100 results about "Water-use efficiency" patented technology

The invention relates to the technical field of drainage basin water scheduling, and discloses a drainage basin water regulation and control optimization method based on ecological element changes. The method comprises the following steps: deploying a drainage basin monitoring system, and collecting ecological element real-time data such as a hydrological parameter sequence and a remote sensing image; after the data is cleaned and converted, hydrological trend features and spatial distribution features are extracted by adopting a feature learning model, and the hydrological trend features and the spatial distribution features are fused into unified ecological representation through a cross-modal alignment mechanism; inputting the unified ecological representation into a physically constrained neural network prediction model, and outputting a water regimen dynamic prediction value; and finally, based on the predicted value, a water resource regulation and control instruction is generated and executed by using a multi-objective decision algorithm so as to optimize the watershed water circulation process. According to the method, feature extraction comprehensiveness is improved through multi-source data fusion and cross-modal analysis, prediction reliability is enhanced in combination with physical constraints, reasonable allocation of water resources is achieved by means of multi-target decision, the ecological condition of a drainage basin can be improved, and the water utilization efficiency is improved.

The invention discloses a high-salinity desert region pioneer vegetation rapid planting method based on salinity gradient regulation and control, and relates to the technical field of vegetation planting. The method can effectively regulate and control gradient distribution of salinity in the high-salinity desert region, reduce salt stress of a root zone, improve the seed germination rate and the seedling survival rate of pioneer vegetation, effectively inhibit surface salinity accumulation and optimize moisture distribution, thereby promoting rapid field planting and healthy growth of vegetation; by constructing a stable salinity gradient and moisture regulation and control system, through a micro-irrigation system and a mixed matrix layer, the moisture utilization efficiency is optimized, the fresh water consumption is reduced, the vegetation coverage is improved, the soil erosion risk can be reduced, the stress resistance of an ecological system is enhanced, and the vegetation coverage is rapidly improved in a short time; finally, the desert region is promoted to succession towards a multi-layer and stable arbor-shrub-grass community structure, the soil fertility and the microclimate environment are improved, the stability and the wind erosion resistance of an ecological system are enhanced, and reliable technical support is provided for sustainable ecological restoration.

The invention discloses an intelligent irrigation dynamic regulation and control method and system based on multi-source data. The method comprises the steps that the daily total water demand volume is calculated; acquiring the volume moisture content of the soil of the surface layer and the main root system layer in real time through an array sensor, and calculating the real-time infiltration gradient between the surface layer and the main root system layer; and executing a pulse irrigation process formed by alternation of irrigation pulses and infiltration waiting pulses, stopping water supply when the volumetric water content of the surface layer reaches a first preset threshold value, starting next water supply when the real-time infiltration gradient is lower than a second preset threshold value, and stopping water supply until the accumulated irrigation amount reaches the daily total required water volume or deep layer leakage is monitored. The system is used for executing the method. According to the method, the soil internal infiltration gradient serves as the physical basis of pulse start and stop, efficient conveying of water to deep soil is achieved, the contradiction that surface runoff and deep root system water shortage coexist is solved, and the water utilization rate is increased.

The invention discloses a dry land wheat green high-yield cultivation optimization method and system, and relates to the technical field of agricultural cultivation. The method comprises the following steps: firstly, obtaining typical rainfall characteristic data and soil characteristic data of a target planting area, constructing a micro-furrow simulation model, and carrying out optimization solution by taking predicted water catchment maximization as a target to obtain optimal micro-furrow parameters. And calculating a confidence wetting depth by combining rainfall characteristic data and an optimization result, and determining furrow sowing parameters according to the optimization result and wheat water demand characteristics. Finally, cultivation operation is executed based on the micro-furrow parameters, the furrow sowing parameters and the confidence wetting depth, wherein the fertilizer application depth is determined based on the confidence wetting depth. Precise matching of a micro-furrow structure, crop layout and water and fertilizer management is achieved, the problems that in traditional cultivation, the water utilization efficiency is low, and water and fertilizer space matching is poor are solved, and the rainfall utilization efficiency and the yield level of dry land wheat are improved.

