9823 results about "Horticulture" patented technology

Provided in the present invention are a creation method and apparatus for a tea leaf disease recognition model, and a device and a storage medium. The creation method comprises: acquiring a plurality of images of tea leaves, and disease and insect pest information corresponding to each image; generating a tea leaf disease recognition model, wherein the tea leaf disease recognition model includes a MobileNetV3 model, an ultra-lightweight attention model and a fully connected layer; and on the basis of the plurality of images of tea leaves and the disease and insect pest information corresponding to each image, training the tea leaf disease recognition model. The tea leaf disease recognition model can automatically recognize tea leaf diseases and insect pests.

The invention provides a tomato maturity detection method based on improved yo11, and relates to the technical field of tomato maturity detection.The tomato maturity detection method comprises the four steps of tomato image data set construction, maturity detection model construction, maturity detection model training and tomato maturity detection.A C3K2WTConv module is designed through an innovative wavelet transform convolution structure; therefore, a YOLOv11-WTConv algorithm is provided, the multi-scale feature extraction capability of a target is enhanced, the mAP50 index is improved, the detection accuracy is improved at the same time, the detection precision and robustness of tomato maturity grading are remarkably improved, and key technical support is provided for intelligent production management of facility agriculture.

The invention discloses a fruit and vegetable logistics supply chain management system based on aging analysis, relates to the technical field of fruit and vegetable logistics management, and solves the technical problems that a traditional logistics path selection method is single, multiple factors are not comprehensively considered, an optimal path is difficult to select, and an effective real-time monitoring and adjusting mechanism is not available in the transportation process. According to the invention, when the logistics path is generated, factors such as the traffic flow, the vehicle speed and the slow moving distance of different paths between the logistics starting point and the logistics ending point are comprehensively considered, the path with the minimum logistics value is selected as the standard logistics path by calculating the path value, and the remaining path in the standard logistics path can be monitored in real time in the transportation process; for different types of fruits and vegetables, the fresh-keeping time, namely the fruit and vegetable aging time, is fully considered. In the route selection and transportation process, the fruit and vegetable aging duration is always used as an important reference index, and it is ensured that the selected route and transportation scheme can complete the transportation task within the fruit and vegetable fresh-keeping period.

The invention provides a tea tree fresh leaf identification method and system based on YOLOv8 in the technical field of tea leaf detection, and the method comprises the following steps: S1, obtaining a large number of historical images of tea tree fresh leaves, carrying out the preprocessing of data annotation and data expansion of each historical image, and constructing a data set; s2, creating a tea tree fresh leaf recognition model based on a YOLOv8 network, and setting a loss function of the tea tree fresh leaf recognition model as an I nner-S I oU function; s3, dividing the data set into a training set, a verification set and a test set based on a preset proportion, and training, verifying and testing the tea tree fresh leaf recognition model through the training set, the verification set and the test set; and S4, deploying the tea tree fresh leaf recognition model passing the test, and performing tea tree fresh leaf recognition by using the deployed tea tree fresh leaf recognition model. The method has the advantage that the identification accuracy of the fresh tea leaves is greatly improved.

The invention discloses a method and a system for evaluating the lodging resistance of stalks in a corn flowering period, and relates to the technical field of evaluating the lodging resistance of corn stalks. Comprising the following steps: collecting a plurality of corn plants with known physiological characteristic parameters in the flowering period, performing infrared scanning on the stalk surfaces of the corn plants to obtain an infrared spectrum image, and establishing a sample data set with the physiological characteristic parameters; training a neural network model based on the sample data set, and obtaining a plant physiological feature parameter prediction model by taking the infrared spectrum image as input and the physiological feature parameters as labels; performing infrared scanning on a target plant, and inputting the target plant into the prediction model to obtain a physiological characteristic parameter prediction value; calculating a stem structure stability index by combining geometric structure parameters; calculating an environmental adaptability index according to the environmental parameters; generating a lodging-resistant force index by combining the two, and generating a lodging-resistant force evaluation result according to the lodging-resistant force index. And the accuracy, comprehensiveness, precision and efficiency of evaluation are remarkably improved.

