52 results about "Plant Structures" patented technology

The utility model provides a kind of planting device for obtaining root soil complex cohesion detection sample, including two identical shape shell, shell upper and lower ends are provided with opening, shell side is provided with multiple holes, when using, two shell are oppositely arranged and are connected, to make two shell form a whole, shell one end forms planting mouth, shell other end forms water permeable mouth, connector is respectively connected on planting mouth and water permeable mouth, the connector of water permeable mouth is provided with net body, planting groove is formed between two shell, planting substrate is filled in planting groove inner shell, plant grows on planting substrate.The utility model can effectively avoid the restriction to plant root system growth, make plant root system growth close to natural state, by the setting of both sides and upper and lower ends slot, the stability of planting structure is improved, avoid the damage to root soil complex in planting structure, greatly reduce the influence on test result.

The invention is applicable to the technical field of agricultural monitoring, and particularly relates to an intelligent agricultural monitoring method and system, and the method comprises the steps: delimiting a target region needing to be subjected to pest and disease damage monitoring, dividing the target region into a plurality of regions, selecting a monitoring point, irradiating the regions through light source equipment which is deployed in the monitoring point in advance, and carrying out the illumination of the regions. Clustering the light source equipment into a fixed group and an adjustable group; and starting the light source equipment of the fixed group, collecting spectral reflectivity data at each monitoring point position, drawing a plurality of spectral curves, and identifying the variation trend of each spectral curve, wherein each wave band corresponds to one reflectivity. By starting the adjustable group, the illumination angle can be adjusted, the illumination coverage range can be optimized, the monitoring dead angle can be reduced, the monitoring requirements of different leaf orientations and plant structures can be met, the monitoring accuracy is greatly improved, and the crop disease and insect pest prevention and control efficiency and the intelligent level are improved.

The invention relates to a facility planting method for a pitched roof, which comprises the following steps: providing a plurality of planting boxes, cutting the bottoms of the planting boxes according to the inclination of a slope surface to be planted, and forming mounting holes in the lower parts of the planting boxes; blind pipes are provided, the blind pipes are installed on the slope surface according to the installation positions of the planting boxes, and the blind pipes are arranged corresponding to the to-be-installed positions of the installation holes; the planting box is placed on the slope surface, and the blind pipes are inserted into the mounting holes; the planting box is filled with soil, plants are planted in the soil, the structure is simple, and use is convenient.

The utility model discloses a kind of factory building structures of integrated multi-type stacking and loading machine, including factory building main body, vehicle passageway network and at least two different types of stacking and loading machine;Horizontal extension composite track system is equipped in factory building main body top, and composite track system includes at least three parallel guide rails;At least two different types of stacking and loading machine are slidably installed in composite track system respectively, and each stacking and loading machine includes body, material conveying unit and stacking execution mechanism, body is slidably installed in corresponding guide rail, material conveying unit is used to convey the material of production line to stacking execution mechanism, and stacking execution mechanism includes at least one of rotating mechanical arm, five flower stacking device, secondary lifting mechanism or double lower position sliding stacking gate;Vehicle passageway network is used to accommodate different specifications of transport vehicle to work simultaneously.The utility model technical scheme can adapt to different transport vehicle to carry out high-efficiency stacking and loading.

The invention discloses a rice leaf phenotype parameter extraction method. According to the method, firstly, collected rice three-dimensional point cloud data are preprocessed, then skeletonization processing is carried out, and a rice point cloud skeleton maintaining a topological structure is obtained; on the basis, identifying a blade tip point and a root node, and converting the skeleton into a graph structure; the method comprises the following steps of: endowing growth cost weights to edges of a graph, and extracting a plurality of blade central axes by taking a blade tip point and a root node as path end points; based on the central axis of a single blade, a corresponding single-blade point cloud can be segmented from an original point cloud, and then multi-dimensional phenotypic parameters such as the blade length, the blade width and the blade included angle are calculated. According to the method, high-throughput and high-precision leaf phenotype extraction under a complex plant structure is realized, and the crop breeding efficiency and the intelligent level of agricultural management are effectively improved.

