52 results about "Quadrat" patented technology

The invention belongs to the technical field of forestry engineering, and provides a castanopsis hystrix improved variety and eucalyptus mixed forest litter resource regulation and control method, which comprises the following steps: setting a quadrat region based on a castanopsis hystrix and eucalyptus mixed forest, and dividing an ecological conflict region; calculating a litter load threshold value of the ecological conflict area and dividing a high-load area; regulating and controlling litters in the high-load area, and performing demand analysis based on the regulated and controlled high-load area to obtain a decomposition demand coefficient; judging whether the high-load area is a strong decomposition area or not, performing secondary regulation and control on the strong decomposition area, obtaining a periodic decomposition rate and judging whether the periodic decomposition rate accords with expectation or not; if so, acquiring related growth data of the castanopsis hystrix in the regulation and control region twice, and performing growth analysis on the castanopsis hystrix to obtain an average growth index; evaluating the growth state of the castanopsis hystrix based on the average growth index; the method is beneficial for improving the pertinence and effectiveness of ecological management of the mixed forest.

The application discloses a kind of coral reef area benthic biomass evaluation method, belong to marine ecological monitoring and evaluation technical field.The present application includes reef sample collection, reef coverage determination, reef effective attachment area measurement, benthic separation and collection, biological sample moisture treatment and weight weighing and six steps of biomass evaluation calculation.The present application is complete reef sample by stratified random sampling, and reef coverage is obtained using sample belt image interpretation, and effective attachment area is determined by measuring the length, width and height parameters of reef or three-dimensional laser point cloud, and the wet weight of species is weighed after separation, classification and standardization dehydration, and the benthic species biomass per unit area is calculated by combining reef coverage, species wet weight and effective attachment area, and the total benthic biomass per unit area and benthic species density can be further calculated.The present application is mainly used for benthic biomass evaluation in different habitat types of coral reef area, and can improve the accuracy and repeatability of evaluation results.

The foldable portable herbal quadrat frame comprises a first connecting rod, a second connecting rod, a third connecting rod and a fourth connecting rod, a first limiting groove is formed in one side of the first connecting rod, a second limiting groove is formed in one side of the second connecting rod, a first limiting assembly is arranged on one side of the fourth connecting rod, and a second limiting assembly is arranged on one side of the third connecting rod. A second limiting assembly is arranged on one side of the third connecting rod, and the two ends of the first connecting rod are rotationally connected with the second connecting rod and the fourth connecting rod through first connecting pieces correspondingly. The ends, away from the first connecting rod, of the second connecting rod and the fourth connecting rod are rotationally connected with the two ends of the third connecting rod through second connecting pieces correspondingly. Compared with the prior art, the foldable portable herbaceous quadrat frame is simple and easy to operate, has the advantages of being convenient to carry and store, and is higher in speed and efficiency when being used for investigating a large number of herbaceous quadrat.

This invention addresses the common problems in existing technologies for determining the succession stage of vegetation communities in ecological restoration areas, such as high misjudgment rates using single indicators, lack of scientific basis for threshold classification methods, and insufficient comprehensiveness and accuracy of determination results. It proposes and discloses a more comprehensive and accurate method for determining the succession stage of vegetation communities in ecological restoration areas. This method first systematically obtains multi-dimensional indicator data, including plant community structural characteristics, soil functional attributes, and ecosystem functional performance, through quadrat surveys. Then, it constructs a three-level indicator system comprising a target layer, a criterion layer, and an indicator layer. The relative weights of each determination indicator are scientifically determined using the analytic hierarchy process (AHP), and a comprehensive succession index is finally calculated. Based on pre-established criteria for determining the succession stage of vegetation communities, the specific succession stage of the plant community can be accurately and objectively determined.

