Wambo citrus grading device

Abstract

The utility model discloses a wampe grading device, sets up the shunt baffle a at the feed inlet, makes wampe can enter the loading conveyor belt in 4 lines, installs the shunt baffle b on the loading conveyor belt, makes the wampe in single line can be transported to the conveyor belt behind single by the chute, the conveyor belt has 4, for ensuring the accuracy of the identification result, is equipped with the black box on the conveyor belt, has the identification camera and the light source, is used for identifying wampe quality, after then wampe is transported to corresponding grading area, and the stepping motor drives the grading baffle to rotate, makes wampe fall into the collection chute below the conveyor belt, finally along the collection chute enters the fruit basket and completes the grading work, the utility model improves the grading efficiency and quality, reduces the manual cost, promotes the fruit grading technology to the automation, the intelligent direction development, has important practical significance and broad application prospect.

Description

Technical Field

[0001] This utility model relates to the field of Wogan orange screening technology, and in particular to a Wogan orange grading device. Background Technology

[0002] Currently, although most small fruit washing plants are equipped with size sorting equipment to perform preliminary screening of Wogan tangerines based on physical dimensions such as diameter and weight, secondary grading still relies on manual labor based on appearance (such as color uniformity, surface blemishes, and coloring). This "mechanical size sorting + manual appearance sorting" model means that the grading process for Wogan tangerines still faces many challenges. Traditional grading methods, which rely mainly on manual sorting, have three core problems: First, low efficiency. Manual sorting speed is typically 40-70 pieces per minute, which is difficult to match the production demands of large-scale planting, especially during peak harvest season when backlogs of sorting occur, leading to fruit loss. Second, high cost. Manual sorting requires a large labor force, and labor costs are rising year by year, further squeezing the industry's profit margins. Third, inconsistent standards. Manual sorting relies on subjective judgment, and there are individual differences in the assessment of appearance indicators such as fruit color and blemishes, easily leading to "different grades for the same fruit," which not only affects the stability of product quality but also reduces the trust and competitiveness of Wogan tangerines in domestic and international markets.

[0003] From the perspective of the current state of industry technology, most mainstream fruit sorting devices on the market rely on single physical indicators such as fruit diameter and weight for grading. They cannot accurately identify surface defects of Wogan oranges, such as mechanical damage, pest and disease scars, and uneven coloring, making it difficult to meet the requirements for high-quality grading. Although there are some mechanical grading devices in China, most are still in the traditional mechanical stage, and intelligent grading technology based on machine vision is still in its infancy. Although related technologies abroad have been developed earlier and can achieve multi-indicator detection, the equipment is expensive and has poor adaptability, making it difficult to popularize in small and medium-sized Wogan orange planting bases and processing plants in China.

[0004] Furthermore, the export potential of the Wogan mandarin orange industry is limited by insufficient post-harvest processing capacity, with current annual exports accounting for only 2% of the total output value. If the bottleneck in appearance grading technology cannot be overcome, even with size screening, a large number of high-quality Wogan mandarins may still be sold at low prices due to inaccurate appearance grading, failing to increase product added value and hindering the entire industry's development towards high quality and internationalization. Therefore, developing a highly adaptable, efficient, and cost-controllable Wogan mandarin orange grading device that can further achieve precise appearance grading on top of size grading has become a key requirement for solving current industry pain points and promoting the intelligent upgrading of the Wogan mandarin orange industry. Summary of the Invention

[0005] The purpose of this invention is to provide a Wogan citrus grading device with a reasonable structural design, simple and convenient operation, and improved sorting efficiency.

[0006] The purpose of this utility model is achieved as follows: The overall design scheme of the automatic grading device for Wogan oranges is as follows: Figure 7 As shown, to achieve multi-line identification and grading and improve work efficiency, a diversion baffle a is set at the feed inlet, allowing the Wogan oranges to enter the feeding conveyor belt in four separate lines. A diversion baffle b is installed on the feeding conveyor belt, allowing the Wogan oranges in a single line to be individually transported to the subsequent conveyor belt via a chute. There are four conveyor belts, and to ensure the accuracy of the identification results, a black box containing an identification camera and a light source is installed on the conveyor belt for identifying the quality of the Wogan oranges. Afterward, the Wogan oranges are transported to the corresponding grading area, where a stepper motor drives the grading baffle to rotate, causing the Wogan oranges to fall into the collection chute below the conveyor belt, and finally enter the fruit basket along the collection chute to complete the grading process.

