A smart agricultural data control water and fertilizer integration system

Abstract

The present invention relates to the technical field of water-fertilizer integration, and specifically to a smart agricultural data-controlled water-fertilizer integration system, comprising: an external factor parameter analysis module, a water-fertilizer data acquisition module, a crop growth monitoring module, a crop growth analysis module, a water-fertilizer control and execution module and a database; by analyzing the crop growth parameters of an agricultural area, and combining the watering parameters and fertilization parameters of the agricultural area with the external factor parameters, the analysis obtains the type of the area to be processed, provides a targeted direction for water-fertilizer control, can help crops cope with sudden climate change or other environmental pressures, maintain a stable growth environment, and improve the yield and quality of the crops to a certain extent.

Description

Technical Field

[0001] The present invention relates to the technical field of water-fertilizer integration, and in particular to a smart agricultural data-controlled water-fertilizer integration system. Background Art

[0002] With the development of smart Internet of Things, data control systems have made rapid progress. Among them, water-fertilizer integration control based on agricultural data is of great significance. It can not only improve resource utilization efficiency, reduce waste and protect the environment, but also promote agricultural production to develop in a more intelligent, refined and sustainable direction.

[0003] The current integrated water-fertilizer system usually controls the amount of water and fertilizer by setting data, resulting in a low level of intelligence and low resource utilization efficiency. At the same time, it is also unable to intelligently adjust the amount of water and fertilizer through real-time feedback from crops, requiring a lot of manual intervention, which is not conducive to improving the accuracy and reliability of the system.

[0004] The current integrated water-fertilizer system ignores the real-time monitoring of crops and then makes corresponding adjustments to the water and fertilizer data, resulting in incomplete application of the system. It not only fails to effectively control the waste of fertilizer and water, but also fails to help crops cope with sudden climate change or other environmental pressures, and is not conducive to providing a stable growth environment for crops. Summary of the invention

[0005] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a smart agricultural data control water and fertilizer integration system.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A smart agricultural data control water and fertilizer integration system, comprising:

[0007] The external factor parameter analysis module is used to monitor the external environmental parameters corresponding to the agricultural area, obtain the external environmental parameters corresponding to the agricultural area, and obtain the external factor type corresponding to the agricultural area and the impact level of the external factor type based on the external factor parameter analysis corresponding to the agricultural area, so as to form the external factor parameters corresponding to the agricultural area;

[0008] Preferably, the specific monitoring and analysis process of the external parameters corresponding to the agricultural area is as follows:

[0009] Extract the real-time meteorological data corresponding to the agricultural area from the database, obtain the date corresponding to the current monitoring time point, and extract the real-time meteorological data corresponding to the current monitoring time point from the real-time meteorological data corresponding to the agricultural area based on the date corresponding to the current monitoring time point;

[0010] Extracting the real-time air temperature and real-time air humidity of the agricultural area at the current monitoring time point from the real-time meteorological data of the agricultural area at the current monitoring time point;

[0011] Match the real-time air temperature and real-time air humidity of the agricultural area corresponding to the current monitoring time point with the air temperature range and air humidity range corresponding to each set external factor type to obtain the external factor type of the agricultural area corresponding to the current monitoring time point;

[0012] The air temperature range and air humidity range of each impact level corresponding to each external factor type stored in the database;

[0013] Based on the external factor type corresponding to the current monitoring time point of the agricultural area, the real-time air temperature and real-time air humidity of the agricultural area corresponding to the current monitoring time point are matched with the air temperature range and air humidity range of each impact level in the corresponding external factor type, and the impact level corresponding to the external factor type of the agricultural area corresponding to the current monitoring time point is obtained. The external factor type corresponding to the agricultural area and the impact level of the external factor type constitute the external factor parameters corresponding to the agricultural area.

[0014] It should be noted that the types of external factors include: drought, humidity, and normal; the impact levels include: first, second, and third, among which the highest impact level is first.

[0015] The water and fertilizer data acquisition module is used to divide the agricultural area according to the set division method to obtain each sub-area, and obtain the watering parameters of each sub-area within the set period, and at the same time obtain the fertilization parameters of each sub-area within the set period, and obtain the watering parameters and fertilization parameters of each sub-area within the set period;

[0016] It should be noted that the agricultural area is divided according to a set division method, and the specific division method is: obtaining the regional shape and regional area of ​​the agricultural area, and dividing it evenly based on the regional shape and regional area of ​​the agricultural area, thereby obtaining sub-areas corresponding to the agricultural area.

[0017] Preferably, the watering parameters of each sub-area within a set period are obtained in the following manner:

[0018] The data of water and fertilizer application corresponding to each sub-area within the set period are collected to obtain the data of water and fertilizer application corresponding to the set period of each sub-area; the watering data corresponding to the set period of each sub-area are extracted from the water and fertilizer application data corresponding to the set period of each sub-area;

[0019] Extract the number of sprinkling times of each sub-region corresponding to the set period from the sprinkling data of each sub-region corresponding to the set period, and count the interval between each sprinkling and the next sprinkling in the set period in each sub-region based on the number of sprinkling times of each sub-region, as the interval between each sprinkling in the set period in each sub-region, and extract the amount of sprinkling in each sprinkling in the set period from the sprinkling data of each sub-region corresponding to the set period;

[0020] A number of detection points are randomly arranged in each sub-area to obtain the detection points corresponding to each sub-area, and the soil moisture of each detection point in each sub-area after each watering in a set period is detected by a humidity sensor to obtain the soil moisture of each detection point in each sub-area after each watering in the set period as the soil moisture of each detection point corresponding to each watering in the set period in each sub-area;

[0021] Compare and analyze the soil moisture at each detection point corresponding to each watering in a set period in each sub-area to obtain the watering uniformity corresponding to each watering in a set period in each sub-area;

[0022] The watering parameters of each sub-area within the set period are composed of the number of watering times, the interval between each watering, the watering amount and the uniformity of watering in each sub-area within the set period.

