Degenerated desertified grassland restoration accurate variable mixed reseeding equipment and method based on remote sensing vegetation coverage map

Abstract

The invention discloses a remote sensing vegetation coverage map-based degraded desertified grassland restoration accurate variable mixed reseeding device and method. The variable mixed reseeding equipment comprises a power machine, a variable mixed reseeding equipment host, a storage battery and a display control terminal, the power machine is used for providing power for the variable mixed reseeding equipment host; the storage battery is used for supplying power to the display control terminal and the variable mixed reseeding equipment host; and the display control terminal is used for controlling the operation of the variable mixed reseeding equipment host according to the received vegetation coverage remote sensing map of the pre-restored mixed-seeding degraded desertification grassland so as to carry out accurate variable mixed reseeding. According to the method, intelligent seeding rate variable control of multi-grass-seed high-uniformity mixed reseeding can be realized by adopting a vegetation coverage remote sensing information graph digital technology.

Description

Technical Field

[0001] This invention relates to the field of ecological restoration technology for degraded and desertified grasslands, specifically to a precise variable mixed reseeding equipment and method for restoring degraded and desertified grasslands based on remote sensing vegetation cover maps. Background Technology

[0002] Ecological restoration of degraded and desertified grasslands is a crucial part of improving the ecological environment and promoting sustainable economic and social development. Efficient and high-quality ecological environment governance requires advanced methods and intelligent equipment to improve efficiency. Mixed reseeding with suitable grass species is a vital step in the ecological restoration of degraded and desertified grasslands, playing a significant role in the process.

[0003] Currently, there is a lack of suitable methods and equipment for mixed reseeding in the ecological restoration of degraded and desertified grasslands. Due to varying external influences, the degree of degradation and desertification of degraded and desertified grasslands differs. Even within the same area, some plots may have lush vegetation while others have sparse vegetation, resulting in variations in vegetation cover. Traditional mixed reseeding methods cannot accurately assess the degree of vegetation degradation and desertification. Using a uniform seeding rate for mixed reseeding either wastes seeds or results in insufficient seed quantity, failing to achieve precise, variable-rate ecological restoration based on vegetation conditions, thus hindering the improvement of mixed reseeding quality and seed conservation. Summary of the Invention

[0004] To address the technical problems existing in the background art mentioned above, the purpose of this invention is to provide a precise variable mixed reseeding equipment and method for the restoration of degraded and desertified grasslands based on remote sensing vegetation cover maps.

[0005] To achieve the objectives of this invention, the technical solution provided by this invention is as follows:

[0006] First aspect

[0007] This invention provides a precision variable mixed reseeding equipment for the restoration of degraded and desertified grassland based on remote sensing vegetation cover maps, including a variable mixed reseeding equipment host and a display and control terminal;

[0008] The display control terminal is used to control the operation of the variable mixed reseeding equipment host to carry out precise variable mixed reseeding based on the received remote sensing map of vegetation coverage of pre-repaired mixed reseeding degraded and desertified grassland.

[0009] Furthermore, the vegetation cover remote sensing image is based on drone photography or satellite remote sensing information.

[0010] Furthermore, the display control terminal includes a vegetation coverage zoning module, a central information processor module, a seeding control module, a satellite positioning module, and a human-computer interaction module;

[0011] The vegetation coverage zoning module is used to divide the vegetation coverage remote sensing map into patches according to the density of vegetation coverage, and to create a remote sensing image control map for controlling different sowing variables.

[0012] The central information processor module interacts with the vegetation coverage zoning module to identify the vegetation coverage remote sensing image control map, transmit the information to the sowing control module, and determine the location of the mixed sowing equipment in real time and monitor the operating speed information of the mixed sowing equipment in real time through the satellite positioning module.

[0013] The sowing control module controls the rotation speed of the seed metering device in multiple seed boxes, thereby adjusting the sowing amount and controlling different sowing amounts for mixed sowing of grass seeds in multiple boxes.

[0014] The human-computer interaction module is used to view vehicle speed information, rotation speed information, and sowing information in real time.

[0015] Furthermore, the vegetation cover zoning module generates a remote sensing image control map through the following steps:

[0016] Step 1: Process the received vegetation cover remote sensing image, including image correction, stitching and orthophoto generation, to obtain the processed vegetation cover remote sensing image.

