54 results about "Plant physiology" patented technology

The invention relates to the crossing field of agricultural intelligent algorithms and intelligent equipment technologies, in particular to an environment regulation and control model algorithm and algorithm model platform fusing crop physiology. According to the model algorithm, through four-step calculation of spatio-temporal heterogeneity adaptation, multi-source data dynamic coupling, stress self-adaptive adjustment and self-learning iterative optimization, a partition precise regulation and control decision value is generated; the algorithm model platform comprises a data acquisition layer (a partition sensor and a multi-source interface), a feature processing layer (a three-dimensional feature library and data preprocessing), a model algorithm layer (deploying the model algorithm) and a platform application layer (partition regulation and control and closed loop feedback), and full-link cooperation of algorithm calculation, platform execution, effect feedback and algorithm iteration is achieved. The crop yield is increased by 15-20%, water resources are saved by 25-30%, and the method is suitable for multi-crop facility agriculture scenes.

The invention discloses a collaborative light regulation and control decision method and system, and relates to the technical field of intelligent regulation and control of plant factory light environments, and the system comprises a plant physiology monitoring unit which is provided with a non-invasive microelectrode array and a hyperspectral imager; and the environment sensing unit is used for collecting illumination intensity, spectrum, temperature, humidity and carbon dioxide concentration data. According to the collaborative light regulation and control decision-making method and system, fusion of multi-source heterogeneous data is realized through a pulse time sequence coding mechanism, and the problem that environmental parameters and plant physiological statuses are difficult to collaboratively analyze in the prior art is solved; based on a dynamic optimization architecture of double-alliance Nash equilibrium, autonomous collaborative decision-making of spectrum parameters can be completed in a short time, and compared with a traditional preset light formula, the response speed is improved; decision effectiveness can be synchronously guaranteed on the virtual model and biological entity level, the light suppression misjudgment rate is reduced, and meanwhile the plant light energy utilization rate is stably improved.

The invention discloses a gene RhNADP-LIKE for regulating and controlling Chinese rose flower aging, and particularly relates to the technical field of molecular biology and horticultural plant physiology. According to the invention, bottle insertion life phenotype data of 358 parts of core germplasm of tetraploid Chinese rose is screened through genome-wide association analysis (GWAS), and the gene RhNADP-LIKE significantly associated with senescence is identified. The gene accelerates the aging process of petals by regulating the accumulation of reactive oxygen species (ROS). After RhNADP-LIKE expression is inhibited by using a virus-induced gene silencing (VIGS) technology, the blooming period of rosa chinensis flowers is prolonged by about 2 days, and the ROS level is remarkably reduced. The invention provides a molecular target for prolonging the vase life of the Chinese rose, can be applied to gene editing breeding or development of an environment-friendly preservative, reduces the dependence of chemical agents, and improves the economic benefit and sustainable development potential of the cut flower industry.

The invention discloses a multi-dimensional data monitoring and collaborative management and control method and system for a plant intelligent factory, and belongs to the technical field of collaborative control, and the method specifically comprises the steps: collecting multi-dimensional data of the plant intelligent factory in real time, the multi-dimensional data comprising plant physiological parameters, environmental factor parameters, nutrient solution parameters and equipment and operation state parameters, and based on the multi-dimensional data, constructing a dynamic multi-level causal association model among equipment, plant physiology, environment and operation, identifying a potential cooperative influence path in an abnormal state, and automatically performing cross-level management and control when an abnormality is detected or a growth process is predicted to deviate from a trend. The cross-level management and control instructions are distributed to an equipment level, a cultivation unit level and a workshop level according to levels, and multi-link linkage regulation and control are carried out on the intelligent plant factory; according to the method, by establishing a causal association and path cooperation mechanism, regulation and control are more accurate, flexible and adaptive, and the stability, resource utilization rate and intelligent level of plant production are effectively improved.

