Plant quality evaluation apparatus and evaluation method therefor

Abstract

Provided in the present invention are a plant quality evaluation apparatus and an evaluation method therefor. The apparatus comprises a plant delivery unit, a plant test unit, a plant evaluation unit and a label identification unit, wherein the plant delivery unit is used for delivering a plant to be tested; the plant test unit is used for acquiring test data of said plant; the plant evaluation unit is used for performing quality evaluation on said plant on the basis of the test data acquired by the plant test unit; and the label identification unit is used for identifying a quick-response code label arranged on said plant, so as to acquire a plant identifier corresponding to said plant, and storing a quality evaluation result in a database corresponding to the plant identifier. By means of the apparatus, a rapid test and evaluation for plant traits can be realized, such that the test efficiency is improved, thereby greatly reducing the operation cost and labor cost of a nursery base, and providing a basis for the product-centric operation of the nursery base.

Description

Plant quality evaluation device and evaluation method Technical Field

[0001] The present invention relates to the technical field of plant breeding, and in particular to a plant quality evaluation device and an evaluation method thereof. Background Art

[0002] Comprehensively assessing plant health and growth not only improves agricultural and horticultural output but also promotes scientific research and plant breeding. However, nurseries currently still rely on traditional methods for plant assessment, such as manual measurement or photographing followed by manual analysis. This lack of equipment and tools tailored to specific evaluation criteria results in a time-consuming and labor-intensive process.

[0003] Therefore, the problems existing in the prior art need to be solved urgently.

[0004] Summary of the Invention

[0005] The present invention provides a plant quality evaluation device and an evaluation method thereof, which are used to solve the defects of high labor cost and low detection efficiency in the prior art.

[0006] The present invention provides a plant quality evaluation device, comprising:

[0007] The device includes: a plant transport unit, a plant detection unit, a plant evaluation unit and a label identification unit;

[0008] The plant transport unit is used to transport the plants to be tested;

[0009] The plant detection unit is used to obtain detection data of the plant to be detected;

[0010] The plant evaluation unit is used to evaluate the quality of the plant to be detected based on the detection data obtained by the plant detection unit;

[0011] The label recognition unit is used to identify the QR code label set on the plant to be detected to obtain the plant identification corresponding to the plant to be detected, and save the quality evaluation result in the database corresponding to the plant identification.

[0012] According to the plant quality evaluation device provided by the present invention, the plant quality evaluation device further includes a plant classification unit;

[0013] The plant classification unit is used to classify the plants to be tested according to the quality evaluation results.

[0014] According to the plant quality evaluation device provided by the present invention, the plant transport unit includes a front-end connection module and a conveyor belt module;

[0015] The front-end connection module is used to connect to the nursery production line track to transfer the plants to be inspected to the conveyor belt module;

[0016] The conveyor belt module is used to transport the plants to be detected to the plant detection unit, and is also used to transport the plants to be detected to a warehouse corresponding to the classification results of the plant classification unit.

[0017] According to the plant quality evaluation device provided by the present invention, the front-end connection module is provided with a buckle, and the buckle is used to fix the plant to be tested.

[0018] According to the plant quality evaluation device provided by the present invention, the plant detection unit includes: a housing, a base, a wide-angle spectrum camera, a sensor module and a three-dimensional scanner;

[0019] The wide-angle spectrum camera is arranged at the top center of the inner side of the housing and is used to obtain image data of the plant to be detected;

[0020] The sensor module is arranged at the center of the base and is used to obtain temperature and humidity detection data and weight data of the plant to be detected;

[0021] The three-dimensional scanner is arranged on the slideway on the inner side of the shell, and is used to obtain plant height detection data and crown width detection data of the plant to be detected.

[0022] According to the plant quality evaluation device provided by the present invention, the plant detection unit further includes a retractable bracket;

[0023] The retractable bracket is used to adjust the height of the plant detection unit, and the retractable bracket is connected to the base by mortise and tenon joints.