[0007] As a further preferred embodiment of this utility model, the height of the feed inlet is 0.5m above the ground, which can be connected to the feeding conveyor belt or manually fed, thus increasing its practicality.

[0008] As a further preferred embodiment of this utility model, the distance between every two diversion baffles a is 100mm and the tilt angle is 30°, which can ensure that the Wogan oranges can pass smoothly through the gaps between the diversion baffles a.

[0009] As a further preferred embodiment of this utility model, the inclined angle of the feeding conveyor belt is 45°, and a diversion b is provided on the feeding conveyor belt 3, the diversion b having a height of 5cm and a spacing of 13cm.

[0010] As a further preferred embodiment of this utility model, the black box is composed of a light shield, with a light source installed at the top inside the light shield to ensure the quality of the acquired images and prevent changes in external light from affecting camera recognition. Simultaneously, to obtain more accurate data, two cameras are configured to identify the front and back of the Wogan orange. The camera mounting bracket adopts an adjustable design, allowing adjustment of the camera mounting height, camera spacing, and angle to cope with different situations.

[0011] As a further preferred embodiment of this utility model, three graded baffles are provided on the conveyor belt frame, which transport the tangerines to the collection chute below.

[0012] Compared with the prior art, the beneficial effects of this utility model are as follows: This Wogan tangerine grading device adopts a multi-channel design, using a feed hopper diversion baffle to divide the tangerines into four conveyor lines. Combined with the coordinated operation of the feeding conveyor belt and other conveyor belts, the grading efficiency can reach 120 tangerines per minute, which is 1.7-3 times the efficiency of manual sorting. The device employs a streamlined operation process, using multiple lines simultaneously for grading in three areas: feeding, identification, and grading. This effectively solves the problem of backlog during peak harvest season, meets the batch processing needs of large-scale planting bases and processing plants, and significantly improves the overall production efficiency of the industry. This device, based on machine vision technology, incorporates dual recognition cameras and a controllable light source within a black box. It simultaneously detects multiple indicators of Wogan oranges, including color uniformity and ripeness, as well as defects such as mechanical damage, pest and disease scars, and blemishes, achieving a level of precision far exceeding that of manual sorting. Furthermore, it strictly adheres to national citrus grading standards and industry premium standards, classifying Wogan oranges into four categories: premium, first-grade, second-grade, and damaged fruit, ensuring consistent quality across all grades and effectively addressing the issue of inconsistent standards in manual grading. This precise grading not only improves the appearance and quality stability of Wogan oranges but also helps companies develop differentiated pricing strategies based on different grades, significantly enhancing the product's competitiveness in domestic and international markets and facilitating the expansion of export markets. This device fully incorporates the physical characteristics of Wogan oranges during the design phase: a safe drop height (less than 1.5m) was determined through drop tests, and the tilt angle of the feeding conveyor belt (45°) and the buffer design of the collection chute were optimized; considering the need to avoid damage to the Wogan oranges, PVC foam boards were selected for the feeding conveyor belt baffles. These boards have good toughness and can complete the conveying work well. The soft edges of the PVC foam boards prevent damage to the Wogan oranges during the conveying process, while also being non-shedding, preventing waste from being generated by collisions and friction and sticking to the surface of the Wogan oranges, which would affect later identification; the grading baffles adopt a hollow design, reducing the motor load while ensuring that the fruit falls smoothly into the fruit basket. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of this utility model, the drawings used in the technical description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of the structure of this utility model.

[0015] Figure 2 This is a schematic diagram of the hierarchical regional structure.

[0016] Figure 3 This is a schematic diagram of the material distribution hopper structure.

[0017] Figure 4This is a schematic diagram of the diversion slide structure.

[0018] Figure 5 This is a schematic diagram of the feeding conveyor belt structure.

[0019] Figure 6 This is a schematic diagram of the internal structure of the black box.

[0020] Figure 7 This is a flowchart of the present invention.

[0021] Figure 8 The effect of conveyor belt tilt angle on performance indicators.

[0022] Figure 9 The effect of the height of the diversion baffle b on performance indicators.

[0023] Figure 10 The effect of the spacing of the diversion baffles on performance indicators.

