Method, device, equipment and medium for irrigation of saline-alkali land with high-concentration saline water resources

Abstract

The application relates to the technical field of agricultural intelligent irrigation, in particular to a saline-alkali soil high-concentration saline water resource irrigation utilization method, device, equipment and medium. The saline-alkali soil high-concentration saline water resource irrigation utilization method comprises the following steps: according to the variety attribute of a target sowing variety, determining the planting requirement and irrigation target of the target sowing variety; analyzing the planting requirement to determine the preliminary irrigation condition; detecting the soil data and environmental data of a target saline-alkali soil, and sowing the target sowing variety on the target saline-alkali soil; according to the irrigation target, analyzing the soil data, environmental data and preliminary irrigation condition to determine the irrigation time of the target saline-alkali soil. Through the analysis of the planting requirement, the irrigation condition can be preliminarily determined, which helps to reduce the search range of the subsequent irrigation time determination and improve the determination efficiency. In turn, the irrigation efficiency is improved, the utilization efficiency of the saline-alkali soil and the saline water is improved, and the yield of winter wheat in the saline-alkali soil is improved.

Description

Technical Field

[0001] This application relates to the field of agricultural intelligent irrigation technology, and in particular to a method, device, equipment and medium for irrigating high-concentration saline water resources in saline-alkali land. Background Technology

[0002] Saline-alkali land refers to soil containing excessive salt, leading to soil salinization and negatively impacting crop growth. The formation of saline-alkali land is related to factors such as climate, topography, groundwater, and geology, with high groundwater mineralization and high evaporation rates being the primary causes. The salt in saline-alkali land hardens and compacts the soil, hindering root growth and water absorption. Furthermore, the salt forms salt deposits or salt patches on the soil surface, negatively affecting crop yield and quality. In my country, some regions possess vast amounts of saline-alkali land, which, if left uncultivated, would represent a significant waste of land resources. While many areas utilize rain-fed dryland farming, relying solely on rainfall to meet the water needs of winter wheat in saline-alkali land can lead to reduced yields or even crop failure due to drought.

[0003] Currently, brackish / saline water resources can be used for agricultural irrigation. However, irrigation with high-concentration saline water resources will lead to the accumulation of salt in the soil, causing soil compaction and hardening, affecting the extension of crop roots and water penetration, and causing winter wheat in saline-alkali land to suffer from salt damage, resulting in reduced yield or crop failure. Consequently, the utilization rate of high-concentration saline water in the irrigation of saline-alkali land is currently low. Summary of the Invention

[0004] In order to improve the utilization efficiency of saline-alkali land and high-concentration saline water, and thus increase the yield of winter wheat in saline-alkali land, this application provides a method, apparatus, equipment and medium for irrigation utilization of high-concentration saline water resources in saline-alkali land.

[0005] In a first aspect, this application provides a method for irrigating high-concentration saline water resources in saline-alkali land, comprising:

[0006] Based on the variety attributes of the target sowing variety, determine the planting requirements and irrigation targets for the target sowing variety;

[0007] Analyze the planting needs and determine the preliminary irrigation conditions;

[0008] Soil and environmental data of the target saline-alkali land are detected, and the target seed variety is sown on the target saline-alkali land;

[0009] Based on the irrigation target, the soil data, environmental data, and preliminary irrigation conditions are analyzed to determine the irrigation time for the target saline-alkali land.

[0010] By employing the aforementioned technical solutions, analyzing the varietal attributes of the target planting varieties, and determining their planting needs and irrigation targets, we can provide fundamental data support for determining subsequent irrigation times. Analysis of planting needs allows for the preliminary determination of irrigation conditions, which helps narrow down the search scope for determining subsequent irrigation times and improves efficiency. Detecting soil and environmental data from the target saline-alkali land provides more specific and realistic soil and environmental information, which helps to determine irrigation times more accurately. Finally, combining irrigation targets, soil data, environmental data, and preliminary irrigation conditions, we can more precisely determine the irrigation time for the target saline-alkali land. This helps improve irrigation efficiency and the safe use of saline water, ensuring the healthy growth of the target planting varieties.

[0011] Optionally, the variety attributes include growth characteristics and salt tolerance; determining the planting requirements and irrigation targets of the target sown variety based on its variety attributes includes:

[0012] Based on the growth attributes, salt tolerance, and soil conditions of the target saline-alkali land, determine the corresponding sowing depth, sowing density, fertilization requirements, and target irrigation period, wherein the irrigation time is within the target irrigation period.

[0013] The planting requirements for the target sown variety are determined based on the sowing depth, sowing density, fertilization requirements, and target irrigation period.

[0014] Analyze the growth attributes to determine the soil moisture requirements and water requirements of the target sown variety;

[0015] Based on the soil moisture requirements and water demand characteristics, the irrigation method for the target saline-alkali land is determined;

[0016] Based on the planting requirements and the irrigation method, an irrigation target for the target sowing variety is generated.

[0017] By adopting the above-mentioned technical solutions, the varietal attributes of the target planting varieties, including growth characteristics and salt tolerance, are incorporated into irrigation management. This allows for the targeted formulation of planting needs and irrigation targets, thereby optimizing soil management and irrigation strategies for saline-alkali land. By comprehensively considering the growth attributes and salt tolerance of the target planting varieties and the soil conditions of the target saline-alkali land, appropriate sowing depth, sowing density, fertilization requirements, and target irrigation periods are determined, ensuring optimized allocation and efficient use of irrigation water. This method not only improves the success rate and yield of winter wheat planting in saline-alkali land but also effectively prevents soil compaction and hardening caused by irrigation with high-concentration saline water, increasing the utilization efficiency of saline-alkali land. Furthermore, by analyzing the growth attributes and water requirements of the target planting varieties, soil moisture requirements are rationally determined, and the most appropriate irrigation method is selected, ensuring that soil moisture conditions meet the needs of crop growth while avoiding water waste and soil salinity accumulation caused by excessive irrigation. The resulting irrigation targets are more scientific and precise, effectively guiding irrigation activities for crops on saline-alkali land, achieving efficient resource utilization, and maximizing the economic and ecological benefits of saline-alkali land.

