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72 results about "Stomatal conductance" patented technology

By definition, stomatal conductance, usually measured in mmol m⁻² s⁻¹, is the measure of the rate of passage of carbon dioxide (CO₂) entering, or water vapor exiting through the stomata of a leaf. Stomata are small pores on the top and or bottom of a leaf that are responsible for taking in CO₂ and expelling water vapour. The rate of stomatal conductance, or its inverse, stomatal resistance, is directly related to the boundary layer resistance of the leaf and the absolute concentration gradient of water vapor from the leaf to the atmosphere. It is under direct biological control of the leaf through the use of guard cells, which surround the stomatal pore (Taiz/Zeiger 1991). The turgor pressure and osmotic potential of guard cells is directly related to the stomatal conductance. Stomatal conductance is a function of stomatal density, stomatal aperture, and stomatal size. Stomatal conductance is integral to leaf level calculations of transpiration (E). Multiple studies have shown a direct correlation between the use of herbicides and changes in physiological and biochemical growth processes in plants, particularly non-target plants, resulting in a reduction in stomatal conductance and turgor pressure in leaves.

Farmland environment multi-parameter intelligent monitoring system and method based on Internet of Things

The invention discloses a farmland environment multi-parameter intelligent monitoring system and method based on Internet of Things, particularly relates to the technical field of agricultural Internet of Things monitoring, and is used for solving the problem of stress resistance evaluation distortion caused by neglecting crop physiological recovery hysteresis in the prior art. Collecting soil water content data in real time through an Internet of Things sensor, and extracting a soil water content change rate when a preset threshold value is reached; secondly, constructing a space-time gradient matrix based on different soil layer water deficit rates, and generating a stress cumulative intensity index through principal component analysis and information entropy fusion; then analyzing a coupling relationship between the soil moisture change rate and the stress accumulation effect in the historical stress event on physiological recovery delay to generate a recovery delay coefficient; the physiological state lag degree is evaluated by combining the stomatal conductance change rate ratio of the stress period and the recovery period and the recovery delay coefficient; and finally, dynamically prolonging the irrigation execution time according to the lag degree until the irrigation execution time is lower than a set tolerance value, thereby remarkably improving the reliability of crop stress resistance test data.
Owner:广西农业职业技术大学 +1

Daily-scale corn water stress diagnosis method based on unmanned aerial vehicle technology

The invention discloses a daily-scale corn water stress diagnosis method based on an unmanned aerial vehicle technology, and relates to the technical field of agriculture, the method is based on the definition of a water stress coefficient, introduces a Jarvis stomatal conductance model, combines canopy and plant height data obtained by an unmanned aerial vehicle, accurately estimates the aerodynamic impedance and the canopy impedance of a canopy, and improves the accuracy of the canopy stress. The actual evapotranspiration and the potential evapotranspiration are obtained through a multispectral leaf area index inversion model, then a daily scale moisture stress index is calculated, a plurality of groups of unmanned aerial vehicle thermal images are obtained according to four important growth periods of corn, and the moisture stress index is calculated and counted. And comparing the characterization capabilities of the daily scale moisture stress index and the moisture stress index in different time periods in one day on the actually measured moisture index, so as to improve the problems that the instantaneous moisture stress coefficient is insufficient in time representativeness and is easily influenced by the environment, and more accurately characterize the crop moisture stress. A monitoring effect close to a daily-scale moisture stress index is obtained by a easier method, and the practicability of the index is improved.
Owner:INNER MONGOLIA AGRICULTURAL UNIVERSITY

Carbon-water flux simulation method and system based on vegetation hydraulic transmission

ActiveCN119227588AStrengthen the coupling relationshipData processing applicationsDesign optimisation/simulationBiosphereVegetation
The invention relates to a carbon-water flux simulation method and system based on vegetation hydraulic transmission. The method comprises the following steps: constructing a biosphere-atmosphere exchange process simulator model coupled with a vegetation hydraulic module, acquiring model driving data and model parameters, and respectively calculating photosynthesis, stomatal conductance, vegetation transpiration and soil evaporation of vegetation; calculating the water absorption rate of the vegetation based on the model driving data and the model parameters; respectively calculating soil moisture of each preset layer number based on the water absorption rate and the model parameters; and iterating corresponding process variables of the model by updating the vegetation water stress factor within a preset time until the number of iterations reaches a preset critical number, and outputting a carbon-water flux simulation result. By adopting the method, the flowing of water among the soil-vegetation-atmosphere continuum is considered, so that the method is more mechanical, and the water-carbon coupling relationship in the model is enhanced; the stomatal conductance is adjusted by using a vegetation water stress factor, so that the simulation precision of the model during drought is superior to that of an original model.
Owner:NANJING UNIV