This invention relates to a LiDAR-based non-destructive method for estimating stand biomass in complex forests, comprising: dividing the sample plot area to be tested into several small quadrats; locating the CGCS2000 geographic coordinates of the center point of each tree within each quadrat; calculating the maximum crown length of each tree; uniformly arranging several sampling points within each quadrat, scanning the trees within the quadrat at different angles using LiDAR, obtaining the relative coordinates (TLS) of the trees at each sampling point within each quadrat, and stitching them together; converting to the CGCS2000 coordinate system to obtain the complete tree point cloud of the sample plot; obtaining the point clouds of trees of different species within the sample plot using TLS and CORS-RTK; and estimating the stand volume and biomass of any single tree and all trees within the sample plot.

The utility model belongs to the field of ecological environment, and particularly relates to a device for vertically determining a quadrat center point in a riverside and lakeside zone, which comprises a support frame, a support rod and a laser transmitter, a fixing structure is arranged on the laser transmitter, the laser transmitter is connected on the support rod through the fixing structure, and the support rod is connected with the support frame; the supporting rods are provided with a plurality of sections, and the adjacent supporting rods are movably connected. The laser transmitter is arranged on the supporting rod, so that the problem that the error of the quadrat center point is large due to the fact that the vertical investigation quadrat center point needs to be determined through manual horizontal wire pulling in existing river and lakeside shoreline monitoring work is solved; by arranging the fixing structure on the laser transmitter, the purpose of flexibly adjusting the height of the laser transmitter can be achieved; and by arranging a plurality of sections of supporting rods which can be connected and arranging an adjuster on the supporting frame, the device is convenient to store and carry.

The invention relates to the technical field of ecological monitoring and digital agriculture, in particular to a grassland ecological restoration digital evaluation system and method. The method comprises the following steps: collecting a remote sensing vegetation index sequence and ground quadrat biomass data, and aligning the remote sensing vegetation index sequence and the ground quadrat biomass data according to a unified time index to obtain a synchronous observation sequence; constructing an adaptive calibration relationship between the vegetation index and the ground quadrat biomass based on the synchronous observation sequence; therefore, by constructing a full-link digital process from multi-source data fusion, adaptive calibration, multi-scale dynamic feature extraction to quantitative score generation, the problems that traditional grassland ecological restoration assessment depends on manual interpretation, the static model deviation is large, and the process is non-traceable are solved; the objectivity, the accuracy, the timeliness and the decision support capability of the evaluation result are improved.

The invention relates to the technical field of soil wind erosion quadrat collection, in particular to a soil wind erosion quadrat collection device and a collection method.The soil wind erosion quadrat collection device comprises a material distribution box, a sample distribution mechanism is installed in the material distribution box, the sample distribution mechanism comprises a material taking window, and the material taking window is formed in the side portion of the material distribution box; a first motor is fixedly installed on the side portion of the material distribution box, the first rotating shaft is rotatably installed in the material distribution box and fixedly connected with the output end of the first motor, a first gear is fixedly installed on the surface of the first rotating shaft, and the second rotating shaft is rotatably installed in the material distribution box. Through the arrangement of the sample separation mechanism, it can be guaranteed that the weight and uniformity of obtained samples are roughly the same, a second motor drives a third rotating shaft to drive a discharging plate and a sample separation plate to rotate synchronously, multiple sets of discharging pipes are in accurate butt joint with a sample separation barrel, and loss caused by soil scattering is avoided.

The utility model relates to a grassland quadrat frame for unmanned system monitoring, which comprises a square frame formed by connecting four side rods, each side rod is provided with a center hole, the side surface of each center hole is provided with a through hole A and a through hole B, the through hole A and the center hole are arranged on the same horizontal line, the through hole B and the center hole are arranged on the same vertical line, and the through hole A and the through hole B are arranged on the same vertical line. The center hole is connected with one end of a ruler through a pin shaft, and scales are arranged on the side rod and the ruler. When the height of the grassland vegetation needs to be measured, the scaleplate rotates around the center hole by rotating the scaleplate until the arc-shaped groove B is completely clamped with the clamping pin B, at the moment, the scaleplate is perpendicular to the square frame, and the height of the grassland vegetation is immediately measured through the scales on the scaleplate.

