Intelligent water and fertilizer integrated management system for planting of traditional Chinese medicinal materials

Abstract

The invention relates to the technical field of irrigation management, in particular to an intelligent water and fertilizer integrated management system for traditional Chinese medicinal material planting. According to the invention, by accurately monitoring the dynamic change of the pH value of the soil and regulating and controlling the proportion of the acid-base neutralization fertilizer and the nutrient supplement fertilizer, a stable rhizosphere environment is formed, so that nutrient absorption is more targeted, and the influence of pH fluctuation on the growth of crops is avoided. According to a water supply gradient adjustment mode, the water demand of crops is matched according to the humidity gradient change rate, dynamic balance of water supply of the root zone is ensured, and water stress caused by uneven irrigation is reduced. By combining a capillary action adjusting mode, analyzing the water potential change of the soil layer and matching the moisture supply rate, moisture transmission optimization of soil at different depths is achieved, moisture in the root zone is kept stable for a long time, and the moisture utilization efficiency is improved. According to prediction analysis of the transpiration rate, meteorological data are combined, the water and fertilizer supply proportion is optimized, water supply and nutrient supplement are matched with changes of the transpiration rate, and the metabolic efficiency of crops is enhanced.

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 materials planting. Background Art

[0002] The field of irrigation management technology includes the scientific management and regulation of water resources during crop growth to ensure that crops can obtain appropriate water supply. The core content of this technical field involves the selection of irrigation methods, the determination of irrigation time, the precise control of water volume, and the integrated management of water and fertilizer. Modern irrigation management technology mainly relies on sensor data acquisition, flow control devices, automatic control systems, and information platforms for real-time regulation to achieve efficient use of water resources and optimize the crop growth environment.

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

[0004] Existing technologies rely on a fixed mode of soil moisture monitoring and water-fertilizer ratio allocation in water and fertilizer supply management, lacking in-depth perception of the dynamic changes in the rhizosphere environment, resulting in water and fertilizer management strategies that are too static and difficult to cope with complex planting environments. Irrigation flow control mainly relies on quantitative supply methods, and does not fully consider the role of water gradient changes, resulting in uneven water distribution between different soil layers, which can easily cause shallow water saturation, while deep roots are difficult to obtain sufficient water, affecting root development. Existing solutions have a relatively single consideration of transpiration rate, and do not adjust water and fertilizer supply strategies in combination with future meteorological trends. This may cause water supply lags or insufficient nutrient supplementation under high temperature or low humidity conditions, affecting the normal metabolic process of crops. In terms of water and fertilizer linkage optimization, most systems use a fixed supply time, and do not make precise adjustments based on the actual transpiration characteristics of crops, resulting in a low matching degree of water and fertilizer resources, making it difficult to ensure balanced supply during the growth cycle. Data analysis is mainly used for simple historical data backtracking, and has failed to form a real-time adjustment mechanism based on environmental variables. It lacks dynamic adaptability to different soil characteristics and climatic conditions, and is difficult to meet the refined management needs of complex planting 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 materials planting.

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

[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 and compares it with the crop water demand to adjust the water supply rate and obtain the root zone water supply adjustment result;

[0009] The capillary water regulation module calculates the soil capillary strength at multiple depths according to 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 supplement 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-fertilizer supply ratio during the day and night, adjusts the water-fertilizer supply time series according to the supply ratio, and generates intelligent water-fertilizer management results for Chinese medicinal materials planting.

[0012] As a further scheme 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 penetration 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 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 the crop growth stage data according to the pH dynamic change value, determines whether the pH change rate exceeds the stage change threshold based on the rhizosphere pH demand 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-fertilizer concentration control result.

