42 results about "Plant canopy" patented technology

The present application relates to the technical field of agricultural equipment, and discloses an alfalfa planting and topdressing device and a topdressing method, which comprise: a lightweight mobile frame, a connecting head connected with a power end, a front wheel and an infrared laser radar arranged at the front end, and an adjustable rear wheel group arranged at the rear end; a multi-modal detection unit integrated with the front wheel, a detection surface of the multi-modal detection unit and a scanning direction of the infrared laser radar form a spatial orthogonal layout, and the multi-modal detection unit comprises: a rolling trigger type gamma ray sensor which periodically emits rays while rotating with the front wheel; through the cooperative work of the multi-modal detection unit, the present device realizes comprehensive perception of soil deep nutrients, ion concentration, surface moisture and plant canopy, combines the terrain scanning function of the infrared laser radar, and dynamically generates a fertilizer formula and adjusts fertilization parameters, so that the precision and adaptability of fertilization are significantly improved, and the limitations of traditional single detection means are avoided.

Systems and methods for illuminating a plurality of plants (11) are disclosed. The system (1) comprises an illumination system (3) configured to illuminate a plurality of plants (11) with radiation having one or more controllable radiation properties, and a data processing system (100) communicatively connected to the illumination system (3). A data processing system (100) comprises an input interface for receiving a signal indicative of a status of a plant canopy, an output interface for sending a control signal to an illumination system, and a processor. The processor is configured to: receive a signal indicative of a status of a plant canopy formed by a plurality of plants (11); determining whether the plant canopy is closed based on the received signal indicative of the status of the plant canopy; and sending a control signal to the illumination system (3), the control signal being based on the determined canopy closure. The illumination system (3) is configured to switch from illuminating the plurality of plants (11) according to a first radiation recipe to illuminating the plurality of plants (11) according to a second radiation recipe different from the first radiation recipe based on the received control signal.

Flexible diffuse-reflective smart camber (FDRSC) devices are disclosed herein. The devices include UV-C lights sources and an irradiance chamber. The irradiance chamber is open on at least one end through which the plants to be treated are exposed to the UV-C irradiance. Further, the inner surfaces of the irradiance chamber are covered by or consist of a diffuse reflective material that passively intensifies and uniformly distributes the UV-C irradiance to penetrate plant canopies. Also described herein are autonomous vehicles for moving the FDRSC devices across fields of crops and other plants, which is controlled in real time by a dosing control system. Also described herein are methods of in-situ UV-C treatment of plants using the FDRSC devices.

One variation of a method includes accessing an image of a plant canopy in an environment inhabited by: a population of microbe sensors of a microbe type including a microbe promoter-reporter pair configured to generate microbe-reporter signals representing presence of a stressor in the environment; and a set of sensor plants of a sensor plant type including a plant promoter-reporter pair configured to signal presence of microbe-reporter signals at the set of sensor plants. The method further includes: accessing a reporter model linking features extracted from images of sensor plants of the sensor plant type to pressures of the set of stressors based on plant-reporter signals generated by the plant promoter-reporter pair and microbe types of microbe sensors inhabiting the environment; and interpreting a pressure of the stressor in the environment based on the reporter model, the microbe type, and features extracted from the image.

The application provides a method for identifying potato drought-resistant genes using hyperspectral, and relates to the technical field of crop drought-resistant gene identification, and comprises the following steps: setting a drought group and a control group, synchronously acquiring plant canopy hyperspectral images and transcriptome data and establishing a correlation data set; extracting spectral features, screening drought response candidate genes; calculating the correlation coefficient of each candidate gene and the spectral features based on Spearman correlation analysis, and determining the primary gene set according to whether the average value of a plurality of positions after the absolute value is sorted exceeds a threshold value; constructing a random forest regression model with the spectral features as input and the expression amount of the primary gene as output, predicting the expression amount through a verification sample, and screening target drought-resistant genes according to the coefficient of determination and the prediction error; constructing a target gene overexpression plant, measuring the relative change rate of physiological indexes and the change multiple of gene expression amount under drought, calculating a comprehensive function verification index, and determining the gene as a drought-resistant gene if the index exceeds a threshold value.