[0017] Step 2: Calculate the vegetation index, which serves as the basic indicator for calculating vegetation coverage.

[0018] Step 3: Calculate the vegetation coverage of each pixel based on the vegetation index;

[0019] Step 4: Divide the calculated vegetation coverage into five levels and assign corresponding visual color labels;

[0020] Step 5: Convert the divided raster data into vector data format, with each vegetation cover level corresponding to an independent vector plane graphic;

[0021] Step 6: Based on the needs of ecological restoration, assign corresponding seeding parameters to each vector graphic to ultimately generate a precise remote sensing image control map.

[0022] Furthermore, in step 2, the formula for calculating the vegetation index is as follows:

[0023]

[0024] Among them, the vegetation index RE-NDVI uses the red-edge enhanced normalized difference vegetation index. NIR is the near-infrared reflectance, which reflects the vegetation structure, and healthy vegetation has a high reflectance; R is the red-light reflectance, which reflects chlorophyll absorption, and healthy vegetation has a low reflectance; RE is the red-edge reflectance, which reflects the physiological state of vegetation and is sensitive to stress; α is the weight parameter for adjusting the contribution of the red edge.

[0025] Furthermore, in step 3, the following calculation formula is used to calculate the vegetation coverage of each pixel based on the vegetation index:

[0026] FVC = (RE-NDVI - RE-NDVIs) / (RE-NDVIv - RE-NDVIs)

[0027] Among them, FVC is the vegetation coverage, RE-NDVIs represents the vegetation index value of pixels with completely no vegetation coverage, and RE-NDVIv represents the vegetation index value of pure vegetation pixels.

[0028] Furthermore, in step 4, the vegetation coverage is divided into five levels and corresponding visual color identifications are assigned, specifically as follows:

[0029] Level 1 (0% ≤ FVC ≤ 10%): Low vegetation coverage, marked in red;

[0030] Level 2 (10% < FVC ≤ 30%): Relatively low vegetation coverage, marked in yellow;

[0031] Level 3 (30% < FVC ≤ 50%): Moderate vegetation coverage, marked in blue;

[0032] Level 4 (50% < FVC ≤ 70%): Relatively high vegetation coverage, marked in brown;

[0033] Level 5 (70% < FVC ≤ 100%): High vegetation coverage, marked in green.

[0034] Furthermore, the seed box is also connected with an intermittent hole-type seed metering device.

[0035] Second aspect

[0036] The present invention provides a precise variable mixed seeding method for restoring degraded and desertified grasslands based on a remote sensing vegetation coverage map. The method is carried out by using the precise variable mixed seeding equipment for restoring degraded and desertified grasslands based on the remote sensing vegetation coverage map.

[0037] Compared with existing technologies, this invention can use vegetation cover remote sensing information map digital technology to achieve intelligent variable control of seeding quantity for multi-grass species mixed reseeding with high uniformity. It controls the amount of mixed grass seeds in real time according to the vegetation cover gradient changes of degraded and desertified grasslands. Through the integration of multidisciplinary technologies, it reduces labor intensity, saves seed usage, and reduces costs, achieving precise and near-natural mixed reseeding for ecological restoration. It forms an efficient integrated technology model for the synergistic improvement of ecology and production in degraded grasslands, providing precise and advanced technical methods and equipment support for the large-scale restoration, management and utilization of degraded and desertified grasslands. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the application structure of the precision variable mixed reseeding equipment for the restoration of degraded and desertified grassland based on remote sensing vegetation cover maps provided in an embodiment of the present invention.

