Equipment and method for judging maturity of fresh cigar leaves

Abstract

The embodiment of the invention discloses cigar fresh leaf maturity judging equipment and method.The cigar fresh leaf maturity judging equipment comprises a machine body, a lighting part, an image collecting module and a tobacco hanging frame, when the cigar fresh leaf maturity judging equipment is used, to-be-detected cigar fresh leaves are hung on the tobacco hanging frame of the equipment, it is ensured that the fresh leaves are placed in order, and images are conveniently and comprehensively collected; and then the equipment is started, and the lighting piece connected with the machine body and arranged in the length direction of the machine body is started, so that a uniform and stable lighting environment is provided for the fresh leaves, and the influence of non-uniform light on detection is eliminated. And then the image acquisition module starts to work, performs image acquisition on the hung fresh leaves from a proper angle and distance by adjusting the position of the image acquisition module, and comprehensively captures key visual information such as appearance, color distribution and the like of the fresh leaves. After the collection is completed, the device completes the determination of the maturity of the fresh leaves based on the obtained image information, and the whole process does not need complex operation, thereby achieving the ordered connection from the fresh leaf mounting to the image collection to the maturity determination.

Description

Technical Field

[0001] This application relates to the field of tobacco technology, and in particular to a device and method for determining the maturity of fresh cigar tobacco leaves. Background Technology

[0002] The maturity of fresh cigar leaves directly determines the final quality of the cigar. Leaves of suitable maturity, after processing, can form excellent aroma substances and stable combustion characteristics. Therefore, judging the maturity of fresh leaves is a core aspect of refined tobacco planting management. Currently, in the industry, judging the maturity of cigar leaves still mainly relies on manual experience. Growers judge the grade by observing the appearance characteristics of the leaves, such as leaf color, vein thickness, and leaf thickness, combined with tactile sensation. This method suffers from strong subjectivity, large differences in standards among different personnel, and is prone to misjudgment. Moreover, it is inefficient and cannot meet the needs of large-scale planting bases. Furthermore, relying solely on appearance and tactile sensation is a single dimension and makes it difficult to capture changes in the internal physiological indicators of fresh leaves. Summary of the Invention

[0003] The summary section introduces a series of simplified concepts, which will be further explained in detail in the detailed description section. This part of the invention is not intended to limit the key features and essential technical features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art or related art.

[0005] Therefore, a first aspect of the present invention provides a device for judging the maturity of fresh cigar tobacco leaves.

[0006] A second aspect of the present invention provides a method for determining the maturity of fresh cigar tobacco leaves.

[0007] In view of this, a device for determining the maturity of fresh cigar tobacco leaves is proposed according to a first aspect of the embodiments of this application, comprising: Organism; Lighting components are connected to the body and arranged along the length of the body; An image acquisition module, which is movably connected to the body; A tobacco hanging rack, connected to the machine body, is used to hang fresh leaves to be tested.

[0008] In one feasible implementation, the cigar tobacco leaf maturity determination device further includes: The display screen and controller are provided. The body is divided into a top area, a middle area and a bottom area along the height direction. The display screen is located in the top area, the controller is located in the bottom area, and the lighting components, the image acquisition module and the cigarette holder are located in the middle area.

[0009] In one feasible implementation, the cigar tobacco leaf maturity determination device further includes: The image acquisition module is connected to the machine body via a slide.

[0010] In one feasible implementation, the slide table includes: X-axis module, the X-axis module being arranged along the length direction of the body; The Y-axis module is slidably connected to the X-axis module, and the image acquisition module is slidably connected to the Y-axis module.

[0011] In one feasible implementation, the image acquisition module includes a FLIR camera.

[0012] In one feasible implementation, the illuminator is a light source with a wavelength of 550 nm to 650 nm.

[0013] In one feasible implementation, the cigarette holder includes: Support ears, which are located on both sides of the body; An extension member, one end of which is connected to the lug, and the other end extends away from the lug as a free end, and a hook is formed at the free end.

[0014] In one feasible implementation, the cigar tobacco leaf maturity determination device further includes: A leaf-hanging rod is mounted on the extension.

[0015] In one feasible implementation, the cigar tobacco leaf maturity determination device further includes: An indicator light is located on the top of the device and is used to illuminate when the image acquisition module acquires images.

[0016] In one feasible implementation, the cigar tobacco leaf maturity determination device further includes: A foot pedal control switch is communicatively connected to the image acquisition module and is used to control the image acquisition module to turn on or off.