Intelligent agricultural water-saving irrigation system and control method

The invention discloses an intelligent agricultural water-saving irrigation system and a control method, and relates to the technical field of agricultural irrigation. Comprising the following steps: a land area planning module performs equal-area division on a farmland, sets a detection node array, and monitors water retention conditions of different soil depths; the moisture gradient characterization module calculates the vertical moisture gradient and the direction of the vertical moisture gradient of the evaluation area in real time through edge calculation. And the irrigation water amount correction module fuses and generates a target water-holding capacity based on the leaf stomatal conductance signal and the moisture gradient. The irrigation circulation termination control module uses pulse type infiltrating irrigation, and sets double termination conditions of the water-holding capacity change rate and the permeability. The closed-loop feedback adjustment module detects the soil water content after irrigation, characterizes the water leakage risk and feeds back and adjusts the irrigation water amount, closed-loop control is formed, and effective utilization of water resources is ensured.
Owner:SUIHUA UNIV

Smart farm environment regulation and control method and system based on big data analysis

The invention relates to the technical field of agricultural management, in particular to a smart farm environment regulation and control method and system based on big data analysis, and the method comprises the following steps: obtaining an instantaneous temperature value of the upper surface of a leaf and an instantaneous temperature value of the lower surface of the leaf through an infrared temperature sensor, obtaining an instantaneous value of stomatal conductance through a stomatal conductance sensor; and acquiring a water vapor pressure difference value of the air cavity through a water vapor pressure sensor, aligning a time sequence by adopting a multi-source data fusion algorithm, eliminating noise, and generating a dynamic physiological data set. According to the method, the leaf temperature difference, the air hole conductance and the air cavity water vapor pressure difference are collected, a real-time dynamic data set is constructed, a temperature difference amplification signal is extracted, transpiration enhancement triggering, wind speed increasing, water mist particle size decreasing and wind speed and particle size linkage regulation and control are analyzed in combination with the trend, a regulation and control weight is constructed by introducing multiple regression analysis, and the wind speed and the particle size are dynamically regulated according to the weight. A leaf temperature difference regression base line is guaranteed, the regulation and control accuracy and physiological adaptability are improved, and the environment self-adaptive regulation capability is enhanced.
Owner:ANHUI SCI & TECH UNIV +1

Method for estimating water-carbon flux of terrestrial ecosystem by considering water balance constraint

ActiveCN120579351ADesign optimisation/simulationConstraint-based CADObservation dataGross primary productivity
The invention relates to the technical field of ecology and hydrology, in particular to a terrestrial ecosystem water carbon flux estimation method considering water balance constraint, which comprises the following steps: estimating leaf scale photosynthetic rate and stomatal conductance by utilizing a photosynthesis model; the leaf scale photosynthetic rate and the stomatal conductance are upscaled into canopy vegetation total primary productivity and canopy conductance to construct an evapotranspiration model to estimate evapotranspiration data; constructing a water balance model according to the evapotranspiration data so as to estimate the available water amount of the soil; constructing a soil moisture stress function according to the available water amount of the soil so as to constrain the estimation process of the photosynthesis model and the evapotranspiration model; and acquiring historical water-carbon flux data and historical remote sensing observation data of a long sequence daily scale, and calibrating the model to obtain a water-balance-constraint-considered water-carbon flux estimation model of the terrestrial ecosystem capable of estimating the water-carbon flux data. Therefore, the problems that an existing water carbon flux prediction frame is difficult to adapt to climate changes, low in prediction accuracy and the like are solved.
Owner:WUHAN UNIV

Method for predicting irrigation amount of crops in drought and saline-alkali soil area and related equipment

