An intelligent integrated water and fertilizer management system for Chinese medicinal material planting

Abstract

The present invention relates to the field of irrigation management technology, and specifically to an intelligent integrated water and fertilizer management system for Chinese medicinal materials planting. In the present invention, by accurately monitoring the dynamic changes in soil pH, the ratio of acid-base neutralizing fertilizer and nutrient supplement fertilizer is regulated to form a stable rhizosphere environment, so that nutrient absorption is more targeted, and the impact of pH fluctuations on crop growth is avoided. According to the method of adjusting the water supply gradient, the crop water demand is matched according to the rate of change of the humidity gradient, ensuring the dynamic balance of water supply in the root zone and reducing water stress caused by uneven irrigation. Combined with the capillary action adjustment method, the water potential changes in the soil layer are analyzed, the water supply rate is matched, and the water transfer optimization of soils at different depths is achieved, so that the water in the root zone remains stable for a long time and the water use efficiency is improved. Based on the prediction and analysis of the transpiration rate and combined with meteorological data, the water and fertilizer supply ratio is optimized, so that the water supply and nutrient supplementation are matched with the changes in the transpiration rate, thereby enhancing the metabolic efficiency of crops.

Description

Technical Field

[0001] The present invention relates to the technical field of irrigation management, and in particular to an intelligent water-fertilizer integrated management system for Chinese medicinal material planting. Background Art

[0002] The field of irrigation management technology encompasses the scientific management and regulation of water resources during crop growth to ensure that crops receive an appropriate water supply. Core aspects of this technology include the selection of irrigation methods, the determination of irrigation schedules, precise control of water volume, and integrated water and fertilizer management. Modern irrigation management technology primarily relies on sensor data acquisition, flow control devices, automatic control systems, and information platforms for real-time regulation to achieve efficient water resource utilization and optimize the crop growth environment.

[0003] Among them, the intelligent integrated water and fertilizer management system for Chinese medicinal materials cultivation refers to an automated control system for the supply of water and fertilizer during the cultivation of Chinese medicinal materials. The system uses a soil moisture monitoring device to obtain real-time moisture conditions around the roots of Chinese medicinal materials, and sets reasonable water supply requirements based on the crop growth cycle. Secondly, based on the water-fertilizer ratio allocation method and the changes in nutrient requirements at different growth stages, the system accurately mixes the fertilizer solution and evenly delivers it. Furthermore, using irrigation flow control technology, the flow regulating device achieves a quantitative supply of the water-fertilizer mixture to ensure balanced root absorption. Finally, based on data analysis and processing methods, the system compares historical planting data, environmental parameters, and water and fertilizer usage to optimize irrigation strategies to adapt to the needs of Chinese medicinal materials cultivation in different climatic conditions and soil types.

[0004] Existing technologies for water and fertilizer management rely on a fixed model of soil moisture monitoring and water-fertilizer ratio adjustment, lacking in-depth awareness of the dynamic changes in the rhizosphere environment. This results in overly static water and fertilizer management strategies that are difficult to adapt to complex growing environments. Irrigation flow control primarily relies on a fixed supply method, failing to fully account for the impact of water gradients. This leads to uneven water distribution across soil layers, easily causing shallow water saturation and limiting access to water for deeper roots, impacting root development. Existing solutions only consider transpiration rates in a limited way and fail to adjust water and fertilizer supply strategies based on future meteorological trends. This can lead to delayed water supply or insufficient nutrient replenishment under high temperature or low humidity conditions, impacting normal crop metabolism. Regarding water and fertilizer linkage optimization, most systems use fixed supply schedules and fail to precisely adjust based on the actual transpiration characteristics of crops. This results in poor water and fertilizer resource matching and makes it difficult to ensure balanced supply throughout the growing cycle. Data analysis primarily focuses on simple historical data review, failing to develop a real-time adjustment mechanism based on environmental variables. These systems lack the ability to dynamically adapt to varying soil characteristics and climatic conditions, making them incapable of meeting the demands of refined management in complex growing environments. Summary of the Invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent water-fertilizer integrated management system for Chinese medicinal material planting.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an intelligent integrated water and fertilizer management system for Chinese medicinal materials planting includes:

[0007] The rhizosphere pH dynamic control module obtains pH sensor data, adjusts the ratio of acid-base neutralizing fertilizer and nutrient supplement fertilizer, and generates the root zone water and fertilizer concentration control results;

[0008] The water gradient supply module calculates the current soil moisture gradient change rate based on the root zone water and fertilizer concentration control result, compares it with the crop water demand, and adjusts the water supply rate to obtain the root zone water supply adjustment result;

[0009] The capillary water regulation module calculates the soil capillary strength at multiple depths based on the root zone water supply adjustment result, adjusts the water supply according to the matching degree between the water supply rate and the capillary strength, and generates a root zone water retention result;

[0010] The transpiration rate prediction and control module obtains the temperature data of the meteorological station and the leaf transpiration rate in the Chinese medicinal material planting base, calculates the future temperature change value, adjusts the water and nutrient replenishment ratio according to the root zone water retention result, and generates the transpiration prediction and control result;

[0011] The water-fertilizer linkage optimization module obtains the current transpiration rate data and nutrient absorption rate data of the crop from the transpiration prediction and control results, calculates the water and fertilizer supply ratio during the day and night, adjusts the water and fertilizer supply time series according to the supply ratio, and generates intelligent water and fertilizer management results for Chinese medicinal materials planting.

[0012] As a further solution of the present invention, the root zone water and fertilizer concentration control results include the root zone fertilization pH adjustment value, the fertilizer solution nutrient concentration adjustment ratio, and the root zone acid-base neutralization application amount; the root zone water supply adjustment results include the root zone water supply rate adjustment value, the root zone irrigation water distribution ratio, and the root zone water infiltration balance ratio; the root zone water retention results include the root zone water retention index, the capillary water conductivity evaluation value, and the soil layer water holding capacity classification; the transpiration prediction control results include the transpiration rate change trend, the transpiration water supplement adjustment coefficient, and the diurnal transpiration dynamic correction amount; the intelligent water and fertilizer management results for Chinese medicinal materials planting include the diurnal water and fertilizer supply optimization ratio, the water and fertilizer linkage adjustment coefficient, and the crop growth cycle water and fertilizer matching index.

