arm; 4. a shooting head; 401. a clamping groove; 402. a power key; 403. photographing key; 404. a charging port; 5. a camera; 6. a light supplementing lamp; 7. a pest placement tank; 8. and a lens protection plate.
Detailed Description
The utility model is further illustrated by the following examples:
As shown in fig. 1, the utility model provides a field pest investigation tool combined with AI image recognition, which comprises a tray body 1 and a shooting device, wherein L-shaped grooves 101 are formed at the edges of two adjacent sides of the tray body 1, and the shooting device is connected in a sliding manner in the L-shaped grooves 101; the shooting device comprises a shooting arm 3 and a shooting head 4, wherein the shooting arm 3 and the shooting head 4 are of an L-shaped structure, and the L-shaped structure is matched with the L-shaped groove 101; the shooting arm 3 and the shooting head 4 can be placed in the L-shaped groove 101 after being used, so that the tray body 1 can be conveniently taken, and the working efficiency of staff is improved. Pest placing grooves 7 are formed in the middle of the tray body 1, insects on rice plants are beaten into the pest placing grooves 7, and then a camera 5 is used for photographing and recording.
Further, the lens protection plate 8 is arranged at the tail end of the L-shaped groove, and when the shooting device is retracted into the L-shaped groove 101, the lens protection plate 8 can prevent the lens from scraping and affecting shooting imaging.
As shown in fig. 1 and 2, two limiting grooves 102 are respectively formed in the inner walls of two sides of an L-shaped groove 101 and symmetrically formed, two limiting grooves 102 are connected with two ends of a limiting rotating shaft 2 in a sliding manner, two supporting plates 201 and an extending rib plate 202 penetrate through the limiting rotating shaft 2, the extending rib plate 202 is fixedly connected with the limiting rotating shaft 2, and the two supporting plates 201 are hinged with the extending rib plate 202; the extending rib plate 202 is fixed in the middle of the limiting rotating shaft 2, and one end of the two supporting plates 201 away from the extending rib plate 202 is contacted with the inner wall of the L-shaped groove 101.
Further, the bottom of the supporting plate 201 is a plane and movably connected with the L-shaped groove 101, the surface is an arc surface, the arc surface is slidably connected with the bottom of the shooting arm 3, and the extending rib 202 is fixed at the center of the bottom of the shooting arm 3. Through the connection, when the shooting arm 3 is pushed, the extending rib plate 202 is enabled to drive the limiting rotating shaft 2 to move in the limiting groove 102, so that the camera 5 on the shooting head 4 is driven to move above the pest placing groove 7, the shooting range is wider and more accurate, and later-stage measurement and report are facilitated. And the photographing arm 3 may also be rotated, the restricting rotation shaft 2 may be rotated along with the photographing arm 3 when it is rotated, and the bottom of the photographing arm 3 may slide on the surface of the supporting plate 201, thereby being received in the L-shaped groove 101.
As shown in fig. 1 and 3, a circuit board is installed in a shooting head 4, a clamping groove 401 is formed in one side of the shooting head 4, and a power key 402, a shooting key 403 and a charging port 404 are sequentially arranged on the other side of the shooting head 4; the camera 5, the card slot 401, the power key 402, the photographing key 403 and the charging port 404 are all electrically connected with the circuit board. The circuit main board comprises a storage module, a wireless communication module, a positioning module and the like.
Further, a 4G card is inserted into the card slot 401, the 4G card is used for realizing shooting data transmission, and the power key 402 is used for starting up; the photographing key 403 is pressed at the two ends of the limiting groove 102, so that the camera 5 photographs and records pest situations in the pest placing groove 7, and the photographing arm 3 is positioned at one end of the limiting groove 102 to photograph pest situations in half area of the pest placing groove 7.
As shown in fig. 1 and 4, a camera 5 is arranged in a groove at the bottom of the shooting head 4, the groove plays a role in protecting the camera 5, and the camera 5 shoots pests in the pest placing groove 7; two light supplementing lamps 6 are arranged beside the camera 5, so that photographing definition is improved.
The working principle of the field pest investigation tool combined with AI image recognition is specifically described below.
