1304 results about "Tea tree" patented technology

The invention provides a clamping force correction method and system based on an oil-tea tree branch clamping manipulator and a storage medium, and relates to the technical field of mechanization and automation, and the method comprises the steps of monitoring and analyzing oil-tea tree branches, an operation environment and a manipulator motion state, collecting key parameters, generating a clamping adaptability index and a clamping stability index, and correcting the clamping force of the oil-tea tree branches; the clamping adaptability index and the clamping stability index are combined, and a clamping control index is calculated; constructing a deep learning model, taking the historical key parameters as a training set, taking the corresponding historical manipulator clamping force as a label, training the model to obtain a clamping force prediction model, inputting the key parameters collected in real time into the model, outputting the predicted clamping force, combining the predicted clamping force with a clamping control index, and calculating the final clamping force. On the basis of obtaining key parameters in real time, the clamping adaptability index and the clamping stability index are generated, then the clamping control index is calculated, and the purpose of dynamically adjusting the clamping force is achieved.

The invention relates to the technical field of tea garden disease and insect pest monitoring, in particular to a tea garden disease and insect pest monitoring method and system based on photovoltaic light supplement. The method comprises the following steps that photovoltaic light supplementing equipment is arranged, and tea garden environment data are obtained; carrying out photovoltaic light supplement operation according to the tea garden environment data, and carrying out tea tree image acquisition through camera equipment to obtain tea tree image data; tea tree trunk feature extraction and tea tree tea feature extraction are carried out according to the tea tree image data, and tea tree trunk feature data and tea tree tea feature data are obtained; performing pest assessment according to the tea tree trunk feature data and the tea tree tea feature data to obtain pest assessment data; and performing pest distribution generation according to the pest evaluation data, the tea tree trunk feature data and the tea tree tea feature data to obtain pest distribution data. According to the invention, an intelligent and automatic tea garden disease and insect pest monitoring and prevention and control system is formed by combining photovoltaic light supplement and disease and insect pest simulation.

The invention discloses a tea tree CsU3 gene promoter and application thereof, and belongs to the technical field of plant biotechnology and gene engineering. Tea tree RNA polymerase III type promoters-tea tree endogenous U3 gene promoters CsU3a, CsU3b, CsU3c and CsU3d are successfully cloned for the first time, a tea tree U3 gene promoter activity detection carrier is successfully constructed, the transcriptional activities of the four CsU3 promoters are compared through instantaneous tobacco leaf conversion, GUS dyeing and GUS enzyme activity determination, and the CsU3 gene promoter activity detection carrier can be used for detecting the activity of the tea tree U3 gene promoter. CsU3a and CsU6b promoters with strong transcriptional activity are selected to be used for constructing a tea tree gene editing carrier, the feasibility of the promoter applied to a tea tree CRISPR / Cas9 gene editing system is verified in a tea tree protoplast, and CRISPR / Cas9 mediated tea tree genome targeted editing is realized.

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 an SSR (Simple Sequence Repeat) core primer combination and a kit for identifying a tea tree variety 'swan gooses 12' and application of the SSR core primer combination and the kit. According to the invention, three pairs of SSR core primers are screened by using an SSR fluorescence labeling detection technology, and the three pairs of SSR core primers can rapidly identify and detect the 'Yangou 12' from other tea tree varieties. The SSR core primer combination disclosed by the invention can be used for identifying the variety of the swan goose 12, the uncertainty of identification based on external morphological characteristics is overcome, the result is reliable and visual, the detection efficiency is high, the operation is simple and convenient, and meanwhile, the popularization, utilization and protection of the variety of the swan goose 12 are also facilitated.

Present invention teaches the method of using a keratin hydrolysis peptide (“KHP”) solution to enhance the yield and quality of tea leaves. By selectively choosing specific weights of feathers and water, and treating the mixture to a high-temperature high-pressure hydrolysis process, the resulting solution is confirmed to contain at least 253 peptides and then apply to the tea trees either by infusing to the soil or by leaf spray at certain growth stages. Optionally, the KHP solution can be diluted by water, as disclosed in the specification, for soil infusing or leaf spraying.