[0039] Figure 2 This is a schematic diagram of the structure of the precision variable mixed reseeding equipment for the restoration of degraded and desertified grassland based on remote sensing vegetation cover maps provided in an embodiment of the present invention;

[0040] Figure 3 This is a schematic diagram of the seed box structure in an embodiment of the present invention;

[0041] Figure 4 This is a schematic diagram of the main structure of the intermittent hole-type seed metering device in an embodiment of the present invention;

[0042] Figure 5 This is a side view of the intermittent hole-type seed metering device in an embodiment of the present invention;

[0043] Figure 6 This is a schematic diagram of the closed state of the intermittent hole-type seed metering device in an embodiment of the present invention;

[0044] Figure 7 This is a schematic diagram showing the open state of the intermittent hole-type seed metering device in an embodiment of the present invention;

[0045] Figure 8 This is a schematic diagram of the sowing state of the intermittent hole seed metering device in an embodiment of the present invention. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0047] To address the current technical challenge of lacking suitable methods and equipment for mixed reseeding in the ecological restoration of degraded and desertified grasslands, this project utilizes drones or satellite technology to acquire remote sensing images of vegetation cover in the grasslands requiring ecological restoration. These images are then categorized into vegetation levels, and the seeding rate of the mixed grass seeding machine is controlled based on these levels to achieve precise variable-rate mixed reseeding for grassland ecological restoration. The mixed reseeding equipment controls the operation of the seeder's core seeding components through the categorized vegetation cover images, enabling precise variable-rate reseeding. Furthermore, the machine is equipped with multiple seed boxes to sow various types of grass seeds, achieving the goal of variable-rate seeding using both remote sensing technology and diverse forage seed types.

[0048] Figure 1 In the middle, 1. Power unit; 2. Battery; 3. Display and control terminal; 4. Variable mixing and reseeding equipment host;

[0049] Figure 2 In the middle section, 5. Traction frame; 6. Frame; 7. Working clutch; 8. Seed box; 9. Continuously variable transmission; 10. Unit disc furrow opener; 11. Servo motor; 12. Cam control motor; 13. Walking wheel; 14. Hydraulic cylinder; 15. Seed metering device; 16. Intermittent hole seed metering device; 17. Contouring frame; 18. Rear seed tube; 19. Double disc furrow opener; 20. Pressing wheel; 21. Workbench;

[0050] Figure 3 In the middle, 22, the first type of box; 23, the second type of box; 24, the third type of box; 25, the fourth type of box; 26, the pre-seeding tube; 27, seed 1; 28, seed 2;

[0051] Figures 4-5 In the middle section, 29. Seed metering device housing; 30. Seed bin; 31. Cam; 32. Seed metering gate connecting rod; 33. Seed metering gate; 34. Outer ring; 35. Seed metering port adjusting plate; 36. Hexagonal shaft; 37. Fixed pin; 38. Rotating seed metering wheel; 39. Flexible sealing sheet;

[0052] Figure 8 38. Rotating seeding wheel.

[0053] Example 1

[0054] like Figures 1-8 As shown, this embodiment provides a precision variable mixed reseeding equipment for the restoration of degraded and desertified grassland based on remote sensing vegetation cover maps, including a variable mixed reseeding equipment host 4 and a display and control terminal 3;

[0055] The display control terminal 3 is installed in the cab and is used to control the variable mixed reseeding equipment host 4 to perform precise variable mixed reseeding based on the received remote sensing map of vegetation coverage of pre-repaired mixed reseeding degraded and desertified grassland.

[0056] It should be noted that, as Figure 1As shown, during use, the power unit 1 provides power to the variable mixing and re-seeding equipment host 4; the battery 2 is used to power the display control terminal 3 and the variable mixing and re-seeding equipment host 4.

[0057] The main unit of the variable mixing and reseeding equipment 4 is mainly composed of a traction frame 5, a frame 6, a working clutch 7, a seed box 8, a continuously variable transmission 9, a unit disc furrow opener 10, a servo motor 11, a cam control motor 12, a traveling wheel 13, a hydraulic cylinder 14, a seed metering device 15, an intermittent hole-type seed metering device 16, a contour frame 17, a front seed tube 26, a rear seed tube 18, a double disc furrow opener 19, a press wheel 20, and a worktable 21.

[0058] It should be noted that the variable-rate mixed reseeding equipment provided in this embodiment is an important carrier for realizing remote sensing-based controlled restoration of desertified grassland. Based on near-natural restoration, the types of grass seeds used in the mixed reseeding are close to the types of grassland in the ecological restoration site. The variable-rate seeder achieves mixed reseeding of different types of grass seeds through multiple boxes and quantitative hole-type reseeding through an intermittent hole-type seed metering device, which can achieve precise, small-volume, hole-type seeding, realize near-natural seeding, and reduce seed waste.

