194 results about "Plant canopy" patented technology

Methods for classifying plants by remote sensing and image analysis technology are presented. These methods are useful for evaluating plants and for selecting plants for a plant breeding program which has as its goal to selectively alter phenotype. The methods combine the newer techniques of remote sensing technology to obtain indirect correlates of the traits of interest, with classical pedigree breeding strategies. Thermal and infrared reflectance measures of plant canopies are examples of energy values measured by remote sensing, used to indirectly predict the selected traits.

The invention discloses a nondestructive testing method and a nondestructive testing device for nitrogen and water of crops, and relates to the technical field of crop nutrient diagnosis. The device is characterized by comprising a multisensor information acquisition device, a portable computer, a sensor detecting frame and an instrument container, wherein an infrared temperature measuring sensor, an irradiance sensor and a temperature and humidity sensor are connected with a data acquisition card through a signal cable; the data acquisition card, two digital industrial view cameras and an input end of a power supply module are connected with the portable computer through a USB bus; the power supply module boosts the voltage of a USB to DC24V for supplying power to the sensors; the sensordetecting frame can adjust the height according to the crops; multisensor information is uploaded to the portable computer; and the visible light and the near infrared image features of a plant canopy are extracted, canopy temperature and illumination information are merged, an environment error is eliminated, and the nitrogen and the water of the field crops can be rapidly and nondestructively detected on line.

The invention discloses a self-adaptive light supplementing system and method for a plant factory. The distance between a light supplementing lamp 1 and plants 12 planted on a culture bed 10 is measured through distance measuring sensors 11, and a stepping motor 4 is driven to operate so as to drive a winding shaft 3 to rotate, so that the light supplementing lamp 1 is driven by steel wires 6 winding round winders 2 to rise or fall; and meanwhile, the light supplementing system can measure and calculate the illumination intensity of a plant canopy through an illumination intensity sensor 13, and then the illumination intensity of the light supplementing lamp 1 is adjusted to be adapted to light intensity requirements of different crops. The method is simple and practical, and the illumination intensity of the light supplementing lamp 1 and the distance between the light supplementing lamp 1 and the plants 12 can be adjusted, so that only set values of system software are required to be changed, and then culture requirements of the different plants for the space and the illumination intensity can be met. The system and the method are applicable to light supplementing for culture of the various plants in the plant factory.

A grow light for stimulating plant growth is presented herein. The grow light includes a plurality of primary light modules with LEDs fixedly mounted to a support assembly and spaced a distance away from a plant canopy, and one or more secondary light modules movably or pivotally mounted to an end of one or more of the primary light modules. A positioning assembly is disposed interconnected light modules for manually or automatically movably disposing the secondary light modules into different angular positions relative to the plant. A height adjustment assembly is also include to movably position the light assembly, such as the plurality of primary light modules or the secondary light modules in a vertical direction. Additional features can be included, such as positioning sensors, environmental sensors, CO2 delivery systems, water cooling systems, ground wire interconnections, and light frequency control.

The invention provides a method and a device for measuring photosynthesis, breath and transpiration of a plant canopy or/and breath and evaporation of soil. The device is formed by assembling a box base, three boxes (a light box, a dark box and a bare box), a multichannel magnetic valve, an infrared gas analyzer, a data collector, a temperature sensor, a baroceptor and an air pump. The invention can be used for measuring population photosynthesis-breath-evaporation and breath-evaporation of various plants, such as farmland, lawns, bushes, and the like and observing photosynthesis, breath and transpiration of plants and breath and transpiration of soil at the same place and the same time, and can realize the continuous observation and scientific split of various components.