[0018] Optionally, the analysis of planting needs and determination of preliminary irrigation conditions includes:

[0019] Analyze the planting requirements and determine several planting attribute points of the target sowing variety. The planting attribute points are associated with the variety attributes of the target sowing variety.

[0020] Based on preset irrigation options, the corresponding irrigation conditions are matched for each planting attribute point.

[0021] Preliminary irrigation conditions are generated based on the irrigation conditions corresponding to the aforementioned planting attribute points.

[0022] By adopting the above technical solution, planting attribute points related to the target variety can be accurately determined according to its planting needs. This ensures that the determined irrigation conditions match the actual needs of the variety. Based on preset irrigation options, corresponding irrigation conditions can be matched for each planting attribute point. This matching method considers various possible conditions, thereby providing the optimal irrigation plan for the crop. By determining irrigation conditions based on planting attribute points, preliminary irrigation conditions can be generated. This not only simplifies the irrigation decision-making process but also helps improve irrigation efficiency and ensures that crops receive adequate water. The analysis of planting attribute points, the matching of irrigation conditions, and the generation of preliminary irrigation conditions can be performed automatically. This greatly reduces the need for manual intervention and improves the accuracy and efficiency of decision-making. The preset irrigation options can be adjusted according to different soil conditions, climate changes, and other environmental factors, making irrigation decisions more adaptable to various actual situations.

[0023] Optionally, the environmental data includes current environmental data and future environmental data; the step of analyzing the soil data, the environmental data, and the preliminary irrigation conditions based on the irrigation target to determine the irrigation time for the target saline-alkali land includes:

[0024] Analyze the soil data to determine the distribution data of moisture and salinity in the target saline-alkali land;

[0025] Based on the distribution data, the water absorption capacity and salt accumulation level of the soil in the target saline-alkali land are determined;

[0026] Analyze the current environmental data to determine the current environmental impact information of environmental factors on the target sown variety at the current moment. The current environmental impact information includes the impact on crop growth and the impact on water evaporation.

[0027] The preliminary irrigation conditions are adjusted according to the irrigation target to determine the target irrigation conditions;

[0028] Based on the target irrigation conditions, water absorption performance, salt accumulation level, current environmental impact information, and future environmental data, the irrigation time for the target saline-alkali land is predicted.

[0029] By adopting the above technical solution, not only current environmental data but also future environmental data are considered. This makes the determination of irrigation time more accurate and forward-looking, enabling better response to the impact of environmental changes on crop growth. By analyzing soil data, this embodiment can determine the moisture and salinity distribution of the target saline-alkali land. This helps to understand the soil's water absorption capacity and salinity accumulation, providing more precise guidance for irrigation. Current environmental data is used to assess the real-time impact of environmental factors on the target crop variety, including crop growth and water evaporation. This allows irrigation decisions to better adapt to real-time environmental changes. Based on the irrigation target and preliminary irrigation conditions, this embodiment can adjust them to determine more accurate target irrigation conditions. This ensures the effectiveness and targeting of irrigation. Combining target irrigation conditions, soil characteristics, environmental impacts, and future environmental data, this embodiment can predict the irrigation time for the target saline-alkali land, providing a scientific basis for agricultural production. Therefore, this embodiment can improve the efficiency and accuracy of irrigation, thereby promoting healthy crop growth and increasing yield and quality. Accurate irrigation time prediction helps reduce water waste and excessive soil salinity accumulation after irrigation, lowering production costs and promoting the sustainable development of agricultural production.

[0030] Optionally, predicting the irrigation time for the target saline-alkali land based on the target irrigation conditions, water absorption performance, salinity accumulation level, current environmental impact information, and future environmental data includes:

[0031] Data processing is performed on the target irrigation conditions, water absorption performance, salt accumulation level, current environmental impact information, and future environmental data to obtain basic prediction data. The data processing process includes data cleaning.

[0032] The predicted basic data is input into a preset irrigation time prediction model, which outputs the irrigation time for the target saline-alkali land.

[0033] By employing the above technical solutions, the data cleaning process ensures the accuracy and reliability of the input data, avoiding the impact of outliers, missing values, and duplicate data on the prediction results. This helps improve the accuracy of irrigation time prediction. Using a pre-set irrigation time prediction model, the irrigation time for the target saline-alkali land can be calculated comprehensively based on multiple factors. This model, after training and optimization, has high prediction accuracy and can provide a scientific basis for agricultural production. Accurate irrigation time prediction can reduce water waste and excessive soil salinity accumulation after irrigation, improving irrigation efficiency. This helps reduce production costs and achieve sustainable agricultural development. It can also be adjusted and optimized according to actual conditions to adapt to the irrigation needs of different regions and crops. This provides more flexible and adaptable decision support for agricultural production. Accurate irrigation time prediction ensures that crops receive adequate water supply, promoting their healthy growth. This helps improve crop yield and quality, increasing the efficiency of agricultural production.

[0034] Secondly, this application provides a device for irrigating saline-alkali land with high-concentration saline water resources, comprising:

[0035] The irrigation target determination module is used to determine the planting requirements and irrigation targets of the target sowing variety based on the variety attributes of the target sowing variety.

[0036] The preliminary irrigation conditions determination module is used to analyze the planting requirements and determine the preliminary irrigation conditions.

[0037] The data detection module is used to detect soil and environmental data of the target saline-alkali land, and the target seed variety is sown on the target saline-alkali land;

[0038] The irrigation time determination module is used to analyze the soil data, the environmental data, and the preliminary irrigation conditions based on the irrigation target to determine the irrigation time for the target saline-alkali land.

