453 results about "Tea garden" patented technology

The invention discloses a smart tea garden resource dynamic scheduling system and method integrated with environment monitoring, and the method comprises the following steps: S1, collecting environment and operation data, processing the environment and operation data, and generating a standardized data set; s2, carrying out discrete modeling and environment field generation, carrying out topological analysis on humidity and pest and disease damage intensity, judging abnormity and triggering local scheduling; s3, generating a task, resource and environment set, constructing a task-resource-environment hypergraph, establishing a time expansion graph and forming constraints; s4, dynamic game solving is introduced, and a scheduling scheme and a control instruction are generated; s5, issuing an instruction to an execution end, collecting an execution state and environment data, and forming a feedback data set; and S6, constructing a double-layer memory scheduling unit, and generating a parameter set of a next period. According to the invention, precise allocation and efficient management and control of tea garden resources are realized by fusing environmental monitoring and dynamic scheduling, so that the production efficiency is improved and ecological sustainability is guaranteed.

The invention discloses a tea garden soil improvement method based on microbial communities. The tea garden soil improvement method aims at improving soil fertility and tea tree yield by means of precisely screening beneficial microorganisms, optimizing culture conditions and the like. Firstly, soil samples are collected from a tea garden area, gene high-throughput sequencing is carried out, soil microbial community composition information is obtained, and beneficial microorganisms are screened out. Then, the breeding speed and biomass of the beneficial microorganisms are optimized by adjusting a culture medium formula. When the bio-fertilizer is prepared, besides concentrated bacterial liquid, an organic carrier, inorganic nutrient elements and humic acid serving as a stabilizer are also added, and a proper amount of trace elements and a plant growth regulator are added. In spring or autumn, according to the physicochemical property of the soil, the bio-fertilizer is uniformly spread and ploughed into the soil layer. After fertilization, soil physicochemical properties and tea tree growth conditions are regularly detected to evaluate the soil improvement effect and adjust the fertilization strategy according to the soil improvement effect. The method is beneficial for improving the tea garden soil health condition and improving the tea yield and quality.

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 relates to the technical field of tea garden fertilization, in particular to a soil loosening, ditching, fertilizing and soil covering all-in-one machine for tea garden land, which comprises a vehicle body, a handrail part fixedly connected to the top of the rear end of the vehicle body in the moving direction, and a controller; the top of the vehicle body is fixedly connected with a fertilizer box; a fertilizing pipe is fixedly connected to the bottom of the vehicle body and communicated with the bottom of the fertilizer box, an electromagnetic valve is communicated in the fertilizing pipe, and the controller is used for controlling operation of the electromagnetic valve; a soil loosening assembly for loosening soil, an adjusting assembly for adjusting the soil loosening depth of the soil loosening assembly and a ditching assembly for ditching the soil after soil loosening are arranged on the fertilization pipe; a V-shaped bracket is fixedly connected to the side wall of the fertilizing pipe, and a soil covering assembly for performing soil covering operation on the furrowed soil is arranged on the bracket. The soil loosening device can adjust the soil loosening operation depth through the adjusting assembly.

The invention relates to the technical field of selenium-rich white tea production, and discloses an intelligent control system and method for automatic production of selenium-rich white tea. The system comprises a selenium-rich white tea growth environment regulation and control module, a tea growth stage recognition module, a selenium content self-adaptive supply module, a production equipment cooperative control module and a quality closed-loop feedback module. The growth environment regulation and control module collects tea garden multi-region environment parameters and establishes a dynamic monitoring set; the growth stage identification module divides growth stage identifiers in combination with the environment parameters, the bud and leaf morphological image sequence and the growth cycle time sequence data; the selenium content self-adaptive supply module generates a supply scheme and an equipment control instruction set according to the growth stage identifier and the soil selenium content data; the production equipment cooperative control module is linked with related equipment to execute a cooperative operation time sequence control process; and the quality closed-loop feedback module generates a correction amount according to the finished product detection data, and feeds the correction amount back to the growth environment regulation and control module for parameter iterative updating.