The invention provides a leaf area index inversion method and system of merged phenological data and remote sensing data. The method comprises the steps of setting multiple sampling points used for observation in a target area, using a plant canopy analyzer for measuring leaf area indexes of plants in all the sampling points in the target area under the scattered light meteorological condition, and recording the vegetation phenological phase of the target area in the measurement process; averaging each sampling point, and obtaining the true leaf area index of the corresponding sampling point; obtaining multispectral remote sensing images observed during the same time period in the same target area, conducting pre-processing, obtaining true reflectivity images, and calculating the vegetation index of each sampling point; utilizing the vegetation indexes and the true leaf area indexes for conducting relevant analysis, and obtaining a quantitative relation model corresponding to the vegetation phenological phase of the target area in the measurement process; according to the model, conducting inversion analysis on the plant growth state of the target area during the corresponding vegetation phenological phase. By means of the leaf area index inversion method and system of the merged phenological data and the remote sensing data, dynamic monitoring of the large-area long-period vegetation leaf area indexes can be satisfied, the problem of field measurement is solved, and agricultural and forestry application requirements are met.

The invention provides a method for calculating the extinction coefficients of a three-dimensional forest canopy under any given incident ray by using a geometric algorithm, belonging to the research field of a method of acquiring the structural parameters of the forest canopy. The method for calculating the extinction coefficients of the three-dimensional forest canopy by using the geometric algorithm comprises the following steps: acquiring and preprocessing the three-dimensional laser-point cloud data of a plant canopy; carrying out three-dimensional gridding on the point cloud data; carrying out point cloud slice arithmetic based on a voxel data structure; carrying out linear sampling analysis on the point cloud slices; calculating an average projection coefficient of a kth layer of slices; and calculating the extinction coefficient of any given incident ray in each layer of slices and the extinction coefficient of whole canopy. Compared with the traditional observing way, the invention has the characteristics of being small in working amount, and free from the contact observation and the damage of the canopy structure and radiation, and has objectiveness, high efficiency and precision; a method of extracting the three-dimensional structures and biological and physical diversity information from the laser radar data is developed to characterize the horizontal and vertical distribution change rules of the leaves.

The invention provides an intelligent precision lighting energy saving method during plant cultivation by using artificial light. The method comprises the following steps: A, adjusting the intensity of an artificial light source; B, adjusting the distance from the artificial light source to plant canopies; C, performing focusing on focusing lenses which are arranged on the artificial light source to control the size of spots of the artificial light source projected to the plant canopies through the focusing lenses, wherein the artificial light source with as low intensity as possible is arranged at a proper distance above the plant canopies through collaborative operation of C and A as well as/or B, so that the light emitted through the focusing lenses is projected to the plant canopies with the light intensity capable of meeting the requirement on plant growth, and as few formed spots as possible are projected to gaps among plants on the premise that the spots have the size to fully cover the plant canopies. The invention also provides a device for the precision lighting energy saving method. The device mainly comprises a light source rack, a lifting mechanism, light source-lens units and a power supply. According to the method, precise lighting range and intensity are provided for the plants, and the waste of light energy during cultivation is greatly avoided.

The invention belongs to the technical field of crop growing management and discloses a regulation and control method for rice nitrogen topdressing based on a nitrogen spectral index method. According to the invention, the nitrogen spectral index method is constructed according to nitrogen amount required by target rice yield, apparent utilization rate of spike fertilizer, plant real-time nitrogen accumulation amount estimated based on reflectance spectrum and soil nitrogen supplying amount while nitrogen fertilization based on a nutrient balancing principle. According to the invention, in the aspect of real-time information acquisition, plant canopy group information is utilized, thus the regulation and control method disclosed by the invention has the quicker and lossless characteristics and the like, thereby avoiding the phenomenon of point replacing surface; in the aspect of a nitrogen topdressing regulating and controlling model, the soil nitrogen supplying amount and nitrogen fertilizer utilization rate during the middle-late period are quantified, thereby enhancing the mechanism characteristic and accuracy of nitrogen topdressing amount estimation and improving the quantification level.