[0013] As a further solution of the present invention, the rhizosphere pH dynamic control module includes:

[0014] The pH change rate calculation submodule obtains the soil pH sensor data in the root zone of the Chinese medicinal material planting base, records the pH value at each time point, and uses the formula:

[0015]

[0016] Calculate the rhizosphere pH change rate R pH , get the pH dynamic change value;

[0017] Among them, pH t represents the pH value of the root zone soil at time point t, pH t-1 represents the pH value of the root zone soil at time point t-1, T represents the total length of monitoring time, and n represents the total number of sampling data points;

[0018] The rhizosphere pH dynamic threshold setting submodule obtains crop growth stage data based on the pH dynamic change value, determines whether the pH change rate exceeds the stage change threshold based on the rhizosphere pH requirement range of the crop growth stage, sets the rhizosphere pH dynamic threshold, and obtains the pH control target interval;

[0019] The water-fertilizer ratio control submodule monitors the current rhizosphere pH value based on the pH control target interval, calculates the deviation between the current pH value and the pH control target interval, adjusts the application ratio of acid-base neutralizing fertilizer and nutrient supplement fertilizer, and obtains the root zone water and fertilizer concentration control result.

[0020] As a further solution of the present invention, the moisture gradient supply module includes:

[0021] The soil moisture data acquisition submodule obtains data from soil moisture sensors at each depth in the Chinese medicinal material planting base, as well as the soil moisture value at the corresponding depth, and classifies and summarizes the data according to the depth of sensor layout, calculates the humidity change amplitude at adjacent time points, and associates the humidity change amplitude data with the root zone water and fertilizer concentration control results recorded at the corresponding time points. By comparing the matching degree of the humidity change amplitude with the fertilization ratio, the soil moisture change data is obtained;

[0022] The soil moisture gradient calculation submodule uses the formula based on the soil moisture change data:

[0023]

[0024] Calculate the moisture gradient change rate G of each layer according to depth w , obtain the moisture gradient change information between each soil layer;

[0025] Among them, W i Represents the soil moisture value at depth i, W i+1 represents the soil moisture value at depth i+1, D i represents the position of the soil layer at depth i, D i+1 represents the position of the soil layer at depth i+1, T1 represents the measurement time interval, and n1 represents the number of soil layers;

[0026] The irrigation water supply regulation submodule calculates the difference between the current water supply and the target water demand based on the moisture gradient change information between each soil layer, uses the difference as the water supply regulation amount, adjusts the water supply rate of the irrigation equipment according to the water supply regulation amount, and obtains the root zone water supply adjustment result.

[0027] As a further embodiment of the present invention, the capillary action moisture regulation module includes:

[0028] The soil water potential data acquisition submodule obtains the root zone water supply adjustment result, calls the water potential sensor data arranged in each soil layer of the Chinese medicinal material planting base, and classifies it according to the depth of the soil layer. By calculating the water potential change at adjacent time points, calling the root zone water supply rate data at the corresponding time points, analyzing the change trend between water potential and water supply rate, and obtaining the soil water potential change analysis result;

[0029] The capillary action calculation submodule uses the formula based on the soil water potential change analysis results:

[0030]

[0031] Calculate the soil capillary strength C at depth j w,j , and obtain the capillary distribution information;

[0032] Among them, j represents the soil water potential at depth j, d j represents the position of the soil layer at depth j, K j represents the soil hydraulic conductivity at depth j, d j+1 -d j represents the depth interval between adjacent soil layers, Ψ j+1 -Ψ j represents the water potential difference between adjacent soil layers, γ w Represents the specific gravity of water;

[0033] The water stability assessment submodule is based on the capillary action distribution information, analyzes the matching degree between the water supply rate and the capillary action distribution value according to the root zone water supply rate, analyzes the flow trend of water in each layer of soil in the root zone, determines the water retention stability in the root zone, and obtains the root zone water retention result.

[0034] As a further solution of the present invention, the transpiration rate prediction and control module includes:

[0035] The temperature change calculation submodule obtains the temperature data of the weather station, the regional microclimate data, and the leaf transpiration rate sensor data using the formula:

[0036]

[0037] Calculate the temperature change value X in the specified time period in the future pred , generate future temperature change analysis results;

[0038] in, Represents the temperature data of the i1th measurement point of the current weather station data, represents the influencing factor of regional microclimate data, n2 represents the total number of measurement points of the current weather station, Represents the temperature data for the same historical period, represents the temperature data of the current time period, and m represents the total number of measurement points of the historical time period data;

[0039] The transpiration rate fluctuation judgment submodule calls the leaf transpiration rate sensor data based on the future temperature change analysis result, calculates the transpiration rate change value, judges the transpiration rate fluctuation direction, and obtains the transpiration rate change trend information;

[0040] The water and nutrient adjustment submodule calculates the water and nutrient replenishment ratio based on the transpiration rate change trend information and the root zone water retention result, regulates according to the replenishment ratio, and generates a transpiration prediction and regulation result.

[0041] As a further solution of the present invention, the water-fertilizer linkage optimization module includes:

[0042] The water and fertilizer supply ratio calculation submodule obtains the current transpiration rate data and nutrient absorption rate data of the crop based on the transpiration prediction and control results, using the formula:

[0043]

[0044] Calculate the water supply ratio R during the day and night water and the ratio of day and night fertilizer supply R nutrient , get the water and fertilizer supply ratio information;

[0045] in, represents the transpiration rate of the crop at the i1th monitoring point, represents the nutrient absorption rate of the crop at the i1th monitoring point, n3 represents the total number of current monitoring points, represents the transpiration rate of the j1th historical monitoring point, represents the nutrient absorption rate of the j1th historical monitoring point, m1 represents the total number of historical monitoring points, L day represents the daylight hours, L night represents the duration of nighttime light exposure;

[0046] The water and fertilizer supply time series adjustment submodule adjusts the water and fertilizer supply time series based on the water and fertilizer supply ratio information, with reference to the diurnal cycle characteristics and the water and fertilizer demand periods of the crops, to obtain a water and fertilizer supply time arrangement result;

[0047] The water and fertilizer management result generation submodule analyzes the water and fertilizer supply plan based on the water and fertilizer supply time arrangement results and the water and fertilizer resource conditions in the planting area to generate intelligent water and fertilizer management results for Chinese medicinal materials planting.

