51 results about "Tree health" patented technology

An ancient and famous tree protection and management method comprises the following steps: 1, establishing an ancient and famous tree health degree evaluation model based on existing ancient and famous tree health degree evaluation related standards; 2, acquiring state information of ancient and famous trees from multiple angles; 3, analyzing the information obtained in the step 2; 4, determining the grading condition of each monitoring index for protecting the ancient and famous trees; 5, calculating the health degree of the ancient and famous trees according to the contents in the step 4 and the step 3; 6, based on the health degree calculation result in the step 5, evaluating the health level of the ancient and famous tree, and describing the health condition characteristics; 7, establishing a targeted old and famous tree maintenance scheme according to the health evaluation information of the old and famous trees in the step 6; and 8, implementing maintenance of the ancient and famous trees established in the step 7, and performing task closed-loop management. The health degree of the ancient and famous trees is comprehensively and objectively evaluated, the health condition characteristics of the ancient and famous trees are completely described, the corresponding maintenance scheme is established according to the health degree, and full coverage of the maintenance requirements of the ancient and famous trees is achieved.

The invention provides an intelligent and rapid pre-examination and diagnosis method and system for tree health, and relates to the technical field of tree management. The method comprises the following steps: constructing a liquid flow database of a standard tree of a target tree species, carrying out model training on an established liquid flow calculation model by utilizing the liquid flow database, then collecting liquid flow data of a to-be-detected target tree in a preset detection time and meteorological and soil information of a growth environment, inputting an optimal liquid flow calculation model, and calculating a theoretical liquid flow value of the target tree, comparing with an actually monitored liquid flow value, calculating a liquid flow deviation degree, grading according to a daily maximum liquid flow deviation degree, and comprehensively evaluating a tree health grade in combination with phenotype information to obtain a diagnosis result; the rapid and intelligent pre-examination diagnosis of the tree health is realized, and the intervention timeliness is improved; and multi-dimensional data fusion is adopted, so that the diagnosis accuracy is improved, and automatic monitoring and real-time early warning are realized.

The invention discloses a tree health state assessment method based on a proxy model, which comprises the following steps: establishing a three-dimensional finite element model of trees by collecting geometrical shape data and material attribute data of different types of trees, and performing finite element analysis. And according to the analysis result and the geometric data, constructing an adaptive agent model by using a neural network, training the adaptive agent model, and generating a prediction model of the tree health state. Characteristic data such as stress, strain and damage factor distribution of a tree to be evaluated are collected in real time through a sensor and an unmanned aerial vehicle and input into the trained adaptive agent model for dynamic analysis, and data optimization model parameters are fed back in real time. And according to an evaluation result, windproof reinforcement countermeasures for trees with different health state levels are automatically generated, and the scientificity and the accuracy of the reinforcement measures are improved. According to the method, the accuracy of tree health state evaluation is improved, real-time monitoring and dynamic early warning are realized, timely identification and feedback can be realized at the initial stage of tree damage, a corresponding windproof reinforcement countermeasure is given, and delayed processing is avoided.

The invention relates to the technical field of tree monitoring, in particular to an intelligent tree health monitor and a monitoring method thereof. Comprising a placement box; an air extracting pump is mounted in the placement box, and a hinge plate is placed at the upper end of the placement box; the number of the hinged plates is two. According to the device, through cooperation of a belt and a hinged plate, a driving motor can drive the belt attached to a tree trunk to climb upwards along the tree trunk, so that the belt drives a carbon dioxide monitor and an oxygen monitor to ascend synchronously through the hinged plate, and compared with the situation that the gravity center of the device continuously ascends through a multi-section hydraulic push rod, the device is more convenient to use. The hinge plate is attached to the trunk, so that the trunk provides stable support for the hinge plate, even if external force interference such as strong wind is encountered, the hinge plate cannot lose balance and topple due to the fact that the hinge plate is supported by the trunk, the device is safer and more reliable in the rising and monitoring process, and the service life of the device is prolonged; and the cost for maintaining and replacing the equipment is reduced.

