Partition alternate irrigation method and system based on feedback data analysis

Abstract

The invention discloses a partition alternate irrigation method and system based on feedback data analysis, and relates to the technical field of irrigation. Comprising a region division module, a data acquisition module, a data analysis module, a decision generation module and an irrigation execution and data updating module. Irrigation subareas are scientifically divided, accurate subarea management is achieved according to soil, crops and topographic factors, meanwhile, multi-dimensional feedback data such as soil moisture content, crop growth indexes and environmental meteorology are collected, and a comprehensive and objective basis is provided for irrigation decision making. By comprehensively analyzing the soil moisture content range, the difference between the crop growth index and the standard value and the environmental meteorological data and combining a priority formula and weight adjustment, irrigation requirements are accurately quantified and sorted, water shortage or crop growth affected areas are preferentially met, and the water resource utilization efficiency is improved; irrigation resources are optimally configured according to the water supply capacity, data are updated in time after irrigation to enter a next optimization period, closed-loop continuous optimization is formed, and finally water saving and yield increasing are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of irrigation technology, in particular to a partitioned alternate irrigation method and system based on feedback data analysis. BACKGROUND

[0002] In the field of agricultural irrigation, the traditional irrigation method is to irrigate uniformly in the whole field. This method does not fully consider the differences in soil type, crop type, and terrain slope in different areas of the farmland, resulting in low efficiency of water resource utilization. On the one hand, some areas may cause problems such as root rot and soil salinization due to excessive water; on the other hand, some areas may affect crop growth due to insufficient water, resulting in reduced crop yield.

[0003] With the development of agricultural modernization, although some irrigation optimization techniques have emerged, such as timed irrigation and irrigation based on single soil moisture content, these techniques still have obvious shortcomings. Timed irrigation only irrigates according to the preset time and cannot adjust in real time according to the actual crop growth needs and environmental changes, often resulting in improper irrigation timing. Irrigation based on single soil moisture content only considers the soil moisture condition and ignores the comprehensive influence of crop growth indicators and environmental meteorological factors on irrigation needs. For example, during the critical period of crop growth, even if the soil moisture content is within the appropriate range, if the crop growth indicators do not meet the standard, appropriate irrigation is needed to promote growth; when there is more rainfall or evaporation, the irrigation strategy needs to be adjusted accordingly.

[0004] In addition, the existing irrigation system lacks scientific priority determination and irrigation amount calculation methods in the decision-making of partitioned irrigation, making it difficult to achieve efficient alternate irrigation of irrigation partitions, resulting in unreasonable allocation of irrigation resources, wasting valuable water resources, increasing agricultural production costs, and being not conducive to the sustainable development of agriculture. Therefore, there is an urgent need for a method and system that can comprehensively consider soil, crops, environment, and other factors to achieve partitioned alternate irrigation through feedback data analysis, in order to improve the efficiency of water resource utilization, ensure crop growth, and promote the sustainable development of agriculture. SUMMARY

[0005] (I)Technical problems solved

[0006] To solve the problems mentioned in the background, the present application provides a partitioned alternate irrigation method and system based on feedback data analysis.

[0007] (II)Technical solutions

[0008] To achieve the above purpose, the present application realizes the following technical solutions: a partitioned alternate irrigation method based on feedback data analysis, comprising the following steps:

[0009] Step 1: Irrigation Zone Division

[0010] Based on soil type, crop type, and topographic slope, the farmland to be irrigated is divided into multiple irrigation zones;

[0011] Step 2: Feedback Data Collection

[0012] Data acquisition devices are set up in each irrigation zone to collect feedback data on soil moisture content, crop growth indicators, and environmental meteorological data. Crop height is selected as the crop growth indicator data; the environmental meteorological data are rainfall and evaporation data collected by meteorological stations.

[0013] Step 3: Feedback Data Analysis

[0014] The collected feedback data is analyzed to determine the irrigation needs of each irrigation zone;

[0015] Step 4: Irrigation Decision Generation

[0016] According to the irrigation priority P of each irrigation zone i This generates decisions on alternating irrigation for different irrigation zones;

[0017] Step 5: Irrigation Execution and Feedback Data Update:

[0018] Based on the generated irrigation decisions, control the irrigation system to irrigate the corresponding irrigation zones.

