Scientific and precise irrigation system based on cloud data processing
Through a scientific and accurate irrigation system based on cloud data processing, sensor data analysis is used to determine irrigation needs and adjust strategies in real time, the problems of waste of water resources and low irrigation efficiency caused by artificial irrigation in the existing technology are solved, and efficient and automated irrigation is achieved operate.
Patent Information
- Application Number
- CN202411322287.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-20
- Publication Date
- 2025-02-07
AI Technical Summary
The existing precision irrigation technology still uses manual irrigation when facing different weather conditions, resulting in waste of water resources, pesticide waste and low irrigation efficiency.
Design a scientific and accurate irrigation system based on cloud data processing, including a Rizhao impact data analysis module, a churn impact data analysis module and an irrigation strategy formulation module. Sunshine duration, humidity, temperature and wind speed data are obtained through sensors, analysed to determine irrigation needs, and adjust irrigation strategies in real time.
Automatic irrigation in different weather conditions has been achieved, reducing the waste of water resources and pesticides, and improving irrigation efficiency.
Smart Images

Figure CN119398956A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of precision irrigation technology, and in particular to a scientific precision irrigation system based on cloud data processing. Background Art
[0002] Precision irrigation is an irrigation method based on advanced technology. It monitors the soil moisture and crop growth status of farmland in real time to provide the right amount of water supply according to the water demand of crops. The core idea of this technology is to reasonably regulate the irrigation water volume and irrigation time based on the precise monitoring of soil and crops, so that plants can obtain the best growth conditions, thereby reducing water waste and soil salinization problems. Precision irrigation technology uses modern information technology means such as the Internet of Things, big data and cloud computing to monitor, analyze and make decisions on farmland in real time, so as to achieve efficient use of water resources and high-quality and high-yield crops.
[0003] The existing methods for precision irrigation usually analyze the moisture information of the soil and the moisture information of the crops, and then determine the amount of water used for irrigation to achieve the purpose of precision irrigation. Although this improved method can ensure that the amount of water used for irrigation can meet the water requirements of the soil and crops, in the existing actual irrigation, after determining the water requirement, artificial irrigation is still used for irrigation in the face of different weather conditions, which will lead to the problem of large amount of manpower consumption and low irrigation efficiency. For example, in the patent application with publication number CN113642269A, a precision irrigation method and irrigation system are disclosed. This scheme is to comprehensively consider the water migration law of the soil-plant-environment system, use the optimal control theory to make a comprehensive decision to obtain the optimal irrigation index, and use the irrigation system to achieve precise irrigation of crops. This improved method can only control the amount of water used for irrigation. When using artificial irrigation, water resources will be wasted due to subjective judgment and pesticide waste will be wasted when excess water is discharged, which further leads to the need for a large amount of manpower consumption and low irrigation efficiency. In view of this, it is necessary to improve the existing precision irrigation method. Summary of the invention
[0004] The present invention aims to solve at least one of the technical problems in the prior art to a certain extent, by proposing a scientific and precise irrigation system based on cloud data processing, which is used to solve the problem that in the existing actual irrigation, artificial irrigation is used for irrigation when facing different weather conditions, and during artificial irrigation, water resources are wasted due to subjective judgment and pesticides are wasted when excess water is discharged, which further leads to the need for a large amount of manpower and low irrigation efficiency.
[0005] To achieve the above objectives, the present application provides a scientific and precise irrigation system based on cloud data processing, including a sunshine impact data analysis module, a runoff impact data analysis module and an irrigation strategy formulation module:
[0006] The sunshine impact data analysis module includes a sunshine humidity analysis unit, which is used to obtain the sunshine duration impact data on humidity using a sunshine duration sensor and a humidity sensor;
[0007] The loss impact data analysis module includes a temperature loss analysis unit and a wind speed loss analysis unit; the temperature loss analysis unit is used to obtain the data on the impact of temperature on soil moisture loss using a temperature sensor; the wind speed loss sensor is used to obtain the data on the impact of wind speed on soil moisture loss;
[0008] The irrigation strategy formulation module is used to establish an irrigation strategy based on multiple influencing data, and to determine in real time whether the soil is short of water based on the irrigation strategy; and to irrigate the area that needs irrigation based on the judgment result.