The invention belongs to the technical field of agricultural intelligent control and irrigation management, particularly relates to a self-adaptive irrigation decision-making system oriented to crop water demand response, and aims to solve the problems that a traditional irrigation system is lagged in response, extensive in water distribution and difficult to match actual physiological water demand of crops. The system collects crop physiological and environmental parameters through a multi-source sensor, inverts a water stress index in real time in combination with an edge computing node, dynamically calls a basic water demand curve based on a crop growth stage, and generates an instantaneous water demand deviation. A double-level decision-making mechanism is adopted, wherein the first layer triggers emergency irrigation according to a dynamic warning threshold value; and the second layer realizes irrigation plan feed-forward adjustment through trend analysis. The system also integrates a closed-loop feedback verification and federated learning optimization mechanism, and continuously improves the decision precision. By fusing physiological feedback and self-adaptive modeling, the conversion from watering on day to water supply on demand is realized, the water utilization efficiency is remarkably improved, and the stress risk is reduced.

This application discloses a greenhouse water control method and system based on the root zone-plant-atmosphere system. The method includes: acquiring soil water potential, plant water potential, air temperature, and relative humidity information in real time through an information acquisition module; calculating atmospheric water potential based on the acquired air temperature and relative humidity; calculating transpiration pull and water supply power based on the atmospheric water potential, plant water potential, and soil water potential; determining the stomatal aperture of the greenhouse plant based on the ratio of transpiration pull to water supply power; and issuing control commands based on the stomatal aperture and the ratio of transpiration pull to water supply power to achieve water control of the greenhouse plant. The method adopted in this application is simple and efficient. By comprehensively controlling water based on the relative relationship between water supply power and transpiration pull, it can maintain the water supply and demand balance of the root zone-plant-atmosphere system, effectively reduce evaporation and conserve energy, and improve crop photosynthetic capacity, yield, and water use efficiency.

The invention of intelligent subsurface injection irrigation system is a type of integrated injection irrigation system that intelligently irrigates plants and uses available water resources with maximum economy and highest possible efficiency. The present invention includes an inverted conical tank and a water supply system equipped with a floater, a digital moisture meter sensor equipped with a transmitter as well as a humidity sensor information transmission system and also a sensor and thermostatic valve system for connecting and disconnecting the water, a water transfer pump from the main water storage pool to the water transfer network, a control room and a liquid fertilizer injection system in the transfer network as well as a bypass equipped with a valve in the water transfer network and a water storage pool and aquaculture. Also this invention relates to subsurface irrigation methods and systems for detection of humidity and temperature for correct watering.

The invention relates to the technical field of tree physiological monitoring and precision agriculture, in particular to a whole tree moisture utilization efficiency continuous monitoring system based on multi-type sensor integration, and adopts the technical scheme that a multi-sensor cooperative monitoring system and a multi-time-sequence data fusion algorithm are included, the multi-sensor cooperative monitoring system comprises a liquid flow monitoring unit, a trunk radial growth monitoring unit and an environment monitoring unit. A multi-time-sequence data fusion algorithm comprises time scale matching and a dynamic WUE model. By integrating various types of sensors such as trunk liquid flow, radial growth and temperature and humidity, 24-hour continuous monitoring of multi-source physiological and ecological data can be realized, and long-term operation can be realized after single-time equipment installation; according to the method, the monitoring efficiency can be remarkably improved, the manpower and material resource cost can be greatly reduced, in addition, the long-term stable data obtained through the method can reflect the dynamic law of the tree WUE, and convenient conditions are created for accurately analyzing the response of the tree WUE to the environment change.