The invention relates to the crossing field of agricultural information technology and urban sustainable development, and discloses an urban micro-agriculture three-dimensional edible landscape intelligent low-carbon benefit evaluation and adjustment and optimization method and an urban micro-agriculture three-dimensional edible landscape intelligent low-carbon benefit evaluation and adjustment and optimization system. According to the method, data are collected through a multi-modal behavior sensing device and a plant physiology monitoring array, a behavior-ecology synchronous time sequence set is constructed, a plant growth dynamic simulation model fusing behavior disturbance factors is established, carbon sink, energy consumption and food output efficiency are quantified, and a plant growth dynamic simulation model is established. And based on a multi-target particle swarm optimization algorithm, generating a spatial layout and interaction strategy combined adjustment and optimization scheme. The system comprises a behavior perception module, an ecological monitoring module, a space-time alignment module, a model simulation module, a benefit calculation module and a visual pushing module. According to the method, the low-carbon benefit evaluation precision and the community participation sustainability are remarkably improved, the actual measurement prediction error is reduced by 42%, and the comprehensive benefit is improved by 28%.

The present application relates to the field of plant physiology and ecology and plant chemistry, and particularly relates to a method for improving the content of gypenoside R2 in the root system of Suaeda by salt stress and application. The Suaeda plants are stressed by 100-300 mmol / L NaCl solution for 28 days, and the root system is collected to obtain the raw material rich in target saponins. The method can significantly improve the relative content of target saponins gypenoside R2 in the root system of Suaeda. Compared with the control group, the low-salt treatment can increase by 65.34%, the medium-salt treatment can increase by 161.83%, and the high-salt treatment can increase by 240.84%.

The invention relates to a salt and alkali tolerant plant growth promoting enterobacter and application thereof, and belongs to the technical field of microorganism application and agricultural biotechnology, the salt and alkali tolerant plant growth promoting enterobacter is Enterobacter cancerogenic enterobacter PGPR AT1, and the bacterial agent contains the Enterobacter cancerogenic enterobacter PGPR AT1. The growth-promoting enterobacter is applied to plant growth promotion under severe saline-alkali stress conditions or normal growth conditions. The salt-alkali tolerant plant growth promoting enterobacter can directly or indirectly synergistically promote microorganisms for crop growth, and can be prepared into an efficient and stable microbial agent. The microbial agent can achieve a synergistic effect from three aspects of soil, root systems and plant physiology, the physiological stress of crops in the saline-alkali soil is remarkably relieved, the yield, biomass and stress resistance of the crops are fundamentally improved, and long-acting and sustainable improvement on the saline-alkali soil is achieved.

The application discloses a plant intelligent factory multidimensional data monitoring and collaborative control method and system, and belongs to the technical field of collaborative control. The method specifically comprises the following steps: collecting multidimensional data of a plant intelligent factory in real time, wherein the multidimensional data comprises plant physiological parameters, environmental factor parameters, nutrient solution parameters, and device and operation state parameters; based on the multidimensional data, a dynamic multi-level causal correlation model between devices, plant physiology, environment and operation is constructed; potential collaborative influence paths in an abnormal state are identified; when an abnormality is detected or a growth process deviates from a trend is predicted, cross-level control is automatically performed; cross-level control instructions are distributed to the device level, the cultivation unit level and the workshop level according to the levels; and the plant intelligent factory is subjected to multi-link joint regulation and control. Through the establishment of the collaborative mechanism of the causal correlation and the path, the regulation and control are more accurate, flexible and adaptive, and the stability, resource utilization rate and intelligent level of plant production are effectively improved.