[0024] According to the plant quality evaluation device provided by the present invention, the plant detection unit further includes a light strip and a spotlight;

[0025] The light strip is arranged on the top of the inner side of the housing;

[0026] The spotlights are arranged at the four corners of the inner side of the base.

[0027] According to the plant quality evaluation device provided by the present invention, parallel tracks are provided on the surface of the base, and the parallel tracks are used to be connected to the assembly line.

[0028] According to the plant quality evaluation device provided by the present invention, the plant evaluation unit includes a display module, and the display module is used to display the working status of the plant quality evaluation device, the detection data of the plant to be detected, and the quality evaluation result.

[0029] In a second aspect, a plant quality evaluation method provided by the present invention is applied to the function or operation of the plant quality evaluation device described in the first aspect, comprising:

[0030] Transporting the plants to be tested through the plant transport unit;

[0031] Acquiring detection data of the plant to be detected through a plant detection unit;

[0032] Performing a quality evaluation on the plant to be tested based on the test data acquired by the plant testing unit by means of a plant evaluation unit;

[0033] The label recognition unit is used to identify the QR code label set on the plant to be detected to obtain the plant identification corresponding to the plant to be detected, and the quality evaluation result is stored in the database corresponding to the plant identification.

[0034] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the plant quality evaluation method described above is implemented.

[0035] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described plant quality evaluation methods.

[0036] The plant quality evaluation device provided by the present invention includes: a plant transportation unit, a plant detection unit, a plant evaluation unit, and a label identification unit; the plant transportation unit is used to transport the plants to be detected; the plant detection unit is used to obtain detection data of the plants to be detected; the plant evaluation unit is used to perform quality evaluation on the plants to be detected based on the detection data obtained by the plant detection unit; the label identification unit is used to identify the QR code label set on the plants to be detected to obtain the plant identification corresponding to the plants to be detected, and save the quality evaluation results in the database corresponding to the plant identification. This device can realize rapid detection and evaluation of plant traits, improve detection efficiency, greatly reduce the operating costs and labor costs of the nursery base, and provide a basis for the productized operation of the nursery base. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] FIG1 is a schematic structural diagram of a plant quality evaluation device provided by the present invention;

[0039] FIG2 is a schematic structural diagram of a plant detection unit provided by the present invention;

[0040] FIG3 is a schematic diagram of the process of the plant quality evaluation method provided by the present invention;

[0041] FIG4 is a schematic structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the accompanying drawings in this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0043] In the description of this application, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate the description of this application and simplify the description. They do not indicate or imply that the devices or components referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limitations on this application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0044] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0045] In order to solve the defects of high labor cost and low detection efficiency in the prior art, the present invention provides a plant quality evaluation device. Referring to Figure 1, the plant quality evaluation device includes: a plant transportation unit 110, a plant detection unit 120, a plant evaluation unit 130 and a label recognition unit 140:

[0046] The plant transport unit 110 is used to transport the plants to be inspected.

[0047] It should be noted that before testing the plants, they must be transferred from the production line at the nursery to the plant quality evaluation device. Specifically, the plant transport unit 110 includes a front-end connection module and a conveyor belt module. The front-end connection module transfers the plants to the conveyor belt module, which then transports them to a location such as the plant testing unit for appropriate operations.

[0048] The plant detection unit 120 is used to obtain detection data of the plant to be detected.

[0049] It should be noted that the detection data of the plants to be detected acquired by the plant detection unit 120 includes flower color detection data, leaf detection data, and plant detection data. Flower color detection data includes flower color detection data, bud detection data, and flower shape detection data; leaf detection data includes tiller number detection data, leaf shape detection data, and leaf cover detection data; and plant detection data includes plant height detection data, crown width detection data, and effective ramet number detection data.

[0050] Specifically, for flower color detection data, the color of the flower can be described by extracting statistical features such as color histogram, color mean, and color variance; flower bud detection data involves features such as the number, size, and shape of flower buds; and flower shape detection data can extract the shape features of the flower through shape descriptors, contour analysis, and other means.

