Agricultural product irrigation control system based on Internet of Things
Through the Internet of Things irrigation control system, the regions are divided according to soil data and plant growth characteristics, and the irrigation method is accurately adjusted, the problem of insufficient analysis of irrigation area characteristics is solved, the water resource utilization rate and irrigation efficiency are improved, and agricultural capabilities are achieved Continuous development.
Patent Information
- Application Number
- CN202411564051.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-05
- Publication Date
- 2025-01-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing irrigation control system is not accurate enough in the regional characteristics of irrigated agricultural products, resulting in low water resource utilization and the inability to select appropriate irrigation methods based on the characteristics of different regions.
The data analysis module divides dynamic changing areas and stable areas, and determines the irrigation method based on the water permeability rate and soil moisture content. And adjust the irrigation parameters according to the soil organic matter content and plant growth height difference.
It improves the accuracy of irrigation decisions, optimizes water resource allocation, ensures that limited water resources are allocated to the most needed areas, reduces water resource waste, reduces irrigation costs, and achieves sustainable agricultural development.
Smart Images

Figure CN119318295A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of irrigation control, and in particular to an agricultural product irrigation control system based on the Internet of Things. Background Art
[0002] Water resources are unevenly distributed and limited in total. With the acceleration of industrialization and urbanization and the continuous growth of population, water resources are consumed in large quantities and polluted to varying degrees. Many regions are facing severe challenges of water scarcity, with frequent phenomena such as falling groundwater levels and drying up rivers. In the agricultural sector, traditional irrigation methods often have low water resource utilization efficiency, and flooding and other methods have caused a lot of water resource waste. According to statistics, agricultural water use in some areas accounts for more than 60% of the total water use, but the effective utilization rate is less than 50%. This makes it urgent to optimize the management of agricultural water use in the context of water shortage.
[0003] Chinese patent application publication number: CN106386410A discloses an intelligent irrigation control system, including a sensor part, a controller part, and an irrigation part. The sensor part collects data and sends the data to the controller part. The controller part controls the irrigation part to irrigate. The sensor part includes a multi-point soil moisture detection sensor and a multi-point soil temperature detection sensor. The irrigation part includes a water delivery system. The invention reasonably promotes automatic control in the irrigation system, which can not only improve resource utilization and alleviate the contradiction of increasingly tight water resources, but also increase the yield of crops and reduce the cost of agricultural products. The intelligent irrigation control system is a simple-to-operate system that can realize automatic control of irrigation time, has a wide range of applications, and is economical and convenient.
[0004] It can be seen that the existing technology has the problem of inaccurate analysis of the regional characteristics of agricultural products to be irrigated, which leads to the inability to select a suitable irrigation start method according to the regional characteristics of agricultural products to be irrigated, thereby causing low water resource utilization. Summary of the invention
[0005] To this end, the present invention provides an agricultural product irrigation control system based on the Internet of Things to overcome the problem in the prior art that the analysis of the regional characteristics of the agricultural products to be irrigated is not accurate enough, resulting in the inability to select a suitable irrigation start method according to the regional characteristics of the agricultural products to be irrigated, thereby causing low water resource utilization.
[0006] To achieve the above object, the present invention provides an agricultural product irrigation control system based on the Internet of Things, comprising:
[0007] A data acquisition module, which is used to acquire soil data of the agricultural product area to be irrigated, precipitation data of the agricultural product area to be irrigated, and plant growth height data;
[0008] A data analysis module, which is connected to the data acquisition module, and is used to divide the agricultural product area to be irrigated into a dynamic change area and a stable area according to the average change amount of soil data within a first preset time, and determine whether to start irrigation based on the water penetration rate change parameter based on the agricultural product area to be irrigated being the dynamic change area, or determine whether to start irrigation based on the soil moisture content and the precipitation within a second preset time based on the agricultural product area to be irrigated being the stable area;
[0009] An irrigation method determination module, which is connected to the data analysis module and is used to determine whether to irrigate agricultural products using a dynamic flow irrigation method or a low flow infiltration irrigation method according to the soil organic matter content;
[0010] An irrigation adjustment module is connected to the irrigation method determination module, and is used to determine whether to adjust the agricultural product irrigation control process according to the uniformity of the change in soil moisture content in the same irrigation area during the irrigation process and the difference in plant growth heights in several different irrigation areas, wherein the irrigation adjustment module determines that the adjustment of the agricultural product irrigation control process includes replacing or repairing the sprinkler irrigation equipment or adjusting the parameters of the agricultural product irrigation control process, and the agricultural product irrigation control process parameters include a preset soil organic matter content and a preset soil moisture content.