The invention discloses an ancient tree health state monitoring method based on digital twinning, and relates to the field of ancient tree health monitoring, and the method comprises the steps: collecting point cloud data and texture data of an ancient tree, and constructing an initial three-dimensional model of the ancient tree; a micro ion selective electrode array is deployed in an ancient tree root distribution area, Ca2 and K + ion flow velocity changes are detected through a constant potential rectifier, and the mycorrhizal symbiosis index is calculated in combination with soil temperature and humidity data; uploading the mycorrhizal symbiosis index to a digital twinborn body, and displaying the active state of a root system area in an initial three-dimensional model of the ancient tree in a three-dimensional thermodynamic diagram form; a 16-channel MOX gas sensor electronic nose array is installed on the surface of a trunk of an ancient tree, and volatile organic compound (VOC) concentration data of the ancient tree are collected. According to the invention, a micro electrode array with a 45-degree inclination angle is adopted to non-destructively monitor the ion flow velocity of a root system through the mycorrhizal symbiosis index detection unit, and a three-dimensional thermodynamic diagram is generated in combination with an inverse distance weighted interpolation algorithm, so that dynamic visualization of underground mycorrhizal activity is realized.

The invention discloses an organic ecological planting method for apples, and particularly relates to the field of fruit tree cultivation, and the method comprises the following specific planting steps: S1, soil foundation improvement; s2, annual fertilizer management; s3, flower and fruit management; s4, ecological prevention and control of diseases and pests; and S5, harvesting management. According to the method, through soil foundation improvement, annual fertilizer management, flower and fruit management, ecological pest control and harvesting management, no chemical fertilizer or pesticide is input, five purposes are achieved, and meanwhile it is guaranteed that soil is healthy, tree bodies are robust and fruits are high in quality; according to the method, microbial agents and bio-organic fertilizers are mainly adopted to replace chemical fertilizers, biological prevention and control are adopted to replace chemical pesticides, precise farming operation is combined, apple planting achieves zero pesticide residue, high quality and high yield, the method is suitable for high-end organic ecological apple production, the purposes of high yield, high quality, safety and high efficiency of apple planting are achieved, and the method has wide application and popularization prospects.

The invention relates to a natural rubber tree detection device and detection method based on a hyperspectral technology. The device comprises a walking chassis, a mechanical arm, an imaging spectrometer, a visual camera, a portable supporting holder, a laser scanning system, a data acquisition system, a data transmission module, a data processing module and a power supply system. Spectral reflection data of different layers of the bark of the rubber tree are obtained by utilizing an imaging spectrometer, efficient sampling is realized by combining laser scanning, and the data are sent to an analysis terminal through wireless transmission. Through a built-in data processing module, a spectrum separation and feature extraction technology is adopted, and a machine learning model is combined to realize prediction of bark health conditions, tree ages and plant diseases and insect pests. The device has the characteristics of portability, non-destructiveness, high efficiency and intelligence, and is suitable for tree health management and precision agricultural monitoring in natural rubber parks.

The invention relates to the technical field of plant monitoring, in particular to a tree growth intelligent monitoring and lesion early warning system which comprises a data acquisition module, a growth state analysis module, a lesion risk assessment module, an environmental adaptability assessment module and a comprehensive early warning analysis module. Wherein the data acquisition module is used for acquiring tree growth data and environment data in real time; the growth state analysis module is used for evaluating the current growth state of the tree; the lesion risk assessment module is used for detecting whether the trees have lesion symptoms or not; the environment adaptability evaluation module is used for judging whether the tree faces an environment adaptability problem or not; and the comprehensive early warning analysis module is used for comprehensively judging whether the trees have health threats or not. According to the invention, through comprehensive real-time collected tree growth data, environment data and lesion image analysis, early warning and intelligent management of tree health are realized, the monitoring efficiency is significantly improved, and potential growth problems and lesion risks are effectively prevented.