Disclosed are a handmade flower and a flower maker. The handmade flower comprises a rod, a bracket, a lump, and pieces, wherein a socket allowing one end of the rod to be inserted therein is formed in one end of the bracket, an assembly hole is formed in the other end of the bracket, and an eject post and a connecting post are arranged at two ends of the lump respectively. The handmade flower can be assembled by insertion more directly and easily; by means of the flower maker, the handmade flower can be assembled more tightly and can be made more efficiently and easily, and the flower is likely to fall apart and can be easily made by kids.

Disclosed herein is a novel electric insect zapper design incorporating a UV light source and a specialized fruit flies bait tray. This combination effectively attracts and eliminates a high percentage of fruit flies, offering a more efficient solution compared to traditional bug zappers. The bait tray, placed close to the UV light, uses diced fermenting fruits to specifically target fruit flies, leading to rapid and effective control of these pests in household environments.

The invention belongs to the technical field of cosmetic production, and discloses an anti-wrinkle composition and a preparation method and application thereof as well as cosmetics, the anti-wrinkle composition comprises a flos magnoliae extract and an emblic leafflower fruit extract, and the mass ratio of the flos magnoliae extract to the emblic leafflower fruit extract is (0.1-8): (0.5-10); through the synergistic effect of flos magnoliae and fructus phyllanthi contained in the composition, the composition not only has good elastinase inhibition ability, but also has excellent antioxidant ability, so that the composition has good elastinase inhibition ability and good free radical scavenging ability, and further achieves good anti-wrinkle performance.

The invention relates to the technical field of image data processing, in particular to a multispectral monitoring and optimizing method and system for tea tree growth in a tea garden. The method comprises the following steps: acquiring tea tree growth spectrum data; performing tea tree growth spectral feature extraction according to the tea tree growth spectral data to obtain tea tree growth spectral feature data; performing tea tree growth index calculation according to the tea tree growth spectral feature data to obtain tea tree growth index data; and performing growth state monitoring according to the tea tree growth index data to obtain tea tree growth state monitoring data so as to perform tea tree growth and cultivation optimization operation. By continuously monitoring the growth state of the tea trees and performing dynamic optimization, the tea trees can be ensured to be always in the optimal growth environment, so that the yield and quality of the tea leaves are improved to the maximum extent.

The invention relates to the technical field of agricultural planting, and discloses a fertilization ratio optimization method for a pitaya growth cycle, which comprises the following steps: sample collection: collecting root soil from a plurality of pitaya plantations according to the pitaya growth cycle, and collecting soil layers with different depths in a layered manner; soil plant analysis: detecting the content of elements in the soil; strain separation: using a plate streak separation method; material screening: testing a carrier material, and evaluating adsorption of the material to microorganisms; organic raw material treatment: waste pitaya branches and pomace in the plantation are collected; according to the growth nutritional requirements of young trees, the technology is integrated; and according to the growth cycle result, the technology is optimized to improve the technical details. Soil and plant nutrition conditions are accurately mastered through sample collection and analysis, a scientific basis is provided for fertilization, and blind fertilization is avoided. According to the technology integration, all links are integrated and perfected, and an efficient closed loop is formed. Finally, the fertilizer utilization rate is effectively improved and high-quality and high-yield pitaya is realized.

The invention relates to the related technical field of shrubalthea flower tea production, and discloses a conveying system for shrubalthea flower drying processing and a method thereof.The system comprises a supporting frame, multiple pairs of connecting rods are arranged on the two side walls of the supporting frame, first movable frames are arranged at the lower ends of the multiple pairs of connecting rods, and second movable frames are arranged at the upper ends of the multiple pairs of connecting rods; a feeding groove is formed in the upper side of the second movable frame, a guiding piece is arranged on the upper side of the interior of the feeding groove, a plurality of V-shaped blocks are arranged on the inclined face of the upper side of the guiding piece, and the two ends of each V-shaped block are each rotationally provided with a shifting plate; according to the shrub althea flower stirring and dispersing device, hot air in two stirring plates can be sprayed out through a plurality of second spraying holes, the hot air sprayed out of the second spraying holes has a buffering effect on stirred and dispersed shrub althea flowers, the damage degree of swinging of the stirring plates to the shrub althea flowers is reduced, the stirring and dispersing effects of the shrub althea flowers are improved, and moisture carried by the shrub althea flowers is reduced; and the subsequent uniform drying effect on the shrub althea flowers can be improved.

