75 results about "Sunshine duration" patented technology

The invention provides a photovoltaic array layout method and system based on mountain topography, and relates to the field of photovoltaic array layout, and the method comprises the steps: obtaining the gradient, the slope direction, the vegetation coverage rate and the current sunshine duration corresponding to each sub-grid region; inputting the gradient, the slope direction, the vegetation coverage rate and the current sunshine duration corresponding to the sub-grid region to a preset photovoltaic installation preset model to obtain a layout expected value; determining the layout areas as expected layout areas, splicing all the expected layout areas with the adjacency relation to obtain all to-be-laid areas, and removing the to-be-laid areas with the area smaller than a preset area to obtain all removed areas; and by taking generation power maximization, shadow shielding loss minimization and photovoltaic module installation total cost minimization as objective functions, outputting a layout optimal solution by using a genetic algorithm, and performing photovoltaic array layout on the region after elimination by using the layout optimal solution. According to the method, the suitability of each sub-grid region is accurately evaluated, so that the accuracy of the photovoltaic array layout is improved.

The invention provides a drought and flood sudden turning event identification method, device and system, and relates to the technical field of water resource management, and the method comprises the steps: determining a research region and time period, collecting rainfall, sunshine duration, wind speed, pressure, humidity and air temperature data, carrying out the linear difference of vacant data, and carrying out the data preprocessing; constructing a rainfall difference comparison index for judging the sudden change degree of the drought and flood sudden change event; calculating a standardized rainfall evapotranspiration index for judging and identifying drought and flood events; establishing a grading standard of drought and flood events, and classifying the severity of the identified drought and flood events; and combining the rainfall difference comparison index with a standardized rainfall evapotranspiration index to construct a drought and flood sudden turning index for analyzing the sudden turning intensity. According to the method, the influence of rainfall intensity change on the flood disaster event is fully considered, and the occurrence process and severity level of the drought and flood sudden change event can be effectively and accurately identified.

The invention provides an on-grid electric quantity evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: calculating the average system efficiency of a photovoltaic power station according to the site environment data, site meteorological data and project design data of the photovoltaic power station; analyzing the factory site meteorological data, and determining the peak sunshine duration of the photovoltaic power station; analyzing the project design data to determine the power generation attenuation of the photovoltaic power station, and calculating the peak power generation power of the photovoltaic power station by using the power generation attenuation; and based on the average system efficiency, the peak sunshine duration and the peak power generation power, calculating the power generation amount of the photovoltaic power station in the preset time period. Compared with the prior art, the embodiment of the invention comprehensively considers the factory site environment data, the factory site meteorological data and the project design data, so that the actual operation condition of the photovoltaic power station can be more comprehensively reflected; based on the calculation result, the generating capacity of the photovoltaic power station in the preset time period can be accurately estimated, and an important basis is provided for income prediction and economic benefit evaluation of the power station.

The invention relates to the technical field of intelligent cultivation of anoectochilus formosanus, and discloses an intelligent cultivation system for anoectochilus formosanus. The system collects anoectochilus formosanus production environment data through an environment monitoring module and a water and fertilizer management module, and sends the collected data to a data analysis module through a wireless transmission protocol; the data analysis module calculates the optimal growth temperature, the sunshine duration, the growth moisture demand, the nutrient concentration, the photosynthetically active radiation, the fertilizer ratio and the soil moisture saturation according to the data and calculates the expected maturation time of the anoectochilus formosanus by integrating the numerical values, and the growth monitoring module analyzes the expected maturation time of the anoectochilus formosanus. And judging whether the expected maturation time of the anoectochilus formosanus accords with the expected time of the system or not, if not, generating a cultivation adjustment signal, and performing intelligent adjustment on the growth environment of the anoectochilus formosanus by an intelligent adjustment module according to the cultivation adjustment signal, and generating an anoectochilus formosanus cultivation optimization report. And the user interaction module sends the anoectochilus formosanus cultivation optimization report to the intelligent display terminal.