[0039] Optionally, the variety attributes include growth characteristics and salt tolerance; the irrigation target determination module is specifically used for:

[0040] Based on the growth attributes, salt tolerance, and soil conditions of the target saline-alkali land, determine the corresponding sowing depth, sowing density, fertilization requirements, and target irrigation period, wherein the irrigation time is within the target irrigation period.

[0041] The planting requirements for the target sown variety are determined based on the sowing depth, sowing density, fertilization requirements, and target irrigation period.

[0042] Analyze the growth attributes to determine the soil moisture requirements and water requirements of the target sown variety;

[0043] Based on the soil moisture requirements and water demand characteristics, the irrigation method for the target saline-alkali land is determined;

[0044] Based on the planting requirements and the irrigation method, an irrigation target for the target sowing variety is generated.

[0045] Optionally, the preliminary irrigation conditions determination module is specifically used for:

[0046] Analyze the planting requirements and determine several planting attribute points of the target sowing variety. The planting attribute points are associated with the variety attributes of the target sowing variety.

[0047] Based on preset irrigation options, the corresponding irrigation conditions are matched for each planting attribute point.

[0048] Preliminary irrigation conditions are generated based on the irrigation conditions corresponding to the aforementioned planting attribute points.

[0049] Optionally, the environmental data includes current environmental data and future environmental data; the irrigation time determination module is specifically used for:

[0050] Analyze the soil data to determine the distribution data of moisture and salinity in the target saline-alkali land;

[0051] Based on the distribution data, the water absorption capacity and salt accumulation level of the soil in the target saline-alkali land are determined;

[0052] Analyze the current environmental data to determine the current environmental impact information of environmental factors on the target sown variety at the current moment. The current environmental impact information includes the impact on crop growth and the impact on water evaporation.

[0053] The preliminary irrigation conditions are adjusted according to the irrigation target to determine the target irrigation conditions;

[0054] Based on the target irrigation conditions, water absorption performance, salt accumulation level, current environmental impact information, and future environmental data, the irrigation time for the target saline-alkali land is predicted.

[0055] Optionally, when the irrigation time determination module predicts the irrigation time for the target saline-alkali land based on the target irrigation conditions, the water absorption performance, the degree of salinity accumulation, the current environmental impact information, and the future environmental data, it is specifically used for:

[0056] Data processing is performed on the target irrigation conditions, water absorption performance, salt accumulation level, current environmental impact information, and future environmental data to obtain basic prediction data. The data processing process includes data cleaning.

[0057] The predicted basic data is input into a preset irrigation time prediction model, which outputs the irrigation time for the target saline-alkali land.

[0058] Thirdly, this application provides an electronic device, including: a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the method of the first aspect.

[0059] Fourthly, this application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute the method of the first aspect. Attached Figure Description

[0060] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0061] Figure 1 This is a schematic diagram illustrating an application scenario provided in one embodiment of this application;

[0062] Figure 2 A flowchart illustrating a method for irrigating and utilizing high-concentration saline water resources in saline-alkali land, provided as an embodiment of this application;

[0063] Figure 3 This is a schematic diagram of a device for irrigating and utilizing high-concentration saline water resources in saline-alkali land, provided in an embodiment of this application.

[0064] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0065] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0066] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0067] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0068] Compared to other types of land, saline-alkali land is not suitable for planting. However, large areas of saline-alkali land exist in some inland basins, mountain depressions, and parts of the Huang-Huai-Hai Plain. Without cultivation, this would result in a significant waste of land resources. Currently, many areas rely on rain-fed dryland farming for saline-alkali land cultivation. However, relying solely on rainfall to meet the water needs of winter wheat in saline-alkali land may lead to reduced yields or even crop failure due to drought. In related technologies, some areas have attempted to irrigate saline-alkali land with high-concentration saline water. However, irrigation with high-concentration saline water leads to salt accumulation in the soil, causing soil compaction and hardening, affecting crop root development and water penetration, resulting in reduced yields or crop failure of winter wheat in saline-alkali land due to salt damage. Consequently, the utilization rate of high-concentration saline water for saline-alkali land irrigation is currently low.

[0069] Based on this, this application provides a method, apparatus, equipment, and medium for irrigating high-concentration saline water resources in saline-alkali land. The method involves determining the planting requirements and irrigation targets of the target sown variety based on its varietal attributes; analyzing the planting requirements to determine preliminary irrigation conditions; detecting soil and environmental data of the target saline-alkali land; and sowing the target variety on the target saline-alkali land. Based on the irrigation targets, the method analyzes the soil data, environmental data, and preliminary irrigation conditions to determine the irrigation time for the target saline-alkali land.

[0070] Figure 1 This is a schematic diagram illustrating an application scenario provided by this application. Target seed varieties can be planted in saline-alkali land, and several data monitoring devices can be set up around the saline-alkali land to collect soil and environmental data. Figure 1In the application scenario shown, the method for irrigating high-concentration saline water resources in saline-alkali land can be built on an irrigation utilization server. The irrigation utilization server can interact with data monitoring equipment, receive soil and environmental data, and analyze irrigation time.

[0071] For specific implementation details, please refer to the following examples.

[0072] Figure 2 This is a flowchart illustrating a method for irrigating and utilizing high-concentration saline water resources in saline-alkali land, provided as an embodiment of this application. The method of this embodiment can be applied to the irrigation utilization server in the above scenario. Figure 2 As shown, the method includes:

[0073] S201. Based on the varietal attributes of the target sowing variety, determine the planting requirements and irrigation targets for the target sowing variety.

