118 results about "Tea plantation" patented technology

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 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 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 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 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 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.

This invention discloses a sampling method and application for accurately evaluating the nutrient status of tea trees, and for the first time specifies the sampling time and leaf position for mature leaves and new shoots when evaluating the nutrient status of tea trees. The method involves selecting previous-year-old vegetative branches from the same growth position on the tea tree canopy surface, and topping these branches at the end of January, removing the terminal buds. In mid-to-late February, while the tea trees are still dormant, the first mature leaf at the top of the pruning cut is selected. When the dormant buds sprout and develop to one bud and two leaves, new shoot samples corresponding to the marked mature leaves are taken; mature leaves are not collected at this stage. Validation was conducted in tea gardens with 10-year and 20-year long-term nitrogen fertilization sites and with 2000 population samples. The method of this invention ensures the correlation between the nutrient status of tea trees across years, and shows a highly significant positive correlation between tea garden fertilization levels and tea tree nutrient status; it also ensures a highly significant positive correlation between the amino acid composition of new shoots and fertilization levels, and a highly significant negative correlation between the phenol-amino acid ratio and fertilization levels.

To provide a composite working machine for furrowing, fertilizing and soil-covering for a mountainous tea garden, applicable to fertilizing an organic fertilizer in the mountainous tea garden, capable of realizing functions of fertilizing, furrowing and cultivating and soil-covering, having abundant functions and high working efficiency, and improving utilization efficiency of the fertilizer by carrying out the fertilizing by a furrowing and fertilizing method.SOLUTION: A carrier, and a conveying system, a power system, a fertilizing system, a furrow opening system and a soil covering system disposed on the carrier, wherein the power system is connected to the conveying system, the fertilizing system, the furrow opening system and the soil covering system respectively, and the furrow opening system is located between the fertilizing system and the soil covering system.SELECTED DRAWING: Figure 1

The present application discloses an intelligent irrigation method, device, equipment, medium and product, which relate to the field of data processing technology. The method comprises obtaining the target yield, soil moisture change and predicted rainfall of a target tea garden in the current cycle; inputting the target yield into a pre-built yield prediction model to obtain predicted evapotranspiration; using the soil moisture change and predicted rainfall to perform calculations to obtain the current irrigation amounts corresponding to various irrigation types; based on the target yield and each predicted evapotranspiration, calculating the fresh leaf level water use efficiency corresponding to each irrigation type; based on the target yield and each current irrigation amount, calculating the economic income data corresponding to each irrigation type; performing normalized dual-objective optimization on the fresh leaf level water use efficiency and the economic income data, respectively, to determine the target irrigation type and the target irrigation amount. The present application can improve the utilization rate of water resources and increase tea yield.

The invention discloses a tea garden management growth period self-adaptive pest and disease identification system and method. The method comprises the following steps: acquiring a tea garden multi-temporal leaf image sequence, and dividing the sequence into a basic label set and an undetermined sample set based on knowledge base confidence; carrying out non-rigid body time sequence alignment on local areas at different time points of the same leaf position, and constructing a disease spot area time trajectory set; determining a growth period corresponding to the trajectory, obtaining a pre-constructed health baseline, calculating a feature deviation degree and generating an evolution sensitivity score; multi-modal clustering is carried out on the to-be-determined samples based on the scores, new category candidate clusters are screened, and a historical memory sample set is updated through an observation period verification mechanism; and performing incremental updating on the model by using the updated sample set. According to the method, the tracking problem caused by leaf growth deformation is solved through non-rigid registration, early-stage accurate recognition of the disease is realized by using a growth period self-adaptive baseline, and the stability of new category discovery is ensured through an observation period mechanism.

The utility model provides a perforating machine for tea planting, which belongs to the technical field of tea tree planting, and comprises a support component, a base, a support rod fixedly connected to the side wall of the base, a support plate fixedly connected to the side wall of the support rod, and a roller rotationally mounted on the side wall of the base; the punching assembly comprises a mounting plate mounted at the end of the supporting rod, a storage box fixedly connected to the middle of the mounting plate, and a distribution plate fixedly connected to the middle of the lower end of the mounting plate. The tea leaf perforating machine has the advantages that the supporting assembly and the perforating assembly are used in cooperation, the task of perforating and positioning can be accurately completed in a short time, the time consumed by tea leaf planting is shortened, the perforating machine can continuously operate for a long time, the perforating depth and the hole diameter can be accurately set, and the perforating efficiency is improved. The requirements of different tea varieties for the specifications of the planting holes are met, unified specifications and layout of tea garden planting are achieved, and tea trees can grow under the same conditions conveniently.

