554 results about "Canopy" patented technology

The invention discloses a variety breeding and early-season high-yield cultivation technology for actinidia arguta. The variety breeding and early-season high-yield cultivation technology includes procedures of 1 variety selection, 2 seedling propagation, 3 field planting, 4 underground management, 5 pest control and 6 pruning. Seedling propagation carried out in a step 2 includes collecting and storing cuttings and performing root cutting on the cuttings in sunlight greenhouses, particularly, root cutting is performed on the cuttings in the nutrient pots, and greenwood cutting is performed on the cuttings. Compared with the prior art, the variety breeding and early-season high-yield cultivation technology has the advantages that seedlings are raised in the sunlight greenhouses by means of root cutting, so that the seedling growth time can be prolonged, the seedlings are healthy and are high in growth potential after being planted, and a foundation is laid for early and high yields; frame surfaces are replaced by small canopy frames, and accordingly operation and management can be facilitated.

The invention relates to a method for inverting vegetation parameters by remote sensing based on reflection spectrum wavelet transform. The method comprises the following steps of: 1) acquiring the vegetation parameters and the original spectrum thereof under different conditions, and performing spectrum transform on the original spectrum; 2) performing continuous wavelet transform on the original spectrum by using different wavelet functions, and generating wavelet coefficients with different frequencies; 3) performing stepwise regression by taking different scales of wavelet coefficients as independent variables and taking the vegetation parameters as dependent variables, selecting spectrum wave bands needed by the inversion of the vegetation parameters, constructing a model of quantitative inversion of the vegetation parameters, and calculating R2 of the model; and 4) comparing modeling R2 of the constructed model according to different wavelet decomposition scales, and determining the model with the maximum modeling R2 as the optimal model. By the method, the hyperspectral remote sensing inversion precision of the vegetation parameters can be obviously improved, and the remote sensing inversion precision of biochemical parameters can be improved preferably. The method has wide parameter applicability, is applicable to leaf or canopy reflection spectrum, and is applicable to satellite remote sensing hyperspectral data.

The present invention provides a method for deep fertilizer-application of the fruit tree by punching holes. According to the diameter of the crown of the fruit tree, a cavity hole with the diameter of 20 cm and the depth of 40 to 50 cm is punched every one meter on the circumference 20 cm to 30 cm outside the drip line of the crown range of the tree body, and then according to the growth of the fruit tree in different seasons, the fertilizer is put into the hole and then the fruit tree is watered. The fertilizer released by the present invention is the nitrogenous fertilizer, the phosphorus fertilizer, the potash fertilizer and the organic fertilizer; the ratio between the total quality of the nitrogenous fertilizer, the phosphorus fertilizer and the potash fertilizer and the diameter of the tree crown for every fruit tree is 1m/5kg to 1m/6kg; and the ratio of the nitrogenous fertilizer, the phosphorus fertilizer and the potash fertilizer is 3/4/2. The method of the present invention induces the root of the fruit tree to be deepened in the earth to absorb the nutrition and the water, thereby guaranteeing the effective absorption of the fertilizer, increasing the drought-resistant ability of the fruit tree, strengthening the growth and improving the yield.

The invention discloses a ridge film-mulching soil moisture preservation and rainwater collection ditch water collection method based on a dry land fruit tree root system soil hydrothermal environment. Ridges are inwardly made in the vertical projections of crowns, rainwater collection ditches are outwardly dug in the vertical projections of the crowns, fertilization ditches are inwardly dug close to the rainwater collection ditches, black mulching films are spread at the beginning of thawing, and roots are exposed within a range between 3cm and 5cm around the roots of tree bodies; mulching films are spread on the sloped ridge surfaces, and are fixed by longitudinal batten-shaped earth; the films are removed in time in the rainy season in order to keep a good soil environment. The method is based on the rainfall characteristics of local regions, a fruit tree moisture utilization principle and the keeping of a good root zone environment. The technique is easy to operate, the cost is low, and the method has the technical effects of water preservation, water storage, evaporation resistance, centralized moisture utilization, water-promoted fertilization and keeping of the good root zone environment. The method is suitable for apple trees, peach trees, pear trees, grapevines and other fruit trees of different ages in arid regions, and can promote the activity of the root systems of fruit trees and accelerate the growth of saplings and the formation of tree shapes, ensure the stable and increased yield of grown fruit trees and increase the quality of fruits.

