204 results about "Food quality" patented technology

The invention relates to the technical field of food quality detection, and discloses a meat product comprehensive scoring method based on principal component analysis, and the method comprises the steps: firstly obtaining physicochemical index (such as protein and fat content) and sensory attribute (such as color saturation and elasticity index) data of multiple batches of samples, and carrying out the structural arrangement of the two types of data according to batches and index dimensions; respectively carrying out Z-score standardization, range normalization and other processing, and extracting a physicochemical index feature vector and a sensory attribute feature vector; constructing a dynamic weight strategy through a variance contribution rate and a feature root ratio, and performing weighted fusion on the two types of feature vectors to obtain a fused feature vector; and finally, inputting the data into a scoring model, and after centesimal system conversion and distribution calibration, dividing quality grades in combination with an industry standard threshold to generate a comprehensive scoring result containing alphanumeric identifiers. The method realizes multi-dimensional data fusion and dynamic empowerment, improves the scoring accuracy, and is suitable for meat product quality evaluation.

The utility model discloses a food quality detection sampling device relates to sampling device technical field, and it is including: sampling outer tube, and its one end is equipped with puncture part, sampling inner tube, and the inside of sampling outer tube is movably inserted, and with sampling outer tube rotatable, and the one end of sampling inner tube is equipped with the discharge gate in sampling outer tube outside, handheld part, set up in sampling outer tube and sampling inner tube away from the one end of puncture part, outer hole, open in the circumferential side of sampling outer tube, inner hole, open in the circumferential side of sampling inner tube, reinforcing pad, fixed in the inside of sampling inner tube, and located the opposite side of inner hole, through the inside fixed setting reinforcing pad in the opposite side of inner hole, the bending strength that significantly made up for the loss because of the trepanning, prevent sampling inner tube from bending deformation in the process of insertion or rotation, improved the structural stability of device under high pressure food detection and other working conditions.

The utility model relates to a food quality detection device which comprises a first path, a second path and a third path, and an object to be detected passes through the first path, the second path and the third path in sequence; the first path is provided with a detection part, and the second path is in linkage fit with the detection part and forms releasing or resetting. Through cooperation of the three paths, after the packaging bags are scanned and detected, the unqualified packaging bags can fall off from the middle of the conveying line, and the qualified packaging bags are directly conveyed to the tail end of the conveying line, so that automatic sorting of the qualified packaging bags and the unqualified packaging bags is completed; compared with the prior art, the detection efficiency can be effectively improved.

The application belongs to the technical field of food quality monitoring, and particularly relates to a ferric magnetic solid-phase masking agent and a quantitative detection method for lead in vegetable products. The ferric magnetic solid-phase masking agent is prepared by the following method: S1, performing carboxylation on the terminal amino group of DFO to obtain DFO-COOH; S2, coating a SiO2 layer on the surface of Fe3O4 magnetic core to obtain Fe3O4@SiO2; S3, modifying the Fe3O4@SiO2 by amination to obtain Fe3O4@SiO2-NH2; and S4, coupling Ac-DFO with Fe3O4@SiO2-NH2 to obtain Fe3O4@SiO2-DFO. The three hydroxamic acid groups of DFO are combined with Fe 3+ to form a stable chelate, and Fe 3+ can be removed through magnetic separation, the removal rate is increased to more than 99%, and the quantitative detection of lead ions is further faster and more accurate in combination with mature immunochromatography technology.

This invention belongs to the field of biomaterial preparation technology, specifically disclosing a self-assembled supramolecular peptide nanozyme material, its preparation method, and its application. The preparation method includes the following steps: S1, dissolving β-alanyl-L-histidine in ultrapure water and stirring until homogeneous to obtain solution A; S2, dissolving heme chloride in dimethyl sulfoxide and stirring until homogeneous to obtain solution B; S3, mixing solution A and solution B until homogeneous, adjusting the pH, heating in a water bath, incubating at room temperature, centrifuging, discarding the precipitate, and retaining the supernatant; S4, lyophilizing and grinding the supernatant obtained in S3 to obtain the self-assembled supramolecular peptide nanozyme material. This invention discloses a self-assembled supramolecular peptide nanozyme material, its preparation method, and its application. This supramolecular peptide nanozyme, when applied to food quality and safety testing, can achieve visual and sensitive colorimetric detection of biogenic amines in spoiled food.