[0051] For tiller number detection data, the number of tillers can be directly used as a feature, or statistical information such as the density of tillers can be calculated; leaf shape detection data involves features such as leaf outline, area, aspect ratio, etc.; leaf coverage detection data can reflect the coverage ratio of plant leaves in the overall area.

[0052] For plant height detection data, plant height can be used directly as a feature, or relevant statistical features such as plant growth rate can be calculated; crown width detection data can provide information about the width and shape of the plant crown, which can be used to evaluate the overall growth of the plant; effective ramet number detection data can reflect the reproduction and branching of the plant, and is an important indicator of plant structure.

[0053] The plant evaluation unit 130 is used to evaluate the quality of the plants to be detected based on the detection data obtained by the plant detection unit.

[0054] The plant evaluation unit 130 inputs the detection data of the plant to be detected into a pre-built plant quality evaluation model to obtain a plant quality result. The plant quality evaluation model is used to evaluate the quality of the plant to be detected based on the detection data of the plant to be detected.

[0055] It should be noted that the plant evaluation unit 130 is provided with a pre-built quality evaluation model, which is constructed by the following method:

[0056] The quality detection judgment matrix is ​​determined by taking the flower color detection data, leaf detection data and plant detection data as influencing factors. Then, the target influencing factor weight is determined based on the quality detection judgment matrix. Then, the plant quality evaluation model is determined based on the flower color detection data, leaf detection data, plant detection data and the target influencing factor weight. Specifically, H plant quality is used as the target layer, H1, H2, H3 are used as the first-level influencing factors, and H 11 ,H 12 ,H 13， H 21 ,H 22 ,H 23 ,H 31 ,H 32 ,H 33 As the second-level impact factor, each element in H, H1, H2, H3 is compared with each other to obtain the judgment matrix A, A1, A2 and A3; the weights of each second-level impact factor θ, θ1, θ2, θ3 are calculated using the matrix A, A1, A2 and A3 using the hierarchical single row method; the weights of each subordinate first-level impact factor δ, δ1, δ2, δ3 are calculated using the second-level impact factor, where δ i =Σθ i ×Gii. Therefore, the target impact factor weight is Score=Σθ i ×δ i ×100.

[0057] Here, the quality evaluation model can be trained using a labeled training dataset, which can then be input into the initialized quality evaluation model for training. Specifically, after inputting the data from the training dataset into the initialized quality evaluation model, the model outputs evaluation results, i.e., plant quality results. The accuracy of the recognition model's predictions can be evaluated based on the human quality evaluation results and the aforementioned labels, thereby updating the model's parameters.

[0058] For quality evaluation models, the accuracy of the model's predictions can be measured using a loss function. This function is defined on a single piece of training data and is used to measure the prediction error for that piece of training data. Specifically, the loss value for that piece of training data is determined by combining its label and the model's prediction for that piece of training data. During actual training, a training dataset often contains a lot of data, so a cost function is generally used to measure the overall error of the training dataset. This cost function is defined on the entire training dataset and is used to calculate the average prediction error for all training data, which can better measure the model's prediction effectiveness.

[0059] For general machine learning models, the cost function mentioned above, plus a regularization term that measures the complexity of the model, can be used as the objective function of training, and the loss value of the entire training data set can be calculated based on the objective function. There are many types of commonly used loss functions, such as 0-1 loss function, square loss function, absolute loss function, logarithmic loss function, cross entropy loss function, etc., which can all be used as loss functions of machine learning models, which will not be elaborated one by one here. In the embodiment of the present application, any one of the loss functions can be selected to determine the loss value of training. Based on the loss value of training, the back propagation algorithm is used to update the parameters of the model, and a trained quality evaluation model can be obtained by iterating several rounds. Specifically, the number of iterations can be set in advance, or the training is considered to be completed when the test set meets the accuracy requirements.

[0060] The label recognition unit 140 is used to recognize the QR code label set on the plant to be detected to obtain the plant identification corresponding to the plant to be detected, and save the quality evaluation result in a database corresponding to the plant identification.