[0024] Among them, 1-feed hopper, 2-diverting baffle a, 3-feeding conveyor belt, 4-diverting chute, 5-black box: 501 identification camera, 502 light source, 6-feeding port, 7-motor, 8-belt, 9-fruit basket, 10-stepper motor, 11-grading baffle, 12-collecting chute, 13-diverting baffle b, 14-conveyor belt, 15-conveyor belt frame. Detailed Implementation

[0025] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of the present utility model. Example

[0026] Before designing an automatic grading device for Wogan oranges, it is necessary to analyze the physical characteristics of Wogan oranges and obtain the required physical characteristic parameters. The grading device is then designed using these physical characteristic parameters as data references.

[0027] It is necessary to measure the size and weight of the Wogan oranges, and to conduct drop tests on the Wogan oranges to determine their safe drop height.

[0028] Measurement subject: 20 Wogan oranges randomly purchased from the Fusui Farmers Market in Guangxi.

[0029] Measuring tools: Vernier calipers, electronic scale.

[0030] Measurement method: The diameter of the fruit stalk, the transverse diameter and the longitudinal diameter of the fruit were measured using vernier calipers. At the same time, the weight of the fruit was measured using an electronic scale, and the measurement data were recorded.

[0031] Measure the transverse and longitudinal diameters of the Wogan oranges using vernier calipers, and then calculate the maximum transverse diameter, maximum longitudinal diameter, and average of the transverse and longitudinal diameters. Weigh the Wogan oranges using an electronic scale, and calculate the maximum mass, minimum mass, and average mass. Record the statistical results in Table 2-1.

[0032] Table 2-1 Statistical Analysis of Physical Data for Wogan Tangerines

[0033] Through measurement and statistical analysis of Wogan tangerines, the maximum transverse diameter of the fruit was determined to be 89.6 mm, the maximum longitudinal diameter to be 70.2 mm, and the maximum weight to be 191.3 g. These measurement data regarding the weight and dimensions of Wogan tangerines provided important reference for the overall structural design of the grading device.

[0034] During the grading process, Wogan oranges will inevitably fall: during the feeding process, Wogan oranges will fall from the feeding conveyor belt 3 onto the chute; during the grading process, Wogan oranges will fall from the conveyor belt 14 onto the collection chute 12, and from the collection chute 12 into the fruit basket 9. To prevent damage to Wogan oranges due to falling during the grading process, a Wogan orange drop experiment was conducted to determine the safe drop height for Wogan oranges.

[0035] Five Wogan oranges were randomly selected and raised to different heights, allowing them to fall freely. The height from which the oranges fell and broke upon impact was recorded. The measuring tool was a tape measure.

[0036] The height from which the Wogan oranges fell and broke when they hit the ground was measured using a measuring tape, and the extent of the damage was recorded in Table 2-2.

[0037] Table 2-2 Statistics on the Drop Results of Wogan Tangerines

[0038] Based on the test results, it can be concluded that the safe drop height of Wogan oranges should be less than 1.5m. In order to ensure the integrity of Wogan oranges in the grading process, the design of the automatic grading device for Wogan oranges should ensure that the drop height is much less than 1.5m when Wogan oranges fall.

[0039] Key data such as the appearance, dimensions, and weight of the Wogan oranges were obtained, and drop tests were conducted to determine their safe drop height. This provided an important data foundation for the subsequent design of the automatic Wogan orange grading device. This data will help ensure that the grading device can effectively avoid damaging the Wogan oranges during operation, and also provide a scientific basis for the structural design of the device and the selection of key components.

[0040] Fruit grading primarily considers factors such as fruit shape, surface defects, and maturity. Fruit shape is judged mainly by the fruit's diameter and overall shape. Surface defects refer to damage caused during growth or harvesting due to chemical reactions, mechanical damage, pests, or diseases. Maturity refers to the degree to which the fruit has reached an edible stage. Based on the detailed regulations for citrus fruit grading in the national standard NYT 1190-2006, this paper uses Wogan mandarins as the research object and references the Wogan mandarin quality standards provided by Huixian Fruit Supply Chain to establish a comprehensive grading standard for Wogan mandarins. Fruit grades are divided into premium, first-grade, and second-grade. Grading must be done on mature fruits. Before grading, fruits must be intact, without large wounds or healed areas, clean, free of disease spots or mold, and must not show signs of rot, spoilage, or off-odors. They should also be free of wilting and peel loosening; otherwise, they are considered spoiled fruit. Specific Wogan mandarin grading standards are shown in Table 3-1.

[0041]

[0042] The feeding device is the core structure of the grading function, and its scientific structure directly affects the stability and efficiency of the whole machine operation. The feeding device is equipped with a feed inlet 6 and a feeding conveyor belt 3. A diversion baffle a2 is installed on the feed inlet 6 to divert the flow, and a diversion baffle b13 is installed on the feeding conveyor belt 3 for conveying. A gap is left to provide space for the installation of the diversion baffle b13.