The invention discloses a method for predicting the irrigation amount of crops in an arid saline-alkali soil area and related equipment. The method comprises the steps that the potential evapotranspiration of a target crop is calculated through a double-source evapotranspiration mechanism model based on key meteorological parameters, obtained through prediction, of a target area, and the leaf area index and the plant height are dynamically updated according to the accumulated temperature process; respectively constructing different stress inhibition functions aiming at the attention salt ions and the pH value in the saline-alkali soil solution, and applying composite inhibition at the stomatal conductance and / or the apparent evapotranspiration resistance site to correct the potential evapotranspiration so as to obtain the ideal crop evapotranspiration corrected by the salinity and the pH value; and based on the corrected ideal crop evapotranspiration, predicting day-by-day irrigation amount and water distribution schedule suggestions in a future preset period. The method can solve the problem that current crop irrigation of saline-alkali soil in an arid inland region depends on experience, influences on different salt types and contents are caused, and quantitative analysis is lacked.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS

Real-time monitoring system and method for photosynthetic carbon sequestration data

The invention relates to the technical field of photosynthetic carbon sequestration, in particular to a photosynthetic carbon sequestration data real-time monitoring system and method, and the system comprises an evapotranspiration gradient recognition module, a photosynthetic rate change capture module, a non-cooperative state judgment module, a carbon sequestration fluctuation trajectory extraction module and a monitoring stability output module. According to the method, the response time point of the evapotranspiration process to the illumination change is dynamically positioned by obtaining parameters such as stomatal conductance, leaf surface temperature, saturation vapor pressure difference and transpiration rate of a leaf layer, the time point of sudden change of the physiological activity is marked, and the change of the transpiration rate and the change of the net photosynthetic rate are compared according to the difference range between the change of the net photosynthetic rate and the change of the transpiration rate. According to the method, the non-collaborative evapotranspiration function state can be judged, the possible response imbalance situation between leaf photosynthesis and moisture adjustment can be effectively recognized, the recognition capacity for the dysfunction time period is enhanced, the time window with low output stability is screened, and the dynamic adaptability and abnormal response judgment capacity of carbon sequestration monitoring data are enhanced.
Owner:ZHEJIANG INSTITUTE OF QUALITY SCIENCES

Wheat stripe rust multi-scale detection system and method based on unmanned aerial vehicle multi-spectral image

The invention relates to the technical field of intelligent agricultural remote sensing monitoring, in particular to a wheat stripe rust multi-scale detection system and method based on unmanned aerial vehicle multi-spectral images. Comprising an attitude compensation image registration module, a sheath and leaf boundary enhancement module, a stripe rust incubation period stripe extraction module, a canopy stomatal density inversion and mapping module and a three-dimensional space infection simulation module. Wherein the attitude compensation image registration module is used for eliminating flight attitude interference; the leaf sheath and leaf junction enhancing module is used for enhancing the structural boundary characteristics of a leaf sheath and leaf junction area; the stripe rust incubation period stripe extraction module is used for extracting disease incubation period stripe features; and the canopy stomatal density inversion and mapping module is used for inverting canopy stomatal conductance parameters. According to the method, by fusing multispectral image feature extraction, thermal infrared stomatal conductance inversion and three-dimensional space propagation modeling, multi-scale accurate detection and visual expression of the wheat stripe rust from incubation period identification to a spatial diffusion process are realized.
Owner:伊犁哈萨克自治州农业技术推广总站

Facility vegetable cultivation environment intelligent regulation and control system based on Internet of Things and multi-objective optimization algorithm

The invention relates to the technical field of intelligent agriculture and agricultural engineering, and particularly provides a facility vegetable cultivation environment intelligent regulation and control system based on the Internet of Things and a multi-objective optimization algorithm. The system comprises a blade microenvironment dynamic sensing subsystem which outputs and generates a blade boundary layer diffusion resistance-wind speed-temperature gradient real-time data set with space coordinates, namely a microenvironment state map; the stomatal conductance collaborative optimization subsystem outputs and generates an optimal airflow parameter combination packet which comprises a target wind speed vector, a temperature gradient threshold value and an expected stomatal conductance gain; and the bionic fluid tissue execution subsystem converts the optimal airflow parameter combination packet into a non-uniform airflow field, and microenvironment reconstruction is realized through a dynamic tuyere array. According to the method, the spanning of the facility environment regulation and control scale from the traditional greenhouse macroscale to the leaf micron scale is realized, the environment regulation and control precision is improved by 2-3 orders of magnitude, and a novel environment control normal form with both the disease prevention effect and the yield increasing potential is provided for facility vegetable production.
Owner:ANHUI TIANQIN AGRI TECH CO LTD