The utility model relates to a food metal detector. Comprising two first conveying belts arranged at intervals and a second conveying belt located between the two first conveying belts, and the conveying direction between the second conveying belts is opposite to the conveying direction of the first conveying belts; the metal detector body is located above the first conveying belt and the second conveying belt. Guide plates for guiding food to the second conveying belts are arranged at one ends of the two first conveying belts; baffles are arranged between the two first conveying belts and the second conveying belt. When food is conveyed, the food is firstly conveyed through the first conveying belt and passes through the metal detector body for the first time, when the food reaches the guide plate through the first conveying belt, the food collides with the guide plate, the food enters the first conveying belt under the action of the guide plate, and in the whole process, the angle of the food changes immediately; and then the food is re-inspected on the second conveying belt through the metal inspection machine body, so that the detection error caused by the angle of the food is effectively avoided, and the detection effect of the metal inspection machine is further improved.

The utility model discloses a sampling device for food quality detection belongs to food detection technical field, and its technical scheme main points include sampling cylinder, the top of sampling cylinder is provided with the top cover, the bottom of top cover is provided with cutting mechanism, the bottom of sampling cylinder is provided with the bottom cover, the bottom of sampling cylinder is provided with support mechanism, the cutting mechanism includes pressing block, spring, sliding rod and cutting cylinder, the bottom of pressing block is fixedly connected with the top of sliding rod, the sliding rod slidingly inserts inside the top cover, the surface of spring is movably sleeved in the sliding rod, the top of spring is in contact with the bottom of pressing block, the bottom of spring is in contact with the top of top cover, the structure of the food sampling of existing part is solved, especially when the quality of vegetable food is detected, it is more inconvenient, still needs manual cutting sampling with blade, and the efficiency is lower, and the problem that sample pollution is easily caused is solved.

The invention relates to the technical field of food quality inspection, in particular to a multi-dimensional analysis food quality detection system, which comprises a data acquisition module for performing non-destructive physical detection on a target food sample, acquiring a multi-source sensing signal and generating a food original physical characteristic data stream; the feature extraction module is used for constructing a multi-dimensional physical feature vector matrix of food and carrying out dimension standardization and redundant feature elimination processing; the characteristic correlation analysis module is used for performing similarity comparison on the multi-dimensional physical characteristic vector matrix and a preset food component database, outputting a food component estimation result and establishing a mapping model between physical characteristics and chemical indexes; and the quality evaluation module is used for comparing a food component estimation result with a food standard parameter, generating a quality risk grade evaluation report and dynamically adjusting a sensing strategy. According to the invention, the safety, efficiency and broad-spectrum adaptive capacity of food detection are improved, and the method is especially suitable for online rapid screening scenes of complete commodities, raw materials or in-transit food.

The application discloses a food full-link quality deterioration tracing method and system, a medium and a product, and relates to the technical field of food quality tracing.The method is implemented, and a sensory description label in consumer feedback information is extracted by a tracing system; with the aid of a preset food quality knowledge graph, accurate mapping of subjective sensory information and objective physical and chemical indexes is realized, and the problem that subjective feedback and objective data are disconnected in a traditional tracing system is solved.The tracing system carries out dynamic deduction on food full-link monitoring data through a preset quality deterioration dynamics model, and upgrades food quality deterioration from static threshold judgment to dynamic numerical evolution track analysis, so that the cumulative deterioration effect of each circulation link can be quantified.The tracing system screens food quality deterioration responsibility links based on average deterioration rate and link deterioration increment, traces deterioration inducement of the responsibility links in combination with the preset food quality knowledge graph, accurately defines the deterioration responsibility and traces the reasons, and improves the tracing efficiency and accuracy.

The invention relates to the technical field of spectral analysis, in particular to a hydroxytyrosol content detection method and system for food quality inspection.The method comprises the steps that spectral data of an olive oil food sample are collected, liquid chromatographic data of the food sample are obtained, a peak point, a chromatographic peak sequence and a chromatographic peak half-and-half sequence are determined, a chromatographic peak shape interference coefficient is obtained, and a hydroxytyrosol content detection result is obtained. Acquiring a peak shape symmetric inclination coefficient based on the chromatographic peak shape interference coefficient and the difference before and after peak points in the chromatographic peak half-and-half sequence, determining a self-adaptive asymmetric penalty coefficient, acquiring chromatographic data of the corrected olive oil food sample, and judging whether the content of hydroxytyrosol in the olive oil food sample reaches the standard or not. The method aims at solving the problems that in a traditional BEADS algorithm, an asymmetric penalty factor cannot be dynamically adjusted according to the liquid chromatogram data of the olive oil food sample, so that the liquid chromatogram data of the olive oil food sample is excessively corrected and is not sufficiently corrected.

