Sugarcane disease and insect pest monitoring device based on unmanned aerial vehicle and system thereof

Abstract

The invention discloses a sugarcane pest monitoring device based on an unmanned aerial vehicle and a system thereof, and relates to the technical field of pest monitoring. The problem of data collection comprehensiveness is solved. The supporting seat is carried on a bottom mounting platform of the unmanned aerial vehicle; the bottom of the supporting seat is in transmission fit with a bearing table through a lifting control mechanism, and a data acquisition module for acquiring sugarcane data is mounted at the bottom of the bearing table; the data acquisition module comprises an infrared acquisition module for acquiring sugarcane infrared images, a remote sensing module for acquiring sugarcane remote sensing data and an image acquisition module for acquiring sugarcane image data. According to the invention, the infrared acquisition module, the remote sensing module and the image acquisition module are arranged on the liftable bearing platform, and data acquisition of the sugarcane rhizome can be realized by using the lifting of the bearing platform and the flight of the unmanned aerial vehicle, so that the comprehensiveness of the whole disease and pest monitoring is further improved.

Description

Technical Field

[0001] This invention relates to the field of pest monitoring technology, and in particular to a sugarcane pest and disease monitoring device and system based on unmanned aerial vehicles (UAVs). Background Technology

[0002] Sugarcane diseases and pests are significant problems in sugarcane cultivation, severely impacting yield and quality. Traditional monitoring methods often rely on manual field inspections, which are not only inefficient but also lack comprehensive and timely monitoring capabilities. In actual sugarcane growing areas, due to their vast size and complex terrain, manual monitoring struggles to cover every single sugarcane plant. Furthermore, manual monitoring is susceptible to subjective influences; different monitors may arrive at different conclusions, affecting the accuracy and reliability of the monitoring data.

[0003] In addition, some diseases and pests do not show obvious symptoms in the early stages, making them difficult to detect in time by manual inspection. By the time they are discovered, the diseases and pests may have already spread, causing significant damage to the sugarcane.

[0004] A search revealed a Chinese patent publication number, CN 114313260 B, which discloses a forestry pest and disease monitoring drone, comprising: a drone body; a camera mounted on the drone body for photographing trees in the forest area during the drone's flight; a main control unit located within the drone body and connected to the camera and a terminal control device, which transmits image data captured by the camera back to the terminal control device to determine whether trees in the forest area are affected by pests or diseases, and, upon determining that trees are affected, controls the drone body to fly to a position less than a preset distance from the affected trees according to instructions from the terminal control device; and a positioning unit located within the drone body and connected to the main control unit, which performs positioning according to instructions from the terminal control device when the drone body flies to a position less than a preset distance from the affected trees and transmits the positioning location back to the terminal control device via the main control unit to mark the location of the affected trees.

[0005] The aforementioned patent has the following shortcomings: it directly mounts the data acquisition component under the drone, and the drone collects data when flying above the sugarcane plantation. It can only collect data on the upper part of the sugarcane. However, because the sugarcane is long and thin with leaves at the top, and the planting spacing is small, the drone cannot directly penetrate into the sugarcane field to collect data on the stems and roots of the sugarcane. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings of existing technologies by proposing a sugarcane pest and disease monitoring device and system based on unmanned aerial vehicles (UAVs).

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] A sugarcane pest and disease monitoring device based on a drone includes a support base mounted on a platform at the bottom of the drone;

[0009] The bottom of the support base is connected to a support platform via a lifting control mechanism, and a data acquisition module for collecting sugarcane data is installed at the bottom of the support platform.

[0010] The data acquisition module includes:

[0011] Infrared acquisition module for acquiring infrared images of sugarcane

[0012] Remote sensing module for collecting sugarcane remote sensing data

[0013] Image acquisition module for collecting sugarcane image data;

[0014] The lifting control mechanism includes a slider, a telescopic rod, and a connecting rod. The telescopic rod is fixed to the side wall of the support base by bolts. The slider is slidably connected to the bottom outer wall of the support base, and one side wall of the slider is fixedly connected to the telescopic end of the telescopic rod. One end of the connecting rod is rotatably connected to the side wall of the bearing platform, and the other end of the connecting rod is rotatably connected to the inside of the slider. Multiple telescopic rods extend and retract synchronously.

