Field water and fertilizer intelligent irrigation control method and system based on Internet of Things

Abstract

The present invention discloses a field water and fertilizer intelligent irrigation control method and system based on the Internet of Things, which relates to the field of intelligent irrigation and includes the following steps: collecting irrigation water volume impact data and irrigation fertilizer volume impact data through a sensor device connected to the Internet of Things, analyzing and processing to obtain a field water and fertilizer irrigation demand index, and obtaining field water and fertilizer intelligent irrigation parameters, and executing water and fertilizer intelligent irrigation control according to the field water and fertilizer intelligent irrigation parameters in a control center. It can accurately analyze the needs of crops and execute corresponding irrigation control, improve the irrigation management level of farmland, further improve the water and fertilizer utilization efficiency, ensure the stability of the crop growth environment, and fully ensure the effectiveness and timeliness of irrigation resource utilization.

Description

Technical Field

[0001] The present invention relates to the field of intelligent irrigation technology, and in particular to a field water and fertilizer intelligent irrigation control method and system based on the Internet of Things. Background Art

[0002] With the continuous growth of the global population, agricultural production faces huge challenges. In the field of agricultural production, irrigation systems are usually used to accurately provide water and fertilizers to crops. Traditional irrigation methods usually rely on manual operation, which is inefficient and difficult to accurately regulate according to the actual needs of crops, which easily leads to waste of water resources and fertilizers.

[0003] The prior art, such as the invention patent with announcement number: CN102499028B, is a wireless intelligent irrigation system, including: a server host, a central controller, a wireless electromagnetic valve and a data acquisition system. The server host encodes the irrigation signal and sends it to the central controller through a GSM module; after receiving the signal, the central controller sends a handshake signal to the server host and processes the received command, and after decoding, sends it to the wireless electromagnetic valve through a wireless transmission module to control it to open for irrigation, and also includes a data acquisition system for collecting various environmental information. This system has the function of directly sending digital control signals to selectively open or close conventional irrigation electromagnetic valves, and irrigates appropriately according to the water demand of the plants, so that the irrigation is more targeted, avoiding the waste of precious water resources, and the central controller can be controlled by wireless editing program instructions through the server host or a mobile terminal such as a mobile phone, avoiding the increase in manpower and material costs caused by the laying of control cables, greatly reducing costs.

[0004] The prior art, such as the invention patent with announcement number: CN108153269B, is a control method and system for intelligent plant irrigation, including using a mobile device to obtain irrigation controller information and corresponding plant information, using the mobile device to send the irrigation controller information and the corresponding plant information to a server for storage, using the irrigation controller to send the irrigation controller information to the server through a gateway, using the server to query the irrigation controller information and the corresponding plant information and form a configuration file, and using the server to update the configuration file of the irrigation controller. This invention does not require excessive user intervention, can adapt to various plant types, has lower cost, and has broad application prospects.

[0005] From the above solutions, it can be seen that the current intelligent irrigation system only focuses on the realization of specific functions, and the irrigation methods are relatively simple and not precise enough, resulting in low utilization rate of irrigation equipment. Therefore, the current irrigation system is difficult to meet complex irrigation needs, and its overall applicability and effectiveness need to be improved. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a field water and fertilizer intelligent irrigation control method and system based on the Internet of Things, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: On the one hand, the present invention provides a field water and fertilizer intelligent irrigation control method based on the Internet of Things, comprising the following steps: S1, collecting irrigation water volume impact data and irrigation fertilizer volume impact data through a sensor device connected to the Internet of Things, and uniformly marking them as a field water and fertilizer irrigation data set.

[0008] S2, based on the collected field water and fertilizer irrigation data set, analyze and process to obtain the field water and fertilizer irrigation demand index.

[0009] S3, according to the field water and fertilizer irrigation demand index, analyze and process the field water and fertilizer intelligent irrigation parameters, and upload them to the control center.

[0010] S4, the control center performs water and fertilizer intelligent irrigation control according to the field water and fertilizer intelligent irrigation parameters.

[0011] As a preferred technical solution, the irrigation water volume influencing data include field soil moisture, field crop moisture content, field crop leaf stomatal conductance and field ambient temperature.

[0012] The data on the impact of irrigation fertilizer amount include the average plant height, average stem diameter, planting density and field soil pH value of field crops.

[0013] As a preferred technical solution, the analysis and processing obtains the field water and fertilizer irrigation demand index, and the specific process is as follows: the field irrigation water demand index is obtained based on the analysis and processing of the irrigation water volume impact data.

[0014] The field irrigation fertilizer demand index is obtained based on the analysis and processing of the irrigation fertilizer impact data.

[0015] Based on the field irrigation water demand index and the field irrigation fertilizer demand index, the field water and fertilizer irrigation demand index is obtained through comprehensive analysis.

[0016] The field water and fertilizer irrigation demand index is a numerical result of quantifying the field irrigation water demand index and the field irrigation fertilizer demand index, and is used to characterize the demand degree of field crops for water and fertilizer irrigation.

[0017] As a preferred technical solution, the field irrigation water demand index has the following specific analysis and processing process: obtaining the current growth cycle of the field crops, and mapping and matching it with the irrigation water reference data of the field crops in each growth cycle stored in the cloud database to obtain the current irrigation water reference data of the field crops, wherein the current irrigation water reference data of the field crops includes field reference soil moisture, field crop reference moisture content, field crop reference leaf stomatal conductance and field reference ambient temperature.

[0018] Based on the irrigation water impact data and irrigation water reference data, the field irrigation water demand index is obtained through analysis and processing.