The invention relates to the technical field of film material preparation, and discloses a polylactic acid antibacterial packaging film and a preparation method thereof, the polylactic acid antibacterial packaging film comprises the following raw material components by weight: 60-80 parts of polylactic acid, 10-20 parts of polyvinyl alcohol, 10-20 parts of nano zinc oxide, 0.5-1.5 parts of nano cellulose, 1-3 parts of an antibacterial agent, and 10-15 parts of corn starch; the antibacterial agent is prepared from the following components in parts by weight: 5-10 parts of carboxymethylated chitosan and 0.5-2 parts of a dynamic disulfide bond cross-linking agent, the substitution degree of the carboxymethylated chitosan is greater than or equal to 80%, the antibacterial agent is prepared from tea tree essential oil and eugenol, and the dynamic disulfide bond cross-linking agent is bis (3-aminopropyl) disulfide. By adopting a composite system of carboxymethylated chitosan and a dynamic disulfide bond cross-linking agent, the technical effects of humidity-triggered self-repairing and mechanical property synergistic improvement are achieved, and compared with a packaging film with a single polymer base material in the prior art, the problem of antibacterial failure caused by mechanical damage is solved.

The invention relates to a double-arm intelligent collaborative tea picking method and device based on multi-strategy dynamic scheduling, and belongs to the field of robot automation. The method comprises the following steps: obtaining three-dimensional coordinate information of a target picking point; identifying and positioning potential branch and leaf shields, and generating space data of the shields; the method comprises the following steps: simultaneously projecting a shielding object and a clamping jaw geometric contour under an expected grabbing pose on a plane where a target picking point is located, analyzing the overlapping amount, the proximity and / or the density of the projections of the shielding object and the clamping jaw geometric contour, and generating a standardized shielding evaluation index; comparing the shielding evaluation index with a preset decision threshold, and if the shielding evaluation index is greater than the preset decision threshold, executing a master-slave collaborative picking method based on multi-stage positioning; otherwise, executing the parallel picking method based on dynamic collision-free region division. The problems that a traditional single-arm tea picking robot is low in operation efficiency, high in collision risk and insufficient in intelligent degree in a dense and unstructured tea tree environment are solved.

The invention discloses an SSR (Simple Sequence Repeat) core primer combination for identifying a tea tree variety 'Danxia No.1', a kit and application. According to the invention, three pairs of SSR core primers are screened by utilizing an SSR fluorescence labeling detection technology, and the three pairs of SSR core primers can be used for rapidly identifying and detecting 'Danxia No.1' from other tea tree varieties. The SSR core primer combination disclosed by the invention can be used for identifying the variety of Danxia No.1, overcomes the uncertainty of identification based on external morphological characteristics, is reliable and visual in result, high in detection efficiency and simple and convenient to operate, and is also beneficial to popularization, utilization and protection of the variety of Danxia No.1.

The invention discloses a tea tree liquid phase chip and application thereof, and relates to the technical field of molecular detection. The invention discloses a tea tree liquid phase chip and application thereof, according to site screening requirements and probe design principles, the tea tree liquid phase chip comprises 5781 SNP sites, and tea tree resource genetic typing can be realized based on a target interval genome sequence liquid phase capture accurate positioning sequencing typing technology. The tea tree liquid chip can realize low-cost genetic typing, is mainly specific to tea trees, can realize variety identification and genetic relationship analysis of the tea trees, scientifically guides hybridization improvement work of the tea trees and assists protection and development of germplasm resources of the tea trees, and has relatively high application values in multiple fields of tea tree breeding. The tea tree liquid phase chip can be used for tea tree genetic diversity evaluation, germplasm resource and genetic relationship identification, genetic map construction and gene localization, whole genome association analysis and tea tree molecular marker assisted breeding.

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 belongs to the field of biological organic fertilizers, and discloses a special organic selenium-rich fertilizer for grapes as well as a preparation method and application thereof. The fertilizer is prepared from the following raw materials in percentage by mass: 0.05-0.2% of a selenium complex, 2-15% of a stabilizer, 15-25% of a microbial fermentation product, 0.5-2.0% of a natural plant extract and the balance of auxiliary materials, totaling 100%. The microbial fermentation product is microbial fermentation liquid obtained by fermenting bacillus tequilensis and cyanobacteria; the auxiliary material is obtained by mixing sodium alginate and maltodextrin; the natural plant extract is obtained by mixing azadirachtin, sophocarpidine, tea tree essential oil and cnidium lactone. Through the synergistic effect of the microbial fermentation product, the natural plant extract and the auxiliary materials, the industrial problem that in the prior art, a selenium fertilizer can only improve the selenium content of grapes, but cannot effectively improve the disease resistance and insect pest resistance of the grapes and slow down selenium element loss is solved, and the double improvement of the grape quality and the selenium content is achieved.