[0015] Preferably, the lifting control mechanism is designed in a multi-group circular array.

[0016] Furthermore: the connecting rod includes a first rod and a second rod that are slidably connected to each other. The first rod is rotatably connected to the side wall of the support platform, and the second rod is rotatably connected to the side wall of the slide head through a connecting shaft. A lead screw is rotatably connected to the inner wall of the second rod, and the outer wall of the lead screw is threaded to the inner wall of the first rod.

[0017] Based on the aforementioned scheme: a bevel gear one is fixed to the end of the lead screw, and a bevel gear two is fixed to the inner side of the slide head, with bevel gear one and bevel gear two meshing with each other.

[0018] A better option among the aforementioned solutions is that the side wall of the second rod is provided with a groove, and guide blocks are fixed on both sides of the first rod, with the guide blocks slidably connected to the inner wall of the groove.

[0019] As a further aspect of the present invention: the support platform includes a first plate and a second plate, the top of the second plate being rotatably connected to the bottom of the first plate via a pivot.

[0020] Meanwhile, the motor is fixed to the top of the motor with bolts, and the output shaft of the motor is connected to the outer wall of the rotating shaft via a synchronous belt drive.

[0021] As a preferred embodiment of the present invention, the infrared acquisition module, the remote sensing module, and the image acquisition module are all located at the bottom of the second plate.

[0022] A sugarcane pest and disease monitoring system based on unmanned aerial vehicles (UAVs) includes:

[0023] The information receiving module is connected to the infrared acquisition module, the remote sensing module, and the image acquisition module, and is responsible for collecting the data monitored by the infrared acquisition module, the remote sensing module, and the image acquisition module.

[0024] The data preprocessing module, which is connected to the information receiving module, is responsible for preprocessing the data acquired by the information receiving module.

[0025] The central processing module, which is connected to the data preprocessing module, is responsible for analyzing and processing the data preprocessed by the data preprocessing module for pest and disease control.

[0026] The communication module is connected to the central processing module and is also connected to the cloud platform and monitoring base station. The communication module is used to transmit the data of the entire system to the cloud platform and monitoring base station.

[0027] As a preferred embodiment of the present invention, it further includes a positioning module connected to the central processing module for locating the position of the UAV.

[0028] The beneficial effects of this invention are as follows:

[0029] 1. This invention, by simultaneously acquiring data through an infrared acquisition module, a remote sensing module, and an image acquisition module to increase the comprehensiveness of the acquired data, further enhances the comprehensiveness of the entire pest and disease monitoring by placing the infrared acquisition module, the remote sensing module, and the image acquisition module on a liftable support platform. The lifting of the support platform and the flight of the drone enable data acquisition at the sugarcane rootstock.

[0030] 2. This invention utilizes a slider, telescopic rod, and connecting rod to achieve lifting control of the support platform. It converts the lateral travel into the longitudinal lifting travel of the support platform, thereby saving the longitudinal space of the entire device compared to the traditional longitudinal telescopic lifting mechanism, thus reducing wind resistance and energy consumption.

[0031] 3. The present invention sets the connecting rod as a combination of rod one and rod two, and uses the rotation of the lead screw to make rod one slide relative to rod two. This allows for the increase of the lifting and lowering of the support platform while maintaining a small space occupation during folding, which is more suitable for the data collection conditions of the slender bottom of sugarcane.

[0032] 4. In this invention, by setting the drive of the lead screw to be meshed drive of bevel gear one and bevel gear two, and the rotation drive of bevel gear one comes from the rotation of the connecting rod itself relative to the slide head, the power arrangement is saved and the volume is further optimized on the one hand, and the overall motion synchronization is increased on the other hand.

[0033] 5. In this invention, by setting the support platform as a combination of plate one and plate two, and simultaneously setting a motor to drive plate two to rotate, the angles of the infrared acquisition module, remote sensing module, and image acquisition module can be changed, thereby increasing the flexibility of data acquisition between rows. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the overall structure of a sugarcane pest and disease monitoring device based on an unmanned aerial vehicle (UAV) proposed in this invention.

[0035] Figure 2 This is a schematic diagram of the lifting control mechanism of a sugarcane pest and disease monitoring device based on an unmanned aerial vehicle (UAV) proposed in this invention.