The invention relates to a biscuit joiner (1) for producing a recess (2) in a workpiece (3) for receiving a biscuit (4), comprising a plant device (10) with a plant structure (11) for stationary mounting of the biscuit joiner (1) on the workpiece (3) during the production of the recess (2), two disc-shaped milling tools arranged parallel to each other (22a, 22b), a drive device designed to simultaneously set the milling tools (22a, 22b) into opposing rotary removal movements (24a, 24b) in order to jointly produce the recess (2) with the milling tools (22a, 22b), while the biscuit joiner (1) rests against the workpiece (3) with the support structure (11).

The utility model relates to the technical field of home decoration, and disclose a kind of indoor potted plant hanging pot of ladder type, including water receiving basin, support column, potted plant support platform, drainage structure, adjusting structure, first and second potted plant structure and suspension structure, the drainage structure in the central top of water receiving basin, by sink, drain and drain outlet, can effectively discharge excess moisture, avoid plant root waterlogging and rot, the telescopic rod and sliding hole of adjusting structure, can be flexibly adjusted support platform spacing according to the size and space layout of potted plant, the potted plant support platform of ladder type is provided with first, second potted plant structure, can simultaneously show multiple different potted plants, increase spatial level and aesthetic feeling, the suspension structure of support column top, through top plate and Y-shaped hook, it is convenient to hang hanging pot, save space, the hanging pot solves the problem that traditional indoor potted plant is placed and space utilization is insufficient, drainage is not smooth etc., and it has the advantages of beauty and practicality, and brings better experience for home decoration.

FIELD: agriculture.SUBSTANCE: used in growing plants in phytomodules, in “carpet” and container vegetal walls. The substrate for growing plants in vertical phytostructures includes expanded vermiculite, zeolite-containing tripoli from the Khotynetsky deposit, and deoxidized high-moor peat, in the stated quantitative ratio.EFFECT: production of light, nutritious, loose, breathable soil that retains moisture well, contains silicon necessary for plants in a form accessible to them, and has a high ion-exchange capacity.1 cl, 1 tbl, 2 ex

This invention discloses a method and system for point cloud completion of complex plant structures based on an end-to-end network. The method constructs a hierarchical geometric encoder to extract and fuse multi-scale geometric features and global shape context features from an incomplete input tree point cloud. A seed generator then generates a coarse point cloud containing the main skeleton of the tree. A cascaded tree growth module progressively upsamples the coarse point cloud, and dynamic deformation constraints ensure that the upsampling process conforms to the natural growth pattern of trees, ultimately outputting a structurally complete and realistically shaped tree point cloud. Furthermore, this invention addresses the scarcity of real, complete tree point cloud data by fusing UAV and ground-based LiDAR scanning data, providing high-quality supervisory data for model training. This effectively solves the problems of insufficient semantic understanding, loss of detail, and morphological distortion in existing point cloud completion methods when dealing with complex tree branch structures, significantly improving completion accuracy and morphological fidelity.

Methods and systems for enhancing the biosynthesis of plant-derived compounds, including medicinal compounds, activate plant defense mechanisms by a combination of growth in red and blue light, mechanical injury of leaves or other plant structures, and / or administration of plant defense hormones to the plants. For compounds derivable from biochemical reactions between precursors stored in different parts of a plant or plant tissue, yield and ease of production are further enhanced through in situ activation of enzyme reactions in harvested plant tissues, thereby avoiding the need to purify and react the isolated precursors. The production methods increase yield, reduce the number of production steps required, and improve the safety of the production process. The methods are suitable for use in greenhouse or modular farm environments.

This invention provides a real-time bending and shaping method for virtual plants based on adjustable stiffness weights. The method involves configuring virtual plant parameter information and generating a parameterized plant model. The parameter information includes at least plant parameter information, plant control parameter information, and environmental parameter information. When the interactive mode is activated and the plant end is dragged, the end of the plant model is acquired and fixed at the target dragged position. Based on the target dragged position, the dragged virtual plant structure undergoes weighted inverse dynamic bending processing and interpolation. Based on the updated dragged virtual plant structure, other branch structures of the virtual plant are updated synchronously. The overall updated virtual plant structure is subdivided and subjected to Catmull-Rom curve interpolation. The interactive mode is then terminated, and the currently updated virtual plant structure is solidified. This invention uses gradual stiffness, mass curves, and weak bending moment constraints to make the bending shape of the virtual plant highly similar to the stress on real branches.