The invention relates to a tea-picking robot autonomous navigation method based on tea ridge composite boundary identification and driving area adjustment, and belongs to the technical field of robot navigation. The method comprises the steps that tea ridge growth state information is evaluated, and a global path planning strategy is made; a root-ground intersection ground navigation datum line and lateral boundary constraints are established, the ground navigation datum line, the lateral boundary constraints and tea tree growth density and distribution characteristics are integrated, a tea ridge three-dimensional drivable road network model is established, and key geometric characteristics of the model are analyzed to establish an adaptive risk assessment system. Dividing the drivable area into areas with different risk levels; and establishing a multi-objective optimization function in combination with the risk region distribution diagram, fusing the multi-objective optimization function through an exponential weighted fusion mechanism, and generating an optimal navigation path under the risk gradient constraint. Guiding of intelligent navigation of the tea garden is achieved, the tea leaf picking efficiency and quality are improved, and technical support is provided for mechanical and intelligent picking of the tea garden.

The invention relates to the technical field of agricultural management, in particular to a tea garden temperature and humidity regulation and control method based on photovoltaic light supplement. The method comprises the following steps: acquiring temperature and humidity data of a tea garden; obtaining tea tree distribution data, and obtaining a tea tree temperature and humidity environment model according to the tea tree distribution data and the tea garden temperature and humidity data; obtaining photovoltaic parameter data, and performing photovoltaic light supplement simulation according to the photovoltaic parameter data and the tea tree temperature and humidity environment model to obtain tea tree temperature and humidity photovoltaic light supplement data; performing temperature and humidity light supplement coupling relation calculation according to the tea tree temperature and humidity photovoltaic light supplement data to obtain temperature and humidity light supplement coupling relation data; and obtaining tea tree variety data, and performing light supplement effect optimization matching according to the temperature and humidity light supplement coupling relation data and the tea tree variety data to obtain light supplement effect optimization data. The light supplementing intensity and duration can be dynamically adjusted according to environment changes and tea tree growth requirements, and the utilization efficiency and the environment regulation and control effect of a photovoltaic system are improved.

The invention discloses an automatic irrigation control system and method for a tea garden based on photovoltaic power generation, and particularly relates to the technical field of agricultural irrigation, photovoltaic power generation capacity, tea tree growth irrigation cycle and meteorological condition information are collected in real time through multiple types of sensors, and formatting processing is carried out to ensure data availability; information lag degree analysis is carried out based on the processed data, and feedback lag early signs in photovoltaic power generation and tea garden irrigation cooperative control are identified; according to the lag signs, extracting power supply fluctuation, tea tree irrigation demand urgency and climate environment change characteristics, and generating corresponding fluctuation indexes, demand indexes and change indexes; dividing a feedback sampling period into a high-quality period or a low-quality period by using fuzzy logic, and dynamically adjusting the sampling frequency based on the current sampling frequency in the low-quality period; the feedback sampling frequency can be dynamically adjusted, and the stability and the response speed in the cooperative control process of photovoltaic power generation and tea garden automatic irrigation are effectively improved.

The invention discloses a tea picking net covering device and a working method thereof. The tea picking net covering device comprises a winding drum, a winding drum frame and a sunshade net wound around the winding drum. A plurality of bags are symmetrically arranged on the two sides of the sunshade net at equal intervals. A guide rail assembly matched with the bag body is arranged on the winding drum frame. A liquid injection pipe for injecting liquid into the bag body is movably arranged on the winding drum frame; an adsorption part is arranged on the liquid injection pipe, and a butt joint plate matched with the adsorption part is arranged on the side, away from the sunshade net, of the bag body, so that precise liquid injection of the liquid injection pipe to the bag body is achieved after the butt joint plate is matched with the adsorption part; the flushing bag body is arranged on the sunshade net, and water is injected into the bag body during net covering, so that the bag body is vertically hung and fixed through the self weight of the bag body, manual operation is not needed, the net covering efficiency is improved, and meanwhile the initial weight of the sunshade net during winding is reduced; meanwhile, capsule liquid is recycled as an irrigation water source during net drawing, the utilization rate of water resources is increased, transpiration stress of the tea trees is relieved synchronously, and the irrigation effect is improved.