The invention relates to a cold-resistant excellent lance-leaved red anise strain cutting propagation technology for evergreen broad-leave ornamental tree species illicium lanceolatum, which comprises the steps of sterilizing a cutting pond; mixing mediums which consist of peat soil, pearlite, sand and vermiculite according to volume ratio of 1:1:1:1, sterilizing a seedling bed by using potassium permanganate solution with concentration being 0.5 percent, sterilizing the mediums by using 50% Mildothane 800-time solution and keeping the thickness of cutting mediums to be 30cm; selecting annual shoots at the middle part of the sunny side of a crown, keeping the length of the shoots to be 10cm to 12cm and cutting off one half of leaves at the top end of the shoots for cutting; using IAA50ppm+IBA50ppm to treat scions and soaking 3cm-long to 4cm-long lower part of the shoots for cutting for 24 hours; keeping cutting depth to be 4cm to 5cm, keeping cutting density with row spacing being 6cm * 8cm and using a sprinkling can to spray water to enable the shoots for cutting to be in full contact with the mediums; and arranging a sunshade net and an automatic spray device above the cutting pond to reduce illumination intensity and increase air humidity, and in the first month after cutting, keeping daytime relative humidity above 65 percent to 80 percent. The survival rate of cut shoots can reach 80 percent. By using the annual shoots and after hormone treatment, the propagation of cold-resistant excellent lance-leaved red anise strains can be conducted rapidly, the method is simple, the operation is simple, the survival rate is high and the like. The technology not only can provide technical supports and excellent strain seedlings for the popularization and the application of lance-leaved red anises which are evergreen broadleaved ornamental trees, but also can provide references for the cutting propagation of the cold-resistant excellent strains of other trees.

The invention discloses a method for assisting in identifying wheat canopy temperature characteristics and a special primer group thereof. The invention provides the specific primer group, wherein theprimer group is composed of a primer A as shown in a sequence 1, a primer B as shown in a sequence 2 and a primer C as shown in a sequence 3. The invention further discloses the method for identifying the canopy temperature characteristics of to-be-detected wheat; the method comprises the following steps that genotypes, based on specific SNP, of the to-be-detected wheat are detected; a canopy temperature of the wheat with a CC genotype is lower than that of the wheat with an AA genotype. The invention further discloses the method for identifying the canopy temperature characteristics of to-be-detected wheat; the method comprises the following steps that genome DNA of the to-be-detected wheat is used as a template, the primer group is adopted for KASP, fluorescence scanning is conducted todetermine genotypes, based on the specific SNP, of the to-be-detected wheat, and the canopy temperature of the wheat with the CC genotype is lower than that of the wheat with the AA genotype. The method for assisting in identifying the wheat canopy temperature characteristics and the special primer group thereof can be used for screening wheat with good canopy temperature characteristics and playan important role in culturing drought-resistance wheat varieties.

The invention relates to a plant population canopy porosity measuring device and method. The plant population canopy porosity measuring device comprises a frame, an adjusting mechanism, a laser ranging mechanism, a walking mechanism and a control system, wherein the frame is used for supporting and fixing other devices; the adjusting mechanism is used for driving the laser ranging mechanism to move on an XY horizontal plane; the laser ranging mechanism is used for measuring the distance between a plant leaf and a ranging mechanism; the walking mechanism is used for driving the frame to walk; the control system is used for controlling walking, adjustment and ranging of the plant population canopy porosity measuring device. Through a canopy porosity automatic measuring way, online measurement of the plant population canopy porosity is realized; a control system capable of automatically calculating and measuring porosity is adopted, so that online evaluation of the plant population canopy porosity is realized.