[0059] Preferably, the vegetation cover remote sensing image is based on UAV (unmanned aerial vehicle) photography or satellite remote sensing information. The UAV can be equipped with a high-precision positioning module and a multispectral camera to acquire multispectral images, ensuring coverage of the entire survey area. The quality of the acquired images is ensured by setting the flight altitude and overlap rate. Satellite-acquired remote sensing images require a resolution within 10x10 meters to guarantee image quality.

[0060] Preferably, the display control terminal includes a vegetation coverage zoning module, a central information processor module, a seeding control module, a satellite positioning module, and a human-computer interaction module; it realizes accurate quantitative analysis and visual expression of vegetation coverage, providing reliable technical support for the planning and implementation of ecological restoration projects.

[0061] The vegetation coverage zoning module is used to divide the vegetation coverage remote sensing map into patches according to the density of vegetation coverage, and to create a remote sensing image control map for controlling different sowing variables.

[0062] The vegetation cover zoning module generates remote sensing image control maps through the following steps: These steps achieve precise zoning and visualization of vegetation cover, providing reliable technical support for the planning and implementation of ecological restoration projects.

[0063] Step 1: Process the received vegetation cover remote sensing image, including image correction, stitching and orthophoto generation, to obtain the processed vegetation cover remote sensing image, ensuring that the data quality meets the requirements of subsequent analysis.

[0064] Step 2: Calculate the vegetation index, which serves as the basic indicator for calculating vegetation coverage; preferably, the calculation formula for the vegetation index is as follows:

[0065]

[0066] The vegetation index RE-NDVI is a red-edge enhanced normalized difference vegetation index. NIR is near-infrared reflectance, reflecting vegetation structure; healthy vegetation has high reflectance. R is red light reflectance, reflecting chlorophyll absorption; healthy vegetation has low reflectance. RE is red-edge reflectance, reflecting vegetation physiological state and sensitivity to stress. α is a weighting parameter that regulates the contribution of red edge, with a value of 1-3. Detailed parameter descriptions are shown in Table 1.

[0067] Table 1

[0068]

[0069] It should be noted that RE-NDVI is an optimization based on the traditional NDVI (Normalized Difference Vegetation Index) by introducing the red edge band (RE):

[0070] (1) Unique optical characteristics of the red-edge band

[0071] The red edge (700–740 nm) lies between red light (670 nm and up) and near-infrared light (~800 nm), representing a sharp change in vegetation reflectance (“red edge steep slope”). This is because red light is strongly absorbed by chlorophyll, while near-infrared light is highly reflective due to scattering within the leaves. Located in this transitional zone, the red edge is extremely sensitive to chlorophyll content, leaf structure, and water status.

[0072] When vegetation is subjected to stresses such as drought and disease, the red edge position will "blue shift" (move towards the shortwave direction), and the shape of the reflectance curve will change significantly.

[0073] (2) Limitations of traditional NDVI

[0074] a) Easily saturated: At high leaf area index, NDVI is not sensitive to vegetation changes.

[0075] b) Ignoring red edge information: Using only NIR and R, it is impossible to capture subtle changes in leaf biochemical parameters (such as chlorophyll and nitrogen content).

[0076] (3) Technical advantages of using RE-NDVI

[0077] a) Enhance dynamic range: Introduce additional information through red borders to mitigate the saturation effect in areas with high vegetation cover.

[0078] b) Disaster monitoring capabilities: Red edges are more sensitive to early-stage disasters such as drought and pests, and can provide early warnings.

[0079] Step 3: Calculate the vegetation coverage of each pixel based on the vegetation index;

[0080] Preferably, the following calculation formula is used to calculate the vegetation coverage of each pixel based on the vegetation index:

[0081] FVC = (RE-NDVI - RE-NDVIs) / (RE-NDVIv - RE-NDVIs)

[0082] where FVC is the vegetation coverage, RE-NDVIs represents the vegetation index value of pixels with complete vegetation-free coverage, and RE-NDVIv represents the vegetation index value of pure vegetation pixels.