This invention discloses a method for screening key neurotoxic substances in food raw materials and their products using a *C. elegans* model combined with metabolomics. Food samples are processed to prepare a stock solution, which is then used to cultivate *C. elegans*. The sample exhibiting the greatest neurotoxicity to the nematodes is identified by analyzing the number of *C. elegans* movements and neuronal fluorescence images. Subsequently, key neurotoxic substances in food are systematically screened using a combination of non-targeted liquid chromatography-tandem mass spectrometry (LC-MS / MS) and a metabolomics platform. This application establishes a novel method for screening neurotoxic substances by combining nematode activity with non-targeted LC-MS / MS determination and a non-targeted metabolic platform, clarifying key neurotoxic substances in food and providing a theoretical basis for food quality control and high-quality development.

The invention discloses a food quick-freezing temperature and humidity cooperative control method and system based on edge calculation, and relates to the technical field related to data processing, and the method comprises the steps: configuring an edge box in a quick-freezing cabin, integrating a surface temperature array, a humidity probe and an anemometer, and executing the data collection in the quick-freezing cabin; obtaining a quick-frozen food label, reading equipment power of a quick-freezing cabin, and configuring constraint conditions; configuring a cooperative control channel including the cooperative control channel of the first target and the second target; and configuring a cooperative control channel by using a quick-frozen food label, taking an initial data set as an initial condition, executing three-stage temperature and humidity control optimization under the constraint of a constraint condition, establishing a cooperative control parameter, and then performing quick-freezing cabin control management. The technical problem that in the prior art, the quick-freezing efficiency and the product quality are poor due to the fact that data transmission cloud decision response is high in delay and temperature and humidity cannot be optimized in a collaborative mode is solved, and the technical effects of improving the quick-frozen food quality and the quick-freezing efficiency and reducing energy consumption are achieved.

This invention discloses a device and its application method for food quality testing based on air-coupled ultrasound technology, relating to the field of fruit and vegetable quality testing technology. The device includes a base plate with two opposing detection mechanisms slidably mounted on it along the Y-axis, and a placement platform between the mechanisms. The placement platform is mounted on a horizontal moving mechanism and moves up and down along the Z-axis with the vertical moving mechanism, enabling sample adjustment in the X and Z-axis directions. The detection mechanisms hold the ultrasonic transducer using a four-jaw chuck. Utilizing the independent adjustment characteristics of the four jaws of the chuck, combined with the A-scan waveform fed back from the ultrasonic pulse transceiver, precise coaxial alignment of the acoustic centers of the transmitting and receiving probes is achieved. This invention effectively solves the problems of large mechanical vibration, difficulty in aligning the acoustic center of the probe, and difficulty in performing repeatable grid scanning in existing devices, providing a stable and reliable hardware platform for texture evaluation and internal structure imaging of fruits, vegetables, and other foods.

The invention discloses a multi-index rapid detection method for Tangyou food, and belongs to the technical field of food quality detection. The method comprises the following steps: collecting spectral data and temperature data of a to-be-detected sample through a near infrared spectrum technology, sequentially carrying out standard normal variable transformation and smooth filtering pretreatment on the spectral data, and screening characteristic wavelengths related to the pickling depth, the oil content and the water activity by adopting a competitive self-adaptive reweighting sampling algorithm; and inputting the characteristic spectrum data into a joint partial least squares regression model to carry out multi-index collaborative prediction, carrying out temperature compensation correction on a predicted value according to the temperature data, and finally comparing the corrected predicted value with a quality standard threshold value and outputting a detection result. According to the method, the model complexity is reduced through characteristic wavelength screening, the prediction precision and efficiency are improved through joint modeling, the detection stability is ensured through temperature compensation, and rapid nondestructive detection of the quality index of the Tangyang food is realized.

