195 results about "Tea plantation" patented technology

The invention relates to the technical field of image recognition, in particular to an agricultural crop disease and pest detection method and system based on image segmentation, and the method comprises the steps: collecting a vertical view angle image and an inclined view angle image of a tea garden through an unmanned aerial vehicle, carrying out the image registration through SIFT feature extraction, KNN matching and RANSAC filtering, and carrying out the alignment to a reference image coordinate system. And segmenting the foreground region by adopting a U-Net algorithm, and performing post-processing optimization. Positioning a disease area through a color detection method, extracting disease features, and identifying a disease stage by using a CNN algorithm; and using a YOLOv3 algorithm to identify insect body areas, extracting insect pest features, and evaluating insect pest degrees. And finally, based on the disease stage and the pest degree, using an LSTM algorithm to predict the pest diffusion trend, and generating a space thermodynamic diagram according to the reference image coordinate system, thereby improving the detection precision and timeliness, and providing technical support for intelligent agricultural prevention and control.

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 provides a hyperspectrum-based tea tree canopy leaf nitrogen estimation method, which comprises the following steps of: firstly, smoothing original spectral data of a tea tree canopy by using a Savitzky-Golay method so as to reduce random noise and improve a signal-to-noise ratio; then, the original spectrum is converted into 600 wave bands at the interval of 1 nm through spline interpolation, so that the continuity and convenience of calculation are ensured; the method comprises the following steps of: firstly, carrying out first-order derivative processing on a spectrum, then carrying out second-order derivative processing on the processed spectrum, calculating a normalized difference spectrum index (NDSI) by using a derivative spectrum, calculating a Pearson's correlation coefficient (PCC) between the NDSI and a measured nitrogen element, carrying out principal component analysis (PCA) on the highest 20 indexes of the correlation coefficient, and finally constructing a multiple linear regression model by using the principal components with the first 10 PCA scores as parameters. The method is used for predicting the nitrogen content (LNC) of tea tree canopy leaves. Prediction experiments of a plurality of tea gardens show that the model shows a good prediction effect which is close to the actual nitrogen content, and the generalization performance is good.

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 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 provides an unmanned aerial vehicle tea tree disease detection method based on morphological perception, and belongs to the technical field of agricultural information and computer vision. The method comprises the steps of firstly collecting tea garden images and constructing a data set; then, a target detection network embedded with a differentiable morphological sensor module is constructed, and the differentiable morphological sensor module extracts multi-scale shape features by using differentiable morphological operation; an adversarial learning mechanism is introduced in training, and the distinguishing ability of the model on disease and health areas is enhanced through a discriminator; after the training is completed, mining a difficult case sample based on the cosine distance between the morphological characteristics and the disease prototype vector, and carrying out supplementary training; and finally, integrating a plurality of models with optimal performance, and generating a final detection result through weighted reasoning. The method effectively strengthens the perception capability of the model for the subtle morphological characteristics of the diseases, solves the problems of low disease detection precision and insufficient difficult sample learning in a complex tea garden background, and remarkably improves the detection accuracy and robustness.

The invention belongs to the technical field of fertilizer application machines, and discloses a mountain tea garden furrowing type soil covering fertilizer application machine which comprises symmetrically-installed walking structures, a machine frame installed between the walking structures, a discharging hopper installed on the machine frame, a discharging pipeline communicated with a discharging port of the discharging hopper, a soil blocking shell installed at the bottom of the machine frame, and the periphery of the soil blocking shell is closed and provided with a downward opening. Rotary blades are symmetrically installed in the soil retaining shell, the edges of the rotary blades extend out of the soil retaining shell and are embedded into the ground, the end of the discharging pipeline is located between the rotary blades in the soil retaining shell and close to the rear portions of the rotary blades, the rotary blades are rotatably installed in the soil retaining shell through a rotating shaft, and an auger is installed at the communicating position of the discharging hopper and the discharging pipeline. The auger shaft end and the rotating shaft end are connected with a transmission structure, and the transmission structure drives the auger and the rotary blade to rotate synchronously. Ditching and fertilizer discharging are carried out at the same time, the phenomenon of uneven fertilization is avoided, the soil retaining shells around the rotary blades can prevent soil from being thrown to the roots of the tea trees, and the situation that the soil is accumulated at the roots of the tea trees to cause hypoxia decay of the roots of the tea trees is avoided.