[0017] According to a second aspect of the embodiments of this application, a method for judging the maturity of fresh cigar tobacco leaves is provided, characterized in that it is applied to the cigar tobacco leaf maturity judging device as described in any of the above technical solutions, and the method for judging the maturity of fresh cigar tobacco leaves includes: The fresh cigar tobacco leaves to be tested are hung on the tobacco rack; Activate the lighting unit to illuminate the fresh cigar tobacco leaves to be tested. Start the image acquisition module to acquire image information of the fresh cigar tobacco leaves to be detected; The maturity of the fresh cigar tobacco leaves to be detected is determined based on the image information.

[0018] In one feasible implementation, the step of determining the maturity of the cigar tobacco leaves to be detected based on the image information includes: Based on the imaging structure of the cigar tobacco leaves with known maturity, multiple training models are constructed using the cigar tobacco leaf maturity determination device. Based on the image information, maturity is determined using a subset of the multiple training models, while maturity is verified using another subset of the multiple training models.

[0019] In one feasible implementation, when the fresh cigar leaf to be detected is a single fresh leaf, the step of determining the maturity of the fresh cigar leaf to be detected based on the image information includes: Feature points are collected based on the image information, and maturity is determined based on the feature points.

[0020] In one feasible implementation, when the fresh cigar leaves to be detected are mature stalks, the step of determining the maturity of the fresh cigar leaves to be detected based on the image information includes: The image information is segmented to obtain multiple sub-image information; The maturity level is determined based on the information of each sub-image.

[0021] The cigar leaf maturity assessment device provided in this application includes a main body, an illumination component, an image acquisition module, and a cigar hanging rack. In use, the cigar leaves to be tested are first hung on the rack, ensuring neat arrangement for comprehensive image acquisition. The device is then activated, and the illumination component, connected to the main body and arranged along its length, turns on, providing a uniform and stable lighting environment to eliminate the influence of uneven lighting on the assessment. Next, the image acquisition module, movably connected to the main body, begins operation, adjusting its position to acquire images of the hung leaves from appropriate angles and distances, comprehensively capturing key visual information such as the leaves' appearance and color distribution. After acquisition, the device, based on the acquired image information and a preset analysis algorithm, determines the maturity of the leaves. The entire process requires no complex operation, achieving a seamless connection from leaf mounting to image acquisition to maturity assessment. Compared to existing technologies, this invention offers at least the following advantages: The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0022] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A schematic structural diagram of a cigar tobacco leaf maturity determination device according to an embodiment of this application; Figure 2 A schematic structural diagram of the hidden image acquisition module and lighting component of a cigar tobacco fresh leaf maturity determination device according to an embodiment of this application; Figure 3 This is a schematic flowchart illustrating the steps of a method for determining the maturity of fresh cigar tobacco leaves according to an embodiment of this application.

[0023] in, Figures 1 to 2 The correspondence between the reference numerals and component names in the attached drawings is as follows: 110 Body, 120 Lighting components, 130 Image acquisition module, 140 Smoke rack, 150 Display screen, 160 Slide table, 170 Indicator lights; 141 ears, 142 extension pieces. Detailed Implementation

[0024] The following description provides numerous specific details to offer a more thorough understanding of the technical solutions provided by this invention. However, it will be apparent to those skilled in the art that the technical solutions provided by this invention can be implemented without one or more of these details.

[0025] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or combinations thereof.

[0026] Exemplary embodiments according to the present invention will now be described in more detail with reference to the accompanying drawings. However, these exemplary embodiments may be implemented in many different forms and should not be construed as being limited to the embodiments set forth herein. It should be understood that these embodiments are provided so that the disclosure of the invention is thorough and complete, and that the concept of these exemplary embodiments is fully conveyed to those skilled in the art.

[0027] like Figure 1 and Figure 2 As shown, according to a first aspect of the embodiments of this application, a device for judging the maturity of fresh cigar leaves is proposed, comprising: a body 110; an illumination element 120 connected to the body 110 and arranged along the length of the body 110; an image acquisition module 130 movably connected to the body 110; and a cigar hanger 140 connected to the body 110 for hanging the fresh leaves to be tested.