[0019] As a further aspect of the present invention, the irrigation zone is denoted as i, where i represents the irrigation zone index, i = 1, 2, ..., n, and n is the total number of irrigation zones;

[0020] Soil moisture content data, crop growth index data, and environmental meteorological data are denoted as W. i,t G i,t E t , where i represents the i-th irrigation zone and t represents the data collection time point.

[0021] As a further aspect of the present invention, regarding soil moisture content data W i,t :

[0022] A soil moisture sensor was used to collect data at multiple sampling points in each irrigation zone, and the average value was taken as the soil moisture content of that irrigation zone at time t.

[0023] Specifically as follows:

[0024] The sampling points of each irrigation zone are labeled as k, and k = 1, 2, ..., m, where m represents the number of sampling points;

[0025] The soil moisture content at time t of the k-th sampling point in the i-th irrigation zone is labeled as W. i,k,t Then the soil moisture content of the i-th irrigation zone at time t is ; .

[0026] As a further aspect of the present invention, for crop growth index data G i,t :

[0027] The height of all crops in each irrigation zone is measured manually or by growth monitoring equipment, and the average value is taken as the crop growth index of that irrigation zone at time t.

[0028] Specifically as follows:

[0029] The plant height of the q-th crop in the i-th irrigation zone at time t is denoted as G. i,q,t ;

[0030] Where q = 1, 2, ..., p, and p is the number of crops in the i-th irrigation zone;

[0031] Then the crop growth index of the i-th irrigation zone at time t is: .

[0032] As a further aspect of the present invention, the feedback data analysis method is as follows:

[0033] Soil moisture content analysis:

[0034] Extract the pre-defined soil moisture content range suitable for crop growth in each irrigation zone and label it as [W]. i,low W i,high ];

[0035] Among them, W i,low W is the lower limit of soil moisture content for crop growth in the i-th irrigation zone. i,high It is the upper limit of soil moisture content for crop growth in the i-th irrigation zone;

[0036] Then, the soil moisture content W of the i-th irrigation zone at time t is calculated. i,t With soil moisture content range [W i,low W i,high Comparison:

[0037] When W i,t <W i,low When this occurs, it indicates that the i-th irrigation zone needs irrigation;

[0038] When W i,t ≥W i,high When this occurs, it indicates that the i-th irrigation zone does not require irrigation;

[0039] When W i,low ≤Wi,t <W i,high At the same time, further analysis should be conducted by combining crop growth indicators and environmental meteorological data;

[0040] Crop growth index analysis:

[0041] The current crop growth index G i,t The standard growth index G of the crop at the same growth stage i,std Comparison:

[0042] If G i,t <G i,std If the soil moisture content is within a suitable range, it indicates that crop growth may be affected by insufficient water. Even if the soil moisture content is within a suitable range, appropriate irrigation may be required to promote growth.

[0043] If G i,t ≥G i,std In this case, the irrigation needs of irrigation zones with lower soil moisture content can be prioritized.

[0044] Environmental meteorological data analysis:

[0045] If R t Rainfall exceeding the preset threshold R y If this indicates that there has been a lot of rainfall recently, the amount of irrigation can be reduced appropriately.

[0046] If V t Rainfall exceeding a preset threshold V y This indicates strong evaporation and rapid soil moisture consumption, requiring consideration of increasing irrigation.

[0047] As a further aspect of the present invention, the feedback data analysis is also based on a comprehensive analysis of soil moisture content data, crop growth index data, and environmental meteorological data, as follows:

[0048] The formula is:

[0049]

[0050] Determine the irrigation priority Pi for each irrigation zone;

[0051] In the formula, γ1, γ2, and γ3 are corresponding preset weight coefficients, satisfying γ1 + γ2 + γ3 = 1; V avg It is the average evaporation rate for the same period in the region.

[0052] As a further aspect of the present invention, the irrigation decision generation method is as follows:

[0053] First, categorize all irrigation zones according to priority P. i Sort the irrigation partitions from largest to smallest to obtain the sorted sequence [i1, i2, ..., i...].n ];

[0054] Among them, i1 is the irrigation partition with the highest priority, i n It is the lowest priority irrigation zone;

[0055] Then through: Determine the irrigation amount Q for each irrigation zone. i ;

[0056] Where α is a pre-defined coefficient related to soil type; S i It is the irrigated area of ​​the i-th irrigation zone, and its value is obtained by prior measurement;

[0057] Finally, based on the water supply capacity of the irrigation system and the number of irrigation zones, the number of irrigation zones and the specific irrigation zones for each irrigation are determined.

