75 results about "Plant canopy" patented technology

The invention relates to the technical field of image recognition, and further relates to a phenotypic character image recognition and extraction method for efficient corn breeding. The method comprises the following steps: step 1, acquiring an image of the same plant canopy in a test field by using an unmanned aerial vehicle carrying a multispectral sensor in a plurality of different growth periods from a corn jointing period to a mature period, so as to obtain a normalized grayscale image; 2, performing gradient operation on a target wave band based on the normalized grayscale image to obtain significant edge intensity, and generating a character sensitive probability field of a corresponding time phase; and 3, presetting an optimal observation period for each target character, selecting a pixel set which has a probability value not less than 0.5 and is judged to be the character type from an image of a time phase corresponding to the optimal observation period, and sequentially measuring the total projection area, the average connected domain area and the average leaf angle to obtain a comprehensive breeding sequence value of the character. According to the method, high-precision probability identification of the effective phenotype area of the grain-leaf is realized.

The invention relates to the field of power system supply and demand interaction, and discloses an intelligent greening irrigation system and a water-saving control method, the system comprises a multi-source data acquisition module, a space-time tensor modeling module, a dynamic decision generation module, an edge calculation acceleration module, a distributed execution control module and a drip irrigation module; the method comprises the following steps: collecting multispectral, meteorological and soil moisture data of a plant canopy in real time to generate an original data set; a fusion data set is obtained through space-time alignment and normalization preprocessing; the water demand is predicted based on an LSTM-Transform model, and an irrigation safety interval is screened; the irrigation uniformity and water pressure distribution are simulated and evaluated through multi-physics field coupling; a double-delay DDPG algorithm is used for optimizing valve opening parameters; the model and the execution error are corrected through Bayesian modeling, and an NDVI feedback optimization strategy is combined. According to the invention, a double-delay depth deterministic strategy gradient algorithm is introduced for dynamic optimization of an irrigation strategy, so that the capability of quickly adapting to environmental changes is achieved.

A remote inspection vehicle for inspecting a plant for early drought stress and a neural network model for calculating a score corresponding to a level of early drought stress in the plant. The inspection vehicle may be equipped with an inspection camera having a radiometric infrared sensor and a red, green, and blue light sensor to capture plant images. Image data from the inspection vehicle, as well as soil moisture and calculated CWSI scores, can be used to train the neural network model, deriving weights and biases therefrom using a plurality of neural network layers. Using a plant canopy temperature value, a red raster value, a green raster value, a blue raster value, and a soil moisture value, the trained neural network model can generate a score which can be used to assess the level of early drought stress in a plant.

The invention provides a plant nitrogen content monitoring method and device, electronic equipment, a medium and a program product, and relates to the technical field of plant nitrogen content monitoring. The method comprises the following steps: acquiring a vegetation index and a vegetation coverage of a target plant; based on the vegetation coverage and the vegetation index, constructing a canopy structure correction index of the target plant; inputting the canopy structure correction index into a mapping relation between the canopy structure correction index and the plant nitrogen content to obtain the plant nitrogen content of the target plant; according to the method, the canopy structure correction index of the target plant can be obtained by obtaining the vegetation index and the vegetation coverage of the target plant, so that the influence of the plant canopy structures in different growth stages on the vegetation index is eliminated; further, the plant nitrogen content of the target plant is obtained according to the canopy structure correction index, and accurate monitoring of the plant nitrogen content of the target plant in different growth stages is achieved.

The invention relates to a method for measuring plant height based on a vehicle-mounted laser radar, which comprises the following steps: laser point cloud subscription and coordinate system correction: the laser radar directly acquires reflection point information at the top of a plant canopy in a vertically downward scanning mode; performing terrain adaptive local area point cloud enhancement, detecting the local point cloud density in real time, and adaptively generating new interpolation points, so that the overall distribution of the point cloud is uniform; carrying out multi-plane segmented ground fitting; non-plant points are automatically identified and removed based on filtering of geometric features; point cloud clustering and plant height extraction are carried out, the highest point position of each plant is determined, and the plant height of each crop is accurately calculated; and time sequence Kalman filtering smooth tracking is carried out, and a stable smooth plant height value is estimated and output in real time. According to the method, point density self-adaptive enhancement is carried out on the sparse point cloud area of the plants in the landforms such as slopes and hills, the precision of the plant height calculation reference plane and the subsequent clustering precision are improved, the instantaneous measurement error caused by wind-blown crop shaking and platform movement is effectively reduced, and the measurement stability is greatly improved.