The invention discloses a fixed fungus bed double-layer gastrodia elata cultivation device and method, and relates to the technical field of gastrodia elata cultivation. Comprising a cultivation installation part, and the cultivation installation part is used for double-layer cultivation of gastrodia elata. One-way isolation pieces are mounted on the cultivation mounting pieces; a limiting releasing part is mounted on the cultivation mounting part; a loosening prompting piece is mounted at the bottom of the cultivation mounting piece; the loosening prompting piece is used for detecting soil loosening during cultivation; an inclined control piece is mounted at the top of the cultivation mounting piece; the wood pile mushroom bed base material can be positioned by adopting the cultivation mounting piece, so that the wood pile mushroom bed base material can be fully utilized; the problems that according to an existing fixed fungus bed double-layer gastrodia elata cultivation device, seeds and seed tubers cannot be conveniently cultivated in a double-layer mode, and soil layer looseness cannot be conveniently prompted are solved.

The invention discloses a tea leaf fermentation degree determination method with image recognition, which comprises the following steps: shooting tea leaves through a high-definition camera and a camera in different tea leaf processing stages according to different tea leaves to obtain high-definition images of the tea leaves, preprocessing the collected tea leaf images, and determining the fermentation degree of the tea leaves according to the preprocessed tea leaf images. Through denoising, contrast enhancement and color correction technologies, an acquired image is preprocessed, the image is converted into a proper color space for extracting color features in the tea image, and dominant hue and color distribution on the surface of tea are analyzed. The invention relates to the technical field of tea leaf detection, and the method can realize non-destructive, real-time and accurate tea leaf fermentation degree monitoring, and automatically judges the fermentation state of tea leaves by shooting tea leaf images and analyzing visual features of colors, forms and textures of the tea leaves in combination with a machine learning algorithm. Therefore, the automation level and the production efficiency of the tea processing process are improved.

The invention discloses a tomato stem picking point attitude estimation method, and relates to a computer vision processing technology. The method comprises the following steps: detecting a long-range directional frame target, acquiring a color flow by a depth camera, and detecting position information and shielding conditions of fruits and fruit stems through a directional frame; visual guidance: matching fruit stems based on tomato growth constraint conditions, and visually guiding the mobile platform and the mechanical arm to move in a coupling manner until the fruit stems are observed when the fruit stems are not matched; detecting close-range key points, regulating and controlling a mechanical arm to a close-range observation position, identifying two points of a main stem and three points of a fruit stem through a key point detection model, and extracting point clouds; performing point cloud data processing, removing point cloud noise through point cloud filtering, and performing adaptive compensation on key points with depth anomaly by using a neighborhood mean value; calculating picking poses, and establishing the picking poses of the fruit stem shear points according to the three-dimensional information of the five key points; according to the method, the problem of tomato shielding in a greenhouse complex scene can be effectively solved, and the fruit stem shearing point pose is obtained.

1. Name of the Design Product: Watch Band (Rosewood Bracelet Watch Band). 2. Use of the Design Product: Used as a watch band to connect to the watch head. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective View 1. 5. The design key points of the left and right views are expressed in the perspective views, so the left and right views are omitted.

The invention relates to the technical field of production of organic chili oil bean halves, and discloses an organic chili oil bean halve production process which comprises the following steps: cooking and curing organic broad beans, cooling to make koji, and carrying out heat preservation fermentation to obtain sweet halves; mixing and pickling the organic fresh chilies with sodium chloride to obtain low-salt chilli embryos; mixing the sweet petals with the low-salt chili embryos, and adding an emulsifying active medium to obtain soy sauce mash; performing staged temperature-controlled fermentation and normal-temperature solarization curing on the soy sauce mash; and grinding and sterilizing the fermented and cured material to obtain a finished product of the organic chili oil bean halves. The preparation method comprises the following steps: pre-dispersing rapeseed oil into fine liquid drops by using active yellow mustard micro powder; the calcium carbonate buffering agent releases calcium ions in response to the acidity change of the system, pectin in chili is induced to be subjected to a cross-linking reaction, a three-dimensional gel network is constructed in soy sauce mash, dispersed oil drops are physically embedded, the oil drop merging and migration resistance is increased, and the oil separation rate of the product in the storage process is reduced.

