A dynamic sensing system for water requirement of cranberry and method thereof

Abstract

The present application belongs to the field of agricultural technology, and in particular to a dynamic induction system for water requirement of cranberry and a method thereof. The existing traditional irrigation method is often based on a fixed schedule or simple soil moisture measurement, which cannot accurately reflect the actual water requirement of cranberry in time, easily leading to insufficient irrigation or over-irrigation, wasting water resources and affecting the growth and yield of cranberry. The present application includes a monitoring module: stem flow rate, leaf water potential, soil water content at different depths and positions, and air temperature and humidity, light intensity and wind speed data of cranberry; a data acquisition module: collecting stem flow rate and leaf water potential of cranberry. The present application can realize accurate monitoring, real-time evaluation and scientific prediction of the water requirement of cranberry, and further guide reasonable irrigation decision and environmental regulation, improve irrigation efficiency and water resource utilization efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of agriculture, in particular to a dynamic induction system for water requirement of cranberry and a method thereof. BACKGROUND

[0002] Cranberry is a kind of high economic value berry crop, and water management is crucial during its growth. The dynamic induction system for water requirement of cranberry is a system that can monitor and accurately irrigate in real time according to the water requirement of cranberry during its growth.

[0003] Traditional irrigation methods are often based on fixed schedules or simple soil moisture measurements, which cannot accurately reflect the actual water requirement of cranberry in a timely manner, leading to insufficient or excessive irrigation, wasting water resources and affecting the growth and yield of cranberry. Therefore, the present application provides a dynamic induction system for water requirement of cranberry and a method thereof to solve the above problems. SUMMARY

[0004] The present application aims to solve the problem of traditional irrigation methods based on fixed schedules or simple soil moisture measurements, which cannot accurately reflect the actual water requirement of cranberry in a timely manner, leading to insufficient or excessive irrigation, wasting water resources and affecting the growth and yield of cranberry. The present application provides a dynamic induction system for water requirement of cranberry and a method thereof.

[0005] The present application provides a dynamic induction system for water requirement of cranberry and a method thereof, which adopts the following technical solution:

[0006] In a first aspect, the present application provides a dynamic induction system for water requirement of cranberry, comprising:

[0007] The monitoring module monitors the stem flow rate, leaf water potential, soil moisture content at different depths and positions, and air temperature and humidity, light intensity and wind speed data of cranberry;

[0008] The data acquisition module acquires the stem flow rate, leaf water potential, soil moisture content at different depths and positions, and air temperature and humidity, light intensity and wind speed data of cranberry, and transmits the acquired data to the data processing module;

[0009] The data processing module and data integration module fuse and process the acquired data, use data analysis algorithms, and establish a mathematical model between the water requirement of cranberry and the stem flow rate, leaf water potential, soil moisture content and meteorological environmental factors;

[0010] The calculation module calculates and predicts the immediate water requirement of cranberry and the water requirement trend in the future period of time through the model;

[0011] A dynamic evaluation module is connected with the calculation module, the dynamic evaluation module is connected with a warning module, the warning module is connected with an irrigation control module and a device control module, the irrigation control module is connected with an analysis and prediction module, the analysis and prediction module is connected with a meteorological data acquisition module, the irrigation control module is connected with a disease and pest control module, and the disease and pest control module is connected with a growth trend evaluation module.

[0012] Further, the monitoring module comprises a plant physiology monitoring unit, a soil moisture monitoring unit and a meteorological environment monitoring unit, the plant physiology monitoring unit is used for real-time monitoring of stem flow rate and leaf water potential, the soil moisture monitoring unit is used for real-time monitoring of soil water content at different depths and positions, and the meteorological environment monitoring unit is used for monitoring meteorological environment parameters in the plantation.

[0013] Further, the data processing module comprises a data arrangement unit, a data storage unit and a data analysis unit, the data arrangement unit is connected with the data storage unit, and the data storage unit is connected with the data analysis unit.

[0014] Further, the warning module comprises a judgment unit, a warning information generating unit and an audible and light alarm unit, the judgment unit is connected with the warning information generating unit, and the warning information generating unit is connected with the audible and light alarm unit.

[0015] Further, the meteorological data acquisition module comprises a network access unit, a data acquisition unit and a data transmission unit, the network access unit is connected with the data acquisition unit, and the data acquisition unit is connected with the data transmission unit.

[0016] Further, the device control module comprises a driving unit, a sun-shading device unit and a ventilation device unit, the driving unit is connected with the sun-shading device unit, and the sun-shading device unit is connected with the ventilation device unit.

[0017] Further, the plant physiology monitoring unit comprises a stem flow sensor and a leaf water potential sensor, the soil moisture monitoring unit comprises a plurality of soil moisture sensors, and the meteorological environment monitoring unit comprises a temperature and humidity sensor, an illumination sensor and a wind speed sensor.

[0018] In the second aspect, the application provides a use method of the cranberry water demand dynamic induction system, wherein the cranberry water demand dynamic induction system is the cranberry water demand dynamic induction system described above, and the use method comprises the following steps:

[0019] S1: In the cranberry plantation, install stem flow sensors, leaf water potential sensors at reasonable spacing and depth to monitor stem flow rate and leaf water potential in real time, form a plant physiology monitoring unit, bury multiple soil moisture sensors at different depths and locations to form a soil moisture monitoring unit to monitor soil water content in real time, install temperature and humidity sensors, light sensors and wind speed sensors to form a meteorological environment monitoring unit to monitor air temperature and humidity, light intensity and wind speed data in the plantation, the data acquisition module collects sensor data at a set frequency, such as every 10-30 minutes, including stem flow rate, leaf water potential, soil water content at different depths and locations, and air temperature and humidity, light intensity and wind speed data, and the collected data is transmitted to the data processing module through wireless communication technology;

[0020] S2: The data processing module includes a data cleaning unit that cleans, calibrates and converts units of the collected data, removes outliers and incorrect data, stores the processed data in the data storage unit to ensure data integrity and traceability, and a data analysis unit that uses data analysis algorithms to fuse the stored data and establish a mathematical model between cranberry water requirement and stem flow rate, leaf water potential, soil water content and meteorological environmental factors, and builds a water requirement prediction model through multiple linear regression and neural network methods;