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

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

[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 the depth w , get the information of moisture gradient change 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 soil layer position at depth i+1, T 1 Represents the measurement time interval, 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, takes 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 solution of the present invention, the capillary moisture regulation module comprises:

[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 according to the soil layer depth, calculates the water potential changes at adjacent time points, calls the root zone water supply rate data at the corresponding time points, analyzes the change trend between the water potential and the water supply rate, and obtains 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 action distribution information;

[0032] Among them, j represents the soil water potential at depth j, d j represents the soil layer position 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 of the water supply rate and the capillary action distribution value according to the water supply rate of the root zone, analyzes the flow trend of water in the root zone in each layer of soil, determines the water retention stability in the root zone, and obtains the water retention result of the root zone.

[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 future specified time period pred , generate future temperature change analysis results;

[0038] in, Represents the current weather station data i 1 Temperature data of each measuring point, Represents the influencing factor of regional microclimate data, n 2 Represents the total number of measurement points of the current weather station, Represents the temperature data for the same period of history, 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, performs regulation according to the replenishment ratio, and generates a transpiration prediction regulation result.

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

[0042] The water-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 ratio of water supply during the day and night, R water And the ratio of day and night fertilizer supply R nutrient , get the water and fertilizer supply ratio information;

[0045] in, Represents the i 1 The transpiration rate of crops at each monitoring point, Represents the i 1 Nutrient absorption rate of crops at each monitoring point, n 3 Represents the total number of current monitoring points, Represents the jth 1 The transpiration rate of the historical monitoring points, Represents the jth 1 Nutrient absorption rate of historical monitoring points, m 1 represents the total number of historical monitoring points, L day represents the daylight hours, Lnight represents the night light hours;

[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, and obtains the water and fertilizer supply time arrangement results;

[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 resources 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, so that nutrient absorption is more targeted and crop growth is avoided from being affected by pH fluctuations. According to the water supply gradient adjustment method, the crop water demand is matched according to the humidity gradient change rate to ensure the dynamic balance of water supply in the root zone and reduce water stress caused by uneven irrigation. Combined with the capillary action adjustment method, the water potential change of the soil layer is analyzed, the water supply rate is matched, and the water transmission optimization of soils at different depths is realized, so that the water in the root zone remains stable for a long time and the water use efficiency is improved. According to the prediction and analysis of the transpiration rate, combined with meteorological data, the water and fertilizer supply ratio is optimized, so that the water supply and nutrient supplementation are matched with the transpiration rate change, the day and night supply rhythm is accurately adjusted, and the metabolic efficiency of crops is enhanced. Through the water-fertilizer linkage optimization strategy, based on the day and night transpiration rate and nutrient absorption characteristics, the supply sequence is dynamically adjusted to make the water and fertilizer supply at 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 It is a flow chart of the moisture gradient supply module of the present invention;

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

[0054] Figure 5This 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 solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0058] See also Figure 1 , an intelligent water-fertilizer integrated 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 according to the root zone water supply adjustment result, 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 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 supplement ratio according to the root zone water retention result, and generates the transpiration prediction and control result;

[0063] 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-fertilizer supply ratio during the day and night, adjusts the water-fertilizer supply time series according to the supply ratio, and generates intelligent water-fertilizer management results for Chinese medicinal materials planting;

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

[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 value. 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 monitoring time of soil pH changes within a certain period of time. The total time length 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. 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 this 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 about the change in pH value, not the direction of change (i.e. increase or decrease). The difference represents the fluctuation of soil pH in the root zone between consecutive time points.

[0070] In a Chinese medicinal material planting base, the pH value of the root zone soil will change due to fertilizer application, microbial activity and crop root secretions. In order to monitor these changes, the system collects data in real time through pH sensors installed in the root zone. For example, a planting base is equipped with 50 pH sensors, each of which measures once per hour, and can record 24 sets of data in one day.