The invention provides a method for preparing an edible mushroom culture medium from agricultural waste biomass and application, and belongs to the technical field of agricultural resource utilization and edible mushroom culture. The edible fungus culture medium provided by the invention is prepared from the following components in parts by mass: 10 to 20 parts of wood dust, 15 to 30 parts of sawdust, 15 to 30 parts of corn straw, 20 to 30 parts of algae waste, 30 to 50 parts of cottonseed hull, 3 to 10 parts of chitosan, 3 to 10 parts of humic acid, 1 to 3 parts of gypsum, 1 to 3 parts of lime and 0.3 to 1 part of compound strain. By adopting the edible mushroom culture medium disclosed by the invention, the yield and the quality of mushrooms can be remarkably improved, and the quality of the mushrooms is effectively improved due to the addition of the algae waste, the humic acid and the chitosan. Meanwhile, the edible mushroom culture medium can also be used for cultivating other types of edible mushrooms such as oyster mushrooms and pleurotus eryngii, and the yield of the edible mushrooms is increased.

A locking structure for a banana canopy sunshade is specifically provided, and belongs to the field of banana canopy sunshades. The locking structure for the banana canopy sunshade is assembled on an adjustment sleeve. By cooperation between the insertion rod and the crank, the locking structure for the banana canopy sunshade solves the following problem: During adjustment of a height of the existing banana canopy sunshade on a support rod, a bolt needs to be used to fix the banana canopy sunshade on the support rod. As a result, it is more tedious in the adjustment of the banana canopy sunshade on the support rod, the operating intensity of a user is increased, and the operating efficiency is affected.

A method for producing, without the help of a substrate, a plurality of rooted cuttings includes inserting at least one unrooted cutting into pockets arranged successively in a longitudinal direction of a strip element. Each pocket has an opening at a top side facing a transverse direction and a bottom side that is at least partially closed. The strip element is formed at least in part of biodegradable material having a liquid retaining capacity of at least about 100 g liquid per 100 g of biodegradable material dry weight. The strip element has first and second wall-forming members fixed to each other in a spacer area adjacent each pocket and arranged to at least partly overlap in the longitudinal direction and to not fully overlap in the transverse direction. The first wall-forming member extends past the second wall-forming member in the transverse direction at the top side of each pocket.

The invention discloses an intelligent mango fertilizing method. The method comprises the following steps: arranging a drip irrigation pipeline connected with a water and fertilizer mixing device in a drip irrigation area; canopy images including visible light and near-infrared band information of leaves, flower buds, flowers and fruits are periodically collected through a multispectral imaging device; visual features and spectral features are extracted based on an image processing algorithm, the visual features comprise leaf color distribution, form thickness indexes, flower bud density, flower coverage rate and fruit volume ratio, and the spectral features are near-infrared reflectivity ratios of leaf and flower and fruit areas; matching a growth stage standard library according to the characteristic data, judging a flower bud differentiation stage, a flowering stage or a fruit expansion stage, and calling a corresponding stage judgment model to identify a nutrient and moisture deficiency state; and dynamically adjusting the nutrient concentration and dosage of the drip irrigation liquid according to the judgment result. The method is used for accurate water and fertilizer management of mango planting, a fertilization decision is optimized through multi-source data fusion and closed-loop regulation, and the response capability in a complex nutrient demand scene is improved.

A small intelligent Chinese cabbage harvester comprises a vehicle body, a harvesting mechanism is arranged at the front end of the vehicle body, a collecting box is arranged on the vehicle body, and the harvesting mechanism comprises a first conveying module, a soil loosening tool rest, a vegetable harvesting shifting rod module and a positioning module. The first conveying module and the vehicle body are obliquely assembled, the lower end of the first conveying module is located at the front end of the vehicle body, and the higher end of the first conveying module is higher than the collecting box. The soil loosening tool rest is fixedly assembled with the vehicle body, and the front end of the soil loosening tool rest exceeds the lower end of the first conveying module. The number of the vegetable collecting shifting rod modules is two, and the two vegetable collecting shifting rod modules are located on the two sides of the first conveying module respectively. The positioning module is assembled and fixed to the vehicle body and used for positioning the positions of Chinese cabbages. Compared with the prior art, the method has the advantages that the method is suitable for small-scale planting in rural areas, and the mechanization level of small-field-mu agriculture can be improved. And the harvested Chinese cabbages have no damage on skins, and the shelf life is greatly prolonged.