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 a tea bud screening method based on multi-modal information fusion, which is characterized in that on the basis of multi-modal data acquisition, feature information of different modal data is integrated and analyzed through a mode of feature level fusion and decision level fusion by using a mode recognition technology, and an accurate tea bud recognition model is constructed. Finally, in combination with an automatic control technology, screening execution mechanisms such as a mechanical arm are controlled, and automatic screening and picking of the tea buds are achieved. The technology is mainly applied to the tea production process of a modern tea garden, and aims to solve the problems that traditional manual screening is low in efficiency and high in cost, and single machine vision screening is insufficient in accuracy. And an efficient and reliable technical solution is provided for large-scale and automatic production of high-quality tea leaves.

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 garden ditching and fertilizing all-in-one machine which adopts an electric crawler chassis which is independently driven on two sides, a fertilizing mechanism is located at the top of a whole machine frame, a ditching and earthing mechanism is located at the rear end of the whole machine frame, and the ditching depth can be adjusted by adjusting the length of a hydraulic telescopic rod; the control console is located at the front end of the whole machine frame and used for a driver to control the movement of the whole machine and the movement of all the mechanisms during driving, and meanwhile the ditching and fertilizing all-in-one machine for the tea garden can be controlled by selecting a wireless control mode under the condition that the road condition is simple. The ditching and fertilizing operation of the tea garden is more flexible; a wired and wireless combined remote control operation mode of ditching, fertilizing and earthing in the tea garden is realized; organic combination of the adjustable soil covering plate and the soil-splitting type fertilizing straight pipe is realized, and the soil crushing and covering link is more efficient; the ditching and fertilizing operation of the tea garden can be carried by a driver, and the complicated tea garden environment can be easily and timely adjusted in the operation process.

The present application relates to a kind of methods for mass propagation of tea corner miridae in laboratory, comprising the following technical steps: collecting tea garden tea corner miridae adult, cultivating fall kui seedling, putting seedling and leading insect, tea corner miridae habitat and feeding, mating and oviposition and nymph hatching and feeding.The present application uses fall kui seedling as the main body of feeding raw material, and the leaf of raw material is relatively thick, strong in harm resistance, not easy to dry, which helps to improve the hatching rate of tea corner miridae eggs, reduce the frequency of raw material supply and replacement, at the same time, the present application saves time and effort, can be realized in laboratory low cost and sustainability fast, efficient, mass propagation of tea corner miridae test insect source.

The invention relates to the technical field of intelligent tea garden management, and provides an intelligent tea garden service collaborative management system, which comprises a tourist picking reservation module used for receiving a reservation picking request of a tourist through a terminal and intelligently arranging autonomous picking time and region of the tourist; the picking behavior processing module is used for analyzing, processing and prompting picking behaviors of tourists; and the comprehensive management docking module is used for integrating all module data, generating a multi-dimensional report to be docked with the tea garden enterprise ERP system, generating a collaborative scheme of management personnel, planting personnel and customer service personnel, and completing collaborative management of data integration-role adaptation-decision landing. A full-chain tea garden management system from data acquisition and integration, growth and variety analysis to visual decision making is constructed, comprehensive improvement of yield increase, quality improvement, cost reduction and efficiency improvement of the tea garden is achieved by means of multi-source data fusion and intelligent technologies, economic benefits are enhanced, and the resource utilization efficiency and ecological sustainability are improved.