The invention discloses a method for measuring carbon reserve of celery more accurately and simply, and belongs to the technical field of agricultural ecological carbon sink measurement. The method comprises the following steps: firstly, collecting a celery sample in a quadrat, measuring plant height, stem diameter and relative chlorophyll content (SPAD value), then obtaining the fresh weight of an overground part through destructive sampling, and constructing a three-parameter fresh weight prediction model containing H, Dand SPAD by utilizing multiple regression; secondly, performing non-destructive field measurement in a to-be-measured area to obtain plant heights, stem diameters and SPAD values of a large number of samples, and substituting the plant heights, the stem diameters and the SPAD values into the model to calculate the predicted fresh weight of a single plant; and finally, combining the planting density and the carbon content conversion coefficient to calculate the carbon reserve of the celery in unit area. According to the method, the defects that a traditional drying method is high in destructiveness and long in period are overcome, the model prediction precision is remarkably improved by introducing SPAD physiological indexes, rapid, in-situ and low-cost measurement of the celery carbon reserves is achieved, the relative error can be controlled within 5%, and the method is suitable for accurate accounting of farmland carbon sequestration.

The invention discloses a method for improving production performance of grazing Tan sheep by utilizing ground-source feed, and relates to the technical field of improvement of productivity of the grazing Tan sheep and reasonable utilization of natural grassland, and the method comprises the following steps: selecting grassland with community vegetation coverage of more than or equal to 60%, plant overground net primary productivity of more than or equal to 100g / m < 2 >, and taking stipa brachycarpa or desertleweed as dominant species as grazing grassland; setting a continuous grazing group, a continuous grazing and supplementary feeding corn granule group and a continuous grazing and supplementary feeding caragana microphylla granule group, and respectively measuring body weight gain dynamic data, grazing behavior data and body size index data of the Tan sheep in each treatment group; and respectively monitoring the grassland plant overground net primary productivity and species richness of each treatment group by adopting a quadrat determination method, and determining whether the plant overground net primary productivity of each treatment group is lower than a desert grassland degradation warning threshold value or not. Ground-source feed utilization, grazing parameter optimization and grass and livestock cooperative monitoring are combined, and grassland ecological safety can be ensured while the production performance of the grazing Tan sheep can be improved.

The present application belongs to the technical field of pasture quality evaluation, and particularly relates to a method for evaluating pasture quality condition based on a multi-element comprehensive index, which comprises selecting a plurality of sample plots on a grassland, applying the same mineral element with different concentrations to plant communities of different sample plots; determining the yield of different plants in the plant community of each sample plot at the highest biomass period of the grassland; measuring the content of each mineral element of different plants in each sample plot, and calculating the weighted average content of each mineral element at the community level according to the content of each mineral element of different plants in the sample plot; determining the standardized nutrient concentration of each sample plot; determining the expected nutrient stability of each sample plot; evaluating the pasture quality condition according to the changes of the standardized nutrient concentration and the expected nutrient stability caused by the same mineral element with different concentrations applied to different sample plots, and determining how to apply the mineral element to the pasture in the subsequent process according to the pasture quality condition, which has guiding significance for improving the quality of the pasture.

The invention provides a natural ecosystem investigation method. The natural ecosystem investigation method comprises the following steps: S1, acquiring a high-resolution remote sensing image and DEM data, and dividing ecosystem types; s2, typical ecological problems of the ecological system are determined, sample plot design and sample plot dynamic arrangement are carried out, investigation points are arranged in a sample plot, and sampling analysis is carried out; and S3, performing data analysis according to the plaque partition map, the sample plot location map and the remote sensing image map. According to the dynamic survey method combining quadrat / transect and sampling point actual ground survey, the mutual verification of ground, remote sensing and model data is realized by combining a satellite remote sensing and model simulation technology with multiple data sources, typical / important ecological problem partitions in a watershed ecosystem range are found out and verified, and a watershed ecological system is established. Support is provided for design and implementation of the ecological engineering project, and a data index basis is provided for acceptance of the ecological engineering project.