[0074] The target variety can be used to indicate the type of crop to be planted on saline-alkali land. Variety attributes can include the target variety's jointing-heading stage, growth habits, and adaptability to soil type and fertility. The jointing stage is a critical stage of crop growth, during which the crop requires sufficient water and nutrients to support its rapid growth. The heading stage is an important stage of reproductive growth, directly affecting crop yield and quality. Planting requirements can include critical irrigation periods and nutrient requirements. Irrigation targets can include soil moisture conditions and soil pH values.

[0075] Specifically, the varietal attributes of the target crop can be directly obtained, and the critical irrigation periods can be determined based on the jointing and heading stages. For example, if a variety requires sufficient water during the jointing and heading stages, the frequency and amount of irrigation should be increased during these stages. The requirements for major nutrients such as nitrogen, phosphorus, and potassium should be determined according to the variety's characteristics. Rational fertilization should meet the nutrient needs of crop growth, improving its resistance to stress and yield. Appropriate soil moisture conditions should be set based on the crop's growth needs and factors such as soil texture and water retention capacity. For example, during the jointing stage, soil moisture should be maintained at 60%-80% of field capacity; during the heading stage, it should be increased to 70%-90%. Soil pH also has a significant impact on crop growth. The soil pH should be adjusted to a suitable range (generally 6.5-7.5) according to the requirements of the target crop. Excessively acidic or alkaline soil conditions will affect the crop's nutrient absorption, thus affecting yield and quality.

[0076] S202. Analyze planting needs and determine preliminary irrigation conditions.

[0077] Specifically, a thorough analysis of the varietal attributes of the target wheat variety can be conducted. Taking wheat as an example, key varietal attributes include its growth cycle, soil type requirements, drought tolerance, and salt tolerance. These attributes directly influence the setting of planting needs and irrigation targets. Based on varietal attributes, planting needs can be further determined. For example, if a wheat variety has high water requirements during the jointing and heading stages, then appropriate soil moisture needs to be maintained during these two key growth periods. Furthermore, considering that wheat may have certain requirements for soil pH, we also need to ensure that the soil pH is within a suitable range. Based on planting needs, preliminary irrigation conditions can be set. For example, during the jointing and heading stages, regular irrigation may be necessary to meet the wheat's water requirements and ensure that soil moisture is maintained at an appropriate level. Simultaneously, to maintain a suitable soil pH, appropriate fertilizers or soil conditioners may be required.

[0078] S203. Detect soil and environmental data of the target saline-alkali land, and sow the target seeding variety on the target saline-alkali land.

[0079] Soil data can include soil pH, salinity, organic matter content, soil texture, and soil temperature. Environmental data can include meteorological data (such as temperature, rainfall, and wind speed), light intensity, and atmospheric humidity.

[0080] Specifically, the irrigation utilization server can receive soil and environmental data sent by data detection equipment, which may include soil testing instruments and environmental monitoring equipment. Different crops have different growth requirements, salt and alkali tolerance levels, and adaptability to different climatic conditions, allowing for selection based on these factors. For example, if the soil pH is high, alkali-tolerant crop varieties may need to be selected; if the soil salinity is high, salt-tolerant crop varieties may need to be selected. Therefore, the target crop variety corresponds to the actual conditions of the target saline-alkali land.

[0081] S204. Based on the irrigation target, analyze soil data, environmental data, and preliminary irrigation conditions to determine the irrigation time for the target saline-alkali land.

[0082] Irrigation objectives may include maintaining soil moisture within a suitable range, promoting crop growth, and controlling salinity.

[0083] Specifically, analyzing soil data based on irrigation targets can determine the current soil condition and whether irrigation is necessary. For example, if soil moisture is low, irrigation may be needed to replenish water; if soil salinity is too high, irrigation may be needed to reduce salinity. Analyzing environmental data can determine whether environmental conditions are favorable for crop growth and irrigation. For example, if temperatures are high and sunlight is abundant, crops may require more water, thus requiring consideration of increased irrigation. When analyzing soil and environmental data, preliminary irrigation conditions can be referenced. These conditions may include a suitable soil moisture range, irrigation frequency, etc. By comprehensively considering preliminary conditions and actual data, the irrigation time can be determined more precisely. Based on the above analysis, the specific irrigation time can be determined. This may include the start time, duration, and frequency of irrigation. For example, if soil moisture is below the suitable range and there is insufficient rainfall in the next few days, irrigation may need to be scheduled in the near future.

[0084] In some implementation methods, irrigation can be carried out after the irrigation time has been determined. During implementation, crop growth and soil changes can be observed, and adjustments can be made based on the actual situation. For example, if poor crop growth or deteriorating soil conditions are found, it may be necessary to reassess and adjust the irrigation plan.

[0085] This embodiment analyzes the varietal attributes of the target planting variety to determine its planting needs and irrigation targets, providing fundamental data support for subsequent irrigation timing determination. Analysis of planting needs allows for preliminary determination of irrigation conditions, which helps narrow the search range for subsequent irrigation timing determination and improves efficiency. Detecting soil and environmental data from the target saline-alkali land yields more specific and realistic soil and environmental information, aiding in more accurate irrigation timing determination. Finally, combining irrigation targets, soil data, environmental data, and preliminary irrigation conditions, the irrigation time for the target saline-alkali land can be determined more precisely, improving irrigation efficiency and ensuring the healthy growth of the target planting variety.

[0086] In some embodiments, variety attributes include growth characteristics and salt tolerance. Based on the growth attributes, salt tolerance, and soil conditions of the target saline-alkali land, the corresponding sowing depth, sowing density, fertilization requirements, and target irrigation period can be determined, with irrigation occurring within the target irrigation period. The planting requirements of the target variety are determined based on the sowing depth, sowing density, fertilization requirements, and target irrigation period. The soil moisture requirements and water requirements of the target variety are analyzed to determine these characteristics. The irrigation method for the target saline-alkali land is determined based on these requirements and water requirements. Finally, irrigation targets for the target variety are generated based on the planting requirements and irrigation method.