The invention provides a tea garden drought prediction method and system fusing LightGBM and LSVM in the technical field of smart agriculture. The method comprises the steps of S1, collecting a large amount of historical monitoring data to construct a data set; s2, the data set is analyzed through a Limma algorithm, a COX survival regression model, a GLM generalized linear model and an SHAP, and an environment factor correlation graph is obtained; s3, creating a tea garden drought prediction model; s4, dividing the data set into a training set, a verification set and a test set to train, verify and test the tea garden drought prediction model, and deploying the tea garden drought prediction model passing the test; and S5, collecting real-time monitoring data from the tea garden, inputting the data into the tea garden drought prediction model to obtain a tea garden drought prediction result, and displaying the tea garden drought prediction result on a visual interface. The tea garden drought prediction method has the advantages that the timeliness, accuracy and generalization ability of tea garden drought prediction are greatly improved.

The utility model relates to the technical field of tea garden trimmers, in particular to an electric bilateral trimmer for a tea garden. According to the technical scheme, a storage battery is installed on a rack, a steering shaft is rotatably installed on the rack, a handle is welded to the top end of the steering shaft, a front fork is inserted into the bottom end of the steering shaft, and a front wheel is rotatably installed on the steering shaft through the front fork; trimming blades are slidably installed on the two sides of the rack through a first connecting plate and a second connecting plate, sawteeth are arranged at the bottom ends of the trimming blades, a motor is fixed to the second connecting plate through a support, the support penetrates through the trimming blades and is fixedly connected with the motor, and an eccentric shaft is arranged at the output end of the motor; and the motor stirs the trimming blade through the eccentric shaft, so that the trimming blade performs lifting motion. The electric bilateral trimmer for the tea garden integrates the advantages of maneuverability, stability, flexibility, efficiency, humanization and the like, so that the electric bilateral trimmer for the tea garden is more suitable for complex trimming requirements in a tea garden environment.

The invention discloses a tea garden planting irrigation system which comprises a main water pipe, an irrigation branch pipe which extends downwards and is communicated with the main water pipe is arranged at the bottom of the main water pipe, and irrigation holes are formed in the peripheral wall of the irrigation branch pipe; the rotary sleeve is rotationally arranged on the periphery of the irrigation branch pipe in a sleeving mode, a center hole of the rotary sleeve is attached to the peripheral wall of the irrigation branch pipe, and a water outlet arc-shaped strip opening is formed in the position, corresponding to the height of the irrigation hole, of the rotary sleeve; the outer insertion pipe sleeves the periphery of the rotary sleeve and is provided with water outlets corresponding to the irrigation holes, the upper end of the outer insertion pipe is fixedly connected with the main water pipe, and the lower end of the outer insertion pipe is inserted into a soil layer; the rotating sleeve can rotate so that the irrigation hole can be communicated with the water outlet or the irrigation hole and the water outlet can be separated by the peripheral wall of the rotating sleeve. According to the tea garden planting irrigation system, the accuracy and uniformity of irrigation are improved, water resources are saved, the adaptability and flexibility of the system are enhanced, and an efficient and environment-friendly irrigation solution is provided for tea garden planting.

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 relates to the field of agricultural machinery, in particular to multifunctional tea garden weeding, soil loosening and fertilizing integrated mechanical equipment which comprises a mounting frame, a driving module is mounted at the bottom of the mounting frame, a weeding module, a soil loosening module and a fertilizing module are mounted at the top of the mounting frame, and the weeding module comprises a power part which is fixedly connected with the top of the mounting frame; an output shaft of the power part is connected with a roller, the outer side wall of the roller is fixedly connected with a plurality of wave-shaped blades, the soil loosening module is installed in the roller, and an opening is formed in the side wall of the roller and used for loosening tea garden soil based on the centrifugal force effect; the driving module is in signal connection with a controller, the controller is in signal connection with the power piece and the fertilization module, and the controller is used for adjusting the power of the driving module and the rotating speed and the output power of the power piece according to preset terrain information. The method is used for improving the efficiency of weeding, soil loosening and fertilizing operation of the tea garden and enhancing the collaboration of all operation links.