The invention discloses a transformation method for low-yield Camellia oleifera Abel forests, and belongs to the technical field of forest culture and management. By taking the technical measures of pruning, reclamation, fertilization, canopy replacement and the like for old Camellia oleifera Abel forests, the Camellia oleifera Abel yield of the Camellia oleifera Abel forests is substantially increased, and the problems that for the old Camellia oleifera Abel forests, the number of parasitic branches is large, the forest form declines gradually, soil fertility is reduced, the yield is low and unstable, the land output rate is low, and land resources are wasted are effectively solved. The method includes the concrete steps of shaping and pruning, proper thinning, full cultivation and scarification reclamation, summer shallow hoeing and intertillage, fertilization, canopy replacement, sprout regeneration, pre-planting regeneration, enhancement of disease and pest prevention and treatment, and bee breeding in the forests. The method has the advantages that by taking the technical measures for the old Camellia oleifera Abel forests, the plant type of the Camellia oleifera Abel forests is rationalized, the number of robust branches is large, forest stand nutrition conditions are improved, soil fertility in the forests is improved, moisture is accumulated, diseases and pests are reduced, root extension is promoted, the pollination rate is increased, and therefore the yield of the Camellia oleifera Abel forests is substantially increased; the Camellia oleifera yield is increased to 35-45 kg per mu from 5-8 kg per mu and is increased by 5-8 times, the yield is high and stable, and therefore the high and stable yield effect is achieved.

The invention discloses a method for measuring a canopy gap three-dimensional structure based on laser radar. The method includes a first step of obtaining and pre-treating laser radar data which is remote sensing data obtained by laser radar loaded on a fixed wing aircraft or an unmanned aerial vehicle, the data of each laser point including X, Y, Z coordinate data and echo intensity data, a second step of processing canopy layer data, a third step of identifying canopy gaps, and a fourth step of measuring a three-dimensional canopy gap structure. The method is easy to realize, and is not affected by surveyed land and forest types and ground situations. Rapid, accurate, large-scale and multi-dimensional canopy structure measurement can be realized.

The invention relates to a plant growth precision control method based on a production base. The plant growth precision control method comprises the steps of: 1, carrying out monitoring and photographing on a plant, acquiring plant images, and recognizing a current growth stage of the plant according to image recognition processing; 2, performing spectral analysis on the shot plant pictures, determining growth characteristics of the plant, wherein the growth characteristics comprise a coupling relation between canopy leaves of the plant and nutrient elements; 3, collecting environmental factors in a planting region, and determining the environmental factors correspondingly matched with each growth stage of the plant according to the environmental factors; and 4, forming growth environmentfactors according to the current growth stage of the plant in combination with the growth characteristics and the environment factors, matching a growth management and control model corresponding to the growth stage according to the growth environment factors, and controlling and adjusting the growth environment factors of the plant according to the growth control model. According to the plant growth precision control method, the plant production operation and maintenance level is improved, the personnel labor is reduced, the labor cost is reduced, and factory planting of plants is realized.

The invention belongs to the field of agricultural plant protection machinery, and relates to an apparatus and method for automatically adjusting a spray air volume based on a tree crown canopy volume. The apparatus comprises a speed sensor, a laser scanner, brushless fans, a fan drive, and a signal control module, wherein the speed sensor is installed at the front of a sprayer and faces the ground, and is used to detect an operating speed of the sprayer, the laser scanner is arranged at the front of the sprayer and is used to collect tree crown information of fruit trees on two sides of the sprayer, the brushless fans are installed at the rear of an atomizing spray head of the sprayer, the fan drive is connected with the brushless fans to drive the brushless fans to provide a variable airvolume for the atomizing spray head. The apparatus can automatically collect the tree crown information of the fruit trees on two sides of tree rows, and automatically and independently controls a revolution speed of each single fan according to air volume algorithm, so that the air volume supply on demand is realized, the pesticide utilization rate and deposition uniformity are improved, and thereby the environmental pollution and personal injury to an operator caused by pesticide drift in the pesticide application process are reduced.