[0009] Furthermore, the sunshine humidity analysis unit is configured with a sunshine humidity analysis strategy, which includes:
[0010] A plane rectangular coordinate system is established, which is recorded as the sunshine humidity analysis coordinate system, wherein the unit of the X-axis of the sunshine humidity analysis coordinate system is relative humidity, and the unit of the Y-axis is time; a sunshine duration sensor and a humidity sensor are used to collect real-time data on the area that needs to be irrigated, and the number of collected days is recorded as k. For the data collected on any day, the start time and end time corresponding to the sunshine duration are recorded as the sunshine start time and the sunshine end time, respectively. The humidity collected by the humidity sensor at the sunshine start time and the sunshine end time are obtained, and recorded as the start time humidity and the end time humidity, respectively; the length of time between the sunshine start time and the sunshine end time is recorded as the sunshine length.
[0011] Furthermore, the sunshine humidity analysis strategy also includes:
[0012] In the sunshine and humidity analysis coordinate system, the point (humidity at the start, sunshine length) is connected with the point (humidity at the end, sunshine length), and the connected line segment is recorded as the sunshine and humidity sub-segment; all data collected within k days are analyzed, and the corresponding k sunshine and humidity sub-segments are drawn in the sunshine and humidity analysis coordinate system.
[0013] Furthermore, the sunshine humidity analysis strategy also includes:
[0014] The lowest humidity in the area that needs irrigation without irrigation is recorded as the critical humidity, and the straight line corresponding to X=critical humidity is recorded as the critical straight line; the sunshine humidity sub-segment intersecting with the critical straight line in the sunshine analysis coordinate system is recorded as the judgment humidity sub-segment; the sunshine humidity sub-segment completely on the left side of the critical straight line in the sunshine analysis coordinate system is recorded as the water-deficient sub-segment; the sunshine humidity sub-segment completely on the right side of the critical straight line in the sunshine analysis coordinate system is recorded as the sufficient water sub-segment.
[0015] Furthermore, the temperature loss analysis unit is configured with a temperature loss analysis strategy, and the temperature loss analysis strategy includes:
[0016] A plane rectangular coordinate system is established, recorded as the temperature loss analysis coordinate system, where the unit of the X-axis of the temperature loss analysis coordinate system is soil moisture content, and the unit of the Y-axis is temperature; within the k days of the analysis of the sunshine humidity analysis strategy, the temperature and soil moisture content in the area that needs irrigation are obtained in real time, and the corresponding curve is drawn in the temperature loss analysis coordinate system based on the data obtained every day.
[0017] Furthermore, the temperature loss analysis strategy also includes:
[0018] The k curves obtained within k days are fitted, and the obtained curve is recorded as the temperature loss curve; the lowest soil moisture content that does not require irrigation in the area that requires irrigation is recorded as the critical moisture content, the point in the temperature loss curve with the critical moisture content as the abscissa is the critical moisture point A, and the ordinate of the critical moisture point A is marked as the critical temperature.
[0019] Furthermore, the wind speed loss analysis unit is configured with a wind speed loss analysis strategy, and the wind speed loss analysis strategy includes:
[0020] A plane rectangular coordinate system is established, recorded as the wind speed loss analysis coordinate system, where the unit of the X-axis of the temperature loss analysis coordinate system is soil moisture content, and the unit of the Y-axis is wind speed; within the k days of the analysis of the sunshine humidity analysis strategy, the wind speed and soil moisture content in the area that needs irrigation are obtained in real time, and the corresponding curve is drawn in the wind speed loss analysis coordinate system based on the data obtained every day.
[0021] Furthermore, the wind speed loss analysis strategy also includes:
[0022] The k curves obtained within k days are fitted and recorded as the wind speed loss curve; the point in the wind speed loss curve whose abscissa is the critical moisture content is recorded as the critical moisture point B, and the ordinate of the critical moisture point B is marked as the critical wind speed.