The application belongs to the field of plant biotechnology, and relates to application of a bHLH type transcription factor MYC2 in regulation of plant stomatal density and a method for obtaining a plant with reduced stomatal density by overexpression. The transcription factor MYC2 can activate the activity of plant stomatal density inhibitor EPF2 and EPFL4 promoters and inhibit the activity of plant stomatal density promoter EPFL9 in the process of stomatal formation, and regulate plant stomatal density and plant water use efficiency. The application can be applied to reduce the stomatal density of poplar and improve the water use efficiency of poplar by overexpression of the PpnMYC2 transcription factor, and provides a gene resource and a technical method for cultivating a low-water-consumption plant variety.

The utility model relates to the field of farmland irrigation, in particular to an irrigation area farmland irrigation water efficiency inspection device which comprises an irrigation pipe, a flow detection assembly, a soil moisture detection assembly and a control module. According to the utility model, the flow detection assembly and the soil moisture detection assembly are simultaneously arranged on the existing water efficiency inspection device for farmland irrigation in the irrigated area to synchronously detect the irrigation water consumption and the moisture in the soil in real time, and the control module is arranged to summarize and analyze the detected data; according to the system, the irrigation water absorption degree of soil can be better known, the connection module which is remotely connected with the remote terminal equipment is arranged in the control module, detection data can be obtained in real time without the need of a worker to arrive at the site, and therefore targeted measures can be taken for farmland irrigation in time according to the detection data, and the irrigation efficiency is improved. The system has the advantages of being more comprehensive, accurate and intelligent, and the farmland irrigation efficiency and the water resource utilization rate can be remarkably improved.

The application discloses a multifunctional sprinkling irrigation system and method integrating photovoltaic racks, and belongs to the field of agricultural irrigation equipment. The multifunctional sprinkling irrigation system comprises a photovoltaic rack unit, a multifunctional sprinkling irrigation unit and an intelligent control unit. The photovoltaic rack unit comprises a rigid support for bearing a photovoltaic panel, a sunshade net and a rotary sprinkling head. The multifunctional sprinkling irrigation unit comprises a rotary sprinkling head, a partition electromagnetic valve, a main water supply pipe, a functional electromagnetic valve, a water pump and a water pool which are sequentially connected through pipelines. The intelligent control unit comprises a system control center for receiving collected data and sending corresponding instructions to complete intermittent irrigation, frost prevention and control and atomization cooling. Compared with the prior art, the multifunctional sprinkling irrigation system has the advantages that: 1. the photovoltaic rack and the sprinkling irrigation rack are integrated; 2. the construction cost and the maintenance cost of the related agricultural facility equipment system are greatly reduced; 3. intermittent sprinkling irrigation is realized, and the sprinkling uniformity and the water use efficiency of the sprinkling irrigation on a slope are improved; and 4. crop microclimate regulation is realized.

This invention discloses a sand-fixing method utilizing coppicing and sand burial of Haloxylon ammodendron, relating to the fields of windbreak, sand fixation, and vegetation restoration. Based on the natural growth angle of Haloxylon ammodendron branches, this invention applies coppicing and layering treatments to upright and inclined branches respectively. Inclined branches are laid flat against the ground and buried in sand, causing adventitious roots to sprout from the buried internodes and new suckers to grow upwards. These newly formed suckers are guided towards adjacent plants and buried perpendicular to the prevailing wind direction, creating a connected network structure between plants through their root systems and stolons. This invention classifies and treats branches according to their type. Coppicing upright branches reduces plant height and branch height, promoting tillering; sand burial of inclined branches induces adventitious roots, expands the water absorption area, lowers the center of gravity of branches and leaves, and increases ground cover, which is beneficial for improving the sand-fixing efficiency of vegetation, enhancing the water use efficiency of Haloxylon ammodendron, and promoting healthy shrub development.