Method and device for predicting evapotranspiration of ecological system based on stomatal conductance model

The invention relates to a method and device for predicting evapotranspiration of an ecological system based on a stomatal conductance model. The device comprises a data processing host, a remote sensing data acquisition assembly and a ground data acquisition assembly, and the ground data acquisition assembly is used for acquiring meteorological data and soil humidity of vegetation canopies in a mountainous area. According to the device, remote sensing images are acquired through the remote sensing data acquisition assembly, the multiple ground data acquisition assemblies are arranged to perform multi-point acquisition on vegetation in a mountainous area, regions are divided according to meteorological differences to perform meteorological data acquisition, and the meteorological data can be acquired in a multi-point manner through the unmanned aerial vehicle balloon throwing assembly and the falling assembly; the falling and fixing assembly not only can provide falling and fixing of the meteorological balloon, but also is provided with the percussion type soil sensor for collecting soil humidity information, and the ground data collection assembly reduces the throwing difficulty, can realize multi-point throwing, and improves the prediction precision.
Owner:NANJING INST OF ENVIRONMENTAL SCI MINIST OF ECOLOGY & ENVIRONMENT OF THE PEOPLES REPUBLIC OF CHINA

High-precision phenotype analysis system for plant growth stress response

The invention discloses a high-precision phenotype analysis system for plant growth stress response, and relates to the field of agriculture. Comprising a central analysis platform, and the central analysis platform comprises a calculation engine, a stress diagnosis model and a visual interface; the edge calculation stage comprises a data preprocessing module, a feature extraction module and a time sequence compression module; and the sensor array comprises a main control unit, a hyperspectral camera, a thermal infrared camera, a 3DDoF camera and an environment sensor group. Based on a space-time registration mechanism of transfer learning, errors are reduced, the problem of stomatal conductance modeling distortion caused by time difference is solved, a dynamic weight fusion model adjusts feature weights in real time through sensor confidence and environment fitness, illumination abrupt change and temperature and humidity fluctuation interference are eliminated, and the accuracy of stomatal conductance modeling is improved. Compared with a traditional fixed weight model, the stress identification precision is improved.
Owner:INST OF SOIL SCI CHINESE ACAD OF SCI

Pezicula ericae XA4 and application thereof

The invention relates to the technical field of microorganisms, in particular to a strain (Pezicula ericae) XA4 and application of the strain (Pezicula ericae) XA4. The invention provides a strain (Pezicula ericae) XA4 which is preserved in the general microbiological center of the China Committee for Culture Collection of Microorganisms on June 26, 2024, and the preservation number is CGMCC (China General Microbiological Culture Collection Center) No.41350. The invention also provides a method for preparing the strain (Pezicula ericae) XA4. The XA4 provided by the invention is used for carrying out tie-back on sterile cultured rhododendron dauricum seedlings, and trypan blue dyeing detection shows that mycorrhizal fungi can be successfully subjected to tie-back. Compared with the non-inoculated strain, the inoculated XA4 has the most obvious growth promoting effect on the rhododendron dauricum. The plant height, the leaf length, the leaf width, the root length, the biomass, the chlorophyll content, the net photosynthetic rate, the stomatal conductance, the intercellular CO2 concentration, the transpiration rate and the root activity of the strain are all improved compared with those of the strain without inoculation.
Owner:NORTHEAST AGRICULTURAL UNIVERSITY

Municipal garden soil humidity intelligent regulation and control method

The invention provides a municipal garden soil humidity intelligent regulation and control method which comprises the following steps: acquiring environmental characteristics of a target area, and constructing a plant collaborative water demand model according to the acquired environmental characteristics of the target area; continuously monitoring environmental characteristics of the target area, and inputting the environmental characteristics into the plant collaborative water demand model to obtain water demand data of the target area; the method comprises the following steps: collecting water demand data of a target area, constructing a plant irrigation water model according to the collected water demand data of plants in the target area so as to output the water consumption of the plants in the target area in a growth stage, and collecting multi-dimensional water demand data such as plant transpiration rate, stomatal conductance and in-vivo moisture content so as to obtain the water consumption of the plants in the target area. The model is built by combining the environmental parameters and the growth stage information, the specific water consumption of the plant in the current growth stage can be accurately output, the irrigation accuracy is greatly improved, and the negative influence on plant growth caused by insufficient or excessive irrigation is avoided.
Owner:ZHEJIANG LINGNAN ENVIRONMENTAL CONSTRUCTION CO LTD