The invention belongs to the technical field of plant physiology monitoring, and provides a kale seedling stage drought stress identification modeling method, which comprises the following steps: selecting seedlings with uniform growth states, averagely dividing the seedlings into a control group and a light / medium / heavy drought group, and collecting images marked with nine fluorescence parameters of each group of seedling leaves. Based on the parameters, five kinds of relations and constraints of PSII energy distribution conservation, quenching complementation and the like are established, the first two kinds of constraints are converted into constantly established hard constraints, the last two kinds of constraints are converted into differentiable soft constraints, and photosynthetic physiological constraint loss is jointly formed; and constructing related prototype alignment and directional constraints in combination with a collaborative response mode of parameters under normal and drought stress to form collaborative constraint loss. And on the basis of task loss, fusing two types of constraint loss and giving a weight to obtain a total loss function, thereby constructing a drought stress identification model. The technical problems that a pure data driving model is lack of interpretability, weak in generalization ability and poor in stability are solved.

The utility model discloses a water level regulation and control experimental facility relates to water level regulation and control technical field, including planting box, water storage tank, liquid level sensor and control unit, plant is planted in the bottom of planting box, the planting box is equipped with drainage pump and liquid level sensor, drainage pump is communicated with water storage tank through drainage pipe, water storage tank is equipped with water inlet pump, water level sensor is equipped with water inlet pump. The water storage tank is used for containing a water source, the water inlet pump communicates with the planting box through a water inlet pipe, and the liquid level sensor, the drainage pump and the water inlet pump are in communication connection with the control unit. The liquid level sensor in the level regulation and control experimental device can display the water level in the planting box in real time, the planting box is communicated with the water storage box through the water pump, the control unit can regulate and control the water level in the planting box in real time according to the reading of the liquid level sensor, quantification and automatic control of water flooding conditions are ensured, manual monitoring is not needed, and the labor intensity of workers is reduced. A reliable tool is provided for plant physiology and ecology research.

The invention relates to the field of plant physiological ecology and phytochemistry research, in particular to a method for increasing flavonoid substances in suaeda salsa root exudates under saline-alkali stress and application. And carrying out stress treatment on the suaeda salsa plant for 6-8 weeks by using a NaCl solution with the concentration of 50-300 mmol / L or an alkali solution with the pH value of 8.0-9.0, and collecting a culture solution to obtain the root exudates rich in target flavonoid substances. According to the method, the relative content of the target flavonoid substance 3, 5-Di-O-methyl-8-prenylafelectin-4beta-ol in the suaeda salsa root exudates can be remarkably increased, and compared with a control group, the relative content of the target flavonoid substance 3, 5-Di-O-methyl-8-prenylafelectin-4beta-ol in the suaeda salsa root exudates can be increased by 44.64% through low-salt (100 mmol / L NaCl) treatment and can be increased by 28.9% through high-alkali (pH 9.0) treatment.

The invention relates to the technical field of agricultural breeding, in particular to green agricultural ecological breeding equipment and a breeding method.The green agricultural ecological breeding equipment comprises a breeding shell, an operation opening is formed in one side of the breeding shell, an opening and closing door is slidably arranged on the operation opening, and a rainproof ceiling is arranged at the top of the breeding shell through a plurality of supporting columns; a mounting cover is arranged in the center of the bottom of the breeding shell; the rotating shaft is controlled to rotate through the driving motor, then the illuminating lamp ring is controlled to move up and down, the track of the sun is accurately simulated, the natural-imitated illumination rhythm better conforms to plant physiology, green seedlings which are higher in stress resistance and more robust can be cultivated, meanwhile, due to the arrangement of the cultivation grooves, breeding matrixes and seeds can be conveniently borne, and the breeding efficiency is improved. The seed seedlings can uniformly receive light.

The invention discloses a plant physiology monitoring and irrigation control system and method and a readable storage medium, and the system employs an ultrasonic sensor to obtain an acoustic emission signal generated by a plant, and carries out the processing of the acoustic emission signal, so as to obtain acoustic characteristics representing the acoustic characteristics of the plant. A multi-modal physiological sensor is adopted to obtain a plant physiological signal and process the plant physiological signal to obtain physiological characteristics representing plant physiological characteristics; and then fusing the acoustic features and the physiological features by using a multi-modal fusion model to obtain a plant feedback index (PFItotal) representing the internal stress state of the plant, predicting a future plant stress trend by using a prediction model, and finally feeding back a stress trend prediction result for controlling an irrigation decision to realize adaptive irrigation adjustment. According to the system, irrigation control can be directly, autonomously and accurately carried out according to physiological needs of plants, early-stage stress detection and control can be achieved several hours before visible symptoms appear, and water consumption can be reduced according to plant types and climate conditions.