The invention provides a fertilizer synergist. The fertilizer synergist comprises a urease inhibitor, glutamic acid, organic silicon and a load carrier, the invention further provides a preparation method of the fertilizer and application of the fertilizer in improving the fertilizer utilization rate in the dry-farming potato planting process. According to the invention, the space-time synergistic effect of NBPT and L-glutamic acid discovered for the first time is taken as a basic mechanism; nBPT delays urea hydrolysis, and creates a time window for L-glutamic acid to activate root nitrogen transporter; l-glutamic acid is combined with soil particles through carboxyl of L-glutamic acid to form a slow-release microenvironment, meanwhile, root systems are promoted to secrete organic acid, and nitrogen absorption is enhanced; the organic silicon can change the soil agglomeration structure, increase the water holding capacity of the soil and reduce water infiltration and evaporation; through the synergistic effect of the three, the effective retention time of the nitrogen fertilizer in a root zone is remarkably prolonged, and the nitrogen utilization rate and the water utilization efficiency are improved.

The invention relates to a water and fertilizer integrated drip irrigation experiment monitoring method suitable for winter wheat, and relates to the technical field of crop irrigation, and the method comprises the following steps: 1, selecting an experiment address: selecting 15 mu of land with sufficient light and heat and the same period of rain and heat in a plain area of a warm temperature zone; 2, sowing is conducted, mechanical sowing is conducted, the sowing quantity is 30 jin / mu, the line spacing is 15 cm, and a tested wheat variety is Zhongmai 29; 3, quantitatively applying water and fertilizer, setting irrigation quota of 20, 30 and 40 m < 3 > / mu according to test design, setting fertilization amount as a secondary factor, and respectively setting 210 and 240 kgN / hm < 2 >, 4, walking in an experimental field through a plurality of monitoring devices, picking or measuring and monitoring the wheat in each period of wheat growth, and calculating the water utilization efficiency according to the wheat yield; and step 5, recording meteorological data, and recording the data once every 1h. The method has the beneficial effects that the growth conditions and various parameters of the winter wheat under different variable conditions are obtained, and then the drip irrigation water quantity and the water-fertilizer proportion which are most suitable for the winter wheat are obtained.

The application discloses a kind of artificial simulation rainfall irrigation method and device based on data analysis, it is related to agricultural intelligent irrigation technical field.The method includes: based on cloud server real-time acquisition of the state vector of the multi-source data of seedling area;The irrigation process is modeled as Markov decision process, utilizes deep reinforcement learning algorithm to construct dynamic decision model, and designs reward function including growth reward, water-saving reward and invalid evaporation penalty;Improved dragonfly optimization algorithm is used to globally optimize initial parameters of the model, and the optimized dynamic decision model is obtained by using chaotic mapping and grey wolf cooperation mechanism;The optimal execution parameter is obtained by inputting real-time state vector into the model, and the irrigation system is controlled to execute;The latest data after execution is collected to update the model.The application realizes the intelligentization and precision of irrigation decision, solves the problem of slow convergence in the initial stage of model training and easy to fall into local optimum, and improves the water use efficiency of seedling irrigation and crop growth quality.

The present application relates to the field of agricultural engineering, and discloses a self-adaptive water supply system for corn greenhouse planting, which comprises an environment monitoring module for monitoring air temperature, air humidity, light intensity and concentration in the greenhouse; a growth monitoring module for monitoring corn leaf surface temperature and plant height; a soil monitoring module for monitoring soil temperature, soil moisture content and soil water potential; a root system analysis module for monitoring corn root system distribution depth and root system vigor index; and a control module connected with the environment monitoring module, the crop growth monitoring module, the soil monitoring module and the root system analysis module, for calculating irrigation water requirement according to the corn growth stage, soil moisture condition and root system distribution depth. The present application monitors corn root system distribution depth in real time through the root system analysis module, and introduces a root depth correction coefficient when calculating irrigation water requirement, so as to match water supply with the actual distribution area of root system, thereby improving water use efficiency.