[0019] The field irrigation water demand index is a numerical result of quantifying the irrigation water impact data and the current irrigation water reference data, and is used to characterize the demand degree of field crops for irrigation water.

[0020] As a preferred technical solution, the field irrigation fertilizer demand index has the following specific analysis and processing process: obtaining the current growth cycle of the field crops, and mapping and matching it with the irrigation fertilizer reference data of the field crops in each growth cycle stored in the cloud database to obtain the current irrigation fertilizer reference data of the field crops, wherein the current irrigation fertilizer reference data of the field crops includes the reference plant height, reference stem diameter, reference planting density and reference soil pH value of the field crops.

[0021] Based on the irrigation fertilizer impact data and irrigation fertilizer reference data, the field irrigation fertilizer demand index is obtained through analysis and processing.

[0022] The field irrigation fertilizer demand index is a numerical result of quantifying the irrigation fertilizer impact data and the current irrigation fertilizer reference data, and is used to characterize the demand degree of field crops for irrigation fertilizer.

[0023] As an optimal technical solution, the control center performs water and fertilizer intelligent irrigation control according to the field water and fertilizer intelligent irrigation parameters. The specific process is as follows: based on the field water and fertilizer irrigation demand index, it is compared with the preset field water and fertilizer irrigation demand index threshold. If the field water and fertilizer irrigation demand index is lower than or equal to the field water and fertilizer irrigation demand index threshold, it is determined that the field water and fertilizer control will not be executed. If the field water and fertilizer irrigation demand index is higher than the field water and fertilizer irrigation demand index threshold, the field water and fertilizer intelligent irrigation parameters are analyzed and it is determined to execute water and fertilizer intelligent irrigation control, thereby controlling the field water and fertilizer intelligent irrigation device to perform intelligent irrigation according to the field water and fertilizer intelligent irrigation parameters.

[0024] As a preferred technical solution, the field water and fertilizer intelligent irrigation parameters include intelligent irrigation water volume and intelligent irrigation fertilizer volume, and the specific analysis process is: extracting the field irrigation water volume demand threshold value and the field irrigation fertilizer volume demand threshold value preset in the cloud database.

[0025] The planting area corresponding to the field crops is obtained, and based on the current growth cycle of the field crops, the default execution water and fertilizer parameters of the field crops in various planting area intervals in each growth cycle stored in the cloud database are matched to obtain the default execution water and fertilizer parameters of the field crops, wherein the default execution water and fertilizer parameters include the default irrigation water volume and the default irrigation fertilizer volume.

[0026] Based on the field irrigation water demand index, field irrigation water demand threshold value and default water and fertilizer parameters, intelligent irrigation water volume is obtained through analysis and processing.

[0027] Based on the field irrigation fertilizer demand index, the field irrigation fertilizer demand threshold value and the default execution water and fertilizer parameters, the intelligent irrigation fertilizer amount is analyzed and processed.

[0028] As a preferred technical solution, the field water and fertilizer intelligent irrigation control method based on the Internet of Things also includes monitoring the water and fertilizer irrigation control process. The specific process is: monitoring the water and fertilizer irrigation control process to obtain the execution parameters of the field water and fertilizer intelligent irrigation device, and the execution parameters include the water output speed and fertilizer output speed of the field water and fertilizer intelligent irrigation device.

[0029] Based on the execution parameters of the water and fertilizer irrigation control device, the control indicator coefficient of the field water and fertilizer intelligent irrigation device is processed and compared with the preset control indicator trigger value of the field water and fertilizer intelligent irrigation device. If the control indicator coefficient of the field water and fertilizer intelligent irrigation device is greater than or equal to the control indicator trigger value of the field water and fertilizer intelligent irrigation device, an early warning message is generated, uploaded to the control center and an irrigation early warning is triggered.

[0030] As a preferred technical solution, the field water and fertilizer intelligent irrigation parameters, including the intelligent irrigation water volume, are specifically processed as follows: Among them, C is the amount of smart irrigation water, C 0 is the default irrigation water volume, A is the field irrigation water demand index, and A 0 is the threshold value of field irrigation water demand, ω 1 The intelligent irrigation water configuration supplementary value is provided for the unit deviation value of the field irrigation water demand index in the cloud database.

[0031] The specific processing formula of the intelligent irrigation fertilizer amount is as follows:

[0032] Among them, D is the amount of intelligent irrigation fertilizer, D 0 is the default irrigation fertilizer amount, B is the field irrigation fertilizer demand index, and B 0 is the threshold value of fertilizer demand for field irrigation, ω 2 The intelligent irrigation fertilizer configuration supplements the value of the unit deviation value of the field irrigation fertilizer requirement index in the cloud database.

[0033] The second aspect of the present invention provides a field water and fertilizer intelligent irrigation control system based on the Internet of Things, including: a field data collection module, which is used to collect irrigation water volume impact data and irrigation fertilizer volume impact data through a sensor device connected to the Internet of Things, and uniformly mark them as field water and fertilizer irrigation data sets.

[0034] The field water and fertilizer demand analysis module is used to analyze and process the collected field water and fertilizer irrigation data set to obtain the field water and fertilizer irrigation demand index.

[0035] The field water and fertilizer irrigation system control module is used to analyze and process the field water and fertilizer intelligent irrigation parameters according to the field water and fertilizer irrigation demand index, and upload them to the control center.

[0036] The field water and fertilizer intelligent irrigation execution module is used for the control center to execute water and fertilizer intelligent irrigation control according to the field water and fertilizer intelligent irrigation parameters.