The utility model relates to the technical field of tree reinforcement, in particular to a landscape garden tree stabilizing device which comprises a plastic clamp, two fastening nails are movably connected to the front portion of the left end of the plastic clamp in a threaded mode, and three connecting blocks are fixedly connected to the outer surface of the plastic clamp. Bearing stabilizing rods are fixedly connected to the middles of the lower ends of the three connecting blocks, arc-shaped reinforcing columns are jointly and fixedly connected to the upper portions and the lower portions between the three bearing stabilizing rods, a bearing bottom plate base is jointly and fixedly connected to the lower ends of the three bearing stabilizing rods, and a tree placing notch is formed in the middle of the front end of the bearing bottom plate base. According to the tree stabilizing device for the landscape garden, the plastic clamping hoop, the arc-shaped rubber clamping pad and other components are matched, installation is convenient in a simple connecting mode, trees can be stably supported to resist external force, the growth of the trees is prevented from being limited, and therefore healthy growth of the trees is facilitated.

To provide an information processor, an information processing method and a program for improving the efficiency of the whole tree diagnostic task while accurately acquiring data related with tree diagnosis at a job site.SOLUTION: The information processing apparatus 10 includes a reception unit 113 that receives diagnosis data including a plurality of pieces of image data and a plurality of pieces of sound data related to a tree to be diagnosed from the worker terminal 30 and registers the diagnosis data in a storage unit, a provision unit 110 that provides the diagnosis data to the diagnoser terminal 40, an acquisition unit 114 that acquires a diagnosis result regarding the soundness of the tree from the diagnoser terminal 40, and an output unit 115 that outputs the diagnosis result.SELECTED DRAWING: Figure 2

This invention proposes a comprehensive ancient tree health monitoring method and system based on IoT and AI technologies. The method includes: collecting physiological data of ancient trees through sensors and preprocessing it; extracting disturbance indicators from the millimeter-wave radar point cloud frame data through edge computing to represent the intensity of behavioral disturbances at the current time step; initializing the ancient tree health state variable as the current health state and inputting it into a pre-constructed dynamic recursive model to obtain the predicted ancient tree health state variable; sampling the millimeter-wave radar point cloud frame data once per second and performing pre-clustering processing; constructing a graph neural network based on the target point cloud set to encode and extract the disturbance activation degree representing the current behavioral risk; correcting the disturbance indicator according to the disturbance activation degree and outputting the disturbance amount; calculating a comprehensive risk score and dynamically generating corresponding health response actions based on the comprehensive risk score.

The invention relates to a portable tree health degree detection device and method, the portable tree health degree detection device comprises a measurement assembly, a probe and a controller, the measurement assembly comprises supporting and fixing units and flexible telescopic units, and the multiple supporting and fixing units are mutually connected through the flexible telescopic units to form a closed-loop structure; the adjusting block is sleeved in an adjusting hole in the adjusting plate in a sliding manner and can be locked; the supporting sleeve is fixed to the adjusting block in a penetrating mode, and the inner end of the supporting sleeve extends into the closed-loop-shaped structure so that a plurality of positioning supporting points which surround the periphery of the trunk and are adjustable in position can be formed. The outer end of the supporting sleeve faces outwards, internal threads are arranged in the supporting sleeve, and the probe is assembled in the supporting sleeve in a threaded mode and penetrates into a positioning supporting point formed by the supporting sleeve and the periphery of a tree trunk in a threaded propelling mode. The device is simple and rapid to operate and clear in result, the growth health condition of the tree is reflected by measuring the change condition of the physiological signal of the tree trunk, and the measurement precision and accuracy are improved.