[0028] The cigar leaf maturity assessment device provided in this embodiment includes a main body 110, an illumination element 120, an image acquisition module 130, and a cigar rack 140. In use, the cigar leaves to be tested are first hung on the rack 140 of the device, ensuring neat arrangement for comprehensive image acquisition. The device is then started, and the illumination element 120, connected to the main body 110 and arranged along its length, is activated, providing a uniform and stable lighting environment for the leaves and eliminating the influence of uneven lighting on the assessment. Next, the image acquisition module 130, movably connected to the main body 110, begins operation, adjusting its position to acquire images of the hung leaves from a suitable angle and distance, comprehensively capturing key visual information such as the leaves' appearance and color distribution. After acquisition, the device, based on the acquired image information and a preset analysis algorithm, determines the maturity of the leaves. The entire process requires no complex operation, achieving an orderly connection from leaf mounting to image acquisition to maturity assessment.

[0029] The embodiments of this application significantly improve the practicality and reliability of judging the maturity of fresh cigar leaves. The main body 110 serves as the core support, integrating the lighting element 120, image acquisition module 130, and cigar hanger 140, achieving integrated detection functionality without the need for additional auxiliary equipment, making it convenient to use. The lighting element 120, arranged along the length of the main body 110, ensures uniform illumination of the fresh leaves, providing a high-quality visual foundation for image acquisition and avoiding detection deviations caused by external light interference. The movable connection design of the image acquisition module 130 allows for flexible adjustment of the acquisition angle and distance, comprehensively capturing the characteristics of the fresh leaves and improving the completeness and accuracy of image information. The cigar hanger 140 provides a stable mounting method for the fresh leaves, ensuring their fixed position during detection and guaranteeing the consistency of the judgment results. The overall structure is simple and efficient, effectively reducing the intensity of manual operation, providing reliable data support for subsequent maturity analysis, and promoting the standardization and efficiency of fresh leaf maturity judgment.

[0030] like Figure 1 and Figure 2As shown, in one feasible embodiment, the cigar tobacco leaf maturity judgment device further includes: a display screen 150 and a controller. The body 110 is divided into a top area, a middle area and a bottom area along the height direction. The display screen 150 is located in the top area, the controller is located in the bottom area, and the lighting element 120, the image acquisition module 130 and the cigarette rack 140 are located in the middle area.

[0031] In this technical solution, the cigar leaf maturity assessment device may further include a display screen 150 and a controller. During use, the fresh leaves to be tested are first hung on the tobacco rack 140 in the central area. After the device is started, the central lighting element 120 illuminates to provide stable illumination. The image acquisition module 130 is adjusted via the slide table 160 to acquire images of the fresh leaves. The controller receives the image data, performs calculations and analysis, and determines the maturity. The display screen 150 in the top area simultaneously displays the acquired images and the final maturity assessment result. The entire process can be controlled via a foot pedal switch, eliminating the need for manual operation of the image acquisition module 130, thus achieving seamless detection from loading to result display.

[0032] In this technical solution, the equipment adopts a layered layout. The top display screen 150 allows operators to intuitively view images and results, the bottom controller ensures stable operation, and the core detection components are integrated in the middle. The compact and reasonable structure enhances operational convenience. The display screen 150 provides real-time feedback, facilitating timely confirmation of detection status. The controller accurately processes data, and combined with specialized algorithms and high-quality image acquisition, it significantly improves the accuracy and efficiency of maturity judgment, making it suitable for field and large-scale planting base scenarios and meeting the needs of refined management.

[0033] like Figure 1 and Figure 2 As shown, in one feasible implementation, the cigar leaf maturity assessment device further includes a slide table 160, through which the image acquisition module 130 is connected to the body 110. This configuration allows for flexible connection between the image acquisition module 130 and the body 110, enabling adjustments to the acquisition position and angle as needed. This ensures accurate capture of detailed features in different areas of the fresh leaf, improving the integrity and clarity of the image information. It is particularly suitable for different detection scenarios involving single leaves and mature stalks of fresh leaves. Combined with a FLIR camera, it provides high-quality data support for subsequent maturity assessment, effectively overcoming the limitations of fixed acquisition methods and further ensuring the accuracy and reliability of the assessment results.