[0048] Compared with the prior art, the advantages and positive effects of the present invention are:

[0049] In the present invention, by accurately monitoring the dynamic changes of soil pH, the ratio of acid-base neutralizing fertilizer and nutrient supplement fertilizer is regulated to form a stable rhizosphere environment, making nutrient absorption more targeted and avoiding the impact of pH fluctuations on crop growth. According to the method of adjusting the water supply gradient, the crop water demand is matched according to the rate of change of the humidity gradient, ensuring the dynamic balance of water supply in the root zone and reducing water stress caused by uneven irrigation. Combined with the capillary action adjustment method, the water potential changes in the soil layer are analyzed, the water supply rate is matched, and the water transmission optimization of soils at different depths is achieved, so that the water in the root zone remains stable for a long time and the water use efficiency is improved. Based on the prediction and analysis of the transpiration rate and combined with meteorological data, the water and fertilizer supply ratio is optimized, so that the water supply and nutrient supplementation are matched with the changes in the transpiration rate, the day and night supply rhythm is accurately adjusted, and the metabolic efficiency of crops is enhanced. Through the water and fertilizer linkage optimization strategy, based on the day and night transpiration rate and nutrient absorption characteristics, the supply timing is dynamically adjusted to make the water and fertilizer supply in different growth stages more refined, avoid resource waste, and improve the scientific nature of the overall water and fertilizer management. The introduction of data analysis and optimization technology makes water and fertilizer regulation more forward-looking. By comparing historical planting data with real-time environmental information, irrigation strategies can be dynamically adjusted to make planting plans more in line with the requirements of different soil and climatic conditions, thereby improving the adaptability of water and fertilizer management. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a system flow chart of the present invention;

[0051] Figure 2 This is a flow chart of the rhizosphere pH dynamic control module of the present invention;

[0052] Figure 3 This is a flow chart of the moisture gradient supply module of the present invention;

[0053] Figure 4 This is a flow chart of the capillary moisture regulation module of the present invention;

[0054] Figure 5 This is a flow chart of the transpiration rate prediction and control module of the present invention;

[0055] Figure 6 This is a flow chart of the water-fertilizer linkage optimization module of the present invention. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0057] In the description of the present invention, it should be understood that the terms "length," "width," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0058] See also Figure 1 , an intelligent integrated water and fertilizer management system for Chinese medicinal materials planting includes:

[0059] The rhizosphere pH dynamic control module obtains pH sensor data, adjusts the ratio of acid-base neutralizing fertilizer and nutrient supplement fertilizer, and generates the root zone water and fertilizer concentration control results;

[0060] The water gradient supply module calculates the current soil moisture gradient change rate based on the root zone water and fertilizer concentration control results, compares it with the crop water demand, and adjusts the water supply rate to obtain the root zone water supply adjustment result;

[0061] The capillary water regulation module adjusts the water supply to the root zone based on the results of the water supply adjustment. It calculates the soil capillary strength at multiple depths, adjusts the water supply according to the matching degree between the water supply rate and the capillary strength, and generates the root zone water retention result.

[0062] The transpiration rate prediction and control module obtains temperature data from the meteorological station and leaf transpiration rate in the Chinese medicinal material planting base, calculates future temperature change values, adjusts the water and nutrient replenishment ratio according to the root zone water retention results, and generates transpiration prediction and control results;

[0063] The water-fertilizer linkage optimization module obtains the crop's current transpiration rate data and nutrient absorption rate data from the transpiration prediction and control results, calculates the diurnal water and fertilizer supply ratio, adjusts the water and fertilizer supply time series based on the supply ratio, and generates intelligent water and fertilizer management results for Chinese medicinal herb cultivation;

[0064] The results of root zone water and fertilizer concentration control include the root zone fertilization pH adjustment value, the fertilizer solution nutrient concentration adjustment ratio, and the root zone acid-base neutralization application amount; the root zone water supply adjustment results include the root zone water supply rate adjustment value, the root zone irrigation water distribution ratio, and the root zone water infiltration balance ratio; the root zone water retention results include the root zone water retention index, the capillary water conductivity assessment value, and the soil layer water holding capacity classification; the transpiration prediction and control results include the transpiration rate change trend, the transpiration water supplement adjustment coefficient, and the diurnal transpiration dynamic correction amount; the results of intelligent water and fertilizer management for Chinese medicinal materials cultivation include the diurnal water and fertilizer supply optimization ratio, the water and fertilizer linkage adjustment coefficient, and the crop growth cycle water and fertilizer matching index.

[0065] See also Figure 2 , the rhizosphere pH dynamic control module includes:

[0066] The pH change rate calculation submodule obtains the soil pH sensor data in the root zone of the Chinese medicinal material planting base, records the pH value at each time point, and uses the formula:

[0067]

[0068] Calculate the rhizosphere pH change rate R pH , get the pH dynamic change value;

[0069] Among them, pH t Represents the pH value of the root zone soil at time point t, in pH values. This value is obtained by measuring the pH of the root zone soil at different time points, usually using a soil pH sensor. For example, the soil pH value can be measured once every hour or every day, and this data is obtained through the sensor output. pH t-1 Represents the root zone soil pH value at time point t-1, in pH values. This is the soil pH value before time point t, usually obtained through a soil pH sensor. This value is used to compare with the current pH value to calculate the change. T represents the total length of monitoring time, in time units (usually hours or days). This value represents the total length of monitoring of soil pH changes within a certain period of time. The total length of time is calculated by defining the data collection frequency. For example, if the pH value is measured once an hour, the time difference from the first measurement point to the last measurement point is T. It represents the cumulative summation of all pH value changes within the time interval, indicating that the pH change values ​​at all time points t need to be summed up to obtain the cumulative difference in pH change in the root zone within the time period. For example, if the pH data for a week is calculated, the pH change for each hour in the week is accumulated. n represents the total number of sampling data points, and |pH t -pH t-1| represents the absolute difference between the current pH value and the previous pH value, in pH units. The absolute value is used here because we are concerned with the change in pH value, not the direction of change (i.e., increase or decrease). This difference represents the fluctuation of soil pH in the root zone between consecutive time points.