[0021] S3: The calculation module calculates the instantaneous water requirement of cranberry based on the established mathematical model and the current collected monitoring data, and predicts the water requirement trend in the future period of time according to historical data and trend analysis;

[0022] Instantaneous water requirement calculation formula

[0023] Comprehensive water requirement calculation formula based on plant physiology, soil moisture and meteorological environmental factors: W plant

[0024] = W0+ K1×(W stem -W0)+ K2×(W leaf -W0)+ K3×(

[0025] W soil -W0)+ K4×(W climate -W0)

[0026] In the formula: W plant : Instantaneous water requirement calculated based on plant comprehensive factors; W0: Basic water requirement, which can be determined according to historical data and experience, and in the initial calculation stage, the average water requirement under the same environmental conditions in the previous stage can be taken, and with the continuous correction and optimization of the model, the value will be dynamically adjusted;

[0027] W stem: Water requirement based on stem flow rate, the calculation formula is:

[0028]

[0029] Wherein, V is the stem flow rate collected at the current time, V0 is the reference stem flow rate (can be selected as the average value of stem flow rate at noon on sunny day in the growing season), α is the conversion factor between stem flow rate and water requirement, which can be determined according to the experiment calibration, generally between 0.5-1.5; β is the relationship index between stem flow rate and water requirement, usually 1.2-2.0, reflecting the influence degree of stem flow rate change on water requirement;

[0030] W leaf : Water requirement based on leaf water potential, the calculation formula is:

[0031] W leaf = γ × (WP0-WP current )

[0032] Wherein, WP0 is the reference value of leaf water potential (usually take the average water potential of well-grown and water-sufficient leaves), WP current is the leaf water potential collected at the current time, γ is the conversion factor between leaf water potential difference and water requirement, generally between 0.1-0.3;

[0033] W soil : Water requirement based on soil moisture, the calculation formula is:

[0034]

[0035] SWC fc is the soil field capacity, SWC current is the soil moisture content collected at the current time, SWC wp is the soil wilting coefficient, θ is the weight coefficient of soil water deficit degree and water requirement, generally 0.3-0.6;

[0036] W climate : Water requirement based on meteorological environmental factors, the calculation formula is:

[0037] W climate = δ × (T+H+I+F)

[0038] Wherein, T is temperature factor (when the temperature rises, transpiration is strengthened, water requirement increases, the value range is 0-1), H is humidity factor (when the relative humidity decreases, transpiration is strengthened, water requirement increases, the value range is 0-1), I is light factor (when the light intensity increases, photosynthesis and transpiration are accelerated, water requirement increases, the value range is 0-1), F is wind speed factor (when the wind speed increases, the transpiration rate is accelerated, water requirement increases, the value range is 0-1), δ is the comprehensive influence coefficient of meteorological environment, generally 0.05-0.2;K1, K2, K3, K4: respectively, the weight coefficient of stem flow rate, leaf water potential, soil moisture, meteorological environmental factor, the value range is between 0-1, and K1+K2+K3+K4=1, the weight coefficient can be determined according to different growth stages and planting density and other factors, for example, in the vigorous growth period, the influence of stem flow rate and leaf water potential on water requirement is larger, the value of K1 and K2 can be appropriately increased;

[0039] Determination of irrigation threshold

[0040] Dynamic adjustment formula of irrigation threshold:

[0041] W threshold = W threshold_ase ×(1+K5×D+K6×S+k7×G+K8

[0042] ×C)

[0043] In the formula: W threshold : dynamic adjusted irrigation threshold; W threshold_base : basic irrigation threshold, which can be determined according to the cranberry variety, soil type and traditional irrigation experience, generally between 0.5-1.5 times of the maximum daily water requirement of crops;D: growth stage factor (0-1), different values are taken in different growth stages, such as 0.2-0.3 in germination period, 0.5-0.6 in flowering period, 0.7-0.8 in fruit growth period, and 0.4-0.5 in mature period, to reflect the change of water requirement in different stages;S: planting density factor (0-1), the value increases with the increase of planting density, generally 0.1-0.4, reflecting the influence of planting density on water requirement;G: soil texture factor (0-1), different soil textures have different water retention, for sandy soil, 0.1-0.2 can be taken, for loamy soil, 0.3-0.4 can be taken, and for clay soil, 0.4-0.5 can be taken, to correct the difference of water requirement under different soil conditions;C: climate adjustment factor (0-1), which is adjusted according to the change of climate conditions, such as 0.2-0.3 in dry years or seasons, and 0-0.1 in humid years or seasons, to adapt to the influence of climate fluctuation on water requirement;K5, K6, K7, K8: adjustment coefficients of growth stage, planting density, soil texture and climate condition respectively, the value range is between 0-1, which can be calibrated and optimized according to the actual planting situation and historical data, to improve the accuracy of irrigation threshold.

[0044] S4: The dynamic evaluation module connects with the calculation module to obtain real-time water demand and water demand trend information. It compares the calculated real-time water demand with the preset irrigation threshold to determine the water demand status. When the real-time water demand approaches or exceeds the irrigation threshold, the judgment unit in the early warning module triggers an early warning, the early warning information generation unit generates an early warning information, and the sound and light alarm unit issues an audible and visual warning on site. At the same time, it sends an early warning notification to the remote monitoring platform or the mobile device of the management personnel. After receiving the early warning information, the irrigation control module formulates an irrigation decision based on the real-time water demand, water demand trend, and soil moisture content, combined with the preset irrigation strategy. This includes determining parameters such as the start time, duration, and irrigation volume of irrigation. The irrigation control module sends a control signal to the irrigation equipment to start the irrigation equipment, such as a drip irrigation system or a micro-sprinkler irrigation system, and performs irrigation operations according to the set irrigation parameters.