Application of arbuscular mycorrhizal fungi in improving heavy metal stress resistance of poplar

The invention belongs to the field of forestry, and particularly relates to application of arbuscular mycorrhizal fungi to improvement of heavy metal stress resistance of poplars, growth performance of the poplars is remarkably improved by inoculating the arbuscular mycorrhizal fungi, and net photosynthetic rate, stomatal conductance, transpiration rate, maximum photochemical quantum efficiency and effective photochemical efficiency of a photosystem II are remarkably improved. Under the condition of lead stress, the lead content in the leaves, stems and root systems of the poplar inoculated with the arbuscular mycorrhizal fungi is obviously reduced, which indicates that lead is mainly isolated in the root systems, and the transfer of lead to the overground part is reduced. In addition, the arbuscular mycorrhizal fungi relieve oxidative damage by improving the activity of antioxidant enzymes such as superoxide dismutase, catalase and peroxidase.
Owner:HARBIN UNIV

Preparation method of detoxified sweet potato seedlings

ActiveCN119302195Aincrease net photosynthetic ratepromote growthGrowth substratesCulture mediaSeedlingMeristem
The invention provides a preparation method of detoxified sweet potato seedlings, which comprises the following cultivation steps: cleaning sweet potatoes, putting the sweet potatoes in a degerming solution for accelerating germination, disinfecting new stem tips, and putting the stem tips in a culture medium I for culture to obtain sweet potato stem tips; when 4-5 leaves grow on the stem tips of the sweet potatoes, stem tip meristem tissue is inoculated into a culture medium II and cultured into 8-9 stem segments, and sweet potato seedlings are obtained; sweet potato seedlings are transplanted to a seedling raising plate containing a nutrient medium and cultured for 30-35 days in an artificial climate chamber, and the seedlings are transplanted to soil for breeding. According to the preparation method of the detoxified sweet potato seedlings, the growth condition of the sweet potato seedlings is remarkably improved, the plant height, the root system number and the root system length of the sweet potato seedlings are increased, the net photosynthetic rate (Pn) and the stomatal conductance (Gs) of the detoxified sweet potato seedlings are remarkably improved, and healthy growth of sweet potatoes in the seedling stage is facilitated.
Owner:CHANGJIANG GUANGLING AGRI TECH CO LTD

Fertilizing method and system for improving CO2 absorption efficiency of greenhouse plants based on SPAC system

The invention discloses a fertilization method and system for improving CO2 absorption efficiency of greenhouse plants based on an SPAC system. The method comprises the following steps: acquiring moisture information and environment information of the greenhouse plants through a biological environment information acquisition module deployed in a greenhouse; according to the obtained moisture information and environment information, the current leaf water potential and the saturation vapor pressure difference are calculated; calculating the stomatal conductance of the plant by combining the soil water potential and the atmospheric pressure according to the calculated current leaf water potential and saturation vapor pressure difference; and regulating and controlling water and CO2 fertilization of the greenhouse plants according to the stomatal conductance of the plants. By means of the method, under the condition that the evaporation intensity is too high, plant water stress can be weakened, stomatal opening is promoted, stomatal conductivity and mesophyll conductivity are improved, CO2 absorption and utilization are promoted, the photosynthesis efficiency of greenhouse fruits and vegetables can be effectively improved, and plant growth and yield formation are promoted.
Owner:SHANDONG AGRICULTURAL UNIVERSITY

Corn leaf stomatal measurement method based on anchor-free frame target detection and stomatal conductance calculation

This invention discloses a method for measuring stomatal conductance in maize leaves based on anchor-free target detection and stomatal conductance calculation, comprising the following steps: acquiring stomatal images of maize leaves; preprocessing, data augmentation, and stomatal labeling of the maize leaf stomatal images; constructing an optimal stomatal conductance model; constructing a deep learning model for stomatal identification and measurement, and training and testing the deep learning model. This invention improves upon the CenterNet target detection model, using DLA34 as the backbone network, replacing upsampled 2D convolution with deformable convolution, introducing an attention mechanism, and adding an angle prediction branch to automatically identify and measure stomata with tilt angles in maize leaf microscopic images. Simultaneously, a stomatal conductance loss function is introduced, and the optimal stomatal conductance model is used to automatically measure the stomatal conductance of maize leaves.
Owner:HENAN UNIVERSITY