[0087] Specifically, based on the growth attributes, salt tolerance, and soil conditions of the target saline-alkali land, the corresponding sowing depth, sowing density, and fertilization requirements can be determined. Considering the special characteristics of saline-alkali land, a target irrigation period can also be determined to ensure irrigation occurs within this timeframe. Based on the determined sowing depth, sowing density, fertilization requirements, and target irrigation period, the planting requirements of the target variety can be derived, including but not limited to its needs for soil moisture, nutrients, and irrigation. Further analysis of growth attributes can provide a more precise understanding of the target variety's soil moisture requirements and water requirements. This information is crucial for precision irrigation. Based on the aforementioned soil moisture requirements and water requirements, the irrigation method for the target saline-alkali land can be determined. For example, whether sprinkler irrigation, drip irrigation, or flood irrigation is needed. Finally, combining the planting requirements and irrigation method, we can generate irrigation targets for the target variety, which can include irrigation time, irrigation volume, irrigation frequency, and other detailed information.

[0088] This embodiment optimizes soil management and irrigation strategies for saline-alkali land by incorporating the varietal attributes of the target sown variety, including its growth characteristics and salt tolerance, into irrigation management. By comprehensively considering the growth attributes and salt tolerance of the target sown variety and the soil conditions of the target saline-alkali land, appropriate sowing depth, sowing density, fertilization requirements, and target irrigation periods are determined, ensuring optimized allocation and efficient use of irrigation water. This method not only improves the success rate and yield of winter wheat planting in saline-alkali land but also effectively prevents soil compaction and hardening caused by irrigation with high-concentration saline water, increasing the utilization efficiency of saline-alkali land. Furthermore, by analyzing the growth attributes and water requirements of the target sown variety, soil moisture requirements are rationally determined, and the most appropriate irrigation method is selected, ensuring that soil moisture conditions meet the needs of crop growth while avoiding water waste and soil salinity accumulation caused by excessive irrigation. The resulting irrigation targets are more scientific and precise, effectively guiding crop irrigation activities on saline-alkali land, achieving efficient resource utilization, and maximizing the economic and ecological benefits of saline-alkali land.

[0089] In some embodiments, planting needs can be analyzed to determine several planting attribute points of the target planting variety, and the planting attribute points are associated with the variety attributes of the target planting variety; based on preset irrigation options, corresponding irrigation conditions are matched for each planting attribute point; and preliminary irrigation conditions are generated according to the irrigation conditions corresponding to each of the several planting attribute points.

[0090] Planting attributes can include the root system requirements of the variety, specific requirements for soil moisture and nutrients, etc.

[0091] Specifically, based on the planting requirements determined in the aforementioned embodiments, several planting attribute points closely related to the variety attributes of the target planting variety can be further refined. Based on preset irrigation options, one or more suitable irrigation conditions can be matched for each planting attribute point. For example, if the variety requires deep roots, deep irrigation or periodic irrigation can be selected; if the variety is sensitive to soil moisture, a precise water control irrigation method can be selected. By combining the irrigation conditions corresponding to each planting attribute point, preliminary irrigation conditions can be generated. These conditions can serve as the basis for subsequently determining the precise irrigation time. Through this step, we can provide more precise and specific preliminary irrigation conditions for subsequent irrigation time determination, thereby ensuring that the crop receives appropriate irrigation to meet its growth needs.

[0092] This embodiment can accurately determine planting attribute points related to the planting needs of the target variety. This ensures that the determined irrigation conditions match the actual needs of the variety. Based on preset irrigation options, corresponding irrigation conditions can be matched for each planting attribute point. This matching method considers various possible conditions, thereby providing the optimal irrigation plan for the crop. By determining irrigation conditions based on planting attribute points, preliminary irrigation conditions can be generated. This not only simplifies the irrigation decision-making process but also helps improve irrigation efficiency and ensures that crops receive adequate water. The analysis of planting attribute points, the matching of irrigation conditions, and the generation of preliminary irrigation conditions can be performed automatically. This greatly reduces the need for manual intervention and improves the accuracy and efficiency of decision-making. The preset irrigation options can be adjusted according to different soil conditions, climate changes, and other environmental factors, making irrigation decisions more adaptable to various actual situations.

[0093] In some embodiments, environmental data includes current environmental data and future environmental data. Soil data can be analyzed to determine the distribution of moisture and salinity in the target saline-alkali land; based on the distribution data, the water absorption capacity and salinity accumulation level of the soil in the target saline-alkali land can be determined; current environmental data can be analyzed to determine the current environmental impact information of environmental factors on the target crop variety, including impacts on crop growth and water evaporation; preliminary irrigation conditions can be adjusted according to irrigation targets to determine target irrigation conditions; and the irrigation time for the target saline-alkali land can be predicted based on the target irrigation conditions, water absorption capacity, salinity accumulation level, current environmental impact information, and future environmental data.

[0094] Specifically, the irrigation utilization server can first analyze soil data to determine the distribution of moisture and salinity in the target saline-alkali land. Environmental data can include current and future environmental data. By analyzing soil data, the distribution of moisture and salinity in the target saline-alkali land can be determined. This data is crucial for understanding the soil's water absorption capacity and salinity accumulation level. This distribution data helps to understand the soil's water absorption capacity and salinity accumulation level, thus providing a basis for determining irrigation time. Based on the moisture and salinity distribution data, the irrigation utilization server can further analyze the soil's water absorption capacity. Current environmental data is used to analyze the impact of environmental factors at the current moment on the target sown variety and the degree of salinity accumulation. This may include, but is not limited to, factors affecting crop growth such as light, temperature, and wind speed, as well as factors affecting water evaporation rate. This information plays a key role in subsequent irrigation decisions. This information is crucial for accurately predicting irrigation demand. The irrigation utilization server can also collect and analyze current environmental data to determine environmental factors at the current moment, such as temperature, wind speed, and humidity. Based on the irrigation target and preliminary irrigation conditions, these conditions can be adjusted to determine more precise target irrigation conditions. Specifically, this can include parameters such as irrigation time, irrigation volume, and irrigation frequency. Based on irrigation goals and preliminary irrigation conditions, more precise target irrigation conditions can be determined. This prediction considers multiple factors and can more accurately guide irrigation operations, ensuring healthy crop growth. Then, by combining target irrigation conditions, soil water absorption capacity, salinity accumulation, current environmental impact information, and future environmental data, the irrigation time for the target saline-alkali land can be predicted.