A pest control device comprises a power supply configured to produce 250 to 1500 W, a microwave generator, a microwave emitter probe having a substantially cylindrical shape with a microwave emitter probe length of 5 to 50 cm and a microwave emitter probe diameter of 0.25 to 5 cm, a temperature monitor probe having a substantially cylindrical shape with a temperature monitor probe length of 1 to 25 cm and a temperature monitor probe diameter of 0.5 to 5 cm, and a controller configured to control a power of microwaves emitted by the microwave emitter probe. The pest control device operates at frequencies of 2.0 to 4.0 GHz and provides targeted pest elimination in woody plants through insertable probes that deliver controlled microwave energy directly to infestation sites while maintaining tree health through real-time temperature monitoring and automatic safety controls.

The invention belongs to the technical field of locust tree rejuvenation, and provides a Chinese scholar tree premature senility diagnosis and treatment method which comprises the steps of health diagnosis index data set collection, health degree score calculation, health quality grade determination, root system rejuvenation treatment, trunk rejuvenation treatment and crown rejuvenation treatment. According to the method, early-stage health diagnosis and treatment of the target locust tree are realized through a tree health degree formula, and the rejuvenation effect of the locust tree is improved through advanced treatment; through health quality grade determination, root system rejuvenation treatment, trunk rejuvenation treatment and crown rejuvenation treatment, targeted rejuvenation treatment is provided for locust tree weakness caused by different inducements, and the rejuvenation effect of locust trees is further improved.

An apparatus (100) for monitoring the health of trees (TR) is described, the apparatus (100) including sensors (10A, 10B) configured to perform measurements of parameters indicative of the health of the trees (TR) and processing systems (110, 115) configured to process the measurements provided by the sensors (10A, 10B). The apparatus (100) is attached to the trees (TR) to be monitored and configured to perform measurements of the leaves (FO) of the trees (TR). The sensors (10A, 10B) include at least a multispectral sensor (10A) for performing optical measurements of the leaves (FO) of the trees (TR), the multispectral sensor (10A) being capable of performing optical measurements in the visible and near-infrared (NIR) spectrum. The apparatus (100) is configured to calculate a normalized difference vegetation index (NDVI) of the associated trees (TR) based on the optical measurements performed by the multispectral sensor (10A).

The utility model relates to the technical field of pruning equipment, and discloses tree pruning equipment which comprises a bottom plate, two fixing plates are fixedly connected to the top of the bottom plate, and a changing assembly used for changing the position of a pruning tool so as to adapt to pruning of different trees is fixedly connected to the outer portions of the fixing plates. A supporting block is fixedly connected to the outer portion of the changing assembly, a connecting plate is fixedly connected to the top of the supporting block, an air cylinder is installed at the top of the connecting plate, a moving block is fixedly connected to the driving end of the air cylinder, and a changing plate is fixedly connected to the other end of the moving block. According to the pruning tool, the angle can be adjusted, various advantages are brought, the pruning angle can be flexibly adjusted according to the shapes and growth characteristics of different trees, the uniform and accurate pruning effect is ensured, healthy growth of the trees is promoted, and the labor intensity of operators can be relieved by adjusting the angle.

The invention discloses an ancient and famous tree health assessment method and system. The method comprises the steps of collecting multi-dimensional health index data of a target ancient and famous tree; performing cleaning, normalization and missing value processing on the index data to form a standardized data set, and extracting feature vectors; inputting to a pre-trained gradient boosting decision tree model, and outputting a health level prediction result of the target ancient and famous tree; the model takes a minimization objective function as a training objective to carry out iterative training; the objective function is composed of a loss function and a regularization term and comprises a weighted cross entropy loss term and a time sequence smoothing regularization term; the system is used for implementing the method. According to the method, health assessment of ancient and famous trees is converted from qualitative judgment depending on subjective experience into objective diagnosis based on multi-dimensional quantitative data and an algorithm, and the scientificity and decision support value of an assessment result are remarkably improved.