A glove and method of manufacture thereof. The glove includes a wrist region, a palm region extending outwardly from the wrist region, and a plurality of digit regions extending outwardly from the palm region. A front surface of the palm region and a front surface of the plurality of digit regions will be contacted by an object when the object is gripped in the hand of a user wearing the glove. A first texture is provided on the front surface the palm region and a second texture is provided on the front surface of the plurality of digit regions. The first texture and second texture are different from one another. In one embodiment, a sand pattern is micro-etched into the palm region and a raised diamond pattern is molded into the plurality of digit regions. Gripping zones are molded into the rear surface of the digit regions.

The invention belongs to the technical field of agricultural image recognition and intelligent direction adjustment, and discloses a ginger direction adjustment and plant spacing control method and system based on instance segmentation, and the method comprises the steps: training improved YOLO11-seg through collecting a stacked ginger seed data set, and obtaining the mask information of ginger blocks and ginger buds; and obtaining the three-dimensional coordinates of each target ginger seed in a camera coordinate system in combination with the depth image after the repair algorithm is used. According to the method, seed taking priority ranking is carried out on a plurality of ginger targets based on a multi-factor scoring function, and the direction adjusting angle and the plant spacing correction distance for controlling ginger seed placement are solved through the relative position relation between ginger buds and ginger blocks. According to the method, the ginger stacked in the box can be accurately identified, the direction adjusting placement parameters are obtained, and the method can be used in agricultural scenes such as intelligent seeding, so that manual seeding is replaced, the labor cost is reduced, the seeding efficiency and quality are improved, and the fine agriculture requirements are met.

The invention discloses a comprehensive treatment method of lotus seeds, and belongs to the technical field of deep processing of agricultural products. The method comprises the following steps: collecting dry shell lotuses and sending to step S2; s2, grading the lotus seeds with the dry shells, shelling the lotus seeds with a shelling machine, gathering the lotus seeds, winnowing the lotus seeds, and sending the lotus seeds to the step S3; s3, carrying out color sorting by adopting a color sorter, and sending qualified red lotus seeds to step S4; the shelled lotus seeds are sent to the step S2; the semi-finished product is sent to step S5; s4, the red lotus seeds are manually selected, and red lotus seed products are obtained; s5, grading the semi-finished product, removing cores, gathering, screening out lotus cores to obtain core-removed red lotus seeds, and respectively sending the core-removed red lotus seeds to step S6 and / or S7; s6, screening and manually selecting the red lotus seeds without cores to obtain red lotus seed products without cores; s7, grading the red lotus seeds without the cores, grinding the red lotus seeds, collecting the red lotus seeds and sending the red lotus seeds to the step S8; and S8, performing color sorting on the polished lotus seeds, and then performing screening and manual selection to obtain white lotus seed products.

The invention relates to a method for identifying the variety and phenotype of a mature fruit based on deep learning, and the method comprises the steps: S1), building an image data sample set of the mature fruit, which comprises the image data of a plurality of mature fruit variety samples, the image data of phenotype samples of corresponding fruit varieties, and corresponding labeling information; step S2), taking the YOLOv8m network model as a basic model to construct an improved YOLOv8m-MLCA model; s3) training the YOLOv8m-MLCA model by using the image data sample set of the mature fruits; and S4) inputting a mature fruit image into the trained YOLOv8m-MLCA model, and outputting the variety and phenotype result of the mature fruit.

A factory shiitake mushroom picking robot, comprising a moving platform, a base (100), a lifting / lowering device (200), a mushroom stick gripping device (300) and a shiitake mushroom picking device (400), wherein the base (100) is connected to the moving platform, the lifting / lowering device (200) is connected to the base, the mushroom stick gripping device (300) is connected to the lifting / lowering device (200), and the shiitake mushroom picking device (400) is connected to the base (100). The mushroom stick gripping device (300) is used for removing mushroom sticks from a mushroom rack (4). Mushroom stick gripping across different layers is achieved by means of the lifting / lowering device (200). The shiitake mushroom picking device (400) comprises a robotic arm (402) and an end effector (403). Image data of the mushroom sticks is collected by three depth cameras, shiitake mushrooms to be picked are identified by means of multi-view target matching, and quality grade classification is carried out, to achieve graded picking. Also disclosed are a vision-based graded picking method, a shiitake mushroom detection and grading method based on multi-view fusion, and a storage medium for executing the steps of the corresponding methods. The technical problems of existing automated shiitake mushroom picking robots, including low picking efficiency, low degree of automation, susceptibility to damaging mushroom caps and mushroom sticks, and the inability to accurately identify mature shiitake mushrooms are solved.