[0037] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:

[0038] (1) The present invention provides an intelligent field water and fertilizer irrigation control method and system based on the Internet of Things, which accurately analyzes the needs of crops and executes corresponding irrigation control, thereby improving the irrigation management level of farmland, further improving the efficiency of water and fertilizer utilization, ensuring the stability of the crop growth environment, and fully ensuring the effectiveness and timeliness of irrigation resource utilization.

[0039] (2) The present invention collects irrigation water volume impact data and irrigation fertilizer volume impact data through a sensor device connected to the Internet of Things, providing a rich data basis for subsequent analysis work, improving the comprehensiveness and accuracy of the water fee irrigation consideration dimensions, and enhancing the reliability of the system's judgment on the water and fertilizer conditions of farmland.

[0040] (3) By analyzing the field water and fertilizer irrigation demand index, the present invention can accurately evaluate the water and fertilizer demand of crops, provide a scientific basis for formulating reasonable irrigation execution parameters, and improve the scientificity and pertinence of irrigation.

[0041] (4) The present invention ensures the accurate implementation of irrigation measures by performing intelligent water and fertilizer irrigation control according to field water and fertilizer intelligent irrigation parameters, effectively improves the timeliness and accuracy of irrigation operations, and significantly improves the water and fertilizer management efficiency of farmland and the growth quality of crops.

[0042] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0044] Figure 2 It is a schematic diagram of system module connection of the present invention;

[0045] Figure 3 It is a scatter plot of the field irrigation fertilizer demand index involved in the embodiment of the present invention. DETAILED DESCRIPTION

[0046] 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.

[0047] See also Figure 1 As shown, the first aspect of an embodiment of the present invention provides a field water and fertilizer intelligent irrigation control method based on the Internet of Things, comprising the following steps: collecting irrigation water volume impact data and irrigation fertilizer volume impact data through a sensor device connected to the Internet of Things, and uniformly marking them as a field water and fertilizer irrigation data set.

[0048] In this embodiment, the irrigation water volume impact data include field soil moisture, field crop moisture content, field crop leaf stomatal conductance and field ambient temperature.

[0049] It should be noted that the irrigation water volume impact data is obtained through an irrigation water volume integrated sensing device, which includes a soil moisture sensor, a crop water volume detector, a stomatal conductance meter and a temperature sensor.

[0050] It is important to understand that the stomatal conductance of field crop leaves is associated with the moisture status of the crops and can reflect the water requirements of the crops.

[0051] When the stomatal conductance of crop leaves is large, it means that the stomatal opening degree is high, gas exchange is more active, crop transpiration is enhanced, and water loss rate is accelerated. In order to meet the water demand of crops and prevent plants from being dehydrated due to excessive water loss, it is necessary to increase the amount of irrigation water to replenish the water consumed by transpiration. On the contrary, if the stomatal conductance of crop leaves is small, the stomatal opening degree is low, the transpiration is relatively weak, and the water loss is less, then the amount of water can be appropriately reduced during irrigation to avoid excessive saturation of soil moisture, resulting in water resource waste and possible root diseases. For example, in hot and dry weather conditions, crops will increase the stomatal conductance of leaves in order to dissipate heat. At this time, if the amount of irrigation water is not increased in time, the crops may grow poorly due to lack of water. In a cooler and more humid environment, the stomatal conductance of leaves is usually smaller, and the amount of irrigation water can be reduced accordingly.

[0052] The data on the impact of irrigation fertilizer amount include the average plant height, average stem diameter, planting density and field soil pH value of field crops.

[0053] It should be noted that the irrigation fertilizer amount impact data is obtained through an irrigation fertilizer amount integrated sensing device, which includes a caliper sensor, an image recognition sensor and a soil pH sensor.

[0054] The caliper sensor can directly detect the plant height and stem thickness of the crop.

[0055] The image recognition sensor can obtain the number and distribution of crops by taking images of crops in the field and analyzing and processing them, thereby obtaining the planting density.

[0056] It should be understood that the pH value of the field soil will affect the effectiveness of fertilizer nutrients. In soils with different pH values, in order to meet the nutrient needs of crops, the amount of irrigation fertilizer needs to be adjusted accordingly.

[0057] In this embodiment, the sensing device connected by the Internet of Things collects the irrigation water volume impact data and the irrigation fertilizer volume impact data, which provides a rich data basis for subsequent analysis work, improves the comprehensiveness and accuracy of the water fee irrigation considerations, and enhances the reliability of the system's judgment on the water and fertilizer conditions of farmland.

[0058] Based on the collected field water and fertilizer irrigation data set, the field water and fertilizer irrigation demand index is obtained through analysis and processing.

[0059] In this embodiment, the analysis and processing to obtain the field water and fertilizer irrigation demand index is specifically as follows: the field irrigation water demand index is obtained based on the analysis and processing of the irrigation water volume impact data.

[0060] The field irrigation fertilizer demand index is obtained based on the analysis and processing of the irrigation fertilizer impact data.

[0061] Based on the field irrigation water demand index and the field irrigation fertilizer demand index, the field water and fertilizer irrigation demand index is obtained through comprehensive analysis.

[0062] The field water and fertilizer irrigation demand index is a numerical result of quantifying the field irrigation water demand index and the field irrigation fertilizer demand index, and is used to characterize the demand degree of field crops for water and fertilizer irrigation.

[0063] In a specific embodiment, the field water and fertilizer irrigation demand index is specifically formulated as follows:

[0064] C=A*μ 1 +B*μ 2 , where C is the field water and fertilizer irrigation demand index, A is the field irrigation water demand index, B is the field irrigation fertilizer demand index, μ1 is the weight factor of field irrigation water demand index, μ 2 is the weight factor of field irrigation fertilizer demand index.

