571 results about "Canopy" patented technology

A table umbrella apparatus has a base, a table affixed to the base, a canopy support by the base a distance above the table, and an air treating means positioned in the base for delivering a flow of air outwardly of the base. The air treating system includes a fan, a motor drivingly connected to the fan, a reservoir positioned in the base, and a pump cooperative with the water in the reservoir for passing a flow of water across air urged by the fan. An aspen wood intake filter is positioned in the base so that the air is urged by the fan across this intake filter.

A plant growing system configured for high density crop growth and yield, including an environmentally-controlled growing chamber and a vertical growth column within, the column configured to support a hydroponic plant growth module which is configured for containing and supporting plant growth media for containing and supporting a root structure of at least one gravitropic crop plant growing therein and for detachably mounting to the vertical growth column, the hydroponic plant growth module including a lateral growth opening to allow the plant to grow laterally through toward a light emitting source, a nutrient supply system to direct aqueous crop nutrient solution through an upper opening of the hydroponic plant growth module, an airflow source to direct airflow away from the growth opening and through an under-canopy of the plant, so as to disturb the boundary layer, and a control system for regulating, at least one growing condition in an area in or adjacent to the under-canopy.

A method for estimating the aboveground biomass of rice based on multi-spectral images of an unmanned aerial vehicle (UAV), including: normatively collecting UAV multi-spectral image data of rice canopy and ground measured biomass data; after collection, preprocessing images, extracting reflectivity and texture feature parameters, calculating a vegetation index, and constructing a new texture index; and by stepwise multiple regression analysis, integrating the vegetation index and the texture index to estimate rice biomass, and establishing a multivariate linear model for estimating biomass. A new estimation model is verified for accuracy by a cross-validation method. The method has high estimation accuracy and less requirements on input data, and is suitable for the whole growth period of rice. Estimating rice biomass by integrating UAV spectrum and texture information is proposed for the first time, and can be widely used for monitoring crop growth by UAV remote sensing.

The invention discloses a method and a system of three-dimensional reconstruction of a shape structure of trees in a leaved state. The method comprises acquiring three-dimensional point cloud data of trees and carrying out preprocessing and simplifying processing to obtain simplified three-dimensional cloud data set of the trees, carrying out organ segmentation to the simplified three-dimensional point cloud data set of the trees to obtain the three-dimensional point cloud data of each organ, wherein the three-dimensional point cloud data of each organ comprise the three-dimensional point cloud data of a leaf organ, the three-dimensional point cloud data set of a main trunk, the three-dimensional point cloud data set of a main branch and the three-dimensional point cloud data set of a sprout, extracting the frameworks of limbs of the trees according to the three-dimensional point cloud data set of the main trunk, the three-dimensional point cloud data set of the main branch and the three-dimensional point cloud data set of the sprout and optimizing the frameworks of the limbs of the trees, carrying out meshing to the frameworks of the limbs of the trees to generate a three-dimensional mesh model of the limbs of the trees, classifying each limb of the frameworks of the limbs of the trees, and carrying out canopy three-dimensional reconstruction. The fast three-dimensional reconstruction of the shape structure of the trees in the leaved state is achieved, and therefore a method and a high-precision basic model support are provided for the structural analysis of the canopies of the trees, the evaluation of the physiological and ecological characteristics and the like.

The invention discloses a method for estimating plant growth biomass liveweight variation based on virtual plants, aiming to the defect that a linkage relationship between a vegetation structure model and a mechanism model is ignored in the current method for estimating forest biomass liveweight variation. The method for estimating the plant growth biomass liveweight variation comprises the following steps of: firstly obtaining morphology parameters and textures of simulated plants, and establishing a plant geometric model based on a plant growth rule and a parameterization L-system; simulating photosynthetically active radiation in a virtual canopy by utilizing a ray tracing method based on the plant geometric model and applying to plant biomass liveweight accumulation, and establishing a plant structure-function feedback model; feeding parameter values obtained by calculation of the functional model back to the plant structure model, carrying out plant growth and development simulation at a certain growth cycle or a plurality of growth cycles; and simulating the photosynthetically active radiation in the virtual canopy on the grown and developed plant geometric structure model again, so repeatedly, dynamically developing the radiation simulation, and finally estimating the plant growth biomass liveweight in the simulated cycle(s).

A canopy covering for a watercraft to protect the watercraft from natural elements while allowing a substantial amount of light to be transmitted through the covering so as to not significantly adversely impact the marine habitat below the canopy by light reduction.

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 invention belongs to the field of airplane fatigue research and relates to the method for assessing and prolonging life of a transparent part of a canopy. The method is characterized by comprising the following steps of 1, determining a typical task profile and flight data parameters of the canopy; 2, computing a temperature and a load of the canopy; 3, charting a temperature / load spectrum of the canopy; 4, performing a ground heating and loading fatigue test on the canopy; 5, computing exposure time of an external field of the canopy and performing an aging test on the external field of the canopy; 6, performing the ground heating and loading fatigue test continuously after aging; 7, making canopy damage tolerance and inspection detailed rules for the external field; 8, performing sound fatigue life analysis on a refueling airplane; 9, giving out service life of the canopy. The method has the advantages that a life assessment and prolongation system of the canopy is established completely, the whole process and method of the life assessment and prolongation of the canopy is included, using safety of the canopy is ensured, and the method is significant and remarkable in economic benefit.