The utility model relates to the field of forest protection and tree planting, in particular to a fixing frame for forest protection and tree planting, which comprises a bearing bottom plate, an adjusting and fixing component for adjusting and fixing the diameter of the outer side of a planted tree and an extending and fixing component for extending and fixing the height of the planted tree, the adjusting and fixing assembly comprises a ground nail, a fixing supporting plate, a damping adjusting ring, a rotating shaft rod, a supporting inclined rod, an assembling supporting plate, a fixing arc plate, a reinforcing connecting ring, a damper, a telescopic spring, an adjusting arc plate and a protection plate. Ground nails are arranged in the bearing bottom plate; the tree fixing device can be correspondingly fixed and adjusted according to the growth width and height of planted trees, the tree fixing device adapts to the growth requirements of different tree species, fixes tree trunks, prevents the trees from inclining or lodging caused by wind blowing and the like, adjusts the fixing tightness according to the growth conditions of the trees, assists the healthy growth of the trees, improves the survival rate of the trees, reduces the manual maintenance cost, and improves the work efficiency. Healthy growth of trees is facilitated, assembly and disassembly are easy, and adjustment and assembly are fast.

This method for estimating tree health is executed by one or multiple computers and involves acquiring one or multiple pieces of image data showing a scene including a tree in a field in a physical space, and estimating an index value indicating the health of the tree on the basis of the image data. When estimating the index value, the relationship between the image of the scene and the total leaf area of the tree is used.

The application discloses a kind of ancient tree health assessment method and system, wherein the method comprises: collecting the multidimensional health index data of target ancient tree;The index data is cleaned, normalized and treated with missing values to form a standardized dataset, and a feature vector is extracted;Input into the pre-trained gradient boosting decision tree model, and output the health grade prediction result of target ancient tree;The model takes minimizing the objective function as the training target, and iteratively trains;The objective function is composed of a loss function and a regularization term, including: weighted cross-entropy loss term, time smoothing regularization term;The system is used to implement the method.The application changes the health assessment of ancient trees from qualitative judgment relying on subjective experience to objective diagnosis based on multidimensional quantitative data and algorithm, significantly improving the scientificity of the evaluation result and the decision support value.

The application relates to the technical field of ancient tree health monitoring and rejuvenation planning, in particular to a UAV laser radar ancient tree famous tree accurate investigation and health monitoring method, which comprises the following steps: multi-angle and multi-height scanning is carried out around an ancient tree, point cloud data of the ancient tree is acquired, and ancient tree growth environment data is synchronously collected; based on the ancient tree growth environment data, improved straight-through filtering algorithm and RANSAC algorithm are fused to carry out denoising optimization processing on the ancient tree point cloud data, pure point cloud data of the main stem and side branches of the ancient tree is extracted, and an ancient tree three-dimensional model is constructed; based on the ancient tree three-dimensional model, core investigation parameters of the ancient tree are extracted, a preset growth model is combined, and the age of the ancient tree is estimated; according to a preset period, the laser radar equipment is used for re-measurement, the ancient tree point cloud data obtained at different periods is compared and analyzed with the core investigation parameters, and an ancient tree health monitoring report is generated in combination with the age of the ancient tree. The application is helpful for realizing normal health dynamic monitoring.

The invention relates to the technical field of nondestructive testing of materials, in particular to a method for detecting the health state of a tree based on stress waves, which comprises the following steps: acquiring geometric contour physical data of a trunk to be detected; based on the contour data and in combination with wave propagation analysis, operating an optimal sensor deployment algorithm, and calculating and determining an optimal deployment position of the intelligent sensor; stress wave excitation is carried out according to the deployment position, a stress wave response signal is collected, and then multi-dimensional waveform features are extracted; establishing a trunk section discrete model based on the geometric contour, calculating an acoustic detection path by adopting a fast marching method, and generating a geometric influence matrix; and fusing the multi-dimensional waveform features and the geometric influence matrix, reconstructing and generating an acoustic characteristic distribution diagram in the trunk to be detected through an iterative inversion algorithm, and segmenting a potential defect area based on the distribution diagram to complete the output of a health level assessment report. According to the method, through optimization deployment and multi-feature fusion inversion, the accuracy of analysis of the physical properties in the tree is improved.