[0034] like Figure 1 and Figure 2As shown, in one feasible implementation, the slide 160 includes: an X-axis module arranged along the length of the body 110; a Y-axis module slidably connected to the X-axis module; and an image acquisition module 130 slidably connected to the Y-axis module. With this configuration, the X-axis module, arranged along the length of the body 110, combined with the slidably connected Y-axis module, forms a bidirectional adjustable slide 160, allowing the image acquisition module 130 to move flexibly in two-dimensional space. This allows for precise adjustment of the shooting position and angle, adapting to different detection needs for single leaves and mature leaves, and comprehensively capturing the feature details of each area of ​​the leaf. Combined with a FLIR camera, this significantly improves the integrity and clarity of image acquisition, providing high-quality data support for subsequent maturity determination, effectively avoiding the limitations of fixed acquisition angles, and further ensuring the accuracy and reliability of judgment results in different scenarios.

[0035] In one feasible implementation, the image acquisition module 130 includes a FLIR camera. This configuration, using a FLIR camera, provides high-definition imaging capabilities, enabling precise capture of subtle features such as color distribution, vein morphology, and leaf texture in fresh cigar leaves, providing high-quality image data support for maturity determination. Its excellent image quality clearly presents visual information related to the internal physiological indicators of the fresh leaves, and, combined with the 550-650nm wavelength illumination element 120, effectively avoids interference from ambient light. Whether extracting feature points from a single fresh leaf or performing image segmentation analysis on mature leaves, data accuracy is guaranteed, significantly improving the precision and reliability of maturity determination and laying a solid foundation for subsequent multi-model computation and verification.

[0036] In one feasible implementation, the illuminator 120 is a light source with a wavelength of 550nm to 650nm. This configuration allows the illuminator 120 within this wavelength range to precisely match the optical characteristics of fresh cigar leaves, providing uniform and stable illumination and clearly revealing key features such as leaf color, veins, and leaf texture. It effectively avoids interference from natural light fluctuations, ensures consistency in image acquisition under different environments, provides a high-quality data foundation for subsequent feature extraction and model analysis, significantly improves the accuracy and stability of maturity assessment, and adapts to complex field testing scenarios.

[0037] like Figure 1 and Figure 2 As shown, in one feasible embodiment, the cigarette holder 140 includes: a support ear 141, which is disposed on both sides of the body 110; and an extension 142, one end of which is connected to the support ear 141, and the other end extends away from the support ear 141 and is a free end, at which a hook is formed.

[0038] In this technical solution, the cigar rack 140 may include lugs 141 and extensions 142. In use, fresh cigar leaves (single leaves or whole stalks) to be inspected are hung on the free end of the extension 142 via hooks, or whole stalks of fresh leaves are hung in batches after the leaf-hanging stalks are fixed with hooks. The lugs 141 provide stable support for the extensions 142, ensuring that the fresh leaves are neatly positioned after hanging, without obstructing key inspection areas, creating stable conditions for subsequent lighting and image acquisition, and ensuring a smooth inspection process. The cigar rack 140 adopts a structural design with lugs 141 on both sides, extensions 142, and hooks, achieving both stability and convenience in hanging fresh leaves. The lugs 141 are symmetrically arranged on both sides of the machine body 110, improving overall support strength and preventing swaying or shifting after hanging fresh leaves. The extensions 142 extend outwards to expand the hanging space, accommodating different quantities and specifications of fresh leaves, while the hook design facilitates quick loading and unloading, ensuring accurate positioning of both single leaves and whole stalks of fresh leaves. This structure ensures uniform posture during fresh leaf testing, guarantees consistent image acquisition, lays the foundation for accurate maturity assessment, and is also suitable for batch testing in the field, improving operational efficiency.

[0039] In one feasible implementation, the cigar leaf maturity assessment device further includes a leaf-hanging rod, which rests on the extension 142. This configuration, with the leaf-hanging rod resting on the extension 142, is specifically designed for hanging single fresh leaves, expanding the adaptability of the cigarette rack 140. It provides a neat and stable mounting carrier, allowing single fresh leaves to be placed in an orderly manner, avoiding overlap or misalignment, and ensuring complete representation of leaf features during image acquisition. Simultaneously, it simplifies the loading and unloading of single fresh leaves, improves detection efficiency, and, in conjunction with the device's lighting and acquisition modules, further ensures the accuracy and consistency of single-leaf maturity assessment.

[0040] In one feasible implementation, the cigar tobacco leaf maturity assessment device further includes an indicator light 170, which is located on the top of the machine body 110. The indicator light 170 is used to illuminate when the image acquisition module 130 acquires images. This configuration ensures that the indicator light 170 on the top of the machine body 110 illuminates synchronously when the image acquisition module 130 is operating, providing operators with clear feedback on the acquisition status and facilitating precise control of the testing pace. Its intuitive indication function avoids missed or repeated acquisitions due to misoperation, ensuring the orderly progress of the testing process. Simultaneously, the top-mounted installation method ensures a wide field of view for the indicator light 170, adapting to complex scenarios such as fields, further improving the ease of operation and testing efficiency of the equipment.