The invention discloses a vegetation-soil-microorganism synergistic remediation treatment method for a stony desertification slope, and relates to the technical field of soil remediation, and the method comprises the following steps: S1, precise evaluation of site conditions: uniformly arranging 10m * 10m quadrats on a target slope by adopting a GPS positioning and field sampling combined method, and measuring the slope, rock exposure rate, soil thickness and soil organic matter content (SOM); s2, vegetation three-dimensional configuration and field planting: selecting local stress-tolerant species, and constructing a three-dimensional community according to a plant / cluster number ratio of (2-4): (2-4): (3-5); according to the method, vegetation-soil-microorganisms are regarded as an organic whole, a synergistic mutual promotion mechanism of the vegetation, the soil and the microorganisms is systematically constructed, the vegetation fixes a carbon source through photosynthesis, root exudates nourish the microorganisms, the soil provides a physical carrier and a basic environment for the vegetation and the microorganisms, and the microorganisms supply energy to the vegetation through nutrient conversion; and a forward circulation of vegetation soil fixation, soil bacterium cultivation and microbe vegetation promotion is formed.

The invention discloses a soil respiration monitoring method based on field gradient warming, which belongs to the technical field of soil respiration monitoring, and comprises the following steps: (1) selecting an old forest in a subtropical evergreen broad-leaved forest to construct an experimental sample plot, and setting 20 triangular quadrat in total; (2) carrying out gradient temperature increasing on the quadrats by adopting a triangular frame heating method, setting five gradient temperature increasing treatments, setting four quadrats for each treatment, and collecting the soil temperature and volumetric water content of the experimental sample plot; and (3) arranging a breathing ring seat which is not embedded into the soil and a breathing ring seat which is embedded into the soil by 50 cm in each quadrat, placing the static box on the breathing ring seats, extracting and storing gas in the static box, detecting the collected gas by using an FID (Flame Ionization Detector) of a gas chromatograph, obtaining the CO2 concentration, and then calculating soil respiration and component data thereof. According to the method, the soil respiration and the component data thereof under gradient temperature increase can be obtained, and technical support is provided for revealing the response rule and mechanism of the soil respiration to the gradient temperature increase in the subtropical forest.

The utility model relates to the technical field of grassland ecology monitoring quadrat tools, and discloses a portable grassland ecology monitoring quadrat tool which comprises a main connecting rod, the inner wall of the main connecting rod is connected with a pull rod in a sliding mode, the bottom end of the pull rod is connected with an auxiliary connecting rod through a buckle assembly, and the auxiliary connecting rod is used for limiting the auxiliary connecting rod after rotation is finished. The inner walls of the auxiliary connecting rods are connected with the main connecting rods through caliper assemblies so that the main connecting rods can be disassembled and assembled, fixing assemblies are arranged on the inner walls of the auxiliary connecting rods so that the tool can be fixed to the current position, and the outer walls of the auxiliary connecting rods are rotationally connected to the inner walls of the main connecting rods. According to the utility model, through the design that the auxiliary connecting rod is shrunk into the main connecting rod in a rotatable manner, the size of the tool is reduced, so that the tool is convenient to carry, meanwhile, the operation is simple during installation, and the installation of the tools is facilitated, so that the working efficiency is improved, and the accuracy of monitoring data is improved.

The application relates to the technical field of ecological protection and restoration, and discloses a multi-star lily and competitive species interaction regulation and population natural renewal restoration method and system, which comprises the following steps: based on multi-period sample plot monitoring data, a multi-star lily-competitive species dynamic model containing non-integer time lag and nonlinear density index is established; nonlinear filtering is adopted to perform state online estimation on noise-containing monitoring data, and state estimation values and uncertainty measurements thereof are output; according to the state estimation values and the uncertainty measurements thereof, rolling optimization regulation and decision-making are performed through scene analysis and weight construction based on gradient difference; the natural renewal restoration potential is evaluated, and the grade of auxiliary measures is determined; and the restoration scheme is dynamically adjusted in a monitoring-estimation-decision-implementation-remonitoring closed loop. The application can be used for competitive regulation and ecological restoration of a multi-star lily degraded population in a karst mountain meadow, and the stability of the multi-star lily degraded population restoration is improved.