1. The name of the design product: measurement box. 2. The use of the design product: used for multi-modal plant canopy photosynthetic phenotype measurement experiment. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. Other circumstances that need to be explained: the top cover plate and the A part of each side plate of the box are transparent materials.

A strawberry treatment platform includes an outer housing with at least one UV-C light array enclosed in the outer housing, and at least one strawberry plant manipulating assembly that extends downwardly from the outer housing. The strawberry treatment platform is structured so that, as the strawberry treatment platform moves across a strawberry plant bed, the plant manipulating assembly combs through the strawberry plants and creates a canopy gap in the strawberry bed plant canopy so that radiation from the UV-C light array treats the strawberry plants in the strawberry plant bed.

The invention provides a planting cavity system integrated with an airflow regulation and control function and a planting method thereof.The side portion of a planting cavity body is provided with an air inlet used for being connected with an air inlet system; a top panel of the planting cavity main body is provided with a first air hole communicated with the air inlet, and the first air hole is used for guiding air to the position above the panel so as to blow air to plant canopies; a second air hole communicated with the air inlet is formed in the inner wall of the supporting cup on the top of the planting cavity body and used for guiding and pressing air into the plant growth substrate in the supporting cup. The matrix is compressed through the second air holes, oxygen can be actively supplied to plant roots, waste gas generated by breathing of the roots can be exhausted, air is blown to plant canopies through the first air holes, gas exchange inside and outside the canopies and the transpiration effect of plants can be promoted, zero emission of waste liquid and disease blocking are achieved through evaporation, and the yield of plants is increased. The plant health degree and the system biological safety are comprehensively improved.

This invention relates to the field of crop cultivation technology and discloses a high-temperature-resistant cultivation technique for mung beans. The technique includes immersing mung bean seeds in a calcium chloride aqueous solution in the dark, then removing them and allowing them to air dry naturally until the seed coat is free of visible water before sowing them in the field. During the seedling to initial flowering stage, the relative soil moisture content is controlled. During the initial flowering to pod-setting stage, when a weather warning indicates continuous high temperatures, a metastable silicic acid and proline composite sol is sprayed onto the plant canopy leaves. The composite sol is prepared by protonating potassium silicate in an acidic substrate containing ascorbic acid, thus halting the polymerization process. Pre-sowing seed soaking promotes calcium ion absorption and initiates stress-resistance signal transduction, improving the seedling's basic heat resistance. Spraying the sol utilizes the dehydration and condensation of silicic acid to form an inorganic network covering layer, limiting water loss. Combined with proline penetration into mesophyll cells for osmotic regulation, this maintains leaf moisture content and ensures a certain number of pods.

The invention provides a method for identifying a potato drought-resistant gene by using hyperspectrum, and relates to the technical field of crop drought-resistant gene identification, and the method comprises the following steps: setting a drought group and a control group, synchronously obtaining a plant canopy hyperspectral image and transcriptome data, and establishing an associated data set; extracting spectral features, and screening drought response candidate genes; calculating a correlation coefficient of each candidate gene and the spectral characteristics based on Spearman correlation analysis, and determining a primary gene set according to whether the mean value of a plurality of bits after absolute value sorting exceeds a threshold value or not; constructing a random forest regression model by taking the spectral characteristics as input and the primary gene expression quantity as output, predicting the expression quantity by verifying a sample, and screening a target drought-resistant gene according to a decision coefficient and a prediction error; and constructing a target gene overexpression plant, measuring the relative change rate of the physiological indexes and the change multiple of the gene expression quantity under drought, calculating a comprehensive function verification index, and if the comprehensive function verification index exceeds a threshold value, determining that the plant is a gene with a drought resistance function.

The invention provides a dynamic plant spacing adjustment method and system for cotton close-planting high-yield cultivation. The method comprises the steps that plant morphology, field microenvironment and target cotton plant close-planting photosynthetic rate initial data of cotton in different growth stages are collected; based on the data, calculating the optimal plant spacing range at the current stage by using a pre-constructed plant spacing adaptation model which takes the cotton close planting yield maximization as an objective function and takes the plant canopy overlapping rate, the inter-row illumination transmittance and the soil humidity as constraint conditions; obtaining the actual plant spacing of the cotton field, comparing the actual plant spacing with the optimal range, judging whether to adjust, generating an adjusting instruction if the plant spacing exceeds the range, controlling the automatic transplanting device to operate, and collecting data again after adjustment to verify whether the plant spacing accords with the optimal range. According to the method, the plant spacing adaptation model is constructed, and the problem of multi-constraint synchronous coordination is solved by combining dynamic weight coefficient and growth stage characteristic matching; data are regularly collected to update model parameters, the cotton close planting yield is improved, and cultivation management intelligence is achieved.