The present invention provides a multifunctional agricultural robot, which includes a fertilizer and soil mixing mother bin and a driving module, wherein the fertilizer and soil mixing mother bin is installed above the driving module through a quick locking device; the driving module is a wheeled or crawler driven chassis, and the fertilizer and soil mixing mother bin includes: a rotating bucket, a closed soil conveyor belt, a human proximity safety sensor, a laser radar / RFID / visual recognition system, a fertilizer bin module, a liquid foliar fertilizer or pesticide module, a soil bin module, a fertilizer / soil mixing module, a robot control center, a soil feeding and paving device, a weighing module and a mixed fertilizer and soil feeding port. The present invention realizes the one-time completion of the whole process of trenching and soil digging, real-time nutrient detection and analysis, fertilizer distribution, fertilizer mixing, fertilization, and automatic backfilling. It can be operated in different terrains and soils such as orchards, small plots of land, tea gardens, hills, mountains, etc., which are inaccessible to large machinery. It has many advantages such as fast analysis speed, simple operation, no waste, and no pollution.

The invention discloses an intelligent tea inquiry method, device and system based on a big language model and a storage medium, and the method comprises the steps: taking tea professional domain knowledge as a basis, and constructing a tea domain knowledge corpus in a manner of combining a general big language model and artificial semi-supervision; a corpus is utilized, and a low-rank matrix is adopted for fine tuning training of an intelligent inquiry big language model ChatTea in the tea field; constructing an intelligent tea interrogation platform, quantifying ChatTea through a quantification technology, and deploying the ChatTea on the intelligent tea interrogation platform; and inputting the inquiry information of the tea intelligent inquiry platform user into the ChatTea model to obtain accurate answers of related problems such as tea planting, processing, pest control and the like. By means of the method, the tea garden management problem, the tea plant disease and insect pest problem, the planting problem and the like in the tea planting production process can be accurately judged, scientific and professional solutions are provided for different problems, tea farmers are helped to take effective measures in time, losses are avoided, and the yield and quality of tea are guaranteed.

The invention discloses a biochar-based microbial agent, a preparation method thereof and application of the biochar-based microbial agent in improvement of acidified tea garden soil, belongs to the technical field of microbial agents, and provides a biochar-based microbial agent which is prepared from Serratia mar cescens JW-CZ2 and mushroom dreg biochar. The preparation method of the charcoal-based microbial agent comprises the following steps: drying, crushing and sieving mushroom dreg raw materials to obtain pretreated mushroom dreg powder; carbonizing to obtain mushroom dreg charcoal; mixing with a culture medium to obtain a charcoal culture medium mixture; inoculating serratia marcescens JW-CZ2 into the biochar culture medium mixture, performing shake cultivation, and taking precipitate; and washing and freeze-drying to obtain the biochar-based microbial agent. The biochar-based microbial agent is applied to acidified tea garden soil, the pH of the acidified soil is increased, the soil fertility is improved, and the biochar-based microbial agent is an ideal acidified tea garden soil conditioner.

The invention belongs to the technical field of microorganisms, and particularly discloses a strain of Paenibacillus amyloliquefaciens (Paenibacillus amyloliquefaciens) capable of increasing the yield of tea leaves and improving the quality of the tea leaves and an application of the Paenibacillus amyloliquefaciens (Paenibacillus amyloliquefaciens) capable of increasing the yield of the tea leaves and improving the quality of the tea leaves. The preservation number of the chitin-dissolving paenibacillus is CCTCC NO: M 20241893, and the strain has efficient potassium-dissolving activity, strong organophosphorus-dissolving activity and IAA (Indoleacetic Acid) production capacity, and can degrade chitin by secreting chitinase, so that the strain has certain inhibition capacity on fungal pathogenic bacteria, and can be applied to the field of agricultural production. The bacterial strain can increase the content of rapidly available phosphorus and rapidly available potassium in tea garden soil, increase the total potassium content of tea leaves, increase the density of tea buds and the yield of the tea leaves, increase the content of free amino acids in the tea leaves and reduce the content of tea polyphenols and the phenol-ammonia ratio of the tea leaves, so that the quality of the tea leaves is improved.