[0065] It should be noted that the preset field irrigation water demand index weight factor and field irrigation fertilizer demand index weight factor have a value range between 0 and 1. They can either directly extract the preset value from the database, or construct a mapping comparison set of the field irrigation water demand index, the field irrigation fertilizer demand index and the weight factor based on the relationship between the field irrigation water demand index and the field irrigation fertilizer demand index in the historical configuration information and the field water and fertilizer irrigation demand index. In a specific embodiment, the field irrigation water demand index weight factor and the field irrigation fertilizer demand index weight factor are obtained by inputting the actual field irrigation water demand index and the field irrigation fertilizer demand index into the corresponding mapping comparison set one by one.

[0066] It should also be noted that in this embodiment, the field water and fertilizer irrigation demand index is obtained by processing according to the field irrigation water demand index and the field irrigation fertilizer demand index, taking into account the interaction between the two indices. For example, a higher field irrigation water demand index may mean that the crop is more dependent on water, but water will dilute the concentration of fertilizer in the soil, so that the contact opportunities between fertilizer ions and crop roots are relatively reduced, thereby reducing the absorption efficiency of fertilizers. Changes in the field irrigation fertilizer demand index will also affect the retention and utilization of water. When the field irrigation fertilizer demand index becomes larger, the amount of fertilizer needs to be increased, but the increase in fertilizer use will lead to an increase in soil osmotic pressure, making it more difficult for crop roots to absorb water, thereby increasing the crop demand. It takes more energy to absorb water, which affects the water use efficiency. At the same time, the water and fertilizer demand ratios of different crops at different growth stages are also different. Comprehensive analysis of the field irrigation water demand index and the field irrigation fertilizer demand index, the obtained field water and fertilizer irrigation demand index, can reflect the actual water and fertilizer demand of field crops during the growth process, and indirectly affect the decision-making of field water and fertilizer irrigation. If the growth conditions of field crops are more special, even if there are no obvious symptoms of water-fertilizer imbalance at present, the arrangement of field water and fertilizer irrigation should be optimized to ensure that the growth needs of crops can be met, and to avoid reduced production or poor growth due to insufficient or imbalanced water and fertilizer supply. If the decision of field water and fertilizer irrigation is unreasonable, the best time to ensure good growth and harvest of crops may be missed.

[0067] In this embodiment, by analyzing the field water and fertilizer irrigation demand index, the water and fertilizer demand status of crops can be accurately assessed, providing a scientific basis for formulating reasonable irrigation execution parameters, and improving the scientificity and pertinence of irrigation.

[0068] In this embodiment, the field irrigation water demand index is specifically obtained by the following process: obtaining the current growth cycle of the field crops, and mapping and matching it with the irrigation water reference data of the field crops in each growth cycle stored in the cloud database to obtain the current irrigation water reference data of the field crops, wherein the current irrigation water reference data of the field crops includes field reference soil moisture, field crop reference moisture content, field crop reference leaf stomatal conductance and field reference ambient temperature.

[0069] It should be understood that the purpose of obtaining the current growth cycle of field crops is to more accurately determine the characteristics and patterns of water demand of crops at this stage. Crops in different growth cycles have different physiological activities and adaptability to the environment. For example, in the seedling stage, the crop roots are shallow, the water demand is relatively small, and the requirement for soil moisture is relatively low. In the flowering and fruiting period, crops grow vigorously, the transpiration is strong, and more water supply is needed. The requirement for field reference soil moisture is higher. By obtaining the current growth cycle and matching it with the corresponding reference data, it is possible to provide an accurate basis for formulating scientific and reasonable irrigation plans, avoid problems such as poor growth and reduced production caused by improper irrigation, and improve the efficiency and quality of agricultural production.

[0070] In this embodiment, the cloud database is used to store reference indicator data, and the reference indicator data includes first reference indicator data, second reference indicator data, third reference indicator data and fourth reference indicator data.

[0071] The first reference indicator data includes irrigation water reference data for field crops in each growth cycle and irrigation fertilizer reference data for field crops in each growth cycle, as well as field irrigation water demand threshold value and field irrigation fertilizer demand threshold value, and also includes default water and fertilizer parameters for field crops in each planting area range in each growth cycle.

[0072] The second reference indicator data includes the field irrigation water demand index weight factor, the field irrigation fertilizer demand index weight factor, the soil moisture weight, the leaf stomatal conductance weight, the crop moisture content weight and the ambient temperature weight, as well as the plant height weight, the stem diameter weight, the planting density weight and the soil pH value weight.

[0073] The third reference indicator data includes an intelligent irrigation water configuration supplement value of a unit deviation value of a field irrigation water demand index and an intelligent irrigation fertilizer configuration supplement value of a unit deviation value of a field irrigation fertilizer demand index.

[0074] The fourth reference index data includes the water output speed and fertilizer output speed of the irrigation device, the current total water demand and the current total fertilizer demand in the field, and the water output speed weight and the fertilizer output speed weight.

[0075] It should be noted that the reference data stored in the above-mentioned cloud database is collected through a large amount of field monitoring and experiments, and is obtained by integrating research results in related fields.

[0076] Based on the irrigation water impact data and irrigation water reference data, the field irrigation water demand index is obtained through analysis and processing.

[0077] The field irrigation water demand index is a numerical result of quantifying the irrigation water impact data and the current irrigation water reference data, and is used to characterize the demand degree of field crops for irrigation water.

[0078] In this embodiment, the field irrigation water demand index is used to help reasonably allocate water resources, so that limited water resources can be more effectively used in different field areas, thereby reducing agricultural production costs.