[0041] In some examples, indicator light 170 can be a four-color alarm light (red / yellow / green / blue) or indicator light 170 can be a three-color alarm light (red / yellow / green) (the number of colors and the type of light must be matched).

[0042] In one feasible implementation, the cigar leaf maturity assessment device further includes a foot pedal control switch, which is communicatively connected to the image acquisition module 130 and used to control the image acquisition module 130 to turn on or off. This configuration allows the foot pedal control switch to be communicatively connected to the image acquisition module 130, enabling foot-controlled start and stop of the acquisition function. Operators can focus their hands on securing the fresh leaves, avoiding leaf displacement or delays in acquisition timing caused by manual operation. This convenient control method is suitable for batch testing scenarios in the field, simplifying the operation process, improving testing efficiency, and reducing human interference in the acquisition process. It also ensures the stability and consistency of image acquisition, laying the foundation for accurate maturity assessment.

[0043] In some examples, the bottom of the cigar tobacco leaf maturity assessment device may also include a formaldehyde wheel. The cigar tobacco leaf maturity assessment device provided in this application embodiment has at least the following beneficial effects when assessing the maturity of cigar tobacco leaves: Environmental adaptability: accuracy rate of 92.8% on sunny days, 94.1% on cloudy days, and 93.7% on partly cloudy days; Judgment consistency: the device judgment consistency reaches 95.8%, which is significantly better than manual judgment (76.3%).

[0044] In some examples, the model number of the foot control switch can be 30 button_QG115-B5-10E / B.

[0045] like Figure 3 As shown, according to a second aspect of the embodiments of this application, a method for judging the maturity of fresh cigar tobacco leaves is proposed, characterized in that it is applied to a cigar tobacco leaf maturity judging device as described in any of the above technical solutions, and the method for judging the maturity of fresh cigar tobacco leaves includes: Step 201: Hang the fresh cigar tobacco leaves to be tested on the tobacco rack; Step 202: Activate the illumination device to illuminate the fresh cigar leaves to be tested; Step 203: Start the image acquisition module to acquire image information of the fresh cigar tobacco leaves to be detected; Step 204: Determine the maturity of the fresh cigar tobacco leaves to be detected based on image information.

[0046] The method for determining the maturity of fresh cigar leaves provided in this application is applied to the cigar leaf maturity determination device of any of the above-mentioned technical solutions. Therefore, the method for determining the maturity of fresh cigar leaves has all the beneficial effects of the cigar leaf maturity determination device of the above-mentioned technical solutions, and will not be elaborated here.

[0047] The cigar leaf maturity assessment method and equipment provided in this application are adapted to achieve high efficiency, accuracy, and standardization in fresh leaf maturity assessment through a standardized process. First, the fresh leaf hanging steps are clearly defined. The stable support of the cigarette rack ensures a uniform posture of the tested objects, laying the foundation for subsequent testing. In the lighting stage, a 550-650nm wavelength light source provides uniform and stable illumination, effectively avoiding ambient light interference and ensuring consistent image acquisition across different scenarios. Image acquisition relies on the flexible adjustment of a FLIR camera and a two-dimensional sliding stage to comprehensively capture key features such as leaf color, veins, and texture, obtaining high-quality image data. In the core maturity assessment stage, leveraging the multi-module collaborative advantages of the equipment, professional algorithms are used to deeply mine image information and accurately identify the maturity status of the fresh leaves. This method completely eliminates the subjectivity and singularity of manual judgment, significantly improving judgment efficiency. The operation can be completed by a single person, which is significantly more efficient than the traditional manual assistance mode. At the same time, it ensures the consistency and accuracy of the judgment results, adapts to the testing needs of single leaves and whole stalks, and can stably output reliable results whether it is field testing or large-scale batch screening in bases. It provides a scientific basis for the precise harvesting and refined planting management of cigar tobacco leaves, and helps to improve the final quality of cigars.

[0048] It is understandable that when the image acquisition module is activated to acquire image information, the distance between the image acquisition module and the fresh leaf is 30 cm to 50 cm.