A water-soluble red light carbon dot and its preparation method and application

A water-soluble red-light carbon dot and its preparation method and application, the method comprising the following steps: adding dicyandiamide and o-phenylenediamine to deionized water containing sulfuric acid and stirring for 20-30 minutes to form a suspension; placing the suspension in an autoclave and heating the reaction at 100-200°C for 6-12 hours to form a dark blue carbon dot solution; after cooling the dark blue carbon dot solution to room temperature, filtering it with a water-based microporous membrane and dialysis bag, respectively, to remove impurities and obtain pure water-soluble red-light carbon dots. This method has the advantages of simple process, easy operation, low cost, and no pollution, and can be used for industrial production; the prepared water-soluble red-light carbon dots are small in size, have good monodispersity, a graphene-like structure, and water solubility, and can significantly improve the absorption and transport of potassium and sodium ions by the roots of field crops under drought stress and salt stress, thereby increasing the photosynthetic rate and stomatal conductance of the crops and alleviating drought and salt stress in field crops.
Owner:XUZHOU NORMAL UNIVERSITY

Intelligent illumination control system for greenhouse plant growth

The invention relates to the technical field of facility agriculture and environment control, and discloses an intelligent illumination control system for greenhouse plant growth. In order to solve the problems that an existing light supplementing strategy lacks physiological feedback, light damage is easily caused, and shutdown is caused by sensor faults, the system comprises a multi-mode sensing assembly, a central processing unit and a dynamic spectrum execution assembly. The system collects crop non-photochemical quenching coefficients (NPQ) and environmental factors in real time, and dynamically calculates light saturation points by using a multi-factor coupling model; when the NPQ exceeds a threshold value, the spectrum ratio is automatically adjusted to inhibit light stress; three-dimensional canopy scanning is combined to realize gridding differentiation light supplement; when the sensor fails, virtual parameters are reconstructed based on the temperature trend to maintain fault-tolerant operation; in addition, the system estimates stomatal conductance according to air humidity and matrix conductivity, and dynamically corrects target light intensity to avoid aggravation of water deficit; accurate light supply according to needs is achieved, the photosynthetic efficiency and the system reliability are remarkably improved, and the system is suitable for plant factories and multi-span greenhouses.
Owner:SOUTH CHINA AGRICULTURAL UNIVERSITY

Pugionium cornutatum PdMYB44 gene and application thereof

The invention belongs to the technical field of gene engineering, and particularly relates to a cornutgiella axataenae PdMYB44 gene and application thereof. The invention provides a cornutgiella dotacea PdMYB44 gene, wherein the CDS (Coding Sequence) of the PdMYB44 gene is as shown in SEQ ID NO. 1. The PdMYB44 gene disclosed by the invention is derived from the cornutgiium axataenense, so that the drought resistance of a transgenic plant can be improved, the flowering time is shortened, and the PdMYB44 gene can be applied to plant stress resistance genetic improvement. Results of embodiments show that according to a transgenic plant over-expressing the PdMYB44 gene, the proline content is increased, the malondialdehyde content is reduced, the transpiration rate and stomatal conductance are remarkably reduced, and the drought resistance of the transgenic plant is jointly improved by synergistically regulating three key mechanisms, namely accumulation of permeation protection substances, inhibition of membrane damage and optimization of stomatal behaviors.
Owner:INNER MONGOLIA AGRICULTURAL UNIVERSITY

A construction method for a hierarchical upscaling model of summer maize

The invention discloses a construction method of a summer maize hierarchical upscaling model, which relates to the technical field of agriculture. The method includes collecting key data for model construction; determining the growth period of research, screening typical days, and stratifying the summer maize canopy; fitting a stomatal conductance model according to the collected observation results; evaluating the fitted stomatal conductance models of different layers, and screening the optimal stomatal conductance model for each layer; performing upscaling integration on the optimal stomatal conductance models of each layer according to the stratified LAI, and accumulating layer by layer, and finally obtaining the summer maize hierarchical upscaling model. The invention has rich sample data, improves the reliability of the estimation model, reflects the differences in stomatal conductance among leaves of different canopies, and the obtained conclusions have important significance for regional research.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES

Calculation method, system and device for simulating crop yield loss risk based on stomatal ozone absorption flux

The invention provides a calculation method, system and device for simulating crop yield loss risk based on stomatal ozone absorption flux. The calculation method for simulating the crop yield loss risk based on the stomatal ozone absorption flux comprises the following steps: S1, obtaining test data related to stomatal conductance and yield in a rice growth season; s2, parameterizing a rice stomatal conductance model, and calculating rice stomatal conductance per hour by utilizing hour meteorological data; and S3, calculating the absorption flux of the crop pores to O3 under different threshold values. According to the calculation method, system and device for simulating the crop yield loss risk based on the stomatal ozone absorption flux provided by the invention, the risk that the influence of O3 on the crop yield cannot be accurately quantified in the prior art can be solved, and the influence of environmental factors on stomatal conductance and the difference of O3 damage threshold values of different crops are brought into crop yield risk quantification; quantitative accuracy can be improved, and method support is provided for accurately predicting crop yield loss caused by O3 and guaranteeing grain safety.
Owner:NANJING UNIV OF INFORMATION SCI & TECH

A system and method for inverting vegetation stomatal conductance using remote sensing data

The present invention relates to a system and method for inverting the stomatal conductance of vegetation using remote sensing data, comprising a remote sensing data acquisition module, an inversion processing module, and a meteorological acquisition module distributed in each region, wherein the remote sensing data acquisition module is used to collect remote sensing inversion data of each region, the meteorological acquisition module is used to obtain the saturated water vapor pressure difference of the region, and the inversion processing module is used to obtain the regional stomatal conductance according to the remote sensing inversion data and the saturated water vapor pressure difference, and the regional stomatal conductance is summarized to obtain the total stomatal conductance. The system divides the mountainous area into several regions, collects parameters for each region respectively, and inverts the stomatal conductance for each region based on the collected data, so that the obtained data is more accurate, and the collection component is fixed above the canopy layer by setting a weather balloon and a winding rope fixing method, and can be dropped by a drone, which is easy to operate, so that the inversion method can be applied to mountain vegetation, which is beneficial to vegetation ecology research.
Owner:NANJING INST OF ENVIRONMENTAL SCI MINIST OF ECOLOGY & ENVIRONMENT OF THE PEOPLES REPUBLIC OF CHINA

Greenhouse crop disease and pest comprehensive monitoring method and management system based on big data

The invention relates to the technical field of data analysis and monitoring, in particular to a greenhouse crop disease and pest comprehensive monitoring method and management system based on big data, and the method specifically comprises the steps: modeling a digital twinborn model of a greenhouse, and measuring to obtain a stomatal conductance coefficient and a fluorescence parameter of crops; calculating to obtain a first leaf health threat value and a second leaf health threat value, and comprehensively judging the pest influence degree of the pest monitoring area according to the second leaf health threat value; and the first leaf health threat value and the second leaf health threat value of each pest monitoring area in the greenhouse are visualized to the greenhouse digital twinborn model, so that the problems that greenhouse crop pest monitoring is not accurate enough, the real-time performance is insufficient and the information integration is not comprehensive in the prior art are solved.
Owner:JILIN AGRI SCI & TECH COLLEGE

Method for improving survival rate of forsythia tender branch cutting seedling

This invention belongs to the field of plant seedling technology, specifically relating to a method for improving the survival rate of Forsythia suspensa cuttings. Specifically, fruiting mother trees are selected, and semi-lignified branches of the current year are collected as cuttings, retaining plump buds. The cuttings are soaked in a rooting agent compound solution and then dried for later use. The treated cuttings are then inserted into a gradient substrate and thoroughly watered after planting. The stomatal conductance of the cutting leaves and the electrical conductivity at the base of the cuttings are monitored in real time. The substrate temperature, spraying frequency, shading rate, and ventilation are adaptively adjusted in a closed-loop manner according to the physiological thresholds of different rooting stages of Forsythia suspensa cuttings. Stress-resistant fertilizer is applied according to the physiological state of the cuttings, and disease control and daily management are carried out. This method improves the survival rate of Forsythia suspensa cuttings, reduces the rate of cutting rot, exhibits strong environmental adaptability, and high seedling stability.
Owner:LONGNAN HONGFENG AGRICULTURAL SCIENCE & TECHNOLOGY CO LTD