The invention relates to a ground planting structure identification method and system and a medium, and the method comprises the steps: constructing a multi-source image spectrum time sequence curve of crops planted on a ground monitoring point; constructing a multi-source remote sensing image'observation value-time sequence 'multi-channel feature map of the monitoring point; constructing and forming a sample data set for deep learning model analysis input; constructing a ground planting structure identification deep learning model based on a ViT deep learning model, and training the planting structure identification model to determine model parameters; the ground range is divided into grids according to space intervals, the crop type in each grid is judged through the constructed planting structure recognition model, and the ground planting structure recognition result grid is output, so that the accuracy of ground planting structure recognition is improved, the application range of the method in satellite remote sensing monitoring is expanded, and the application range of the method in satellite remote sensing monitoring is expanded. The method has a very good promotion effect on deep application of satellite remote sensing, artificial intelligence and geographic information technologies in the fields of agricultural remote sensing and agricultural water resource management.

The application discloses a kind of crop planting structure space-time deviation degree quantification method, comprising the following steps: step S1: collection basic data;Step S2: data preprocessing while uniforming space-time scale;Step S3: construction crop pixel scale crop planting structure characterization vector;Step S4: construction crop planting structure multidimensional space difference measure model;Step S5: construction reference period crop planting space distribution variance function;Step S6: construction standardized Euclidean distance evaluation model;Step S7: construction crop planting structure space-time deviation degree extraction model;Step S8: extraction crop planting structure space-time deviation degree spatial distribution;The application solves the problem that existing method is limited to static area extraction or single crop type change detection, and systematic deviation identification is insufficient for multi-crop combination planting mode.

The disclosure pertains to methods and compositions for the rapid and efficient transformation of plants. The disclosure further provides methods for producing a transgenic plant, comprising (a) transforming a cell of an explant with an expression construct comprising (i) a nucleotide sequence encoding a WUS / WOX homeobox polypeptide; (ii) a nucleotide sequence encoding a polypeptide comprising two AP2-DNA binding domains; or (iii) a combination of (i) and (ii); and (b) allowing expression of the polypeptide of (a) in each transformed cell to form a regenerable plant structure in the absence of exogenous cytokinin, wherein no callus is formed; and (c) germinating the regenerable plant structure to form the transgenic plant. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present disclosure.

The application provides a stair vibration isolation structure suitable for a pumped storage power station plant, which comprises a plant structure and a stairwell structure arranged in the plant structure, a plant structure column is arranged in the plant structure, and a plurality of plant structure plates forming each floor are arranged on the plant structure column; a hollow part is arranged in the plant structure plate along the laying direction of the stairwell structure; a partition space is arranged between the stairwell structure and the hollow part, and an anti-vibration joint part is arranged at the side end of the hollow part of the plant structure plate, so that the plant structure and the stairwell structure form an independent bearing state. The application can cut off the influence of the operation of the pumped storage unit on the weak structure of the plant, reduce the anti-vibration technical difficulty of the weak structure, and greatly improve the operation environment of the plant traffic passage.

The invention relates to the technical field of intelligent monitoring, and particularly discloses a plant growth state intelligent monitoring method and system, and the method comprises the following steps: S1, enabling an imaging device to make circular motion, and constructing a change function of the height of the imaging device along with the circular motion duration; s2, presetting a sampling period, enabling an imaging device to periodically shoot plant pictures, constructing a three-dimensional model of a plant, marking a detection area, and obtaining plant structure features in the detection area; s3, constructing a comparison matrix, and calculating a comprehensive color value of the comparison matrix; and S4, screening an abnormal matrix through the comprehensive color value, calculating the proportion of the abnormal matrix, marking first-level pictures according to the proportion of the abnormal matrix, and analyzing the growth condition based on the number of the first-level pictures and the number of the pictures of the same structure. According to the method, potential problems in a plant growth process are identified through construction of a comparison matrix, calculation of a comprehensive color value, screening of an abnormal matrix and an analysis process based on a first-level picture proportion.