[0023] Furthermore, the irrigation strategy formulation module includes an irrigation customization unit, and the irrigation customization unit is configured with an irrigation customization strategy, and the irrigation customization strategy includes:
[0024] During the irrigation period, humidity sensors, sunshine duration sensors, temperature sensors and wind speed sensors are used to obtain the humidity, sunshine duration, temperature and wind speed in the area that needs irrigation in real time;
[0025] Based on the real-time humidity and sunshine duration, the corresponding sunshine humidity sub-segment is drawn in the sunshine humidity analysis coordinate system. When the sunshine humidity sub-segment is a sufficient water sub-segment, it is recorded as no irrigation is required; when the sunshine humidity sub-segment is a judgment humidity sub-segment, it is recorded as judgment irrigation; when the sunshine humidity sub-segment is a water shortage sub-segment, it is recorded as just-need irrigation; when the real-time temperature is greater than the critical temperature or the real-time wind speed is greater than the critical wind speed, it is recorded as just-need irrigation; when the real-time temperature is less than or equal to the critical temperature and the real-time wind speed is less than or equal to the critical wind speed, it is recorded as no irrigation is required.
[0026] Furthermore, irrigation customization strategies also include:
[0027] When only no irrigation is required, no irrigation is performed; when any amount of just-needed irrigation is obtained, the maximum irrigation flow is used for irrigation; when judgment irrigation is obtained, half of the maximum irrigation flow is used for irrigation.
[0028] Beneficial effects of the present invention: The present invention first uses a sunshine duration sensor and a humidity sensor to obtain data on the effect of sunshine duration on humidity; uses a temperature sensor to obtain data on the effect of temperature on soil moisture loss; and obtains data on the effect of wind speed on soil moisture loss. The advantage of this is that by obtaining data on the effect of sunshine duration on humidity, and data on the effect of temperature and wind speed on soil moisture loss, it is helpful to determine whether to perform irrigation operations based on environmental data in an area that needs irrigation under different weather conditions, so that timely response can be made when irrigation is needed, thereby improving irrigation efficiency.
[0029] The present invention also establishes an irrigation strategy based on multiple influencing data, and determines in real time whether the soil is short of water based on the irrigation strategy; and irrigates the area that needs irrigation based on the judgment result. The advantage of this is that by establishing an irrigation strategy, it helps to realize automatic irrigation through actual environmental data, prevent the waste of water resources and pesticides caused by manual irrigation, and improve the overall irrigation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Figure 1 is a functional block diagram of the system of the present invention;
[0031] Figure 2 It is a schematic diagram of the irrigation structure of the present invention;
[0032] Figure 3 It is a schematic diagram of the sunshine humidity analysis coordinate system of the present invention. DETAILED DESCRIPTION
[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0034] Example 1, first aspect, please refer to Figure 1 as well as Figure 2 As shown, the present application provides a scientific and precise irrigation system based on cloud data processing, including a sunshine impact data analysis module, a loss impact data analysis module and an irrigation strategy formulation module:
[0035] The sunshine impact data analysis module includes a sunshine humidity analysis unit, which is used to obtain the sunshine duration impact data on humidity using a sunshine duration sensor and a humidity sensor; the sunshine humidity analysis unit is configured with a sunshine humidity analysis strategy, which includes:
[0036] Establish a plane rectangular coordinate system, recorded as the sunshine humidity analysis coordinate system, where the unit of the X-axis of the sunshine humidity analysis coordinate system is relative humidity, and the unit of the Y-axis is time; use the sunshine duration sensor and the humidity sensor to collect real-time data for the area that needs to be irrigated, and record the number of collected days as k. For the data collected on any day, the start time and end time corresponding to the sunshine duration are recorded as the sunshine start time and the sunshine end time, respectively. The humidity collected by the humidity sensor at the sunshine start time and the sunshine end time are obtained, and recorded as the start time humidity and the end time humidity respectively; the time length between the sunshine start time and the sunshine end time is recorded as the sunshine length;
[0037] In the sunshine humidity analysis coordinate system, connect the point (humidity at the start, sunshine length) with the point (humidity at the end, sunshine length), and record the connected line segment as the sunshine humidity sub-segment; analyze all the data collected within k days, and draw the corresponding k sunshine humidity sub-segments in the sunshine humidity analysis coordinate system;
[0038] In the specific implementation process, for example, in a data processing process, the sunshine humidity analysis coordinate system obtained can be found in Figure 3 As shown, ZD1 to ZD6 are all sunshine humidity sub-segments, ZZ1 is a critical straight line, and through analysis, it can be obtained that ZD1 and ZD2 are water-deficient sub-segments, ZD4 to ZD6 are sufficient water sub-segments, and ZD3 is a humidity judgment sub-segment;
[0039] The lowest humidity in the area that needs irrigation without irrigation is recorded as the critical humidity, and the straight line corresponding to X=critical humidity is recorded as the critical straight line; the sunshine humidity sub-segment intersecting with the critical straight line in the sunshine analysis coordinate system is recorded as the judgment humidity sub-segment; the sunshine humidity sub-segment completely on the left side of the critical straight line in the sunshine analysis coordinate system is recorded as the water-deficient sub-segment; the sunshine humidity sub-segment completely on the right side of the critical straight line in the sunshine analysis coordinate system is recorded as the sufficient water sub-segment.