The invention discloses a cloud data processing-based scientific precise irrigation system, and relates to the technical field of precise irrigation, and the system comprises the following steps: obtaining influence data of sunshine duration on humidity; obtaining influence data of the temperature on soil moisture loss; acquiring influence data of wind speed on soil moisture loss; establishing an irrigation strategy based on the multiple influence data, and judging whether the soil is short of water or not in real time based on the irrigation strategy; carrying out irrigation treatment on the area needing to be irrigated on the basis of a judgment result; the method is used for solving the problems that in existing actual irrigation, a manual irrigation mode is adopted for irrigation under different weather conditions, water resource waste and pesticide waste are caused by subjective judgment during manual irrigation, and the irrigation efficiency is further low.

The invention relates to an intelligent power transformation micro-station equipment energy consumption prediction method based on a symbolic regression algorithm, and the method comprises the steps: selecting the daily average temperature # imgabs0 #, the daily average humidity # imgabs1 #, the sunshine duration t and the traffic flow VF as four input features which affect the daily total energy consumption of an intelligent power transformation micro-station; three modules of a symbol regression algorithm based on adaptive iteration and control variable genetic programming: an adaptive iteration module, a control variable module and a genetic programming algorithm module are used for training a standard genetic programming algorithm; and inputting the sorted historical energy consumption data set into an intelligent power transformation micro-station equipment energy consumption prediction model based on a symbol regression algorithm to obtain a total energy consumption prediction value of the intelligent power transformation micro-station on the day. The method can effectively mine the potential relation between the characteristics in the data set, obtains the displayed prediction equation, and accurately predicts the energy consumption of the intelligent power transformation micro-station equipment. The search space of the algorithm can be reduced, the training time of the prediction model is shortened, and the model energy consumption prediction precision is improved.

The invention discloses a winter wheat rotten field rain disaster identification method based on intensity-area-duration time, and the method comprises the steps: collecting historical and forecast meteorological data of a target region, and rapidly identifying a station scale rotten field rain event; then, on the regional scale, the number of regional rotten field rain stations, the number of continuous days, the average cumulative precipitation and the average sunshine duration are extracted for representation, normalization processing is conducted on the four indexes corresponding to historical regional rotten field rain events, and finally a rotten field rain event comprehensive strength evaluation model is constructed by means of the normalized indexes. And obtaining the comprehensive intensity of the regional rotten rain event in the target region, and obtaining an evaluation result of the comprehensive intensity of the historical and forecast regional rotten rain event. According to the method, the principle of rotten field rain identification is improved, indexes for evaluating rotten field rain events are perfected, occurrence and comprehensive strength of winter wheat rotten field rain disasters can be rapidly identified, and meteorological service effectiveness in the critical period of winter wheat harvesting is improved.

The invention relates to a remote control adjusting system for intelligent garden maintenance, and relates to the field of intelligent garden remote control, and the method comprises the steps: obtaining image information, illumination duration and illumination intensity of each region in an intelligent garden, and environment parameters of a plurality of positions and moments in each region, the environment parameters comprising air temperature and soil humidity, the soil drying speed of each area is determined on the basis of the environment parameters, the sunshine duration, the illumination intensity and the image information, the vegetation density of each area is determined on the basis of the image information, a target area is determined according to the drying speed and the vegetation density, the target area is an area needing irrigation, and sprinkling irrigation equipment in the target area is controlled to be started. The method has the effects of accurately determining the area needing sprinkling irrigation in the smart garden and reducing waste of water resources.

A high-precision solar resource assessment method based on a downscaling method for complex terrain includes steps as follows. Step (1): an average climatic field is calculated based on monitoring data of sunshine durations, climatic field interpolation results are obtained based on the average climatic field, and a climatic field is created. Step (2): a difference between data of the sunshine durations and the climatic field is calculated, anomaly field interpolation results are obtained based on the difference, and an anomaly field is created. Step (3): the climatic field interpolation results and the anomaly field interpolation results are overlayed. Step (4): bias adjustment is performed on the high-precision sunshine duration interpolation results obtained in the step (3) based on the monitoring data of the sunshine durations to obtain final results. Step (5): daily solar radiation is estimated based on the sunshine durations and extraterrestrial solar radiation.

The invention relates to the technical field of agricultural information processing, in particular to a sunshine duration forecasting method based on multiple modes. The cloud cover and solar radiation forecasting data of EC and CMA-MESO modes are combined, two different calculation algorithms are adopted for contrastive analysis, the optimal forecasting method is selected, the sunshine duration forecasting precision is effectively improved, the method can accurately forecast the sunshine duration according to the cloud cover and the radiation condition, the method can adapt to different seasonal changes, and the method has the advantages of being high in practicability and wide in application range. And the practicability and the reliability are relatively high.