[0083] Step 4: Divide the calculated vegetation coverage into five grades and assign corresponding visual color identifications;

[0084] Preferably, the vegetation coverage is divided into five grades and corresponding visual color identifications are assigned as follows:

[0085] Grade 1 (0% ≤ FVC ≤ 10%): Low vegetation coverage, identified by red;

[0086] Grade 2 (10% < FVC ≤ 30%): Relatively low vegetation coverage, identified by yellow;

[0087] Grade 3 (30% < FVC ≤ 50%): Moderate vegetation coverage, identified by blue; <从

[0088] Grade 4 (50% < FVC ≤ 70%): Relatively high vegetation coverage, identified by brown; <从

[0089] Grade 5 (70% < FVC ≤ 100%): High vegetation coverage, identified by green.

[0090] Step 5: Convert the divided raster data into vector data format, and each vegetation coverage grade corresponds to an independent vector plane graph;

[0091] Step 6: Based on the ecological restoration requirements, assign corresponding seeding rate parameters to each vector graph, and finally generate an accurate remote sensing image control map.

[0092] The central information processor module interacts with the vegetation coverage zoning module, is used to identify the vegetation coverage remote sensing image control map, transmit the information to the seeding control module, and determine the position of the mixed seeding and sowing equipment in real time through the satellite positioning module and monitor the operation walking speed information of the mixed seeding and sowing equipment in real time;

[0093] The seeding control module controls the rotation speed of the seed dischargers of multiple seed boxes, thereby realizing the adjustment of the seeding rate and controlling the different seeding amounts of mixed seeding of grass seeds in multiple seed boxes;

[0094] It should be noted that the seeding control module is mainly used to control the operation of the motor driving the seed metering shaft and to transmit the seed metering shaft speed signal back to the central information processor module in real time. The seeding control module controls the motor speed using the model formula n = 6BvM / (zm), where n is the seed metering speed (r / min); B is the machine working width (m); v is the machine travel speed (m / s); and M is the remotely preset seeding rate (kg / hm). 2 z represents the number of seed metering devices; m represents the amount of seed discharged in one revolution of the seed metering device, in g / r; the goal is to achieve the desired amount of mixed grass seeding by pre-setting the seeding amount through remote sensing images, controlling the machine's walking speed v, and controlling the rotational speed (n) of the seed metering shaft.

[0095] The human-machine interaction module is used to view vehicle speed, rotation speed and sowing information in real time, and supports precise control of multiple sections of the machine.

[0096] It should be noted that in this embodiment, the variable mixed reseeding equipment frame is equipped with two large seed boxes that can accommodate different grass species. Each large seed box is further divided into two seed boxes by a partition, namely the first seed box 22, the second seed box 23, the third seed box 24, and the fourth seed box 25. This can achieve the purpose of simultaneous sowing of multiple types of grass species. If there are more than four types of grass species, grass species with similar shapes, sizes, and physical properties can be mixed in one seed box.

[0097] Each seed box has a row of multiple sowing units below it, and each sowing unit is equipped with a seed metering device 15. Each seed box has a continuously variable transmission (CVT) 9 and a servo motor 11 mounted on its side. The servo motor 11 is connected to the seed metering device 15 of the row of multiple sowing units at the corresponding position via the CVT 9, controlling the seed metering device 15 to dispense seeds. The rotation speed of the servo motor 11 is controlled by the seeding rate control module. The motor speed is adjusted in real time based on the seeding rate information set in the remote sensing prescription map and the vehicle's travel speed to adjust the seeding rate as needed. It should be noted that the specific connection relationship between the servo motor, the CVT, and the seed metering device is existing technology and will not be described further here.

[0098] Each of the two seed boxes in each large seed box has an intermittent seed metering mechanism connected to the lower part of the two sowing units at the corresponding positions. One of the intermittent seed metering mechanisms of the large seed box is connected to the front seed tube 26 at the corresponding position, and the other is connected to the rear seed tube 18.

[0099] Each intermittent seed metering mechanism includes an intermittent hole-type seed metering device 16 installed at the bottom of the seed box.

[0100] The intermittent hole-type seed metering device 16 mainly consists of a seed metering device housing 29, a seed chamber 30, a cam 31, a seed metering gate connecting rod 32, a seed metering gate 33, an outer ring 34, a seed metering port adjusting plate 35, a hexagonal shaft 36, a fixed pin 37, and a rotating seed metering wheel 38.