[0058] As a further aspect of the present invention: if the irrigation system can only supply water to two irrigation zones at a time, then the two irrigation zones i1 and i2 with the highest priority are selected for irrigation, and the remaining irrigation zones will make decisions based on updated feedback data in the next irrigation cycle.

[0059] As a further aspect of the present invention, after irrigation is completed, feedback data from each irrigation zone is collected again, and the next irrigation cycle is entered. The above steps are repeated to achieve continuous optimization of alternating irrigation of irrigation zones based on feedback data analysis.

[0060] A zoned alternating irrigation system based on feedback data analysis, the system being used to execute a zoned alternating irrigation method based on feedback data analysis, the system comprising:

[0061] The area division module is responsible for dividing farmland to be irrigated into multiple irrigation zones, which can be based on factors such as soil type, crop type, and terrain slope.

[0062] Data acquisition module: Data acquisition devices are set up in each irrigation zone to collect feedback data such as soil moisture content data, crop growth index data, and environmental meteorological data;

[0063] Data analysis module: Analyzes the collected feedback data, and calculates the irrigation priority of each zone through multi-dimensional analysis such as soil moisture content range, crop growth index comparison, and environmental meteorological data, so as to determine irrigation demand;

[0064] Decision generation module: Sorts the zones according to their irrigation priority, calculates the irrigation amount for each zone, and determines the number and specific zones to be irrigated each time based on the irrigation system's water supply capacity, thus generating irrigation decisions;

[0065] Irrigation Execution and Data Update Module: This module is divided into an irrigation execution module and a data update module. The irrigation execution module is used to execute irrigation operations according to the irrigation decision control system. The data update module is used to update the feedback data of each zone after irrigation is completed and enter the next irrigation cycle.

[0066] (III) Beneficial Effects

[0067] This invention provides a method and system for alternating irrigation in different zones based on feedback data analysis. Compared with existing technologies, it has the following advantages:

[0068] By scientifically dividing irrigation zones and subdividing farmland according to factors such as soil type, crop variety, and terrain slope, precise irrigation is achieved. For example, setting up different crop zones allows various crops such as wheat and corn to receive appropriate irrigation management. At the same time, the collection of multi-dimensional feedback data, covering soil moisture content, crop growth indicators, and environmental meteorology, provides a comprehensive and accurate basis for irrigation decisions. This makes irrigation no longer dependent on experience but based on real-time and comprehensive objective data, greatly improving the scientific nature and precision of irrigation.

[0069] In the feedback data analysis phase, by comprehensively analyzing soil moisture content, crop growth indicators, and environmental meteorological data, and combining priority formulas and weight adjustments, precise quantification and prioritization of irrigation needs were achieved. This approach prioritizes irrigation for water-sensitive crops or areas with severe soil water shortages, avoiding the indiscriminate nature of traditional irrigation. It ensures the water needed for crop growth while dynamically adjusting based on environmental factors such as evaporation and rainfall, effectively improving water resource utilization efficiency and reducing water waste.

[0070] The zoned alternating irrigation decision-making and continuous feedback mechanism allows irrigation execution to dynamically select irrigation zones based on the system's water supply capacity, achieving optimal allocation of irrigation resources. Furthermore, timely updates to feedback data after irrigation commence, initiating the next optimization cycle, form a closed-loop continuous optimization process. This not only improves the operational efficiency of the irrigation system but also allows for continuous adaptation to crop growth and environmental changes in long-term irrigation management, ultimately achieving water conservation, increased yields, and enhanced intelligent farmland management, providing strong support for efficient and sustainable agricultural development. Attached Figure Description

[0071] Figure 1 This is a system block diagram of a zoned alternating irrigation system based on feedback data analysis according to the present invention.