To provide a system configured to collect data on soil, climate, moisture, and nutrient, generate an optimal agricultural decision based on the collected data, and issue an instruction to an agricultural machine based on the generated decision, so as to allow a user who has no agricultural knowledge or experience to implement full-automatic and efficient farming.SOLUTION: In a data processing system equipped with a data processing apparatus 12 and a smart device 14, a specific processing unit 290 causes a sensor group that collects data on soil, climate, moisture, and nutrient to collect data on humidity or acidity of the soil, temperature, precipitation, and sunshine hours in real time, transmits the data to a central database, analyzes the collected data, and constructs an AI for generating an optimal agricultural decision. The AI uses a machine learning algorithm to determine which crop is to be planted, when the crops are to be harvested, or how much water should be applied, for determining an optimal agricultural action.SELECTED DRAWING: Figure 2

The invention provides an intelligent early warning method for high-altitude operation falling risks of railway station canopy transformation. Comprising the following steps: inputting canopy component parameters, reference values and weight coefficients, and starting all sensors to carry out data calibration so as to remove abnormal values; the real-time environment temperature, the cumulative sunshine duration of the day, the component surface humidity and the real-time wind speed of an operation point are collected through the multi-dimensional environment sensing module, and the component actual measurement thickness and the component vibration speed are collected through the canopy component state monitoring module. The total load, the actual operation height and the single-time operation duration of the operation platform are collected through the operation platform state monitoring module, and the respiratory frequency variation coefficient of the operation personnel is collected through the personnel physiology monitoring module; inputting the acquired real-time environment temperature, the accumulated sunshine duration on the day, the surface humidity of the component, the actually measured thickness of the component and the vibration speed of the component into an intelligent early warning calculation module; reliable safety guarantee can be provided for railway station canopy transformation aloft work in regions with remarkable temperature differences.

The utility model relates to a novel cross joint coupler which comprises a cross joint, the upper end and the lower end of a vertical shaft are respectively provided with a connecting plate, the front side and the rear side of a transverse shaft are respectively provided with a connecting plate, the two connecting plates on the vertical shaft are oppositely arranged up and down, and a left main beam is clamped by a U-shaped notch between the upper connecting plate and the lower connecting plate; the two connecting plates on the transverse shaft are oppositely arranged front and back, a U-shaped notch between the front connecting plate and the rear connecting plate clamps the right main beam, and gaps exist between the left main beam and the connecting plates and between the right main beam and the connecting plates. The relative position between the two main beams of the novel cross joint coupler can be slightly adjusted, so that certain up-down and left-right deviation can be allowed between the adjacent platforms, a site does not need to be leveled, accurate measurement is not needed, the installed capacity is increased, the installed efficiency is improved, the sunshine duration is prolonged, and the capital construction cost is greatly reduced. In addition, tracking type photovoltaic power generation can be used in areas such as hills, and the application range of the photovoltaic module is widened.

The present invention discloses a method for calculating the glacier meltwater discharge of rivers in arid regions considering dynamic glacier melting, which relates to the field of hydrology. The method includes the following steps: obtaining the glacier areas of all glaciers in the basin; calculating the glacier volumes according to the glacier volume-area ratio relationship; allocating the glacier areas and glacier volumes to each sub-basin of the basin to calculate the total glacier coverage area and glacier volume of each sub-basin; obtaining the solar radiation amount in the basin based on the basin's longitude, latitude and sunshine hours; obtaining the meteorological data within and around the basin, and interpolating the meteorological data to the sub-basins according to the Thiessen polygon method to obtain the meteorological conditions on each sub-basin; calculating the glacier surface temperature on the day of ice melting; calculating the glacier melting amount on each sub-basin based on the ice surface temperature and solar radiation amount, so as to realize the calculation of the glacier meltwater discharge in arid regions.