The present application relates to the technical field of intertidal zone ecological monitoring and computer vision application, and discloses a device and method for rapidly obtaining intertidal zone seaweed biomass. The device comprises: a positioning calibration module, which aligns the projection laser mark auxiliary image acquisition area with the quadrat area; an image acquisition module, which acquires seaweed images in the quadrat; and a data processing module, which calls a deep learning segmentation model to perform pixel-level segmentation and species identification on the images, calculates the coverage of each type of seaweed according to a preset scale, and combines the species correction coefficient K in the density correction coefficient database to calculate the biomass of each type of seaweed and obtain the total biomass of the quadrat. The device replaces the traditional in-situ acquisition with non-contact image acquisition, realizes pixel-level identification of seaweed through a deep learning segmentation model, rapidly calculates the biomass in combination with the density correction coefficient, significantly improves the investigation efficiency, reduces the labor cost and the safety hidden danger of operation, and realizes non-destructive observation of seaweed communities.

The utility model relates to ecological sampling device field, specifically disclose a telescopic adjustable quadrat, including outer tube, inner tube, T joint and clamping strip, the number of outer tube, inner tube and T joint is at least four, and the inner tube cover is established in the outer tube, and the T type right end of T joint is connected with one end of outer tube, and the T type left end of T joint is provided with first clamping slot and cover and is established in one end of inner tube, and one end of inner tube is provided with second clamping slot, and the other end of inner tube is connected with the bottom end of another T joint, and the other end of outer tube is slidably connected with inner tube, and the other end of outer tube is provided with third clamping slot, and the clamping strip is multiple, and one end of clamping strip is in abutment in second clamping slot, and the other end of clamping strip is in abutment in inner tube. The quadrat structure is stable, and can telescopic adjustment, and is easy to dismount.

The invention discloses a grassland accurate mowing stubble height determination method based on species component analysis, and the method comprises the steps: setting a quadrat in each experiment cell of a target grass mowing field, and carrying out the species investigation of plants in the quadrat; collecting the plant height in each quadrat; the plants with the natural heights measured are cut flush with the ground; the cut fresh grass is dried to constant weight and weighed, and the overground biomass of all species in each quadrat and the total biomass of the quadrat are obtained; for each quadrat, calculating the reference utilization rate of all species at a given height by using an iterative dichotomy and combining the average height, the above-ground biomass and the quadrat total biomass, and taking the given height corresponding to the reference utilization rate meeting a tolerance condition as a target stubble height; and determining the arithmetic average value of the target stubble height corresponding to each quadrat as the recommended stubble height. According to the method, the cutting utilization rate can be accurately and scientifically predicted and controlled, and the dual purposes of sustainable utilization of grassland resources and ecological protection are achieved.

The invention discloses a forest fire risk prediction method based on a weighted stacking model. The method comprises the following steps: S1, dividing a target area into a plurality of grids; s2, a first square is arranged in each grid or on each grid intersection point, soil is taken in each first square, and a soil layer flammability index is calculated; s3, meshes with representativeness are screened, second quadrats are arranged in the meshes with representativeness respectively, litters are collected in the second quadrats respectively, and the flammability index of a litter layer is calculated; s4, calculating the flame retardant index of the canopy according to the forest stand characteristics in the target area and the combustion characteristics of the branches and leaves of the tree species; s5, after the post-fire growing season of the forest fire area is finished, screening representative grids, and calculating fire resistance indexes of different tree species according to the diameters of all scorched trunks and sprout tillers in the representative grids and the total number of the trunks and the sprout tillers; and S6, standardizing the index data, and dividing the index data into a plurality of grades to obtain a fire risk grade.

The invention discloses an urban and rural gradient plant community configuration method based on a leaf functional character response model, and the method comprises the steps: dividing a target research region into a plurality of gradient regions based on a plurality of preset indexes; collecting plant leaves of different plant types meeting a preset condition in the quadrat of each gradient region, and obtaining a leaf function character index of each plant leaf; performing dimension reduction processing on the leaf functional character indexes through principal component analysis, and extracting a plurality of main leaf functional characters in each gradient region; based on the functional traits of the main guide leaves, obtaining the adaptability evaluation value of each plant species to each gradient region; and according to the adaptability evaluation value, screening the plant species meeting the adaptability condition in each gradient region, and constructing a multi-level plant configuration mode in combination with the lifestyle and landscape function of the plant species. According to the method, a scientific basis is provided for ecological adaptive planting by evaluating the adaptability of different plant varieties to different urban and rural gradient environments.