[0072] Figure 2 This is a schematic diagram of the process of a zoned alternating irrigation method based on feedback data analysis according to the present invention. Detailed Implementation

[0073] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0074] Please see Figure 1 and Figure 2 As shown, the embodiments of the present invention provide the following technical solutions:

[0075] As an embodiment of the present invention:

[0076] This invention relates to a zoned alternating irrigation method based on feedback data analysis, comprising the following steps:

[0077] Step 1: Irrigation Zone Division

[0078] The farmland to be irrigated is divided into multiple irrigation zones, denoted as i, where i represents the irrigation zone index, i = 1, 2, ..., n, and n is the total number of irrigation zones;

[0079] In this embodiment, the division of irrigation zones is based on factors such as soil type, crop type, and terrain slope. For example, a farmland that grows both wheat and corn can be divided into two irrigation zones according to the crop type, i.e., n=2, i=1 represents the wheat planting zone, and i=2 represents the corn planting zone.

[0080] Step 2: Feedback Data Collection

[0081] Data acquisition devices are installed in each irrigation zone to collect irrigation-related feedback data;

[0082] Feedback data includes:

[0083] Soil moisture content data W i,t , where i represents the i-th irrigation zone and t represents the data collection time point;

[0084] For soil moisture content data W i,t :

[0085] A soil moisture sensor was used to collect data at multiple sampling points in each irrigation zone, and the average value was taken as the soil moisture content of that irrigation zone at time t.

[0086] Specifically as follows:

[0087] The sampling points of each irrigation zone are labeled as k, and k = 1, 2, ..., m, where m represents the number of sampling points;

[0088] The soil moisture content at time t of the k-th sampling point in the i-th irrigation zone is labeled as W. i,k,t Then the soil moisture content of the i-th irrigation zone at time t is ; ;

[0089] Step 3: Feedback Data Analysis

[0090] The collected feedback data is analyzed to determine the irrigation needs of each irrigation zone;

[0091] Specifically as follows:

[0092] Soil moisture content analysis:

[0093] Extract the pre-defined soil moisture content range suitable for crop growth in each irrigation zone and label it as [W]. i,low W i,high ];

[0094] Among them, W i,low W is the lower limit of soil moisture content for crop growth in the i-th irrigation zone. i,high It is the upper limit of soil moisture content for crop growth in the i-th irrigation zone;

[0095] Then, the soil moisture content W of the i-th irrigation zone at time t is calculated. i,t With soil moisture content range [W i,low W i,high Comparison:

[0096] When W i,t <W i,low When this occurs, it indicates that the i-th irrigation zone needs irrigation;

[0097] When W i,t ≥W i,high When the i-th irrigation zone does not require irrigation, it means that the i-th irrigation zone does not require irrigation.

[0098] Example 1 divides irrigation zones according to soil type, crop type, etc., collects soil moisture content and analyzes its relationship with the suitable moisture content range of crops to determine irrigation needs. This can achieve precise irrigation by zone, avoid blind irrigation, save water resources, meet the water needs of crops in different zones, and improve crop growth quality.

[0099] As a second embodiment of the present invention:

[0100] In its specific implementation, compared to Embodiment 1, the technical solution of this embodiment differs from Embodiment 1 only in that, in this embodiment, the feedback data further includes: crop growth index data G. i,t Environmental meteorological data E t ;

[0101] In this embodiment, crop growth index data Gi,t Such as crop plant height, number of leaves, etc.; environmental meteorological data E t Such as rainfall, evaporation, etc.;

[0102] For crop growth index data G i,t :

[0103] In this embodiment, crop plant height is selected as a crop growth indicator;

[0104] The height of all crops in each irrigation zone is measured manually or by growth monitoring equipment, and the average value is taken as the crop growth index of that irrigation zone at time t.

[0105] Specifically as follows:

[0106] The plant height of the q-th crop in the i-th irrigation zone at time t is denoted as G. i,q,t ;

[0107] Where q = 1, 2, ..., p, and p is the number of crops in the i-th irrigation zone;

[0108] Then the crop growth index of the i-th irrigation zone at time t is: ;

[0109] For environmental meteorological data E t :

[0110] In this embodiment, rainfall R is collected through a weather station. t Evaporation rate V t ;

[0111] In this embodiment, the rainfall and evaporation data are uniform data for the entire irrigation area, without distinguishing between irrigation zones;

[0112] When W i,low ≤W i,t <W i,high At the same time, further analysis should be conducted by combining crop growth indicators and environmental meteorological data;

[0113] Crop growth index analysis:

[0114] The current crop growth index G i,t The standard growth index G of the crop at the same growth stage i,std Comparison:

[0115] If G i,t <G i,std If the soil moisture content is within a suitable range, it indicates that crop growth may be affected by insufficient water. Even if the soil moisture content is within a suitable range, appropriate irrigation may be required to promote growth.