The invention relates to an intelligent power transformation micro-station equipment energy consumption prediction system and method based on a symbol regression algorithm, and the method comprises the steps: selecting daily average temperature, daily average humidity, sunshine duration t and traffic flow VF as four input features which affect the daily total energy consumption of an intelligent power transformation micro-station; three modules of a symbol regression algorithm based on adaptive iteration and control variable genetic programming: an adaptive iteration module, a control variable module and a genetic programming algorithm module are used for training a standard genetic programming algorithm; and inputting the sorted historical energy consumption data set into an intelligent power transformation micro-station equipment energy consumption prediction model based on a symbol regression algorithm to obtain a total energy consumption prediction value of the intelligent power transformation micro-station on the day. The method can effectively mine the potential relation between the characteristics in the data set, obtains the displayed prediction equation, and accurately predicts the energy consumption of the intelligent power transformation micro-station equipment. The search space of the algorithm can be reduced, the training time of the prediction model is shortened, and the model energy consumption prediction precision is improved.

The application discloses a molecular marker for identifying geographical origin of Populus tomentosa and application thereof, and the molecular marker is located at the 42th base of FPA gene in a poplar genome and has C / A polymorphism, wherein a P. tomentosa individual with a genotype AA of the molecular marker has a shorter annual average sunshine duration, and a P. tomentosa individual with a genotype CC of the molecular marker has a longer annual average sunshine duration. The molecular marker provided by the application has a clear function and a significant effect, and can be directly applied to molecular marker assisted breeding of the poplar; and the molecular marker has environmental adaptability and is suitable for directional introduction of the poplar.

The invention relates to the technical field of three-dimensional geographic modeling, in particular to a land utilization planning auxiliary method and system based on a 3D terrain model, and the method comprises the following steps: obtaining point cloud and elevation information, converting the information into a terrain curved surface, discretizing the information into a voxel grid, analyzing a planning index, converting the planning index into a geometric constraint boundary, and traversing to construct a planning voxel field. Calculating earthwork digging and filling requirements and sunshine hours to generate an evaluation matrix, correcting the building voxel distribution and finely adjusting the terrain elevation. According to the method, terrain refined expression is realized by using an octree segmentation algorithm, indexes such as a plot ratio are converted into three-dimensional space geometric constraints, site suitability is evaluated through connectivity analysis, and building layout and earthwork balance are automatically optimized by adopting morphological operation, so that the problems of lack of space intuition and error accumulation in traditional two-dimensional planning are solved; the planning calculation precision and decision scientificity under the complex terrain are remarkably improved, and dynamic adjustment and visual expression of the scheme are achieved.

In an automated power distribution system equipped with a power generation device such as a solar power plant, the discharge time of a substation is estimated. [Solution] The slave station 2 and master station 3 that constitute the power distribution automation system 1 are equipped with a solar power generation unit 220, a power storage unit 230, and a sunshine measurement unit 240 as functions of the slave station 2, and a prediction unit 342 that predicts the amount of power generated by the solar power generation unit 220 based on the sunshine duration and amount of solar radiation as functions of the master station 3, an estimation unit 343 that estimates the dischargeable time of the power storage unit 230 based on the predicted amount of power generated and the amount of power stored in the power storage unit 230, and a display unit 320 that displays the estimated dischargeable time of the power storage unit 230.

The present invention discloses a method and system for calculating sunshine duration for building regeneration based on spherical coordinates, including: taking the moving trajectory of the sun in a day as the bottom surface and the measuring point as the vertex to obtain a sunshine cone surface in the spherical coordinate system, and obtaining sunshine cone surface parameters, including the cone direction vector of the cone vertex, the cone angle, and the sunshine analysis time period interval; triangulating the building model, and converting the vertices of the triangular meshes into spherical coordinates in the same spherical coordinate system as the sunshine cone surface; finding out the triangular meshes that collide with the sunshine cone surface; calculating the longitude of the intersection points of the triangular meshes and the sunshine cone surface to obtain the occlusion intervals of the triangular meshes; merging the occlusion intervals of all the triangular meshes to obtain the occlusion interval of the building model; subtracting the occlusion interval of the building model from the sunshine analysis time period interval to obtain the sunshine interval of the measuring point, and calculating the sunshine duration. The present invention solves the problems that it is difficult to balance the calculation accuracy and calculation speed, and there is a calculation difficulty for complex buildings.