[0070] In a Chinese herbal medicine (TCM) cultivation base, the pH value of the root zone soil changes due to fertilizer application, microbial activity, and crop root secretions. To monitor these changes, the system collects real-time data from pH sensors deployed in the root zone. For example, a cultivation base may have 50 pH sensors installed, each measuring once an hour, recording 24 sets of data in a single day.

[0071] The pH value was recorded once every hour. If the monitoring period was 6 consecutive hours, the hourly pH records were: 8:00 pH = 6.5, 9:00 pH = 6.3, 10:00 pH = 6.2, 11:00 pH = 6.4, 12:00 pH = 6.1, 13:00 pH = 6.5.

[0072] formula:

[0073] Here T = 6 hours, pH t Indicates the pH value at hour t.

[0074] The pH changes in each adjacent time period were calculated as follows: |6.3-6.5|=0.2, |6.2-6.3|=0.1, |6.4-6.2|=0.2, |6.1-6.4|=0.3, |6.5-6.1|=0.4.

[0075] Find the sum of the changes: 0.2+0.1+0.2+0.3+0.4=1.2.

[0076] Calculate the pH dynamic change rate:

[0077] The results show that the dynamic change rate of pH in the root zone during the current period is 0.2 pH / h.

[0078] The rhizosphere pH dynamic threshold setting submodule obtains crop growth stage data based on the pH dynamic change value, and based on the rhizosphere pH requirement range of the crop growth stage, determines whether the pH change rate exceeds the stage change threshold, sets the rhizosphere pH dynamic threshold, and obtains the pH control target range;

[0079] Crops have different requirements for pH at different growth stages. The system first calls the crop growth stage data and determines the current stage based on the crop growth time. For example, if Scutellaria baicalensis is planted, the optimum pH range is 5.8-6.5 during its germination period (0-30 days), the suitable pH range is 6.0-6.8 during its vigorous growth period (30-90 days), and the suitable pH range is 6.2-7.0 during its maturity period (more than 90 days). After obtaining the pH dynamic change value, the system needs to determine whether the change rate exceeds the pH change rate threshold allowed at that stage. Assuming that the pH change rate threshold is set to 0.1pH / hour during the germination period of Scutellaria baicalensis, the R calculated in the previous stage is 0.1pH / hour. pH = 0.2 pH / hour, exceeding the threshold. Therefore, the system adjusts the pH control target range and sets a new dynamic pH threshold. For example, if the current measured pH value is 6.6 and the target range is 5.8-6.5, the system sets the threshold adjustment direction downward and calculates the required adjustment magnitude. To adjust the pH value to the target range, the pH deviation is first calculated. Assuming the current pH value is 6.6 and the upper limit of the target range is 6.5, the deviation is: 6.6 - 6.5 = 0.1. Next, the system sets the adjustment rate based on the buffering capacity of the root zone soil (for example, assuming a buffering capacity of 0.4). In this case, the soil's buffering capacity indicates that every 0.4 of buffering value can adjust the pH by 0.1 unit. Therefore, to lower the pH value to within 6.5, appropriate acidic fertilizers should be used to adjust the pH at a rate between 0.08 and 0.1 pH / hour. This range is determined based on a comprehensive analysis of crop needs and soil characteristics. For example, the system calculates the hourly adjustment based on the required adjustment, the needs of the crop's growth stage, and the soil's buffering capacity. Assuming an acidic fertilizer is applied that can reduce pH by 0.02 pH units per hour, if the pH value needs to be lowered from 6.6 to 6.5, it would take 0.05 hours, or about 3 minutes, to reach the desired pH range. Through this calculation process, the system can control the pH change rate to maintain it between 0.08-0.1 pH / hour to ensure that the crop's growth environment is within the ideal pH range.

[0080] The water-fertilizer ratio control submodule monitors the current rhizosphere pH value based on the pH control target interval, calculates the deviation between the current pH value and the pH control target interval, adjusts the application ratio of acid-base neutralizing fertilizer and nutrient supplement fertilizer, and obtains the root zone water and fertilizer concentration control result;

[0081] After completing the setting of the pH control target interval, the system will monitor the current rhizosphere pH value in real time and calculate its deviation from the target interval. Assuming that the current rhizosphere pH value is 6.8, and the upper limit of the target interval is 6.5, the calculated deviation value is: 6.8-6.5=0.3. Since the current pH value exceeds the upper limit of the target interval, the system needs to apply an appropriate amount of acid-adjusting fertilizer (such as ammonium sulfate) to lower the pH value. The system will call the fertilizer database, query the fertilization plan, and calculate it in combination with the soil buffering capacity. For example, when the current soil buffering capacity parameter is 0.4, the system calculates the required amount of acid-adjusting fertilizer: Based on this calculation, the system adjusts the fertilization plan, adding 0.75kg / mu of acid-regulating fertilizer and reducing the corresponding proportion of alkaline fertilizer to achieve dynamic regulation. After fertilization is completed, the system will continue to monitor changes in pH. If the adjusted pH value falls within the target range, the current water and fertilizer plan will be maintained. Otherwise, the calculation will be repeated until the pH value stabilizes within the target range.

[0082] See also Figure 3 , the moisture gradient supply module includes:

[0083] The soil moisture data acquisition submodule obtains data from soil moisture sensors at each depth in the Chinese medicinal material planting base, as well as the soil moisture value at the corresponding depth. It then classifies and summarizes the data according to the depth of sensor placement, calculates the humidity variation at adjacent time points, and correlates the humidity variation data with the root zone water and fertilizer concentration control results recorded at the corresponding time points. By comparing the matching degree between the humidity variation and the fertilization ratio, the soil moisture variation data is obtained.