[0040] The loss impact data analysis module includes a temperature loss analysis unit and a wind speed loss analysis unit; the temperature loss analysis unit is used to obtain the data on the impact of temperature on soil moisture loss using a temperature sensor; the wind speed loss sensor is used to obtain the data on the impact of wind speed on soil moisture loss; the temperature loss analysis unit is configured with a temperature loss analysis strategy, which includes:
[0041] A plane rectangular coordinate system is established, which is recorded as the temperature loss analysis coordinate system, wherein the unit of the X-axis of the temperature loss analysis coordinate system is the soil moisture content, and the unit of the Y-axis is the temperature; within the k days of the analysis of the sunshine humidity analysis strategy, the temperature and soil moisture content in the area that needs to be irrigated are obtained in real time, and the corresponding curve is drawn in the temperature loss analysis coordinate system based on the data obtained every day;
[0042] The k curves obtained within k days are fitted, and the obtained curve is recorded as the temperature loss curve; the lowest soil moisture content in the area that needs irrigation and does not need irrigation is recorded as the critical moisture content, the point in the temperature loss curve whose abscissa is the critical moisture content is recorded as the critical moisture point A, and the ordinate of the critical moisture point A is marked as the critical temperature;
[0043] In the specific implementation process, the value of k can be set according to the number of days that data can be collected during the actual analysis. In this embodiment, the value of k is set to 7;
[0044] The wind speed loss analysis unit is configured with a wind speed loss analysis strategy, which includes:
[0045] A plane rectangular coordinate system is established, which is recorded as the wind speed loss analysis coordinate system, where the unit of the X-axis of the temperature loss analysis coordinate system is the soil moisture content, and the unit of the Y-axis is the wind speed; within the k days of the analysis of the sunshine humidity analysis strategy, the wind speed and soil moisture content in the area that needs to be irrigated are obtained in real time, and the corresponding curve is drawn in the wind speed loss analysis coordinate system based on the data obtained every day;
[0046] The k curves obtained within k days are fitted and recorded as the wind speed loss curve; the point in the wind speed loss curve whose abscissa is the critical moisture content is recorded as the critical moisture point B, and the ordinate of the critical moisture point B is marked as the critical wind speed.