[0043] Feed inlet 6 is the inlet of the grading device. Wogan oranges enter the grading device through feed inlet 6, and its design rationality affects whether the grading operation can start normally. The design should be based on practical considerations. Figure 3 The feed inlet 6 shown is 0.5m above the ground. It can be connected to the conveyor belt or manually fed, increasing its practicality. According to Table 2-1, the maximum transverse diameter of the Wogan oranges used in the test is 89.6mm. To ensure that the Wogan oranges can pass smoothly through the diversion baffles a2, the spacing between the diversion baffles a2 is designed to be 100mm, and the tilt angle is 30°.

[0044] Analysis revealed that the conveying performance is mainly affected by three factors: the height of the diversion baffles b13, the spacing between the diversion baffles b13, and the inclination angle of the feeding conveyor belt 3. If the diversion baffles b13 are too high or the spacing is too large, multiple Wogan oranges may be conveyed simultaneously; conversely, if the diversion baffles b13 are too low or the spacing is too small, there may be gaps in the conveying process, resulting in empty fruit. In addition, if the inclination angle of the feeding conveyor belt 3 is too large, Wogan oranges are prone to slipping off, causing empty fruit; while if the inclination angle is too small, excess Wogan oranges may not be able to slip off smoothly, thus causing excessive fruit.

[0045] Analysis of the factors influencing the performance of the feeding device reveals that finding a high-performing combination of key parameters is crucial in the conveying process of Wogan oranges to ensure that the conveying effect meets the actual classification requirements. Therefore, simulation experiments will be conducted on the feeding device, using baffle height, baffle spacing, and conveyor belt inclination angle as the main influencing factors, to optimize its design.

[0046] The height of the diversion baffle b13, the spacing between the diversion baffles b13, and the tilt angle of the feeding conveyor belt 3 have a significant impact on the feeding effect. Therefore, the performance test of the feeding module was conducted based on the above three factors. The test materials were 15 Wogan oranges randomly selected from the Fusui Agricultural Trade Market in Guangxi. Each group underwent multiple repeated tests to avoid large test errors.

[0047] During the experiment, multiple fruits or empty fruits are considered abnormal phenomena, and the abnormality rate can be calculated using formula (3-3):

[0048] In the formula, a represents the number of times multiple fruits appear; b represents the number of times empty fruits appear; S represents the total number of tests; P1 represents the multiple fruit rate; P2 represents the empty fruit rate; and P represents the anomaly rate.

[0049] (1) The effect of conveyor belt inclination angle on the performance of the feeding device As the tilt angle increases, the tendency for Wogan oranges to slip off becomes more pronounced. However, if the tilt angle is too large, empty fruits may occur. Conversely, when the tilt angle is small, the Wogan oranges are less likely to fall off, leading to an excess of fruit. Different tilt angles have a significant impact on the conveying efficiency of Wogan oranges; therefore, finding a suitable tilt angle is one of the key measures to improve the performance of the feeding device.

[0050] This experiment selected seven different tilt angles for single-factor testing: 10°, 20°, 30°, 40°, 50°, 60°, and 70°. During the experiment, the height of the diversion baffle b13 was kept constant at 4 cm, and the spacing between the diversion baffles b13 was kept constant at 12 cm. Each experiment consisted of 15 Wogan oranges as a group, with four repeated experiments conducted. The average value was taken as the final experimental result, as shown in Table 3-2.

[0051] Table 3-2 Influence of tilt angle on performance indicators

[0052] Based on Table 3-2, a curve showing the influence of the inclination angle of the feeding conveyor belt on performance indicators was generated. Figure 8 ): Under controlled conditions, the percentage of excess fruit gradually decreases with increasing tilt angle, especially before the tilt angle reaches 40°, where the decrease is more significant. Conversely, the percentage of empty fruit gradually increases with increasing tilt angle, particularly after the tilt angle exceeds 50°, where the upward trend is more pronounced. The abnormality rate curve is concave overall, with the lowest and almost equal rates at tilt angles of 40° and 50°. Considering the trends of excess fruit, empty fruit, and abnormality rates, 45° is selected as the optimal tilt angle.