[0084] The system regularly collects humidity data from soil moisture sensors deployed at different depths throughout the planting base. The sensor measurement frequency is set to once an hour. For example, sensors are deployed at depths of 20 cm, 40 cm, and 60 cm, and humidity values ​​are recorded at 8:00, 9:00, and 10:00, respectively. The acquired data may be W1 = 15%, W2 = 12%, and W3 = 10%. After the humidity data is collated, the humidity change amplitude at adjacent time points is calculated based on the time dimension, such as 15% - 12% = 3% and 12% - 10% = 2%. These humidity change data are then correlated with the water and fertilizer concentration control results at that time point to determine the impact of water and fertilizer adjustments on soil moisture changes. By comparing the relationship between humidity change trends and fertilization rates, the effect of different fertilization rates on soil moisture penetration and retention can be determined. For example, at a certain moment, when the fertilization rate is adjusted to 20%, the humidity change amplitude is 3%, while when the fertilization rate is adjusted to 30%, the humidity change amplitude is 5%, indicating that fertilization has an impact on water retention capacity, thus obtaining soil moisture change data.

[0085] The soil moisture gradient calculation submodule is based on soil moisture change data and uses the formula:

[0086]

[0087] Calculate the moisture gradient change rate G of each layer according to depth w , obtain the moisture gradient change information between each soil layer;

[0088] Among them, W i Represents the soil moisture value at depth i. This parameter is measured by a soil moisture sensor and does not require calculation. For example, humidity sensors are placed at the 20cm, 40cm, and 60cm soil layers to directly obtain the soil moisture values ​​at each depth, such as W1 = 15%, W2 = 12%, etc. i+1 represents the soil moisture value at depth i+1, D i represents the position of the soil layer at depth i. This parameter is determined by the depth of the sensor, such as 20cm, 40cm, 60cm, etc. i+1 represents the position of the soil layer at depth i+1, T1 represents the measurement time interval, which is set by the monitoring system. For example, measurements are taken at intervals of 1 hour, 6 hours, or 24 hours. n1 represents the number of soil layers, that is, the number of soil layers within the monitoring range. For example, if sensors are deployed at 20 cm, 40 cm, and 60 cm, then n1 = 3. i+1 -W i | represents the absolute value of the moisture change between adjacent soil layers and is used to characterize the degree of change in moisture content between two soil layers. For example, if W2 = 12% and W1 = 15%, then |W2-W1| = 3%, D i+1 -D i Represents the depth interval between adjacent soil layers and is used to calculate the moisture gradient. For example, if D2 = 40 cm and D1 = 20 cm, then D2-D1 = 20 cm. Represents the time normalization factor, which is used to standardize the humidity change rate. For example, if the measurement interval is 6 hours, then

[0089] The system calls the soil moisture change data and calculates the soil moisture change rate by depth. For example, the moisture change data at the depths of 20cm, 40cm, and 60cm are W1=15%, W2=12%, and W3=10%, respectively. The corresponding soil depths are D1=20cm, D2=40cm, and D3=60cm. The monitoring time interval T1=6 hours. First, the moisture change rate of adjacent soil layers is calculated:

[0090]

[0091] Then normalize and calculate the moisture gradient change rate:

[0092]

[0093] Finally, the moisture gradient change rate G is obtained w =0.0417, and then calculate the water penetration rate and compare it with the water demand of the crop. For example, the daily water requirement of the crop during the growth stage is 10 mm, and the calculated water penetration rate is equivalent to providing 8 mm of water per day, with a difference of 2 mm. The root zone water penetration deviation is then obtained for subsequent water supply adjustments.

[0094] The irrigation water supply regulation submodule calculates the difference between the current water supply and the target water demand based on the moisture gradient change information between each soil layer, uses the difference as the water supply regulation amount, adjusts the water supply rate of the irrigation equipment according to the water supply regulation amount, and obtains the root zone water supply adjustment result;

[0095] The system uses the root zone water infiltration deviation to analyze the crop water demand curve. For example, the daily water requirement of the crop at the current stage is 10 mm, while the calculated water infiltration rate is 8 mm. The water supply is insufficient, and the calculated water supply adjustment amount is 10 mm - 8 mm = 2 mm. Combined with the water supply capacity of the current irrigation equipment, assuming that the sprinkler system supplies 4 mm of water per hour, the additional water supply time is increased by 2 mm / 4 mm = 0.5 hours. The irrigation system water supply rate is adjusted to finally obtain the root zone water supply adjustment result.

[0096] See also Figure 4 , the capillary moisture regulation module includes:

[0097] The soil water potential data acquisition submodule obtains the root zone water supply adjustment results, calls the water potential sensor data deployed in each soil layer of the Chinese medicinal material planting base, and classifies it according to the soil layer depth. By calculating the water potential changes at adjacent time points, calling the root zone water supply rate data at the corresponding time points, and analyzing the changing trend between water potential and water supply rate, the soil water potential change analysis results are obtained;

[0098] The water potential sensor data installed at different depths are called to obtain the water potential values ​​of the soil layers at each depth. The sensor installation depths are set to 20 cm, 40 cm, and 60 cm respectively. Assume that in a certain monitoring, the water potential at a depth of 20 cm is -30 kPa, the water potential at a depth of 40 cm is -50 kPa, and the water potential at a depth of 60 cm is -70 kPa. These data are classified and stored, and the data at different time points are stored in a time series. For example, data are measured once at 8:00 am, 10:00 am, and 12:00 pm to form a time series data set. By calculating the water potential difference between adjacent time points, the water potential change rate within the period is obtained. The water potential change threshold is set to ±5 kPa / h. If the calculated water potential change rate is within the range of ±5 kPa / h, the change value is recorded. Otherwise, error correction is performed and the abnormal data is eliminated to avoid extreme values ​​affecting subsequent calculations, ultimately forming stable soil water potential change data.

[0099] The capillary action calculation submodule is based on the analysis results of soil water potential changes and uses the formula:

[0100]

[0101] Calculate the soil capillary strength C at depth j w,j , and obtain the capillary distribution information;

[0102] Among them, j Represents the soil water potential value at depth j, in kPa, measured by the soil water potential sensor. For example, at depths of 20 cm, 40 cm, and 60 cm, Ψ1 = -30 kPa, Ψ2 = -50 kPa, and Ψ3 = -70 kPa are obtained respectively. j Represents the soil layer position at depth j, in cm, determined by the sensor deployment depth, for example, d1 = 20 cm, K j Represents the soil hydraulic conductivity at depth j, in cm / h, which characterizes the water flow capacity of different soil layers. This value can be determined experimentally. For example, the typical hydraulic conductivity of clay loam is 0.1 cm / h, and that of sandy loam is about 1.2 cm / h. w Represents the specific gravity of water, in kPa / cm, used to convert water potential gradient into water flow gradient, generally taking the value as 0.098 kPa / cm, d j+1 -d j Represents the depth interval between adjacent soil layers in cm, for example, d2-d1=20cm, Ψ j+1 -Ψ j Represents the water potential difference between adjacent soil layers, in kPa, for example |Ψ2-Ψ1|=20kPa.