[0023] Preferably, the fertilization parameters of each sub-area within a set period are obtained in the following manner:

[0024] Extracting the fertilization data corresponding to the set period of each sub-area from the water and fertilizer application data corresponding to the set period of each sub-area;

[0025] Extract the number of fertilizations in the set period in each sub-area from the fertilization data corresponding to the set period in each sub-area, and obtain the interval between each fertilization and the last watering in the set period in each sub-area based on the number of watering and fertilizations corresponding to the set period in each sub-area, and obtain the interval between each fertilization and watering in the set period in each sub-area as the water interval between each fertilization in the set period in each sub-area;

[0026] Extracting the fertilizer concentration and fertilizer amount of each fertilization in the set period in each sub-area from the fertilization data corresponding to the set period in each sub-area;

[0027] The fertilization duration of each fertilization at each detection point in each sub-region within the set period is obtained, and the fertilization duration of each fertilization at each detection point in each sub-region within the set period is used as the fertilization duration corresponding to each detection point in each sub-region within the set period, and they are compared and analyzed with each other to obtain the fertilization uniformity corresponding to each fertilization in the set period in each sub-region;

[0028] The fertilization parameters of each sub-area within the set period are composed of the number of fertilizations within the set period, the water interval duration of each fertilization, the fertilizer concentration and fertilizer amount, and the fertilization uniformity.

[0029] The crop growth monitoring module is used to monitor the crop growth parameters corresponding to each sub-region and obtain the crop growth parameters corresponding to each sub-region;

[0030] Preferably, the crop growth parameters corresponding to each sub-region are monitored to obtain the crop growth parameters corresponding to each sub-region, and the monitoring method is:

[0031] The crop images corresponding to each sub-region are collected by an intelligent high-definition camera to obtain the crop images corresponding to each sub-region; and the number of crops corresponding to each sub-region is counted from the crop images corresponding to each sub-region;

[0032] Extracting the image of each crop in each sub-region from the crop image corresponding to each sub-region, and extracting the area of ​​each leaf corresponding to each crop in each sub-region from the image of each crop corresponding to each sub-region, and calculating the average value thereof to obtain the average area of ​​the leaf corresponding to each crop in each sub-region;

[0033] A number of leaf region images are intercepted from the image of each crop corresponding to each sub-region to obtain the image of each leaf region corresponding to each crop in each sub-region, and the number of leaves corresponding to each leaf region of each crop in each sub-region is counted from the image of each leaf region corresponding to each crop in each sub-region, and the area of ​​each leaf region corresponding to each crop in each sub-region is counted, and the number of leaves corresponding to each leaf region of each crop in each sub-region is proportionally calculated to the number of leaves in its corresponding leaf region to obtain the leaf density of each leaf region corresponding to each crop in each sub-region, and the maximum leaf density and the minimum leaf density are eliminated, and the leaf density of the remaining leaf regions is averaged to be used as the density of leaves corresponding to each crop in each sub-region;

[0034] The average area and density of leaves corresponding to each crop in each sub-region are matched with the average area threshold and density threshold corresponding to each leaf grade, so as to obtain the leaf grade of each crop in each sub-region, and the crops with the same leaf grade are classified and counted to obtain the number of crops corresponding to each leaf grade in each sub-region;

[0035] Detection points are arranged on the leaves in the image of each crop in each sub-region, and the chromaticity of each detection point corresponding to each crop in each sub-region is collected. The leaf area of ​​each abnormal type of each crop in each sub-region is obtained by chromaticity analysis. The same abnormal type is integrated to obtain the total leaf area of ​​each abnormal type in each sub-region;

[0036] A number of marking points are set in each sub-region, and the soil salinity of each marking point corresponding to each sub-region is collected through a soil salt sensor to obtain the soil salinity of each marking point corresponding to each sub-region, and the soil salinity of each marking point corresponding to each sub-region is matched with the threshold corresponding to the set abnormal soil salinity. If a marking point is successfully matched, the marking point is recorded as an abnormal salinity marking point, thereby obtaining each abnormal salinity marking point corresponding to each sub-region, and then the area of ​​the abnormal salinity region corresponding to each sub-region is statistically obtained, and the area of ​​the abnormal salinity region corresponding to each sub-region is matched with the abnormal salinity region area threshold corresponding to each set abnormal salinity level, to obtain the abnormal salinity level corresponding to each sub-region;

[0037] The crop growth parameters corresponding to each sub-region are composed of the crop quantity corresponding to each sub-region, the abnormal salinity level, the crop quantity of each leaf level, and the total area of ​​each abnormal type of leaves.

[0038] The crop growth analysis module is used to analyze the preliminary problem types corresponding to each sub-region based on the crop growth parameters corresponding to each sub-region, obtain the preliminary problem types corresponding to each area to be processed, and further analyze the watering parameters and fertilization parameters of each sub-region within a set period and the external factor parameters corresponding to the agricultural area to obtain the types to be processed of each area to be processed;

[0039] Preferably, the preliminary problem types corresponding to each sub-region are analyzed based on the crop growth parameters corresponding to each sub-region to obtain the preliminary problem types corresponding to each region to be processed. The analysis process is as follows:

[0040] S1: extract the abnormal salinity level corresponding to each sub-region from the crop growth parameters corresponding to each sub-region, match the abnormal salinity level corresponding to each sub-region with the abnormal salinity level corresponding to the set fertilization problem, if a sub-region is successfully matched, then the sub-region is recorded as a region to be processed, the preliminary problem type corresponding to the region to be processed is recorded as a fertilization problem, and S2 is executed;

[0041] S2: extracting the number of crops corresponding to each leaf level in each sub-region and the number of crops corresponding to each sub-region from the crop growth parameters corresponding to each sub-region, and calculating the ratio thereof to obtain the crop ratio corresponding to each leaf level in each sub-region, matching the crop ratio corresponding to each leaf level in each sub-region with the set crop ratio threshold corresponding to each leaf level, if the crop ratio threshold corresponding to a certain leaf level fails to match, then the leaf level is recorded as an abnormal leaf level, and then the abnormal leaf levels corresponding to each sub-region are obtained, and then the abnormal leaf levels corresponding to each sub-region are matched with the leaf levels corresponding to the set fertilization problem, if there is an abnormal leaf level in a sub-region that matches successfully, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a fertilization problem, and at the same time, matching the abnormal leaf levels corresponding to each sub-region with the leaf level corresponding to the set watering problem, if there is an abnormal leaf level in a sub-region that matches successfully, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a watering problem, thereby obtaining the preliminary problem type corresponding to each region to be processed, and executing S3;

[0042] S3: extracting the total leaf area of ​​each abnormal type corresponding to each sub-region from the crop growth parameters corresponding to each sub-region, comparing the total leaf area of ​​each abnormal type corresponding to each sub-region with the set total leaf area threshold of each abnormal type, if the total leaf area of ​​a certain abnormal type is greater than the set total leaf area of ​​the corresponding abnormal type, then the abnormal type is recorded as a concern type, and each concern type corresponding to each sub-region is obtained, and each concern type corresponding to each sub-region is matched with the concern type corresponding to the set fertilization problem. If there is a successful match of a concern type in a sub-region, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a fertilization problem. At the same time, each concern type corresponding to each sub-region is matched with the concern type corresponding to the set watering problem. If there is a successful match of a concern type in a sub-region, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a watering problem. Thus, the preliminary problem type corresponding to each region to be processed is obtained, and S4 is executed;

[0043] S4: Combining S1, S2, and S3, we statistically obtain the preliminary problem types corresponding to each area that needs to be processed.