The invention discloses a tea tree germplasm resource garden management method, which adopts a tea tree germplasm resource garden management system consisting of a data storage module, a data processing module, a system operation module, a system display module and an external port module. Through overall plane data and block distribution data of a tea tree germplasm resource garden, meteorological station and soil moisture content information data, basic information data of tea tree germplasm resources entering the garden, germplasm resource agronomic characteristic original data and data processing, agronomic character mean values of vigorous tea tree germplasm resource states in the fourth, fifth and sixth years are converted into standard values; and comparing agronomic character data of the seventh year with a standard value, carrying out fixed-period tea tree data acquisition, and combining a scientific management mode of resource nursery soil and climate factors to realize effective management of dynamic growth of resources of the resource nursery.

The invention belongs to the technical field of microorganisms, and discloses a soil microorganism for promoting the growth of tea trees and improving the quality of tea leaves, the strain name is Streptomyces cerevisiae SI-3B1, the preservation unit is Guangdong Microbial Culture Collection Center, the preservation date is September 13, 2024, and the preservation number is GDMCC No.65129. The invention further discloses a preparation method of the soil microorganism for promoting the growth of the tea trees and improving the quality of the tea leaves. The microorganisms effectively improve the content of theanine and water extract of fresh leaves of one bud and two leaves of large-leaf spring tea, summer tea leaves are thicker, and the biomass of the leaves is increased.

The invention belongs to the technical field of biological medicine, and particularly relates to a luliconazole composition containing essential oil, cream and a preparation method and application of the luliconazole composition. The present application provides a composition containing tea tree essential oil that promotes the skin permeability of luliconazole and has an antibacterial function, the tea tree essential oil and luliconazole form a synergistic antifungal effect, the transdermal absorption is enhanced by a natural terpene component, and the irritation to the skin is significantly reduced.

The invention discloses paenibacillus polymyxa K17 for preventing and treating diseases, the preservation number of the paenibacillus polymyxa K17 is CGMCC (China General Microbiological Culture Collection Center) No.33366, and the paenibacillus polymyxa K17 is classified and named as Paenibacillus polymyxa K17. The strain has a good anti-antagonism effect on 16 different plant pathogenic fungi from 8 crops; particularly, the antibacterial effect on various leaf spot diseases of tea trees is superior to that of part of common biocontrol strains such as Pristeria aryabhattai 11, Bacillus tequilensis R2 and the like. The control effect on tea tree leaf spot and tea tree anthracnose is higher than 70%, the control effect on black spot of picked tomatoes is 68%, the control effect is equivalent to that of various chemical pesticides, and the method has extremely high application prospects and market value in field biological control and postharvest preservation of plant diseases. Meanwhile, the strain K17 has the plant growth-promoting characteristics of secreting multiple extracellular hydrolases, dissolving inorganic phosphorus and mineral potassium and biologically fixing nitrogen, and has the potential of preparing plant growth-promoting microbial agents or bacterial fertilizers.

The invention discloses an application of a 2-cyano-3-amino acrylate compound in prevention and treatment of fungal diseases caused by pestalotiopsis, and the compound has general ultrahigh bacteriostatic activity on pestalotiopsis fungi in vitro, including pestalotiopsis, pestalotiopsis neospecies and pestalotiopsis pseudospecies. Wherein the effective medium concentration (EC50) range of the phenamacril to 56 pestalotiopsis-like pathogenic bacteria picked from tea trees, peach trees and grapes is 0.1455-0.6025 [mu] g / mL, the average value is 0.2800 [mu] g / mL, and the standard deviation is 0.095 [mu] g / mL. According to the scheme of spraying the JS399-19 suspending agent to treat the tea trees, the tea yield can be remarkably increased, and a basis is provided for preventing and treating diseases caused by pestalotiopsis, new pestalotiopsis and pseudopestalotiopsis in a tea garden and monitoring drug resistance.