[0103] Assume that the soil water potential data for a certain Chinese medicinal material planting area is as follows: the water potential values ​​measured at depths of 20 cm, 40 cm, and 60 cm are Ψ1 = -30 kPa, Ψ2 = -50 kPa, and Ψ3 = -70 kPa, and the soil hydraulic conductivity is K1 = 0.12 cm / h and K2 = 0.08 cm / h, respectively. The capillary action strength is calculated as follows:

[0104] Calculate the capillary strength at depth 1:

[0105]

[0106] Calculate the capillary strength at depth 2:

[0107]

[0108] Finally, the capillary distribution value C is obtained w,1 =1.224cm / h, C w,2 =0.816cm / h.

[0109] The water stability assessment submodule is based on capillary action distribution information. It analyzes the matching degree between the water supply rate and the capillary action distribution value according to the root zone water supply rate, analyzes the flow trend of water in each layer of soil in the root zone, determines the water retention stability in the root zone, and obtains the root zone water retention results.

[0110] When calculating the water supply rate, call the root zone water supply regulation data and set the monitoring period to 1 hour. For example, the water supply regulation in a certain period of time is 5L / m 2 , the calculated supply rate is 5L / m 2 h. Compare the capillary action distribution value to determine water retention stability. If the supply rate is much higher than the capillary action strength, it indicates that water infiltration is too rapid, which may lead to a decrease in the water holding capacity of the underlying soil. If the supply rate is much lower than the capillary action strength, it indicates that the soil water supply is insufficient, which may affect root water absorption. This is used to calculate the root zone water retention result.

[0111] See also Figure 5 , the transpiration rate prediction and control module includes:

[0112] The temperature change calculation submodule obtains the temperature data of the weather station, the regional microclimate data, and the leaf transpiration rate sensor data using the formula:

[0113]

[0114] Calculate the temperature change value X in the specified time period in the future pred , generate future temperature change analysis results;

[0115] in, Represents the temperature data of the i1th measurement point of the current weather station data, unit: ℃, collected by the weather station sensor, The influencing factors representing regional microclimate data are measured by regional meteorological stations and microclimate monitoring systems, including parameters such as temperature, humidity, wind speed, and light intensity. After data processing, the comprehensive influencing factors are obtained. The principal component analysis (PCA) method is used to reduce the dimension of multiple microclimate factors, and the principal component with the greatest influence is obtained as the regional microclimate influencing factor. n2 represents the total number of measurement points at the current meteorological station, which is obtained by directly counting the number of measurement points deployed by the meteorological station. Represents the temperature data of the same historical time period, in degrees Celsius, which is called from the weather station historical database. For example, query the weather data of the same date and time period in the past 10 years and take the average. Represents the temperature data for the current time period, in °C, obtained through real-time monitoring at the weather station. m represents the total number of measurement points for the historical time period.

[0116] Assume that the temperature data currently measured at the weather station is: 22.5°C, 23.0°C, and 21.8°C. Assume that the regional microclimate influencing factors are: 1.0, 0.9, and 1.1, respectively. Assume that the temperature data for the same time period in history is: 21.5°C, 22.0°C, and 21.2°C. Assume that the temperature data for the current time period is: 22.5°C, 23.0°C, and 21.8°C. Assume that the total number of measurement points is: n² = 3, m = 3.

[0117] Substitute into the formula to calculate:

[0118]

[0119] The final calculated temperature change value for the specified time period in the future is 23.26℃.

[0120] The transpiration rate fluctuation judgment submodule uses the leaf transpiration rate sensor data based on the future temperature change analysis results to calculate the transpiration rate change value, determine the transpiration rate fluctuation direction, and obtain the transpiration rate change trend information;

[0121] Based on the temperature change value of 23.26℃ obtained in the above calculation, the leaf transpiration rate sensor data is called to analyze the impact of temperature change on transpiration rate. Generally speaking, transpiration rate is greatly affected by temperature. For example, in a certain plant growth environment, the transpiration rate may increase by 0.2 to 0.5mmol / m for every 1℃ increase in temperature. 2 / s. If the current ambient temperature is 22.0℃, the transpiration rate is recorded as 6.5mmol / m 2 / s, and the predicted temperature is 23.26℃, assuming that the transpiration rate may increase by 0.5mmol / m 2 / s, reaching 7.0mmol / m 2 / s. Therefore, it can be judged that the transpiration rate is on an upward trend.

[0122] The water and nutrient adjustment submodule calculates the water and nutrient replenishment ratio based on the transpiration rate change trend information and the root zone water retention results, regulates according to the replenishment ratio, and generates transpiration prediction and control results;

[0123] The transpiration rate change trend obtained above is called, and combined with the root zone water retention results, the water and nutrient replenishment ratio is calculated. For example, if the transpiration rate is on an upward trend and the root zone soil moisture content is lower than the set threshold, such as 20% (that is, the soil moisture content is within the standardized range of 0-100%, and water needs to be replenished when it is lower than 20%), then the irrigation amount needs to be increased and the volume of water replenished is calculated. If the transpiration rate increases by 0.5mmol / m 2 / s, the corresponding water evaporation rate increases by about 0.05L / m 2 / h, and the total area of ​​the planting area is 5000m 2 , then calculate the total amount of additional water as follows: V water = 0.05 × 5000 = 250L. Therefore, an additional 250L of water is required under the current circumstances. If nutrient supplementation is also considered, the amount of fertilizer to be applied is calculated based on the water supplementation ratio and the set nutrient concentration. For example, if the recommended nutrient supplementation ratio is 1g / L, the amount of nutrients to be supplemented is calculated as follows: M nutrient =1×250=250g. Finally, the transpiration prediction and regulation result is generated, that is, 250L of water supplement is added and 250g of nutrients are added at the same time to meet the plant's needs for water and nutrients.