The invention is suitable for the technical field of ganoderma lucidum cultivation, and provides a ganoderma tsugae and leukoderma lucidum cultivation and planting device and method.The ganoderma tsugae and leukoderma lucidum cultivation and planting device comprises a cultivation box, and an isolation frame is fixedly installed in the cultivation box so that the interior of the cultivation box can be isolated into a plurality of independent cultivation cavities; a plurality of pick-and-place openings are formed in one side of the cultivation box and correspond to the multiple cultivation cavities respectively, cultivation drawers are arranged in the multiple cultivation cavities in a drawing mode and used for containing culture media to cultivate hyphae, and the cultivation drawers can pass through the pick-and-place openings. According to the ganoderma tsugae and leukoderma lucidum cultivation and planting device and method, the cultivation box is divided into the multiple cultivation cavities through the isolation frames, each cultivation cavity is provided with an independent taking and placing opening, physical isolation of a hypha cultivation environment is achieved, cross contamination is avoided, the hoisting plate is fixed to the lower portion of the sliding piece, and a camera and a sterilizing lamp are carried. And the hyphae in the cultivation drawer can be monitored in real time and dynamically disinfected.

The utility model discloses a cultivation frame which comprises a windproof base assembly. The supporting rod is connected to the windproof base assembly; the supporting rod is sleeved with the first support, the distance between the first support and the bottom end of the supporting rod is larger than or equal to m, and the diameter of the first support is larger than or equal to 1.2 m; the second support is connected to the supporting rod in a sleeving mode, the distance between the second support and the bottom end of the supporting rod is larger than or equal to 1.8 m, and the diameter of the first support is larger than or equal to 0.6 m; the first support and the second support each comprise a plurality of support rods, and the support rods are arranged in an outward diverging mode with the axis of the supporting rod as the center. The cultivation frame provides a stable and reliable standardized cultivation frame, the cultivation condition and growth environment of the schisandra chinensis are improved, healthy growth of the schisandra chinensis is promoted, and the stability, yield and quality of the result are improved.

A system for the automated evaluation of tobacco leaves, comprising: • a mechanical feeding module (201) configured to feed individual tobacco leaves one after the other; • a controlled imaging chamber (202) equipped with a high-resolution camera and calibrated light sources to capture detailed images of tobacco leaves under standardized lighting conditions; • a color sensor (203) configured to extract colorimetric data from the tobacco leaves, including, but not limited to, RGB values and hue information; • a processing unit (204) comprising one or more processors and memories configured to: i) performing image pre-processing including noise reduction and contrast enhancement, (ii) Execution of segmentation algorithms to isolate the leaf from the background, (iii) Extraction of visual features such as size, shape, texture and color uniformity from the images, (iv) Analyzing the sensor data using statistical or machine learning models to determine quality parameters, (v) Integration of the extracted image features and colorimetric data into an evaluation algorithm based on predefined quality standards, (vi) to assign a quality mark to each tobacco leaf on the basis of the analysis; • an output module (205) configured to display the classification result in real time via an LED screen or a digital interface; • a storage module (206) configured to store classification results for future reference and analysis; • and an Internet of Things (IoT) communication module (207) that enables remote access, monitoring and control of the classification process.

The invention relates to the technical field of plant tissue culture, and provides a method for improving the embryo emergence rate of free microspores of non-heading Chinese cabbage by using 5-AzaC, and in the microspore culture stage, 5-AzaC with the concentration of 0.005-0.020 mg is added into a microspore culture medium. The invention designs a method for increasing the embryogenesis rate of free microspores of the non-heading Chinese cabbage by adding 5-AzaC into a microspore culture medium of the non-heading Chinese cabbage. According to the method, the embryogenesis rate of the free microspores of the non-heading Chinese cabbage can be remarkably improved, a non-heading Chinese cabbage microspore culture system is more easily established, the haploid breeding efficiency is improved, and the breeding process is accelerated.