The method comprises the following steps: S1, collecting unmanned aerial vehicle multispectral image data of a tea garden, and synchronously collecting measured values of chlorophyll and nitrogen content of tea leaves in a corresponding region; s2, preprocessing the multispectral image data, and constructing a training set and a test set; s3, an LSSCM-MobileTeNet detection model is constructed, the model takes MobileNetV3 as a reference framework, a multi-Stage Stem structure (Multi-Stage Stem) is introduced to carry out hierarchical feature extraction, and an original bottleneck layer is replaced with a lightweight spatial spectrum convolution module (LSSCM-Block); and S4, training the LSSCM-MobileTeNet detection model by using the constructed data set, processing the multispectral image of the area to be detected by using the trained model, and outputting predicted values of the chlorophyll content and the nitrogen content. The method has the advantages that RMSE and MAE are remarkably reduced, R2 is improved, and higher prediction precision is achieved; according to the method, the chlorophyll nitrogen content of the tea leaves can be rapidly detected on a large scale; the multi-stage Stem structure enhances the ability of the model to extract the hierarchical features of the multispectral image.

The invention relates to a photovoltaic inclination angle optimization method and device for a tea-light complementary project and a storage medium, and the method comprises the steps: S1, obtaining construction parameters of a tea garden photovoltaic array and meteorological parameters of a construction site, and building a photovoltaic array power generation amount model and a photovoltaic array radiation amount model; s2, based on a photovoltaic array power generation amount model, obtaining a mapping relation of power generation income P1 with respect to a photovoltaic panel inclination angle; s3, based on the photovoltaic array radiation quantity model, obtaining a mapping relation of the radiation quantity with respect to the inclination angle of the photovoltaic panel; s4, based on the mapping relation of the radiation quantity with respect to the inclination angle of the photovoltaic panel, obtaining the mapping relation of the first characteristic value P2 with respect to the inclination angle of the photovoltaic panel; s5, superposing the power generation income and the inclination angle of the photovoltaic panel to serve as an optimization target P, and obtaining a mapping relation of the optimization target P with respect to the inclination angle of the photovoltaic panel; and S6, determining an optimal photovoltaic panel inclination angle. Compared with the prior art, the method has the advantages of improving the acquisition speed of the optimal dip angle of the photovoltaic panel and the like.

The invention discloses bacillus velezensis ZX101 and application thereof in prevention and treatment of tea tree leaf blight. According to the bacillus velezensis ZX101, the bacillus velezensis ZX101 with high inhibitory activity on Diapotheca mongkongensis is obtained by separating and screening tea tree leaves in a sunshine tea garden, and the preservation number of the bacillus velezensis ZX101 is CCTCC (China Center for Type Culture Collection) NO: M2024470; the strain biological agent has good biocontrol potential for the tea tree leaf blight caused by Diapotheca mongkongensis, and a new strain resource is provided for preventing and treating the tea tree leaf blight in production. Meanwhile, the foliar fertilizer with bacillus velezensis ZX101 as an effective component is prepared, synergistic interaction of all substance components of the foliar fertilizer is achieved, and the foliar fertilizer is suitable for biological prevention and control of the tea tree leaf blight and has wide application prospects.