[0124] See also Figure 6 , the water-fertilizer linkage optimization module includes:

[0125] The water and fertilizer supply ratio calculation submodule obtains the current transpiration rate data and nutrient absorption rate data of the crop based on the transpiration prediction and control results, using the formula:

[0126]

[0127] Calculate the water supply ratio R during the day and night water and the ratio of day and night fertilizer supply R nutrient , get the water and fertilizer supply ratio information;

[0128] in, Represents the transpiration rate of the crop at the i1th monitoring point, in mmol / m 2 / s, Represents the nutrient absorption rate of the crop at the i1th monitoring point, in g / m 2 / h, n3 represents the total number of current monitoring points, Represents the transpiration rate of the j1th historical monitoring point, in mmol / m 2 / s, Represents the nutrient absorption rate of the j1th historical monitoring point, in g / m 2 / h, m1 represents the total number of historical monitoring points, L day Represents the daylight hours, in h, L night Represents the night light time, in hours.

[0129] If the transpiration rate during the day is 6.8mmol / m 2 / s, 5.9mmol / m 2 / s、7.2mmol / m 2 / s; the transpiration rate at night is 3.2mmol / m 2 / s, 2.8mmol / m 2 / s、3.5mmol / m 2 / s; the nutrient absorption rate during the day is 2.5g / m 2 / h, 2.2g / m 2 / h, 2.8g / m 2 / h; the nutrient absorption rate at night was 1.2g / m 2 / h, 1.1g / m 2 / h, 1.4g / m 2 / h; the daytime illumination time is 12h, and the nighttime illumination time is 12h; the total number of monitoring points is 3, and the total number of historical monitoring points is 3.

[0130] Calculate the ratio of daytime and nighttime water supply:

[0131] Calculate the ratio of day and night fertilizer supply:

[0132] Finally, the calculation showed that the ratio of water supply during the day and night was 0.497, and the ratio of fertilizer supply during the day and night was 0.521.

[0133] The water and fertilizer supply time series adjustment submodule adjusts the water and fertilizer supply time series based on the water and fertilizer supply ratio information, referring to the diurnal cycle characteristics and the water and fertilizer demand periods of crops, and obtains the water and fertilizer supply time arrangement results;

[0134] First, the diurnal cycle characteristics are analyzed to determine the crop's water and fertilizer requirements during the day and night. For example, for certain drought-tolerant Chinese medicinal herbs, transpiration rates peak between 10:00 AM and 4:00 PM during the day, necessitating an appropriate increase in water supply during this period. However, transpiration rates are lower between 10:00 PM and 4:00 AM at night, necessitating a reduction in water supply. When calculating the water and fertilizer supply time series, the diurnal and nighttime water and fertilizer supply ratios are used to allocate water and fertilizer supply periods. For example, if daytime water supply accounts for 49.7% of the total water supply and nighttime water supply accounts for 50.3%, the daytime period can be divided into two periods (10:00 AM to 12:00 PM and 2:00 PM to 4:00 PM), while the nighttime period can be divided into two periods (10:00 PM to 00:00 AM and 2:00 AM to 4:00 AM). Furthermore, environmental parameters, such as soil moisture monitoring data, are used to further adjust water and fertilizer supply timings to align with actual growth needs, ultimately resulting in a water and fertilizer supply schedule.

[0135] The water and fertilizer management result generation submodule analyzes the water and fertilizer supply plan based on the water and fertilizer supply schedule results and the water and fertilizer resources in the planting area, and generates intelligent water and fertilizer management results for Chinese medicinal materials planting;

[0136] First, determine the available water and nutrient supply capacity within the planting area. For example, the maximum daily irrigation volume for each planting area is 5,000L, and the upper limit of nutrient solubility is 3g / L. When determining the supply plan, match the water and fertilizer supply schedule with the actual water source conditions. For example, if a plot of land requires 2,000L of water during the day, it is allocated according to two time periods, with 1,000L supplied in each period. At the same time, the amount of fertilizer applied is calculated based on nutrient solubility. For example, add 3g / L × 1,000L = 3,000g of nutrients to every 1,000L of water. Through the above calculations, the water and fertilizer supply for each period is finally determined and integrated into a complete intelligent water and fertilizer management result for Chinese medicinal material planting.

[0137] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. An intelligent integrated water and fertilizer management system for Chinese medicinal materials planting, characterized in that: The system comprises: The rhizosphere pH dynamic control module obtains pH sensor data, adjusts the ratio of acid-base neutralizing fertilizer and nutrient supplement fertilizer, and generates the root zone water and fertilizer concentration control results; The water gradient supply module calculates the current soil moisture gradient change rate based on the root zone water and fertilizer concentration control result, compares it with the crop water demand, and adjusts the water supply rate to obtain the root zone water supply adjustment result; The capillary water regulation module calculates the soil capillary strength at multiple depths based on the root zone water supply adjustment result, adjusts the water supply according to the matching degree between the water supply rate and the capillary strength, and generates a root zone water retention result; The transpiration rate prediction and control module obtains the temperature data of the meteorological station and the leaf transpiration rate in the Chinese medicinal material planting base, calculates the future temperature change value, adjusts the water and nutrient replenishment ratio according to the root zone water retention result, and generates the transpiration prediction and control result; The transpiration rate prediction and control module includes: The temperature change calculation submodule obtains the temperature data of the weather station, the regional microclimate data, and the leaf transpiration rate sensor data using the formula: ； Calculate the temperature change value for a specified time period in the future , generate future temperature change analysis results; in, Represents the current weather station data Temperature data of each measurement point, Represents the influencing factors of regional microclimate data, Represents the total number of measurement points of the current weather station, Represents the temperature data of the same historical period, Represents the temperature data for the current time period, The total number of measurement points representing data for the historical time period; The transpiration rate fluctuation judgment submodule calls the leaf transpiration rate sensor data based on the future temperature change analysis result, calculates the transpiration rate change value, judges the transpiration rate fluctuation direction, and obtains the transpiration rate change trend information; The water and nutrient adjustment submodule calculates the water and nutrient replenishment ratio based on the transpiration rate change trend information and the root zone water retention result, regulates according to the replenishment ratio, and generates a transpiration prediction and regulation result; The water-fertilizer linkage optimization module obtains the current transpiration rate data and nutrient absorption rate data of the crop from the transpiration prediction and control results, calculates the water and fertilizer supply ratio during the day and night, adjusts the water and fertilizer supply time series according to the supply ratio, and generates intelligent water and fertilizer management results for Chinese medicinal materials planting.