This invention relates to an automated control system and method for mechanized transporting and unloading of agricultural crops, comprising a support device, a main motor platform and an auxiliary motor platform mounted on the support device and controlling the forward and reverse movement of a traveling device, a traveling device mounted between the main motor platform and the auxiliary motor platform, and a loading and unloading device mounted below the traveling device. The auxiliary motor platform has the same structure as the main motor platform and is located at both ends of the transporting and unloading system, including a main balancing device and a first drive device and a second drive device mounted on the main balancing device. The auxiliary motor platform is connected to the main motor platform by a rope. The traveling device is mounted on the rope and includes a traveling device body, a connecting plate mounted on the traveling device body, a hinge mounted on the connecting plate for connecting the rope, and a non-circular connecting plate mounted on the traveling device body. This invention is applicable to various farmlands, such as greenhouses and tea gardens; the transport process is simple, disassembly and assembly are convenient, and maintenance and repair are easy.

A phage and its use in compensating soil nitrogen fixation: Klebsiella pneumoniae phage φYSZKA, wherein the method has solved some problems of conventional azotobacters, such as high cost, interspecific competition and limited range of application. Through phage transplantation, the efficiency of microbial nitrogen fixation in soil can be improved, and thus, more nitrogen sources may be provided for the nitrogen cycle and plant growth in ecosystems. Also, a new solution is provided for the nitrogen sequestration process of soil in saline-alkali lands, tea plantations and pesticide-polluted sites in China.

The present application relates to the field of agricultural automation, and discloses a tea leaf contour extraction and picking point intelligent detection method and device, the method comprising: collecting tea tree bud RGB original image, depth image and depth image synthesized RGBD image, and constructing a training set; based on instance segmentation branch and tea leaf bud picking point detection branch, constructing a lightweight tea leaf bud contour extraction and picking point detection model; training the lightweight tea leaf bud contour extraction and picking point detection model using the training set and back propagation algorithm, obtaining the trained model; obtaining the image of the region to be picked, obtaining the 2D picking frame and tea leaf bud contour extraction result using the trained model, and completing the detection of tea leaf bud contour extraction and picking point; the present application solves the problem that the tea leaf bud contour and picking point cannot be quickly and accurately extracted when the tea garden environment changes, significantly improves the picking efficiency and automation level, and further improves the economic benefit.

The invention provides a tea tree platform cradling, smashing and returning all-in-one machine. The tea tree platform cradling, smashing and returning all-in-one machine comprises a crawler-type power platform, a platform cradling conveying assembly and a smashing and returning assembly. The crawler-type power platform provides power for the platform mowing conveying assembly and the smashing and returning assembly. The platform mowing conveying assembly comprises a cutting device and a conveying device. The cutting device comprises a reciprocating cutting blade and a knife protecting frame; the reciprocating cutting blade and the cutter protecting frame are matched with each other for cutting tea trees; the conveying device comprises a spiral auger, a housing I and a conveying channel; the smashing and field returning assembly comprises a smashing and field returning device. The smashing and field returning device comprises a plurality of smashing knife rollers, a second housing, a feeding port and a discharging port, and the feeding port is communicated with the conveying device. A crawler power platform of the tea garden management machine is used as a power source, and a rear tea tree cutting machine tool, a tea tree conveying mechanism, a tea tree smashing mechanism and the like are additionally hung, so that tea tree platform mowing and smashing integrated operation is achieved.

1. A computer-implemented system for managing a tea harvest, the system comprising: a data store storing data defining one or more growing areas of a tea plantation; for each of the growing areas of the tea plantation defined in the data store, a growth and yield prediction module configured to model a plurality of tea plants within the respective growing area, thereby predicting the growth of each tea plant within the respective growing area over a period of time, and therefore the yield of each growing area of ​​the tea plantation when harvested; the growth and yield prediction module further configured to predict a recommended harvest time to achieve a desired quality of tea and a desired yield of tea; and a user interface module configured to provide a user with the predicted yield of each growing area of ​​the tea plantation when harvested.

The application discloses a strain of Brevibacillus sp. HNCS-1, relates to the technical field of tea tree planting, and has a preservation number of CCTCC NO: M2022713. The strain is classified and named as Brevibacillus sp., and is preserved in the China Center for Type Culture Collection on May 25, 2022, and is located at Wuhan University, Wuhan, China, and has a postal code of 430072. The strain shows significant inhibitory effects on common pathogenic bacteria in tea gardens, such as tea anthracnose bacteria, tea leaf penicillium, tea fusarium, tea white star bacteria, tea round brown spot disease, and tea wheel spot disease, is environment-friendly, and is non-toxic and non-harmful.