The invention discloses a fresh meat freshness detection method and system, and relates to the technical field of food quality safety detection. The method comprises the following steps: acquiring fresh meat multi-index colorimetric array image data, and constructing an improved YOLOv11n model for analysis; according to the model, an original Bottleneck convolution module is replaced by a NewBlock module, the NewBlock module comprises three branches which are connected in parallel, the first branch adopts grouping convolution to extract global initial features, the second branch captures color texture details through cascade multi-scale convolution, the third branch carries out convolution on part of channels, and the rest channels are directly transmitted to extract key features; and after the output of each branch is integrated by the feature fusion layer, the detection layer realizes automatic grading of the freshness of the fresh meat. According to the method, full-coverage perception and high-precision real-time automatic detection of the corruption features are realized, and the problems that a traditional method is high in subjectivity and long in period and depends on professional equipment are effectively solved.

This invention provides a machine vision recognition method and system for commercially available frozen mutton slices adulterated with other meats, relating to the fields of food quality authenticity detection and computer vision technology. The invention acquires images of frozen mutton slices under standardized visible light imaging conditions, and obtains a preprocessed image set through unified resolution, normalization, circular region of interest extraction, and data augmentation. It constructs color matrix features in RGB, HSV, and Lab color spaces and generates five texture features from gray-level co-occurrence matrices, and extracts principal component features with a cumulative contribution rate exceeding 99% through principal component analysis. A random forest model is trained based on original-cut, conditioned, and reconstituted mutton slice samples to classify and identify the mutton slices to be tested. This invention achieves rapid, stable, and high-precision identification of frozen mutton slices adulterated with foreign meat and meat products under standardized illumination conditions.

The invention discloses a liquid food salty taste enhancer based on hydrophilic colloid and a preparation method thereof, and the method comprises six steps of Arabic gum pretreatment, Arabic gum component primary separation, Arabic gum component secondary separation, freeze drying treatment, glycoprotein-glycan powder preparation and plastic packaging. The obtained salty taste enhancer has a high salty taste enhancing effect, and the purposes of enhancing the salty taste strength, reducing the salt content and balancing the food quality can be achieved only through an extremely small adding amount. According to the application, the Arabic gum is taken as a raw material, the components of the Arabic gum are optimized to regulate and control the salty taste enhancing effect, and a novel high-efficiency and low-dosage salty taste perception accelerant which can be used for healthy low-salt food is provided for people.

The invention discloses a nitrogen-doped carbon dot and a rapid fluorescence detection method thereof for indoxacarb residue, and belongs to the field of biosensor technology and food quality detection. L-theanine and ethidene diamine are used as raw materials, the nitrogen-doped carbon dots are prepared through a hydrothermal method, the N-CDs have the advantages of being stable in fluorescence emission, good in salt tolerance and excellent in photobleaching resistance, and indoxacarb can specifically quench fluorescence through the static quenching effect. By optimizing N-CDs synthesis conditions and indoxacarb detection conditions, an indoxacarb fluorescence sensing detection system with high selectivity and high sensitivity is constructed. The detection method disclosed by the invention can be suitable for detecting indoxacarb residues in environmental water samples such as tap water and river water and agricultural product matrixes such as apples and tea leaves, the standard recovery rate is good, the relative standard deviation is low, on-site rapid screening of the indoxacarb residues can be realized, and a new technical means is provided for monitoring the quality safety of the environment and agricultural products.

The utility model discloses a nitrogen determination device for food quality detection. The nitrogen determination device comprises a main body, an adjusting screw rod and a fixing mechanism, two sliding grooves are formed in the front end of the main body, and adjusting screw rods are in threaded connection with the interiors of the sliding grooves; the two fixing mechanisms are arranged on the adjusting screw rod in an array mode. The fixing mechanism comprises a mounting plate, an adjusting ring, a screw rod and a driving gear; top blocks are symmetrically arranged at the rear end of the mounting plate and are in threaded connection with adjusting screw rods; mounting groove mounting screws and driving gears are arranged at the upper end of the mounting ring in an array manner; the lower part of the mounting ring is rotationally connected with an adjusting ring; a circular ring is formed at the front ends of the screw rods in the mounting grooves arranged in the array; the screw rod is in sliding connection with the mounting groove, and the screw rod is in threaded connection with the driving gear; a replaceable sponge layer is arranged at the front end of the screw rod; the driving gear is in gear connection with the adjusting gear; the driving gear is controlled to rotate by rotating the adjusting ring, the screw rod is controlled to move back and forth, and the diameter of a circular ring formed at the front end of the screw rod in the mounting groove is adjusted.