The invention relates to a cotton leaflet character regulation gene and an encoded protein and application thereof, and relates to the technical field of plant genetic engineering, the nucleotide sequence of the gene is shown as SEQ ID NO.1, and the amino acid sequence of the encoded protein is shown as SEQ ID NO.2. According to the invention, a gene capable of regulating and controlling the leaf rolling character of cotton is obtained by cloning from the goblet oilless cotton and is named as a Ghcup gene, and silencing research is carried out on the Ghcup gene in upland cotton goblet oilless cotton by constructing a VIGS vector of the Ghcup gene of the cotton, so that the Ghcup gene can be used for regulating and controlling the leaf rolling character of the cotton. A cotton Ghcup gene overexpression vector is constructed, transgenic overexpression is carried out in normal broad-leaf upland cotton Xinluzhong 75, and results show that the curly phenotype of an oilless goblet-leaf cotton leaf of a silent Ghcup gene disappears, the overexpression of the gene causes the upward curly shape of the Xinluzhong 75 cotton leaf to be similar to a cup shape, and the cotton Ghcup gene overexpression vector is used for transgenosis overexpression in the normal broad-leaf upland cotton Xinluzhong 75. Therefore, the Ghcup gene has great application potential in the aspects of improving the leaf shape and the plant canopy structure of the cotton, improving the photosynthetic efficiency of the plant and the like.

The invention discloses a garden intelligent spraying control method and system based on computer vision, and belongs to the technical field of computer vision, and the method specifically comprises the steps: obtaining plant canopy image data and multi-dimensional environment parameters through a sensing device disposed in a garden area; analyzing the image by using a pre-trained disease and insect pest recognition model, and generating an initial spraying demand vector containing disease and insect pest categories, infection grades and spatial position information; constructing a three-dimensional temperature field reflecting vertical temperature distribution from the canopy to the earth surface based on the temperature sensor array, and extracting temperature gradient data; through a pre-established temperature-pesticide effect coupling model, optimizing the initial spraying demand vector according to the real-time temperature data, and determining the optimal spraying amount and the operation opportunity; a spraying instruction is generated, and an executing mechanism is driven to achieve precise spraying. According to the invention, deep fusion of disease and pest identification and environment adaptive spraying is realized, the pesticide utilization rate and the control effect are improved, and pesticide liquid waste and environmental pollution are reduced.

1. The name of the design product: canopy analyzer. 2. The use of the design product: the design product is used in agricultural production and agricultural scientific research, for investigating canopy light energy resources, measuring the interception of light in plant canopy, and studying the relationship between crop growth, yield, quality and light energy utilization. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

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.

The invention relates to the technical field of garden potting detection, in particular to an automatic pest and disease detection device and method for garden potting, and the device comprises a vehicle frame, a lifting assembly, a rotating disc and a rotating arm, and the rotating arm comprises an adjusting member, a supporting arm, a shell, a multispectral camera and a visible light camera. The device is moved to a to-be-detected potted plant, at the moment, the supporting arm is located on the side of the periphery of a canopy of the potted plant, the multispectral camera and the visible light camera face the potted plant, the rotating disc is driven to rotate through the lifting assembly, and then the supporting arm, the shell, the multispectral camera and the visible light camera are driven to do circular motion; the multispectral camera and the visible light camera are used for acquiring images, respectively acquiring spectral reflection data and morphological images of the potted plant in different directions, and sending the data to the processing unit; and the processing unit outputs a visual result to the terminal, so that accurate recognition and positioning of the diseases and insect pests are realized.

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.

The invention discloses a vision-based plant canopy coverage rate calculation method, system and device. The method comprises the following steps: acquiring an initial top surface plant image, an initial side surface plant image and a rotary side surface plant image through a top surface image acquisition device and a side surface image acquisition device; through plant leaf extraction, an initial side leaf image, a rotary side leaf image and a top leaf image are obtained; through skeleton line extraction, obtaining an initial skeleton line image and a rotating skeleton line image, and further obtaining plant stalk coordinates in the initial top surface plant image; acquiring an included angle with a plane where the side image acquisition device is located through the leaf vertex coordinate set and the plant stalk coordinate; and rotating the to-be-detected plant through the included angle, carrying out image acquisition to obtain a top surface plant image set, and carrying out projection and area analysis to obtain the plant canopy coverage rate. According to the invention, images of the side surfaces and the top surfaces of the plants are collected and analyzed, and the calculation accuracy and the calculation efficiency are improved.

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 utility model relates to a workshop canopy mounting structure, which belongs to the technical field of mounting structures and comprises a concrete wall and a canopy body, and a mounting plate is arranged on the left side of the canopy body. According to the factory building canopy mounting structure, when the canopy body is mounted, no less than two fixing plates can be fixed to the right side of a concrete wall through no less than two bolts, so that the canopy body and the concrete wall are kept in a vertical state, fixed mounting is achieved, then a plurality of threaded cylinders are twisted, and the canopy body is fixed to the right side of the concrete wall. A plurality of threaded rods move downwards in a plurality of threaded cylinders, and a plurality of first steel wire pull rods and a plurality of second steel wire pull rods can be straightened, so that the canopy body can be stably fixed, and the mounting and fixing stability of the canopy body is improved; and when the canopy body is installed, the supporting keels are not arranged in a crossed manner, so that the use of raw materials can be reduced, and the cost can be saved.

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.