The invention belongs to the technical field of rice plant total-nitrogen measurement, relates to a method for rapid measurement of rice plant total nitrogen, and particularly relates to a rice planttotal-nitrogen estimation method based on a canopy structure and a canopy spectrum. The objective of the method is to overcome a technical problem that experimental rice plant total-nitrogen testing methods at present are destructive and poor in timeliness. The method includes rice canopy spectrum measurement, rice canopy structure parameter collection, nitrogen content measurement, data processing, construction of a normalized differential vegetation index NDVI, building of a model that is the production of the rice plant total-nitrogen content, the rice plant height and the number of rice plant stems is equal to 0.6998e<4.0599NDVI>, and calculation of the plant total-nitrogen content of rice to be measured according to the NDVI of the rice to be measured, the corresponding rice plant height and the number of rice plant stems. The method utilizes the relationship between the vegetation index and the plant total nitrogen content to achieve rapid measurement of the plant total nitrogencontent.

The present invention provides a fruit tree canopy illumination distribution calculation-based clipping evaluation method. The method comprises the following steps that: in each of any two years in N years before a current year for clipping evaluation, a sample tree and a tree under test are clipped in the same way in the spring, and sprout, thereafter, the box counting dimensions of the three-dimensional point cloud data of the canopy of the sample tree in cubic grids at different positions and the illumination intensity or relative illumination intensity of the sample tree in each grid during a canopy curtain stable phase are obtained, and a mathematical model is established; and the illumination intensity or relative illumination intensity distribution result of the canopy curtain stable phase of the tree under test in the current year for clipping evaluation is predicted through the mathematical model, and whether the fruit tree is clipped properly is evaluated. The method has the advantages of quickness, convenience, reasonable calculation method, high accuracy and suitability for automatic programming, and can greatly improve work efficiency and reduce the labor intensity of the workers.

The invention provides a non-growing season grass and livestock balance evaluation method based on an unmanned aerial vehicle LIDAR aerial survey technology. The defect that dry vegetation and herbivorous animal information cannot be monitored through traditional satellite remote sensing can be effectively overcome; grassland balance monitoring is carried out for grassland in a withered grass period; the method comprises the following steps: classifying LIDAR point cloud data of the unmanned aerial vehicle based on a terrain extraction method of slope-angle-distance limitation, and calculatinggrassland vegetation coverage and canopy height in a non-growing season according to ground points and vegetation points obtained by classification to realize grassland above-ground biomass inversionin the non-growing season; based on an object-oriented and supervised classification method, obtaining parameters such as an available forage grass proportion and a grassland reasonable utilization rate, and calculating a theoretical livestock capacity; calculating the actual livestock capacity according to the herbivorous animal types, the herbivorous animal quantity and the sheep unit conversion formula of each animal; and finally, according to the theoretical livestock carrying capacity and the actual livestock carrying capacity, calculating the overload rate, the available days of the remaining forage grass and the forage grass amount needing supplementary feeding, and completing the evaluation of the non-growing season grass and livestock balance condition.

The invention provides a plant point cloud blade segmentation and phenotypic characteristic measurement method, comprising the steps: firstly, performing accurate point cloud three-dimensional reconstruction on potted plants by using a multi-view stereoscopic vision algorithm; secondly, removing non-blade parts in the plant point cloud by using a region and color-based filter and a normal vector difference algorithm; and then realizing single-blade segmentation on the canopy with the blade overlapping phenomenon by means of curvature information and a multi-feature region growth algorithm. Foreach single blade, a 3D bounding box of the blade is estimated by utilizing PCA, and the blade inclination angle can be calculated as an included angle between the height direction of the bounding box and the Z axis of a crop coordinate system, and the blade length and the blade width are the length and the width of the bounding box. The plant point cloud blade segmentation and phenotypic characteristic measurement method can realize automatic blade segmentation of potted plants with overlapped and clustered blades, has high precision and real-time performance for extracting phenotypic information such as blade area, blade length, blade width, blade inclination angle and the like, and is suitable for high-throughput blade phenotypic analysis.