[0049] In one feasible implementation, the step of determining the maturity of the cigar tobacco leaves to be detected based on image information includes: constructing multiple training models based on the imaging structure of the cigar tobacco leaves with known maturity on the cigar tobacco leaf maturity determination device; determining the maturity based on a portion of the multiple training models based on image information, and verifying the maturity based on another portion of the multiple training models.

[0050] This technical solution further provides a step for determining the maturity of fresh cigar leaves to be detected based on image information, which can significantly improve the accuracy and reliability of cigar leaf maturity judgment. Multiple training models are constructed based on the imaging structure of leaves with known maturity, allowing the models to deeply adapt to the imaging characteristics of the equipment and fully conform to the correlation between the appearance and physiological characteristics of fresh cigar leaves, providing a solid algorithmic foundation for judgment. A partial model judgment and partial model verification mode is adopted, forming a closed loop of mutual verification, effectively avoiding the limitations and errors of a single model and reducing the risk of misjudgment. This two-stage collaborative mechanism not only leverages the comprehensive analytical advantages of multi-model integration but also ensures the rigor of results through cross-validation, adapting to different detection scenarios for single leaves and mature stalks. Compared with traditional manual judgment and single-model judgment, this method significantly improves the consistency and stability of judgment results, providing scientific and reliable technical support for precise harvesting of fresh cigar leaves and refined management of large-scale planting, further broadening the applicability and practical value of the equipment.

[0051] In some examples, MSVM training models using 4-fold cross-validation can include: Data partitioning: The training set is divided into 4 Folds, which are used alternately as the validation set (1 Fold) and the training set (3 Folds). Model training: In each round, the model is trained using 3 Folds and validated using 1 Fold, generating prediction results; Integrated optimization: Combine the results of four rounds (voting / weighted average) and combine them with expert scoring data (human scoring of the maturity grade / proportion of mature tobacco leaves) to optimize the model; Feature extraction: Single leaf: Extract the color of the midrib (yellow-white index) + leaf morphological characteristics; Rod formation: Extract the distribution features of rods after image segmentation.

[0052] The data storage and display output module may include: Storage: Stores image data, expert scores, model parameters, and prediction results.

[0053] Display: Real-time display of single-piece / stalk maturity results, supporting data export in Excel format.

[0054] Based on this, the method for determining the maturity of fresh cigar tobacco leaves provided in this application has at least the following beneficial effects: High precision: Single-chip recognition accuracy of 95.16%, rod grade accuracy of 98.31%, and proportional error of 5.22%; High efficiency and automation: Batch processing of tobacco leaves into stalks (e.g., 480 stalks / batch), replacing manual labor and saving costs; High consistency: Eliminates subjective differences and ensures uniformity in hierarchical classification; Integrating expert experience: Combining human scoring to optimize the model, balancing algorithm efficiency with industry knowledge; Integrated: Supports single-piece / rod testing, with results displayed intuitively.

[0055] Operational efficiency: Single-person operation is 50% more efficient than traditional manual operation (two people working together); Environmental stability: The lighting system cancels out external interference, and the accuracy rate remains stable at over 92% under different weather conditions.

[0056] In one feasible implementation, when the cigar leaf to be tested is a single leaf, the step of determining the maturity of the cigar leaf based on image information includes: collecting feature points based on image information, and determining maturity based on feature points. This setup, for a single leaf, determines maturity by collecting image feature points, accurately focusing on core indicators such as the midrib color (yellow-white index) and leaf morphology, meeting the detection requirements for single leaves. Feature point extraction can accurately capture key physiological and appearance information of the leaf, and combined with a suitable training model, significantly improves the accuracy of judgment, achieving a single leaf recognition accuracy of 95.16%, effectively avoiding the subjective bias of manual judgment and ensuring the consistency and reliability of results.

[0057] In one feasible implementation, when the cigar leaves to be tested are mature stalk leaves, the step of determining the maturity of the cigar leaves based on image information includes: segmenting the image information to obtain multiple sub-image information; and determining the maturity based on each sub-image information. This setup, for mature stalk leaves, obtains multiple sub-image information through image segmentation and then determines the maturity of each sub-image individually, accurately meeting the batch detection needs of mature stalk leaves. Segmentation processing can effectively separate different leaves within a single stalk, avoiding feature omissions caused by overlapping and occlusion of leaves, ensuring that the key information of each leaf is fully captured. The algorithm can be optimized by combining a suitable training model with expert scoring data, achieving a stalk-grade accuracy rate of 98.31% and a proportional error of only 5.22%. This method not only ensures the accuracy of single-leaf determination but also integrates the maturity distribution and overall grade of the entire stalk of leaves, significantly improving the efficiency and reliability of mature stalk leaf detection, and is suitable for batch detection scenarios in large-scale planting bases.