[0116] If G i,t≥G i,std In this case, the irrigation needs of irrigation zones with lower soil moisture content can be prioritized.

[0117] Environmental meteorological data analysis:

[0118] If R t Rainfall exceeding the preset threshold R y If this indicates that there has been a lot of rainfall recently, the amount of irrigation can be reduced appropriately.

[0119] If V t Rainfall exceeding a preset threshold V y This indicates strong evaporation and rapid soil moisture consumption, requiring consideration of increasing irrigation.

[0120] Example 2, based on Example 1, adds the analysis of crop growth indicators and environmental meteorological data, which can more comprehensively determine irrigation needs. Even if the soil moisture content is within a suitable range, irrigation can be adjusted according to crop growth and meteorological conditions, further improving the scientific and rational nature of irrigation, promoting crop growth, and coping with water management under different meteorological conditions.

[0121] As an embodiment of the present invention:

[0122] In its specific implementation, compared to Embodiment 1 and Embodiment 2, the technical solution of this embodiment is to combine the solutions of Embodiment 1 and Embodiment 2. The difference between the technical solution of this embodiment and Embodiment 1 and Embodiment 2 lies only in the comprehensive analysis performed in this embodiment:

[0123] The formula is:

[0124]

[0125] Determine the irrigation priority Pi for each irrigation zone;

[0126] The higher the priority value, the more irrigation is needed;

[0127] In the formula, γ1, γ2, and γ3 are corresponding preset weight coefficients, satisfying γ1 + γ2 + γ3 = 1; V avg This is the average evaporation rate for the same period in the region;

[0128] It can be adjusted according to actual planting needs. For example, for water-sensitive crops, the value of 'a' can be increased.

[0129] Subsequently, based on the irrigation priority P of each irrigation zone i This generates decisions on alternating irrigation for different irrigation zones;

[0130] First, categorize all irrigation zones according to priority P. iSort the irrigation partitions from largest to smallest to obtain the sorted sequence [i1, i2, ..., i...]. n ];

[0131] Among them, i1 is the irrigation partition with the highest priority, i n It is the lowest priority irrigation zone;

[0132] Then through: Determine the irrigation amount Q for each irrigation zone. i ;

[0133] Where α is a pre-defined coefficient related to soil type. For example, sandy soil has a larger k value because it has poor water retention capacity and requires more water to achieve the same increase in moisture content; S i It is the irrigated area of ​​the i-th irrigation zone, and its value is obtained by prior measurement;

[0134] Finally, based on the water supply capacity of the irrigation system and the number of irrigation zones, determine the number of irrigation zones and the specific irrigation zones for each irrigation.

[0135] Assumption:

[0136] If the irrigation system can only supply water to two irrigation zones at a time, then the two irrigation zones with the highest priority, i1 and i2, will be selected for irrigation, and the remaining irrigation zones will make decisions based on updated feedback data in the next irrigation cycle.

[0137] Finally, based on the generated irrigation decisions, the irrigation system is controlled to irrigate the corresponding irrigation zones.

[0138] Example 3 combines multiple factors for comprehensive analysis, determines irrigation priority and calculates irrigation volume through formulas, and determines the zoning for each irrigation based on the water supply capacity of the irrigation system. This achieves optimized allocation of irrigation resources, allowing limited irrigation resources to prioritize the most needed zoning, improving overall irrigation efficiency and maximizing water resource utilization benefits.

[0139] As an embodiment of the present invention:

[0140] In specific implementation, compared with Embodiment 1, Embodiment 2 and Embodiment 3, the difference between this embodiment and Embodiment 1, Embodiment 2 and Embodiment 3 is only that this embodiment also includes a feedback data update step: after irrigation is completed, the feedback data of each irrigation zone is collected again, that is, the data such as Wi,t and Gi,t are updated, and the next irrigation cycle is entered. The above steps are repeated to realize the continuous optimization of alternating irrigation of irrigation zones based on feedback data analysis.

[0141] Example 4 adds a feedback data update step, collecting data again after irrigation to enter the next cycle, which can realize continuous optimization of irrigation. The irrigation strategy is dynamically adjusted according to crop growth and environmental changes, so that the irrigation decision remains accurate and ensures the long-term efficient use of crop growth and water resources.