[0044] Preferably, the type of treatment to be performed in each area to be treated is obtained by further analyzing the watering parameters and fertilization parameters of each sub-area within a set period and the external factor parameters corresponding to the agricultural area. The analysis method is as follows:

[0045] Extract the external factor type and the impact level of the external factor type corresponding to the agricultural area from the external factor parameters corresponding to the agricultural area, extract the reference watering parameters and reference fertilization parameters corresponding to each impact level of each external factor type from the database, and match the external factor type and the impact level of the external factor type corresponding to the agricultural area with the reference watering parameters and reference fertilization parameters corresponding to each impact level of each external factor type, so as to obtain the reference watering parameters and reference fertilization parameters corresponding to the agricultural area;

[0046] Based on the preliminary problem types corresponding to each area to be treated, a specific analysis is performed. If the preliminary problem type corresponding to a certain area to be treated is a watering problem, A1 is executed. If the preliminary problem type corresponding to a certain area to be treated is a fertilization problem, A2 is executed. If the preliminary problem type corresponding to a certain area to be treated is a watering problem and a fertilization problem, A1 and A2 are executed simultaneously.

[0047] A1: The area to be processed whose preliminary problem type is watering problem is recorded as watering area. Based on the watering parameters of each sub-area within the set period, the number of watering times, the interval time of each watering, the watering amount and the watering uniformity corresponding to each watering area are extracted from the watering parameters of each sub-area within the set period. The reference watering number threshold, the reference interval time threshold, the reference watering amount threshold and the reference watering uniformity threshold corresponding to the agricultural area are extracted from the reference watering parameters corresponding to the agricultural area. The number of watering times, the interval time of each watering, the watering amount and the watering uniformity corresponding to each watering area are compared with the reference watering parameters. Consider matching the watering times threshold, the reference interval duration threshold of each watering, the reference watering amount threshold and the reference watering uniformity threshold. If the watering times corresponding to a certain watering area do not match the reference watering times threshold, the problem to be processed in the watering area is recorded as a watering times discrepancy problem. If the interval duration threshold of each watering corresponding to a certain watering area does not match the reference interval duration, the problem to be processed in the watering area is recorded as a watering interval duration discrepancy problem. By analogy, the corresponding to-be-processed type of each watering area is obtained as the to-be-processed type of each area to be processed.

[0048] A2: The area to be processed whose preliminary problem type is fertilization problem is recorded as fertilization area. Based on the fertilization parameters of each sub-area within the set period, the number of fertilizations, the water interval duration of each fertilization, the fertilizer concentration, the fertilizer amount and the fertilization uniformity corresponding to each fertilization area are extracted from the fertilization parameters of each sub-area within the set period. The reference fertilization number threshold, the reference interval duration threshold, the reference fertilizer concentration threshold, the reference fertilizer amount threshold and the reference fertilization uniformity threshold corresponding to the agricultural area are extracted from the reference fertilization parameters corresponding to the agricultural area. The number of fertilizations, the interval duration, the fertilizer amount and the fertilization uniformity threshold corresponding to each fertilization area are extracted. The fertilizer uniformity is matched with the reference fertilization times threshold, the reference interval duration threshold of each fertilization, the reference fertilization amount threshold and the reference fertilization uniformity threshold respectively. If the fertilization times corresponding to a fertilization area do not match the reference fertilization times threshold, the pending problem of the fertilization area is recorded as a fertilization times discrepancy problem. If the interval duration threshold of each fertilization corresponding to a fertilization area does not match the reference interval duration, the pending problem of the fertilization area is recorded as a fertilization interval duration discrepancy problem. By analogy, the pending type corresponding to each fertilization area is obtained as the pending type of each area to be processed.

[0049] Thus, the types of areas to be processed are statistically obtained.

[0050] A water and fertilizer control and execution module is used to perform corresponding treatment based on the type of treatment to be performed in each area to be treated;

[0051] The database is used to store real-time meteorological data corresponding to agricultural areas, store air temperature ranges and air humidity ranges corresponding to each impact level of each external factor type, and store reference watering parameters and reference fertilization parameters corresponding to each impact level of each external factor type.

[0052] Beneficial effects of the present invention:

[0053] The present invention obtains external parameters corresponding to the agricultural area by monitoring and analyzing external environmental parameters, and then can provide more accurate and reliable natural environment data for water and fertilizer control in the agricultural area based on the external parameters corresponding to the agricultural area, which is convenient for analyzing and adjusting the irrigation amount, frequency, fertilizer amount, etc., thereby reducing the waste of water resources and soil salinization, and further protecting the natural environment.

[0054] The present invention acquires the watering parameters and fertilization parameters of the agricultural area, which not only comprehensively considers the influence of watering and fertilization on crops, but also provides a reliable basis for subsequent water and fertilizer control analysis, making the subsequent analysis results more scientific and practical.

[0055] The present invention analyzes the crop growth parameters of the agricultural area and combines the watering parameters, fertilization parameters and external parameters of the agricultural area to obtain the type of treatment to be treated in the area to be treated, providing a targeted direction for water and fertilizer control, which can help crops cope with sudden climate changes or other environmental pressures, maintain a stable growth environment, and improve the yield and quality of crops to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The present invention will be further described below in conjunction with the accompanying drawings.