[0011] Furthermore, the data analysis module divides the agricultural product area to be irrigated into a dynamic change area and a stable area according to the average change amount of soil data within the first preset time, including:
[0012] The data analysis module divides the agricultural product area to be irrigated into a stable area according to the comparison result that the average change amount of soil data within the first preset time period is less than or equal to the preset average change amount of soil data;
[0013] The data analysis module divides the agricultural product area to be irrigated into a dynamic change area according to the comparison result that the average change amount of soil data within the first preset time is greater than the preset average change amount of soil data.
[0014] Furthermore, the preset average soil data change is determined based on an average soil data change of the agricultural product area to be irrigated within a first preset time.
[0015] Furthermore, the data analysis module determines whether to start irrigation based on the water penetration rate change parameter based on the agricultural product area to be irrigated being a dynamically changing area, including:
[0016] The data analysis module determines to start irrigation according to the comparison result that the water penetration rate is greater than or equal to the preset water penetration rate.
[0017] Furthermore, the data analysis module determines whether to start irrigation based on the agricultural product area to be irrigated being a stable area according to the soil moisture content and the precipitation within the second preset time, including:
[0018] The data analysis module determines to start irrigation according to a comparison result that the soil moisture content is less than or equal to the preset soil moisture content and the precipitation within the second preset time is less than or equal to the preset precipitation.
[0019] Furthermore, the preset moisture permeation rate is determined according to a historical average value of the moisture permeation rate in the dynamically changing area.
[0020] Furthermore, the irrigation method determination module determines, according to the soil organic matter content, whether to irrigate agricultural products using a dynamic flow irrigation method or a low flow infiltration irrigation method, including:
[0021] The irrigation method determination module determines to irrigate agricultural products with a dynamic flow irrigation method according to the comparison result that the soil organic matter content is greater than or equal to the preset soil organic matter content;
[0022] The irrigation method determination module determines to irrigate agricultural products by a low-flow infiltration irrigation method according to a comparison result that the soil organic matter content is less than a preset soil organic matter content.
[0023] Furthermore, the preset soil organic matter content is determined based on an average value of the soil organic matter content in the agricultural product area to be irrigated.
[0024] Furthermore, the irrigation adjustment module determines whether to adjust the agricultural product irrigation control process according to the uniformity of the soil moisture change in the same irrigation area during the irrigation process and the difference in plant growth heights in a plurality of different irrigation areas within a third preset time, including:
[0025] The irrigation adjustment module determines the adjustment of the agricultural product irrigation control process according to the comparison result that the uniformity of the soil moisture change in the same irrigation area during the irrigation process is greater than the preset uniformity or the difference in plant growth height in several different irrigation areas within the third preset time is greater than the preset average value.
[0026] Furthermore, the adjustment amount of the preset organic matter content is negatively correlated with the difference in plant growth heights in several different irrigation areas within the third preset time, and the adjustment amount of the preset soil moisture content is positively correlated with the difference in plant growth heights in several different irrigation areas within the third preset time.
[0027] Compared with the prior art, the beneficial effect of the present invention is that, by dividing the agricultural product area to be irrigated into a dynamically changing area and a stable area, a more accurate irrigation decision can be made according to the characteristics of different areas; for the stable area, since the soil data changes little, a relatively stable irrigation strategy can be adopted to avoid over-irrigation or under-irrigation, and for the dynamically changing area, the irrigation plan can be adjusted in time according to the change of soil data to ensure that crops can get appropriate water supply under different soil conditions. Accurate irrigation decisions help optimize the allocation of water resources. In areas with tight water resources, this division method can ensure that limited water resources are allocated to the areas that need them most. For the stable area, the irrigation water volume can be appropriately reduced or the irrigation cycle can be extended to save water resources; and for the dynamically changing area, the irrigation volume can be increased according to the actual situation to ensure the normal growth of crops, which can not only improve the utilization efficiency of water resources, but also reduce the irrigation cost and achieve sustainable agricultural development.