The invention discloses a tea leaf trimmer with a telescopic adjusting mechanism and a trimming process thereof, and the tea leaf trimmer comprises a holding part for an operator to hold and control; the driving unit is used for driving the pruning machine to perform pruning operation; the pruning cutter is in transmission connection with the driving unit and is used for pruning branches and leaves of the tea leaves; the holding part comprises a frame body, and a supporting plate for supporting a trimmed tea tree is arranged on the frame body; the supporting plate is provided with a plurality of walking units capable of being transversely adjusted in a telescopic mode. The walking unit is in transmission connection with the driving unit, and the trimmer climbs on the surface of a trimmed tea tree after being driven; according to the tea trimmer with the telescopic adjusting mechanism, the traveling unit is arranged on the trimmer, so that the trimmer can crawl on the surface of a trimmed tea tree when the trimmer needs to trim, and manual labor is saved.

The invention discloses a smart tea garden planting management system and method. The smart tea garden planting management system comprises a multi-source sensor network, an edge computing gateway, an AI decision unit and a control execution unit. The soil fertility and pest and disease damage are monitored in real time through a high-precision sensor, and precise recognition of disease spots and pests is achieved in combination with a YOLOv5 algorithm; the AI decision-making unit dynamically generates variable fertilization and graded prevention and control instructions according to the growth stages of the tea trees, and controls the water and fertilizer integrated device and the biological prevention and control equipment to execute operation. The system supports adaptation of multiple tea types, compatibility of new and old facilities and stable operation in an extreme environment, the fertilizer utilization rate is remarkably increased, the pesticide usage amount is reduced, and the system is suitable for intelligent and standardized management of large-scale tea gardens.

The invention belongs to the technical field of dendrobium planting, and particularly relates to a method for grafting dendrobium to a tea tree. According to the method, the dendrobium seedlings are fixed on the perennial tea tree trunks through the air-permeable material, the fixed positions are kept moist by spraying water every day, proper environment temperature and humidity are limited, the roots of dendrobium can be kept breathable and moist, and the survival rate of dendrobium is increased. In addition, the canopy layer of the tea tree can achieve the effects of sun shading in summer and heat preservation in winter. Results of the embodiment show that by means of the method, after grafting is conducted for three months, the survival rate of the dendrobium nobile is 100%, fresh leaves of tea trees can be picked in spring every year to be processed into famous high-quality tea, branches can be picked after the dendrobium nobile grows for three years to be processed into commercial dendrobium nobile, and double economic benefits are achieved.

The invention discloses a tea tree CsBZR1 gene and cold resistance application thereof, the tea tree CsBZR1 gene is a core gene in a tea tree brassinolide signal transduction pathway, and the nucleotide sequence of the tea tree CsBZR1 gene is shown as SEQ ID NO.1 in a sequence table. According to the application of the CsBZR1 gene of the tea tree to regulation and control of cold resistance of the tea tree, the low-temperature tolerance of the tea tree can be reduced by inhibiting expression of the CsBZR1 gene in vivo, and the cold resistance of arabidopsis thaliana is improved by overexpression of the CsBZR1 gene. Expression of CsBZR1 of a tea tree under a low-temperature condition is directly induced to be up-regulated by low-temperature stress of the tea tree, cold resistance of arabidopsis thaliana is improved by overexpression of the gene in the arabidopsis thaliana, and low-temperature damage of the tea tree can be remarkably aggravated by inhibiting expression of CsBZR1 in the tea tree through an antisense oligonucleotide technology. The cloning of the gene not only is beneficial to determining the effects of brassinolide and the signal transduction core factor BZR1 thereof in the cold-resistant process of the tea tree, but also is beneficial to promoting the genetic improvement process aiming at enhancing the cold resistance of the tea tree.

The present invention discloses a method for automatically and highly accurately extracting the vector of tea row boundaries based on UAV images of tea gardens, comprising the following steps: obtaining UAV multispectral images, annotating the region of interest to obtain the tea garden plot ROI mask; performing binary classification processing based on threshold segmentation to obtain the initial classification image of tea trees - soil; extracting the boundary contour and detecting straight lines from the initial classification image of tea trees - soil, and calculating the main direction slope of the tea rows of tea trees; generating parallel sampling paths based on the main direction slope of the tea rows and classifying them; grouping the parallel sampling paths according to the same category to obtain a scan line group of continuous tea tree or soil categories; filling the soil regions therein to complete the highly accurate extraction of the tea row boundaries. The method of the present invention realizes the highly accurate vector extraction of tea row boundaries by optimizing the segmentation boundary and eliminating discrete misclassified patches, and overcomes the problem that the tea row boundaries are unclear in the existing extraction of tea rows in tea gardens when there are missing tea trees, withered branches, and discolored leaves.