The utility model discloses a multi-layer planting frame for pepper seedling raising, and relates to the technical field of peppers. The multi-layer planting frame for pepper seedling raising comprises a moving device, a cultivation frame is arranged on the inner side of the moving device, and a planting structure is placed in the cultivation frame. According to the multi-layer planting frame for pepper seedling culture, the cultivation frame and the planting structures are arranged, the multiple planting structures are subjected to integrated cultivation through the cultivation pipes and the communicating pipes which are obliquely arranged on the tripod, and then planting soil of pepper seedlings can be irrigated in cooperation with the draw-off pump and the backflow pipe; according to the design of the planting frame, illumination and irrigation conditions required by growth of the pepper seedlings are considered, and each planting structure can be fully illuminated and uniformly watered through reasonable layout and structural design, so that healthy growth of the pepper seedlings is promoted, and the survival rate of the pepper seedlings is increased.

This invention relates to a method for adding a primary flue gas system to an existing plant structure, comprising the following steps: S1: Setting up vertical hoisting channels; S1.1: Setting up a first vertical hoisting channel and a second vertical hoisting channel; S1.2: Setting up a third vertical hoisting channel; S2: Setting up hoisting mechanisms; S3: Installing and positioning the fixed flue; S4: Installing and positioning the middle flue; S5: Installing and positioning the second tail flue; S6: Temporarily storing the equipment; S7: Installing and positioning the first tail flue; S8: Installing and positioning the spray tower; S9: Installing and positioning the absorption tower; S10: Restoring the first hoisting hole on the first platform and the fourth hoisting hole on the second platform, and dismantling the first hoisting mechanism and the second hoisting mechanism. This invention enables the installation of the primary flue gas system equipment within the confined space formed by multi-layered platforms in a plant structure, without affecting the normal production of adjacent converters, with minimal impact on the stability of the plant structure, and without affecting the normal operation of existing facilities within the plant structure.

The embodiment of the specification discloses a flower pollination method and device based on binocular vision and a medium, relates to the technical field of flower pollination, and the method comprises the following steps: collecting point cloud data of a to-be-pollinated plant of a to-be-pollinated plant, determining a plant type of the to-be-pollinated plant and a plurality of target plant structures of the to-be-pollinated plant, determining a structure attribute of the target plant structure, determining at least one to-be-pollinated pistil in the plant flower of the plurality of target plant structures according to the structure attribute of the target plant structure; based on the leaf position of each plant leaf, the center point position information of the to-be-pollinated pistil and the position information of the execution starting point of the pollination execution device acquired in advance, a pollination sequence of the plurality of to-be-pollinated pistils is generated; acquiring real-time environmental parameters of the to-be-pollinated plant, generating pollination parameters of the to-be-pollinated plant through the plant type of the to-be-pollinated plant and the real-time environmental parameters, and realizing flower pollination based on the pollination sequence of the plurality of to-be-pollinated pistils and the pollination parameters.

The invention, which belongs to the technical field of image processing and plant disease and insect pest detection, discloses a three-dimensional point cloud reconstruction-based plant structure disease and insect pest three-dimensional detection system comprising a neural radiation field three-dimensional reconstruction module, a plant organ semantic segmentation module, a hidden disease three-dimensional detection module and a disease three-dimensional quantitative evaluation module. A three-dimensional Gaussian sputtering technology is adopted to generate a high-density point cloud model, organ-level semantic segmentation is realized, geometric features and texture features are combined to carry out multi-dimensional disease analysis, diseases and insect pests of hidden parts such as leaf backs, stem base inner sides and fruit interiors are effectively detected, the total detection rate of the diseases and insect pests is improved by 38.5%, and the measurement precision is within 5%. And a scientific basis is provided for health assessment and precise prevention and control of garden plants.