[0028] Furthermore, in the present invention, when the soil is in a dynamically changing area, the water permeability is monitored and compared with a preset water permeability. If the water permeability is less than the preset value, it indicates that the water infiltration capacity of the soil is weak. At this time, not turning on irrigation can avoid water accumulation in the soil due to excessive irrigation, resulting in waste of water resources and adverse effects on the root system of crops. When the water permeability is greater than or equal to the preset value, it indicates that the water infiltration capacity of the soil is strong and water can penetrate into the soil faster. At this time, turning on irrigation can ensure that crops can be replenished with water in time when they need it. The above method improves the accuracy of the regional characteristics analysis of irrigated agricultural products and thus improves the utilization rate of water resources.
[0029] Furthermore, in the present invention, when the agricultural product area to be irrigated is a stable area, the soil moisture content and the precipitation in the future are comprehensively considered to determine whether to start irrigation. If the soil moisture content is already greater than the preset soil moisture content, or the precipitation in the future is expected to be large, then not starting irrigation can avoid the waste of water resources caused by excessive irrigation. When the soil moisture content is less than or equal to the preset soil moisture content, and the precipitation in the future is also small, then starting irrigation can ensure that crops are replenished with water in time when they need it. The above method improves the accuracy of the analysis of the characteristics of the agricultural product area to be irrigated and thus improves the utilization rate of water resources.
[0030] Furthermore, the different soil organic matter contents in the present invention reflect the soil's water and fertilizer retention capacity and structural characteristics. When the soil organic matter content is high, the soil usually has good water retention and air permeability, and can retain more water and nutrients. At this time, the dynamic flow irrigation method can be used to quickly adjust the irrigation water volume according to the needs of crops, ensuring that water can be supplied in time, while avoiding excessive irrigation and waste of water resources. When the soil organic matter content is low, the soil's water and fertilizer retention capacity is relatively weak. The low-flow infiltration irrigation method can allow water to slowly and evenly penetrate the soil, reduce water evaporation and loss, and improve the utilization efficiency of water resources. Different irrigation methods can better meet the water needs of crops at different growth stages. For example, during the vigorous growth period of crops, the demand for water is large. If the soil organic matter content is high, the dynamic flow irrigation method can quickly provide sufficient water; while in the early growth or maturity period of crops, the demand for water is relatively small. If the soil organic matter content is low, the low-flow infiltration irrigation method can avoid the adverse effects of excessive water on crops.
[0031] Furthermore, the present invention monitors the uniformity of soil moisture changes in the same irrigation area. When the uniformity is less than or equal to a preset uniformity, it indicates that the irrigation is relatively uniform and various parts of the soil have received a relatively reasonable water supply. When the uniformity is greater than the preset uniformity, it indicates that the irrigation is uneven and the irrigation control process needs to be adjusted. The difference in plant growth height in different irrigation areas reflects the inconsistency of plant growth conditions in each area. When the difference is less than or equal to a preset average value, it indicates that plant growth in different areas is relatively balanced and the irrigation control process is qualified. When the difference is greater than the preset average value, it indicates that there is a large difference in plant growth in different areas, which may be caused by uneven irrigation or irrigation equipment failure. At this time, the irrigation control process is adjusted. The above method improves the accuracy of regional characteristic analysis of irrigated agricultural products and thus improves water resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 This is a schematic diagram of the structure of an agricultural product irrigation control system based on the Internet of Things according to an embodiment of the present invention;
[0033] Figure 2 This is a workflow diagram of a data analysis module in an agricultural product irrigation control system based on the Internet of Things according to an embodiment of the present invention;
[0034] Figure 3 The present invention is a flowchart of the irrigation adjustment module in the agricultural product irrigation control system based on the Internet of Things according to an embodiment of the present invention. DETAILED DESCRIPTION
[0035] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0036] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.
[0037] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.
[0038] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0039] See also Figure 1-Figure 3 As shown, Figure 1 This is a schematic diagram of the structure of an agricultural product irrigation control system based on the Internet of Things according to an embodiment of the present invention; Figure 2 This is a workflow diagram of a data analysis module in an agricultural product irrigation control system based on the Internet of Things according to an embodiment of the present invention; Figure 3 The present invention is a flowchart of the irrigation adjustment module in the agricultural product irrigation control system based on the Internet of Things according to an embodiment of the present invention.