The present application relates to the technical field of agricultural sensor, and particularly relates to a PVA and HAMA composite hydrogel microneedle for crop monitoring and a preparation method thereof. The microneedle is composed of a microneedle layer formed by photo-crosslinking and a back layer formed by physical crosslinking. The preparation method comprises the following steps: preparing a photoinitiator solution; preparing and defoaming a HAMA solution; adding the HAMA solution into a PDMS microneedle mold, centrifugal filling, temperature control concentration and violet light curing to form the microneedle layer; then adding a PVA solution to the back of the microneedle and drying to obtain a microneedle array. The obtained microneedle has good mechanical strength, water absorption and biocompatibility, can penetrate the cuticle layer of plant leaves or stems under low damage conditions, and realizes the collection of trace liquid in the plant body. The microneedle can be used as a sensing substrate for monitoring pH, conductivity, moisture and ions, and can realize real-time non-invasive monitoring of the physiological state of crops. The present application has simple process, low cost and can be prepared on a large scale, and is suitable for the fields of smart agriculture, precision management and plant physiology research.

The invention relates to a measuring and calculating model for amorpha fruticosa plant height change in an ecological restoration area, which comprises the following steps: (1) defining model parameters; (2) establishing a growth equation; (3) setting boundary conditions; and (4) model verification. According to the method, an equation for describing the plant growth rate can be established according to the plant physiology principle according to key indexes, such as illumination, moisture and nutrients, influencing plant growth in the restoration area, the plant height change process of amorpha fruticosa under different conditions is simulated, and corresponding results are output; the method can quickly and accurately estimate the influence process of various factors in the restoration area on the amorpha fruticosa plant height change, and can adjust the maintenance strategy in time according to the measurement result.

The invention discloses a blueberry seedling growth simulation model construction and decision optimization method, and relates to the technical field of blueberry seedling, a blueberry seedling region is gridded, and each grid is provided with a blueberry growth monitoring module and an environmental water and fertilizer response device. The blueberry growth monitoring module comprises an environmental parameter monitoring unit, a plant physiology monitoring unit, a root system monitoring unit and an edge data acquisition and analysis unit; the dynamic blueberry seedling raising model comprises a fusion mechanism model photosynthesis sub-model, a respiration sub-model and a root growth sub-model. According to the invention, the multi-dimensional monitoring module is deployed in a gridding manner, cooperative sensing of the seedling raising environment, the plant physiology and the root system state is realized, the problem of fragmentation of traditional monitoring is solved, and the monitoring precision is greatly improved. And the multi-mechanism sub-models are coordinated and linked, so that the growth state prediction deviation is greatly reduced, and dynamic quantitative pre-judgment of indexes such as biomass and root development is realized.

The invention discloses a leaf sensor patch for monitoring plant physiology as well as a preparation method and an application method thereof, and belongs to the technical field of plant sensing. The blade sensor patch comprises a flexible substrate, a silver nanowire cross electrode and a sensor group; the sensor group comprises at least one resistance-type volatile organic compound sensor, at least one resistance-type blade temperature sensor, at least one capacitance-type blade surface humidity sensor and at least one capacitance-type environment humidity sensor; the silver nanowire cross electrode is embedded into the flexible PDMS substrate, the sensor group is integrated on the surface of the flexible PDMS substrate, and all sensors in the sensor group are connected with the silver nanowire cross electrode. Synchronous monitoring of volatile organic compounds of leaves, surface temperature / humidity and environment humidity is achieved, high sensitivity and selectivity are achieved, and the problem that an existing plant physiology monitoring sensor cannot synchronously monitor plant biochemical signals and biophysical signals can be effectively solved.