[0061] It should be noted that each potted plant containing the plant to be tested is provided with a QR code, which stores the potted plant number of the plant to be tested. The label identification unit 140 can accurately identify the potted plant number of the plant to be tested, so that the quality evaluation results can be subsequently stored in the corresponding database.

[0062] The plant quality evaluation device provided by the present invention includes: a plant transport unit 110, a plant detection unit 120, a plant evaluation unit 130 and a label identification unit 140; the plant transport unit 110 is used to transport plants to be detected; the plant detection unit 120 is used to obtain detection data of the plants to be detected; the plant evaluation unit 130 is used to evaluate the quality of the plants to be detected based on the detection data obtained by the plant detection unit 120; the label identification unit 140 is used to identify the QR code label set on the plant to be detected to obtain the plant identification corresponding to the plant to be detected, and save the quality evaluation result in the database corresponding to the plant identification. This device can realize rapid detection and evaluation of plant traits, improve detection efficiency, greatly reduce the operating cost and labor cost of the nursery base, and provide a basis for the product operation of the nursery base.

[0063] As a further optional embodiment, the plant quality evaluation device further includes a plant classification unit;

[0064] The plant classification unit is used to classify the plants to be tested according to the quality evaluation results.

[0065] It is understood that the plant evaluation unit 130 will perform a quality evaluation on the plants to be tested based on the test data obtained by the plant detection unit 120, thereby obtaining a quality evaluation score. The plants are then classified based on the quality evaluation score. For example, a quality evaluation score greater than 90 points is considered superior, a quality evaluation score greater than 60 points is considered acceptable, and a quality evaluation score below 60 points is considered unacceptable. Furthermore, unacceptable plants may be additionally evaluated for indicators that seriously fail to meet the standards.

[0066] As a further optional embodiment, the plant transport unit 110 includes a front connection module and a conveyor belt module;

[0067] A front-end connection module is used to connect to the nursery production line track to transfer the plants to be inspected to the conveyor belt module;

[0068] The conveyor belt module is used to transport the plants to be inspected to the plant inspection unit, and is also used to transport the plants to be inspected to a warehouse corresponding to the classification results of the plant classification unit.

[0069] As a further optional embodiment, the front connection module is provided with a buckle, which is used to fix the plant to be detected.

[0070] In order to allow the plants to be tested to move efficiently in the plant quality evaluation device, the plant transport unit is equipped with a front-end connection module and a conveyor belt module. Among them, the function of the front-end connection module is to connect the nursery production line track, so as to transfer the plants to be tested to the conveyor belt module. Then, the conveyor belt module carries the plants to be tested to move efficiently in the plant quality evaluation device. Specifically, the conveyor belt consists of 5 tracks, which are distributed in a "cross" shape. Track 1 realizes the transfer of potted plants from the nursery base assembly line to the conveyor belt, Track 2 transfers the potted plants to the base inside the plant inspection unit, and Track 3 transports "superior products" to the superior product warehouse; Track 4 is at right angles to Track 3, and transports "qualified products" to the qualified product warehouse for storage; "unqualified products" return to the original base assembly line track via Track 5.

[0071] As a further optional embodiment, the plant detection unit 120 includes: a housing, a base, a wide-angle spectrum camera, a sensor module, and a three-dimensional scanner;

[0072] A wide-angle spectral camera is provided at the top center of the inner side of the housing and is used to obtain image data of the plant to be inspected;

[0073] The sensor module is arranged at the center of the base and is used to obtain temperature and humidity detection data and weight data of the plant to be detected;

[0074] The three-dimensional scanner is arranged on a slide on the inner side of the shell and is used to obtain plant height detection data and crown width detection data of the plants to be detected.