[0040] The agricultural product irrigation control system based on the Internet of Things in the embodiment of the present invention includes:
[0041] A data acquisition module, which is used to acquire soil data of the agricultural product area to be irrigated, precipitation data of the agricultural product area to be irrigated, and plant growth height data;
[0042] A data analysis module, which is connected to the data acquisition module, and is used to divide the agricultural product area to be irrigated into a dynamic change area and a stable area according to the average change amount of soil data within a first preset time, and determine whether to start irrigation based on the water penetration rate change parameter based on the agricultural product area to be irrigated being the dynamic change area, or determine whether to start irrigation based on the soil moisture content and the precipitation within a second preset time based on the agricultural product area to be irrigated being the stable area;
[0043] An irrigation method determination module, which is connected to the data analysis module and is used to determine whether to irrigate agricultural products using a dynamic flow irrigation method or a low flow infiltration irrigation method according to the soil organic matter content;
[0044] An irrigation adjustment module is connected to the irrigation method determination module, and is used to determine whether to adjust the agricultural product irrigation control process according to the uniformity of the change in soil moisture content in the same irrigation area during the irrigation process and the difference in plant growth heights in several different irrigation areas, wherein the irrigation adjustment module determines that the adjustment of the agricultural product irrigation control process includes replacing or repairing the sprinkler irrigation equipment or adjusting the parameters of the agricultural product irrigation control process, and the agricultural product irrigation control process parameters include a preset soil organic matter content and a preset soil moisture content.
[0045] In the embodiment of the present invention, the soil data of the agricultural product area to be irrigated includes but is not limited to "soil organic matter content data, soil moisture content data and soil moisture penetration rate data". The first preset time is set to 3 days, the second preset time is set to 1 day, and the third preset time is set to 10 days, but the above values are not limited to this. Technical personnel in this field can also adjust the values according to actual needs.
[0046] Specifically, the data analysis module divides the agricultural product area to be irrigated into a dynamic change area and a stable area according to the average change amount of soil data within the first preset time, including:
[0047] The data analysis module divides the agricultural product area to be irrigated into a stable area according to the comparison result that the average change amount of soil data within the first preset time period is less than or equal to the preset average change amount of soil data;
[0048] The data analysis module divides the agricultural product area to be irrigated into a dynamic change area according to the comparison result that the average change amount of soil data within the first preset time is greater than the preset average change amount of soil data.
[0049] The preset average soil data change in the embodiment of the present invention is the average soil data change in the agricultural product area to be irrigated within the first preset time, but the above value is not limited to this, and technicians in this field can also adjust the value according to actual needs.
[0050] The present invention can make more accurate irrigation decisions according to the characteristics of different regions by dividing the agricultural product area to be irrigated into a dynamically changing area and a stable area; for the stable area, since the soil data changes little, a relatively stable irrigation strategy can be adopted to avoid over-irrigation or under-irrigation, and for the dynamically changing area, the irrigation plan can be adjusted in time according to the change of soil data to ensure that crops can get suitable water supply under different soil conditions. Accurate irrigation decisions help optimize the allocation of water resources. In areas with tight water resources, this division method can ensure that limited water resources are preferentially allocated to the areas that need them most. For the stable area, the irrigation water volume can be appropriately reduced or the irrigation cycle can be extended to save water resources; for the dynamically changing area, the irrigation volume can be increased according to the actual situation to ensure the normal growth of crops, which can not only improve the utilization efficiency of water resources, but also reduce the irrigation cost and achieve sustainable agricultural development.
[0051] Specifically, the data analysis module determines whether to start irrigation based on the water penetration rate change parameter based on the agricultural product area to be irrigated being a dynamically changing area, including:
[0052] The data analysis module determines to start irrigation according to the comparison result that the water penetration rate is greater than or equal to the preset water penetration rate;
[0053] The data analysis module determines not to start irrigation according to the comparison result that the water penetration rate is less than the preset water penetration rate.
[0054] The preset moisture permeability rate in the embodiment of the present invention is the historical average value of the moisture permeability rate in the dynamically changing area, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.
[0055] In the present invention, when the soil is in a dynamically changing area, the water penetration rate is monitored and compared with the preset water penetration rate. If the water penetration rate is less than the preset value, it indicates that the water infiltration capacity of the soil is weak. At this time, not turning on irrigation can avoid water accumulation in the soil due to excessive irrigation, resulting in waste of water resources and adverse effects on the root system of crops. When the water penetration rate is greater than or equal to the preset value, it indicates that the water infiltration capacity of the soil is strong and water can penetrate into the soil faster. At this time, turning on irrigation can ensure that crops can be replenished with water in time when they need it. The above method improves the accuracy of regional characteristic analysis of irrigated agricultural products and thus improves the utilization rate of water resources.