As shown in fig. 1-4, a 4G card is inserted into the card slot 401 and a long press of the power key 402 activates the device. When in use, the device is gently inserted into the rice base, and the rice plants are rapidly beaten to enable insects to fall into the pest placing groove 7 in the middle of the tray body 1. The shooting arm 3 is pulled out of the L-shaped groove 101 to be vertical to the disc body 1, an image in the pest placing groove 7 is shot through the camera 5, after shooting is finished, the shooting arm 3 drives the extending rib plate 202 to move through moving the shooting arm 3, so that the limiting rotating shaft 2 is controlled to move in the limiting groove 102 until the limiting rotating shaft moves to the tail end of the other end of the limiting groove 102, and then the camera 5 is used for shooting the image in the pest placing groove 7, so that shooting of the adult is completed. The system can automatically position and record time when the images are acquired for two times, then the images acquired by the equipment are transmitted to the server through the wireless communication module, the acquired images are intelligently analyzed by the AI image identification model deployed in the server, the types and insect states of the rice planthoppers are automatically identified and counted (the long-wing adults and short-wing adults of brown planthoppers, sogatella furcifera and gray planthoppers, and the high-age nymphs and the low-age nymphs can be identified and counted). And finally, the counting result and the image with the identification mark are sent to the client, and the user can view, edit and analyze the result at the applet or PC end and can derive a data report by one key.
It should be noted that, in the description of the present disclosure, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; may be a mechanical connection; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the terms in this disclosure will be understood by those of ordinary skill in the art as the case may be.
The foregoing utility model has been generally described in great detail, but it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, it is intended to cover modifications or improvements within the spirit of the inventive concepts.
Claims (8)
1. A field pest investigation tool combined with AI image identification is characterized in that: the camera comprises a tray body and a camera, wherein L-shaped grooves are formed in the edges of two adjacent sides of the tray body, and the camera is connected in a sliding manner in the L-shaped grooves; the shooting device comprises a shooting arm and a shooting head, wherein the shooting arm and the shooting head are of an L-shaped structure, and the L-shaped structure is matched with the L-shaped groove; the pest placing groove is formed in the middle of the tray body, a camera is arranged in the groove at the bottom of the shooting head, and the camera shoots pests in the pest placing groove;
The limiting grooves are symmetrically formed in the L-shaped grooves, limiting rotating shafts are connected to the limiting grooves in a sliding mode, two supporting plates and extending rib plates are arranged in a penetrating mode on the limiting rotating shafts, the extending rib plates are arranged at the center of the limiting rotating shafts, and the two supporting plates are hinged to the extending rib plates.
2. The field pest investigation tool combined with AI image recognition of claim 1, wherein: and a circuit main board is arranged in the shooting head.
3. The field pest investigation tool combined with AI image recognition of claim 2, wherein: the circuit main board comprises a storage module, a wireless communication module and a positioning module.
4. The field pest investigation tool combined with AI image recognition of claim 1, wherein: the draw-in groove has been seted up to one side of shooting head, the opposite side of shooting head is equipped with power key, key of shooing and the mouth that charges in proper order.
5. The field pest investigation tool combined with AI image recognition of claim 1, wherein: and a light supplementing lamp is arranged beside the camera.
6. The field pest investigation tool combined with AI image recognition of claim 1, wherein: and the tail end of the L-shaped groove is provided with a lens protection plate.
7. The field pest investigation tool combined with AI image recognition of claim 6, wherein: and the lens protection plate is attached to the camera.
8. The field pest investigation tool combined with AI image recognition of claim 1, wherein: the extension rib plate is fixed at the center of the bottom of the shooting arm, and the bottom of the shooting arm is connected with the surfaces of the two support plates in a sliding mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322486852.3U CN220858234U (en) | 2023-09-12 | 2023-09-12 | Field pest investigation tool combining AI image identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322486852.3U CN220858234U (en) | 2023-09-12 | 2023-09-12 | Field pest investigation tool combining AI image identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN220858234U true CN220858234U (en) | 2024-04-26 |
Family
ID=90784949
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202322486852.3U Active CN220858234U (en) | 2023-09-12 | 2023-09-12 | Field pest investigation tool combining AI image identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN220858234U (en) |
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2023
- 2023-09-12 CN CN202322486852.3U patent/CN220858234U/en active Active
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