[0079] In a specific embodiment, the field irrigation water demand index is specifically formulated as follows:

[0080]

[0081] in,

[0082] Among them, A is the field irrigation water demand index, It is the first demand factor for field irrigation water. is the second demand factor for field irrigation water, a is the field soil moisture, a 0 is the field reference soil moisture, b is the field crop moisture content, b 0 is the reference moisture content of field crops, c is the stomatal conductance of field crop leaves, c 0 is the reference stomatal conductance of field crops, d is the field ambient temperature, and d 0 is the field reference ambient temperature, x 1 is the soil moisture weight, x 2 is the crop moisture content weight, x 3 is the leaf stomatal conductance weight, x 4 is the ambient temperature weight, and e is a natural constant.

[0083] It should be noted that the preset soil moisture weight, crop moisture content weight, leaf stomatal conductance weight, and ambient temperature weight all have a value range between 0 and 1. They can either directly extract the preset values ​​from the database, or construct a mapping comparison set of soil moisture, crop moisture content, leaf stomatal conductance, and ambient temperature with weights based on the relationship between the soil moisture, crop moisture content, leaf stomatal conductance, and ambient temperature in the historical configuration information and the field irrigation water demand index. In a specific embodiment, the actual soil moisture, crop moisture content, leaf stomatal conductance, and ambient temperature are input one by one into the corresponding mapping comparison set to obtain the soil moisture weight, crop moisture content weight, leaf stomatal conductance weight, and ambient temperature weight.

[0084] It should also be noted that in this embodiment, the field irrigation water demand index is obtained according to the field soil moisture, field crop moisture content, field crop leaf stomatal conductance and field ambient temperature. The mutual influence between these parameters is taken into account. For example, higher field soil moisture may cause changes in crop leaf stomatal conductance, thereby affecting crop transpiration, and changes in field crop moisture content will also affect its demand for water. At the same time, the crop water requirements corresponding to different field ambient temperatures are also different. The field irrigation water demand index obtained by comprehensively analyzing the field soil moisture, field crop leaf stomatal conductance, field crop moisture content and field ambient temperature can reflect the actual water demand of field crops during their growth process and indirectly affect the decision of field irrigation water. If the growth condition of field crops is more complicated, even if there is no obvious symptom of water shortage at present, the arrangement of irrigation water should be optimized to ensure that the growth needs of crops can be met to avoid production reduction or poor growth due to insufficient irrigation. If the irrigation water decision is unreasonable, the best time to ensure good growth of crops may be missed.

[0085] The following takes the four different groups of data involved in this embodiment as an example. When the moisture content of the four groups of field crops is 65% and the stomatal conductance of the field crop leaves is 0.6, the field reference soil moisture is defined as 45%, the field crop reference moisture content is defined as 70%, the field crop reference leaf stomatal conductance is defined as 0.7, the field reference ambient temperature is defined as 26 degrees Celsius, the soil moisture weight is defined as 0.35, the crop moisture weight is defined as 0.3, the leaf stomatal conductance weight is defined as 0.2, and the ambient temperature weight is defined as 0.15. Based on the different field soil moisture and field ambient temperature, the field irrigation water demand index obtained by processing is as follows:

[0086] Table 1 Field irrigation water demand index

[0087]

[0088] Combined with the above table, it can be seen that the irrigation water demand index of the first group of fields is at the highest value, indicating that compared with other groups, the irrigation water demand of the first group of fields is the largest. Fields with large irrigation water demand usually mean that under the same conditions, the field needs more sufficient and timely irrigation supply. It also means that the soil may have poor water retention capacity or the crop water demand is large. It is necessary to strengthen the protection of irrigation facilities and optimize irrigation plans. At the same time, more monitoring and regulation should be invested to ensure that the growth of crops is not affected by water shortage and that water resources are used reasonably and efficiently.

[0089] In this embodiment, the field irrigation fertilizer demand index is specifically obtained by the following process: obtaining the current growth cycle of the field crops, and mapping and matching it with the irrigation fertilizer reference data of the field crops in each growth cycle stored in the cloud database to obtain the current irrigation fertilizer reference data of the field crops, wherein the current irrigation fertilizer reference data of the field crops includes the reference plant height, reference stem diameter, reference planting density and reference soil pH value of the field crops.

[0090] Based on the irrigation fertilizer impact data and irrigation fertilizer reference data, the field irrigation fertilizer demand index is obtained through analysis and processing.

[0091] The field irrigation fertilizer demand index is a numerical result of quantifying the irrigation fertilizer impact data and the current irrigation fertilizer reference data, and is used to characterize the demand degree of field crops for irrigation fertilizer.

[0092] In a specific embodiment, the field irrigation fertilizer demand index is specifically formulated as follows:

[0093]

[0094] in,

[0095] Among them, B is the field irrigation fertilizer demand index, It is the first demand index of field irrigation fertilizer. is the second demand index of field irrigation water, m is the plant height of field crops, m 0 is the reference plant height of field crops, n is the stem diameter of field crops, n 0 is the reference stem diameter of field crops, p is the planting density of field crops, and p 0 is the reference planting density of field crops, q is the soil pH value, q 0 is the reference soil pH value, y 1 is the plant height weight, y 2 is the stem thickness weight, y 3 is the planting density weight, y 4 is the weighted value of soil pH, and e is a natural constant.

[0096] It should be noted that the preset plant height weight, stem diameter weight, planting density weight, and soil pH weight all have a value range between 0 and 1. They can either directly extract the preset values ​​from the database, or construct a mapping comparison set of plant height, stem diameter, planting density, and soil pH value and weights based on the relationship between the plant height, stem diameter, planting density, and soil pH value in the historical configuration information and the field irrigation fertilizer demand index. In a specific embodiment, the plant height weight, stem diameter, planting density, and soil pH value are input one by one into the corresponding mapping comparison set to obtain the plant height weight, stem diameter weight, planting density weight, and soil pH value weight.