[0075] Referring to Figure 2, the wide-angle spectrum camera and the light strip 210 are arranged at the top center of the inner side of the shell. The wide-angle spectrum camera is used to obtain image data of the plant to be detected, and the light strip ensures that there is sufficient light source inside the device. The wide-angle spectrum camera is located at the top center of the detection device, and its shooting angle covers the entire interior of the device. Through shape recognition technology, it can effectively capture and store the number of potted flower buds. Through image color analysis, it can obtain and store information such as flower color. The sensor module (not shown in the figure) is located in the center of the base, including an infrared sensor and a gravity sensor, which can realize data detection of plant weight and temperature and humidity. The three-dimensional scanner 220 is arranged on the slide on the inner side of the shell to ensure that the three-dimensional scanner 220 can move up and down to obtain plant height detection data and crown width detection data of the plant to be detected.

[0076] As a further optional embodiment, the plant detection unit 120 further includes a retractable bracket;

[0077] The retractable bracket is used to adjust the height of the plant detection unit, and the retractable bracket is connected to the base with a mortise and tenon joint.

[0078] In order to meet the docking requirements with assembly line tracks of different heights, in this embodiment, a retractable bracket is provided on the outer shell of the plant detection unit 120. The retractable bracket consists of a fixed rod and a retractable rod, and the height can be freely adjusted.

[0079] As a further optional embodiment, the plant detection unit 120 further includes a light strip and a spotlight;

[0080] The light strip is arranged on the top of the inner side of the housing;

[0081] Spotlights are set at the four corners inside the base.

[0082] Referring to Figure 2, a wide-angle spectral camera and a light strip 210 are positioned at the top center of the inner side of the housing. The wide-angle spectral camera is used to acquire image data of the plant to be inspected, while the light strip ensures sufficient light source inside the device. Spotlights 230 are provided near the four corners of the base to ensure the stability and uniformity of the light source inside the plant detection unit. The label recognition unit 140 is located on the inner wall of the housing near the base. The label recognition unit 140 includes a QR code recognizer and a data storage device. The QR code recognizer can recognize the QR code label of the corresponding plant and send the quality evaluation results to the database for storage.

[0083] As a further optional embodiment, the surface of the base is provided with parallel tracks, and the parallel tracks are used to connect with the assembly line.

[0084] Specifically, two parallel tracks are left on the surface of the base, which are connected to the square shell by mortise and tenon joints; the width of the base is greater than the width of the tracks.

[0085] As a further optional embodiment, the plant evaluation unit 130 includes a display module, which is used to display the working status of the plant quality evaluation device, the detection data of the plant to be detected, and the quality evaluation results.

[0086] This display module can be used to display the operating status of the plant quality evaluation device, test data of the plants to be tested, and quality evaluation results. The display module is installed on the plant quality evaluation unit and cooperates with the control module of the plant quality evaluation device to control the plant quality evaluation device. The control device includes a power connection cable, a keyboard, a start button, a stop button, and a data storage unit. Specifically, the keyboard can be used to write programs and input control commands to realize the control of the plant quality evaluation device.

[0087] 3 , the plant quality evaluation method provided by the present invention is described below. The plant quality evaluation method described below is applied to the function or operation of the plant quality evaluation device.

[0088] A method for evaluating plant quality, comprising:

[0089] Step 310: transporting the plants to be tested by a plant transport unit;

[0090] Step 320: Acquire detection data of the plant to be detected through the plant detection unit;

[0091] Step 330: The plant evaluation unit performs a quality evaluation on the plant to be tested based on the test data obtained by the plant detection unit;

[0092] Step 340: Use the label recognition unit to identify the QR code label set on the plant to be detected to obtain the plant identification corresponding to the plant to be detected, and save the quality evaluation result in a database corresponding to the plant identification.

[0093] It should be noted that the plant evaluation unit is equipped with a pre-built quality evaluation model, which is constructed by the following method:

[0094] The quality detection judgment matrix is ​​determined by taking the flower color detection data, leaf detection data and plant detection data as influencing factors. Then, the target influencing factor weight is determined based on the quality detection judgment matrix. Then, the plant quality evaluation model is determined based on the flower color detection data, leaf detection data, plant detection data and the target influencing factor weight. Specifically, H plant quality is used as the target layer, H1, H2, H3 are used as the first-level influencing factors, and H 11 ,H 12 ,H 13， H 21 ,H 22 ,H 23 ,H 31 ,H 32 ,H 33 As the second-level impact factor, each element in H, H1, H2, H3 is compared with each other to obtain the judgment matrix A, A1, A2 and A3; the weights of each second-level impact factor θ, θ1, θ2, θ3 are calculated using the matrix A, A1, A2 and A3 using the hierarchical single row method; the weights of each subordinate first-level impact factor δ, δ1, δ2, δ3 are calculated using the second-level impact factor, where δ i =Σθ i ×Gii. Therefore, the target impact factor weight is Score=Σθ i ×δ i ×100.