[0045] When the calculated instantaneous water demand W plant With irrigation threshold W threshold When making comparisons, in addition to simply determining whether irrigation should be carried out based on whether the threshold is exceeded, a water demand early warning mechanism and a fine-grained irrigation control strategy can be further introduced:

[0046] Early warning mechanism: When W plant Approaching W threshold At times (e.g., at 0.8W) threshold (Above) The system issues an early warning signal to remind managers to pay attention to the water requirements of cranberries and prepare for irrigation. The early warning information can be sent via mobile APP, SMS or on-site sound and light alarm, so that timely measures can be taken to avoid adverse effects on cranberry growth due to water shortage.

[0047] Fine-tuning of irrigation volume: when W plant More than W threshold At that time, the irrigation amount is determined based on the degree of excess, for example, when At this time, perform small-scale irrigation to replenish only part of the soil's water deficit, restoring the soil moisture content to about 70%-80% of field capacity; when At that time, appropriate irrigation should be carried out to raise the soil moisture content to 85%-90% of field capacity; when When irrigation is necessary, sufficient water should be irrigated to bring the soil moisture content close to the field capacity. However, over-irrigation should be avoided to prevent waterlogging, which can affect the growth of cranberry roots. At the same time, the timing and amount of the next irrigation should be dynamically adjusted based on changes in soil moisture after irrigation to achieve precision irrigation and efficient use of water resources.

[0048] According to meteorological environment data, when the light intensity is too high or the temperature is too high, the driving unit in the equipment control module controls the sunshade equipment unit to unfold the sunshade curtain, and the ventilation equipment unit starts the fan to ventilate and cool down, so as to create a suitable growth environment for the cranberry. At the same time, the network access unit in the meteorological data acquisition module is connected to the meteorological data network, and the data acquisition unit acquires the local meteorological forecast information from the network, including rainfall, temperature, humidity and other data in the future period of time. The analysis and prediction module analyzes the acquired meteorological data, predicts the influence of rainfall and other meteorological conditions on the water requirement of the cranberry, and adjusts the irrigation plan in advance according to the meteorological prediction result. If it is predicted to rain, the irrigation amount is delayed or reduced, and if it is predicted to be continuous drought, the irrigation frequency and amount are increased.

[0049] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize the steps of the method for using the cranberry water requirement dynamic sensing system.

[0050] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the method for using the cranberry water requirement dynamic sensing system.

[0051] In summary, the present application has at least one of the following beneficial technical effects:

[0052] 1. The present application can comprehensively and accurately grasp the actual water requirement of the cranberry by monitoring the stem flow rate, leaf water potential, soil water content at different depths and positions, and meteorological environment parameters, avoiding the blindness of the traditional irrigation method, and making targeted irrigation decision, so that the irrigation water amount is more suitable for the growth demand of the cranberry, and the deviation of the irrigation water amount is reduced.

[0053] 2. According to the established mathematical model, the present application calculates the instant water requirement combined with real-time data, and predicts the future water requirement trend, so as to plan the irrigation arrangement in advance, better meet the water requirement of the cranberry under different growth stages and environmental changes, and significantly improve the irrigation accuracy compared with the irrigation method relying on experience or fixed cycle.

[0054] 3. The present application can accurately judge the water requirement state, and only start irrigation when the cranberry really needs irrigation, and the instant water requirement is close to or exceeds the irrigation threshold adjusted dynamically, so as to prevent water resource waste caused by excessive irrigation, reduce root diseases caused by soil waterlogging, and benefit the healthy growth of the cranberry.

[0055] The present application can realize accurate monitoring, real-time evaluation and scientific prediction of the water requirement of the cranberry, and then guide reasonable irrigation decision and environmental regulation, improve irrigation efficiency and water resource utilization efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 A structural block diagram of a cranberry water demand dynamic sensing system is proposed in the present application;

[0057] Figure 2 A structural block diagram of a monitoring module of a cranberry water demand dynamic sensing system is proposed in the present application;

[0058] Figure 3 A structural block diagram of a data processing module of a cranberry water demand dynamic sensing system is proposed in the present application;

[0059] Figure 4 A structural block diagram of a warning module of a cranberry water demand dynamic sensing system is proposed in the present application;

[0060] Figure 5 A structural block diagram of a meteorological data acquisition module of a cranberry water demand dynamic sensing system is proposed in the present application;

[0061] Figure 6 A structural block diagram of a device control module of a cranberry water demand dynamic sensing system is proposed in the present application;

[0062] Figure 7 A structural block diagram of a plant physiological monitoring unit of a cranberry water demand dynamic sensing system is proposed in the present application;

[0063] Figure 8 A structural block diagram of a soil moisture monitoring unit of a cranberry water demand dynamic sensing system is proposed in the present application;

[0064] Figure 9 A structural block diagram of a meteorological environment monitoring unit of a cranberry water demand dynamic sensing system is proposed in the present application;

[0065] Figure 10 A structural flow chart of a method for using a cranberry water demand dynamic sensing system is proposed in the present application. DETAILED DESCRIPTION

[0066] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all.

[0067] Embodiment one

[0068] Reference Figures 1-9 A cranberry water demand dynamic sensing system, comprising:

[0069] Monitoring module: stem flow rate, leaf water potential, soil water content at different depths and locations, and air temperature and humidity, light intensity, and wind speed data of cranberry;

[0070] Data acquisition module: collect stem flow rate, leaf water potential, soil water content at different depths and locations, and air temperature and humidity, light intensity, and wind speed data of cranberry, and transmit the collected data to the data processing module;

[0071] Data processing module and data integration module: fuse and process the collected various types of data, use data analysis algorithm, and establish mathematical model between cranberry water requirement and stem flow rate, leaf water potential, soil water content, and meteorological environmental factors;

[0072] Calculation module: calculate and predict the immediate water requirement and water requirement trend of cranberry in a period of time in the future through the model;