[0036] Figure 3 This is a schematic diagram of the linkage structure of a sugarcane pest and disease monitoring device based on an unmanned aerial vehicle (UAV) proposed in this invention.

[0037] Figure 4 This is a schematic diagram of the positional structure of bevel gear one and bevel gear two in a sugarcane pest and disease monitoring device based on an unmanned aerial vehicle (UAV) proposed in this invention.

[0038] Figure 5 This is a schematic diagram of the data acquisition module structure of a sugarcane pest and disease monitoring device based on an unmanned aerial vehicle (UAV) proposed in this invention.

[0039] Figure 6 This is a schematic diagram of the architecture of a sugarcane pest and disease monitoring system based on unmanned aerial vehicles (UAVs) proposed in this invention.

[0040] In the diagram: 1. Support base; 2. Lifting control mechanism; 3. Bearing platform; 4. Data acquisition module; 5. Sliding head; 6. Telescopic rod; 7. Connecting rod; 8. Rod 1; 9. Slide groove; 10. Guide block; 11. Lead screw; 12. Rod 2; 13. Bevel gear 1; 14. Bevel gear 2; 15. Connecting shaft; 16. Motor; 17. Synchronous belt; 18. Plate 1; 19. Rotating shaft; 20. Plate 2; 21. Infrared acquisition module; 22. Remote sensing module; 23. Image acquisition module; 24. Cloud platform; 25. Monitoring base station; 26. Communication module; 27. Central processing module; 28. Data preprocessing module; 29. ​​Information receiving module; 30. Positioning module. Detailed Implementation

[0041] The technical solution of the present invention will be further described in detail below with reference to specific embodiments.

[0042] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0043] Example 1:

[0044] A drone-based sugarcane pest and disease monitoring device, such as Figures 1-5 As shown, it includes a support base 1 mounted on the bottom of the drone mounting platform. The bottom of the support base 1 is connected to a support platform 3 via a lifting control mechanism 2. A data acquisition module 4 for collecting sugarcane data is installed at the bottom of the support platform 3.

[0045] The data acquisition module 4 includes:

[0046] Infrared acquisition module 21 for acquiring infrared images of sugarcane.

[0047] Remote sensing module 22 for collecting sugarcane remote sensing data.

[0048] Image acquisition module 23 for collecting sugarcane image data.

[0049] The lifting control mechanism 2 includes a multi-group circular array design, specifically comprising a slider 5, a telescopic rod 6, and a connecting rod 7. The telescopic rod 6 is fixed to the side wall of the support base 1 by bolts. The slider 5 is slidably connected to the bottom outer wall of the support base 1, and one side wall of the slider 5 is fixedly connected to the telescopic end of the telescopic rod 6. One end of the connecting rod 7 is rotatably connected to the side wall of the bearing platform 3, and the other end of the connecting rod 7 is rotatably connected to the inner side of the slider 5. Multiple telescopic rods 6 extend and retract synchronously.

[0050] When in use, this device can be driven by a drone to the sugarcane field. First, remote sensing data can be collected through the remote sensing module 22. After the data collection is completed, the drone descends to above the sugarcane and then drives the telescopic rod 6 to extend, which drives the slider 5 to slide. This causes the support platform 3 and the data acquisition module 4 fixed to the bottom of the support platform 3 to descend through the connecting rod 7. After the data acquisition module 4 descends to the required height, infrared data and image data can be collected using the infrared acquisition module 21 and the image acquisition module 23. At the same time, the drone can drive the data acquisition module 4 to shuttle between the rows of sugarcane.

[0051] This device, by simultaneously acquiring data through an infrared acquisition module 21, a remote sensing module 22, and an image acquisition module 23, increases the comprehensiveness of the acquired data. Furthermore, by placing the infrared acquisition module 21, the remote sensing module 22, and the image acquisition module 23 on a liftable support platform 3, and utilizing the lifting and lowering of the support platform 3 and the flight of the drone, data acquisition at the sugarcane rootstock can be achieved, further enhancing the comprehensiveness of the entire pest and disease monitoring.