[0095] This embodiment considers not only current environmental data but also future environmental data. This makes the determination of irrigation time more accurate and forward-looking, better addressing the impact of environmental changes on crop growth. By analyzing soil data, this embodiment can determine the moisture and salinity distribution of the target saline-alkali land. This helps to understand the soil's water absorption capacity and salt accumulation level, providing more precise guidance for irrigation. Current environmental data is used to assess the real-time impact of environmental factors on the target crop variety, including crop growth and water evaporation. This allows irrigation decisions to better adapt to real-time environmental changes. Based on irrigation targets and preliminary irrigation conditions, this embodiment can adjust them to determine more precise target irrigation conditions. This ensures the effectiveness and targeting of irrigation. Combining target irrigation conditions, soil characteristics, environmental impacts, and future environmental data, this embodiment can predict the irrigation time for the target saline-alkali land, providing a scientific basis for agricultural production. Therefore, this embodiment can improve the efficiency and accuracy of irrigation, thereby promoting healthy crop growth and increasing yield and quality. Accurate irrigation time prediction helps reduce water waste and post-irrigation salt accumulation, lower production costs, and promote the sustainable development of agricultural production.

[0096] In some embodiments, data processing can be performed on target irrigation conditions, water absorption performance, salinity accumulation, current environmental impact information, and future environmental data to obtain predictive basic data. The data processing process includes data cleaning; the predictive basic data is input into a preset irrigation time prediction model, and the irrigation time of the target saline-alkali land is output.

[0097] Specifically, firstly, the collected data on target irrigation conditions, water absorption capacity, salinity accumulation, current environmental impact, and future environmental data can be processed. This data processing includes data cleaning to eliminate outliers, missing values, and duplicate data, ensuring accuracy and reliability. The cleaned data can then be further processed to generate predictive baseline data. This data will serve as input for subsequent irrigation time prediction. Next, the predictive baseline data can be input into a pre-defined irrigation time prediction model. This model, after training and optimization, can predict the irrigation time for the target saline-alkali land based on the input data. The model can employ advanced machine learning algorithms to perform in-depth analysis and processing of the input data, ultimately outputting one or more possible irrigation times. These times are calculated based on a combination of factors, ensuring high accuracy and reliability.

[0098] This embodiment ensures the accuracy and reliability of input data through a data cleaning process, avoiding the impact of outliers, missing values, and duplicate data on the prediction results. This helps improve the accuracy of irrigation time prediction. Using a pre-set irrigation time prediction model, the irrigation time for the target saline-alkali land can be calculated comprehensively based on multiple factors. This model, after training and optimization, has high prediction accuracy and can provide a scientific basis for agricultural production. Accurate irrigation time prediction can reduce water waste and improve irrigation efficiency. This helps reduce production costs and achieve sustainable agricultural development. It can also be adjusted and optimized according to actual conditions to adapt to the irrigation needs of different regions and crops. This provides more flexible and adaptable decision support for agricultural production. Accurate irrigation time prediction ensures that crops receive adequate water supply, promoting their healthy growth. This helps improve crop yield and quality, increasing the efficiency of agricultural production.

[0099] In other embodiments, the areas where saline-alkali land is located generally have high concentrations of saline water resources. Irrigation with high concentrations of saline water resources may lead to soil compaction and hardening due to the accumulation of salt in the soil, which will affect the extension of crop roots and water penetration, resulting in reduced yield or crop failure of winter wheat in saline-alkali land due to salt damage.

[0100] This application discloses a method for irrigating high-concentration saline water resources in saline-alkali land, including selecting salt-tolerant varieties for sowing, selecting the key irrigation period, selecting the irrigation water source, determining the range of saline water concentration, determining the irrigation method and irrigation volume, and a drainage and salt removal device.

[0101] Sowing salt-tolerant varieties: Select salt-tolerant varieties after tilling the land and sow according to soil moisture conditions.

[0102] Farmland management: fertilization and weeding.

[0103] Key irrigation period selection: Saline irrigation will cause soil salt accumulation, so saline irrigation should only be carried out once during the entire winter wheat growing season. The critical period for winter wheat is from the jointing stage to the heading stage (May-June).

[0104] The key focus is on high-concentration saline irrigation during critical periods. Irrigation needs can be assessed based on monitoring data, and then the amount of saline water to be used can be determined. This involves monitoring, analyzing irrigation needs, and determining the timing. Besides monitoring soil moisture and salinity, other monitoring or assessment conditions are added, such as historical rainfall, specific timing, and projected rainfall. This comprehensive assessment considers multiple factors to determine the relationship between the current soil condition and the crop's water requirements, focusing on the overall conditions for monitoring or assessing needs. Collected soil moisture, pH values, and other parameters are compared and analyzed with preset critical period conditions. The intelligent irrigation system can then provide guidance on irrigation time and volume. For example, when soil moisture is below a preset value, it can automatically suggest irrigation time and volume; when soil pH is above a preset value, it can suggest reducing irrigation time and volume.

[0105] Irrigation water source selection: utilize shallow groundwater nearby.