2. The intelligent water-fertilizer integrated management system for Chinese medicinal materials planting according to claim 1 is characterized in that: The root zone water and fertilizer concentration control results include the root zone fertilization pH adjustment value, the fertilizer solution nutrient concentration adjustment ratio, and the root zone acid-base neutralization application amount. The root zone water supply adjustment results include the root zone water supply rate adjustment value, the root zone irrigation water distribution ratio, and the root zone water infiltration balance ratio. The root zone water retention results include the root zone water retention index, the capillary water conductivity evaluation value, and the soil layer water holding capacity classification. The transpiration prediction control results include the transpiration rate change trend, the transpiration water supplement adjustment coefficient, and the diurnal transpiration dynamic correction amount. The intelligent water and fertilizer management results for Chinese medicinal materials planting include the diurnal water and fertilizer supply optimization ratio, the water and fertilizer linkage adjustment coefficient, and the crop growth cycle water and fertilizer matching index.

3. The intelligent water-fertilizer integrated management system for Chinese medicinal materials planting according to claim 2 is characterized in that: The rhizosphere pH dynamic control module includes: The pH change rate calculation submodule obtains the soil pH sensor data in the root zone of the Chinese medicinal material planting base, records the pH value at each time point, and uses the formula: ； Calculation of rhizosphere pH change rate , get the pH dynamic change value; in, Representative time point pH of the root zone soil, Representative time point pH of the root zone soil, Represents the total length of monitoring time, Represents the total number of sampled data points; The rhizosphere pH dynamic threshold setting submodule obtains crop growth stage data based on the pH dynamic change value, determines whether the pH change rate exceeds the stage change threshold based on the rhizosphere pH requirement range of the crop growth stage, sets the rhizosphere pH dynamic threshold, and obtains the pH control target interval; The water-fertilizer ratio control submodule monitors the current rhizosphere pH value based on the pH control target interval, calculates the deviation between the current pH value and the pH control target interval, adjusts the application ratio of acid-base neutralizing fertilizer and nutrient supplement fertilizer, and obtains the root zone water and fertilizer concentration control result.

4. The intelligent integrated water and fertilizer management system for Chinese medicinal materials planting according to claim 3 is characterized in that: The moisture gradient supply module includes: The soil moisture data acquisition submodule obtains data from soil moisture sensors at each depth in the Chinese medicinal material planting base, as well as the soil moisture value at the corresponding depth, and classifies and summarizes the data according to the depth of sensor layout, calculates the humidity change amplitude at adjacent time points, and associates the humidity change amplitude data with the root zone water and fertilizer concentration control results recorded at the corresponding time points. By comparing the matching degree of the humidity change amplitude with the fertilization ratio, the soil moisture change data is obtained; The soil moisture gradient calculation submodule uses the formula based on the soil moisture change data: ； Calculate the rate of change of moisture gradient in each layer by depth , obtain the moisture gradient change information between each soil layer; in, Represents depth The soil moisture value, Represents depth The soil moisture value, Represents depth The location of the soil layer, Represents depth The location of the soil layer, represents the measurement time interval, represents the number of soil layers; The irrigation water supply regulation submodule calculates the difference between the current water supply and the target water demand based on the moisture gradient change information between each soil layer, uses the difference as the water supply regulation amount, adjusts the water supply rate of the irrigation equipment according to the water supply regulation amount, and obtains the root zone water supply adjustment result.

5. The intelligent integrated water and fertilizer management system for Chinese medicinal materials planting according to claim 4 is characterized in that: The capillary action moisture regulation module comprises: The soil water potential data acquisition submodule obtains the root zone water supply adjustment result, calls the water potential sensor data arranged in each soil layer of the Chinese medicinal material planting base, and classifies it according to the depth of the soil layer. By calculating the water potential change at adjacent time points, calling the root zone water supply rate data at the corresponding time points, analyzing the change trend between water potential and water supply rate, and obtaining the soil water potential change analysis result; The capillary action calculation submodule uses the formula based on the soil water potential change analysis results: ； Calculating Depth Soil capillary strength at , and obtain the capillary distribution information; in, Represents depth The soil water potential value at Represents depth The soil layer position, Represents depth Soil hydraulic conductivity at represents the depth interval between adjacent soil layers, represents the water potential difference between adjacent soil layers, Represents the specific gravity of water; The water stability assessment submodule is based on the capillary action distribution information, analyzes the matching degree between the water supply rate and the capillary action distribution value according to the root zone water supply rate, analyzes the flow trend of water in each layer of soil in the root zone, determines the water retention stability in the root zone, and obtains the root zone water retention result.

6. The intelligent integrated water and fertilizer management system for Chinese medicinal materials planting according to claim 1 is characterized in that: The water-fertilizer linkage optimization module includes: The water and fertilizer supply ratio calculation submodule obtains the current transpiration rate data and nutrient absorption rate data of the crop based on the transpiration prediction and control results, using the formula: ， ； Calculate the ratio of water supply during the day and at night and day and night fertilizer supply ratio , get the water and fertilizer supply ratio information; in, Representative The transpiration rate of crops at each monitoring point, Representative The nutrient absorption rate of crops at each monitoring point, Represents the total number of current monitoring points, Representative The transpiration rate of the historical monitoring points, Representative The nutrient absorption rate of each historical monitoring point, Represents the total number of historical monitoring points, represents the daylight hours, represents the duration of nighttime light exposure; The water and fertilizer supply time series adjustment submodule adjusts the water and fertilizer supply time series based on the water and fertilizer supply ratio information, with reference to the diurnal cycle characteristics and the water and fertilizer demand periods of the crops, to obtain a water and fertilizer supply time arrangement result; The water and fertilizer management result generation submodule analyzes the water and fertilizer supply plan based on the water and fertilizer supply time arrangement results and the water and fertilizer resource conditions in the planting area to generate intelligent water and fertilizer management results for Chinese medicinal materials planting.

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