[0101] The seeds discharged by the seed metering device enter the seed metering device housing 29 and reach the seed bin 30. The outer ring 34 is fixed on the seed metering device housing 29. The outer ring 35 has a feeding inlet and a seed discharge outlet at the top and bottom of the middle, respectively. A rotating seed metering wheel 38 is provided inside the outer ring 35. A hexagonal shaft 36 passes through the rotating seed metering wheel 38 and drives the rotating seed metering wheel 38 to rotate. The seeds enter the rotating seed metering wheel 38 through the feeding inlet above the outer ring 35 and are discharged into the front seed tube 26 or the rear seed tube 18 through the seed discharge outlet below.

[0102] Each of the rotating seed metering wheels 38 has a cam 31 with an annular convex sliding groove on each of its two hexagonal shafts. A seed metering gate connecting rod 32 is slidably connected to the sliding grooves of the two cams 31. The lower end of each seed metering gate connecting rod 32 is hinged to a seed metering gate 33 that can close the seed metering device housing 29. The seed metering gate 33 is also hinged to a fixing pin 37 fixed to the seed metering device housing 29. It should be noted that the left end of the seed metering gate 33 is sealed to the seed metering device housing 29 via a flexible sealing sheet 39, effectively preventing seeds from leaking from the left end. The flexible sealing sheet 39 can be made of rubber. Each large seed box is equipped with a cam-controlled motor 12, which drives the corresponding hexagonal shaft to rotate. Each hexagonal shaft drives multiple rotating seed metering wheels 38 to rotate. The outer ring 35 has a seed metering inlet adjustment plate 35 on its side, which allows manual adjustment of the feeding inlet size according to different forage seeds.

[0103] During sowing, the cam-controlled motor 12 drives the hexagonal shaft 36 to rotate, which in turn drives the rotating seed metering wheel 38 and the cams 31 on both sides of the hexagonal shaft to rotate. The seed metering gate connecting rod 32 is connected to the lower part of the two cams 31. The seed metering gate connecting rod 32 moves up and down with the rotation of the cams 31, so that the seed metering gate 33 connected to the other end of the seed metering gate connecting rod 32 rotates around the fixed pin 37 at a certain angle. The seed metering gate 33 opens and closes with the seed metering gate connecting rod 32, thus achieving the function of closing and opening the seed metering channel.

[0104] Preferably, the sliding groove of the cam 31 is designed such that three-quarters of the circumference is closed and one-quarter of the circumference is open, forming a small-volume, hole-seeding state.

[0105] In addition, the ditching and pressing section is installed on the frame 6. Through the four-bar linkage contouring mechanism, the double disc ditcher 19 floats up and down with the terrain undulations, controlling the disc ditcher and the pressing wheel 20 to follow the terrain contours and achieve consistent sowing depth.

[0106] Example 2

[0107] This embodiment provides a precise variable mixed reseeding method for the restoration of degraded and desertified grassland based on remote sensing vegetation cover maps. The method is carried out using the precise variable mixed reseeding equipment for the restoration of degraded and desertified grassland based on remote sensing vegetation cover maps as described in Embodiment 1.

[0108] Finally, it should be noted that the above embodiments are merely illustrative and explanatory of the present invention, and are not intended to limit the present invention to the scope of the described embodiments. Furthermore, those skilled in the art will understand that the present invention is not limited to the above embodiments, and many more variations and modifications can be made based on the teachings of the present invention, all of which fall within the scope of protection claimed by the present invention.

Claims

1. A precision variable-rate reseeding equipment for the restoration of degraded and desertified grasslands based on remote sensing vegetation cover maps, characterized in that, Includes variable mixing re-broadcasting equipment host (4) and display control terminal (3); The display control terminal (3) is used to control the variable mixed reseeding equipment host (4) to perform precise variable mixed reseeding based on the received remote sensing map of vegetation coverage of pre-repaired mixed reseeding degraded and desertified grassland.

2. The precision variable reseeding equipment for restoring degraded and desertified grassland based on remote sensing vegetation cover maps according to claim 1, characterized in that, The vegetation cover remote sensing image is based on drone photography or satellite remote sensing information.