[0057] Figure 1 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] See also Figure 1 As shown, the present invention is a smart agricultural data control water and fertilizer integration system, including: an external factor parameter analysis module, a water and fertilizer data acquisition module, a crop growth monitoring module, a crop growth analysis module, a water and fertilizer control and execution module and a database;

[0060] The external factor parameter analysis module is used to monitor the external environmental parameters corresponding to the agricultural area, obtain the external environmental parameters corresponding to the agricultural area, and obtain the external factor type and the impact level of the external factor type corresponding to the agricultural area based on the external factor parameter analysis corresponding to the agricultural area, so as to form the external factor parameters corresponding to the agricultural area. The specific analysis process is as follows:

[0061] Extract the real-time meteorological data corresponding to the agricultural area from the database, obtain the date corresponding to the current monitoring time point, and extract the real-time meteorological data corresponding to the current monitoring time point from the real-time meteorological data corresponding to the agricultural area based on the date corresponding to the current monitoring time point;

[0062] Extracting the real-time air temperature and real-time air humidity of the agricultural area at the current monitoring time point from the real-time meteorological data of the agricultural area at the current monitoring time point;

[0063] Match the real-time air temperature and real-time air humidity of the agricultural area corresponding to the current monitoring time point with the air temperature range and air humidity range corresponding to each set external factor type to obtain the external factor type of the agricultural area corresponding to the current monitoring time point;

[0064] The air temperature range and air humidity range of each impact level corresponding to each external factor type stored in the database;

[0065] Based on the external factor type corresponding to the current monitoring time point of the agricultural area, the real-time air temperature and real-time air humidity of the agricultural area corresponding to the current monitoring time point are matched with the air temperature range and air humidity range of each impact level in the corresponding external factor type, and the impact level corresponding to the external factor type of the agricultural area corresponding to the current monitoring time point is obtained. The external factor type corresponding to the agricultural area and the impact level of the external factor type constitute the external factor parameters corresponding to the agricultural area.

[0066] It should be noted that the types of external factors include: drought, humidity, and normal; the impact levels include: first, second, and third, among which the highest impact level is first.

[0067] The water and fertilizer data acquisition module is used to divide the agricultural area according to the set division method, obtain each sub-area, and obtain the watering parameters of each sub-area within the set period. At the same time, the fertilization parameters of each sub-area within the set period are obtained, and the watering parameters and fertilization parameters of each sub-area within the set period are obtained. The analysis method is:

[0068] It should be noted that the agricultural area is divided according to a set division method, and the specific division method is: obtaining the regional shape and regional area of ​​the agricultural area, and dividing it evenly based on the regional shape and regional area of ​​the agricultural area, thereby obtaining sub-areas corresponding to the agricultural area.

[0069] The data of water and fertilizer application corresponding to each sub-area within the set period are collected to obtain the data of water and fertilizer application corresponding to the set period of each sub-area; the watering data corresponding to the set period of each sub-area are extracted from the water and fertilizer application data corresponding to the set period of each sub-area;

[0070] Extract the number of sprinkling times of each sub-region corresponding to the set period from the sprinkling data of each sub-region corresponding to the set period, and count the interval between each sprinkling and the next sprinkling in the set period in each sub-region based on the number of sprinkling times of each sub-region, as the interval between each sprinkling in the set period in each sub-region, and extract the amount of sprinkling in each sprinkling in the set period from the sprinkling data of each sub-region corresponding to the set period;

[0071] Several detection points are randomly arranged in each sub-area, wherein several detection points are located under the crops in the agricultural area, and the detection points corresponding to each sub-area are obtained. The soil moisture of each detection point in each sub-area after each watering in a set period is detected by a humidity sensor, and the soil moisture of each detection point in each sub-area after each watering in the set period is obtained as the soil moisture of each detection point corresponding to each watering in the set period in each sub-area;

[0072] Extract the maximum soil moisture DS corresponding to each sprinkling in the set period in each sub-area from the soil moisture of each detection point corresponding to each sprinkling in the set period in each sub-area jf , minimum soil moisture XS jf , median soil moisture ZS jf , Mode soil moisture QS jf and average soil moisture JS jf ; Among them, if the mode soil moisture QS corresponding to each watering in the set period in each sub-area jf If there are multiple, then QS jf =qs jf 1,qs jf 2,...,qs jf n ; n is the nth mode soil temperature, j is the number of each sub-area, j=1,2,...,m, m is the total number of sub-area numbers, and its value is a positive integer, f is the number of each watering, f=1,2,...,g, g is the total number of watering times, and its value is a positive integer.

[0073] According to the formula Calculate the uniformity of watering in each sub-area for each watering within the set period , e is a natural constant, where a1, a2, a3, and a4 are set weight factors, and their value ranges are all greater than 0 and less than 1. is the sum of the differences between several modes of soil moisture and the average soil temperature corresponding to the f-th sprinkling in the set period in the j-th sub-area, .

[0074] In a specific embodiment, the maximum soil moisture, minimum soil moisture, median soil moisture, mode soil moisture and average soil moisture corresponding to each watering in a set period in each sub-area are normalized and taken as the numerical value, and then substituted into the formula for corresponding calculation. Other numerical values ​​in the documents submitted by the present invention are normalized and taken as the numerical value, and then substituted into the corresponding formula for calculation.

[0075] It should be noted that when counting the interval between each watering and the next watering in a set period in each sub-area, the interval between the last watering in the set period does not need to be counted, and the uniformity and amount of watering of the last watering are not included in the statistics.

[0076] The watering parameters of each sub-area within the set period are composed of the number of watering times, the interval between each watering, the watering amount and the uniformity of watering in each sub-area within the set period.

[0077] Extracting the fertilization data corresponding to the set period of each sub-area from the water and fertilizer application data corresponding to the set period of each sub-area;

[0078] Extract the number of fertilizations in the set period in each sub-area from the fertilization data corresponding to the set period in each sub-area, and obtain the interval between each fertilization and the last watering in the set period in each sub-area based on the number of watering and fertilizations corresponding to the set period in each sub-area, and obtain the interval between each fertilization and watering in the set period in each sub-area as the water interval between each fertilization in the set period in each sub-area;

[0079] Extracting the fertilizer concentration and fertilizer amount of each fertilization in the set period in each sub-area from the fertilization data corresponding to the set period in each sub-area;

[0080] The fertilization duration of each fertilization at each detection point in each sub-area within the set period is obtained, and the fertilization duration of each fertilization at each detection point in each sub-area within the set period is used as the fertilization duration of each detection point corresponding to each fertilization in the set period in each sub-area;

[0081] Extract the maximum fertilization duration DF corresponding to each fertilization in the set period in each sub-area from the fertilization duration corresponding to each detection point in each sub-area in the set period jr , minimum fertilization time XF jr , medium fertilization duration ZF jr , mode fertilization duration QF jr And the average fertilization time JF jr ; Among them, if the mode fertilization duration QF corresponding to each fertilization in the set cycle in each sub-area jr If there are multiple, then QF jr =qf jr 1,qf jr 2,...,qf jr i ; i is the i-th mode soil temperature, j is the number of each sub-area, j=1,2,...,m, m is the total number of sub-area numbers, and its value is a positive integer, r is the number of each fertilization, r=1,2,...,w, w is the total number of fertilization times, and its value is a positive integer.