The application provides a tea garden identification method and device based on satellite images, which comprises the following steps: determining a evergreen vegetation area of a to-be-identified area based on Sentinel-2 image data and Landsat image data of the to-be-identified area; and identifying a tea garden area from the evergreen vegetation area through a decision tree model; wherein the decision tree model is constructed based on the following features and the classification threshold values corresponding to the features: a tea leaf phenology feature index, a terrain feature, and a spectral index determined by a separability index, wherein the SI is used to reflect the spectral reflectance separability of the tea garden and other evergreen vegetation; wherein the tea leaf phenology feature index is determined by an enhanced vegetation index in month N and a land surface water index in month M; the SI between the enhanced vegetation index in month N and the land surface water index in month M is the largest compared with the SI between the EVI in any other month and the LSWI in any other month, and N and M are integers greater than 0 and less than 13.

The utility model relates to a tea garden management device suitable for abrupt slope mountainous regions, and belongs to the technical field of tea garden mechanical equipment. Comprising a plurality of rails, a plurality of walking trolleys, a plurality of bearing mechanisms, a plurality of tea garden management devices, a power source and a control mechanism, the rails are arranged among a plurality of tea tree planting blocks, the bottom ends of the rails are horizontally arranged on a slope through supporting columns of different heights, and the walking trolleys are slidably arranged on the rails in a one-to-one correspondence mode; the bearing mechanisms are installed at the top ends of the walking trolleys in a one-to-one correspondence mode, the tea garden management devices are detachably installed on the bearing mechanisms in a one-to-one correspondence mode, and the power source and control mechanism is connected with the walking trolleys, the bearing mechanisms and the tea garden management devices through wires. Tea trees can be managed in the abrupt slope mountainous region, farming activities such as pesticide spraying, fertilizer applying, pruning and picking are completed, the convenience of mechanical application of a tea garden is improved, and the labor intensity of tea garden management and protection is reduced.

The invention belongs to the technical field of carbon sink evaluation, and discloses a typical weather-oriented tea garden carbon sink dynamic profit and loss evaluation method and system. Historical meteorological information and historical carbon sink monitoring information of the tea garden are collected, and a typical weather type library of the tea garden is constructed; determining a typical weather type corresponding to the current day of the tea garden, and calculating a carbon sink fixed amount and a carbon sink output amount of the tea garden; generating a correction factor for correction according to the management activity information of the tea garden to obtain a net carbon sink value; generating a total score based on comprehensive analysis of the net carbon sink value, and evaluating the carbon sink profit and loss condition of the tea garden; the carbon sink meteorological influence parameters before and after the monitoring time point are collected for comprehensive analysis to calculate the carbon sink fixed quantity and the carbon sink output quantity, calculation deviation caused by parameter fluctuation at a single time point can be avoided, and therefore the method better fits the continuous physiological process of photosynthesis / respiration of the tea trees, and the detection accuracy is improved. And the calculation result of the carbon sink fixed quantity / output quantity is closer to the actual condition.

The present invention relates to the field of smart agricultural technology, and discloses a tea garden tea picking position planning method, including: constructing a tea garden model, and obtaining the position information of the staff at the initial moment through an intelligent positioning terminal to obtain the initial position information; adding the initial position information to the tea garden model to construct the initial tea garden model; obtaining the position information of the staff at multiple moments, and updating the initial tea garden model according to the position information at multiple moments to obtain an updated tea garden model; querying the position information of the current staff to obtain the current position; judging whether the tea trees at the current position have been picked based on the updated tea garden model and the current position; if the tea has not been picked, notifying the staff that the current position can continue to pick tea; if the tea has been picked, notifying the staff that the current position cannot continue to pick tea. The present invention also proposes a tea garden tea picking position planning device, equipment and storage medium. The present invention can improve the tea picking efficiency of the staff.