[0073] The dynamic evaluation module is connected with the calculation module, the dynamic evaluation module is connected with the early warning module, the early warning module is connected with the irrigation control module and the equipment control module, the irrigation control module is connected with the analysis and prediction module, the analysis and prediction module is connected with the meteorological data acquisition module, the irrigation control module is connected with the pest control module, the pest control module is connected with the growth trend evaluation module, the pest control module uses image recognition technology and sensors to monitor the appearance characteristics and physiological state changes of the cranberry plants, such as leaf color, shape abnormalities, etc., and timely discovers signs of diseases and pests, and once diseases and pests are found, the system can automatically link related disease and pest control equipment, such as sprayers, etc., to carry out precise control operations, reduce the impact of diseases and pests on cranberry growth, and feed back the disease and pest information to the management personnel for further measures, the growth trend evaluation module establishes a cranberry growth trend evaluation model through long-term accumulation and analysis of monitoring data, comprehensively considers factors such as stem flow rate, leaf water potential, and soil moisture content, and evaluates the growth status of cranberry in real time, such as good growth, slow growth, and growth obstruction, and feeds back the evaluation results to the grower to help him better understand the growth of cranberry and timely adjust planting management strategies such as fertilization and pruning to promote the healthy growth of cranberry, the monitoring module includes a plant physiology monitoring unit, a soil moisture monitoring unit, and a meteorological environment monitoring unit, the plant physiology monitoring unit is used to monitor the stem flow rate and leaf water potential in real time, the soil moisture monitoring unit is used to monitor the soil moisture content at different depths and positions in real time, and the meteorological environment monitoring unit is used to monitor the meteorological environmental parameters in the plantation, the data processing module includes a data arrangement unit, a data storage unit, and a data analysis unit, the data arrangement unit is connected with the data storage unit, the data storage unit is connected with the data analysis unit, the early warning module includes a judgment unit, a warning information generating unit, and an audible and visual alarm unit, the judgment unit is connected with the warning information generating unit, the warning information generating unit is connected with the audible and visual alarm unit, the meteorological data acquisition module includes a network access unit, a data acquisition unit, and a data transmission unit, the network access unit and the data acquisition unit are connected, the data acquisition unit and the data transmission unit are connected, the equipment control module includes a driving unit, a sunshade device unit, and a ventilation device unit, the driving unit is connected with the sunshade device unit, the sunshade device unit is connected with the ventilation device unit, the plant physiology monitoring unit includes a stem flow sensor and a leaf water potential sensor, the soil moisture monitoring unit includes a plurality of soil moisture sensors, and the meteorological environment monitoring unit includes a temperature and humidity sensor, a light sensor, and a wind speed sensor.

[0074] Referring to Figure 10 The present embodiment provides a use method of a cranberry water demand dynamic sensing system, the cranberry water demand dynamic sensing system being the cranberry water demand dynamic sensing system described above, and the use method comprising the following steps:

[0075] S1: In the cranberry plantation, install stem flow sensors, leaf water potential sensors at reasonable spacing and depth to monitor stem flow rate and leaf water potential in real time, form a plant physiology monitoring unit, bury multiple soil moisture sensors at different depths and locations to form a soil moisture monitoring unit to monitor soil water content in real time, install temperature and humidity sensors, light sensors and wind speed sensors to form a meteorological environment monitoring unit to monitor air temperature and humidity, light intensity and wind speed data in the plantation, the data acquisition module collects sensor data at a set frequency, such as every 10-30 minutes, including stem flow rate, leaf water potential, soil water content at different depths and locations, and air temperature and humidity, light intensity and wind speed data, and the collected data is transmitted to the data processing module through wireless communication technology;

[0076] S2: The data processing module includes a data processing unit that cleans, calibrates and converts units of the collected data, removes outliers and incorrect data, stores the processed data in the data storage unit to ensure data integrity and traceability, and a data analysis unit that uses data analysis algorithms to fuse the stored data and establish a mathematical model between cranberry water requirement and stem flow rate, leaf water potential, soil water content and meteorological environmental factors, and build a water requirement prediction model through multiple linear regression and neural network methods;

[0077] S3: The calculation module calculates the instantaneous water requirement of cranberry based on the established mathematical model and the current collected monitoring data, and predicts the water requirement trend in the future period of time according to historical data and trend analysis;

[0078] Instantaneous water requirement calculation formula

[0079] Comprehensive water requirement calculation formula based on plant physiology, soil moisture and meteorological environmental factors:

[0080] W plant

[0081] =W0+K1×(W stem -W0)+K2×(W leaf -W0)+K3×(

[0082] W soil -W0)+K4×(W climate -W0)

[0083] In the formula: W plant : Instantaneous water requirement calculated based on plant comprehensive factors; W0: Basic water requirement, which can be determined according to historical data and experience, and in the initial calculation stage, the average water requirement under the same environmental conditions in the previous stage can be taken, and with the continuous correction and optimization of the model, the value will be dynamically adjusted;

[0084] Wstem : Water requirement based on stem flow rate, the calculation formula is:

[0085]

[0086] Wherein, V is the stem flow rate collected at the current time, V0 is the reference stem flow rate (the average value of stem flow rate at noon on sunny days in the growing season can be selected), a is the conversion coefficient between stem flow rate and water requirement, which can be determined according to the experiment calibration, generally between 0.5-1.5; β is the relationship index of stem flow rate and water requirement, usually 1.2-2.0, reflecting the influence degree of stem flow rate change on water requirement;

[0087] W leaf : Water requirement based on leaf water potential, the calculation formula is:

[0088] W leaf = γ × (WP0-WP current )

[0089] Wherein, WP0 is the reference value of leaf water potential (usually the average water potential of well-grown and water-sufficient leaves), WP current is the leaf water potential collected at the current time, γ is the conversion coefficient between leaf water potential difference and water requirement, generally between 0.1-0.3;

[0090] W soil : Water requirement based on soil moisture, the calculation formula is:

[0091]

[0092] SWC fc is the soil field capacity, SWC current is the soil moisture content collected at the current time, SWC wp is the soil wilting coefficient, θ is the weight coefficient of soil water deficit degree and water requirement, generally 0.3-0.6;

[0093] W climate : Water requirement based on meteorological environmental factors, the calculation formula is:

[0094] W climate = δ × (T + H + I + F)