The utility model relates to a garden tree lodging prevention device which comprises a C-shaped fixing ring seat and elastic lodging-resistant pieces, the multiple elastic lodging-resistant pieces are fixedly arranged on the inner edge of the C-shaped fixing ring seat in the circumferential direction with the central axis of the C-shaped fixing ring seat as the center, and a ring opening used for tightening the outer wall of a tree is defined by the top ends of the elastic lodging-resistant pieces. Firstly, the C-shaped fixing ring seats are connected end to end, surround the root of a tree and are fixed to the ground through bolts, the trunk of the tree can be elastically supported in multiple directions through the ring opening defined by the elastic lodging-resistant pieces, the ring opening can be enlarged along with growth of the tree, healthy growth of the tree is prevented from being affected, and adaptability is high.

A fruit harvesting barrel for hybrid hazelnut trees comprises a barrel body, a shovel plate, a swing rod, a composite pull wire and a first torsion spring, the barrel body is of a straight rod cylinder structure, an arc-shaped cutting board is arranged on one side of an upper end opening, a handle frame is installed at the lower end, the shovel plate is an arc-shaped plate body and is hinged to the barrel body corresponding to the arc-shaped cutting board, and a chopping knife is arranged on the front portion of the shovel plate. The front end of the chopping knife is an arc-shaped blade corresponding to the arc-shaped chopping board, the first torsion spring is arranged on a connecting hinged shaft between the shovel plate and the cylinder, the swing rod is hinged to the handle frame, one end of the swing rod is a pulling handle, the other end of the swing rod is a swing arm, and the composite pull wire is composed of a steel wire harness and a pull wire sleeve. According to the hazelnut picking device, the reliability and stability of the picking function can be guaranteed in production and application, the hazelnut picking device has the advantages of being easy to operate, convenient to use and good in controllability, the picking function is achieved in the mode that a chopping cutter is adopted to cut off fruit stems, the picking effect of hazelnut fruits can be improved, and tree health is guaranteed.

The utility model discloses an intelligent regulator for tree infusion, which relates to the technical field of garden tree maintenance and comprises an infusion bottle, a connecting port is inserted into the bottom of the infusion bottle, a filter component is fixedly connected to the inner side wall of the connecting port, an infusion tube is fixedly connected to the bottom of the connecting port, and the infusion tube is fixedly connected to the inner side wall of the connecting port. An intelligent regulation and control assembly is fixedly connected to one side of the top of the infusion tube, and a control assembly is inserted into one side of the middle of the infusion tube; through the arrangement of the filter assembly and the infusion tube, the effects of filtering and infusion are achieved when a person operates the device, the filter screen is a medical-grade fine filter screen, the mesh size of the filter screen is moderate, and impurity particles, incompletely dissolved medicine crystals and the like which possibly exist in an infusion bottle can be effectively intercepted; by means of the structure, infusion liquid can be finely filtered, impurities are prevented from entering an infusion tube and a tree catheter, the situation that a needle head is blocked, and infusion is difficult is avoided, and the effects of guaranteeing infusion smoothness and protecting tree health are achieved.

The invention discloses an ancient and famous tree health data acquisition method and system. The method comprises the following steps: acquiring image data; performing feature extraction on the image data to obtain first, second and third image color feature values and first, second and third pixel color feature values; calculating according to the image data, the first image color characteristic value and the first pixel color characteristic value to obtain sunlight intensities of different areas; performing calculation according to the second image color feature value, the third image color feature value, the second pixel color feature value and the third pixel color feature value to obtain a leaf area index; calculating according to the first pixel color characteristic value, the sunlight intensity of different regions, the leaf area index and a pre-stored meteorological condition influence parameter to obtain an ancient and famous tree health index; and analyzing according to the health index of the ancient and famous trees to obtain the health condition of the ancient and famous trees. According to the method, the influence of environment and weather on ancient tree health assessment is considered, and comprehensive data can be obtained.