The present application belongs to the technical field of image recognition, and particularly relates to a plant water deficit state recognition method and system based on computer vision, which comprises the following steps: collecting high-definition RGB video stream of plant canopy and extracting key frames; generating a binary mask based on a saturation channel, and extracting a structure image after enhancing a lightness channel; constructing a texture index representing leaf surface micro-roughness through multi-scale morphological gradient operation and frequency domain response reverse weighting logic; constructing a deformation index representing edge macro-deformation degree by using the derivative of contour curvature with respect to arc length; introducing a cusp catastrophe model to map the texture index and the deformation index into a splitting factor and a normal factor, and calculating a water deficit catastrophe potential value; and recognizing the water deficit state according to the positive and negative potential values. The present application can effectively distinguish environmental interference and capture the critical characteristics of the transition of plants from a physiological steady state to a wilting unstable state, thereby improving the accuracy of plant water deficit state recognition.

The invention belongs to the technical field of image recognition, and particularly relates to a plant water shortage state recognition method and system based on computer vision, and the method comprises the steps: collecting a high-definition RGB video stream of a plant canopy, and extracting a key frame; generating a binary mask based on the saturation channel, and extracting a structure image after enhancing the brightness channel; constructing a texture index for representing the microcosmic roughness of the blade surface through multi-scale morphological gradient operation and frequency domain response reverse weighting logic; using the derivative of the contour curvature relative to the arc length to construct a deformation index representing the edge microscopic deformation degree; a sharp point mutation model is introduced to map the texture index and the deformation index into a splitting factor and a regular factor, and a water shortage mutation potential energy value is calculated; and identifying the water shortage state according to the potential energy value. According to the method, environmental interference can be effectively distinguished, critical characteristics of transition from a physiological steady state to a withering and destabilizing state of the plant can be captured, and the accuracy of plant water shortage state identification is improved.

The application relates to a cultivation system and a cultivation method of a corn plant resistant to bacterial wilt, and belongs to the technical field of plant cultivation.The cultivation system comprises a box, an illumination mechanism and an observation mechanism, multiple independent spaces are arranged in the box, a culture module for cultivating a plant is arranged in each independent space, the illumination mechanism comprises an LED unit matrix plate and a contour scanning assembly, the LED unit matrix plate is arranged at the upper end face of the internal space of the culture module, the contour scanning assembly is used for acquiring a top view contour map of a plant canopy, the observation mechanism comprises a transparent culture plate for bearing the plant and a camera assembly, the transparent culture plate is a hollow structure, the root of the plant is located in the transparent culture plate, and the camera assembly is used for photographing and recording the root of the plant in the transparent culture plate.The application can guarantee that each plant in the culture box can receive the required light amount in the growth process, so that the healthy growth effect of the plant is guaranteed.

This invention discloses a single-camera, multi-view canopy wind field detection method and system based on optical deflection. By adjusting the reflector, the observation optical paths of the direct-view channel and the reflected channel converge at the center of the flow field to be measured, forming an angle, thereby enabling the simultaneous acquisition of a speckle image sequence using a single camera. Temporal speckle sub-maps are obtained through calibration and image segmentation; displacement is calculated using digital image correlation and converted into a light deflection field; semantic segmentation and spatiotemporal joint completion processing are performed to address plant foliage occlusion, resulting in a complete deflection observation field; a tomographic model is established based on three-view geometry and ray tracing to reconstruct the refractive index gradient field, thereby inverting the static pressure field; finally, a physical information neural network is constructed, integrating static pressure observations and fluid dynamics equation constraints to achieve four-dimensional spatiotemporal continuous inversion of wind speed, direction, and pressure inside and outside the plant canopy. This invention has a compact structure and simple deployment, making it suitable for three-dimensional wind field detection and near-real-time analysis during agricultural pesticide application.