The invention relates to the technical field of tea garden fog irrigation, in particular to a rotary fog irrigation machine and a use method. According to the technical scheme, the device comprises a conveying frame, a transposition driving assembly used for adjusting the irrigation position is installed at the top of the conveying frame, a water tank is installed at the top of the transposition driving assembly, a conversion assembly is installed at the top of the transposition driving assembly, and the water tank and the conversion assembly are connected through a high-pressure pump. The single-tooth rotating wheel pushes a third gear to rotate along a third auxiliary rotating rod every time the single-tooth rotating wheel rotates by a circle, so that a large difference value is generated between the rotating speed of fan blades and the rotating speed of the rotary mist irrigation assembly, in the process, the rotary mist irrigation assembly rotates to throw water mist to a farther distance through centrifugal force, and the water mist can be sprayed to the farther distance through centrifugal force; and the rotation difference value of the fan blades and the rotary fog irrigation assembly is also utilized, so that wind power can guide water mist to enter a standard area, the irrigation range is expanded, the control force on the irrigation area is improved, and the cost and time cost are also saved.

The invention relates to the technical field of plant ecological carbon sink measurement and calculation, in particular to a tea garden carbon reserve dynamic monitoring and prediction method based on meteorological data, a typical sample plot in a tea garden is selected, meteorological data and basic carbon reserve of the typical sample plot are acquired, and the meteorological data comprise real-time data and forecast data; establishing dynamic monitoring, and performing heat damage identification and freeze damage identification on real-time data; establishing a carbon reserve dynamic correction model; a carbon reserve prediction model is established, and when heat damage and / or freezing damage occur in prediction data, the carbon reserve dynamic correction model is used for prediction to obtain a prediction result; according to the method, the damage of high-temperature stress to the tea trees has a gradual superposition characteristic, high-temperature inhibits photosynthesis, so that calculation is performed in a summation form, cold waves increase respiratory consumption, and the damage mainly depends on the intensity peak value and the cooling rate of a single event; by providing more accurate dynamic measurement and calculation as the supplement of static measurement and calculation, the change condition of the carbon reserves of the tea garden can be reflected in time.

The invention provides a multi-mode remote sensing tea garden automatic identification method and system integrating phenolic indexes and phenological characteristics. According to the method, the growth amplitude GA reflecting tea phenological characteristics is calculated through medium-resolution time sequence radar data, and the normalized vegetation index NDVI, the phenolic compound index PCI and the phenol high-value dominant index PHD are calculated from optical remote sensing images so as to represent the growth condition of the tea tree and the change rule of the phenol content. A double-branch lightweight deep learning model is constructed, a first branch processes a high-resolution remote sensing image, and a second branch processes multi-modal tea garden remote sensing features; and then multi-modal geoscience knowledge of the tea garden is fully extracted and fused through a double-branch fusion module, refined and automatic extraction of large-area tea garden distribution is realized, and key technical support is provided for tea garden resource monitoring, management and the like.

The invention discloses an automatic monitor for environmental meteorology of an organic tea garden, and relates to the technical field of environmental meteorology monitoring of tea gardens. By arranging the adjustable device, namely the lifting assembly arranged at the bottom, the jacking effect of the cam on the roller can be achieved under the driving of the first motor, and the lifting frame connected with the lower end of the front side of the guide plate can be jacked and unfolded along with the upward movement of the roller, so that the flexible adjustment of the monitoring height of the automatic meteorological monitor is met; the range adjusting assembly connected with the upper end of the lifting assembly is matched, multi-directional real-time shooting of the tea garden environment can be met, the connecting arms connected with the four sides of the rotating disc are in butt joint under rotation of the rotating disc, sliding blocks connected with the outer ends can be pushed and pulled, the flexible adjustment of the shooting range of the camera is met, and the shooting effect of the tea garden environment is improved. Clear, large-range and dead-corner-free shooting and recording of the tea garden environment are achieved.