[0053] The diversion baffle b13 plays a crucial supporting role in the transportation of Wogan oranges, and its height significantly affects the transportation efficiency. If the diversion baffle b13 is too high, it may lead to excessive fruit loads; while if the diversion baffle b13 is too low, it may lead to empty fruit loads. Therefore, finding the appropriate height for the diversion baffle b13 is essential.

[0054] Single-factor experiments were conducted, selecting five different heights of the diversion baffles b13: 3cm, 4cm, 5cm, 6cm, and 7cm. During the experiments, the inclination angle of the feeding conveyor belt 3 was kept constant at 45°, and the baffle spacing remained at 12cm. Each experiment consisted of 15 Wogan oranges as a group, with four repeated experiments conducted. The average value was taken as the final result, and the experimental results are shown in Table 3-3.

[0055] Table 3-3 Influence of baffle height on performance indicators

[0056] Based on Table 3-3, plot the curve showing the effect of baffle height on performance indicators. Figure 9 As shown: With other design parameters remaining constant, the percentage of extra fruit gradually increases with increasing baffle height, while the percentage of empty fruit gradually decreases. The overall defect rate curve is concave, with the defect rate being lowest when the baffle height is 5cm. Therefore, 5cm is selected as the optimal baffle height to achieve the best balance in conveying performance.

[0057] The spacing between the baffles also affects the feeding process. Generally speaking, if the spacing is too large, there may be multiple fruits, while if the spacing is too small, there may be empty fruits. Therefore, it is very important to explore the appropriate baffle spacing.

[0058] Measurements showed that the transverse diameter of the Wogan oranges used in the experiment ranged from 5.9cm to 9.4cm. To ensure that each Wogan orange could be smoothly conveyed between the two baffles, the minimum spacing was 10cm. This paper conducted a single-factor experiment using five different baffle spacings, repeating the experiment four times and using the average value as the experimental result to avoid large experimental errors. The baffle spacings were 10cm, 12cm, 14cm, 16cm, and 18cm, with the conveyor belt tilt angle maintained at 45° and the baffle height at 12cm. The feeding device was tested with 15 Wogan oranges per group, and the experiment was repeated four times. The experimental results are shown in Tables 3-4 below.

[0059] Table 3-4 Influence of baffle spacing on performance indicators

[0060] Based on Table 3-4, plot the influence curve of the spacing of the diversion baffle b13 on the performance indicators as follows: Figure 9 As shown: With other design parameters remaining constant, the percentage of multiple fruits increases with the increase of the spacing between the diversion baffles b13, while the percentage of empty fruits decreases with the increase of the spacing between the diversion baffles b13. The overall abnormality rate curve is concave. When the height of the diversion baffles b13 is 12cm and 14cm, the minimum abnormality rate is almost equal. Therefore, 13cm is taken as the optimal distance between the diversion baffles b13.

[0061] For ease of manual observation, the feeding conveyor belt 3 is designed to be 1m long, which can both meet the needs of transmission and lifting of the tangerines. The feeding conveyor belt 3 is inclined at 45°. The diversion baffles b13 on the conveyor belt are 5cm high and the baffle spacing is 13cm. Diversion baffles are installed, and diversion slides 4 are installed at the end of the feeding conveyor belt 3. The design structure is as follows. Figure 1 , 4 As shown.

[0062] The identification area is the main functional area of ​​the automatic grading device for Wogan oranges. This area consists of the identification conveyor belt 14, the black box 5, and the grading baffle 11. Figure 2 As shown.

[0063] According to the grading standards of Wogan oranges in Table 3-1, three grading barriers are set in the identification area, corresponding to premium grade, grade one, and grade two, respectively; if there are bad fruits, they can be graded through the end of conveyor belt 14.

[0064] Black box 5 is one of the key structures in the automatic grading device for Wogan oranges, and the rationality of its structural design directly affects the quality of the acquired images. The structure of the black box is as follows: Figure 6As shown, the device is fixed above the conveyor belt 14 during use and mainly includes components such as a light shield, an identification camera 501, a camera mounting bracket 17, and a light source 502.

[0065] Placing the camera in a lens hood and providing a light source ensures image quality and prevents changes in external lighting from affecting camera recognition. To obtain more accurate data, two cameras are used to identify both the front and back of the Wogan orange. The camera mount is adjustable, allowing for adjustments to camera height, spacing, and angle to accommodate different situations.

[0066] To achieve the grading function, the design of the grading baffle 11 must meet the grading requirements. The grading function is achieved by driving the stepper motor 10 to rotate the grading baffle 11 and bring the Wogan oranges out of the conveyor belt 14. Its structure is shown in Figure 2.