[0052] In addition, this device uses a slider 5, a telescopic rod 6, and a connecting rod 7 to control the lifting and lowering of the support platform 3. It converts the lateral stroke into the longitudinal lifting and lowering stroke of the support platform 3, thereby saving the longitudinal space of the entire device compared to the traditional longitudinal telescopic lifting, thus reducing wind resistance and energy consumption.

[0053] To solve the problem of lifting stroke; such as Figure 3 , Figure 4 As shown, the connecting rod 7 includes a first rod 8 and a second rod 12 that are slidably connected to each other. The first rod 8 is rotatably connected to the side wall of the support platform 3, and the second rod 12 is rotatably connected to the side wall of the slide head 5 through a connecting shaft 15. A lead screw 11 is rotatably connected to the inner wall of the second rod 12, and the outer wall of the lead screw 11 is threaded to the inner wall of the first rod 8.

[0054] The end of the lead screw 11 is fixed with a bevel gear 13, and the inner side of the slide head 5 is fixed with a bevel gear 14. The bevel gear 13 and the bevel gear 14 mesh with each other.

[0055] The side wall of the second rod 12 is provided with a sliding groove 9, and guide blocks 10 are fixed on both sides of the first rod 8. The guide blocks 10 are slidably connected to the inner wall of the sliding groove 9.

[0056] When the support platform 3 is raised or lowered, the entire connecting rod 7 will also rotate. When the connecting rod 7 rotates relative to the slide head 5, the first bevel gear 13 will also rotate relative to the second bevel gear 14. Since the second bevel gear 14 is in a fixed state, the first bevel gear 13 will rotate, thereby driving the lead screw 11 to rotate. The lead screw 11 drives the first rod 8 to slide along the second rod 12 through the thread, changing the length of the entire connecting rod 7.

[0057] This device, by setting the connecting rod 7 as a combination of rod 8 and rod 12, and by using the rotation of the lead screw 11 to make rod 8 slide relative to rod 12, can increase the lifting and lowering of the support platform 3 while keeping the space occupied during folding, and is more suitable for the data acquisition conditions of the slender bottom of sugarcane.

[0058] In addition, this device sets the drive of the lead screw 11 to be meshed drive of bevel gear 13 and bevel gear 2 14, and the rotation drive of bevel gear 13 comes from the rotation of the connecting rod 7 relative to the slide head 5. This saves on power arrangement and further optimizes the volume, while also increasing the overall motion synchronization.

[0059] To address the issue of flexibility; such as Figure 5 As shown, the support platform 3 includes a first plate 18 and a second plate 20. The top of the second plate 20 is rotatably connected to the bottom of the first plate 18 via a rotating shaft 19. The infrared acquisition module 21, the remote sensing module 22, and the image acquisition module 23 are all located at the bottom of the second plate 20. The top of the motor 16 is fixed with bolts, and the output shaft of the motor 16 is connected to the outer wall of the rotating shaft 19 via a synchronous belt 17.

[0060] When the motor 16 starts, it can drive the rotating shaft 19 to rotate through the synchronous belt 17, thereby driving the plate 20 to rotate, realizing the angle change of the infrared acquisition module 21, remote sensing module 22, and image acquisition module 23.

[0061] This device, by setting the support platform 3 as a combination of plate 18 and plate 20, and by setting the motor 16 to drive the rotation of plate 20, realizes the angle change of infrared acquisition module 21, remote sensing module 22 and image acquisition module 23, thereby increasing the flexibility of data acquisition between rows.

[0062] In this embodiment, the entire device can be transported to the sugarcane field by a drone. First, remote sensing data is collected via the remote sensing module 22. After collection, the drone lowers its altitude to above the sugarcane, then extends the telescopic rod 6, which drives the slider 5 to slide. This, in turn, causes the support platform 3 and the data acquisition module 4 fixed to the bottom of the support platform 3 to descend via the connecting rod 7. As the support platform 3 rises and falls, the entire connecting rod 7 rotates. When the connecting rod 7 rotates relative to the slider 5, the first bevel gear 13 also rotates relative to the second bevel gear 14. Since the second bevel gear 14 is fixed, the first bevel gear 13 will exhibit... The self-rotation drives the lead screw 11 to rotate. The lead screw 11 drives the first rod 8 to slide along the second rod 12 through the thread, changing the length of the entire connecting rod 7. After the data acquisition module 4 descends to the required height, infrared data and image data can be acquired using the infrared acquisition module 21 and the image acquisition module 23. At the same time, the data acquisition module 4 can be driven by the flight of the drone to shuttle between the rows of sugarcane. When the motor 16 starts, it can drive the rotating shaft 19 to rotate through the synchronous belt 17, thereby driving the second plate 20 to rotate, realizing the angle change of the infrared acquisition module 21, the remote sensing module 22, and the image acquisition module 23.