The invention discloses a fertilizing method and a fertilizing device for fruit-bearing forests in mountainous regions. The fertilizing method includes the steps of a, computing fertilizer component ratios and consumption according to varieties and growth periods of fruit trees and preparing fertilizers; b, designing different sizes of fertilizer hoppers according to fertilizing amount for the fruit trees; c, selecting multiple fertilizing points according to the total fertilization amount of every tree; d, perforating by a steel chisel or drilling rod, and embedding one or more fertilizer hoppers into holes; e, filling the fertilizer hoppers with the fertilizers. Every fertilizer hopper comprises a hopper body and a hopper cover which are both made of anticorrosive materials such as metal and plastics, the diameter of the hopper body ranges from 10 mm to 200 mm, the height of the hopper body ranges from 50 mm to 500 mm, the lower end of the hopper body is round or conical, a plurality of leaking holes 1-10 mm in diameter are formed in the sidewall and the bottom of the hopper body, and the hopper cover is bright in color.

The invention provides a crop group canopy chlorophyll fluorescence three-dimensional distribution information acquisition method and device. The device comprises a Cropobserver group photosynthetic chlorophyll fluorescence measurement device, a 3D camera and a computer system, wherein the 3D camera is connected with the computer system, Visual studio 2017 and MATLAB 2018 are operated in the computer system, and the Visual studio 2017 calls a point cloud library and a computer vision library to realize three-dimensional visualization of chlorophyll fluorescence information of crops to be detected. According to the invention, the problem of incomplete distribution of acquired two-dimensional chlorophyll fluorescence information is solved, overall 3D visual distribution of crop canopy chlorophyll fluorescence distribution is realized, and important technical support is provided for acquisition and research of three-dimensional visual distribution information of canopy chlorophyll fluorescence of the whole plant.

The invention discloses a method for transplanting big trees in summer. On the basis that operations are performed in strict accordance with Urban Landscaping Construction and Acceptance norms, the method also comprises the following technical measures of (1) retaining freshness of tree bodies before transplantation; (2) earthing and covering ground around tree trunks after the transplantation; (3) spraying tree crowns in the day and evening. According to the method disclosed by the invention, a sunshade net does not need to be built and a spray facility does not need to be installed for each big tree, and therefore, the production cost can be greatly reduced. Meanwhile, the survival rate of the big trees can reach 95-100 percent, a very significant greening effect is achieved, and waste of big tree resources is avoided.

The invention provides a corn waterlogging disaster assessment method and system based on an unmanned aerial vehicle laser radar. The method comprises the steps that through LIDAR point cloud data, which are acquired in advance, of a corn planting area, the corn point cloud data of the corn planting area and ground point echo point cloud data are acquired; the canopy height information of the corn planting area is acquired according to the corn point cloud data and the ground point echo point cloud data; waterlogging disaster grading is carried out on the canopy height information of the corn planting area to acquire the waterlogging disaster assessment result of the corn planting area. The system comprises a point cloud data acquisition module, a canopy height information calculation module and a waterlogging disaster assessment module. According to the technical scheme of the invention, the occurrence range and the degree of a corn waterlogging disaster can be objectively and quickly monitored, which provides a technical support for the assessment and after-disaster recovery of the corn waterlogging disaster.