This invention discloses a method for monitoring the number of trees in a region based on a cross-scale nested model. The method includes: regional partitioning and quadrat layout based on satellite remote sensing data; acquiring UAV imagery of the quadrats, automatically identifying and counting the number of trees within each quadrat using a deep learning object detection model, and generating quadrat labels; extracting the corresponding satellite multidimensional features of the quadrats and aggregating them to the quadrat scale; constructing and training a machine learning regression model using the quadrat feature vector as the independent variable and the quadrat label as the dependent variable; and applying the trained model to global satellite feature data to achieve spatial inversion and mapping of the number of trees in the region. This invention, through a two-layer nested architecture of UAV deep learning and satellite machine learning, achieves a scale conversion from high-precision quadrat calibration to high-efficiency regional inversion, solving the problems of high cost and low efficiency of traditional survey methods, as well as insufficient accuracy of single remote sensing methods.

The utility model discloses a plant community quadrat investigation device, and relates to the technical field of plant quadrat measurement instruments. The plant community quadrat investigation device comprises a main rod, a shooting device and a boundary positioning rod group, wherein the shooting device is arranged at the upper end of the main rod and can move, the boundary positioning rod group is arranged at the lower end of the main rod and used for being placed on the ground to delimit the quadrat boundary, and the boundary positioning rod group comprises two boundary telescopic rods capable of extending outwards. According to the application, the boundary telescopic rod is adopted to delimit the range of the quadrat, the shooting device is matched to obtain related data while vegetation is not damaged, and the boundary positioning structure and the shooting device which can be telescopically stored are adopted, so that the stored equipment is smaller in size and more convenient to carry; the telescopic inserting rod is matched with the telescopic supporting rod set so that the whole main rod can be more stable, the device is suitable for uneven quadrat, when a plant community quadrat where some people cannot enter is investigated, investigation analysis can be completed only by erecting the device at one corner of the quadrat, operation is easy, and the device is portable and efficient.

The present application provides a kind of intertidal zone beach benthic animal intelligent identification and density monitoring method and device, in the target area of investigation light beach, multiple independent sample quadrats are laid according to random way, video is collected using unmanned aerial vehicle and is pretreated;In uniform video environment, the identification and spatial scale calibration of sample quadrat are carried out synchronously, and the target identification of beach benthic animal is carried out;The actual beach area corresponding to the video picture is determined according to the sample quadrat identification result, and the representative quantity and biological density of the species are calculated based on the identification result of target species using median statistical method.The non-contact, automatic and high-precision monitoring of intertidal zone beach benthic animal is realized through the cooperative application of unmanned aerial vehicle aerial photography and improved YOLO identification model, the interference of artificial investigation is reduced, the stability, accuracy and monitoring efficiency of density estimation are improved, and it is suitable for large-scale, high-frequency investigation and monitoring of intertidal zone beach benthic animal resources.

The present application relates to the technical field of environmental monitoring and soil analysis, and specifically relates to a detection method and system for improving the water holding function of ecological restoration, which aims to accurately measure the soil saturated hydraulic conductivity and effective water content at the regional scale, to adaptively estimate the observation error of each remote sensing pixel by collecting multi-temporal and spatial remote sensing data and ground plot monitoring data in the ecological restoration area and the control area, to obtain preliminary simulation results by running the water holding function simulation module, to dynamically correct the model state variables by using the ensemble Kalman filter algorithm to fuse the remote sensing soil moisture data at the monthly or quarterly cycle, to optimize the key parameter field of the model based on the corrected state sequence, and finally to generate the spatialized quantitative evaluation results and visual report of the water holding function improvement amount by comparative analysis. The present application realizes the indirect, large-scale and accurate measurement of the key hydraulic parameters of soil, and is mainly used for the accurate and spatialized detection and evaluation of the water holding function improvement effect after the implementation of the ecological restoration project.