This invention discloses a method for measuring the light response characteristics of plant canopy photosynthetic rate. The method includes placing the plant population under test in an isolation container to maintain a stable CO2 concentration; adjusting the light intensity to a set value to induce light induction in the plant population; then performing closed-loop monitoring of the plant population's photosynthesis; plotting trend graphs of CO2 concentration changes over time under various light intensities and fitting trend lines; selecting several data points on the trend lines for differentiation; calculating the canopy photosynthetic rate; and plotting the light response curve of the canopy photosynthetic rate based on the canopy photosynthetic rate and the corresponding light intensity. This method for measuring the light response characteristics of plant canopy photosynthetic rate can accurately determine the relationship between plant canopy photosynthetic rate and light intensity. In plant variety breeding, measuring the light response curve of plant canopy photosynthetic rate can yield the canopy photosynthetic characteristics and light energy utilization efficiency of plants under different light intensities, which is beneficial for selecting high-light-efficiency crop germplasm resources or varieties.

The invention provides a dynamic spectrum light supplementing device and method based on plant physiological signal feedback. The method comprises the following steps that at least one physiological optical signal of a light receiving plant is collected through a non-contact sensing unit; inputting the physiological optical signal into a preset plant physiological status diagnosis model, and outputting a current physiological status judgment result of the light-receiving plant; on the basis of the current physiological state judgment result, according to a predefined spectrum regulation and control strategy, generating a spectrum regulation and control instruction containing a light quality ratio parameter; and according to the spectrum regulation and control instruction, driving a multi-spectrum LED unit capable of independently dimming, and carrying out coordinated regulation and control on the plant canopy microclimate so as to carry out dynamic light supplement on the light receiving plant. According to the invention, the physiological status of the plant can be directly monitored, and dynamic and accurate spectrum regulation and control can be carried out accordingly.

The utility model provides a multi-modal plant canopy photosynthetic phenotype measurement box and a measurement system, and the multi-modal plant canopy photosynthetic phenotype measurement box comprises a box cover part, a box body part and a measurement assembly. The box cover part is composed of a mounting frame and a cover plate, and the cover plate is connected to an opening area of the mounting frame in an openable and closable manner, so that plant samples can be quickly placed and taken out. The box body part is defined by a plurality of side plate assemblies to form a box body space, is in sealed connection with the box cover part and is used for containing a plant to be detected. The measuring assembly is installed on the box cover part and / or the box body part, traditional environment parameters such as temperature, humidity and illumination can be collected, phenotype information such as the plant height, the leaf area, the chlorophyll content and the canopy form of plants can be dynamically obtained, the multi-source data collection capacity is fused, comprehensive analysis of the plant growth state and the environment response mechanism can be achieved, and the comprehensive analysis result is obtained. The accuracy of phenotype measurement and the scientificity of research are remarkably improved, and a more reliable quantitative support is provided for crop breeding screening and environmental adaptability evaluation.

The invention relates to the technical field of honeysuckle planting, in particular to three-dimensional planting equipment for honeysuckle. According to the technical scheme, the device comprises a device frame, a driving assembly, a watering assembly, a containing assembly, a connecting assembly and an adjusting assembly, and the driving assembly simultaneously drives the watering assembly to reciprocate to change the watering position and drives a driving shaft to rotate in a reciprocating mode; the driving shaft drives the driven shaft to rotate reversely through the reversing assembly. The driving shaft and the driven shaft are in linkage with the containing assembly and the planting containers on the containing assembly through the connecting assembly to conduct reciprocating deflection in the first direction. The connecting assembly drives the adjusting assembly at the same time, so that the planting container deflects back and forth in the second direction intersecting with the first direction. Linkage of automatic change of watering positions and multi-dimensional posture adjustment of planting containers is achieved through a single power source, uniform distribution of irrigation water in soil is effectively promoted, all faces of plant canopies can alternately receive illumination, and the water and fertilizer utilization efficiency and photosynthesis uniformity are improved.