3. A precision variable reseeding equipment for restoring degraded and desertified grassland based on remote sensing vegetation cover maps, as described in claim 1 or 2, is characterized in that... The display control terminal includes a vegetation coverage zoning module, a central information processor module, a seeding control module, a satellite positioning module, and a human-computer interaction module. The vegetation coverage zoning module is used to divide the vegetation coverage remote sensing map into patches according to the density of vegetation coverage, and to create a remote sensing image control map for controlling different sowing variables. The central information processor module interacts with the vegetation coverage zoning module to identify the vegetation coverage remote sensing image control map, transmit the information to the sowing control module, and determine the location of the mixed sowing equipment in real time and monitor the operating speed information of the mixed sowing equipment in real time through the satellite positioning module. The sowing control module controls the rotation speed of the seed metering device in multiple seed boxes, thereby adjusting the sowing amount and controlling different sowing amounts for mixed sowing of grass seeds in multiple boxes. The human-computer interaction module is used to view vehicle speed information, rotation speed information, and sowing information in real time.

4. The precision variable reseeding equipment for restoring degraded and desertified grassland based on remote sensing vegetation cover maps according to claim 3, characterized in that, The vegetation coverage zoning module generates remote sensing image control maps through the following steps: Step 1: Process the received vegetation cover remote sensing image, including image correction, stitching and orthophoto generation, to obtain the processed vegetation cover remote sensing image. Step 2: Calculate the vegetation index, which serves as the basic indicator for calculating vegetation coverage. Step 3: Calculate the vegetation coverage of each pixel based on the vegetation index; Step 4: Divide the calculated vegetation coverage into five levels and assign corresponding visual color labels; Step 5: Convert the divided raster data into vector data format, with each vegetation cover level corresponding to an independent vector plane graphic; Step 6: Based on the needs of ecological restoration, assign corresponding seeding parameters to each vector graphic to ultimately generate a precise remote sensing image control map.

5. The precision variable mixed reseeding equipment for restoring degraded and desertified grassland based on remote sensing vegetation cover maps according to claim 4, characterized in that, In step 2, the vegetation index is calculated using the following formula: Among them, the vegetation index RE-NDVI adopts the red-edge enhanced normalized differential vegetation index. NIR is near-infrared reflectance, which reflects vegetation structure. Healthy vegetation has high reflectance. R is red light reflectance, which reflects chlorophyll absorption. Healthy vegetation has low reflectance. RE is red edge reflectance, which reflects the physiological state of vegetation and is sensitive to stress. α is a weighting parameter that regulates the contribution of red edge.

6. The precision variable mixed reseeding equipment for restoring degraded and desertified grassland based on remote sensing vegetation cover maps according to claim 5, characterized in that, In step 3, the vegetation coverage of each pixel is calculated based on the vegetation index using the following formula: FVC=(RE-NDVI-RE-NDVIs) / (RE-NDVIv-RE-NDVIs) Wherein, FVC represents vegetation cover, RE-NDVIs represents the vegetation index value of a pixel with no vegetation cover, and RE-NDVIv represents the vegetation index value of a pixel with pure vegetation.

7. The precision variable reseeding equipment for restoring degraded and desertified grassland based on remote sensing vegetation cover maps according to claim 6, characterized in that, In step 4, the vegetation coverage is divided into five levels and each level is assigned a corresponding visual color indicator, as follows: Level 1 (0% ≤ FVC ≤ 10%): Low vegetation cover, red label; Level 2 (10% < FVC ≤ 30%): Relatively low vegetation cover, yellow label; Level 3 (30% < FVC ≤ 50%): Moderate vegetation cover, blue label; Level 4 (50% < FVC ≤ 70%): Relatively high vegetation cover, brown label; Level 5 (70% < FVC ≤ 100%): High vegetation cover, green label.

8. The precision variable reseeding equipment for restoring degraded and desertified grassland based on remote sensing vegetation cover maps according to claim 3, characterized in that, The seed box is also connected with an intermittent hole-type seed metering device.

9. A precise variable-rate mixed reseeding method for the restoration of degraded and desertified grasslands based on remote sensing vegetation cover maps, characterized in that... The method is carried out by using the precise variable mixed seeding equipment for restoring degraded and desertified grasslands based on the remote sensing vegetation coverage map as described in any one of claims 1-8.

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