The invention discloses a self-adaptive gridding method and a self-adaptive gridding system of geometric curved surfaces of three-dimensional plant organs. The method comprises the following steps: classifying plant organs according to appearance characteristics of the plant organs, and establishing a skeleton model of each plant organ; setting parameters that are necessary to be used in the meshing process of the geometric curved surfaces of the organs aiming at different plant organ types; and carrying out self-adaptive gridding on the geometric curved surfaces of the organs aiming at different plant organ types. The invention can selectively generate plant geometric mesh curved surfaces with different gridding scales and different resolution ratios so as to satisfy the applications of large-scale plant growth visual simulation, plant-canopy light distribution calculation, three-dimensional plant scene real-time drawing, and the like.

Present invention relates to a canopy leaf chamber for determining plant canopy colony photosynthetic activity. It contains quadratic photosynthetic chamber and columned soil fixing body, wherein soil fixing body of canopy leaf chamber bottom set with knob basal portion being corrugation notch, capable of easy inserting amboceptor in soil to form inclosed canopy leaf chamber, amboceptor upper port inosculation with photosynthetic chamber lower wall round opening to make canopy leaf chamber intracavity forming one integral, photosynthetic chamber upper wall sealed by two side glue and photosynthetic film to ensure photosynthetic chamber steady light permeability, photosynthetic chamber sidewall installed one small size fan controlled by external battery and switch, fan capable of rapid making canopy leaf chamber gaseous reaching equalization. Plastic hose respectively is installed on two opposite sidewall centre of Photosynthetic chamber connected with photosynthetic activity calcimetre sample room gas path. Said invention can combine with photosynthetic activity calcimetre for determining different kinds of plantal colony, breath and transpiration.

The invention discloses a land surface plant canopies ecological water content remote sensing retrieval method based on spectral analysis. The method comprises the following steps: (1) actually measuring plant canopies spectrum data and biochemical data, wherein the biochemical data comprises fresh weight, dry weight and leaf area; (2) preprocessing the actually measured spectrum data and performing spectrum feature extraction; performing moisture noise removing, spectrum differential computation and envelope line removing; (3) computing and extracting the required plant index according to theactually measured reflecting spectrum feature; (4) preforming correlation analysis on the plant field actually measured spectrum data and the biochemical data, and establishing the model of the computed plant index and the plant water content; and (5) analyzing the remote-sensing image spectrum feature, and realizing the plant canopies ecological water remote-sensing quantitative retrieval by combining the plant water content model established through the actually measured data. By utilizing the method disclosed by the invention, the dynamic monitoring on the plant canopies ecological water content can be realized, and the monitoring accuracy is high.

The invention discloses a dust agent with biological pesticides as effective components and a using method thereof. The biological pesticide dust agent adopts raw drugs, mother powders, powder agents, wettable powders, fine granules and other powder preparations of one or more biological pesticides as the effective components, a certain amount of a carrier and auxiliary agents are added, and the biological pesticide dust agent is prepared through air flow pulverizing; the fineness of the biological pesticide dust agent comprises that D90 is less than 53 [mu]m, D50 is less than 37 [mu]m, and D10 is more than 2 [mu]m. The dust agent is applied by a powder spraying method, and can be used for prevention and treatment of diseases and insect pests in facilities or outdoor horticultural plants. After application, the dust agent can perform all-dimensional motion in air and can be lastingly suspended in the air, so that the dust agent can be well diffused, penetrated and go deep to a relatively hidden part in a plant canopy, has high attachment uniformity, and is in favor of playing a better drug effect. In the production application, the using method has the characteristics of water saving, labor saving, effort saving and drug saving, is not affected by climate conditions, and overcomes the disadvantages that a conventional atomizing method adopts much water for drug application and easily induces high wet disease.