[0056] Specifically, the data analysis module determines whether to start irrigation based on the agricultural product area to be irrigated being a stable area according to the soil moisture content and the precipitation within the second preset time, including:
[0057] The data analysis module determines to start irrigation according to a comparison result that the soil moisture content is less than or equal to the preset soil moisture content and the precipitation within the second preset time is less than or equal to the preset precipitation;
[0058] The data analysis module determines not to start irrigation according to a comparison result that the soil moisture content is greater than a preset soil moisture content or the precipitation within the second preset time is greater than a preset precipitation.
[0059] The preset soil moisture content in the embodiment of the present invention is determined based on the soil moisture content required for the normal growth of the agricultural products to be irrigated. For example, when strawberries are in the flowering and fruiting period, the preset soil moisture content can be set to 60%. The preset precipitation is determined based on the soil moisture content required for the normal growth of the agricultural products to be irrigated and the soil moisture content of the current agricultural products area to be irrigated. For example, when the soil moisture content of the current agricultural products area to be irrigated during the flowering and fruiting period of strawberries is 30%, the preset precipitation is the historical average precipitation when the soil moisture content in the area increases by 30%. However, the above values are not limited to this, and those skilled in the art may also adjust the values according to actual needs.
[0060] In the present invention, when the agricultural product area to be irrigated is a stable area, whether to start irrigation is determined by comprehensively considering the soil moisture content and the precipitation in the future. If the soil moisture content is already greater than the preset soil moisture content, or the precipitation in the future is expected to be large, not starting irrigation at this time can avoid the waste of water resources caused by excessive irrigation. When the soil moisture content is less than or equal to the preset soil moisture content, and the precipitation in the future is also small, starting irrigation at this time can ensure that crops are replenished with water in time when they need it. The above method improves the accuracy of the analysis of the characteristics of the agricultural product area to be irrigated and thus improves the utilization rate of water resources.
[0061] Specifically, the irrigation method determination module determines, according to the soil organic matter content, whether to irrigate agricultural products using a dynamic flow irrigation method or a low flow infiltration irrigation method, including:
[0062] The irrigation method determination module determines to irrigate agricultural products with a dynamic flow irrigation method according to the comparison result that the soil organic matter content is greater than or equal to the preset soil organic matter content;
[0063] The irrigation method determination module determines to irrigate agricultural products by a low-flow infiltration irrigation method according to a comparison result that the soil organic matter content is less than a preset soil organic matter content.
[0064] The method of irrigating agricultural products with a dynamic flow irrigation method in the embodiment of the present invention includes dynamically adjusting the irrigation flow according to different soil and crop conditions. For example, in the early stage of crop growth, the root system has not yet fully developed and the demand for water is relatively small. At this time, the irrigation flow can be set to a lower level to avoid root hypoxia caused by excessive water. As the crops grow, the root system gradually expands and the demand for water increases. The irrigation system will gradually increase the flow to meet the growth needs of the crops. At the same time, if the soil moisture content is monitored to be too high, the system will automatically reduce the irrigation flow or suspend irrigation to prevent excessive irrigation from causing water resource waste and soil waterlogging. The method of irrigating agricultural products with a low flow infiltration irrigation method includes water being transported from a water source through a water pipeline to the area to be irrigated, and then passing through the tiny pores or outlets on the infiltration irrigation pipe to slowly infiltrate the soil at a lower flow rate. The preset soil organic matter content is the average value of the soil organic matter content in the agricultural product area to be irrigated. The above value is not limited to this, and those skilled in the art can also adjust the value according to actual needs.
[0065] In the present invention, different soil organic matter contents reflect the water and fertilizer retention capacity and structural characteristics of the soil. When the soil organic matter content is high, the soil usually has good water retention and air permeability, and can retain more water and nutrients. At this time, the dynamic flow irrigation method can be used to quickly adjust the irrigation water volume according to the needs of crops, ensure that water can be supplied in time, and avoid excessive irrigation to cause water waste. When the soil organic matter content is low, the soil water and fertilizer retention capacity is relatively weak. The low-flow infiltration irrigation method can make water slowly and evenly infiltrate the soil, reduce water evaporation and loss, and improve the utilization efficiency of water resources. Different irrigation methods can better meet the water needs of crops at different growth stages. For example, in the vigorous growth period of crops, the demand for water is large. If the soil organic matter content is high, the dynamic flow irrigation method can quickly provide sufficient water; while in the early growth or maturity period of crops, the demand for water is relatively small. If the soil organic matter content is low, the low-flow infiltration irrigation method can avoid the adverse effects of excessive water on crops.