[0142] As a fifth embodiment of the present invention:

[0143] In specific implementation, compared with Embodiment 1, Embodiment 2, Embodiment 3 and Embodiment 4, the technical solution of this embodiment is to combine the solutions of Embodiment 1, Embodiment 2, Embodiment 3 and Embodiment 4.

[0144] Example 5 combines the solutions of all the above examples, integrating the advantages of precise zoning, multi-dimensional data analysis, optimized resource allocation, and dynamic continuous optimization. It comprehensively realizes efficient, precise, and scientific management of alternating zoning irrigation based on feedback data analysis, maximizing water conservation, improving crop yield and quality, and adapting to irrigation needs under different crop, soil, and weather conditions. It has strong practicality and promotional value.

[0145] A zoned alternating irrigation system based on feedback data analysis, the system being used to execute a zoned alternating irrigation method based on feedback data analysis, the system comprising:

[0146] The area division module is responsible for dividing farmland to be irrigated into multiple irrigation zones, which can be based on factors such as soil type, crop type, and terrain slope.

[0147] Data acquisition module: Data acquisition devices are set up in each irrigation zone to collect feedback data such as soil moisture content data, crop growth index data, and environmental meteorological data;

[0148] Data analysis module: Analyzes the collected feedback data, and calculates the irrigation priority of each zone through multi-dimensional analysis such as soil moisture content range, crop growth index comparison, and environmental meteorological data, so as to determine irrigation demand;

[0149] Decision generation module: Sorts the zones according to their irrigation priority, calculates the irrigation amount for each zone, and determines the number and specific zones to be irrigated each time based on the irrigation system's water supply capacity, thus generating irrigation decisions;

[0150] Irrigation Execution and Data Update Module: The irrigation system executes irrigation operations according to the irrigation decision control system. After irrigation is completed, the feedback data of each zone is updated, and the next irrigation cycle begins, achieving continuous optimization.

[0151] It should be stated that all user data collected in this application was collected with the user's consent and authorization, and the use of user data is legal and compliant, and the use and processing of user data comply with the relevant laws, regulations and standards of the relevant regions.

[0152] Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0153] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0154] The above formulas are all dimensionless calculations. Dimensionless calculation involves introducing a reference benchmark, such as the maximum, minimum, standard deviation, or theoretical extreme value of a physical quantity, to transform the original physical quantity into a dimensionless relative value. This value is usually mapped to a specific interval, such as [0,1] or [-1,1], which eliminates the influence of units while preserving the relative size relationship of the physical quantities. The formula is derived from software simulation based on a large amount of collected data to obtain the most recent real-world results. The preset parameters and thresholds in the formulas are set by those skilled in the art according to the actual situation.

[0155] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

[0156] The various embodiments of this application have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method of zoned alternate irrigation based on feedback data analysis, characterized in that, The method comprises the following steps: The first step is to divide the irrigation area: the farmland to be irrigated is divided into multiple irrigation subareas according to the corresponding factors of soil type, crop type and terrain slope; The second step is to collect feedback data: data collection devices are arranged in each irrigation subarea to collect feedback data corresponding to soil moisture content data, crop growth index data and environmental meteorological data; wherein the crop height is selected as the crop growth index data; the environmental meteorological data are rainfall and evaporation collected by a weather station; The third step is to analyze the feedback data: the collected feedback data are analyzed in terms of soil moisture content, crop growth index, environmental meteorological data and comprehensive analysis to determine the irrigation demand of each irrigation subarea; The fourth step is to generate an irrigation decision: according to the irrigation priority of each irrigation subarea, the decision of alternating irrigation of the irrigation subarea is generated; The fifth step is to execute irrigation: according to the generated irrigation decision, the irrigation system controls the irrigation of the corresponding irrigation subarea.

2. A method of zoned alternate irrigation based on feedback data analysis as claimed in claim 1, wherein, Let irrigation partition be denoted as i, i represents irrigation partition index, i = 1, 2, … n, wherein n is the total number of irrigation partitions; let soil moisture data be denoted as W i,t wherein t represents a collection time point; For soil moisture data W i,t : Using soil moisture sensors, multiple sampling points are set in each irrigation subarea for collection, and then the average value is taken as the soil moisture W of the irrigation subarea at time t i,t .