[0071] The pH value was collected once every hour. If the monitoring period was 6 consecutive hours, the pH records were as follows: 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] Calculate the pH change in each adjacent time period: |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, determines whether the pH change rate exceeds the stage change threshold based on the rhizosphere pH demand range during the crop growth stage, sets the rhizosphere pH dynamic threshold, and obtains the pH control target interval;

[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 optimal pH range is 5.8-6.5 during its germination period (0-30 days), the suitable pH range during the vigorous growth period (30-90 days) is 6.0-6.8, and the suitable pH range during the maturity period (more than 90 days) is 6.2-7.0. After obtaining the dynamic pH change value, the system needs to determine whether the change rate exceeds the pH change rate threshold allowed in this stage. Assuming that the pH change rate threshold is set to 0.1pH / hour during the germination period of Scutellaria baicalensis, and the R calculated in the previous stage is pH =0.2pH / hour, which exceeds the threshold. Therefore, the system needs to adjust the pH control target interval and set a new pH dynamic threshold. For example, if the current measured pH value is 6.6 and the target interval is 5.8-6.5, the threshold adjustment direction set by the system is downward, and the required adjustment amplitude is calculated. In order to adjust the pH value to the target interval, the pH deviation needs to be calculated first. Assuming that the current pH value is 6.6 and the upper limit of the target interval is 6.5, the deviation is: 6.6-6.5=0.1, and then, according to the buffering capacity of the root zone soil (for example, assuming the buffering capacity is 0.4), the system will set the adjustment rate. In this case, the buffering capacity of the soil indicates that every 0.4 buffer value can adjust the pH value by 0.1 unit. Therefore, in order to reduce the pH value to within 6.5, it is necessary to use appropriate acidic fertilizers to adjust the pH, and the adjustment rate should be controlled between 0.08-0.1pH / hour. This range is obtained after 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 growth stage, and the buffering capacity of the soil. Assuming that the acidic fertilizer applied can reduce 0.02 pH units per hour, if the pH value needs to be reduced from 6.6 to 6.5, it will 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 keep it between 0.08-0.1pH / hour to ensure that the crop growth environment is in 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-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: Mu, according to the calculation results, the system adjusts the fertilization plan, adding 0.75kg / mu of acid-adjusting fertilizer and reducing the corresponding proportion of alkaline fertilizer to achieve the effect of dynamic regulation. After fertilization is completed, the system will continue to monitor the changes in pH value. If the adjusted pH value enters 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 collection submodule obtains the data of soil moisture sensors at each depth in the Chinese medicinal material planting base, as well as the humidity value of the soil at the corresponding depth, and classifies and summarizes them 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 humidity change amplitude and fertilization ratio, the soil moisture change data is obtained;

[0084] The system collects humidity data regularly by placing soil moisture sensors at different depths in the planting base. The sensor measurement frequency is set to once an hour. For example, sensors are placed 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 data obtained may be W 1 =15%, W 2 =12%, W 3 =10%. After the humidity data are sorted out, the humidity change amplitude at adjacent time points is calculated according to the time dimension, such as 15%-12%=3%, 12%-10%=2%. Then, these humidity change data are associated with the water and fertilizer concentration control results at that time point to obtain the influence of water and fertilizer adjustment on soil moisture change. By comparing the relationship between humidity change trend and fertilization ratio, the penetration and retention effect of different fertilization amounts on soil moisture is judged. For example, at a certain moment, when the fertilization ratio is adjusted to 20%, the humidity change amplitude is 3%, and when the fertilization ratio is adjusted to 30%, the humidity change amplitude is 5%, indicating that fertilization has an impact on water retention capacity, thereby 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 the depth w , get the information of moisture gradient change 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 need to be calculated. 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 W 1 =15%, W 2 =12%, etc., W i+1 represents the soil moisture value at depth i+1, D i represents the soil layer position at depth i. This parameter is determined by the depth of the sensor deployment, such as 20 cm, 40 cm, 60 cm, etc. i+1 represents the soil layer position at depth i+1, T 1 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. 1 Represents the number of soil layers, that is, the number of soil layers within the monitoring range. For example, if the sensors are deployed at 20cm, 40cm, and 60cm, then n 1 =3,|W i+1 -W i | represents the absolute value of the moisture change between adjacent soil layers and is used to characterize the degree of moisture content change between two soil layers. For example, if W 2 =12%, W 1 =15%, then |W 2 -W 1 |=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 D 2 =40cm, D 1 =20cm, then D 2 -D 1 =20cm, 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 humidity change data at the depths of 20 cm, 40 cm, and 60 cm are W and W respectively. 1=15%, W 2 =12%, W 3 =10%, the corresponding soil depth is D 1 =20cm, D 2 =40cm, D 3 =60cm, monitoring time interval T 1 = 6 hours, first calculate the moisture change rate of adjacent soil layers:

[0090]

[0091] Then the moisture gradient change rate is normalized and calculated:

[0092]

[0093] Finally, the moisture gradient change rate G is obtained w =0.0417, 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 water gradient change information between each soil layer, takes 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 calls the root zone water penetration deviation and parses the crop water demand curve. For example, the daily water requirement of the crop at the current stage is 10mm, while the calculated water penetration rate is 8mm. The water supply is insufficient, and the calculated water supply adjustment amount is 10mm-8mm=2mm. Combined with the water supply capacity of the current irrigation equipment, assuming that the sprinkler system supplies 4mm of water per hour, it is necessary to increase the water supply time by 2mm / 4mm=0.5 hours, adjust the water supply rate of the irrigation system, and 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 collection submodule obtains the root zone water supply adjustment results, calls the water potential sensor data arranged in each soil layer of the Chinese medicinal material planting base, and classifies them 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, the change trend between water potential and water supply rate is analyzed, and the soil water potential change analysis results are obtained;

[0098] The water potential sensor data arranged at different depths are called to obtain the water potential value of each depth of soil layer. The sensor installation depths are set to 20cm, 40cm, and 60cm respectively. Assume that in a certain monitoring, the water potential at a depth of 20cm is -30kPa, the water potential at a depth of 40cm is -50kPa, and the water potential at a depth of 60cm is -70kPa. These data are classified and stored, and the data at different time points are stored in a time series. For example, the data are measured once at 8:00, 10:00, and 12:00 in the morning to form a time series data set. The water potential change rate within the period is obtained by calculating the water potential difference between adjacent time points. The water potential change threshold is set to ±5kPa / h. If the calculated water potential change rate is within the range of ±5kPa / h, the change value is recorded. Otherwise, error correction is performed to eliminate abnormal data to avoid extreme values ​​affecting subsequent calculations, and finally form 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 action 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, Ψ is obtained at depths of 20 cm, 40 cm, and 60 cm respectively. 1 =-30kPa, Ψ 2 =-50kPa,Ψ 3 =-70kPa,d j Represents the soil layer position at depth j, in cm, determined by the sensor deployment depth, e.g. d 1 =20cm, 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 takes a value of 0.098 kPa / cm, d j+1 -d j Represents the depth interval between adjacent soil layers in cm, e.g. d 2 -d 1 =20cm,Ψ j+1 -Ψ j Represents the water potential difference between adjacent soil layers, in kPa, for example |Ψ 2 -Ψ1 |=20kPa.

[0103] Assume that the soil water potential data of a Chinese medicinal material planting area is as follows: the water potential values ​​measured at depths of 20cm, 40cm, and 60cm are Ψ 1 =-30kPa, Ψ 2 =-50kPa,Ψ 3 =-70kPa, soil hydraulic conductivity is K 1 =0.12cm / h, K 2 =0.08cm / h, the capillary 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 the capillary distribution information. It analyzes the matching degree between the water supply rate and the capillary distribution value according to the water supply rate in the root zone, 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 water retention results in the root zone.

[0110] When calculating the water supply rate, call the root zone water supply adjustment data and set the monitoring period to 1 hour. For example, the water supply adjustment volume 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 judge the water retention stability. If the supply rate is much higher than the capillary action strength, it indicates that the water infiltration is too fast, which may lead to a decrease in the water retention capacity of the lower 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 the root water absorption. The root zone water retention result is calculated based on this.