This invention discloses a method for estimating grassland plant beta diversity based on airborne hyperspectral remote sensing technology. Several 1x1m quadrats are uniformly distributed within the survey area, their location information is recorded, and the beta diversity index is calculated. Hyperspectral remote sensing images of the survey area are acquired, with an image resolution of 0.25m, and each quadrat covers 16 pixels. The 16 pixels covered by each quadrat are sorted according to the normalized difference vegetation index. Multi-pixel spectral angles and multi-pixel spectral distances between quadrats are calculated. The image is resampled to the quadrat size. The single-pixel spectral distances between quadrats are calculated. A multiple regression model is constructed with multi-pixel spectral angles, multi-pixel spectral distances, and single-pixel spectral distances as independent variables and beta diversity as the dependent variable. Applying this model to the entire remote sensing imagery allows for the acquisition of vegetation beta diversity at any location within the survey area, making it suitable for estimating plant beta diversity over large areas in grassland regions.

This invention discloses an intelligent statistical method for tea pest quadrats based on an improved instance segmentation network. The method includes: acquiring images of tea quadrats with black borders and cropping them to obtain images within the borders; extracting new leaf regions based on vegetation index thresholds to construct a sample set; training an improved instance segmentation network using the sample set. This network includes a backbone network, a neck network, and a detection head connected sequentially. The backbone network input layer adopts a dual-branch structure fusing edge detection and spatial information extraction; the neck network adopts a fusion structure constructed from SPDConv and CSPOK; and the detection head adopts a shared convolutional lightweight structure. The image of the quadrats to be statistically analyzed is input into the trained network to obtain instance segmentation results for healthy leaves and pest-infested leaves, and the quadrat situation is statistically analyzed. This invention improves the accuracy of small target leaf recognition in complex backgrounds, enabling intelligent statistical analysis of tea garden pest quadrats and reducing reliance on manual labor.

The utility model belongs to the technical field of vegetation ecological investigation, and particularly relates to a detachable portable aquatic plant quadrat frame. The quadrat frame comprises a frame rod piece, a primary hinge and a secondary hinge; one side of the frame rod piece is connected with the primary hinge, and the other side of the frame rod piece is connected with the secondary hinge; the primary hinge is matched with the secondary hinge; a hinge connecting shaft is arranged on the secondary hinge, and the hinge connecting shaft is a rectangular shaft; a connecting groove is formed in the upper part of the frame rod piece and is connected with the supporting telescopic rod; scale marks are arranged on the supporting telescopic rod and can be used for measuring the size of a plant, and the supporting telescopic rod can be selectively installed or not installed according to requirements. The detachable portable aquatic plant quadrat frame provided by the utility model is simple in structure, simple in disassembly and assembly processes and convenient to store and carry, and a user can quickly complete quadrat arrangement during field investigation.

The invention discloses a multi-terrain herbaceous layer investigation quadrat frame in the technical field of vegetation investigation. The quadrat frame comprises a center shaft supporting piece used for being vertically inserted into the ground to provide a vertical reference, a horizontal positioning assembly, a self-adaptive defining assembly, a tensioning assembly and other structures. The horizontal positioning assembly is arranged at the top end of the center shaft supporting piece and comprises four sets of positioning rods capable of being horizontally rotated and unfolded, every two positioning rods are perpendicular to each other in the horizontal unfolding state, and the tail ends of the four sets of positioning rods correspond to the four vertexes of the quadrat to be detected on the horizontal projection plane. The self-adaptive defining assembly comprises balancing weights and boundary ropes, the balancing weights are arranged at the tail ends of all the sets of positioning rods respectively, the boundary ropes penetrate through all the balancing weights in a sliding mode and form a closed loop, and the tensioning assembly is arranged on the positioning rods. The determination process of the horizontal projection area is tedious due to the dependence on manual compensation and conversion, and the field investigation precision and efficiency are low.