Data-driven actual evapotranspiration estimation method fusing vegetation biophysical characteristics

The invention discloses a data-driven actual evapotranspiration estimation method fusing vegetation biophysical characteristics, which comprises the following steps: firstly, collecting actually measured meteorological and remote sensing data of a flux tower station, and carrying out quality control and energy balance correction to obtain an actual evapotranspiration reference value; then, a PMLV2 model is constructed station by station based on the processed data, and vegetation biophysical characteristic variables such as stomatal conductance are obtained through simulation; summarizing the features with meteorological and remote sensing data to form an input factor set, and summarizing training sets and test sets of all stations according to vegetation types; and finally, taking the factor set as input, constructing an LSTM actual evapotranspiration estimation model by using the training set, and evaluating the precision of the model through the test set. According to the method, vegetation biophysical characteristic variables simulated by the PMLV2 model are fused, so that the adaptability and generalization ability of the data driving model when environmental conditions change are enhanced, and the problems of overfitting and performance reduction when samples are scarce or representativeness is insufficient in a traditional data driving method are effectively relieved.
Owner:NANJING HYDRAULIC RES INST

Dense and reverse-resistant planting breeding strategy optimization system and corn breeding method

PendingCN122337338AHigh densityPollination
This invention relates to the field of planting and breeding technology, specifically to an optimization system for planting and breeding strategies that promotes high density and stress tolerance, and a method for maize breeding. In this invention, by running a support vector machine to compare proline concentrations and eliminate low-value entries, the limitations of traditional empirical breeding sample quantity are overcome, enabling precise solution of the targeted gene array for extreme stress resistance potential. By calling the array node coordinates and merging preset ear height and leaf angle parameters into the state tensor, a graph attention network is introduced to calculate the attention weight coefficients between multiple dimensional parameters, completing precise modeling of spatial mutual occlusion and competition constraints among multiple plant individuals under extreme ecological niches, maintaining the peak photosynthetic yield of the population at full environmental density. By analyzing the stomatal conductance sequence within the array to extract the inverse gradient multiplied by the negative penalty coefficient, the shared stress-resistance biological abstraction characteristics across ecological niches are extracted, enhancing the robustness of phenotypic prediction under extreme habitats, and transforming biological pollination risk into a strict mathematical convergence constraint.
Owner:HUBEI UNIV +1

Application of PdAKR2A gene in improving photosynthetic rate and biomass of poplar

The present invention discloses the application of the PdAKR2A gene in improving the photosynthetic rate and biomass of poplar, belonging to the technical field of poplar genetic engineering breeding. The present invention for the first time discloses that overexpression of the PdAKR2A gene can significantly increase the number of cambium cell layers and the width of xylem in poplar, thereby increasing the plant height and ground diameter of poplar, and thus improving the growth rate and biological yield of poplar; it can significantly increase the net photosynthetic rate, stomatal conductance, transpiration rate and chlorophyll content of poplar; it can significantly increase the lignin and cellulose contents of poplar; the provided PdAKR2A gene can be used as a candidate gene for cultivating new poplar varieties with faster growth rate and better quality, which is of great significance for promoting the sustainable development of forestry in China and alleviating the supply-demand tension in the wood market.
Owner:QINGDAO AGRI UNIV

A grid scale crop yield prediction method based on air quality mechanism

This invention discloses a grid-scale crop yield prediction method based on air quality mechanisms, belonging to the field of agricultural remote sensing technology. The method includes the following steps: S1, dividing the study area into grids and collecting basic data, then preprocessing the basic data sequentially; S2, constructing a physiological regulation function based on the preprocessed basic data and determining stomatal conductance; S3, determining air quality mechanism indicators and pollutant mechanism indicators based on stomatal conductance; S4, determining the predicted crop yield based on the air quality mechanism indicators and pollutant mechanism indicators, and outputting the baseline yield, total loss, relative loss rate, pollutant contribution rate, and spatially aggregated total yield. The final prediction target variable of this invention is yield, suitable for large-scale yield estimation at the grid scale; it can be used for grid-scale crop yield estimation, air pollution-induced damage assessment, and risk analysis.
Owner:NORTHEAST AGRICULTURAL UNIVERSITY