The invention relates to a tea tree chlorophyll content inversion method based on hyperspectral remote sensing. The method comprises the following steps: S1, acquiring remote sensing reflectivity data of tea tree leaves in a hyperspectral band; s2, performing spectral derivative processing on the hyperspectral reflectivity data obtained in the S1, and extracting enhanced spectral feature information; s3, selecting at least one characteristic wave band or wave band combination related to the chlorophyll content of the tea tree from the spectral derivative data; s4, establishing an inversion model between the chlorophyll content and the characteristic wave band reflectivity value; and S5, calculating the chlorophyll content of the target tea tree based on the inversion model and the hyperspectral remote sensing data. According to the method, rapid, lossless and high-precision monitoring of the chlorophyll content of the tea tree is realized, and the chlorophyll inversion precision and reliability are improved. The method has the advantages of high monitoring precision, abundant information amount, high model adaptability and the like, and can be widely applied to the fields of tea garden growth monitoring, nutrient diagnosis, precise fertilization, tea tree physiological research and the like.

The invention discloses an intelligent navigation system and method for a tea leaf picking robot, and the system is characterized in that an industrial control terminal carries out the construction of a three-dimensional vector space for a tea garden based on a panoramic image and a structured light image obtained in real time, and carries out the planning of a picking path through a path planning model stored in local; and converting the generated planning result into a control signal and transmitting the control signal to an execution mechanism of the picking robot. According to the system and the method, the real-time performance of path planning and the fluency of picking work are improved; the cloud server can provide cloud computing service interfaces for a plurality of industrial control terminals at the same time, management is convenient, and the overall use cost is reduced. According to the system, other sensors except a camera do not need to be used, the hardware equipment and software processing cost is reduced, the path planning model is stored locally, data are processed through the local model, the data processing speed and the picking work fluency are improved, and large-scale application and popularization of mechanical picking are facilitated.

The present invention belongs to the technical field of planting and fertilization, and specifically is an intelligent fertilizer applicator for tea planting and production, comprising a fertilizer vehicle and a storage box, and the fertilizer vehicle carries fertilizer in the storage box and moves in the tea garden; it also comprises a support frame, the support frame is installed on the fertilizer vehicle, and the storage box is installed on the support frame, and a camera is provided on the support frame; the rotation speed of the spiral blade is accelerated, so that the fertilizer transportation and spreading speed is accelerated, and the speed of digging and backfilling by the shovel plate and the conveyor belt is also accelerated. For example, if the fertilizer is spread quickly, the speed of digging and backfilling will also increase together, and if the fertilizer is spread slowly, the speed of digging and backfilling will also slow down accordingly, so as to avoid the situation that the speeds of the two are not uniform, resulting in excessive or insufficient fertilization, thereby improving the uniformity of fertilization, further promoting the uniformity of tea tree growth, and reducing the possibility of uneven quality after tea leaves are picked.

The invention discloses a full-automatic tea leaf picking device integrating picking and transportation, the full-automatic tea leaf picking device comprises a picking mother machine and a transportation son machine, the picking mother machine comprises a supporting seat, the lower end of the transportation son machine is provided with an undercarriage, a material changing platform is arranged in the supporting seat, and the undercarriage of the transportation son machine can be parked on the material changing platform; a walking mechanism is arranged at the lower end of the supporting base and used for driving the picking machine to move. A picking mechanism, a material box, a material sucking mechanism and a box changing mechanism are arranged on the supporting seat, and the picking mechanism is used for picking tea leaves; the material sucking mechanism is used for sucking the picked tea leaves into the material collecting box; and the box changing mechanism is used for pushing the material receiving box filled with the tea leaves to the undercarriage on the material changing platform and conveying the material receiving box on the material changing platform into the material box. According to the tea garden management system, a complete'picking-collecting-transferring 'automatic system is constructed by combining the picking mother machine and the transportation son machine, manual intervention is reduced, unmanned operation of tea garden management can be achieved, and the operation efficiency is improved.