[0066] Specifically, the irrigation adjustment module determines whether to adjust the agricultural product irrigation control process according to the uniformity of the soil moisture change in the same irrigation area during the irrigation process and the difference in plant growth heights in a plurality of different irrigation areas within a third preset time, including:
[0067] The irrigation adjustment module determines the adjustment of the agricultural product irrigation control process according to the comparison result that the uniformity of the soil moisture change in the same irrigation area during the irrigation process is greater than the preset uniformity or the difference in the plant growth height of several different irrigation areas within the third preset time is greater than the preset average value;
[0068] The irrigation adjustment module determines not to adjust the agricultural product irrigation control process according to the comparison result that the uniformity of the soil moisture change in the same irrigation area during the irrigation process is less than or equal to the preset uniformity and the difference in plant growth heights in several different irrigation areas within a third preset time is less than or equal to the preset average value.
[0069] In the embodiment of the present invention, the uniformity of soil moisture change is the variance of soil moisture change in the same irrigation area during irrigation, and the plant growth height difference is the average value of the maximum difference in plant growth height in several different irrigation areas within the third preset time.
[0070] The preset uniformity in the embodiment of the present invention is the average value of the uniformity of the change in soil moisture content in the agricultural product area to be irrigated within the same time during the irrigation process, and the difference in plant growth height is one tenth of the plant growth height within the third preset time. The above values are not limited to this, and technicians in this field can also adjust the values according to actual needs.
[0071] In the embodiment of the present invention, if the uniformity of the change in soil moisture content in the same irrigation area during the irrigation process is greater than a preset uniformity, it is determined to replace or repair the sprinkler equipment; if the difference in plant growth height in several different irrigation areas within the third preset time is greater than a preset average value, it is determined to adjust the parameters of the agricultural product irrigation control process.
[0072] Specifically, the irrigation adjustment module determines to adjust the preset soil organic matter content with a first adjustment coefficient and to adjust the preset soil moisture content with a second adjustment coefficient under the condition of determining the adjustment of the agricultural product irrigation control process parameters.
[0073] In the embodiment of the present invention, the value range of the first adjustment coefficient is set to 0.86-0.97, and the value range of the second adjustment coefficient is set to 1.04-1.18. The above values are not limited to this, and technical personnel in this field can also adjust the values according to actual needs; the adjustment amount of the preset organic matter content is negatively correlated with the difference in plant growth heights in several different irrigation areas within the third preset time, and the adjustment amount of the preset soil moisture content is positively correlated with the difference in plant growth heights in several different irrigation areas within the third preset time.
[0074] The present invention monitors the uniformity of soil moisture changes in the same irrigation area. When the uniformity is less than or equal to a preset uniformity, it indicates that the irrigation is relatively uniform and each part of the soil has obtained a relatively reasonable water supply. When the uniformity is greater than the preset uniformity, it indicates that the irrigation is uneven and the irrigation control process needs to be adjusted. The difference in plant growth heights in different irrigation areas reflects the inconsistency of plant growth conditions in each area. When the difference is less than or equal to a preset average value, it indicates that the plant growth in different areas is relatively balanced and the irrigation control process is qualified. When the difference is greater than the preset average value, it indicates that there is a large difference in plant growth in different areas, which may be caused by uneven irrigation or irrigation equipment failure. At this time, the irrigation control process is adjusted. The above method improves the accuracy of regional characteristic analysis of irrigated agricultural products and thus improves water resource utilization.
[0075] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.