[0082] According to the formula Calculate the fertilization uniformity corresponding to each fertilization within the set period in each sub-area , e is a natural constant, where b1, b2, b3, b4 are set weight factors, and their value ranges are all greater than 0 and less than 1. is the sum of the differences between the mode fertilization durations and the average fertilization duration corresponding to the rth fertilization in the set period in the jth sub-area, .

[0083] The fertilization parameters of each sub-area within the set period are composed of the number of fertilizations within the set period, the water interval duration of each fertilization, the fertilizer concentration and fertilizer amount, and the fertilization uniformity.

[0084] The crop growth monitoring module is used to monitor the crop growth parameters corresponding to each sub-region and obtain the crop growth parameters corresponding to each sub-region. The specific analysis method is as follows:

[0085] The crop images corresponding to each sub-region are collected by an intelligent high-definition camera to obtain the crop images corresponding to each sub-region; and the number of crops corresponding to each sub-region is counted from the crop images corresponding to each sub-region;

[0086] Extracting the image of each crop in each sub-region from the crop image corresponding to each sub-region, and extracting the area of ​​each leaf corresponding to each crop in each sub-region from the image of each crop corresponding to each sub-region, and calculating the average value thereof to obtain the average area of ​​the leaf corresponding to each crop in each sub-region;

[0087] A number of leaf region images are intercepted from the image of each crop corresponding to each sub-region to obtain the image of each leaf region corresponding to each crop in each sub-region, and the number of leaves corresponding to each leaf region of each crop in each sub-region is counted from the image of each leaf region corresponding to each crop in each sub-region, and the area of ​​each leaf region corresponding to each crop in each sub-region is counted, and the number of leaves corresponding to each leaf region of each crop in each sub-region is proportionally calculated to the number of leaves in its corresponding leaf region to obtain the leaf density of each leaf region corresponding to each crop in each sub-region, and the maximum leaf density and the minimum leaf density are eliminated, and the leaf density of the remaining leaf regions is averaged to be used as the density of leaves corresponding to each crop in each sub-region;

[0088] The average area and density of leaves corresponding to each crop in each sub-region are matched with the average area threshold and density threshold corresponding to each leaf grade, so as to obtain the leaf grade of each crop in each sub-region, and the crops with the same leaf grade are classified and counted to obtain the number of crops corresponding to each leaf grade in each sub-region;

[0089] Detection points are arranged on leaves in the image of each crop in each sub-region, and the chromaticity of each detection point corresponding to each crop in each sub-region is collected. The chromaticity of each detection point corresponding to each crop in each sub-region is matched with the chromaticity range corresponding to each set abnormal type. If the chromaticity of a detection point successfully matches the chromaticity range corresponding to a set abnormal type, the detection point is recorded as the abnormal type detection point, and the abnormal type detection points corresponding to each crop in each sub-region are obtained. The detection points of the same abnormal type are classified and counted to obtain the area of ​​each crop corresponding to each abnormal type in each sub-region as the leaf area of ​​each crop corresponding to each abnormal type in each sub-region; the same abnormal type is integrated to obtain the total leaf area of ​​each sub-region corresponding to each abnormal type;

[0090] A number of marking points are set in each sub-region, and the soil salinity of each marking point corresponding to each sub-region is collected through a soil salt sensor to obtain the soil salinity of each marking point corresponding to each sub-region, and the soil salinity of each marking point corresponding to each sub-region is matched with the threshold corresponding to the set abnormal soil salinity. If a marking point is successfully matched, the marking point is recorded as an abnormal salinity marking point, thereby obtaining each abnormal salinity marking point corresponding to each sub-region, and then the area of ​​the abnormal salinity region corresponding to each sub-region is statistically obtained, and the area of ​​the abnormal salinity region corresponding to each sub-region is matched with the abnormal salinity region area threshold corresponding to each set abnormal salinity level, to obtain the abnormal salinity level corresponding to each sub-region;

[0091] The crop growth parameters corresponding to each sub-region are composed of the crop quantity corresponding to each sub-region, the abnormal salinity level, the crop quantity of each leaf level, and the total area of ​​each abnormal type of leaves.

[0092] The crop growth analysis module is used to analyze the preliminary problem types corresponding to each sub-region based on the crop growth parameters corresponding to each sub-region, obtain the preliminary problem types corresponding to each area to be processed, and further analyze the watering parameters and fertilization parameters of each sub-region within the set period and the external factor parameters corresponding to the agricultural area to obtain the types of areas to be processed. The specific analysis process is as follows:

[0093] S1: extract the abnormal salinity level corresponding to each sub-region from the crop growth parameters corresponding to each sub-region, match the abnormal salinity level corresponding to each sub-region with the abnormal salinity level corresponding to the set fertilization problem, if a sub-region is successfully matched, then the sub-region is recorded as a region to be processed, the preliminary problem type corresponding to the region to be processed is recorded as a fertilization problem, and S2 is executed;

[0094] S2: extracting the number of crops corresponding to each leaf level in each sub-region and the number of crops corresponding to each sub-region from the crop growth parameters corresponding to each sub-region, and calculating the ratio thereof to obtain the crop ratio corresponding to each leaf level in each sub-region, matching the crop ratio corresponding to each leaf level in each sub-region with the set crop ratio threshold corresponding to each leaf level, if the crop ratio threshold corresponding to a certain leaf level fails to match, then the leaf level is recorded as an abnormal leaf level, and then the abnormal leaf levels corresponding to each sub-region are obtained, and then the abnormal leaf levels corresponding to each sub-region are matched with the leaf levels corresponding to the set fertilization problem, if there is an abnormal leaf level in a sub-region that matches successfully, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a fertilization problem, and at the same time, matching the abnormal leaf levels corresponding to each sub-region with the leaf level corresponding to the set watering problem, if there is an abnormal leaf level in a sub-region that matches successfully, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a watering problem, thereby obtaining the preliminary problem type corresponding to each region to be processed, and executing S3;