This invention introduces an advanced odor detection and classification system that integrates optical and conductive sensors with artificial intelligence for precise, real-time identification of odor profiles across diverse fields. The system employs a colorimetric sensor to capture CIELAB values and a conductive sensor to measure voltage, with data processed through a Neural Network model. This model is trained on an extensive dataset to recognize and predict odors, adapting to variations in odor intensity for enhanced accuracy. Designed for high selectivity, stability, and resilience to environmental factors, the system is ideal for applications in medical diagnostics, food quality control, environmental monitoring, and industrial safety.

The suspended matter removing system comprises a tank body and an end cover connected with the tank body in a sealed mode, an adaptive piston is arranged in the tank body, a driving mechanism for driving the piston to do reciprocating motion is arranged on the end cover, a soup inlet and outlet and an oil outlet are formed in the side face of the end, close to the end cover, of the tank body, and the oil outlet is communicated with the piston. The soup inlet and outlet is connected with an external pot body, control valves are arranged on the soup inlet and outlet and the oil discharge port, and the oil pot further comprises a lifting mechanism used for opening the end cover. According to the system, floating foam or grease floating on the surface of soup in the food cooking process can be removed, the food quality and sanitation are guaranteed, the interior and the exterior of the system can be cleaned, and the overall sanitation level of the equipment is improved.

The utility model provides food transportation basket cleaning equipment, and relates to the technical field of food processing. The main frame is fixedly installed on a food conveying line, an arc-shaped hard pipe is installed in the main frame, four cleaning nozzles are installed outside the arc-shaped hard pipe, and the cleaning nozzles communicate with the interior of the arc-shaped hard pipe; a water guide hose is mounted in the main frame, and the arc-shaped hard pipe is communicated with a water supply pipeline through the water guide hose; the outer part of the main frame is connected with a movable frame; the bottom of the movable frame is connected with the arc-shaped hard pipe; a limiting pin is connected into the movable frame, the top of the arc-shaped hard pipe is in a pull ring shape, and the bottom of the limiting pin makes contact with the main frame. When a conveying basket on a food conveying line passes through the interior of the main frame, the interior of the conveying basket is cleaned through purified water sprayed by the cleaning spray head, impurity residues in the conveying basket are reduced, and the situation that impurities are attached to food, and the food quality is affected is effectively avoided.

The application provides a beef full-chain traceability and quality evaluation method and system based on identification sensing, relates to the technical field of intelligent breeding and food quality traceability, and solves the technical problem that the existing technology cannot realize multi-source data fusion analysis and cross-stage quality mapping in the whole breeding process. The method specifically comprises: acquiring multi-source data of cattle; judging the behavior state of the cattle by calculating the activity intensity feature based on the behavior data; estimating the core temperature of the cattle based on the body surface temperature, activity intensity feature and temperature and humidity; calculating the animal welfare index based on the core temperature, activity intensity feature and environmental data; obtaining the fat content and protein content of the beef sample through Raman spectrum detection, and constructing the mapping relationship between the animal welfare index and the fat content and protein content; obtaining the meat quality evaluation index by weighted summation of the fat content and protein content, generating beef product full-link traceability information and visualizing the information. The application is used for beef quality traceability.

The invention discloses an immunochromatography detection kit for pesticide residues in food and a detection method, and relates to the technical field of food detection.The kit comprises an immunochromatography test strip and a sample extracting solution, the immunochromatography test strip is formed by sequentially overlapping and pasting a PVC bottom plate, a sample pad, a combination pad, a nitrocellulose membrane and a water absorption pad, the lap joint width of the adjacent parts is 2-3mm; the synergistic effect of all parts of the immunochromatography test strip is optimized, a detection system with high targeting property is constructed, target pesticide residues are accurately captured and responded by virtue of specific recognition of a target triggering type hydrogel switch, the matrix influence is reduced by matching with a special sample extracting solution, and meanwhile, the molecular recognition and immunochromatography technologies are integrated, so that the detection efficiency is greatly improved. The target trigger type hydrogel switch has the advantages of high selectivity, stable signal marker activity, reasonable layout of a detection line and a quality control line, simplified pretreatment, simple operation, meeting of multi-scene batch detection, and provision of support for food quality safety supervision.