The invention belongs to the field of agricultural plant protection machinery, in particular to a method for automatically adjusting the flow rate of a sprinkler of a profiling variable spraying system of a spraying machine. The invention aims to provide a method for automatically adjusting the flow rate of the sprinkler of the profiling variable spraying system of the spraying machine. PWM control signals are adopted to adjust the flow rate of the sprinkler and the air flow of a fan which is used for assisting transportation of sprayed droplets, the flow rate of the sprinkler and the air flowof the fan are set according to the type of a tree crown, and a spray bar can be adjusted according to the growth trend of the crown so as to achieve profiling spraying, so that the utilization rateof pesticide is improved effectively, the uniformity of deposition of a chemical liquid on a canopy is improved, and environmental pollution and personal injury which are caused by the drifting pesticide are reduced in the spraying process. The method has the characteristics of good applicability, high working efficiency, fast response to a control system and precise application of pesticide, andpromotion of pesticide-saving technologies is facilitated.

The invention discloses a robust segmentation method for determining deciduous forest tree-level parameters by adopting an airborne laser radar. The invention relates to the technical field of forestresource monitoring. The method comprises the following steps: 1, ; carrying out low-altitude flight laser radar scanning and hollow flight laser radar scanning on the deciduous forest area and respectively acquiring Leaf-on data and Leaf-off data; preprocessing and analyzing the Leaf-on data, and then obtaining crown parameters by adopting a multi-threshold segmentation method; carrying out the preprocessing and analysis of the Leaf-off data, and separating all trunk radar points; the method comprises the following steps: obtaining trunk radar points of a deciduous forest, clustering the obtained trunk radar points to obtain trunk parameters, matching the crown parameters with the trunk parameters to obtain single trees, segmenting and describing the single trees, and extracting tree-level structure parameters from the single trees to complete the determination of the tree-level parameters of the deciduous forest. According to the method, multi-threshold segmentation and a trunk detection method are combined, so that the accuracy of tree-level parameter extraction can be improved.

The embodiment of the invention provides a plant saline-alkali stress degree detection method and device. The method comprises the following steps: acquiring near infrared spectrum data of a to-be-detected plant; performing feature extraction on a plurality of feature wavelengths in the near infrared spectrum data to obtain feature data of each feature wavelength; inputting the characteristic dataof each characteristic wavelength into a preset radial basis function neural network model, and determining the saline-alkali stress degree of the plant to be detected according to an output result of the radial basis function neural network model, wherein the radial basis function neural network model is obtained after training by taking a known saline-alkali stress degree as a near infrared spectrum data sample of a label. Compared with an existing method, the method has the advantages that excessive measuring equipment is not needed, only near infrared spectrum data need to be obtained, and therefore canopy blades cannot be damaged. Meanwhile, through the trained neural network, the saline-alkali stress degree can be simply, conveniently, efficiently and accurately detected.

The invention discloses an unbalanced data set processing method based on a C-K-SMOTE algorithm, and the method comprises the steps: carrying out the quick approximate clustering of a few types of samples through a Canopy algorithm, and obtaining a series of canopy clusters; then re-clustering the canopy cluster by using a K-means clustering algorithm to obtain a precise clustering cluster, and finally performing interpolation processing based on the precise clustering cluster by using an SMOTE algorithm, thereby increasing the number of minority class samples to enable the data samples to tend to be balanced. According to the unbalanced data set processing method based on the C-K-SMOTE algorithm, the unbalanced data set can be effectively balanced; the effectiveness of newly generated samples is guaranteed, an original data distribution mode is reserved, the problem of boundary fuzziness does not exist, and the problem of blindness of neighbor sample selection is avoided through a modified SMOTE algorithm interpolation formula. According to the invention, organic fusion of the Canopy algorithm and the K-means algorithm is realized; the K-means re-clustering is utilized to solve the problem of low clustering precision of the Canopy algorithm, and meanwhile, the Canopy clustering is utilized to overcome the problems that the clustering cluster number of the K-means algorithm isdifficult to determine and the initial center is too random.