The invention discloses an irrigation area tradable water volume remote sensing evaluation method and system integrating multiple elements. The method comprises the following steps of collecting basic data, estimating irrigation water of a subdivision unit, calculating and analyzing water-saving potential of the subdivision unit, and evaluating a water right trading space. The method is based on a water balance principle and a water right transaction water resource reconfiguration mechanism, combines the advantages of a remote sensing technology, introduces irrigation water, initial water right, water utilization efficiency, water saving potential and other factors, comprehensively considers multiple influence factors such as policies, projects and markets, and achieves the purpose of water resource reconfiguration. And a comprehensive model framework including three key steps of irrigation water estimation, water saving potential analysis and water right transaction space evaluation is constructed, so that refined evaluation of tradable water volume of the irrigation area is realized.

The utility model discloses an agricultural planting greenhouse irrigation device which comprises an irrigation vehicle, a truss and an irrigation pipe. Supports are fixedly installed on the two sides of the irrigating vehicle, T-shaped sliding grooves are formed in the supports, T-shaped sliding blocks are slidably installed in the T-shaped sliding grooves, the outer sides of the T-shaped sliding blocks are connected with irrigating pipes through hinges, a plurality of sets of nozzles are installed on the outer walls of the irrigating pipes, lead screws are vertically and rotatably installed in the T-shaped sliding grooves, and servo motors are fixedly installed at the tops of the supports. An output shaft of the servo motor is in transmission connection with the screw rod, a screw hole is vertically formed in the T-shaped sliding block in a penetrating mode, the screw rod penetrates through the screw hole, and the screw rod is in threaded engagement with the screw hole. The height of the irrigation pipe can be accurately adjusted through the servo motor, the lead screw and other components to adapt to crops with different heights, the angle of the irrigation pipe can be flexibly switched, vertical or horizontal spraying can be selected according to the shapes of the crops, and the water utilization efficiency is improved.

The invention relates to the technical field of environment regulation and control, in particular to a plant root domain microclimate environment regulation and control method capable of adaptively regulating moisture and heat, which comprises the following steps: preparing a bionic microelectrode array capable of specifically sensing a root electric signal; constructing an electric signal-chemical signal conversion layer; printing a multi-channel bionic catheter network with a fractal structure and assembling a photo-thermal response micro-valve; and finally, integrating the intelligent microcapsule and the microbial system to form a functional module. According to the method, a signal is efficiently captured through a graphene-membrane protein interface, the signal is converted into a chemical instruction through a ferrocene / heme system, a liquid crystal valve is driven to regulate and control the water and gas flux in a fractal network, and the phase change heat storage and self-repairing functions of microcapsules are combined; an intelligent root domain environment system capable of dynamically responding to plant physiological needs, resisting environmental stress and promoting microbial symbiosis is constructed in a cooperative mode, and the water utilization efficiency and the ecological restoration effect are remarkably improved.

This invention discloses an optimized method and system for green and high-yield cultivation of dryland wheat, relating to the field of agricultural cultivation technology. The method includes: firstly, acquiring typical precipitation and soil characteristic data of the target planting area, constructing a micro-ridge furrow simulation model, and optimizing the solution with the goal of maximizing predicted water catchment to obtain optimal micro-ridge furrow parameters. Then, calculating the confidence wetting depth based on the precipitation characteristic data and optimization results, and determining the furrow sowing parameters according to the optimization results and wheat water requirements. Finally, performing cultivation operations based on the micro-ridge furrow parameters, furrow sowing parameters, and confidence wetting depth, wherein the fertilizer application depth is determined based on the confidence wetting depth. This invention achieves precise matching of micro-ridge furrow structure, crop layout, and water and fertilizer management, solving the problems of low water use efficiency and poor spatial matching of water and fertilizer in traditional cultivation, and improving the precipitation use efficiency and yield level of dryland wheat.