The invention discloses a weeding device suitable for tea garden cultivation in hills and mountains, and relates to the technical field of weeding devices. The machine body part comprises a rack, a controller arranged at the top end of the rack, a scanning piece arranged at the front end of the controller, a signal receiver fixed to the top of the controller, and moving wheels arranged on the side wall of the rack; the weeding component comprises a lifting assembly arranged on the front side of the interior of the rack and a weeding assembly arranged on the lifting assembly; the lifting assembly comprises a lifting plate arranged on the front side of the interior of the rack and an electric push rod fixed to the top of the lifting plate. The surrounding terrain is scanned through the scanning piece, data are transmitted to the corresponding controller, and then the lifting plate is controlled to move, so that the height of the cutting knife is changed, the purpose of adjusting the height of the cutting knife is achieved, weeds in low-lying places can be cleaned conveniently, and the working efficiency is improved. The problem that existing weeds growing in low-lying places cannot be cleaned by a weeding device is solved.

The invention discloses a tea production cycle monitoring technology based on remote sensing images, particularly relates to the field of remote sensing image calculation, and comprises a monitoring area division module, a monitoring data acquisition module, a monitoring data analysis module, a comprehensive analysis module and an early warning module. According to the invention, through a tea production period monitoring technology based on remote sensing images, accurate monitoring and management of the whole production process of the tea garden are realized, through monitoring area division, data acquisition, analysis, comprehensive evaluation, early warning and other modules, the accuracy and real-time performance of monitoring data are improved, the scientificity and efficiency of tea garden management are enhanced, and in addition, the tea production period monitoring system is suitable for popularization and application. Potential problems can be found and early warned in time, powerful decision support is provided for tea garden managers, the quality and benefits of tea production are improved, and sustainable development of the tea industry is promoted.

The utility model relates to a color plate device for reducing accidental killing of natural enemies in a tea garden and belongs to the field of biological control. Comprising an inserting rod, a color plate, a protective cover, a light supplementing mechanism and a mounting seat, the installation base is arranged at the top end of the insertion rod, the insertion rod is inserted into the ground, the color plate and the protective cover are detachably inserted into the installation base, the color plate is arranged in the middle of the protective cover, and the light supplementing mechanism is arranged on the protective cover and illuminates the color plate at night. The tea garden empoasca flavescens enemy trapping device is beneficial to trapping tea garden empoasca flavescens and meanwhile avoiding mistaken killing of natural enemies of the empoasca flavescens.

The invention provides a PAEs degrading bacterium trichoderma strain CSP1 derived from tea garden soil and application of the PAEs degrading bacterium trichoderma strain CSP1. According to the invention, a trichoderma fungus CSP1 is separated from tea garden soil, and is preserved in the China General Microbiological Culture Collection Center (CGMCC), and the preservation number is CGMCC No.41624. According to the bacterial strain, DBP and DEHP serve as unique carbon sources at the same time, degradation conditions of the bacterial strain are optimized through a response surface design method, it is found that the bacterial strain has a good degradation effect on main PAEs (DBP and DEHP) in tea garden soil, an application technology of the bacterial strain is given, and the bacterial strain has important application value for relieving PAEs pollution of the tea garden soil.

The invention relates to the technical field of tea tree pruning, in particular to an efficient tea tree pruning machine which comprises a supporting plate, a pushing handle is installed on one side of the supporting plate, a cutting mechanism is arranged on the supporting plate, a lifting mechanism is further arranged on the supporting plate, a collecting plate is arranged at the bottom of the supporting plate, and a storage box is arranged on one side of the collecting plate. A conveying mechanism is further arranged on the supporting plate, and wheels are arranged on the two sides of the supporting plate. Waste such as trimmed branches and leaves can be directly collected in time, the workload of manual cleaning is reduced, a tea garden is kept clean, interference of the trimmed waste on the growth environment of tea trees is avoided, the tea garden is kept clean, and environmental pollution is reduced; due to the adjustable function of the cutter, the pruning depth, angle and height can be accurately adjusted according to the growth conditions and pruning requirements of different tea trees, so that the pruning accuracy and the working efficiency are improved, and the situation of uneven pruning is reduced.