The invention belongs to the technical field of tea processing, and particularly relates to a processing method for simultaneously improving the flower fragrance concentration and red liquor color brightness of congou black tea. The method comprises the following steps: selecting fresh tea leaf raw materials; performing low-temperature and low-humidity ultraviolet irradiation withering; rolling for a long time for the first time; performing primary long-time fermentation; performing secondary short-time re-rolling; performing short-time low-temperature high-oxygen fermentation for the second time; and drying the tea leaves subjected to the secondary short-time low-temperature high-oxygen fermentation with gross fire and full fire to obtain a medium-and-small-leaf congou black tea product with flower fragrance and high tea pigment. According to the method provided by the invention, a low-temperature low-humidity ultraviolet irradiation withering technology, a re-kneading fermentation technology and a short-time low-temperature high-oxygen fermentation technology are created on the basis of a traditional processing technology of the congou black tea, new technologies are fused into a traditional processing flow of the congou black tea, and the congou black tea is obtained by organically combining the traditional processing technology and the new technologies. Aiming at middle and small leaf tea trees, the invention provides a processing method for simultaneously improving flower fragrance concentration and red liquor color brightness of congou black tea.

The invention relates to a tea leaf picking point positioning method based on virtual and real depth fusion, and belongs to the technical field of intelligent tea leaf picking. According to the method, through combination of an RGB-D camera, deep learning and biomorphological modeling, accurate positioning of a picking point and picking suitability in a complex tea garden environment is realized. According to the method, through multi-sensor information fusion, the growth state, morphological characteristics and environmental data of the tea leaves are obtained, machine vision and a deep learning model are combined, picking key points are accurately positioned, the picking opportunity is judged through a growth model, and therefore a more efficient and more intelligent tea leaf picking solution is provided. Through deep learning and biomorphic modeling technologies, growth characteristics and real-time image data of tea trees are comprehensively utilized, the accuracy and efficiency of tea leaf picking are greatly improved, and intelligent upgrading of the tea industry is further promoted.

The invention discloses an acne-removing essence and a preparation method thereof, and particularly relates to the technical field of skin care products, the acne-removing essence comprises the following components by mass: 0.5-5% of salicylic acid; 1%-5% of tartaric acid; 2%-6% of nicotinamide; 0.5%-2% of colloidal sulfur; 1.5%-3% of tea tree essential oil; 1%-2% of hyaluronic acid; 0.5%-1% of ceramide; 1%-3% of glycerol; 1%-2% of trehalose; the salicylic acid is used for penetrating into skin, helping to relieve dead skin cells, reducing inflammation and accelerating skin renewal; the tartaric acid is used for realizing a stripping effect, can remove aged cuticles on the surface of the skin and promote the generation of new cells, so that the problem of acnes is helped to be improved. The acne-removing essence prepared by the invention has a relatively good moisturizing effect, so that skin barrier can be well maintained, keratin metabolism is promoted, grease secretion is inhibited, acne is effectively prevented, inflammatory response of the acne is relieved, and the actual use effect of the acne-removing essence is relatively good.

The invention provides a CsERECTA gene-based tea tree leaf shape regulation and control method and a tea tree light utilization rate improving method, which are characterized in that a sequence of a tea tree gene is cloned to obtain a complete sequence; then, the CsERECTA is subjected to bioinformatics analysis, expression of a GUS reporter gene is started by constructing a plant expression vector and connecting a target fragment, and a recombinant plant vector is used for genetic transformation of tobacco, so that the function of the CsERECTA is verified; the character of the CsERECTA transgenic line is analyzed, the leaf shape is determined, the method capable of improving the leaf shape of the tea tree is obtained, and a foundation is laid for cultivating a new variety and improving the light utilization rate of the tea tree by using the CsERECTA gene.