Disclosed in the invention is an image-fusion-based early diagnosis method and apparatus for a kiwifruit canker. The method comprises: correction and pretreatment are carried out an infrared thermal image to obtain an image I0; correction and pretreatment are carried out an RGB image to obtain an image V0; image matching and image fusion are carried out on the image I0 and the image V0 to obtain an image F; the image F is segmented by using an algorithm to obtain a fused image F1 of a plant canopy area; a plurality of groups of kiwifruit samples that include kiwifruit with cankers and healthy kiwifruit and are provided with known diagnosis results are selected, images F1 of the kiwifruit samples are collected and a canker determination model is established by using geometric parameters of the images F1 as variables; and then geometric parameters of to-be-tested kiwifruit are introduced into the determination model to carry out early diagnoses. In addition, the invention also discloses an image-fusion-based early diagnosis apparatus for kiwifruit canker. With the method, non-destructive detection can be carried out before development of leaf symptoms of the kiwifruit canker and the operation becomes convenient and rapid.

The invention discloses an advanced plant biochemical parameter non-contact monitoring device which is used for carrying out non-destructive automatic real-time detection on biochemical parameters of chlorophyll, water, nitrogen, and the like in plant canopy level in an unattended environment. A plant is detected by a visible/near-infrared spectral analysis technology, and the fine control can be realized; the unattended non-contact sampling is realized and the power consumption of the device is reduced by the integral design of a special light source and a sampling probe; a sampling device is separated from a host machine and the remote measurement is realized by an optic fiber technology. The invention realizes that the light source emits light with different illumination intensities when a reference signal and a blade signal are measured, always leads a detector to be capable of responding in high sensitivity, solves the problem of limited detection range of a photoelectric detector, improves the signal-to-noise radio of an instrument and ensures the measurement accuracy of the instrument by an adjustable constant current drive circuit.

The invention relates to a virtual plant canopy photosynthesis effective radiation distribution simulating method of a multi-layer data structure. The method includes the following steps of establishing a virtual plant model and a virtual plane scene high in fidelity and complexity, collecting plant canopy photosynthesis effective radiation intensity values through a related astronomical parameter method or a field measurement method, sequentially establishing the three-layer data structure with a virtual plane scene single-tree geometrical model, a scene and a terrain through a data structure starting method, establishing a direct solar radiation and sky scattering PAR ray vector plane, sequentially tracing all ray vectors on the ray plane through a Monte Carlo ray tracing algorithm and a turtle shell algorithm, traversing the three-layer data structure with the scene, the single tree and the terrain, judging whether rays intersect with triangular patches or not, counting the sky visible rates of all the triangular patches, and calculating direct solar radiation PAR and sky scattering PAR of all the triangular patches to obtain a virtual plane canopy PAR three-dimensional space distribution simulating result.

The invention discloses an automatic spray irrigation frost prevention system and method for plants, belongs to the field of agro-meteorological disaster monitoring and control, and solves the problem of excessive water utilization caused by an excessive operating mode and a simple control mode of irrigation frost prevention. The method comprises the steps as follows: water in a pond or a lake is upwards sprayed in the lower direction of plant canopy by a nozzle after pressurized by a water pump; and a wet bulb temperature higher than a critical plant freeze injury temperature by a certain threshold is set as a set value, after the set value is compared with wet bulb temperatures of areas at different planting temperatures, switching on and switching off of the water pump and electromagnetic valves in areas are controlled, so that the spray irrigation frost prevention in the areas is controlled respectively. With the adoption of the automatic spray irrigation frost prevention system and method for plants, automatic spray irrigation frost prevention of plants can be realized, the water utilization amount is reduced, and accordingly, the automatic spray irrigation frost prevention system and method are suitable for plant frost prevention of areas with the water source condition.

The invention provides a plant water stressed state automatic monitoring method and a plant water stressed state automatic monitoring system. The plant water stressed state automatic monitoring method includes the following steps that: the infrared image and visible light image of plants and soil moisture content information of the corresponding plants are obtained; image fusion information is obtained according to the infrared image and the visible light image; the water stressed state information of the plants is obtained according to the image fusion information and the soil moisture content information; and corresponding instruction information is emitted according to the water stressed state information of the plants, so that a water replenishment device can be made to enter a corresponding working state. According to the plant water stressed state automatic monitoring method and the plant water stressed state automatic monitoring system of the invention, the infrared image and the visible light image are obtained through an infrared camera and a visible light camera; the temperature information of a plant area is obtained; corresponding measures are taken according to the temperature information; and therefore, problems in on-line automatic fusion of an infrared image and a visible light image and automatic identification of a plant area on the infrared image can be solved, a plant canopy temperature region can be obtained, irrigation time of the plants can be accurately judged, and the plants can be prevented from being damaged.