[0106] The concentration range of saline irrigation water is determined as follows: the concentration of saline irrigation water is 5-6 g / L, and the concentration of groundwater does not require desalination treatment.

[0107] Irrigation method and amount: flood irrigation, 40 m3 / mu.

[0108] Drainage and salt removal device: A concealed pipe drainage and salt removal system can be used.

[0109] This application solves the problem of reduced yield or even total crop failure of winter wheat in saline-alkali land due to salt damage, thus ensuring winter wheat production. Simultaneously, the use of locally sourced materials and flood irrigation achieves low cost and convenient operation. Finally, it conserves a significant amount of freshwater resources to ensure and increase winter wheat production, and also improves the utilization rate of highly concentrated saline water resources.

[0110] Figure 3 This is a schematic diagram of a device for irrigating and utilizing high-concentration saline water resources in saline-alkali land, provided in one embodiment of this application. Figure 3As shown, the saline-alkali land high-concentration saline water resource irrigation and utilization device 300 of this embodiment includes: irrigation target determination module 301, preliminary irrigation condition determination module 302, data detection module 303 and irrigation time determination module 304.

[0111] The irrigation target determination module 301 is used to determine the planting requirements and irrigation targets of the target sowing variety based on the variety attributes of the target sowing variety.

[0112] The preliminary irrigation conditions determination module 302 is used to analyze planting needs and determine preliminary irrigation conditions;

[0113] The data detection module 303 is used to detect soil and environmental data of the target saline-alkali land, and the target seeding variety is sown on the target saline-alkali land;

[0114] The irrigation time determination module 304 is used to determine the irrigation time for the target saline-alkali land by analyzing soil data, environmental data and preliminary irrigation conditions based on the irrigation target.

[0115] Optionally, variety attributes include growth characteristics and salt tolerance; the irrigation target determination module 301 is specifically used for:

[0116] Based on the growth attributes, salt tolerance, and soil conditions of the target saline-alkali land, determine the corresponding sowing depth, sowing density, fertilization requirements, and target irrigation period, with irrigation occurring within the target irrigation period.

[0117] Determine the planting requirements of the target varieties based on sowing depth, sowing density, fertilization needs, and target irrigation period;

[0118] Analyze growth attributes to determine the soil moisture requirements and water requirements of the target sowing variety;

[0119] Based on soil moisture requirements and water demand characteristics, determine the irrigation method for the target saline-alkali land;

[0120] Based on planting needs and irrigation methods, irrigation targets for the target planting varieties are generated.

[0121] Optionally, the preliminary irrigation conditions determination module 302 is specifically used for:

[0122] Analyze planting needs and determine several planting attribute points of the target sowing variety. These planting attribute points are associated with the variety attributes of the target sowing variety.

[0123] Based on preset irrigation options, the corresponding irrigation conditions are matched for each planting attribute point.

[0124] Preliminary irrigation conditions are generated based on the irrigation conditions corresponding to each of the several planting attribute points.

[0125] Optionally, the environmental data includes current environmental data and future environmental data; the irrigation time determination module 304 is specifically used for:

[0126] Analyze soil data to determine the distribution of moisture and salinity in the target saline-alkali land;

[0127] Based on the distribution data, determine the water absorption capacity and salt accumulation level of the soil in the target saline-alkali land;

[0128] Analyze current environmental data to determine the current environmental impact of environmental factors on the target crop variety. The current environmental impact information includes the impact on crop growth and the impact on water evaporation.

[0129] Adjust the preliminary irrigation conditions according to the irrigation goals, and determine the target irrigation conditions;

[0130] Based on the target irrigation conditions, water absorption capacity, salinity accumulation, current environmental impact information, and future environmental data, predict the irrigation time for the target saline-alkali land.

[0131] Optionally, the irrigation time determination module 304, when predicting the irrigation time for the target saline-alkali land based on the target irrigation conditions, water absorption performance, salinity accumulation level, current environmental impact information, and future environmental data, is specifically used for:

[0132] Data processing is performed on target irrigation conditions, water absorption performance, salt accumulation level, current environmental impact information and future environmental data to obtain basic prediction data. The data processing process includes data cleaning.

[0133] Input the basic prediction data into the preset irrigation time prediction model, and output the irrigation time for the target saline-alkali land.

[0134] The apparatus of this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

[0135] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application, as shown below. Figure 4 As shown, the electronic device 400 of this embodiment may include a memory 401 and a processor 402.

[0136] The memory 401 stores a computer program that can be loaded by the processor 402 and execute the methods described in the above embodiments.

[0137] The processor 402 and the memory 401 are connected, for example, via a bus.

[0138] Optionally, the electronic device 400 may also include a transceiver. It should be noted that in practical applications, the transceiver is not limited to one, and the structure of the electronic device 400 does not constitute a limitation on the embodiments of this application.

[0139] Processor 402 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 402 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0140] A bus can include a pathway for transmitting information between the aforementioned components. The bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is used in the diagram, but this does not imply that there is only one bus or one type of bus.

[0141] The memory 401 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0142] The memory 401 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 402. The processor 402 is used to execute the application code stored in the memory 401 to implement the content shown in the foregoing method embodiments.

[0143] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 4 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0144] The electronic device in this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

[0145] This application also provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute the methods described in the above embodiments.