[0047] The irrigation strategy formulation module is used to establish an irrigation strategy based on multiple influencing data, and to determine in real time whether the soil is water-deficient based on the irrigation strategy; and to irrigate the area that needs irrigation based on the judgment result; the irrigation strategy formulation module includes an irrigation customization unit, and the irrigation customization unit is configured with an irrigation customization strategy, and the irrigation customization strategy includes:
[0048] During the irrigation period, humidity sensors, sunshine duration sensors, temperature sensors and wind speed sensors are used to obtain the humidity, sunshine duration, temperature and wind speed in the area that needs irrigation in real time;
[0049] Based on the real-time humidity and sunshine duration, the corresponding sunshine humidity sub-segment is drawn in the sunshine humidity analysis coordinate system. When the sunshine humidity sub-segment is a sufficient water sub-segment, it is recorded as no irrigation is required; when the sunshine humidity sub-segment is a judgment humidity sub-segment, it is recorded as judgment irrigation; when the sunshine humidity sub-segment is a water shortage sub-segment, it is recorded as just-needed irrigation; when the real-time temperature is greater than the critical temperature or the real-time wind speed is greater than the critical wind speed, it is recorded as just-needed irrigation; when the real-time temperature is less than or equal to the critical temperature and the real-time wind speed is less than or equal to the critical wind speed, it is recorded as no irrigation is required;
[0050] When only no irrigation is required, no irrigation is performed; when any amount of just-needed irrigation is obtained, the maximum irrigation flow is used for irrigation; when judgment irrigation is obtained, half of the maximum irrigation flow is used for irrigation.
[0051] Embodiment 2, second aspect, the difference between this embodiment and embodiment 1 is that the loss impact data analysis module also includes a pH analysis unit, and the pH analysis unit is configured with a pH analysis strategy; the pH analysis strategy includes: sampling the soil in the area that needs to be irrigated, and recording the sampled soil as sampled soil; keeping the acidity and alkalinity of the sampled soil unchanged, cultivating the sampled soil based on the humidity, wind speed and temperature in the area that needs to be irrigated, and obtaining the moisture content in the sampled soil in real time, when the moisture content in the soil is equal to the critical moisture content, recording the cultivation time as the natural placement time; whenever the area that needs to be irrigated is irrigated and has not been irrigated again after the natural placement time, the area that needs to be irrigated is irrigated once.
[0052] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.
[0053] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.
[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A scientific and precise irrigation system based on cloud data processing, characterized in that: Including sunshine impact data analysis module, loss impact data analysis module and irrigation strategy formulation module: The sunshine impact data analysis module includes a sunshine humidity analysis unit, which is used to obtain the sunshine duration impact data on humidity using a sunshine duration sensor and a humidity sensor; The loss impact data analysis module includes a temperature loss analysis unit and a wind speed loss analysis unit; the temperature loss analysis unit is used to obtain the data on the impact of temperature on soil moisture loss using a temperature sensor; the wind speed loss sensor is used to obtain the data on the impact of wind speed on soil moisture loss; The irrigation strategy formulation module is used to establish an irrigation strategy based on multiple influencing data, and to determine in real time whether the soil is short of water based on the irrigation strategy; and to irrigate the area that needs irrigation based on the judgment result.
2. A cloud-based data processing scientific precision irrigation system according to claim 1, characterized in that: The sunshine humidity analysis unit is equipped with sunshine humidity analysis strategies, which include: A plane rectangular coordinate system is established, which is recorded as the sunshine humidity analysis coordinate system, wherein the unit of the X-axis of the sunshine humidity analysis coordinate system is relative humidity, and the unit of the Y-axis is time; a sunshine duration sensor and a humidity sensor are used to collect real-time data on the area that needs to be irrigated, and the number of collected days is recorded as k. For the data collected on any day, the start time and end time corresponding to the sunshine duration are recorded as the sunshine start time and the sunshine end time, respectively. The humidity collected by the humidity sensor at the sunshine start time and the sunshine end time are obtained, and recorded as the start time humidity and the end time humidity, respectively; the length of time between the sunshine start time and the sunshine end time is recorded as the sunshine length.
3. The cloud-based data processing scientific precision irrigation system according to claim 2, characterized in that: The solar humidity analysis strategy also includes: In the sunshine and humidity analysis coordinate system, the point (humidity at the start, sunshine length) is connected with the point (humidity at the end, sunshine length), and the connected line segment is recorded as the sunshine and humidity sub-segment; all data collected within k days are analyzed, and the corresponding k sunshine and humidity sub-segments are drawn in the sunshine and humidity analysis coordinate system.