The utility model relates to the technical field of intelligent pump stations, in particular to an environment-friendly intelligent pump station which comprises a pump station box, control buttons are installed on the surface of the pump station box, a sewage filtering mechanism is arranged in a filtering box, an environment-friendly energy-saving mechanism is arranged on the inner wall of the pump station box, and a water quantity control mechanism is arranged in a cavity. According to the intelligent pump station, solar energy can be fully utilized to supply power to the first water pump when the intelligent pump station is used, so that the intelligent pump station is more energy-saving and environment-friendly and wider in use prospect when being used, sewage can be independently treated when the intelligent pump station is used, and meanwhile, the purpose that the sewage can be used is achieved; and when the intelligent pump station is used, the water level in the water storage tank can be accurately controlled, automatic drainage is achieved, manual intervention is not needed, and the water utilization efficiency is further improved.

The present application relates to the technical field of ecological hydrology and water resources management, and discloses a method for determining suitable area of lake based on ecological water use efficiency, comprising: obtaining multi-source remote sensing monitoring data of target lake area in historical years, extracting lake area, normalized vegetation index, vegetation area and land use type area in each year; calculating ecological environment quality index based on land use type area; calculating ecological water use efficiency; drawing a scatter plot of lake area and ecological water use efficiency in multiple years, conducting quadratic polynomial regression fitting, and constructing a response function between lake area and ecological water use efficiency; determining the optimal lake suitable area threshold by using the first derivative extreme value method, calculating the maximum ecological water use efficiency value, and determining the lake suitable area interval to implement lake ecological management; the present application realizes quantitative evaluation of ecological benefits of lakes in arid regions and accurate determination of suitable area.

The invention belongs to the technical field of vegetation recovery, and particularly relates to a three-dimensional self-maintaining vegetation recovery technology and related application. The technology has obvious advantages in the aspects of improving the water utilization efficiency, improving the soil corrosion resistance, promoting the soil nutrient and water circulation, improving the biodiversity and the like, particularly, maintenance such as watering is not needed after vegetation restoration, the traditional method of fixing green with water is broken through, and serious dependence of vegetation restoration in arid and semi-arid regions on water resources is eliminated. The technology is tested in coal mines, ash storage fields, rare earth mines and the like in northern arid and semi-arid grassland areas, and a good effect is achieved.

The invention relates to application of a TaGRF2-A gene in enhancing heat resistance of wheat, and belongs to the field of plant genetic engineering. Specifically, the wheat TaGRF2-A gene participating in positive regulation and control of high-temperature stress resistance is cloned in wheat, so that the wheat TaGRF2-A gene is overexpressed, and compared with a wild plant, a wheat plant with the overexpressed TaGRF2-A gene shows higher high-temperature resistance; the TaGRF2-A gene enhances the tolerance of wheat under a high-temperature condition in manners of regulating the stomatal conductance of plants, optimizing the photosynthesis efficiency, improving the water utilization efficiency and the like, and a new genetic engineering modification means is provided for cultivating a new wheat variety with high yield, stable yield and high temperature resistance.

The present application relates to the technical field of potato irrigation, and particularly relates to a potato precision irrigation system based on the Internet of Things. The system comprises a movable irrigation point for irrigating potatoes, which can more accurately realize the irrigation of potatoes; and an analysis unit determines the irrigation state based on water use efficiency, and adjusts the point coordinates of the irrigation device corresponding to the region point with a penetration depth lower than the preset penetration depth based on the irrigation state, adjusts the concentration of vitamin C solution when the cumulative irrigation frequency reaches the preset frequency and the irrigation state is still unqualified, and adjusts the irrigation amount when irrigating the vitamin C solution, so that the irrigation of potatoes is more effective. The present application determines the irrigation state based on water use efficiency, and adjusts the parameters when the irrigation state is unqualified, so that the irrigation of potatoes is more accurate, thereby further improving the irrigation efficiency of potatoes.