[0146] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

Claims

1. A method for irrigating high-concentration saline water resources in saline-alkali land, characterized in that, include: Based on the variety attributes of the target sowing variety, determine the planting requirements and irrigation targets for the target sowing variety; Analyze the planting needs and determine the preliminary irrigation conditions; Soil and environmental data of the target saline-alkali land are detected, and the target seed variety is sown on the target saline-alkali land; Based on the irrigation target, the soil data, environmental data, and preliminary irrigation conditions are analyzed to determine the irrigation time for the target saline-alkali land; The varietal attributes include growth characteristics and salt tolerance; determining the planting requirements and irrigation targets for the target varietal based on its varietal attributes includes: Based on the growth characteristics, salt tolerance, and soil conditions of the target saline-alkali land, determine the corresponding sowing depth, sowing density, fertilization requirements, and target irrigation period, wherein the irrigation time is within the target irrigation period. Based on the sowing depth, sowing density, fertilization requirements, and target irrigation period, the planting requirements for the target sowing variety are determined. The planting requirements include the requirements for soil moisture, soil nutrients, and irrigation. Analyze the growth characteristics to determine the soil moisture requirements and water requirements of the target sowing variety; Based on the soil moisture requirements and water demand characteristics, the irrigation method for the target saline-alkali land is determined; Based on the planting requirements and the irrigation method, an irrigation target for the target sown variety is generated, which includes irrigation amount and irrigation frequency. The analysis of planting needs and determination of preliminary irrigation conditions includes: Analyze the planting requirements and determine several planting attribute points of the target sowing variety. The planting attribute points are related to the variety attributes of the target sowing variety. The planting attribute points include the root system requirements of the target sowing variety and its specific requirements for soil moisture and nutrients. Based on preset irrigation options, the corresponding irrigation conditions are matched for each planting attribute point. Based on the irrigation conditions corresponding to the aforementioned planting attribute points, preliminary irrigation conditions are generated. The environmental data includes current environmental data and future environmental data; the step of analyzing the soil data, the environmental data, and the preliminary irrigation conditions based on the irrigation target to determine the irrigation time for the target saline-alkali land includes: Analyze the soil data to determine the distribution data of moisture and salinity in the target saline-alkali land; Based on the distribution data, the water absorption capacity and salt accumulation level of the soil in the target saline-alkali land are determined; Analyze the current environmental data to determine the current environmental impact information of environmental factors on the target sown variety at the current moment. The current environmental impact information includes the impact on crop growth and the impact on water evaporation. The preliminary irrigation conditions are adjusted according to the irrigation target to determine the target irrigation conditions; Based on the target irrigation conditions, water absorption performance, salt accumulation level, current environmental impact information, and future environmental data, the irrigation time for the target saline-alkali land is predicted.

2. The method for irrigating high-concentration saline water resources in saline-alkali land according to claim 1, characterized in that, The step of predicting the irrigation time for the target saline-alkali land based on the target irrigation conditions, water absorption performance, salinity accumulation level, current environmental impact information, and future environmental data includes: The target irrigation conditions, water absorption performance, salt accumulation level, current environmental impact information, and future environmental data are processed to obtain basic prediction data. The data processing process includes data cleaning. The predicted basic data is input into a preset irrigation time prediction model, which outputs the irrigation time for the target saline-alkali land.

3. A device for irrigating saline-alkali land with high-concentration saline water resources, characterized in that, include: The irrigation target determination module is used to determine the planting requirements and irrigation targets of the target sowing variety based on the variety attributes of the target sowing variety. The preliminary irrigation conditions determination module is used to analyze the planting requirements and determine the preliminary irrigation conditions. The data detection module is used to detect soil and environmental data of the target saline-alkali land, and the target seed variety is sown on the target saline-alkali land; The irrigation time determination module is used to analyze the soil data, the environmental data, and the preliminary irrigation conditions based on the irrigation target to determine the irrigation time for the target saline-alkali land. The variety attributes include growth characteristics and salt tolerance; the irrigation target determination module is specifically used for: Based on the growth characteristics, salt tolerance, and soil conditions of the target saline-alkali land, determine the corresponding sowing depth, sowing density, fertilization requirements, and target irrigation period, wherein the irrigation time is within the target irrigation period. Based on the sowing depth, sowing density, fertilization requirements, and target irrigation period, the planting requirements for the target sowing variety are determined. The planting requirements include the requirements for soil moisture, soil nutrients, and irrigation. Analyze the growth characteristics to determine the soil moisture requirements and water requirements of the target sowing variety; Based on the soil moisture requirements and water demand characteristics, the irrigation method for the target saline-alkali land is determined; Based on the planting requirements and the irrigation method, an irrigation target for the target sown variety is generated, which includes irrigation amount and irrigation frequency. Specifically, the preliminary irrigation conditions determination module is used for: Analyze the planting requirements and determine several planting attribute points of the target sowing variety. The planting attribute points are related to the variety attributes of the target sowing variety. The planting attribute points include the root system requirements of the target sowing variety and its specific requirements for soil moisture and nutrients. Based on preset irrigation options, the corresponding irrigation conditions are matched for each planting attribute point. Based on the irrigation conditions corresponding to the aforementioned planting attribute points, preliminary irrigation conditions are generated. The irrigation time determination module is specifically used for: Analyze the soil data to determine the distribution data of moisture and salinity in the target saline-alkali land; Based on the distribution data, the water absorption capacity and salt accumulation level of the soil in the target saline-alkali land are determined; Analyze current environmental data to determine the current environmental impact information of environmental factors on the target sown variety at the current moment, including the impact on crop growth and the impact on water evaporation; The preliminary irrigation conditions are adjusted according to the irrigation target to determine the target irrigation conditions; Based on the target irrigation conditions, water absorption performance, salt accumulation level, current environmental impact information, and future environmental data, the irrigation time for the target saline-alkali land is predicted.

4. An electronic device, characterized in that, include: Memory and processor; The memory is used to store program instructions; The processor is used to call and execute program instructions in the memory to perform the method for irrigation and utilization of high-concentration saline water resources in saline-alkali land as described in any one of claims 1-2.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program; when the computer program is executed by a processor, it implements the method for irrigating and utilizing high-concentration saline water resources in saline-alkali land as described in any one of claims 1-2.

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