The invention discloses a DEM (Digital Elevation Model) sunshine duration method and system based on GPU (Graphics Processing Unit) and terrain entropy optimization, and belongs to the technical field of geographic information science and space calculation. The method comprises the following steps: firstly, calculating topographic information entropy by using digital elevation model data to quantify topographic complexity of different regions; and the terrain information entropy is used as a self-adaptive driving factor to dynamically adjust the search radius and the search step length of the sun visible range, so that the condition that no shielding exists in a terrain gentle region is quickly judged, and the terrain shielding relationship is finely simulated in a mountain region or a complex terrain region. Besides, the method is realized by adopting a CUDA (Compute Unified Device Architecture) parallel architecture, and is combined with a GPU (Graphics Processing Unit) parallel strategy of partitioning and partitioning, so that the calculation load of high-resolution data is effectively reduced, and the overall operation efficiency and the memory utilization rate are improved.

The invention provides a production method of high-quality five-color leek, which comprises the following specific steps: when the temperature in a greenhouse is-4 DEG C to 10 DEG C, the duration time exceeds 2 days, the external illumination intensity is higher than 10000 lx, and the daytime sunshine duration is 4-6 hours, leek leaves are purple; when the temperature in the greenhouse is-4 DEG C to 10 DEG C, the external illumination intensity is 3000-10000 lx, and the daytime illumination time is 4-6 hours, the leek leaves are red; when the temperature in the greenhouse is 10 DEG C or above, the external illumination intensity is higher than 12,000 lx and the daytime illumination time is not less than 4 h, leaves of the Chinese chives are green; when no illumination exists or the illumination intensity in the greenhouse is lower than 400 lx and the illumination time in the daytime is shorter than 2 h, leaves of the Chinese chives are yellow; the leaf sheath part of the leek is always in a sand covering state and is white; according to the method, watering, topdressing and pesticide applying are not needed in the process from greenhouse covering to harvesting of the allium fistulosum, the quality safety and ecological safety of the allium fistulosum are guaranteed, and the requirements of high-quality vegetables and the requirements of consumers for healthy diet are met.

The invention discloses a distributed photovoltaic output model construction method and system, and an output prediction method and system. The method comprises the following steps: dividing historical distributed photovoltaic output data into photovoltaic output data of each season according to seasons; based on the photovoltaic output data of each season, a distribution interval of a proportionality coefficient, a telescopic coefficient, a translation coefficient and a beta distribution shape parameter in each season is determined by using a least square method, and a basic component model is constructed in combination with a beta distribution model; determining a distribution interval of an autocorrelation coefficient and a random variance correlation coefficient in each time period of each season by using a least square method based on the photovoltaic output data of each season, and constructing a random component model in combination with a colored noise model; constructing a distributed photovoltaic output model considering seasonal characteristics based on the basic component model and the random component model; according to the invention, the proportionality coefficient, the expansion coefficient and the translation coefficient are introduced to describe the output amplitude, the sunshine duration and the peak phase of each season, and the photovoltaic output rules in different seasons are accurately described.

The application discloses a kind of based on earthworm soil immunity strawberry facility environment synergic regulation method and system, belong to strawberry facility planting technical field.This method aims at solving the problem that earthworm activity is difficult to maintain continuously in prior art, environment regulation and biological demand are split.The technical scheme points are as follows: through sensor network, soil temperature, moisture content, oxygen concentration and by image recognition are obtained earthworm manure accumulation rate;These data are input into pre-trained earthworm strawberry symbiosis dynamic model, the model can be switched according to environmental temperature and sunshine duration Winter Energy Saving and conventional symbiosis two modes, and generate corresponding temperature, humidity and oxygen control threshold;Finally, by comparing real-time data and threshold to trigger actuator to carry out synergic environment regulation.This method is mainly used for precise management of environment in strawberry facility cultivation, to synergistically improve earthworm population survival rate and strawberry production efficiency.

Predicts the occurrence of plant diseases and pests with high accuracy. [Solution] The prediction device (1) includes a calculation unit (12) that calculates the current rate of proliferation of plant diseases and pests by referring to at least one of the information indicating the temperature, humidity, and sunshine hours around the plant at the present time, and a prediction unit (13) that predicts the current amount of disease and pest occurrence using Bayesian modeling based on the cumulative value of the proliferation rate and the amount of disease and pest occurrence at a time prior to the present time.