[0095] Wherein, T is temperature factor (when the temperature rises, transpiration is strengthened, water requirement increases, the value range is 0-1), H is humidity factor (when the relative humidity decreases, transpiration is strengthened, water requirement increases, the value range is 0-1), I is light factor (when the light intensity increases, photosynthesis and transpiration are accelerated, water requirement increases, the value range is 0-1), F is wind speed factor (when the wind speed increases, the transpiration rate is accelerated, water requirement increases, the value range is 0-1), δ is the comprehensive influence coefficient of meteorological environment, generally 0.05-0.2;K1, K2, K3, K4: respectively are the weight coefficients of stem flow rate, leaf water potential, soil moisture, meteorological environmental factors, the value range is between 0-1, and K1+K2+K3+K4=1, the weight coefficient can be determined according to different growth stages and planting density and other factors, for example, in the vigorous growth period, the influence of stem flow rate and leaf water potential on water requirement is larger, the values of K1 and K2 can be appropriately increased;

[0096] Determination of irrigation threshold

[0097] Dynamic adjustment formula of irrigation threshold:

[0098] W threshold = W threshold_ase ×(1+K5×D+K6×S+k7×G+K8

[0099] ×C)

[0100] In the formula: W threshold : dynamic adjusted irrigation threshold; W threshold_base : basic irrigation threshold, can be determined according to the cranberry variety, soil type and traditional irrigation experience, generally between 0.5-1.5 times of the maximum daily water requirement of crops;D: growth stage factor (0-1), different values are taken in different growth stages, such as 0.2-0.3 in germination period, 0.5-0.6 in flowering period, 0.7-0.8 in fruit growth period, 0.4-0.5 in mature period, to reflect the change of water requirement in different stages;S: planting density factor (0-1), with the increase of planting density, the value increases, generally 0.1-0.4, reflecting the influence of planting density on water requirement;G: soil texture factor (0-1), different soil textures have different water retention, for sandy soil, 0.1-0.2 can be taken, for loamy soil, 0.3-0.4 can be taken, for clay soil, 0.4-0.5 can be taken, to correct the difference of water requirement under different soil conditions;C: climate adjustment factor (0-1), adjusted according to the change of climate conditions, such as 0.2-0.3 in dry years or seasons, 0-0.1 in humid years or seasons, to adapt to the influence of climate fluctuation on water requirement;K5, K6, K7, K8: respectively are the adjustment coefficients of growth stage, planting density, soil texture and climate condition, the value range is between 0-1, which can be calibrated and optimized according to the actual planting situation and historical data, to improve the accuracy of irrigation threshold.

[0101] S4: The dynamic evaluation module is connected with the calculation module, real-time obtains the instant water demand and water demand trend information, compares the calculated instant water demand with the preset irrigation threshold, judges the water demand state, when the instant water demand approaches or exceeds the irrigation threshold, the judgment unit in the early warning module triggers the early warning, the early warning information generating unit generates the early warning information, the sound and light alarm unit sends the sound and light early warning on the spot, at the same time, sends the early warning notification to the remote monitoring platform or the mobile device of the management personnel, after receiving the early warning information, the irrigation control module formulates the irrigation decision according to the instant water demand, water demand trend and soil water content data, combines the preset irrigation strategy, determines the irrigation starting time, duration and irrigation amount and other parameters, the irrigation control module sends the control signal to the irrigation equipment, starts the irrigation equipment such as the drip irrigation system or the micro-sprinkling irrigation system, and carries out the irrigation operation according to the set irrigation parameters;

[0102] When the calculated instant water demand W plant is compared with the irrigation threshold W threshold , in addition to simply judging whether it exceeds the threshold to decide whether to irrigate, the water demand early warning mechanism and the fine irrigation amount control strategy can be further introduced:

[0103] Early warning mechanism: when W plant approaches W threshold (such as 0.8W threshold above), the system sends the early warning signal, prompts the management personnel to pay attention to the water demand status of the cranberry, and makes irrigation preparation, the early warning information can be sent through the mobile phone APP, SMS or on-site sound and light alarm, so as to take timely measures to avoid the adverse effects on the growth of the cranberry due to water shortage;

[0104] Fine irrigation amount control: when W plant exceeds W threshold , the irrigation amount is determined according to the exceeding degree, for example, when , a small amount of irrigation is carried out, only the partial water deficit of the soil is supplemented, so that the soil water content is restored to about 70%-80% of the field capacity; when , moderate irrigation is carried out, the soil water content is improved to 85%-90% of the field capacity; when , sufficient irrigation is carried out, the soil water content approaches the field capacity, but excessive irrigation is avoided to cause soil waterlogging and affect the root growth of the cranberry, at the same time, according to the change of the soil water content after irrigation, the time and amount of the next irrigation are dynamically adjusted, so as to realize the precise irrigation and efficient use of water resources;

[0105] According to meteorological environment data, such as high light intensity or high temperature, the driving unit in the equipment control module controls the sunshade equipment unit to expand the sunshade curtain, and the ventilation equipment unit starts the fan to ventilate and cool down, so as to create a suitable growing environment for the cranberries. At the same time, the network access unit in the meteorological data acquisition module is connected to the meteorological data network, and the data acquisition unit acquires local meteorological forecast information from the network, including rainfall, temperature, humidity and other data in the future period of time. The analysis and prediction module analyzes the acquired meteorological data to predict the influence of meteorological conditions such as rainfall on the water requirement of cranberries. According to the meteorological prediction result, the irrigation plan is adjusted in advance, such as postponing or reducing the irrigation amount if it is forecasted to rain, or increasing the irrigation frequency and amount if it is forecasted to be continuous drought.

[0106] The embodiment also provides a computer device, which comprises a memory and a processor, the memory stores a computer program, and the processor realizes the steps of the use method of the cranberry water requirement dynamic sensing system when executing the computer program.

[0107] The embodiment also provides a computer readable storage medium, which stores a computer program, and the processor realizes the steps of the use method of the cranberry water requirement dynamic sensing system when executing the computer program.

[0108] Embodiment two

[0109] The difference between the embodiment and the embodiment one is that the irrigation control module is connected with an irrigation optimization module, the irrigation optimization module is used for comprehensively considering factors such as soil texture and crop growth stage, optimizing the irrigation strategy, formulating a personalized irrigation plan by analyzing the water retention performance of different soil textures and the water demand characteristics of crops in each growth stage, avoiding excessive irrigation and water resource waste, reducing soil nutrient loss caused by improper irrigation, and improving the utilization efficiency of water resources and fertilizers.