[0095] S3: extracting the total leaf area of ​​each abnormal type corresponding to each sub-region from the crop growth parameters corresponding to each sub-region, comparing the total leaf area of ​​each abnormal type corresponding to each sub-region with the set total leaf area threshold of each abnormal type, if the total leaf area of ​​a certain abnormal type is greater than the set total leaf area of ​​the corresponding abnormal type, then the abnormal type is recorded as a concern type, and each concern type corresponding to each sub-region is obtained, and each concern type corresponding to each sub-region is matched with the concern type corresponding to the set fertilization problem. If there is a successful match of a concern type in a sub-region, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a fertilization problem. At the same time, each concern type corresponding to each sub-region is matched with the concern type corresponding to the set watering problem. If there is a successful match of a concern type in a sub-region, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a watering problem. Thus, the preliminary problem type corresponding to each region to be processed is obtained, and S4 is executed;

[0096] S4: Combining S1, S2, and S3, we statistically obtain the preliminary problem types corresponding to each area that needs to be processed.

[0097] Extract the external factor type and the impact level of the external factor type corresponding to the agricultural area from the external factor parameters corresponding to the agricultural area, extract the reference watering parameters and reference fertilization parameters corresponding to each impact level of each external factor type from the database, and match the external factor type and the impact level of the external factor type corresponding to the agricultural area with the reference watering parameters and reference fertilization parameters corresponding to each impact level of each external factor type, so as to obtain the reference watering parameters and reference fertilization parameters corresponding to the agricultural area;

[0098] Based on the preliminary problem types corresponding to each area to be treated, a specific analysis is performed. If the preliminary problem type corresponding to a certain area to be treated is a watering problem, A1 is executed. If the preliminary problem type corresponding to a certain area to be treated is a fertilization problem, A2 is executed. If the preliminary problem type corresponding to a certain area to be treated is a watering problem and a fertilization problem, A1 and A2 are executed simultaneously.

[0099] A1: The area to be processed whose preliminary problem type is watering problem is recorded as watering area. Based on the watering parameters of each sub-area within the set period, the number of watering times, the interval time of each watering, the watering amount and the watering uniformity corresponding to each watering area are extracted from the watering parameters of each sub-area within the set period. The reference watering number threshold, the reference interval time threshold, the reference watering amount threshold and the reference watering uniformity threshold corresponding to the agricultural area are extracted from the reference watering parameters corresponding to the agricultural area. The number of watering times, the interval time of each watering, the watering amount and the watering uniformity corresponding to each watering area are compared with the reference watering parameters. Consider matching the watering times threshold, the reference interval duration threshold of each watering, the reference watering amount threshold and the reference watering uniformity threshold. If the watering times corresponding to a certain watering area do not match the reference watering times threshold, the problem to be processed in the watering area is recorded as a watering times discrepancy problem. If the interval duration threshold of each watering corresponding to a certain watering area does not match the reference interval duration, the problem to be processed in the watering area is recorded as a watering interval duration discrepancy problem. By analogy, the corresponding to-be-processed type of each watering area is obtained as the to-be-processed type of each area to be processed.

[0100] A2: The area to be processed whose preliminary problem type is fertilization problem is recorded as fertilization area. Based on the fertilization parameters of each sub-area within the set period, the number of fertilizations, the water interval duration of each fertilization, the fertilizer concentration, the fertilizer amount and the fertilization uniformity corresponding to each fertilization area are extracted from the fertilization parameters of each sub-area within the set period. The reference fertilization number threshold, the reference interval duration threshold, the reference fertilizer concentration threshold, the reference fertilizer amount threshold and the reference fertilization uniformity threshold corresponding to the agricultural area are extracted from the reference fertilization parameters corresponding to the agricultural area. The number of fertilizations, the interval duration, the fertilizer amount and the fertilization uniformity threshold corresponding to each fertilization area are extracted. The fertilizer uniformity is matched with the reference fertilization times threshold, the reference interval duration threshold of each fertilization, the reference fertilization amount threshold and the reference fertilization uniformity threshold respectively. If the fertilization times corresponding to a fertilization area do not match the reference fertilization times threshold, the pending problem of the fertilization area is recorded as a fertilization times discrepancy problem. If the interval duration threshold of each fertilization corresponding to a fertilization area does not match the reference interval duration, the pending problem of the fertilization area is recorded as a fertilization interval duration discrepancy problem. By analogy, the pending type corresponding to each fertilization area is obtained as the pending type of each area to be processed.

[0101] Thus, the types of areas to be processed are statistically obtained.

[0102] A water and fertilizer control and execution module is used to perform corresponding treatment based on the type of treatment to be performed in each area to be treated;

[0103] The database is used to store real-time meteorological data corresponding to agricultural areas, store air temperature ranges and air humidity ranges corresponding to each impact level of each external factor type, and store reference watering parameters and reference fertilization parameters corresponding to each impact level of each external factor type.