The invention discloses a tea tree intercropping wild peanut ecological cultivation method capable of inhibiting weed growth, and particularly relates to the field of plant cultivation methods. The method comprises the following steps of soil preparation, wherein ploughing is conducted between every two tea rows after the beginning of winter; planting in a tea garden: taking a mature tea garden as a main part, watering enough root fixing water after planting tea seedlings, immediately pruning, and planting wild peanuts after the tea trees form the tea garden; the wild peanuts are subjected to cutting propagation, a cutting bed is selected in a sunshade shed, and clean river sand is adopted as a substrate; after cuttage, water is sprayed to keep wet, roots can grow after 3 days, and when fibrous roots grow 3 cm after 10 days, transplanting can be conducted; field planting of wild peanuts: fertile loam is adopted as cultivation soil, illumination and drainage conditions are good, and a compact lawn can be formed in a short time; trimming the wild peanuts: mowing for more than two times in the vigorous growth period of the wild peanuts in spring and summer every year, and returning the flatly-sheared wild peanuts to the field in situ. By adopting the technical scheme, the problem that weeds affect the growth of tea trees during existing tea tree cultivation is solved, and the quality of tea leaves is improved.

The application discloses a riding type tea garden ploughing and fertilizing machine, which comprises a walking part, a hanging part is hung on the side of the walking part away from the direction of movement; the hanging part comprises a cross beam, a fertilizing unit and rotary ploughing units symmetrically arranged on the two sides of the cross beam; the fertilizing unit comprises a fertilizer box, a fertilizing pipe and a fertilizing wheel set matched with the fertilizer box, one end of the fertilizing pipe is connected with the discharging end of the fertilizing wheel set, and the other end is swingingly arranged on the side of the rotary ploughing unit close to tea bushes; the fertilizing wheel set comprises a driving wheel and an adjusting wheel in sliding cooperation with the driving wheel to adjust the fertilizing amount; through cooperation of the swing of the fertilizing pipe, the linkage of the pull rope and the adjusting wheel, the differentiated and accurate operation of large amount of fertilization on the two sides of the tea bushes and small amount of fertilization in the center can be realized, the nutrient requirement of the dense root absorption area on the outside can be met, and the flexibility of caring and soil improvement for seedlings and root necks in the center of the bushes can be realized.

The utility model relates to the technical field of soil stabilizers, and discloses a splicing type soil stabilizer which comprises a suspension device main body, a convex block is arranged on the suspension device main body, the convex block is fixedly connected to the upper surface of the suspension device main body, a groove is formed in the lower surface of the suspension device main body, a fixing column is fixedly connected to the bottom of the suspension device main body, and the fixing column is fixedly connected to the bottom of the suspension device main body. According to the utility model, a plurality of groups of suspension device main bodies are spliced and tightly connected to form an integral protection network, so that the soil is effectively prevented from being washed by rainwater, meanwhile, the bump design on the upper surface disperses the impact force of raindrops, the original structure of soil particles is protected, and the honeycomb-shaped grooves on the lower surface increase the friction force with the soil, so that the soil is protected. The soil particles can be better embedded in the device, the stabilization effect of the device on the soil is enhanced, the soil is effectively prevented from sliding or being washed away under the action of water flow, and therefore the water and soil loss problem of the tea garden is remarkably reduced.

The utility model relates to the technical field of tea cultivation tools, and discloses a novel tea garden frost prevention device which comprises an erecting table, a fan machine head is rotatably arranged at the top of the erecting table, two fan blades are fixedly arranged on the front face of the fan machine head, and a plurality of mounting rings are fixedly connected to the outer wall of the erecting table at equal intervals. And ladder bodies are symmetrically and fixedly arranged on the two sides of the front faces of the mounting rings, a pedal rod is fixedly connected between the two ladder bodies, a mounting assembly is fixedly arranged on the outer side of the mounting ring located in the middle of the erecting table, a power assembly is fixedly arranged on the top of the mounting assembly, and a cleaning ring is slidably connected to the outer wall of the pedal rod. According to the anti-frost climbing ladder, frost accumulated on the surfaces of the treading rods is scraped and cleaned, the probability that feet slip and collide with the anti-frost device when a maintainer climbs the climbing ladder is reduced, the safety of the maintainer in the working process is improved, potential safety hazards of the maintainer in the working process are reduced, and the life safety of the maintainer is guaranteed.