[0097] It should also be noted that in this embodiment, the field irrigation fertilizer demand index is obtained according to the plant height, stem diameter, planting density and soil pH value of the field crops, taking into account the mutual influence between these parameters. For example, a higher plant height may mean that the crop grows vigorously, thereby increasing the demand for fertilizer, and the change in stem diameter also reflects the nutritional status of the crop, affecting the demand for fertilizer components. At the same time, different planting densities will lead to different degrees of crop competition for nutrients per unit area. The soil pH value directly affects the effectiveness of fertilizers and the absorption of nutrients by crops. The field irrigation fertilizer demand index obtained by comprehensively analyzing the plant height, stem diameter, planting density and soil pH value of field crops can reflect the actual fertilizer demand status of field crops during the growth process and indirectly affect the decision on the amount of field irrigation and fertilization. If the growth condition of field crops is relatively special, even if there is no obvious symptom of fertilizer deficiency at present, the arrangement of irrigation and fertilization should be optimized to ensure that the growth needs of crops can be met to avoid reduced yield or quality due to insufficient fertilization. If the decision on irrigation and fertilization is unreasonable, the best time to ensure good growth and harvest of crops may be missed.

[0098] In this embodiment, the field irrigation fertilizer demand index can provide farmers with clear quantitative indicators to help them accurately plan the amount of fertilizer to avoid waste and environmental pollution caused by excessive fertilization, or insufficient fertilization that affects crop growth.

[0099] See also Figure 3As shown, a scatter plot of the field irrigation fertilizer demand index involved in an embodiment of the present invention, wherein the horizontal axis is the field crop planting density, and the vertical axis is the field irrigation fertilizer demand index. The multiple scattered points in the figure are the field irrigation fertilizer demand indexes corresponding to different field crop planting densities involved in this embodiment. It can be clearly seen from the figure that with the increase of field crop planting density, the field irrigation fertilizer demand index generally shows an upward trend, which indicates that when the crop planting density is large, the number of crops per unit area increases, and the demand for fertilizer increases accordingly. However, the distribution of the scattered points does not show a strict linear relationship, but has a certain degree of discreteness, which reflects that in the actual farmland environment, in addition to the planting density factor, there are many other factors that will affect the demand for irrigation fertilizer. For example, there are differences in the absorption and utilization efficiency of fertilizers for different varieties of crops, and the fertility of the soil, the water content, and the climatic conditions will also interfere with the demand for irrigation fertilizer to a certain extent.

[0100] According to the field water and fertilizer irrigation demand index, the field water and fertilizer intelligent irrigation parameters are analyzed and processed and uploaded to the control center.

[0101] It should be understood that the control center is the core hub and command center of the entire field water and fertilizer intelligent irrigation system. It is responsible for receiving, integrating and processing data, including the field water and fertilizer irrigation demand index. The control center has strong data processing and analysis capabilities, and can quickly formulate precise control instructions and decisions based on the uploaded parameters and information. For example, when an excessively high field water and fertilizer irrigation demand index is received, the control center will immediately issue an order to increase the amount of irrigation and fertilization, and accurately adjust the operating parameters of related equipment to ensure that the farmland receives a timely and appropriate supply of water and fertilizer.

[0102] The field water and fertilizer intelligent irrigation parameters include intelligent irrigation water volume and intelligent irrigation fertilizer volume, and the specific analysis process is: extracting the field irrigation water volume demand threshold value and the field irrigation fertilizer volume demand threshold value preset in the cloud database.

[0103] It should be understood that the field irrigation water demand threshold value refers to a specific indicator value set in agricultural production for monitoring the water demand of field crops. When the irrigation water demand corresponding to the field crops exceeds or reaches the threshold value, it will be regarded as an abnormal water demand situation, which requires triggering an early warning or taking corresponding irrigation adjustment measures.

[0104] The field irrigation fertilizer demand threshold value refers to a specific indicator value set in agricultural production for monitoring the fertilizer demand of field crops. When the irrigation fertilizer demand corresponding to the field crops exceeds or reaches the threshold value, it will be regarded as an abnormal fertilizer demand situation, which requires triggering an early warning or taking corresponding fertilization adjustment measures.

[0105] The planting area corresponding to the field crops is obtained, and based on the current growth cycle of the field crops, the default execution water and fertilizer parameters of the field crops in various planting area intervals in each growth cycle stored in the cloud database are matched to obtain the default execution water and fertilizer parameters of the field crops, wherein the default execution water and fertilizer parameters include the default irrigation water volume and the default irrigation fertilizer volume.

[0106] Based on the field irrigation water demand index, field irrigation water demand threshold value and default water and fertilizer parameters, intelligent irrigation water volume is obtained through analysis and processing.

[0107] Based on the field irrigation fertilizer demand index, the field irrigation fertilizer demand threshold value and the default execution water and fertilizer parameters, the intelligent irrigation fertilizer amount is analyzed and processed.

[0108] In this embodiment, the field water and fertilizer intelligent irrigation parameters, including the intelligent irrigation water volume, are specifically processed by the following formula: Among them, C is the amount of smart irrigation water, C 0 is the default irrigation water volume, A is the field irrigation water demand index, and A 0 is the threshold value of field irrigation water demand, ω 1 The intelligent irrigation water configuration supplementary value is provided for the unit deviation value of the field irrigation water demand index in the cloud database.