The invention relates to a production method of high dwarfing rootstock apple seedlings. The high dwarfing rootstock apple seedlings comprise high dwarfing interstock apple seedlings and high dwarfing self-rooted rootstock apple seedlings. The height of dwarfing rootstocks of the dwarfing interstock apple seedlings or the dwarfing self-rooted rootstock apple seedlings is increased to 50-60 cm from current height of 20-30 cm, tree planting after ridging is not required, watering is easily performed, and the drought resistant ability is high. By comparison with a method for planting the apple seedlings on ridges after ridging, the survival rate of the seedlings is high. After field planting, 30 cm high ridges are formed in combination of fertilization in the first three years, 20-30 cm high dwarfing rootstocks on the ground are still reserved and take roots, own-root apple trees are grown and grow stably, fruits are high-quality, and the defects of canopy closure of a fruit garden and reduction of fruit quality due to the fact that apple trees vigorously grow after ridging of the conventional dwarfing apple seedlings are overcome.

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.

An embodiment of the invention provides a canopy density measurement method and device which can solve the problems of high cost and low precision in the prior art. The method comprises the following steps: obtaining projected images of tree crowns; converting the images into grayscale images; summarizing pixels of each gray level in the grayscale images; and determining canopy density according to the pixels of each gray level. According to the canopy density measurement method and device in the invention, an existing camera device with a calculating function, such as an intelligent mobile phone, IPAD, a camera + a computer and the like can be utilized; and when the method in the invention is applied to the device above, the function of the canopy density measurement method and device can be realized. Therefore, under the condition of not increasing extra hardware, forest canopy density can be obtained through control software from the image analysis angle; the canopy density measurement method and device are easy to operate and seeing-is-obtaining effect is achieved; and the canopy density measurement method and device are high in precision, fast in speed, and is extremely suitable for current wild forest survey work.

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.

There is described a canopy system comprising two or more parallel elongated rods, one or more canopy pieces having two parallel edges, two or more elongated bars connected to each of the two or more parallel elongated rods and attached to each of the two parallel edges of the one or more canopy pieces, and at least one connection mechanism attached to each of the elongated rods having a connector that is capable of being suspended from a support. The elongated rods may include at least one lower cavity having two channels each configured to detachably and slidably receive each of the elongated bars. The lower cavity may have a groove that is configured to detachably and slidably receive an accessory. The elongated rods each may include at least one upper cavity configured to detachably and slidably receive each connection mechanism and a second accessory.

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 inverting LAI (leaf area index) from HJ-1 satellite data, which comprises the following four steps: 1, carrying out filtering on a time series MODIS (moderate resolution imaging spectroradiometer) LAI product subjected to projection transformation by using a filtering algorithm so as to generate space-time continued 1km LAI data, then, building a dynamic vegetation growth equation according to the LAI data subjected to filtering; 2, simulating a reflectivity generation lookup table of a canopy by using a canopy reflection model, and through combining the spectral features of the existing HJ-1 reflectivity data, carrying out adjustment on the lookup table, training the lookup table subjected to adjustment so as to obtain a conditional probability distribution from LAI to reflectivity; 3, based on a filter reasoning method of a dynamic Bayesian network, through combining the dynamic vegetation growth equation, the conditional probability distributionand the current-moment HJ-1 reflectivity data, calculating a current-moment HJ-1 posterior probability distribution so as to obtain a posterior probability / density distribution of LAI on the time series; and 4, according to the existing LAI posterior probability distribution, obtaining a time series LAI inversion result. The method disclosed by the invention is novel in conception, and has a broad application prospect in the technical field of satellite remote sensing.

The invention provides a sugarcane plant number automatic identification method based on a crop canopy aerial photography top view, and the method comprises the steps: taking a field sugarcane canopyimage which is taken by an unmanned aerial vehicle under a natural light condition in a top view as a research object, and carrying out the removal of a field complex background and the preliminary extraction of sugarcane leaf white meridians through employing a digital image processing technology; Extracting end points of the white meridians after connecting the broken white meridians with the same root to obtain an end point distribution map of the white meridians; and finally, identifying sugarcane plant centers from the end point map of the white meridians by utilizing a DBSCAN clusteringalgorithm according to the distribution characteristic of dense end points in a plant center region. Calculating the average value of various plant center areas to be approximately used as plant center coordinates, and counting the number of the coordinates to obtain the plant number, thereby realizing automatic identification of the field sugarcane plant number. When the method is used for counting field sugarcanes, the flexibility is high, the precision is good, the implementation cost is low, statistical mistakes and omissions caused by artificial subjective factors can be effectively reduced, and the automatic detection degree of the sugarcane early-stage plant number is improved.

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.

According to an aspect, a system for monitoring crops and soil conditions below a crop canopy includes a retractable boom assembly adapted to be coupled to an unmanned aerial vehicle. Further according to this aspect, the boom assembly includes an actuator and an elongate probe is coupled to the retractable boom assembly. Still further, the system includes a controller for maneuvering the elongate probe below the crop canopy while the boom assembly is extended by the actuator.

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.