[0110] Embodiment three

[0111] The difference between the embodiment and the embodiment one is that the monitoring module is connected with a remote control module, the remote control module realizes remote monitoring and management of the cranberry water requirement dynamic sensing system through internet technology, the grower can view the monitoring data and system running state in real time and perform remote control through a terminal device such as a mobile phone or a computer at any place with network, so that the grower can understand the water requirement of the cranberries and the system running state at any time without going to the site, and the management convenience and flexibility are improved.

[0112] Embodiment four

[0113] The difference between the embodiment and embodiment one is that the irrigation control module is connected with a water and fertilizer integrated module, the water and fertilizer integrated module combines irrigation and fertilization, uniformly delivers the fertilizer to the crop roots through the irrigation system, realizes water and fertilizer integrated management, accurately controls the fertilization amount and time according to the water and fertilizer demand law of crops, and meets the double needs of crops for water and nutrients, promotes the growth and development of plants, and improves the yield and quality of fruits.

[0114] Embodiment five

[0115] The difference between the embodiment and embodiment one is that the data integration module is connected with a historical data management module, the historical data management module is used for storing, sorting and analyzing the collected historical data, establishing a historical database, and extracting valuable information from the historical data through data mining and statistical analysis techniques, such as crop growth law, water and fertilizer demand mode, etc.

[0116] Experimental example

[0117] I. Experimental purpose

[0118] Verify the effectiveness and accuracy of the designed cranberry water demand dynamic sensing system, evaluate the calculation ability of the system for the immediate water demand of cranberry and the precision of irrigation control through field monitoring and data analysis;

[0119] II. Experimental site and time

[0120] The experimental site is selected in a 1-hectare test field in a cranberry plantation, which has typical cranberry planting environment and soil conditions, and the experimental time is within a month of the vigorous growth period of cranberry, specifically from July 1 to July 31;

[0121] III. Experimental equipment and materials

[0122] Monitoring equipment

[0123] Plant physiology monitoring unit: 10 sets of stem flow sensors and leaf water potential sensors are installed on the cranberry plants at different positions in the test field, respectively, for real-time monitoring of stem flow rate and leaf water potential;

[0124] Soil moisture monitoring unit: according to the principle of arranging one monitoring point per 100 square meters, 10 soil moisture sensors are arranged at different depths (10 cm, 20 cm, 30 cm), respectively, for real-time monitoring of soil moisture at different depths and positions;

[0125] Meteorological environment monitoring unit: a set of weather station is installed at the center of the test field, including temperature and humidity sensor, light sensor and wind speed sensor, for monitoring air temperature and humidity, light intensity and wind speed data in the plantation;

[0126] Data acquisition and processing device

[0127] Data acquisition module: configure a data acquisition device, connect all the monitoring devices, collect data every 30 minutes, and transmit the collected data to the data processing module through wireless communication technology;

[0128] Data processing module: configure a high-performance computer in the control room near the test field, install data processing software, and use it to fuse, store and analyze the collected data, establish a mathematical model between the water requirement of cranberry and various monitoring factors, and calculate the instantaneous water requirement and predict the water requirement trend;

[0129] Irrigation and equipment control

[0130] Irrigation equipment: install a drip irrigation system in the test field, equipped with adjustable flow drippers to ensure accurate irrigation according to system instructions;

[0131] Equipment control module: configure an intelligent control system, connect with irrigation equipment, sunshade curtain and fan, etc., to receive the instructions of irrigation control module and realize automatic control of equipment;

[0132] Four, experimental steps

[0133] Monitoring equipment installation and debugging

[0134] According to the above requirements, all monitoring devices are installed in the test field and debugged to ensure normal operation and accurate data collection. Connect the data acquisition module and perform data transmission test to ensure stable data transmission to the data processing module;

[0135] Data acquisition and processing

[0136] From July 1st, the data acquisition module collects data from each monitoring device every 30 minutes, including stem flow rate, leaf water potential, soil moisture content at different depths and locations, and air temperature and humidity, light intensity and wind speed data. The collected data is transmitted to the data processing module in real time;

[0137] The data processing module performs preliminary processing on the collected data, including data cleaning, calibration and unit conversion, etc., to remove outliers and error data. The processed data is stored in the database, and the data analysis algorithm is used to establish a mathematical model between the water requirement of cranberry and the stem flow rate, leaf water potential, soil moisture content and meteorological environmental factors;

[0138] Instantaneous water requirement calculation and dynamic evaluation

[0139] According to the established mathematical model, the calculation module calculates the instantaneous water requirement of cranberries in real time and predicts the water requirement trend in the next 24 hours. The dynamic assessment module compares the instantaneous water requirement with the preset irrigation threshold. When the instantaneous water requirement reaches or exceeds the irrigation threshold, the warning module is triggered to send warning information to the management personnel;

[0140] Irrigation decision and execution

[0141] After receiving the warning information, the irrigation control module formulates irrigation decisions based on the instantaneous water requirement, water requirement trend, and soil moisture content, combined with the preset irrigation strategy, to determine the starting time, duration, and irrigation volume of irrigation, etc.

[0142] The control signal is sent to the irrigation equipment to start the drip irrigation system for irrigation operation. At the same time, according to the meteorological environmental data, such as high light intensity or high temperature, the equipment control module controls the sunshade curtain to expand and the fan to start, creating a suitable growth environment for cranberries;

[0143] Meteorological data acquisition and analysis prediction

[0144] The meteorological data acquisition module obtains local meteorological forecast information from the meteorological data network, including rainfall, temperature, humidity, and other data in the next week. The analysis and prediction module analyzes the meteorological data to predict the impact of meteorological conditions such as rainfall on the water requirement of cranberries, and adjusts the irrigation plan in advance according to the meteorological prediction results;

[0145] Irrigation effect evaluation and feedback

[0146] After irrigation, the data acquisition module continues to collect soil moisture content, plant physiological data, and growth status information to evaluate the irrigation effect. By comparing the data before and after irrigation, the impact of irrigation on soil moisture conditions and cranberry growth is analyzed;