4. The cloud-based data processing scientific precision irrigation system according to claim 3, characterized in that: The solar humidity analysis strategy also includes: The lowest humidity in the area that needs irrigation without irrigation is recorded as the critical humidity, and the straight line corresponding to X=critical humidity is recorded as the critical straight line; the sunshine humidity sub-segment intersecting with the critical straight line in the sunshine analysis coordinate system is recorded as the judgment humidity sub-segment; the sunshine humidity sub-segment completely on the left side of the critical straight line in the sunshine analysis coordinate system is recorded as the water-deficient sub-segment; the sunshine humidity sub-segment completely on the right side of the critical straight line in the sunshine analysis coordinate system is recorded as the sufficient water sub-segment.
5. The cloud-based data processing scientific precision irrigation system according to claim 4, characterized in that: The temperature loss analysis unit is configured with a temperature loss analysis strategy, which includes: A plane rectangular coordinate system is established, recorded as the temperature loss analysis coordinate system, where the unit of the X-axis of the temperature loss analysis coordinate system is soil moisture content, and the unit of the Y-axis is temperature; within the k days of the analysis of the sunshine humidity analysis strategy, the temperature and soil moisture content in the area that needs irrigation are obtained in real time, and the corresponding curve is drawn in the temperature loss analysis coordinate system based on the data obtained every day.
6. The cloud-based data processing scientific precision irrigation system according to claim 5, characterized in that: The temperature loss analysis strategy also includes: The k curves obtained within k days are fitted, and the obtained curve is recorded as the temperature loss curve; the lowest soil moisture content that does not require irrigation in the area that requires irrigation is recorded as the critical moisture content, the point in the temperature loss curve with the critical moisture content as the abscissa is the critical moisture point A, and the ordinate of the critical moisture point A is marked as the critical temperature.
7. The cloud-based data processing scientific precision irrigation system according to claim 6, characterized in that: The wind speed loss analysis unit is configured with a wind speed loss analysis strategy, which includes: A plane rectangular coordinate system is established, recorded as the wind speed loss analysis coordinate system, where the unit of the X-axis of the temperature loss analysis coordinate system is soil moisture content, and the unit of the Y-axis is wind speed; within the k days of the analysis of the sunshine humidity analysis strategy, the wind speed and soil moisture content in the area that needs irrigation are obtained in real time, and the corresponding curve is drawn in the wind speed loss analysis coordinate system based on the data obtained every day.
8. The cloud-based data processing scientific precision irrigation system according to claim 7, characterized in that: Wind speed loss analysis strategies also include: The k curves obtained within k days are fitted and recorded as the wind speed loss curve; the point in the wind speed loss curve whose abscissa is the critical moisture content is recorded as the critical moisture point B, and the ordinate of the critical moisture point B is marked as the critical wind speed.
9. The cloud-based data processing scientific precision irrigation system according to claim 8, characterized in that: The irrigation strategy formulation module includes an irrigation customization unit, and the irrigation customization unit is configured with an irrigation customization strategy. The irrigation customization strategy includes: During the irrigation period, humidity sensors, sunshine duration sensors, temperature sensors and wind speed sensors are used to obtain the humidity, sunshine duration, temperature and wind speed in the area that needs irrigation in real time; Based on the real-time humidity and sunshine duration, the corresponding sunshine humidity sub-segment is drawn in the sunshine humidity analysis coordinate system. When the sunshine humidity sub-segment is a sufficient water sub-segment, it is recorded as no irrigation is required; when the sunshine humidity sub-segment is a judgment humidity sub-segment, it is recorded as judgment irrigation; when the sunshine humidity sub-segment is a water shortage sub-segment, it is recorded as just-need irrigation; when the real-time temperature is greater than the critical temperature or the real-time wind speed is greater than the critical wind speed, it is recorded as just-need irrigation; when the real-time temperature is less than or equal to the critical temperature and the real-time wind speed is less than or equal to the critical wind speed, it is recorded as no irrigation is required.
10. The cloud-based data processing scientific precision irrigation system according to claim 9, characterized in that: Customized irrigation strategies also include: When only no irrigation is required, no irrigation is performed; when any amount of just-needed irrigation is obtained, the maximum irrigation flow is used for irrigation; when judgment irrigation is obtained, half of the maximum irrigation flow is used for irrigation.
Citation Information
Patent Citations
Accurate irrigation method and irrigation system
CN113642269A
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