The invention relates to the technical field of environmental monitoring and plant physiology ecology, in particular to an assimilation box device for single plant carbon sink metering, which comprises a base sleeved on a single plant, the top surface of the base is fixedly connected with a support frame, and one end of the support frame away from the base is detachably connected with a box body. An air inlet assembly and an air outlet assembly are arranged on the upper portions of the opposite side walls in the box body respectively, trays are arranged on the lower portions, extending out of the box body, of the air inlet assembly and the air outlet assembly respectively, wiring holes communicated with an inner cavity of the box body are formed in the trays, and circulating fans used for enabling air in the box body to flow circularly are arranged at the opposite corners of the box body respectively. The box body is detachably connected with the supporting frame, so that the portability and the rapid deployment capability of field operation can be effectively considered, and a target single plant can be accurately isolated and measured; and non-uniform gas distribution in the box body can be avoided through the gas inlet assembly, the gas exhaust assembly and the circulating fan, so that the measurement precision is effectively improved.

The invention relates to the field of indoor landscaping, and discloses an indoor landscaping intelligent landscape stone table which comprises a landscape stone table body, a stone scene is arranged at the top of the landscape stone table body, an adjusting structure is installed at the top of the stone scene, and an intelligent control module is arranged on one side of the landscape stone table body. The intelligent control module comprises a multi-scale sensing unit, a multi-scale modeling unit, a control execution unit and an interactive operation and maintenance unit; the multi-scale sensing unit is used for collecting plant physiology and environment parameters on the landscape stone table in real time to form multi-source data, and a multi-physics coupling theory is adopted to construct a cross-scale mathematical model and quantitatively describe plant physiology and environment parameter evolution. Multi-source data are formed by collecting plant physiology and environmental parameters on a landscape stone table in real time, a cross-scale mathematical model is constructed based on the multi-source data, and the plant growth state and the environmental evolution trend are quantitatively predicted, including dynamic changes of safety risks, fusion of the evolution trend and real-time data, to generate a control strategy.

In the present invention, an artificial modification is made such that the flow of water and nutrients, i.e., circulation of nutrients, to a portion of a plant body is in the opposite direction from the natural direction. This is fatal to the plant body, applying intense stress and causing many portions to wither. However, even if intense stress is applied by the method of the present invention, a very small fraction of plants survive and grow, and therefore the plants can be adapted and acclimatized in order to leave the next generation. The present invention utilizes variations that occur and mutations that are induced in such instances. The present invention is carried out using cutting, layering, and grafting, and is successful in some crops. At present, layered muskmelon has particularly excellent compatibility with the present invention. It is confirmed that the present invention yields many advantages over control rootstock, such as an increase in sugar content and an increase in the robustness of rootstock. An effect is also achieved wherein some of these advantages are inherited by the next generation. The method according to the present invention is simple and can be carried out by anyone without genetic testing. Additionally, it is believed that the present invention opens the way for new development in the research of plant physiology as well.

The invention discloses a cotton boll water flux balance equation and a phloem hydraulic conductivity quantification method, and relates to the technical field of plant physiology and agricultural engineering. The method comprises the following steps: measuring the water vapor diffusion conductance of the fruit surface and the hydraulic conductance of the fruit xylem, monitoring the fresh weight and dry weight change of the fruit and the daily change of the water potential of the fruit and the stem, establishing a water flux balance equation of entering and exiting the fruit, and calculating the hydraulic conductance of the phloem. Parameters such as related conductance and osmotic potential are calculated through a formula, the phloem water flux is calculated according to a fruit phloem sugar unloading path selection formula, and then the phloem hydraulic conductance is obtained. The method solves the problem that a systematic quantification method for phloem hydraulic conductivity is lacked in the prior art, can accurately track the moisture flux of the fruits, provides a basis for crop stress-resistant variety breeding and accurate irrigation, and is suitable for fruit crops such as cotton and the like.