[0095] Here, the quality evaluation model can be trained using a labeled training dataset, which can be input into the initialized quality evaluation model for training. Specifically, after inputting the data in the training dataset into the initialized quality evaluation model, the model outputs an evaluation result, namely the plant quality result. The accuracy of the recognition model's prediction can be evaluated based on the human quality evaluation result and the aforementioned labels, thereby updating the model's parameters. For the quality evaluation model, the accuracy of the model's prediction results can be measured using a loss function. The loss function is defined on a single training data point and is used to measure the prediction error of a training data point. Specifically, the loss value of the training data point is determined by combining the label of the single training data point and the model's prediction result for that training data point. In actual training, a training dataset contains many training data points, so a cost function is generally used to measure the overall error of the training dataset. The cost function is defined on the entire training dataset and is used to calculate the average prediction error of all training data points, which can better measure the model's prediction effect. For general machine learning models, the aforementioned cost function, combined with a regularization term to measure model complexity, can be used as the training objective function. Based on this objective function, the loss value of the entire training dataset can be calculated. There are many types of commonly used loss functions, such as 0-1 loss function, square loss function, absolute loss function, logarithmic loss function, cross entropy loss function, etc., which can all be used as loss functions of machine learning models, which will not be elaborated here one by one. In the embodiment of the present application, any one of the loss functions can be selected to determine the loss value of the training. Based on the loss value of the training, the back propagation algorithm is used to update the parameters of the model, and a trained quality evaluation model can be obtained by iterating several rounds. Specifically, the number of iterations can be pre-set, or the training is considered to be completed when the test set meets the accuracy requirements.

[0096] The plant quality evaluation method provided by the present invention includes: transporting plants to be tested using a plant transport unit; acquiring test data of the plants to be tested using a plant testing unit; performing quality evaluation of the plants to be tested based on the test data acquired by the plant testing unit using a plant evaluation unit; and identifying a QR code label attached to the plants to be tested using a label recognition unit to acquire a plant identifier corresponding to the plants to be tested, and storing the quality evaluation results in a database corresponding to the plant identifier. This method enables rapid testing and evaluation of plant traits, improves testing efficiency, significantly reduces operating costs and labor costs of nursery bases, and provides a basis for the productized operation of nursery bases.

[0097] FIG4 illustrates a schematic diagram of the physical structure of an electronic device. As shown in FIG4 , the electronic device may include: a processor 410, a communications interface 420, a memory 430, and a communication bus 440. The processor 410, the communications interface 420, and the memory 430 communicate with each other via the communication bus 440. The processor 410 may call logic instructions in the memory 430 to execute a plant quality evaluation method, which includes:

[0098] Transporting the plants to be tested through the plant transport unit;

[0099] Acquiring detection data of the plant to be detected through the plant detection unit;

[0100] The plant evaluation unit evaluates the quality of the plant to be tested based on the test data obtained by the plant detection unit;

[0101] The label recognition unit is used to identify the QR code label set on the plant to be detected to obtain the plant identification corresponding to the plant to be detected, and the quality evaluation result is saved in a database corresponding to the plant identification.

[0102] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0103] In another aspect, the present invention further provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can perform the plant quality evaluation method provided by the above methods, which includes:

[0104] Transporting the plants to be tested through the plant transport unit;

[0105] Acquiring detection data of the plant to be detected through the plant detection unit;

[0106] The plant evaluation unit evaluates the quality of the plant to be tested based on the test data obtained by the plant detection unit;

[0107] The label recognition unit is used to identify the QR code label set on the plant to be detected to obtain the plant identification corresponding to the plant to be detected, and the quality evaluation result is saved in a database corresponding to the plant identification.