The invention relates to the technical field of ecological funeral and interment and forestry carbon sink, in particular to a bone ash land bearing capacity assessment method and system based on tree species and intelligent monitoring. According to the method, a bone ash tolerance database of different tree species is established, a bone ash acid-base adjusting technology, a single-tree multi-position bone ash bearing capacity calculation model and a carbonized bamboo tube container degradation control system are combined, and a soil sensor network, a property right type associated tree sharing platform and a three-dimensional cadastre model carbon sink management system are integrated; and a complete intelligent tree burial solution is formed. According to the system, the bone ash bearing capacity is dynamically evaluated by monitoring soil parameter changes in real time, healthy growth of trees is guaranteed, and meanwhile accurate carbon sink metering and ecological value conversion are achieved.

The invention provides an all-around ancient tree health monitoring method and system based on the Internet of Things and the AI technology, and the method comprises the steps: collecting and preprocessing the physiological data of an ancient tree through a sensor, and extracting a disturbance index from the data through edge calculation based on millimeter wave radar point cloud frame data, and representing the behavior disturbance intensity of a current time step; initializing the health state variable of the ancient tree as the health state at the current moment, and inputting the health state into a pre-constructed dynamic recursion model to obtain a predicted health state variable of the ancient tree; sampling the millimeter wave radar point cloud frame data once per second, performing pre-clustering processing, constructing a graph neural network based on the target point cloud set, performing coding to extract a disturbance activation degree representing a current behavior risk, correcting a disturbance index according to the disturbance activation degree, and outputting a disturbance quantity; and calculating a comprehensive risk score, and dynamically generating a corresponding health response action based on the comprehensive risk score.

The utility model relates to the technical field of tree health detection, and discloses a portable tree health condition detector which comprises a box body, a box cover is connected to the top of the box body through a hinge, a handle is fixedly connected to the top of the box cover, and a containing groove is formed in the box body. A detector body is placed in the placement groove, limiting holes are formed in the two sides of the extension block, and a concave hollow block is fixedly connected to one end of the box body. According to the portable tree health condition detector, a detector body and a detection line are placed in a placement groove and a pay-off groove in a box body, then a box cover is closed, an adjusting rod drives a connecting plate to move downwards by moving the adjusting rod, and at the moment, an elliptical plate connected through a rotating shaft drives a movable plate to move in the middle; a limiting rod is inserted into a limiting hole to fix the box body and the box cover, so that the detector body is convenient to carry after being used by a worker.

The invention relates to the technical field of trunk processing, in particular to a micropore electric trunk injection machine for preventing and controlling peach fruit moths and a using method thereof.The micropore electric trunk injection machine comprises an injection machine body, the injection machine body is divided into a filling gun and an impact hammer, the impact hammer comprises a grip, a sliding rod is arranged at the end of the grip, an end is arranged at the end of the sliding rod, and a drill bit is arranged at the end of the end. An impact assembly is arranged on the outer wall of the sliding rod; the perfusion gun comprises a handle, a catheter is arranged in the handle, a push rod is arranged at one end of the catheter, a connector is arranged at the other end of the catheter, an injection needle is arranged at the end of the connector, and clamping assemblies are arranged on the outer wall of the perfusion gun and the end of the impact assembly. When tree trunk injection operation is carried out, the impact hammer is aligned with an injection part and then the clamping assembly is started, the initial stability is enhanced, the impact hammer drives the impact assembly to enable the clamping force to be higher during drilling, the drilling problem is avoided, and tree trunk damage is reduced; after drilling, the clamping assembly assists in fixing the filling gun, it is guaranteed that liquid medicine is accurately injected, and tree health is promoted.