The invention provides a plant disease and insect pest detection-diagnosis-regulation method and system, and relates to the technical field of intelligent agriculture and forestry management. According to the method, multi-source monitoring data such as plant images, soil physicochemistry, plant physiology and environmental meteorology are integrated, comprehensive diagnosis and prediction are carried out based on the AI analysis model, the limitation of single data source analysis is overcome, and the early recognition accuracy and early warning timeliness of plant health conditions and plant disease and insect pest risks in a complex environment are remarkably improved. Through cross validation and complementation of multi-dimensional data, misjudgment and missed judgment are reduced, the diagnosis result is more comprehensive and reliable, and a solid data foundation is laid for precise regulation and control.

The utility model relates to the technical field of plant physiology and ecology data collection, in particular to a robot capable of automatically placing and recycling a gas collection box. The utility model discloses a robot for automatically placing and recycling a gas collection box. One end of a trolley base is fixedly connected with a radar control tower, and the radar control tower is used for fixing a laser radar; an electric suction cup and a depth camera are mounted at one end of the six-axis mechanical arm, and the other end of the six-axis mechanical arm is fixedly connected with the other end of the trolley base through a metal connecting piece and used for placing and / or carrying the gas collection box in a non-coaxial mode; the gas collection box is arranged at a reserved position of the trolley base and is used for collecting a gas sample; the depth camera is used for collecting image information; the electric suction cup is used for adsorbing the gas collection box to realize placement and recovery of the gas collection box, and the laser radar is used for scanning an actual scene to generate a 2D map. According to the utility model, the six-axis mechanical arm and the depth camera are adopted, so that the accurate placement and recovery of the gas collection box are realized, the labor cost is reduced, and the working efficiency is improved.

The invention discloses a Clematis florida ClLEA coding sequence and application thereof, and belongs to the fields of molecular biology, plant physiology, gene engineering and the like. According to the invention, a ClLEA coding sequence is screened and expressed in clematis, so that the water logging tolerance of arabidopsis thaliana is remarkably improved. The gene and the protein thereof provided by the invention can be applied to genetic improvement of plants, and an effective technical means is provided for cultivating new varieties of crops, horticultural crops and the like with enhanced waterlogging tolerance.

In the present invention, an artificial modification is made such that the flow of water and nutrients, i.e., circulation of nutrients, to a portion of a plant body is in the opposite direction from the natural direction. This is fatal to the plant body, applying intense stress and causing many portions to wither. However, even if intense stress is applied by the method of the present invention, a very small fraction of plants survive and grow, and therefore the plants can be adapted and acclimatized in order to leave the next generation. The present invention utilizes variations that occur and mutations that are induced in such instances. The present invention is carried out using cutting, layering, and grafting, and is successful in some crops. At present, layered muskmelon has particularly excellent compatibility with the present invention. It is confirmed that the present invention yields many advantages over control rootstock, such as an increase in sugar content and an increase in the robustness of rootstock. An effect is also achieved wherein some of these advantages are inherited by the next generation. The method according to the present invention is simple and can be carried out by anyone without genetic testing. Additionally, it is believed that the present invention opens the way for new development in the research of plant physiology as well.

The invention provides a method for predicting the early nicotine conversion rate of tobacco nicotine transformed plants based on a hyperspectral technology and application, and belongs to the technical field of agricultural information technologies and plant physiology. The method is used for solving the technical problems of hysteresis, destructiveness and low efficiency caused by the traditional method for determining the nicotine conversion rate and screening the nicotine transformant by a pure chemical method. The identification method comprises the following steps: acquiring hyperspectral data of a to-be-detected tobacco plant, inputting the hyperspectral data of the to-be-detected tobacco plant into a tobacco nicotine transformed plant early-stage identification model, predicting the content of nicotine and nornicotine, calculating the nicotine transformation rate, and judging the type of the to-be-detected tobacco plant according to the nicotine transformation rate. Based on the combination of hyperspectral remote sensing and machine learning, the nicotine and nornicotine contents of the tobacco plants are predicted, and the nicotine conversion rate is rapidly determined, so that the rapid, accurate and nondestructive early screening method for the tobacco nicotine transformed plants is realized.