The invention discloses a sunshine duration calculation method for photovoltaic arrays with different inclination angles and a related device, and the method comprises the steps: obtaining the position of a to-be-measured project site, extracting sunshine parameters of the to-be-measured project site, and carrying out the processing of the sunshine parameters; according to the processed sunlight parameters and environmental factors of the project site to be measured, determining an actual laying inclination angle of a photovoltaic panel, and calculating the sunlight hours at the actual angle; and obtaining the sunshine duration of the photovoltaic array at different inclination angles based on the sunshine hours at the actual angle. The method not only improves the accuracy, but also enhances the universality, and is suitable for photovoltaic projects of different geographic positions and climate conditions. The limitation problems that photovoltaic resource software cannot calculate different inclination angles, the universality is insufficient, the calculation process is complex and the like when the sunlight duration of photovoltaic arrays with different inclination angles is calculated in the prior art are effectively solved, and the actual application requirement is met.

The application discloses a DEM sunshine duration method and system based on GPU and terrain entropy optimization, and belongs to the field of geographic information science and spatial computing technology. The method firstly calculates terrain information entropy by using digital elevation model data to quantize the terrain complexity of different regions; and then dynamically adjusts the solar visibility range search radius and search step length by taking the terrain information entropy as an adaptive driving factor, so that the terrain shielding relationship is finely simulated in the mountainous or complex terrain area while the unobstruction is quickly determined in the flat terrain area. In addition, the application is realized by using a CUDA parallel architecture, and the GPU parallel strategy of block partitioning is combined, so that the calculation load of high-resolution data is effectively reduced, and the overall operation efficiency and memory utilization are improved.

The invention discloses a deep learning runoff prediction model based on a three-dimensional network structure and a prediction method thereof. A two-dimensional convolutional neural network is used for extracting nonlinear correlation among multi-dimensional meteorological elements such as air pressure, air temperature, relative humidity, rainfall, evaporation, wind direction and wind speed, sunshine duration and ground temperature; and discrete site data is mapped into a spatial continuous grid by adopting an inverse distance weighted interpolation (IDW) method, so that the omnibearing description of the driving runoff change is realized. Long and short term dependence is captured in combination with BiLSTM, and an Attention mechanism dynamically focuses on key meteorological events, so that the model has higher robustness when processing time sequence characteristics, and the defects that a traditional method is strong in dependence on a single factor and is easily influenced by local anomaly are effectively overcome.

The present invention discloses a photosensitive nuclear recessive male sterile gene Ghpsm5 and its application in cotton, and relates to the technical fields of genetic engineering and agricultural crop genetic breeding. The present invention provides a photosensitive nuclear recessive male sterile gene Ghpsm5 of cotton, which can cause the cotton to be male sterile under long-day conditions with a sunshine duration of greater than or equal to 12.5 hours by changing the sequence of the Ghpsm5 gene in normal cotton plants so that it cannot be normally expressed; male fertility can be restored under short-day conditions with a sunshine duration of less than or equal to 12.0 hours; and the cotton cannot self-pollinate and produce bolls when the sunshine duration is greater than 12.0 hours but less than 12.5 hours, and can still be used for hybrid seed production. Changing the gene has no effect on female fertility. By preventing the expression of the gene through biotechnology, a photosensitive nuclear recessive male sterile line of cotton can be created for cotton breeding.

1. The name of the design product: light radiation sensor. 2. The use of the design product: for monitoring light intensity, total radiation, sunshine hours, ultraviolet intensity and other light source data. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

A step-shaped three-dimensional cultivation frame comprises supporting plates, a cross beam is arranged between the two supporting plates, the two ends of the cross beam are fixedly connected with the inner sides of the two supporting plates respectively, a folding sunshade is arranged behind the two supporting plates and comprises a storage box and supporting plates, the front portion of the storage box is fixedly connected with the rear portions of the two supporting plates, and the supporting plates are fixedly connected with the storage box. The support is located in front of the supporting plate, cultivation grooves are formed in the upper portion of the support and the upper portion of the supporting plate, plants with saturated sunlight can be shaded through the folding plate and the sliding plate, damage to the plants due to too sufficient sunlight is prevented, and when sunlight is insufficient in cloudy days, the planting lamps can prolong the illumination time of the plants to promote growth of the plants; by means of the device, the sunshine duration of the plants can be adjusted, and stable growth of the plants is promoted.