[0104] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined in the documents submitted for the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A smart agricultural data control water and fertilizer integration system, characterized in that: include: The external factor parameter analysis module is used to monitor the external environmental parameters corresponding to the agricultural area, obtain the external environmental parameters corresponding to the agricultural area, and obtain the external factor type corresponding to the agricultural area and the impact level of the external factor type based on the external factor parameter analysis corresponding to the agricultural area, so as to form the external factor parameters corresponding to the agricultural area: extract the real-time meteorological data corresponding to the agricultural area from the database, and obtain the date corresponding to the current monitoring time point, and extract the real-time meteorological data corresponding to the current monitoring time point from the real-time meteorological data corresponding to the agricultural area based on the date corresponding to the current monitoring time point; Extracting the real-time air temperature and real-time air humidity of the agricultural area at the current monitoring time point from the real-time meteorological data of the agricultural area at the current monitoring time point; Match the real-time air temperature and real-time air humidity of the agricultural area corresponding to the current monitoring time point with the air temperature range and air humidity range corresponding to each set external factor type to obtain the external factor type of the agricultural area corresponding to the current monitoring time point; Extract the air temperature range and air humidity range corresponding to each impact level of each external factor type stored in the database; Based on the external factor type corresponding to the current monitoring time point of the agricultural area, the real-time air temperature and real-time air humidity of the agricultural area corresponding to the current monitoring time point are matched with the air temperature range and air humidity range of each impact level in the corresponding external factor type, and the impact level corresponding to the external factor type of the agricultural area corresponding to the current monitoring time point is obtained, which serves as the external factor type corresponding to the agricultural area and the impact level of the external factor type, and constitutes the external factor parameters corresponding to the agricultural area; The water and fertilizer data acquisition module is used to divide the agricultural area according to the set division method to obtain each sub-area, and obtain the watering parameters of each sub-area within the set period, and at the same time obtain the fertilization parameters of each sub-area within the set period, and obtain the watering parameters and fertilization parameters of each sub-area within the set period; The crop growth monitoring module is used to monitor the crop growth parameters corresponding to each sub-region and obtain the crop growth parameters corresponding to each sub-region: collect the crop images corresponding to each sub-region through an intelligent high-definition camera to obtain the crop images corresponding to each sub-region; and count the number of crops corresponding to each sub-region from the crop images corresponding to each sub-region; Extracting the image of each crop in each sub-region from the crop image corresponding to each sub-region, and extracting the area of ​​each leaf corresponding to each crop in each sub-region from the image of each crop corresponding to each sub-region, and calculating the average value thereof to obtain the average area of ​​the leaf corresponding to each crop in each sub-region; A number of leaf region images are intercepted from the images of each crop corresponding to each sub-region to obtain images of each leaf region corresponding to each crop in each sub-region, and the number of leaves in each leaf region corresponding to each crop in each sub-region is counted from the images of each leaf region corresponding to each crop in each sub-region, and the area of ​​each leaf region corresponding to each crop in each sub-region is counted, and the leaf density of each leaf region corresponding to each crop in each sub-region is calculated according to the number of leaves in each leaf region corresponding to each crop in each sub-region and the area of ​​the corresponding leaf region, and the maximum leaf density and the minimum leaf density are eliminated, and the leaf density of the remaining leaf regions is averaged and calculated as the density of leaves corresponding to each crop in each sub-region; The average area and density of leaves corresponding to each crop in each sub-region are matched with the average area threshold and density threshold corresponding to each leaf grade, so as to obtain the leaf grade of each crop in each sub-region, and the crops with the same leaf grade are classified and counted to obtain the number of crops corresponding to each leaf grade in each sub-region; Detection points are arranged on the leaves in the image of each crop in each sub-region, and the chromaticity of each detection point corresponding to each crop in each sub-region is collected. The leaf area of ​​each abnormal type of each crop in each sub-region is obtained by chromaticity analysis. The same abnormal type is integrated to obtain the total leaf area of ​​each abnormal type in each sub-region; A number of marking points are set in each sub-region, and the soil salinity of each marking point corresponding to each sub-region is collected through a soil salt sensor to obtain the soil salinity of each marking point corresponding to each sub-region, and the soil salinity of each marking point corresponding to each sub-region is matched with the threshold corresponding to the set abnormal soil salinity. If a marking point is successfully matched, the marking point is recorded as an abnormal salinity marking point, thereby obtaining each abnormal salinity marking point corresponding to each sub-region, and then the area of ​​the abnormal salinity region corresponding to each sub-region is statistically obtained, and the area of ​​the abnormal salinity region corresponding to each sub-region is matched with the abnormal salinity region area threshold corresponding to each set abnormal salinity level, to obtain the abnormal salinity level corresponding to each sub-region; The crop growth parameters corresponding to each sub-region are composed of the number of crops corresponding to each sub-region, the abnormal salinity level, the number of crops of each leaf level, and the total area of ​​leaves of each abnormal type; The crop growth analysis module is used to analyze the preliminary problem type corresponding to each sub-region based on the crop growth parameters corresponding to each sub-region, obtain the preliminary problem type corresponding to each area to be processed, and further analyze the watering parameters and fertilization parameters of each sub-region within a set period and the external factor parameters corresponding to the agricultural area to obtain the to-be-processed type of each area to be processed: S1: extract the abnormal salinity level corresponding to each sub-region from the crop growth parameters corresponding to each sub-region, match the abnormal salinity level corresponding to each sub-region with the abnormal salinity level corresponding to the set fertilization problem, if a sub-region is successfully matched, then the sub-region is recorded as the area to be processed, the preliminary problem type corresponding to the area to be processed is recorded as the fertilization problem, and S2 is executed; S2: extracting the number of crops corresponding to each leaf level in each sub-region and the number of crops corresponding to each sub-region from the crop growth parameters corresponding to each sub-region, and calculating the ratio thereof to obtain the crop ratio corresponding to each leaf level in each sub-region, matching the crop ratio corresponding to each leaf level in each sub-region with the set crop ratio threshold corresponding to each leaf level, if the crop ratio threshold corresponding to a certain leaf level fails to match, then the leaf level is recorded as an abnormal leaf level, and then the abnormal leaf levels corresponding to each sub-region are obtained, and then the abnormal leaf levels corresponding to each sub-region are matched with the leaf levels corresponding to the set fertilization problem, if there is an abnormal leaf level in a sub-region that matches successfully, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a fertilization problem, and at the same time, matching the abnormal leaf levels corresponding to each sub-region with the leaf level corresponding to the set watering problem, if there is an abnormal leaf level in a sub-region that matches successfully, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a watering problem, thereby obtaining the preliminary problem type corresponding to each region to be processed, and executing S3; S3: extracting the total leaf area of ​​each abnormal type corresponding to each sub-region from the crop growth parameters corresponding to each sub-region, comparing the total leaf area of ​​each abnormal type corresponding to each sub-region with the set total leaf area threshold of each abnormal type, if the total leaf area of ​​a certain abnormal type is greater than the set total leaf area of ​​the corresponding abnormal type, then the abnormal type is recorded as a concern type, and each concern type corresponding to each sub-region is obtained, and each concern type corresponding to each sub-region is matched with the concern type corresponding to the set fertilization problem. If there is a successful match of a concern type in a sub-region, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a fertilization problem. At the same time, each concern type corresponding to each sub-region is matched with the concern type corresponding to the set watering problem. If there is a successful match of a concern type in a sub-region, then the sub-region is recorded as a region to be processed, and the preliminary problem type corresponding to the region to be processed is recorded as a watering problem. Thus, the preliminary problem type corresponding to each region to be processed is obtained, and S4 is executed; S4: Combining S1, S2, and S3, statistically obtain the preliminary problem types corresponding to each area to be processed; Extract the external factor type and the impact level of the external factor type corresponding to the agricultural area from the external factor parameters corresponding to the agricultural area, extract the reference watering parameters and reference fertilization parameters corresponding to each impact level of each external factor type from the database, and match the external factor type and the impact level of the external factor type corresponding to the agricultural area with the reference watering parameters and reference fertilization parameters corresponding to each impact level of each external factor type, so as to obtain the reference watering parameters and reference fertilization parameters corresponding to the agricultural area; Based on the preliminary problem types corresponding to each area to be treated, a specific analysis is performed. If the preliminary problem type corresponding to a certain area to be treated is a watering problem, A1 is executed. If the preliminary problem type corresponding to a certain area to be treated is a fertilization problem, A2 is executed. If the preliminary problem type corresponding to a certain area to be treated is a watering problem and a fertilization problem, A1 and A2 are executed simultaneously. A1: The area to be processed whose preliminary problem type is watering problem is recorded as watering area. Based on the watering parameters of each sub-area within the set period, the number of watering times, the interval time of each watering, the watering amount and the watering uniformity corresponding to each watering area are extracted from the watering parameters of each sub-area within the set period. The reference watering number threshold, the reference interval time threshold, the reference watering amount threshold and the reference watering uniformity threshold corresponding to the agricultural area are extracted from the reference watering parameters corresponding to the agricultural area. The number of watering times, the interval time of each watering, the watering amount and the watering uniformity corresponding to each watering area are compared with the reference watering parameters. Consider matching the watering times threshold, the reference interval duration threshold of each watering, the reference watering amount threshold and the reference watering uniformity threshold. If the watering times corresponding to a certain watering area do not match the reference watering times threshold, the problem to be processed in the watering area is recorded as a watering times discrepancy problem. If the interval duration threshold of each watering corresponding to a certain watering area does not match the reference interval duration, the problem to be processed in the watering area is recorded as a watering interval duration discrepancy problem. By analogy, the corresponding to-be-processed type of each watering area is obtained as the to-be-processed type of each area to be processed. A2: The area to be processed whose preliminary problem type is fertilization problem is recorded as fertilization area. Based on the fertilization parameters of each sub-area within the set period, the number of fertilizations, the water interval duration of each fertilization, the fertilizer concentration, the fertilizer amount and the fertilization uniformity corresponding to each fertilization area are extracted from the fertilization parameters of each sub-area within the set period. The reference fertilization number threshold, the reference interval duration threshold, the reference fertilizer concentration threshold, the reference fertilizer amount threshold and the reference fertilization uniformity threshold corresponding to the agricultural area are extracted from the reference fertilization parameters corresponding to the agricultural area. The number of fertilizations, the interval duration, the fertilizer amount and the fertilization uniformity threshold corresponding to each fertilization area are extracted. The fertilizer uniformity is matched with the reference fertilization times threshold, the reference interval duration threshold of each fertilization, the reference fertilization amount threshold and the reference fertilization uniformity threshold respectively. If the fertilization times corresponding to a fertilization area do not match the reference fertilization times threshold, the pending problem of the fertilization area is recorded as a fertilization times discrepancy problem. If the interval duration threshold of each fertilization corresponding to a fertilization area does not match the reference interval duration, the pending problem of the fertilization area is recorded as a fertilization interval duration discrepancy problem. By analogy, the pending type corresponding to each fertilization area is obtained as the pending type of each area to be processed. Thus, the types of processing to be carried out in each area to be processed are obtained by statistics; A water and fertilizer control and execution module is used to perform corresponding treatment based on the type of treatment to be performed in each area to be treated; The database is used to store real-time meteorological data corresponding to agricultural areas, store air temperature ranges and air humidity ranges corresponding to each impact level of each external factor type, and store reference watering parameters and reference fertilization parameters corresponding to each impact level of each external factor type.