[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 future specified time period pred , generate future temperature change analysis results;

[0115] in, Represents the current weather station data i 1 The temperature data of each measurement point, in degrees Celsius, is collected by the weather station sensor. The influencing factors representing the 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 obtain the principal component with the greatest influence as the regional microclimate influencing factor. 2 Represents the total number of measurement points of the current weather station, which is obtained by directly counting the number of measurement points deployed by the weather station. Represents the temperature data of the same historical time period, in degrees Celsius, which is called through 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 of the current time period, unit: ℃, obtained through real-time monitoring of the weather station, and m represents the total number of measurement points of the historical time period data.

[0116] Assume that the temperature data measured by the current weather station is: 22.5℃, 23.0℃ and 21.8℃. Assume that the regional microclimate influencing factors are: 1.0, 0.9 and 1.1. Assume that the temperature data of the same time period in history is: 21.5℃, 22.0℃ and 21.2℃. Assume that the temperature data of the current time period is: 22.5℃, 23.0℃ and 21.8℃. Assume that the total number of measurement points is: n 2 =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 calls the leaf transpiration rate sensor data based on the future temperature change analysis results, calculates the transpiration rate change value, determines the transpiration rate fluctuation direction, and obtains the transpiration rate change trend information;

[0121] Based on the temperature change value of 23.26℃ obtained by 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 regulation results;

[0123] The transpiration rate change trend obtained above is called, combined with the root zone water retention results, to calculate the water and nutrient replenishment ratio. For example, if the transpiration rate is on an upward trend and the soil moisture content in the root zone 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 replenishment is required when it is lower than 20%), then the irrigation amount needs to be increased and the volume of replenished water is calculated. If the transpiration rate increases by 0.5mmol / m 2 / s, the corresponding water evaporation increases by about 0.05L / m 2 / h, and the total planting area is 5000m 2 , then the total amount of additional water is calculated as follows: V water =0.05×5000=250L, so we know that 250L of water is needed in the current situation. If nutrient supplementation is also considered, the amount of fertilizer is calculated according to the water supplement ratio and the set nutrient concentration. For example, if the recommended nutrient supplement 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 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-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 ratio of water supply during the day and night, R water And the ratio of day and night fertilizer supply R nutrient , get the water and fertilizer supply ratio information;

[0128] in, Represents the i1 The transpiration rate of crops at each monitoring point, in mmol / m 2 / s, Represents the i 1 Nutrient absorption rate of crops at each monitoring point, in g / m 2 / h,n 3 Represents the total number of current monitoring points, Represents the jth 1 The transpiration rate of each historical monitoring point is in mmol / m 2 / s, Represents the jth 1 Nutrient absorption rate of historical monitoring points, in g / m 2 / h,m 1 represents the total number of historical monitoring points, L day Represents the daylight duration, in h, L night Represents the night light duration, in h.

[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 is 1.2g / m 2 / h, 1.1g / m 2 / h, 1.4g / m 2 / h; the daytime lighting time is 12h, and the nighttime lighting 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 day and night 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 characteristics of the diurnal cycle and the water and fertilizer demand periods of crops, and obtains the water and fertilizer supply time arrangement results;

[0134] First, analyze the characteristics of the diurnal cycle and determine the water and fertilizer demand periods of crops during the day and night. For example, for a certain type of drought-resistant Chinese medicinal materials, the transpiration rate reaches a peak during the daytime from 10:00 to 16:00, so the water supply needs to be appropriately increased during this period, while the transpiration rate is low during the night from 22:00 to 04:00, so the water supply needs to be reduced. When calculating the water and fertilizer supply time series, the water and fertilizer supply period is allocated in combination with the water and fertilizer supply ratio during the day and night. For example, if the water supply during the day accounts for 49.7% of the total water supply, and the night accounts for 50.3%, the daytime can be divided into 2 periods (10:00-12:00 and 14:00-16:00), and the night is arranged in 2 periods (22:00-00:00 and 02:00-04:00). At the same time, combined with environmental parameters such as soil moisture monitoring data, the water and fertilizer supply time is further adjusted to meet the actual growth needs, and finally the water and fertilizer supply time schedule is obtained.