[0108] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the plant quality evaluation method provided by the above methods, the method comprising:

[0109] Transporting the plants to be tested through the plant transport unit;

[0110] Acquiring detection data of the plant to be detected through the plant detection unit;

[0111] The plant evaluation unit evaluates the quality of the plant to be tested based on the test data obtained by the plant detection unit;

[0112] The label recognition unit is used to identify the QR code label set on the plant to be detected to obtain the plant identification corresponding to the plant to be detected, and the quality evaluation result is saved in a database corresponding to the plant identification.

[0113] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0114] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A plant quality evaluation device, characterized in that, The device includes: a plant transportation unit, a plant detection unit, a plant evaluation unit, and a label recognition unit; The plant transportation unit is used to transport the plants to be detected; The plant detection unit is used to obtain the detection data of the plants to be detected; The plant evaluation unit is used to conduct quality evaluation on the plants to be detected according to the detection data obtained by the plant detection unit; The label recognition unit is used to recognize the QR code label set on the plants to be detected, so as to obtain the plant identification corresponding to the plants to be detected, and save the quality evaluation result in the database corresponding to the plant identification.

2. The plant quality evaluation device according to claim 1, characterized in that, The plant quality evaluation device further includes a plant classification unit; The plant classification unit is used to classify the plants to be detected according to the quality evaluation result.

3. The plant quality evaluation device according to claim 2, wherein The plant transportation unit includes a front-end connection module and a conveyor belt module; The front-end connection module is used to connect to the nursery production line track to transfer the plants to be detected onto the conveyor belt module; The conveyor belt module is used to transport the plants to be detected to the plant detection unit, and is also used to transport the plants to be detected to the warehouse corresponding to the classification result of the plant classification unit.

4. The plant quality evaluation device according to claim 3, characterized in that, The front-end connection module is provided with a buckle, and the buckle is used to fix the plants to be detected.

5. The plant quality evaluation device according to claim 1, characterized in that The plant detection unit includes: a housing, a base, a wide-angle spectral camera, a sensor module, and a 3D scanner; The wide-angle spectral camera is arranged at the center of the top inside the housing and is used to obtain the image data of the plants to be detected; The sensor module is arranged at the center of the base and is used to obtain the temperature and humidity detection data and the weight data of the plants to be detected; The 3D scanner is arranged on the slideway on the side inside the housing and is used to obtain the plant height detection data and the crown width detection data of the plants to be detected.

6. The plant quality evaluation device according to claim 5, characterized in that The plant detection unit further includes a telescopic bracket; The telescopic bracket is used to adjust the height of the plant detection unit, and the telescopic bracket is mortise-and-tenon connected to the base.

7. The plant quality evaluation device according to claim 6, wherein The plant detection unit further includes a light strip and a spotlight; The light strip is arranged at the top inside the housing; The spotlight is arranged at the four corners inside the base.

8. The plant quality evaluation device according to claim 7, wherein, Parallel tracks are provided on the surface of the base, and the parallel tracks are used to connect to the production line.

9. The plant quality evaluation device according to claim 1, characterized in that, The plant evaluation unit includes a display module, and the display module is used to display the working state of the plant quality evaluation device, the detection data of the plants to be detected, and the quality evaluation result.

10. A method for evaluating the quality of a plant, which is applied to the function or operation of the plant quality evaluation device as described in any one of claims 1 to 9, characterized in that, including: Transport the plants to be detected through the plant transportation unit; Obtain the detection data of the plants to be detected through the plant detection unit; Conduct quality evaluation on the plants to be detected according to the detection data obtained by the plant detection unit through the plant evaluation unit; Recognize the QR code label set on the plants to be detected through the label recognition unit, so as to obtain the plant identification corresponding to the plants to be detected, and save the quality evaluation result in the database corresponding to the plant identification.

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