[0147] According to the irrigation effect evaluation results, the water requirement calculation model, irrigation threshold setting, and irrigation control strategy are adjusted and feedback to optimize system performance and improve the accuracy and effectiveness of irrigation;

[0148] Experimental data recording

[0149]

[0150]

[0151] Six, experimental result analysis

[0152] Water requirement calculation accuracy

[0153] From the comparison of experimental data, it can be seen that the instant water requirement calculated by the system can well reflect the actual water requirement status of cranberries at different times. For example, at 12:00 on July 1, due to high light intensity and high temperature, the stem flow rate and leaf water potential show that the plant is in a large water requirement state, and the instant water requirement calculated by the system is 1.5 L / plant, which exceeds the preset irrigation threshold of 1.0 L / plant, triggering the irrigation operation. When the environmental conditions are relatively mild, such as at 8:00 on July 3, the instant water requirement is relatively low, 0.8 L / plant, which does not reach the irrigation threshold, and the system determines that irrigation is not needed, indicating that the water requirement calculation of the system has a certain accuracy.

[0154] Irrigation decision and execution effect

[0155] During the experiment, the system triggered irrigation operation multiple times, and after each irrigation, the soil water content was effectively supplemented and maintained within a suitable range. For example, after irrigation at 12:00 on July 1, the soil water content (at 10 cm, 20 cm, and 30 cm) increased from 22%, 24%, and 26% to 28%, 30%, and 32%, respectively, achieving the expected irrigation effect and meeting the growth needs of cranberries.

[0156] Weather data acquisition and analysis prediction effect

[0157] The weather data acquisition module successfully acquired local weather forecast information, and the analysis prediction module adjusted the irrigation plan. For example, on July 5, it was forecasted to rain, and the system delayed the original irrigation plan based on the weather prediction results, reducing unnecessary irrigation frequency and improving water resource utilization efficiency.

[0158] Irrigation effect evaluation and feedback adjustment

[0159] Through continuous monitoring of the growth status of cranberries and the change of soil water content after irrigation, it was found that the system could timely adjust the irrigation strategy according to the feedback data. For example, after irrigation at 16:00 on July 4, it was found that the soil water content decreased rapidly, and the system appropriately increased the irrigation amount in the subsequent irrigation decision to ensure the stability of the soil water content, further verifying the effectiveness and adaptability of the system.

[0160] The above is only the preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto, any skilled person in the art can make equivalent replacement or change according to the technical solution and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A method of use for a cranberry water demand dynamic sensing system, characterized by: Comprising the following steps: S1: In the cranberry plantation, install stem flow sensors, leaf water potential sensors at reasonable spacing and depth for real-time monitoring of stem flow rate and leaf water potential, form a plant physiology monitoring unit, bury multiple soil moisture sensors at different depths and locations to form a soil moisture monitoring unit to monitor soil water content in real time, install temperature and humidity sensors, light sensors and wind speed sensors to form a meteorological environment monitoring unit to monitor air temperature and humidity, light intensity and wind speed data in the plantation, the data acquisition module collects sensor data including stem flow rate, leaf water potential, soil water content at different depths and locations, and air temperature and humidity, light intensity and wind speed data every 10-30 minutes according to the set frequency, and the collected data is transmitted to the data processing module through wireless communication technology; S2: The data processing module includes a data cleaning unit that cleans, calibrates and unit converts the collected data, removes outliers and incorrect data, stores the processed data in the data storage unit to ensure data integrity and traceability, and a data analysis unit that uses data analysis algorithms to fuse the stored data and establish a mathematical model between cranberry water requirement and stem flow rate, leaf water potential, soil water content and meteorological environmental factors, and build a water requirement prediction model through multiple linear regression and neural network methods; S3: The calculation module calculates the instantaneous water requirement of cranberry according to the established mathematical model combined with the current collected monitoring data, and predicts the water requirement trend in the future period of time according to the historical data and trend analysis; Instantaneous water requirement calculation formula Comprehensive water requirement calculation formula based on plant physiology, soil moisture and meteorological environmental factors: In the formula, W plant : the instantaneous water requirement calculated based on comprehensive factors of plants; W0: the basic water requirement, which is determined according to historical data and experience, and in the initial stage of calculation, the average water requirement under the same environmental conditions in the previous stage is taken, and with continuous correction and optimization of the model, the value is dynamically adjusted; W stem : the water requirement based on the stem flow rate, which is calculated by the formula: Wherein, V is the stem flow rate collected at the current time, V0 is the reference stem flow rate, α is the conversion coefficient between stem flow rate and water requirement, which is determined by experiment calibration and is between 0.5-1.5; β is the relationship index of stem flow rate and water requirement, which is taken as 1.2-2.0, reflecting the influence degree of stem flow rate change on water requirement; W leaf : Water requirement based on leaf water potential, calculated as: Wherein, WP0 is the leaf water potential reference value, WP current is the current time of leaf water potential, and γ is the conversion coefficient between leaf water potential difference and water requirement, between 0.1-0.3; W soil : Water requirement based on soil moisture, calculated as: SWC fc SWC is the soil field capacity current SWC is the current soil moisture content wp SWC is the soil wilting coefficient, θ is the weight coefficient of soil moisture deficiency degree and water requirement, taking 0.3-0.6; W climate : water demand based on meteorological environmental factors, the calculation formula is: Wherein, T is the temperature factor, H is the humidity factor, I is the light factor, F is the wind speed factor, δ is the comprehensive influence coefficient of meteorological environment, taken as 0.05-0.2; K1, K2, K3, K4: The weight coefficients of stem flow rate, leaf water potential, soil moisture and meteorological environmental factors, respectively, the value range is between 0-1, and K1+K2+K3+K4=1, the weight coefficient can be determined according to different growth stages and planting density factors; Determination of irrigation threshold Dynamic adjustment formula of irrigation threshold: In the formula, W threshold : dynamic adjusted irrigation threshold; W threshold_base : basic irrigation threshold, determined according to the cranberry variety, soil type and traditional irrigation experience, between 0.5-1.5 times the maximum daily water requirement of the crop; D: growth stage factor; S: planting density factor, which increases with the increase of planting density, taking 0.1-0.4, reflecting the influence of planting density on water requirement; G: soil texture factor, different soil textures have different water retention, for sandy soil, taking 0.1-0.2, for loamy soil, taking 0.3-0.4, for clay soil, taking 0.4-0.5, used to correct the difference in water requirement under different soil conditions; C: climate adjustment factor, adjusted according to the change of climate conditions; K5, K6, K7, K8: adjustment coefficients of growth stage, planting density, soil texture and climate condition respectively, with a value range of 0-1, calibrated and optimized according to actual planting conditions and historical data to improve the accuracy of the irrigation threshold. S4: The dynamic evaluation module is connected with the calculation module, real-time instant water demand and water demand trend information are obtained, the calculated instant water demand is compared with the preset irrigation threshold, the water demand state is judged, when the instant water demand approaches or exceeds the irrigation threshold, the warning module triggers the warning, the warning information generating unit generates the warning information, the sound and light warning unit sends the warning information to the remote monitoring platform or the mobile device of the management personnel, the irrigation control module receives the warning information, according to the instant water demand, the water demand trend and the soil water content data, the irrigation strategy is determined, including determining the irrigation start time, the duration and the irrigation amount parameters, the irrigation control module sends the control signal to the irrigation equipment, the irrigation equipment is started, and the irrigation operation is performed according to the set irrigation parameters; When the calculated instant water requirement W plant is compared with the irrigation threshold W threshold In addition to simply determining whether to irrigate or not by judging whether the threshold is exceeded, a water requirement warning mechanism and fine control strategy for irrigation amount are further introduced: Early warning mechanism: when W plant approaches W threshold , the system sends an early warning signal to prompt the manager to pay attention to the water requirement of cranberry and make irrigation preparation. The early warning information is sent through mobile APP, SMS or on-site sound and light alarm to take timely measures to avoid adverse effects on the growth of cranberry due to water shortage; Fine control of irrigation amount: when W plant exceeds W threshold , the irrigation amount is determined according to the exceeding degree, and meanwhile, the time and amount of the next irrigation are dynamically adjusted according to the change of the soil moisture after irrigation, so as to realize precise irrigation and efficient use of water resources. According to the meteorological environment data, the driving unit in the equipment control module controls the sunshade equipment unit to expand the sunshade curtain, the ventilation equipment unit starts the fan to ventilate and cool, and suitable growth environment is created for the cranberry. Meanwhile, the network access unit in the meteorological data acquisition module is connected to the meteorological data network, the data acquisition unit acquires the local meteorological forecast information from the network, including the rainfall, temperature and humidity data in a future period of time, the analysis and prediction module analyzes the acquired meteorological data, predicts the influence of the meteorological conditions on the water demand of the cranberry, and adjusts the irrigation plan in advance according to the meteorological prediction result. If it is predicted to rain, the irrigation amount is delayed or reduced, and if it is predicted to be continuous drought, the irrigation frequency and amount are increased.