[0109] It should also be noted that in this embodiment, a reasonable irrigation water configuration is obtained by processing the intelligent irrigation water volume and the field irrigation water demand index, taking into account the close correlation between the two. For example, a higher field irrigation water demand index may mean that the intelligent irrigation water volume needs to be increased to meet the crop growth needs. When the field irrigation water demand index does not exceed the threshold value, the default irrigation water volume can maintain the basic water supply. At the same time, different crop varieties and growth stages have different requirements for intelligent irrigation water. The irrigation water configuration obtained by comprehensively analyzing the intelligent irrigation water volume and the field irrigation water demand index can reflect the actual water demand status of field crops during the growth process and indirectly affect the decision of intelligent irrigation water volume. If the growth condition of field crops is relatively special, even if there is no obvious water supply problem at present, the arrangement of intelligent irrigation water volume should be optimized to ensure that the growth needs of crops can be met to avoid production reduction or poor growth due to unreasonable irrigation water volume. If the intelligent irrigation water volume decision is unreasonable, the best time to ensure good growth of crops may be missed.

[0110] The specific processing formula of the intelligent irrigation fertilizer amount is as follows:

[0111] Among them, D is the amount of intelligent irrigation fertilizer, D 0 is the default irrigation fertilizer amount, B is the field irrigation fertilizer demand index, and B 0is the threshold value of fertilizer demand for field irrigation, ω 2 The intelligent irrigation fertilizer configuration supplements the value of the unit deviation value of the field irrigation fertilizer requirement index in the cloud database.

[0112] It should also be noted that in this embodiment, the intelligent irrigation fertilizer amount is determined by comparing the field irrigation fertilizer demand index with the field irrigation fertilizer demand threshold value, taking into account different field irrigation fertilizer demand conditions. At the same time, different soil conditions, crop varieties and growth stages also have different fertilizer requirements. The intelligent irrigation fertilizer amount determined by comprehensively considering these factors can reflect the actual fertilizer demand conditions of field crops during the growth process and indirectly affect the decision-making of intelligent irrigation fertilization. If the growth conditions of field crops are relatively special, even if the current field irrigation fertilizer demand index does not exceed the threshold value, the arrangement of intelligent irrigation fertilizer should be optimized according to the actual situation to ensure that the growth needs of crops can be met and avoid production reduction or poor growth due to insufficient fertilizer supply.

[0113] The control center performs water and fertilizer intelligent irrigation control based on field water and fertilizer intelligent irrigation parameters.

[0114] The control center performs water and fertilizer intelligent irrigation control according to the field water and fertilizer intelligent irrigation parameters. The specific process is as follows: based on the field water and fertilizer irrigation demand index, it is compared with the preset field water and fertilizer irrigation demand index threshold. If the field water and fertilizer irrigation demand index is lower than or equal to the field water and fertilizer irrigation demand index threshold, it is determined that the field water and fertilizer control is not executed. If the field water and fertilizer irrigation demand index is higher than the field water and fertilizer irrigation demand index threshold, the field water and fertilizer intelligent irrigation parameters are analyzed and it is determined to execute water and fertilizer intelligent irrigation control, thereby controlling the field water and fertilizer intelligent irrigation device to perform intelligent irrigation according to the field water and fertilizer intelligent irrigation parameters.

[0115] It should be understood that the field water and fertilizer irrigation demand index threshold refers to a specific indicator value set during the agricultural production process to monitor the water and fertilizer conditions of farmland. When the field water and fertilizer irrigation demand index corresponding to the farmland exceeds or reaches the threshold, it will be considered that irrigation and fertilization are required, and irrigation and fertilization operations need to be triggered or corresponding adjustment measures need to be taken.

[0116] In this embodiment, the field water and fertilizer intelligent irrigation device includes a sensor system, an irrigation system and a valve, and the irrigation system includes a sprinkler, a drip irrigation pipe and a sprinkler belt.

[0117] In this implementation, by executing intelligent water and fertilizer irrigation control according to the field water and fertilizer intelligent irrigation parameters, the accurate implementation of irrigation measures is ensured, the timeliness and accuracy of irrigation operations are effectively improved, and the water and fertilizer management efficiency of farmland and the growth quality of crops are significantly improved.

[0118] The field water and fertilizer intelligent irrigation control method based on the Internet of Things also includes monitoring the water and fertilizer irrigation control process. The specific process is: monitoring the water and fertilizer irrigation control process to obtain the execution parameters of the field water and fertilizer intelligent irrigation device and the current total field water demand and total fertilizer demand, and the execution parameters include the water output speed and fertilizer output speed of the field water and fertilizer intelligent irrigation device.

[0119] Based on the execution parameters of the water and fertilizer irrigation control device, the control indicator coefficient of the field water and fertilizer intelligent irrigation device is processed and compared with the preset control indicator trigger value of the field water and fertilizer intelligent irrigation device. If the control indicator coefficient of the field water and fertilizer intelligent irrigation device is greater than or equal to the control indicator trigger value of the field water and fertilizer intelligent irrigation device, an early warning message is generated, uploaded to the control center and an irrigation early warning is triggered.

[0120] In a specific embodiment, the control indicator coefficient of the field water and fertilizer intelligent irrigation device is specifically formulated as follows: Among them, E is the control index coefficient of the field water and fertilizer intelligent irrigation device, α is the water output speed of the irrigation device, and α 0 is the total water demand of the current field, β is the fertilizer output speed of the irrigation device, and β 0 is the total fertilizer requirement of the current field, θ 1 is the water outlet velocity weight, θ 2 is the fertilizer output speed weight, t is the time for executing intelligent irrigation, and e is a natural constant.