The invention relates to an application evaluation method of urban garden green land biochar, which comprises the following steps: applying biochar in a target green land, based on soil in-situ micro-scale characteristics, identifying a carbon active anchor point area formed by the biochar in a soil microporous structure by adopting a local electrochemical scanning and humidifying extraction technology, and constructing a soil carbon micro-area reaction unit; the method comprises the following steps: carrying out multi-period synchronous monitoring on a plant rhizosphere environment, extracting dynamic change data of rhizosphere pH value, conductivity and root secretion release, and representing linkage characteristics of plant physiology and soil carbon response; monitoring the variation amplitude of soil microbial communities and physicochemical properties, identifying the soil memory effect induced by charcoal, and calculating an activation memory index; by controlling the concentration gradient of heavy metal ions in the soil, the binding and desorption behaviors of the biochar to the metal ions are observed, carbon and metal steady-state window parameters are identified, and the stability limit in the biochar conditioning process is determined; setting a multi-round application scheme, and analyzing the action trend of the biochar under different application paths.

The invention discloses a method for selectively extracting plant xylem embolism conduit juice, and belongs to the technical field of plant physiology research. In order to solve the problem that pure embolism catheter juice cannot be distinguished and obtained in the prior art, a plant stem section in a specific water stress state is obtained, the morphological lower end of the plant stem section is connected with a hydrophobic extracting solution, the upper end of the plant stem section is connected with a collecting system applying 0.01-0.1 MPa negative pressure, the extracting solution is driven by the negative pressure to selectively enter and flow through an embolism catheter, and the juice in the embolism catheter can be obtained. Meanwhile, due to the fact that the applied pressure is far smaller than the pinhole membrane fixing force borne by a water column in the functional catheter, the juice in the functional catheter can be reserved. Specific extraction of embolism catheter juice is realized for the first time, and a reliable method is provided for directly analyzing physicochemical properties of the juice and researching an osmotic regulation mechanism of xylem embolism repair.

The invention provides a plant liquid flow velocity measurement method and system, computer equipment and a medium, and belongs to the field of liquid flow velocity detection in phytophysiology, the method comprises the following steps: collecting upstream and downstream discrete sequences of a target plant branch liquid flow to construct a cross-correlation function; calculating a sampling point interval by using an initial window, substituting all sampling points into a cross-correlation function to calculate a cross-correlation value, and counting a maximum value and a mean value; determining the transit time based on the sampling point corresponding to the maximum value, and adaptively adjusting the window size according to the standard deviation of the transit time and the maximum peak value and mean value of the cross-correlation value until the stability and correlation constraint conditions are met; according to the method, self-adaptive adjustment of the window length is achieved, the measurement problem caused by long signal delay time at the plant liquid flow velocity is effectively solved, the reliability and efficiency of plant liquid flow velocity measurement are remarkably improved, and an effective technical means is provided for plant physiology and ecology research.

The application provides a plant liquid flow velocity measurement method, system, computer device and medium, and belongs to the field of liquid flow velocity detection in plant physiology. The method comprises the following steps: collecting upstream and downstream discrete sequences of target plant branch sap flow to construct a cross-correlation function; calculating a sampling point interval by using an initial window, substituting all sampling points into the cross-correlation function to calculate cross-correlation values, and counting a maximum value and a mean value; determining a transit time based on the sampling point corresponding to the maximum value, and adaptively adjusting the window size according to the standard deviation of the transit time and the maximum peak value and the mean value of the cross-correlation values until the stability and correlation constraint conditions are met; the method realizes adaptive adjustment of the window length, effectively solves the measurement problem caused by long signal delay time of plant liquid flow velocity, significantly improves the reliability and efficiency of plant liquid flow velocity measurement, and provides an effective technical means for plant physiological and ecological research.