2. A cranberry water demand dynamic sensing system for implementing the method of using a cranberry water demand dynamic sensing system as recited in claim 1, characterized by: Comprise: The monitoring module: the stem flow rate, leaf water potential, soil water content at different depths and positions, and air temperature and humidity, light intensity and wind speed data of the cranberry are monitored; The data acquisition module: the stem flow rate, leaf water potential, soil water content at different depths and positions, and air temperature and humidity, light intensity and wind speed data of the cranberry are collected, and the collected data are transmitted to the data processing module; The data processing module and the data integration module: the collected various types of data are fused and processed, the data analysis algorithm is used, and the mathematical model between the water demand of the cranberry and the stem flow rate, leaf water potential, soil water content and meteorological environmental factors is established; The calculation module: the instant water demand of the cranberry and the water demand trend in a future period of time are calculated and predicted; The dynamic evaluation module, the dynamic evaluation module is connected with the calculation module, the dynamic evaluation module is connected with the warning module, the warning module is connected with the irrigation control module and the equipment control module, the irrigation control module is connected with the analysis and prediction module, and the analysis and prediction module is connected with the meteorological data acquisition module.

3. A dynamic vine water requirement sensing system as claimed in claim 2, wherein: The monitoring module comprises a plant physiological monitoring unit, a soil water monitoring unit and a meteorological environment monitoring unit, the plant physiological monitoring unit is used for monitoring the stem flow rate and the leaf water potential in real time, the soil water monitoring unit is used for monitoring the soil water content at different depths and positions in real time, and the meteorological environment monitoring unit is used for monitoring the meteorological environment parameters in the plantation.

4. A dynamic vine water requirement sensing system as claimed in claim 3, wherein: The data processing module comprises a data arrangement unit, a data storage unit and a data analysis unit, the data arrangement unit is connected with the data storage unit, and the data storage unit is connected with the data analysis unit.

5. A dynamic vine water requirement sensing system as claimed in claim 4, wherein: The early warning module comprises a judgment unit, an early warning information generating unit and an audible and visual alarm unit, the judgment unit is connected with the early warning information generating unit, and the early warning information generating unit is connected with the audible and visual alarm unit.

6. A dynamic vine water requirement sensing system as claimed in claim 5, wherein: The weather data acquisition module comprises a network access unit, a data acquisition unit and a data transmission unit, the network access unit is connected with the data acquisition unit, and the data acquisition unit is connected with the data transmission unit.

7. A dynamic vine water requirement sensing system as claimed in claim 6, wherein: The device control module comprises a driving unit, a sunshade device unit and a ventilation device unit, the driving unit is connected with the sunshade device unit, and the sunshade device unit is connected with the ventilation device unit.

8. A dynamic vine water requirement sensing system as claimed in claim 7, wherein: The plant physiological monitoring unit comprises a stem flow sensor and a leaf water potential sensor, the soil moisture monitoring unit comprises a plurality of soil moisture sensors, and the meteorological environment monitoring unit comprises a temperature and humidity sensor, an illumination sensor and a wind speed sensor. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to realize the steps of the use method of the cranberry water requirement dynamic induction system in claim 1.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the use method of the cranberry water requirement dynamic induction system in claim 1.

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