The invention discloses a method for improving corn and soybean water utilization efficiency and intercropping yield under strip-shaped composite planting, and belongs to the technical field of agriculture. Aiming at the superiority of light and heat resources in the Huang-Huai-Hai region, the limitation of water resources and the uncertainty of the influence on crop productivity, in a corn and soybean strip intercropping mode, a method of combining corn strip deep scarification with total wheat straw and soybean strip returning / total wheat straw uniform returning is adopted, the plow pan is broken, the volume weight is reduced, and the yield is increased. The volume of middle and lower layers of roots is increased; the vertical and horizontal distribution of the roots is optimized; the water competition between intercropping corn and soybean strips is reduced; the above-ground source library relationship is balanced; and detecting. The water utilization efficiency WUE is remarkably improved, the land equivalence ratio LER reaches 1.41, and the method has remarkable production advantages and is beneficial to high-yield, high-efficiency and high-quality production of corn and soybeans in the northwest Shandong region.

The invention discloses a winter wheat light-heat-water synergetic high-yield cultivation method, and belongs to the technical field of crop planting, the method adopts synergetic configuration of wide uniform sowing and drip irrigation, the wide uniform sowing comprises uniform sowing of seedling zones and alternate arrangement of empty rows, and the drip irrigation comprises drip irrigation zones laid along the center lines of the seedling zones; the water content of the drip irrigation zone and the edge water content are controlled through drip irrigation, so that the water content of the seedling zone is gradually reduced from the drip irrigation zone to the edge direction of the seedling zones on the two sides, a drip irrigation zone-seedling zone edge water content gradient difference is formed, and the drip irrigation zone-seedling zone edge water content gradient difference is larger than or equal to 5%; according to the method, an arc-shaped canopy can be formed through induction, flag leaf shielding is reduced, three-dimensional light interception is activated, and the light energy interception rate is increased by 22-28%; the method is matched with single plant space optimization, tillering can be remarkably promoted, compared with conventional drill sowing, the yield is increased by 7%-10%, the water utilization efficiency is improved by 15%-20%, and the method is particularly suitable for water-saving and high-yield cultivation of late-sowing winter wheat.

A motion interrupting water saving faucet valve helps users improve their water efficiency. This is achieved through the use of a soft stop that limits the flow rate of water through a faucet by interrupting the motion of the valve that controls the fluid flow. As a result, there will be multiple different flow rates a user can achieve depending on the needs of a given application. A lower flow rate is the result of the soft stop being engaged through the use of a detent mechanism. The higher rate is the maximum flow rate of a faucet and is easily achieved by a user overriding the soft stop. These different flow rates allow a user to reduce their water consumption because they can now choose between using half or full flow through any given faucet.

This invention relates to the field of analytical testing technology, and in particular to a method and apparatus for evaluating bamboo drought resistance based on the coupling of leaf anatomical structure dynamics and photosynthetic physiology. Under standardized sampling and measurement conditions, this invention focuses on repeatable dynamic characteristics of anatomical structure and couples them with photosynthetic physiological state, while simultaneously suppressing the risk of distortion in water use efficiency in the low-value range. This results in a method and apparatus for evaluating bamboo drought resistance that can be used to accurately and robustly determine the drought resistance level of bamboo under drought stress and rehydration conditions, and has broad application prospects.

The invention discloses a soil humidity threshold regulation and control method for efficient cultivation of red plum apricots, and relates to the technical field of soil humidity threshold regulation and control. The method comprises the following steps: acquiring a soil type, a root distribution depth and a climate condition, determining a soil water retention capacity and an initial moisture utilization rate in combination with a preset red plum apricot growth stage database, classifying growth stages by adopting a k-means clustering algorithm, and acquiring an initial humidity threshold matched with the soil and the climate. If the climate condition deviation exceeds the threshold value, the humidity threshold value is adjusted through a linear regression algorithm, and the dynamic environment change is ensured to be adapted. Based on the adjusted humidity threshold value and root system distribution, a decision tree algorithm is adopted to evaluate the ponding risk, a dynamic drainage scheme is generated in combination with a drainage strategy database, and finally the irrigation amount is adjusted in real time through a proportional integral differential algorithm. The irrigation and drainage strategy can be dynamically optimized, accurate water management is achieved, the growth efficiency of the red plum apricots is improved, and the water accumulation risk is reduced.