The invention relates to the technical field of multi-source remote sensing data processing, and discloses a tea whole-process digital early warning and block chain responsibility tracing method, which comprises the following steps: firstly, constructing a terrace planting micro-unit distribution map, and analyzing terrace landform repeated spacing; then acquiring multi-source heterogeneous sensing data, determining a comprehensive spatial resolution and a comprehensive time acquisition interval, and calculating a space-time sampling aliasing index according to the comprehensive spatial resolution and the comprehensive time acquisition interval; and generating a monitoring reliability attenuation factor by using the index, and recovering the anti-aliasing signal by using the monitoring reliability attenuation factor as a regular constraint to obtain a reliability correction risk value. The early warning event is generated according to the corrected risk value, the responsibility traceability allocation weight is calculated by using the monitoring reliability attenuation factor, and finally the early warning event, the responsibility weight and the recovery parameter are stored in the block chain system. According to the method, the problem of observation distortion of the mountain tea garden caused by cloud and mist shielding and terrain breakage is effectively solved, and the accuracy and credibility of risk early warning and responsibility determination are ensured.

The utility model relates to the technical field of insect-proof net covers for tea leaves, in particular to an adjustable insect-proof net cover for a tea plantation, which comprises an insect-proof net cover main body, a plurality of supporting devices for supporting are arranged on the insect-proof net cover main body, and each supporting device comprises a vertical storage rod which is vertically arranged. An insertion conical rod is fixedly installed at the bottom end of the vertical storage rod, an upper fastening bolt and a lower fastening bolt which are symmetrical to each other are in threaded connection to a top rod body of the vertical storage rod, an outward extension rod is slidably connected into the vertical storage rod, a hanging assembly is arranged on a top rod body of the outward extension rod, and the hanging assembly comprises a hook with a C-shaped section; one end of the hook is fixedly provided with an end rod, the end rod is fixedly installed on the extension rod, the other end of the hook is fixedly provided with a limiting rod, a clamping gap is formed between the end rod and the limiting rod, and the insect-proof mesh cover body is hung on the hook. Height adjustment, covering and insect prevention protection operation can be conveniently carried out, and use is convenient.

The invention discloses a double-planting tea garden ecological value accounting method. The method comprises the following steps: step 1, a tea garden material supply type ecological product accounting method; 2, a tea garden adjustment service type ecological product accounting method; 3, a tea garden cultural product estimation method; and 4, data processing. According to the method, a tea garden ecological product value accounting framework covering three categories of material products, regulation services and culture services is constructed according to an accounting concept of a total ecological product value (GEP), and tea garden ecological values of various provinces in China and main tea production areas in various countries in the world are systematically estimated and contrastively analyzed by applying a model estimation and market value method; by quantitatively revealing the comprehensive value contribution of the tea garden ecological system, a scientific basis and decision reference are provided for perfecting an ecological value implementation mechanism and promoting green transformation and rural revitalization of the tea industry.

The invention relates to the technical field of agricultural machinery, in particular to tea planting fertilizing equipment with a quantitative feeding mechanism, which comprises a vehicle body, an air pump is fixedly connected to the outer wall of the vehicle body, a motor is fixedly connected to the outer wall of the vehicle body, and a telescopic cylinder is fixedly connected to the inner wall of the bottom end of the vehicle body. Lifting legs are symmetrically and fixedly connected to the outer wall of the bottom end of the vehicle body, lifting mechanisms are symmetrically arranged on the outer walls of the lifting legs, a fertilization mechanism is arranged on the inner wall of the vehicle body, an irrigation mechanism is arranged on the inner wall of the vehicle body, and a piston is driven by an air pump to reciprocate to achieve quantitative suction and pushing of fertilizer. The motor drives the fertilization mechanism and the irrigation mechanism to work cooperatively, irrigation is completed while fertilization is conducted, the repeated operation frequency of equipment is reduced, and the tea garden management efficiency is improved.