2. According to claim 1, a smart agricultural data control water and fertilizer integration system is characterized in that: The watering parameters of each sub-area within the set period are obtained in the following manner: The data of water and fertilizer application corresponding to each sub-area within the set period are collected to obtain the data of water and fertilizer application corresponding to the set period of each sub-area; the watering data corresponding to the set period of each sub-area are extracted from the water and fertilizer application data corresponding to the set period of each sub-area; Extract the number of sprinkling times of each sub-region corresponding to the set period from the sprinkling data of each sub-region corresponding to the set period, and count the interval between each sprinkling and the next sprinkling in the set period in each sub-region based on the number of sprinkling times of each sub-region, as the interval between each sprinkling in the set period in each sub-region, and extract the amount of sprinkling in each sprinkling in the set period from the sprinkling data of each sub-region corresponding to the set period; A number of detection points are randomly arranged in each sub-area to obtain the detection points corresponding to each sub-area, and the soil moisture of each detection point in each sub-area after each watering in a set period is detected by a humidity sensor to obtain the soil moisture of each detection point in each sub-area after each watering in the set period as the soil moisture of each detection point corresponding to each watering in the set period in each sub-area; Compare and analyze the soil moisture at each detection point corresponding to each watering in a set period in each sub-area to obtain the watering uniformity corresponding to each watering in a set period in each sub-area; The watering parameters of each sub-area within the set period are composed of the number of watering times, the interval between each watering, the watering amount and the uniformity of watering in each sub-area within the set period.

3. According to claim 1, a smart agricultural data control water and fertilizer integration system is characterized in that: The fertilization parameters of each sub-area within the set period are obtained in the following manner: Extracting the fertilization data corresponding to the set period of each sub-area from the water and fertilizer application data corresponding to the set period of each sub-area; Extract the number of fertilizations in the set period in each sub-area from the fertilization data corresponding to the set period in each sub-area, and obtain the interval between each fertilization and the last watering in the set period in each sub-area based on the number of watering and fertilizations corresponding to the set period in each sub-area, and obtain the interval between each fertilization and watering in the set period in each sub-area as the water interval between each fertilization in the set period in each sub-area; Extracting the fertilizer concentration and fertilizer amount of each fertilization in the set period in each sub-area from the fertilization data corresponding to the set period in each sub-area; The fertilization duration of each fertilization at each detection point in each sub-region within the set period is obtained, and the fertilization duration of each fertilization at each detection point in each sub-region within the set period is used as the fertilization duration corresponding to each detection point in each sub-region within the set period, and they are compared and analyzed with each other to obtain the fertilization uniformity corresponding to each fertilization in the set period in each sub-region; The fertilization parameters of each sub-area within the set period are composed of the number of fertilizations within the set period, the water interval duration of each fertilization, the fertilizer concentration and fertilizer amount, and the fertilization uniformity.

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