A horticultural lighting and ventilation apparatus and method are disclosed for use in controlled environment agriculture (CEA), including greenhouse and indoor horticulture applications. The apparatus comprises a hollow body equipped with a fan capable of moving air through the interior channel in multiple directions, thereby enabling selective intake and expulsion of air relative to a plant canopy. A plurality of light-emitting diodes (LEDs) attached to the hollow body provides high-efficiency illumination, while the forced airflow helps cool the LEDs and circulates air throughout the canopy to regulate temperature, humidity, and gas exchange. Embodiments include configurations for remote or network-based control of fan speed, direction, and LED intensity, allowing scalable arrays of the apparatus to deliver uniform or zoned environmental conditions in large horticultural facilities. The approach facilitates energy savings, improves microclimate stability, and enhances overall crop performance, particularly in densely planted or high-intensity growing environments.

The present invention discloses a field open-type warming test device and an installation method. The device includes multiple wind poles, each of which is provided with a first clamping plate, on which a combination bracket is supported, and multiple infrared radiation heating components are provided below the combination bracket. The combination bracket is also provided with a detachable connecting rod assembly, one end of which is connected to a canopy temperature sensor via a second clamping plate. The canopy temperature sensor is arranged at an angle, and the sensor probe of the canopy temperature sensor is oriented toward the infrared radiation heating component. The field open-type warming test device is based on a movable and adjustable infrared radiation heater, which can achieve timed warming of the plant canopy, regulate the warming amplitude in real time according to the target temperature difference, and automatically record data. The heat source height can also be adjusted according to changes in plant height caused by changes in the crop growth period. It is particularly suitable for conducting field experiments related to crop growth responses under simulated future climate warming conditions.

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 invention discloses a light-wind collaborative plant canopy environment optimization method and a light supplement lamp, and the method comprises the steps: comparing a collected current environment parameter with an environment reference value, if the current environment parameter and the environment reference value are in an allowable difference range, executing a conventional strategy, and maintaining the basic illumination intensity and basic air supply speed; if the difference between the current environment parameter and the environment reference value is not allowed, an optimization strategy is executed, and the illumination intensity and the air supply speed are increased or decreased; and after the optimization strategy is executed for a set time, if it is detected that the new environment parameter and the environment reference value have a difference beyond permission, an emergency strategy is executed, and manual intervention adjustment is performed. Through cooperative regulation and control of vertical air supply and light supplement, gas distribution, humidity and illumination conditions at the bottom of the canopy are optimized, the growth efficiency of crops is improved, diseases are inhibited, the microenvironment at the bottom of the canopy in a high-density planting environment is remarkably improved, and the method is suitable for crop cultivation in plant factories.

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 application provides a spray parameter acquisition method based on plant canopy density and a sprayer, and relates to the technical field of agricultural plant protection. The method comprises the following steps: determining the point cloud quantity of a plant to be sprayed in multiple canopy regions according to the canopy point cloud data of the plant to be sprayed; determining the leaf area index of each canopy region of the plant to be sprayed according to the point cloud quantity of the plant to be sprayed in the multiple canopy regions; determining the canopy density of each canopy region of the plant to be sprayed according to the leaf area index of each canopy region of the plant to be sprayed; inputting the canopy density of each canopy region of the plant to be sprayed into a correlation model to obtain the corresponding spray parameters of each canopy region of the plant to be sprayed; and the correlation model is used to represent the correlation between the canopy density and the spray parameters. The application realizes the accurate acquisition of the corresponding spray parameters of each canopy region, thereby improving the accuracy and efficiency of spraying.

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 utility model discloses a kind of riverside landscape greenery ecological planting boxes, specifically related to ecological planting box technical field, including: planting box, the inside of planting box is fixed with perforated plate, the top of perforated plate is equipped with gravel layer, the top of gravel layer is equipped with geotextile filter layer, the top of geotextile filter layer is equipped with multiple fixed partitions, multiple fixed partitions divide planting box inside into multiple planting cavities;Multiple groups of inclined hollow water-adding plates.The utility model is realized to the root of plant by the inclined hollow water-adding plate of setting in the top of planting cavity, realizes accurate irrigation to plant root.The structure is hidden under plant canopy, avoids the problem that traditional sprinkling device is exposed to affect the overall aesthetic appearance of landscape.Meanwhile, the inclined surface design cooperates with water leakage hole, can make moisture evenly, slowly penetrate into matrix soil, effectively reduce water evaporation and surface runoff, greatly improve water resource utilization rate.

The invention discloses a green plant flowering phase synchronous regulation and control method and system based on dynamic perception, and the method comprises the steps: obtaining a green plant canopy multispectral image sequence and ambient light spectrum distribution data through the scanning of a visible light-near infrared dual-channel imaging device; plant physiological status vectors are generated by extracting chlorophyll fluorescence intensity values, anthocyanin reflectivity and other characteristics, and accurate data are provided for subsequent regulation and control; with the help of a flowering phase convolution prediction model optimized by transfer learning, an ambient light spectrum and historical phenological data are fused, and a flowering time window of each green plant is accurately predicted; green plants with abnormal flowering phases are screened out through space-time overlay analysis, compensation spectrum parameters are calculated to generate a spectrum regulation and control instruction, and finally directional irradiation is carried out through a rotatable array type spectrum emitter. According to the method, the accuracy of synchronous regulation and control of the flowering phase of the green plants can be improved.