[0058] In summary, the cigar tobacco leaf maturity determination device and method provided in this application are as follows: It can overcome the problems of strong subjectivity, low efficiency and single dimension of manual judgment, and realize rapid, accurate and quantitative judgment of the maturity of fresh leaves; It can solve the problems of existing equipment being large, complex to operate, and unsuitable for field use, and provide miniaturized and portable testing equipment; It can overcome the shortcomings of existing tools that rely on single-index detection, and achieve multi-dimensional comprehensive detection of fresh leaf appearance and physical parameters; It can store, query, and export test data, helping to achieve refined planting management.

[0059] In this invention, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "link" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0060] In the description of this invention, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0061] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0062] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A device for judging the maturity of fresh cigar tobacco leaves, characterized in that, include: Organism; Lighting components are connected to the body and arranged along the length of the body; An image acquisition module, which is movably connected to the body; A tobacco hanging rack, connected to the machine body, is used to hang fresh leaves to be tested.

2. The cigar tobacco leaf maturity determination device according to claim 1, characterized in that, Also includes: The display screen and controller are provided. The body is divided into a top area, a middle area and a bottom area along the height direction. The display screen is located in the top area, the controller is located in the bottom area, and the lighting components, the image acquisition module and the cigarette holder are located in the middle area.

3. The cigar tobacco leaf maturity determination device according to claim 1, characterized in that, Also includes: The image acquisition module is connected to the machine body via the slide table. The slide table includes: X-axis module, the X-axis module being arranged along the length direction of the body; The Y-axis module is slidably connected to the X-axis module, and the image acquisition module is slidably connected to the Y-axis module.

4. The cigar tobacco leaf maturity judging device according to any one of claims 1 to 3, characterized in that, The image acquisition module includes a FLIR camera; The illumination element is a light source with a wavelength of 550 nm to 650 nm.

5. The cigar tobacco leaf maturity judging device according to any one of claims 1 to 4, characterized in that, The cigarette holder includes: Support ears, which are located on both sides of the body; An extension member, one end of which is connected to the lug, and the other end extends away from the lug and is a free end, wherein a hook is formed at the free end; A leaf-hanging rod is mounted on the extension.

6. The cigar tobacco leaf maturity judging device according to any one of claims 1 to 4, characterized in that, Also includes: An indicator light is located on the top of the device and is used to illuminate when the image acquisition module acquires an image. A foot pedal control switch is communicatively connected to the image acquisition module and is used to control the image acquisition module to turn on or off.

7. A method for determining the maturity of fresh cigar tobacco leaves, characterized in that, The cigar tobacco leaf maturity determination device as described in any one of claims 1 to 6, wherein the cigar tobacco leaf maturity determination method comprises: The fresh cigar tobacco leaves to be tested are hung on the tobacco rack; Activate the lighting unit to illuminate the fresh cigar tobacco leaves to be tested. Start the image acquisition module to acquire image information of the fresh cigar tobacco leaves to be detected; The maturity of the fresh cigar tobacco leaves to be detected is determined based on the image information.

8. The method for judging the maturity of fresh cigar tobacco leaves according to claim 7, characterized in that, The step of determining the maturity of the fresh cigar tobacco leaves to be detected based on the image information includes: Based on the imaging structure of the cigar tobacco leaves with known maturity, multiple training models are constructed using the cigar tobacco leaf maturity determination device. Based on the image information, maturity is determined using a subset of the multiple training models, while maturity is verified using another subset of the multiple training models.

9. The method for judging the maturity of fresh cigar tobacco leaves according to claim 18, characterized in that, When the fresh cigar leaf to be tested is a single fresh leaf, the step of determining the maturity of the fresh cigar leaf to be tested based on the image information includes: Feature points are collected based on the image information, and maturity is determined based on the feature points.

10. The method for judging the maturity of fresh cigar tobacco leaves according to claim 9, characterized in that, When the fresh cigar leaves to be tested are mature stalks, the step of determining the maturity of the fresh cigar leaves to be tested based on the image information includes: The image information is segmented to obtain multiple sub-image information; The maturity level is determined based on the information of each sub-image.

Images