The invention relates to the field of vegetable planting, in particular to a method for applying phosphate solubilizing bacteria extracted from tea garden soil to leaf lettuce growth promotion. The invention relates to a method for applying phosphate solubilizing bacteria extracted from tea garden soil to growth promotion of leaf lettuce, which comprises the following steps: selecting an activated strain, placing the strain in a triangular flask filled with an LB liquid culture medium, culturing on a reciprocating shaking table until bacterial liquid is slightly turbid, measuring the absorbance value of bacterial suspension at the wavelength of 600nm by using a spectrophotometer, measuring the OD600 value of the bacterial suspension to 0.7-0.9, and calculating the content of the phosphate solubilizing bacteria. A pipette is used for sucking bacterial liquid, 0.8% normal saline is added for constant volume, and then lettuce root irrigation treatment is carried out; the bacterial strain is one of bacillus velezensis, bacillus thuringensis, Burkholderia, Burkholderia, and Paenibacillus lentigera, and the bacterial strain is one of bacillus velezensis, bacillus thuringensis, Burkholderia, Burkholderia, and Paenibacillus lentigera.

This invention discloses a sugar-vinegar liquor for controlling the tea geometrid moth and its preparation process, belonging to the field of green pest control technology for tea gardens. It addresses the problems of existing sugar-vinegar liquors for controlling the tea geometrid moth, such as weak targeting, short-lasting effect, incomplete control, imperfect formulation and application process, and unreasonable cost control. The method includes the following steps: weighing sugar, vinegar, liquor, and water according to the volume ratio of the basic components; adding sugar to water and stirring until completely dissolved to obtain a sugar-water solution; adding vinegar and liquor sequentially to the sugar-water solution and stirring evenly to obtain a basic sugar-vinegar liquor; sequentially adding a targeted attractant, a long-acting slow-release factor, and an environmentally friendly killing factor to the basic sugar-vinegar liquor, stirring for 10-15 minutes after each addition to ensure thorough mixing, resulting in a sugar-vinegar liquor for controlling the tea geometrid moth. This invention significantly improves the trapping specificity and efficiency by optimizing the basic ratio, selecting targeted raw materials, and adding a tea geometrid moth-specific targeted attractant.

The utility model discloses a tea garden anoectochilus formosanus seedbed cultivation device, and relates to the technical field of anoectochilus formosanus seedbed cultivation, the tea garden anoectochilus formosanus seedbed cultivation, the tea garden anoectochilus formosanus seedbed cultivation device comprises a base, the periphery of the upper surface of the base is fixedly connected with a fixing rod, and the fixing rod is provided with a plurality of seedling The seedling separating assembly comprises a planting plate, a nutrition groove is formed in the middle of the upper surface of the planting plate, a seedling separating plate is slidably arranged in the nutrition groove, and a planting groove is formed in the upper surface of the seedling separating plate. By means of the seedling separating assembly, the planting efficiency of seedlings and the survival rate of the seedlings are effectively improved, meanwhile, the seedling separating process of the seedlings is facilitated, the original centralized cultivation mode is abandoned, the seedling separating efficiency of the seedlings is effectively improved, manpower and material resources for seedling separating are saved, and therefore the transplanting efficiency is effectively improved.

This invention discloses an IoT-based electronic hardware system for agricultural environmental monitoring, aiming to solve problems such as low monitoring accuracy, weak anti-interference capability, and poor adaptability in different agricultural scenarios. The system adopts a core architecture of multispectral coupled sensing, layered anti-interference packaging, dual-mode communication, and neural network self-calibration, making it adaptable to various scenarios such as desert oases, tea gardens, and northern arid lands. By optimizing the sensing unit, strengthening the protective structure, and implementing adaptive power supply and real-time calibration algorithms, it achieves accurate monitoring of multiple dimensions, including temperature and humidity, soil / water quality parameters, and crop status. Its simple structure, convenient installation, strong resistance to interference from wind, sand, freeze-thaw cycles, and high humidity, and stable data transmission provide reliable data support for precise agricultural production management, adapting to various agricultural environmental monitoring needs.

The invention discloses a tea garden disease and pest prediction method and system based on big data. The method comprises the steps of image acquisition, image preprocessing, tea garden disease and pest prediction model establishment and tea garden disease and pest prediction. The invention belongs to the field of pest and disease damage prediction, and particularly relates to a tea garden pest and disease damage prediction method and system based on big data. According to the scheme, adaptive regularization of a scab area is enhanced by constructing a scab edge weighted cost function; an anisotropic diffusion nucleus is introduced to enhance the contrast between scab and leaf stripe; the contrast ratio of disease spots and healthy leaves is improved based on haze scene illumination compensation; capturing a multi-scale disease form through non-weighted Gaussian iterative filtering processing; dynamically balancing global tea garden environment information and local scab details based on global / local double paths and adaptive fusion; self-adaptive smooth convergence loss is introduced, and abnormal burst overfitting is inhibited; the tiny change of the scabs at the beginning can be better captured, and the early warning capability is improved; and the prediction reliability is improved.