[0063] Example 2:

[0064] A drone-based sugarcane pest and disease monitoring system, which is mounted on the drone-based sugarcane pest and disease monitoring device in Example 1, such as... Figure 6 As shown, it includes:

[0065] The information receiving module 29 is connected to the infrared acquisition module 21, the remote sensing module 22 and the image acquisition module 23, and is responsible for acquiring the data monitored by the infrared acquisition module 21, the remote sensing module 22 and the image acquisition module 23;

[0066] The data preprocessing module 28 is connected to the information receiving module 29 and is responsible for preprocessing the data acquired by the information receiving module 29.

[0067] The central processing module 27 is connected to the data preprocessing module 28 and is responsible for performing pest and disease analysis on the data preprocessed by the data preprocessing module 28.

[0068] The communication module 26 is connected to the central processing module 27, and the communication module 26 is also connected to the cloud platform 24 and the monitoring base station 25. The communication module 26 is used to transmit the data of the entire system to the cloud platform 24 and the monitoring base station 25.

[0069] The positioning module 30, which is connected to the central processing module 27, is used to locate the position of the UAV.

[0070] The specific steps are as follows:

[0071] Phase 1: Planning and Preparation

[0072] Identify target pests and analyze their characteristics: Identify the main pests that need to be monitored (such as stem borers, aphids, and thrips). Study their symptoms of damage, for example:

[0073] Visible light characteristics: Leaves are eaten and perforated, yellowed, curled, and the growing point dies.

[0074] Physiological and biochemical characteristics: After being damaged, the plant's photosynthesis is hindered, water stress is aggravated, and chlorophyll content decreases.

[0075] Infrared / thermal characteristics: Stressed plants may experience abnormal stomatal closure, which could lead to an increase or change in canopy temperature (heat stress).

[0076] Phase Two: Multi-Source Data Acquisition

[0077] Construct a three-in-one data acquisition system integrating "satellite-drone-ground".

[0078] Phase 3: Data Processing and Analysis

[0079] Data preprocessing: Radiometric calibration, atmospheric correction, and geometric registration are performed on the images to ensure comparability of data from different sources and time phases.

[0080] Feature extraction and fusion:

[0081] Extract texture features (such as gray-level co-occurrence matrix) from visible light images.

[0082] A series of vegetation indices (NDVI, GNDVI, OSAVI, etc.) are calculated from multispectral data.

[0083] Extract canopy mean temperature, temperature standard deviation, etc. from thermal infrared data.

[0084] The above multi-source features are spatially aligned and fused to form a "feature vector" for each monitoring unit (pixel or plot).

[0085] Pest identification and classification modeling:

[0086] Supervised classification: Using the "healthy / mild / severe" hazard labels from ground surveys, machine learning models (such as random forests and support vector machines) are trained.

[0087] Deep learning: Using convolutional neural networks to train on high-resolution visible light images end-to-end to directly identify pest symptoms.

[0088] Anomaly detection: In the absence of a large number of labels, by comparing the spectral and thermal characteristics of healthy areas, significantly deviating abnormal areas are identified as suspected pest infestation areas.

[0089] Phase 4: Output and Application of Results

[0090] Generate thematic maps of pest distribution: Visually display the spatial distribution of healthy, lightly, moderately, and severely affected areas on a map.

[0091] Quantitative assessment and early warning: Statistics on the affected area and proportion at each level, combined with pest development models, are used to issue early warning information.

[0092] Guiding precise prevention and control: Importing pest distribution maps into variable-rate pesticide application equipment enables "wherever there is pest, spray there", significantly reducing pesticide usage.