The invention relates to the technical field of agricultural equipment, and discloses an alfalfa planting topdressing device, comprising: a lightweight mobile frame, the front end of which is provided with a connector connected with a power end, a front wheel and an infrared laser radar, and the rear end of which is provided with an adjustable rear wheel set; the multi-modal soil detection unit is integrated on the front wheel, the detection surface of the multi-modal soil detection unit and the scanning direction of the infrared laser radar form a spatial orthogonal layout, and the multi-modal soil detection unit comprises a rolling trigger type gamma ray sensor which periodically emits rays along with rotation of the front wheel. The system realizes comprehensive perception of soil deep nutrients, ion concentration, surface water content and plant canopies, combines a terrain scanning function of an infrared laser radar, can dynamically generate a fertilizer formula and adjust fertilization parameters, significantly improves fertilization accuracy and adaptability, and avoids limitation of a traditional single detection means.

The invention discloses a cooperative sunlight-induced chlorophyll fluorescence measurement method, and relates to the technical field of crop growth monitoring, the method is realized based on a cooperative sunlight-induced chlorophyll fluorescence measurement system, and the cooperative sunlight-induced chlorophyll fluorescence measurement system adopts a combination mode of combining a single spectrometer with a single optical fiber. The optical fiber is driven by the rotating mechanism to rotate to two different detection positions to cooperatively measure the solar incident radiation illuminance irrad and the canopy reflection radiation illuminance rad, so that the fixed deviation between instruments can be effectively eliminated, and meanwhile, the integrity of an optical path is ensured to a certain extent; the cosine corrector and the optical fiber adopt a split structure, the optical fiber faces upwards and is matched with the cosine corrector to measure the solar incident radiation illuminance irrad so as to obtain a larger view field range, and the optical fiber faces downwards to directly measure the canopy reflection radiation illuminance rad so as to focus a target plant canopy in a concentrated manner, so that the influence of too many ground interferents due to the too large view field range is avoided; and the measurement accuracy can be improved.

A method and system for determining a variable rate treatment for a farming machine to autonomously apply to identified plants in a field is disclosed. The system applies a canopy recognition model to images captured for each region in the field. The model identifies each plant in the region and the plant's canopy, and then determines canopy characteristics based on the pixels of the image representing the plants in the plant canopy. Control signals for a variable rate treatment are determined based on these canopy characteristics. The treatment mechanism of the farming machine is then actuated using these control signals to apply the determined variable rate treatment to the plant.

The application discloses a kind of water content prediction method and system based on airborne multispectral sensitive waveband combination, it is related to agricultural remote sensing and image processing technical field, including steps: based on the response characteristics of soil and plant canopy reflectance spectrum to water, combined with the physical mechanism of O-H bond vibration in water molecule, and considering the influence of atmospheric water vapor on near infrared spectrum to determine the bandwidth of all center wavelengths;The reflectance spectrum of soil and vegetation canopy is generated, the relationship between center wavelength and bandwidth is used to generate spectral response function, the simulated spectrum is converted to water sensitive waveband, and reflectivity and spectral index are calculated;The reflectance spectrum image of soil and vegetation canopy at selected position is collected, and the reflectance spectrum image is input into the water content prediction model to predict water content.The present application can effectively solve the problem of insufficient waveband selection and low monitoring accuracy when the existing airborne multispectral sensor performs water monitoring task by optimizing waveband selection and bandwidth allocation.

The invention provides a polygonatum kingianum black spot control method and device, and relates to the technical field of traditional Chinese medicinal material disease control, and the method comprises the steps: maintaining the relative humidity of a plant canopy growth environment to be below 85% through an environment regulation system, and controlling the continuous wetting time of leaf surfaces to be not more than 4 hours; in the daytime illumination period, blue light with the peak wavelength of 450-470 nm is supplemented to inhibit spore production of pathogenic bacteria; in the dark period at night, pulse type UV-C illumination treatment is adopted to inactivate leaf surface pathogenic bacteria and induce plant resistance; through the synergistic effect of physical means, efficient prevention and treatment of leaf diseases are achieved, chemical pollution to medicinal rhizomes is avoided, and the quality of traditional Chinese medicinal materials is guaranteed.