[0076] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. An agricultural product irrigation control system based on the Internet of Things, characterized in that: include: A data acquisition module, which is used to acquire soil data of the agricultural product area to be irrigated, precipitation data of the agricultural product area to be irrigated, and plant growth height data; A data analysis module, which is connected to the data acquisition module, and is used to divide the agricultural product area to be irrigated into a dynamic change area and a stable area according to the average change amount of soil data within a first preset time, and determine whether to start irrigation based on the water penetration rate change parameter based on the agricultural product area to be irrigated being the dynamic change area, or determine whether to start irrigation based on the soil moisture content and the precipitation within a second preset time based on the agricultural product area to be irrigated being the stable area; An irrigation method determination module, which is connected to the data analysis module and is used to determine whether to irrigate agricultural products using a dynamic flow irrigation method or a low flow infiltration irrigation method according to the soil organic matter content; An irrigation adjustment module is connected to the irrigation method determination module, and is used to determine whether to adjust the agricultural product irrigation control process according to the uniformity of the change in soil moisture content in the same irrigation area during the irrigation process and the difference in plant growth heights in several different irrigation areas, wherein the irrigation adjustment module determines that the adjustment of the agricultural product irrigation control process includes replacing or repairing the sprinkler irrigation equipment or adjusting the parameters of the agricultural product irrigation control process, and the agricultural product irrigation control process parameters include a preset soil organic matter content and a preset soil moisture content.
2. The agricultural product irrigation control system based on the Internet of Things according to claim 1 is characterized in that: The data analysis module divides the agricultural product area to be irrigated into a dynamic change area and a stable area according to the average change amount of soil data within a first preset time, including: The data analysis module divides the agricultural product area to be irrigated into a stable area according to the comparison result that the average change amount of soil data within the first preset time period is less than or equal to the preset average change amount of soil data; The data analysis module divides the agricultural product area to be irrigated into a dynamic change area according to the comparison result that the average change amount of soil data within the first preset time is greater than the preset average change amount of soil data.
3. The agricultural product irrigation control system based on the Internet of Things according to claim 2 is characterized in that: The preset average soil data change is determined according to the average soil data change of the agricultural product area to be irrigated within the first preset time.
4. The agricultural product irrigation control system based on the Internet of Things according to claim 3 is characterized in that: The data analysis module determines whether to start irrigation based on the water penetration rate change parameter based on the agricultural product area to be irrigated being a dynamically changing area, including: The data analysis module determines to start irrigation according to the comparison result that the water penetration rate is greater than or equal to the preset water penetration rate.
5. The agricultural product irrigation control system based on the Internet of Things according to claim 3 is characterized in that: The data analysis module determines whether to start irrigation based on the agricultural product area to be irrigated being a stable area according to the soil moisture content and the precipitation within the second preset time, including: The data analysis module determines to start irrigation according to a comparison result that the soil moisture content is less than or equal to the preset soil moisture content and the precipitation within the second preset time is less than or equal to the preset precipitation.
6. The agricultural product irrigation control system based on the Internet of Things according to claim 4, characterized in that: The preset moisture penetration rate is determined according to the historical average moisture penetration rate of the dynamically changing area.
7. The agricultural product irrigation control system based on the Internet of Things according to claim 6, characterized in that: The irrigation method determination module determines, according to the soil organic matter content, whether to irrigate agricultural products using a dynamic flow irrigation method or a low flow infiltration irrigation method, including: The irrigation method determination module determines to irrigate agricultural products with a dynamic flow irrigation method according to the comparison result that the soil organic matter content is greater than or equal to the preset soil organic matter content; The irrigation method determination module determines to irrigate agricultural products by a low-flow infiltration irrigation method according to a comparison result that the soil organic matter content is less than a preset soil organic matter content.
8. The agricultural product irrigation control system based on the Internet of Things according to claim 7, characterized in that: The preset soil organic matter content is determined according to the average value of the soil organic matter content in the agricultural product area to be irrigated.
9. The agricultural product irrigation control system based on the Internet of Things according to claim 8, characterized in that: The irrigation adjustment module determines whether to adjust the agricultural product irrigation control process according to the uniformity of the soil moisture change in the same irrigation area during the irrigation process and the difference in plant growth heights in a plurality of different irrigation areas within a third preset time, including: The irrigation adjustment module determines the adjustment of the agricultural product irrigation control process according to the comparison result that the uniformity of the soil moisture change in the same irrigation area during the irrigation process is greater than the preset uniformity or the difference in plant growth height in several different irrigation areas within the third preset time is greater than the preset average value.
10. The agricultural product irrigation control system based on the Internet of Things according to claim 9, characterized in that: The adjustment amount of the preset organic matter content is negatively correlated with the difference in plant growth heights in several different irrigation areas within the third preset time, and the adjustment amount of the preset soil moisture content is positively correlated with the difference in plant growth heights in several different irrigation areas within the third preset time.
Citation Information
Patent Citations
Intelligent irrigation control system
CN106386410A
Cited By
Precise potato irrigation system based on Internet of Things
CN120787691A