3. A zoned alternate irrigation method based on feedback data analysis as claimed in claim 2 wherein, Let the crop growth indicator data be denoted as G i,t , for the crop growth indicator data G i,t : The height of all crops within each irrigation zone is measured by manual measurement or growth monitoring equipment and then averaged to give the crop growth indicator G for that irrigation zone at time t i,t .

4. A zoned alternate irrigation method based on feedback data analysis as claimed in claim 3 wherein, The soil moisture content analysis method is as follows: extracting a range of soil water content suitable for growth of crops for each irrigation zone preset and marking as [W i,low ,W i,high ]; where W i,low is the lower limit of soil water content for crop growth in the i-th irrigation zone, W i,high is the upper limit of soil water content for crop growth in the i-th irrigation zone; The soil water content W of the i-th irrigation zone at time t is then compared with the range of soil water content [W i,t ,W i,low ,W i,high ] When W i,t <W i,low indicates that the i-th irrigation zone needs irrigation; When W i,t ≥ W i,high , it indicates that the i-th irrigation sub-area does not need irrigation; When W i,low ≤ W i,t < W i,high then crop growth indicator analysis and environmental meteorological data analysis are performed.

5. A zoned alternate irrigation method based on feedback data analysis as claimed in claim 4 wherein, The crop growth index analysis method is as follows: comparing the current crop growth indicator G i,t with a standard crop growth indicator G i,std for the crop at the same growth stage If G i,t < G i,std then the crop is not growing in sufficient water; If G i,t ≥ G i,std then the irrigation demand of the irrigation subzone with the lower soil water content is satisfied first.

6. A zoned alternate irrigation method based on feedback data analysis as claimed in claim 5 wherein, The environmental meteorological data analysis method is as follows: The rainfall and evaporation collected by the weather station are respectively marked as R t , V t ; If R t exceeds a pre-set rainfall threshold R y , then reduce irrigation amount; If V t exceeds a pre-set rainfall threshold V y , then the amount of irrigation is increased.

7. A zoned alternate irrigation method based on feedback data analysis as claimed in claim 6 wherein, The comprehensive analysis method is as follows: The irrigation priority Pi for each irrigation subzone is determined by the formula: , In the formula, γ1, γ2, γ3 are preset weight coefficients corresponding to, satisfying γ1+γ2+γ3=1; V avg is the average value of the evaporation of the same period in the region.

8. A zoned alternate irrigation method based on feedback data analysis as claimed in claim 7 wherein, The irrigation decision generation mode is: all irrigation subareas are sorted according to priority P i The sorted irrigation subarea sequence is obtained by sorting from large to small. The pre-set coefficient α related to the soil type is multiplied by the upper limit of the soil water content W i,high of the irrigation sub-area at the current time, and the result is multiplied by the pre-measured irrigation area S i,t of the irrigation sub-area, and the final product is the irrigation amount Q i of the irrigation sub-area i .

9. A zoned alternate irrigation method based on feedback data analysis according to claim 8, characterized in that, If the irrigation system can only supply water to two irrigation subareas at a time, the two irrigation subareas with the highest priority are selected for irrigation, and the remaining irrigation subareas are decided according to the updated feedback data in the next irrigation cycle.

10. A zoned alternate irrigation system based on feedback data analysis for performing the method of any one of claims 1-9, wherein, The system comprises: A subarea alternating irrigation system based on feedback data analysis, which is used to execute a subarea alternating irrigation method based on feedback data analysis, and comprises: A region division module: responsible for dividing the farmland to be irrigated into multiple irrigation subareas, and dividing according to the corresponding factors of soil type, crop type and terrain slope; A data collection module: data collection devices are arranged in each irrigation subarea to collect feedback data corresponding to soil moisture content data, crop growth index data and environmental meteorological data; A data analysis module: the collected feedback data are analyzed by analyzing the soil moisture content range, comparing the crop growth index and the environmental meteorological data, and calculating the irrigation priority of each subarea; A decision generation module: according to the irrigation priority of each subarea, the subareas are sorted, the irrigation amount of each subarea is calculated, and the number and specific subareas of each irrigation are determined according to the water supply capacity of the irrigation system to generate an irrigation decision; An irrigation execution module: execute the irrigation operation according to the irrigation decision.

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