The utility model provides a crop irrigation device with a canopy analyzing and monitoring function, relates to the technical field of crop cultivation experiment auxiliary devices, and aims at solving the problems that a traditional crop planting canopy monitoring and irrigation method mainly depends on manual observation and experience judgment, and is low in accuracy and efficiency and wastes resources. Comprising a bearing support, a bearing support frame, a bearing bottom column, a bearing base and an irrigation support frame, an assembly supporting groove is formed in the outer side of the bearing support; the bearing supporting frame is fixedly arranged on the outer side of the bearing support in a sleeving mode through the assembly supporting grooves. The bearing bottom column is arranged on the inner side of the lifting support. A mounting branch groove is formed in the bottom of the bearing base; the irrigation support frame is arranged on the inner side of the adjusting support frame; the rotating fulcrum shaft can drive the whole bearing base to rotate, so that the bearing base supports the spraying connecting pipe to spray leaves and stems of crops, the irrigation spraying pipe irrigates roots of the crops, and the adjusting support frame supports the monitoring device to monitor canopies above the crops.

The invention discloses a crocus sativus and ecological summer cabbage interplanting cultivation method, and relates to the technical field of crop interplanting cultivation. According to the method, the ecological summer cabbage is planted by fully utilizing the summer dormancy period (June to August) of saffron crocus, a single-season cultivation mode is upgraded to an annual interplanting mode, and the land resource utilization rate and the unit area economic benefit are remarkably improved; through the interplanting design, the ecological summer cabbage plant canopy can effectively shield strong light exposure in summer and reduce soil moisture evaporation and nutrient loss, meanwhile, root activity and residual body returning can increase the soil organic matter content, improve the soil aggregate structure and avoid soil hardening, and a high-quality soil environment is provided for follow-up growth of saffron crocus; through combination of a customized cultivation soil formula and a soil conservation effect of an interplanting mode, water, fertilizer and a pH environment required by growth of saffron crocus can be stably maintained, plant diseases and insect pests are reduced, and saffron crocus seedball quality and effective component content are improved.

The application discloses a kind of leaf area index precision correction data processing methods, first, according to plant canopy image calculation LAI data, obtain each node daily high time resolution LAI value, then, determine the accurate time of each day sunrise and sunset, obtain LAI value within t1 minutes before sunrise, within t2 minutes after sunset each day, and respectively calculate early, late representative value, with early morning arithmetic average as the LAI representative system of day, then calculate the confidence of each day LAI value, according to the accuracy requirement of application, select and set the LAI representative value of day above confidence, obtain the LAI time series value with higher confidence.The application eliminates a large number of invalid LAI data, only retains an effective LAI value as the representative value of day, through the confidence test of each day LAI value, obtains the LAI time series value with higher reliability.The application judges sunrise and sunset time, and determines the effective value of day more scientifically and effectively, and is convenient for user to understand and manage LAI data in real time.

The present application relates to the technical field of image recognition, and further relates to a phenotypic trait image recognition and extraction method for efficient corn breeding. The method comprises the following steps: step 1: at multiple different growth stages from the corn jointing stage to the mature stage, an unmanned aerial vehicle (UAV) carrying a multispectral sensor is used to obtain images of the same plant canopy in a test field, and normalized gray images are obtained; step 2: based on the normalized gray images, gradient operation is performed on target bands to obtain significant edge intensity, and a trait-sensitive probability field corresponding to the phase is generated; step 3: an optimal observation period is preset for each target trait, a pixel set with a probability value not lower than 0.5 and having been determined as the trait type is selected from the image corresponding to the optimal observation period, and the measurement of total projected area, average connected domain area and average leaf angle is sequentially performed to obtain a comprehensive breeding serial number value of the trait. The present application realizes high-precision probability recognition of the effective phenotypic area of grains and leaves.

This invention relates to the field of plant canopy transpiration estimation, specifically a method for estimating canopy transpiration in shallow-rooted plants. The invention collects readily available surface environmental factors such as total radiation, vapor pressure deficit, soil moisture content at 20cm depth, canopy leaf area index, and wind speed. It then uses the envelope method to extract the corresponding standardized canopy transpiration rate values ​​and fits control functions one by one. Finally, it constructs a canopy transpiration estimation model by multiplying the output values ​​of each control function, the leaf area index, and the canopy transpiration rate per unit leaf area. This effectively avoids the shortcomings of traditional Penman-Monteith-type models, which require a large number of difficult-to-obtain parameters such as crop coefficients and canopy impedance, significantly lowering the barrier to model use. Furthermore, considering the root distribution characteristics of shallow-rooted plants, it uses soil moisture content at a depth of 20cm to improve the accuracy of canopy transpiration estimation.