[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 source and nutrient supply capacity in the planting area. For example, the maximum daily irrigation volume of each planting area is 5000L, 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 needs to supply 2000L of water during the day, it is distributed in two periods, with 1000L supplied in each period. At the same time, the amount of fertilizer is calculated according to the nutrient solubility. For example, 3g / L×1000L=3000g of nutrients are added to every 1000L 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 materials planting.

[0137] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope 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 and compares it with the crop water demand to adjust the water supply rate and obtain the root zone water supply adjustment result; The capillary water regulation module calculates the soil capillary strength at multiple depths according to 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 supplement ratio according to the root zone water retention result, and generates the transpiration prediction and control 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-fertilizer supply ratio during the day and night, adjusts the water-fertilizer supply time series according to the supply ratio, and generates intelligent water-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 penetration 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 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 comprises: 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: Calculate the rhizosphere pH change rate R pH , get the pH dynamic change value; 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; The rhizosphere pH dynamic threshold setting submodule obtains the crop growth stage data according to the pH dynamic change value, determines whether the pH change rate exceeds the stage change threshold based on the rhizosphere pH demand 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-fertilizer concentration control result.

4. The intelligent water-fertilizer integrated management system for Chinese medicinal materials planting according to claim 3 is characterized in that: The moisture gradient supply module comprises: The soil moisture data collection submodule obtains the data of the soil moisture sensor at each depth in the Chinese medicinal material planting base, as well as the humidity value of the soil at the corresponding depth, and classifies and summarizes the data according to the sensor layout depth, calculates the humidity change amplitude at adjacent time points, and associates the humidity change amplitude data with the water and fertilizer concentration control results of the root zone recorded at the corresponding time point, and obtains the soil moisture change data by comparing the matching degree of the humidity change amplitude and the fertilization ratio; The soil moisture gradient calculation submodule uses the formula based on the soil moisture change data: Calculate the moisture gradient change rate G of each layer according to the depth w , get the information of moisture gradient change between each soil layer; 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; 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, takes 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 water-fertilizer integrated 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 according to the soil layer depth, calculates the water potential changes at adjacent time points, calls the root zone water supply rate data at the corresponding time points, analyzes the change trend between the water potential and the water supply rate, and obtains the soil water potential change analysis result; The capillary action calculation submodule adopts the formula based on the soil water potential change analysis results: Calculate the soil capillary strength C at depth j w,j , and obtain the capillary action distribution information; Among them, j represents the soil water potential at depth j, d j represents the soil layer position 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; The water stability assessment submodule is based on the capillary action distribution information, analyzes the matching degree of the water supply rate and the capillary action distribution value according to the water supply rate of the root zone, analyzes the flow trend of water in the root zone in each layer of soil, determines the water retention stability in the root zone, and obtains the water retention result of the root zone.

6. The intelligent water-fertilizer integrated management system for Chinese medicinal materials planting according to claim 5 is characterized in that: 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 X in the future specified time period pred , generate future temperature change analysis results; 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 meteorological station, Represents the temperature data for the same period of history, represents the temperature data of the current time period, and m represents the total number of measurement points of the historical time period data; 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 regulation result.

7. The intelligent water-fertilizer integrated management system for Chinese medicinal materials planting according to claim 6 is characterized in that: The water-fertilizer linkage optimization module includes: The water-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, R water And the ratio of day and night fertilizer supply R nutrient , get the water and fertilizer supply ratio information; 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 night light hours; 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, and obtains the water and fertilizer supply time arrangement results; 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 resources in the planting area to generate intelligent water and fertilizer management results for Chinese medicinal materials planting.

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