To provide an issuing system, a program and an issuing method.SOLUTION: An issuing system that issues a quality warranty certificate to a user in response to a request for the quality warranty certificate for a target food from the user, the system comprising: a receiving unit that receives a request for the quality warranty certificate for the target food from the user; a measurement result acquiring unit that acquires a measurement result of the target food measured by a sensor; and an issuing unit that inputs the measurement result acquired by the measurement result acquiring unit to any learning model of a plurality of types of learning models that take the measurement result of the food as an input and outputs an evaluation of a plurality of taste-related items associated with the taste of the food as an output, and issues the quality warranty certificate including the evaluation acquired by the evaluation acquiring unit to the user.SELECTED DRAWING: Figure 4

This invention discloses a quality and safety control system applicable to wheatgrass powder processing, specifically relating to the field of food quality control technology. It involves acquiring process traceability information to trace related batches that share equipment, containers, or are processed in adjacent time periods with the target batch, and generating a cross-contact candidate set based on the clearing interval relationship. The system extracts the test results of the corresponding inspection items in the cross-contact candidate set at the preceding, intermediate, and final inspection processes, and calculates a threshold proximity change sequence according to the process position. Based on the threshold proximity change sequence, it compares the deviation direction, deviation continuity, and batch-to-batch synchronicity of the same inspection item across processes to generate a detection matrix deviation marker set. Based on the cross-contact candidate set and the detection matrix deviation marker set, it matches the target batch with the corresponding review process, review item, and review sequence, calls the re-inspection results of the corresponding batch under the corresponding review process to perform a consistency judgment with the original inspection results, and outputs batch release judgment data.

The invention relates to the technical field of functional agricultural product production and grain processing, in particular to a planting and processing method of low-GI rice. Indica rice varieties with specific genetic backgrounds are systematically integrated on the basis of physiological metabolism regulation and control of humic acid substances, precise agronomic time point control and an innovative physical field post-processing technology, so that the glycemic index (GI) of the rice is reduced in a full-chain and targeted manner. According to the low-GI rice produced through the method, the GI value can be stably controlled to be 50 or below, meanwhile, the nutritional ingredients, the taste quality and the aroma characteristics of natural rice are completely reserved, and the unification of the blood glucose reducing function and the excellent eating quality is achieved.

The utility model relates to the field of food packaging, and discloses a cereal leisure food packaging device which comprises a packaging machine support, a U-shaped plate is fixedly installed on the top face of the packaging machine support, a storage hopper is arranged on the top face of the U-shaped plate, and an inner discharging pipe is fixedly installed on the bottom face of the storage hopper. The outer surface of the inner discharging pipe is movably sleeved with an outer discharging sleeve, a vibration conveying mechanism connected with the outer discharging sleeve is arranged on the top face of the packaging machine support, a conveying pipe is arranged at the end, away from the inner discharging pipe, of the outer discharging sleeve, and a rectangular hole is formed in the front side of the conveying pipe. Through cooperation of a second air cylinder and a special-shaped baffle, the flow speed can be flexibly controlled according to food of different shapes in the outer discharging sleeve, the outer discharging sleeve is vibrated through the vibration conveying mechanism, it is guaranteed that the food is evenly and continuously discharged, packaging is convenient after the food is quantified through the quantifying mechanism, damage to the food in the conveying process can be reduced through the vibration mode, and the food quality is improved.

The invention discloses a tea quality identification method, device, medium and equipment, and relates to the technical field of food quality detection. The method comprises the following steps: obtaining a green brick tea sample, and extracting an FTIR spectrum and an ultraviolet visible spectrum of the green brick tea sample; performing principal component analysis on the FTIR spectrum and the ultraviolet-visible spectrum to obtain a PCA score chart of the green brick tea sample; according to the PCA score plot, determining the year category of the tea leaves; respectively carrying out feature extraction on the FTIR spectrum and the ultraviolet visible spectrum by utilizing a trained CNN prediction model to obtain FTIR spectrum features and ultraviolet visible spectrum features; splicing the FTIR spectral features and the ultraviolet-visible spectral features to obtain spectral features of the green brick tea leaves; performing year classification on the spectral features of the green brick tea leaves by using a pre-trained SVM model to obtain tea leaf year categories of the green brick tea samples; and identifying the quality of the tea based on the year category of the tea.