[0067] According to Table 2-1, the maximum transverse diameter of the Wogan oranges used in the test is 89.6 mm. To ensure that the grading baffle 11 can smoothly carry the Wogan oranges off the conveyor belt 14, the length of the grading baffle 11 is set to 3 times the maximum transverse diameter, i.e., 280 mm. The width is slightly larger than the width of the conveyor belt plus the aluminum frame, and is designed to be 200 mm. The grading baffle 11 is designed with a hollowed-out shape to reduce the load on the stepper motor 10. The width of the hole is 20 mm, which is less than half of the minimum longitudinal diameter of the Wogan orange, 43.6 mm, so that the fruit will not get stuck.

[0068] Example The identification device (including black box 5 and dual identification cameras 501) first performs multi-index detection (color, defects) on the Wogan oranges transmitted to the identification area. The collected image data is compared with the preset "special grade / first grade / second grade / bad fruit" grading standard. Only after the control system determines the specific grade of the Wogan orange will the start command of the stepper motor 10 be triggered.

[0069] When the graded Wogan oranges are transported by the identification conveyor belt 14 to the "grading area" that matches their grade (the three grading baffles 11 on the conveyor belt frame 15 corresponding to "Special Grade, Grade 1, and Grade 2"), the control system immediately sends a start signal to the stepper motor 10 connected to the corresponding grading baffle 11, driving the stepper motor to rotate the grading baffle 11, and pushing the Wogan oranges from the conveyor belt into the corresponding collection slide 12 below, and finally into the dedicated fruit basket 9.

[0070] If the identification device determines that the Wogan orange is "bad fruit", it will not trigger any stepper motor corresponding to the grading baffle. The bad fruit will be transported to the end by the identification conveyor belt 14 and fall directly into the preset bad fruit basket without the need for the stepper motor to start.

[0071] The above description is only a specific embodiment of this utility model, but the protection scope of the utility model is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this utility model should be included within the protection scope of the utility model.

Claims

1. A grading device for Wogan oranges, characterized in that: include The feeding device is divided into several lines to transport Wogan oranges to the feeding conveyor belt (3), including the feeding hopper (1) and the diversion baffle a (2). The identification device acquires image information of Wogan oranges and is used to identify the quality of Wogan oranges. It includes a black box (5), in which an identification camera (501) and a light source (502) are installed. The grading device divides the Wogan oranges into different grades and sends them to the corresponding grading areas. It includes a grading baffle (11) and a stepper motor (10). The stepper motor (10) drives the grading baffle (11) to rotate and transport the Wogan oranges to the fruit basket (9).

2. The Wogan tangerine grading device according to claim 1, characterized in that: The feed hopper (1) is connected to the feeding conveyor belt (3), and the feed hopper (1) is inclined from top to bottom.

3. The Wogan citrus grading device according to claim 2, characterized in that: The feeding hopper (1) is provided with a feeding port (6), and the feeding port (6) is 50cm above the ground.

4. The grading device for Wogan oranges according to claim 1, characterized in that: The diversion baffle a (2) divides the feed hopper (1) into four lines. The height of the diversion baffle a (2) is 5 cm, the spacing is 10 cm, and the tilt angle is 30°.

5. The grading device for Wogan oranges according to claim 1, characterized in that: The feeding conveyor belt (3) has an inclination angle of 45°. Diversion baffles (13) are set on the feeding conveyor belt (3). The height of the diversion baffles (13) is 5cm and the spacing is 13cm.

6. The Wogan tangerine grading device according to claim 1, characterized in that: A diversion chute (4) is provided below the feeding conveyor belt (3), a conveyor belt (14) is provided below the diversion chute (4), a conveyor belt frame (15) is provided on both sides of the conveyor belt (14), and a black box (5) is provided on the conveyor belt frame (15).

7. The grading device for Wogan oranges according to claim 1, characterized in that: The light source (502) is located on the top of the black box (5) and shines downwards.

8. The grading device for Wogan oranges according to claim 1, characterized in that: The identification camera (501) is symmetrically positioned in the middle of the black box (5) via a camera mounting bracket (17), and the installation position of the identification camera (501) is higher than that of the conveyor belt (14).

9. The grading device for Wogan oranges according to claim 6, characterized in that: Three graded baffles (11) are provided on the conveyor frame (15), and the graded baffles (11) transport the Wogan oranges to the collection chute (12) below.

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