The invention relates to a measuring method of leaf area index, belonging to the ecological study field. The invention solves the problems of the prior art that the leaf area index measured by LAI-2000 has low accuracy, and the harvest method for measuring the leaf area index has large labor intensity and low efficiency. The method of the invention comprises the following steps: 1. placing an LAI-2000 plant canopy analyzer 3.5 away from the edge of a leaf, measuring under the condition that the measuring time is 10:00-14:00, the light Intensity is 8000-10000Lux, the wide speed is 7-level and the air humidity is 10-90%; 2. obtaining an effective leaf area index; and 3. substituting the effective leaf area index in the following formula: leaf area index of broad-leaved forest=1.5457*effective leaf area index-0.0414 or leaf area index of coniferous forest=0.9651*effective leaf area index+0.4115, thus completing the measurement of leaf area index. The method can increase the measuring efficiency, reduce the labor intensity and increase the accuracy.

The invention provides an unmanned aerial vehicle image plant canopy information extraction method based on ensemble learning, and the method comprises the following steps: S1, obtaining an unmanned aerial vehicle visible light remote sensing image, and carrying out data preprocessing on the unmanned aerial vehicle visible light remote sensing image; S2, performing image segmentation by adopting an object-oriented method to complete object feature extraction; and S3, adopting a Stacking ensemble learning model to realize extraction of plant canopy information. According to the method, an object-oriented and Stacking integrated machine learning method is combined, so that the parameter consumption of model construction in an information extraction process is greatly reduced, and manpower, material resources and time are greatly saved; and moreover, the traditional mode that a single classifier is used for carrying out pattern recognition on the high-resolution remote sensing image is broken through, the method can give full play to the advantages of each algorithm model, is more excellent in generalization, stability and applicability, and greatly improves the extraction precision and speed of the plant canopy information based on the unmanned plane image.

The invention discloses a method for extracting a single plant canopy from a high-resolution unmanned aerial vehicle visible light remote sensing image. The method comprises the following steps: 1, preprocessing, cutting, cleaning and marking a data set on acquired unmanned aerial vehicle remote sensing data; 2, obtaining a canopy preliminary segmentation result by using a deep convolutional neural network U-Net, training a U-Net model by using the labeled data set, and segmenting the image by using the trained U-Net model to obtain a probability grey-scale map; and 3, optimizing the probability grey-scale map based on a mark control watershed algorithm to obtain a final single plant canopy segmentation result. According to the invention, the U-Net algorithm is used to avoid the complex background of the original image under the natural condition to a certain extent; the initial contour of the canopy is obtained through interference of uneven illumination intensity on canopy segmentation, a mark control watershed algorithm can well segment the canopy of a single plant and is used for optimizing the canopy result extracted by U-Net and extracting canopy information of the single plant, the canopy density precision is higher, and the canopy density speed is higher.

The invention relates to a node used for acquiring distributed type leaf area index hemispherical images. The node is characterized by comprising a core processing part, a wireless communication part, a hemispherical image acquiring part, a wind speed sensor, a sunlight irradiation sensor, a temperature and humidity sensor and a condensation sensor. The invention discloses a system for remotely acquiring the distributed type leaf area index hemispherical images. The system is used for acquiring plant canopy images by adopting a mode of combining an embedded type platform with a low-cost fish-eye lens, and is used for monitoring wind direction, sunlight, temperature and humidity data to determine effectiveness of the images. Canopy images and the monitored data are transmitted to an upper computer through the node via a 3G data channel, so that the upper computer performs analysis and processing.