[0093] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A sugarcane pest and disease monitoring device based on unmanned aerial vehicles (UAVs), comprising a support base (1) mounted on a platform at the bottom of the UAV, characterized in that, The bottom of the support base (1) is connected to the support platform (3) through the lifting control mechanism (2), and the bottom of the support platform (3) is equipped with a data acquisition module (4) for collecting sugarcane data. The data acquisition module (4) includes: Infrared acquisition module for acquiring infrared images of sugarcane (21) Remote sensing module for collecting sugarcane remote sensing data (22) Image acquisition module (23) for collecting sugarcane image data; The lifting control mechanism (2) includes a slider (5), a telescopic rod (6) and a connecting rod (7). The telescopic rod (6) is fixed to the side wall of the support base (1) by bolts. The slider (5) is slidably connected to the bottom outer wall of the support base (1), and one side wall of the slider (5) is fixedly connected to the telescopic end of the telescopic rod (6). One end of the connecting rod (7) is rotatably connected to the side wall of the bearing platform (3), and the other end of the connecting rod (7) is rotatably connected to the inner side of the slider (5). Multiple telescopic rods (6) extend and retract synchronously.

2. The sugarcane pest and disease monitoring device based on unmanned aerial vehicles (UAVs) according to claim 1, characterized in that, The lifting control mechanism (2) is designed in a multi-group circular array.

3. The sugarcane pest and disease monitoring device based on unmanned aerial vehicles (UAVs) according to claim 1, characterized in that, The connecting rod (7) includes a first rod (8) and a second rod (12) that are slidably connected to each other. The first rod (8) is rotatably connected to the side wall of the support platform (3). The second rod (12) is rotatably connected to the side wall of the slide head (5) through the connecting shaft (15). The inner wall of the second rod (12) is rotatably connected to a lead screw (11). The outer wall of the lead screw (11) is threaded to the inner wall of the first rod (8).

4. A sugarcane pest and disease monitoring device based on unmanned aerial vehicles (UAVs) according to claim 3, characterized in that, The end of the lead screw (11) is fixed with a bevel gear one (13), and the inside of the slide head (5) is fixed with a bevel gear two (14). The bevel gear one (13) and the bevel gear two (14) mesh with each other.

5. A sugarcane pest and disease monitoring device based on unmanned aerial vehicles (UAVs) according to claim 3, characterized in that, The side wall of the second rod (12) is provided with a groove (9), and the two sides of the first rod (8) are fixed with guide blocks (10), which are slidably connected to the inner wall of the groove (9).

6. A sugarcane pest and disease monitoring device based on unmanned aerial vehicles (UAVs) according to claim 1, characterized in that, The support platform (3) includes plate one (18) and plate two (20), and the top of plate two (20) is rotatably connected to the bottom of plate one (18) via a pivot (19).

7. A sugarcane pest and disease monitoring device based on unmanned aerial vehicles (UAVs) according to claim 6, characterized in that, The top of the motor (16) is fixed with bolts, and the output shaft of the motor (16) is connected to the outer wall of the rotating shaft (19) via a synchronous belt (17).

8. A sugarcane pest and disease monitoring device based on unmanned aerial vehicles (UAVs) according to claim 6, characterized in that, The infrared acquisition module (21), remote sensing module (22), and image acquisition module (23) are all located at the bottom of plate two (20).

9. A sugarcane pest and disease monitoring system based on unmanned aerial vehicles (UAVs), which is mounted on the sugarcane pest and disease monitoring device based on UAVs as described in any one of claims 1-8, characterized in that, include: The information receiving module (29) is connected to the infrared acquisition module (21), the remote sensing module (22) and the image acquisition module (23), and is responsible for collecting the data monitored by the infrared acquisition module (21), the remote sensing module (22) and the image acquisition module (23); The data preprocessing module (28) is connected to the information receiving module (29) and is responsible for preprocessing the data acquired by the information receiving module (29); The central processing module (27) is connected to the data preprocessing module (28) and is responsible for performing pest and disease analysis on the data preprocessed by the data preprocessing module (28). The communication module (26) is connected to the central processing module (27), and the communication module (26) is also connected to the cloud platform (24) and the monitoring base station (25). The communication module (26) is used to transmit the data of the entire system to the cloud platform (24) and the monitoring base station (25).

10. A sugarcane pest and disease monitoring system based on unmanned aerial vehicles (UAVs) according to claim 9, characterized in that, It also includes a positioning module (30), which is connected to the central processing module (27) for locating the drone's position.

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