The application discloses a production collaborative scheduling method and system based on a multi-level petrochemical plant structure, relates to the field of petrochemical industrial production control, and comprises the following steps: collecting operation data of each production device under multiple preset working conditions according to the hierarchical structure of a to-be-scheduled plant system, and respectively constructing energy consumption models of each production device under the multiple preset working conditions for representing the relationship between energy medium production and consumption and processing capacity of the corresponding production device under the corresponding preset working condition; constructing a scheduling planning model of the plant system with the maximum scheduling profit of the plant system as an optimization target; wherein, the scheduling planning model comprises a target function and multiple operation scheduling constraints; at least one operation scheduling constraint is constructed based on the energy consumption models of each production device under the multiple preset working conditions; and the scheduling planning model is solved to obtain a scheduling plan, and the production of the plant system is collaboratively scheduled according to the scheduling plan. Through implementation of the application, the scheduling accuracy of petrochemical production can be improved.

The utility model discloses a planting structure top plate water storage flow guide device which comprises a water storage tank and a planting top plate, the planting top plate is arranged at the top end of the water storage tank, the four walls of the water storage tank are communicated with flow guide pipes, and connecting bases are fixedly installed at the positions, close to the two ends, of the left wall and the rear wall of the water storage tank. Connecting blocks are fixedly installed at the positions, close to the two ends, of the right wall and the front wall of the water storage tank, and clamping blocks are fixedly installed on the inner walls of the connecting bases. According to the water storage and flow guide device, the water storage tanks, the planting top plate, the flow guide pipes, the connecting bases, the clamping blocks, the fixing bolts and other parts are arranged and matched, the function of connecting the water storage tanks is achieved, the connecting mode of the water storage and flow guide devices in the prior art is improved, and therefore when the bolts are loosened or damaged, the water storage and flow guide devices can be connected conveniently. A plurality of water storage and flow guide devices are still kept connected, so that the normal use of the water storage and flow guide devices is ensured, and the practicability of the water storage and flow guide devices is improved.

The invention belongs to the technical field of computer vision measurement, and particularly relates to a tomato seedling phenotype measurement method based on a high-precision three-dimensional reconstruction technology, and the measurement method comprises the following specific steps: 40 tomato seedlings are randomly selected and numbered for subsequent measurement, 20 tomato seedlings are used for training a segmentation model, and the other 20 tomato seedlings are used for evaluation; according to the method, from the cotyledon stage to the five-leaf stage of tomato seedling growth, the rotary shooting platform is matched with the GoPro camera, and the seedlings are shot from multiple angles. Then, image feature extraction and matching are carried out by using COLMAP, corresponding key points among multiple views are identified, and sparse reconstruction is carried out to estimate a camera attitude. On the basis, the Toma-NGP provided by the invention designs adaptive Hash fusion (PAAH) of plant structure perception and sparse SfM depth consistency regularization (SDC), and high-quality point cloud reconstruction is realized.

The application is suitable for the technical field of agricultural monitoring, and particularly relates to a smart agricultural monitoring method and system.The method comprises the following steps: delimiting a target area requiring disease and pest monitoring, and dividing the target area into a plurality of sections, selecting monitoring points, irradiating the sections by using light source devices previously arranged at the monitoring points, and clustering the light source devices into a fixed group and an adjustable group; starting the light source devices of the fixed group, collecting spectral reflectance data at each monitoring point, wherein each wave band corresponds to a reflectance, drawing a plurality of spectral curves, and identifying the change trend of each spectral curve.The application can adjust the irradiation angle, optimize the light coverage, reduce the monitoring dead angle, meet the monitoring requirements of different leaf orientations and plant structures, greatly improve the monitoring accuracy, and improve the disease and pest control efficiency and intelligent level of crops.

The utility model relates to the technical field of simulation plants, and discloses a suspension type simulation plant structure which comprises a flowerpot, evenly-distributed installation blocks are fixedly connected in the flowerpot, simulation flowers are connected in the installation blocks in a clamped mode, an annular protruding strip is fixedly connected to the outer wall of the flowerpot, a hooking assembly is installed on the outer portion of the flowerpot, and the annular protruding strip and the hooking assembly are connected in a clamped mode. The hooking assemblies are used for changing the hanging mode of the simulation plant, connecting cylinders are fixedly connected to the interiors of the four positions of the upper side of the interior of the flowerpot, rotating rods are rotatably connected to the interiors of the connecting cylinders, baffles are fixedly connected to the exteriors of the two ends of each rotating rod, and torsional springs sleeve the two sides of the exterior of each rotating rod; and the outer part of the rotating rod is rotationally connected with a winding roller. According to the artificial flower hanging device, the artificial plant can be hung in different modes according to needs, the use convenience and practicability are improved, the artificial flower can be rapidly and conveniently installed and replaced, and the installation firmness of the artificial flower is ensured.