The utility model provides an irrigation device for a tea plantation, and belongs to the technical field of irrigation devices. Comprising a base, a vertical bottom column is fixed to the base, a telescopic column capable of moving up and down is installed at the top of the bottom column, a water sprinkling disc is fixed to the upper end face of the telescopic column, and a rotatable water sprinkling mechanism is installed at the top of the water sprinkling disc; the water sprinkling mechanism comprises a movable seat rotationally installed on the upper end face of the water sprinkling disc, a plurality of horizontal fixed cylinders are evenly fixed to the side face of the top of the movable seat, movable cylinders capable of being adjusted in a telescopic mode are arranged at the ends, away from the movable seat, of the fixed cylinders, and a plurality of water spraying pipes are fixed to the same sides of the multiple movable cylinders; the water spraying mechanism is formed to rotate by using a reaction force during water spraying. The irrigation device is large in irrigation range, low in cost, flexible to use and good in overall using effect.

The invention discloses a fresh green tea-based skid-mounted front-end crude extraction and concentration device, and relates to the technical field of fresh tea extract skid-mounted equipment, the technical key points are as follows: the device comprises a base and rollers fixedly mounted at four corners of the bottom of the base, and the base is provided with a tea polyphenol extraction mechanism; the tea polyphenol extraction mechanism comprises a smashing structure, a dissolving structure, an atomizing structure and a collecting structure, the smashing structure comprises a smashing tank fixedly installed on the base, and the top of the smashing tank is in threaded connection with a smashing tank sealing cover. Crushing, dissolving, atomizing and collecting structures are integrated, so that the extraction operation of the tea polyphenol crude liquid is realized, and the extraction efficiency and quality are improved; the loss of effective components is reduced by adopting a low-temperature atomization technology, and the biological activity is ensured; the solvent recovery system reduces the production cost and environmental pollution, and green circulation is formed; by pruning branches and leaves, the resource utilization rate is increased, and additional economic benefits are created.

The invention belongs to the technical field of interplanting, and discloses an ecological tea garden herbaceous plant interplanting machine which comprises a rack, a handrail is fixedly installed at the right end of the rack, longitudinal guide rails are fixedly installed on the left side and the right side of the bottom end of the rack correspondingly, and bottom plates are fixedly installed at the bottom ends of the two longitudinal guide rails correspondingly; trundles are movably installed at the front ends of the two bottom plates, a compaction roller is movably connected to the rear end between the two bottom plates, and an operation assembly is installed at the bottom end of the rack. Through the cooperation between the control assembly and the soil sampling assembly and the cooperation between the soil sampling assembly and the electric push rod, the soil sampling cone can descend and ascend only by rotating a hand wheel for two circles, the soil sampling process is synchronously completed in the ascending process, the whole process can be synchronously completed, namely hole digging and soil sampling can be completed at the same time, and the working efficiency is greatly improved. The soil in the target area can be rapidly taken out without two working procedures, and the overall soil taking efficiency is remarkably improved.

The invention discloses a method and a system for evaluating a tea growth model. The method comprises the following steps: constructing a first growth model according to a data set and a meteorological data set; acquiring pest and disease damage data in the tea leaf detection area, forming a pest and disease damage identification model according to dynamic interaction of multiple pest and disease damage data, and integrally controlling the pest and disease damage identification model and the first growth model. Further, constructing a tea growth model according to the disease and pest recognition model and the first growth model; the tea growth model performs overall evaluation on a tea detection area in a tea garden, defines a corresponding tea growth state according to the tea growth model, each sub-area in the tea detection area and time, and defines a corresponding tea state evaluation diagram according to the tea growth state and the tea detection area; according to the invention, accurate evaluation of the tea leaf detection area by the tea leaf growth model is realized, the accuracy of the tea leaf state evaluation diagram is ensured, and multi-dimensional evaluation of the tea leaf state of the tea leaf state evaluation diagram is realized.