The present application relates to the technical field of forest and grass resources identification, and particularly relates to a forest and grass resource accurate identification method based on image analysis, comprising the following steps: step S1: collecting multi-view sequence images of target forest and grass sample plots, synchronously acquiring real-time positioning data, shooting posture parameters and environment site basic data corresponding to the sample plots; step S2: uniformly preprocessing the collected sequence images; step S3: matching feature points, positioning and posture data based on the sequence images; step S4: multi-scale segmentation of the standardized images, extracting the contours and feature parameters of different types of vegetation targets such as trees, shrubs and herbaceous plants; step S5: completing forest and grass species classification, resource parameter inversion and health grade determination based on the extracted feature parameters, and outputting the forest and grass resource investigation results matched with geographic coordinates. The present application is free from the limitation of physical scales, is suitable for multi-plant structure detection, and realizes full-plant parameter calculation without the constraint of close-range targets.

The invention discloses an agricultural planting structure intelligent evaluation and optimization method and system oriented to a local inpatient area, and the method comprises the steps: collecting inpatient area related data and agricultural planting data of a preset area, building a health risk and nutrition attack coupling evaluation model according to the agricultural planting data, the inpatient area related data and a fungaltoxin risk index, and carrying out the evaluation of the health risk and nutrition attack coupling evaluation model. Obtaining a health vulnerability score, and performing adaptive adjustment on the preset region to obtain a region health vulnerability score threshold; obtaining regional adjustment data according to the health vulnerability score and the regional health vulnerability score threshold, constructing a crop and nutrition mapping matrix according to the crop detection data, and constructing a regional nutrition safety planting index according to the crop and nutrition mapping matrix and agricultural planting data; and carrying out planting structure optimization according to the nutritional and safe planting index and the regional nutritional and safe planting index by adopting a localized nutrient enrichment strategy to obtain an agricultural optimized planting structure.

The utility model discloses a plant culture device with a controllable water level. The plant culture device comprises a water tank and a culture box, a water storage cavity is formed in the water tank, and a water inlet assembly and a water drainage assembly which are communicated with the water storage cavity are further arranged on the water tank; the culture box is erected in the water storage cavity, a gap is formed between the culture box and the bottom of the water storage cavity, a culture cavity used for culturing plants is formed in the culture box, and a water seepage structure used for enabling water in the water storage cavity to seep into the culture cavity is arranged on the bottom wall and / or the side wall of the culture box; a humidity sensor used for detecting the water seepage height of the culture cavity is arranged on the inner wall of the culture box, and the humidity sensor is used for sending a signal to start the drainage assembly when the water seepage height of the culture cavity reaches a preset value. The plant cultivation device with the controllable water level can achieve automatic water supply and accurately adjust the water seepage height of soil, facilitates screening or cultivation of plants with root systems of different depths, and is simple and efficient in structure, low in cost and high in applicability.

The invention relates to the technical field of planting roofs, and discloses a planting roof arrangement structure which is characterized in that the top of a structural plate is provided with a top face and covered with a waterproof layer, a water storage and drainage layer and a planting soil layer, and plants are planted; a drainage channel penetrating through the structural plate up and down is formed in the structural plate, and upwards penetrates through the waterproof layer and the water storage and drainage layer to form a top opening; the top opening is covered with a water filtering frame in a sealed mode to form a drainage cavity. A water filtering cavity is formed in the periphery of the water filtering frame and communicated with the drainage cavity, the water filtering cavity is filled with a water filtering material to form a water filtering layer, and the water filtering layer is provided with water filtering gaps; the planting soil layer abuts against the periphery of the water filtering cavity and communicates with the water filtering cavity. Water in the planting soil layer is filtered by the water filtering layer, permeates into the drainage cavity and enters the drainage channel through the top opening; through the synergistic effect of the drainage channel, the water filtering frame, the water filtering cavity and the water filtering layer, the drainage effect is improved, the service life of the roof is prolonged, and important technical support is provided for development of the roof planting technology.