[0121] It should be noted that the preset water output speed weight and fertilizer output speed weight have a value range between 0 and 1. The preset value can be directly extracted from the database, or a mapping comparison set of water output speed, fertilizer output speed and weight can be constructed based on the relationship between the water output speed and fertilizer output speed in the historical configuration information and the control indicator coefficient of the field water and fertilizer intelligent irrigation device. In a specific embodiment, the water output speed weight and fertilizer output speed weight are obtained by inputting the actual water output speed and fertilizer output speed into the corresponding mapping comparison set one by one.

[0122] It should also be noted that in this embodiment, the field water and fertilizer intelligent irrigation device control indicator coefficient is obtained according to the water outlet speed and fertilizer outlet speed of the irrigation device, taking into account the interaction between these parameters. For example, a higher water outlet speed may mean that the current irrigation water volume is large, and the total water demand needs to be comprehensively considered to avoid over-irrigation. The change in fertilizer outlet speed also reflects the intensity of fertilization and affects the supply balance of fertilizers. At the same time, different execution times of intelligent irrigation will lead to different absorption and utilization of water and fertilizer by crops at different stages. The field water and fertilizer intelligent irrigation device control indicator coefficient obtained by comprehensively analyzing the water outlet speed, fertilizer outlet speed, and execution time of intelligent irrigation of the irrigation device can reflect the actual water and fertilizer conditions of the field during the irrigation process, and indirectly affect the decision of field water and fertilizer intelligent irrigation. If the water and fertilizer conditions in the field are more complicated, even if there are no obvious symptoms of improper irrigation at present, the arrangement of irrigation parameters should be optimized to ensure that the growth needs of crops can be met to avoid poor growth or waste of resources due to unreasonable irrigation parameters. If the decision of field water and fertilizer intelligent irrigation is unreasonable, the best time to ensure good growth and high yield of crops may be missed.

[0123] Taking this embodiment as an example, the warning information is specifically: the control indicator coefficient of the current field water and fertilizer intelligent irrigation device has reached or exceeded the preset trigger value, and immediate attention should be paid and corresponding irrigation adjustment measures should be taken. There may be insufficient or unbalanced water and fertilizer supply in the field, which may affect crop growth. Please deal with it in time to ensure the normal progress of agricultural production.

[0124] In this embodiment, by monitoring the water and fertilizer irrigation control process, execution parameters such as water output speed and fertilizer output speed are obtained, and the control indicator coefficient is further processed and compared with the preset trigger value, possible problems can be discovered in time. Once the trigger value is reached or exceeded, early warning information is generated and uploaded to trigger irrigation early warning, which helps to achieve precise irrigation and fertilization, avoid the adverse effects of insufficient or unbalanced water and fertilizer supply on crop growth, improve resource utilization efficiency, ensure stable and high-yield agricultural production, and at the same time reduce the cost and error rate of manual monitoring, and promote the development of agriculture towards intelligence, efficiency and sustainability.

[0125] See also Figure 2 As shown, the second aspect of an embodiment of the present invention provides a field water and fertilizer intelligent irrigation control system based on the Internet of Things, including a field data collection module, which is used to collect irrigation water volume impact data and irrigation fertilizer volume impact data through a sensor device connected to the Internet of Things, and mark them as a field water and fertilizer irrigation data set.

[0126] The field water and fertilizer demand analysis module is used to analyze and process the collected field water and fertilizer irrigation data set to obtain the field water and fertilizer irrigation demand index.

[0127] The field water and fertilizer irrigation system control module is used to analyze and process the field water and fertilizer intelligent irrigation parameters according to the field water and fertilizer irrigation demand index, and upload them to the control center.

[0128] The field water and fertilizer intelligent irrigation execution module is used for the control center to execute water and fertilizer intelligent irrigation control according to the field water and fertilizer intelligent irrigation parameters.

[0129] In this embodiment, by providing an IoT-based field water and fertilizer intelligent irrigation control method and system, accurate analysis is performed on the needs of crops and corresponding irrigation control is executed, thereby improving the irrigation management level of farmland, further improving the water and fertilizer utilization efficiency, and ensuring the stability of the crop growth environment.

[0130] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0131] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. The field water and fertilizer intelligent irrigation control method based on the Internet of Things is characterized by: The following steps are involved: S1, collects irrigation water impact data and irrigation fertilizer impact data through IoT-connected sensor devices, and uniformly marks them as field water and fertilizer irrigation data sets; S2, based on the collected field water and fertilizer irrigation data set, analyze and process to obtain the field water and fertilizer irrigation demand index; S3, according to the field water and fertilizer irrigation demand index, analyze and process the field water and fertilizer intelligent irrigation parameters, and upload them to the control center; S4, the control center performs water and fertilizer intelligent irrigation control according to the field water and fertilizer intelligent irrigation parameters; The field water and fertilizer intelligent irrigation parameters include intelligent irrigation water volume and intelligent irrigation fertilizer volume. The specific analysis process is as follows: Extract the field irrigation water demand threshold value and field irrigation fertilizer demand threshold value preset in the cloud database; Obtain the planting area corresponding to the field crops, and based on the current growth cycle of the field crops, match the default water and fertilizer parameters of the field crops in various planting area intervals in each growth cycle stored in the cloud database to obtain the default water and fertilizer parameters of the field crops, wherein the default water and fertilizer parameters include a default irrigation water volume and a default irrigation fertilizer volume; Based on the field irrigation water demand index, field irrigation water demand threshold value and default water and fertilizer parameters, intelligent irrigation water volume is obtained through analysis and processing; Based on the field irrigation fertilizer demand index, field irrigation fertilizer demand threshold value and default water and fertilizer parameters, intelligent irrigation fertilizer is obtained through analysis and processing; The field water and fertilizer intelligent irrigation parameters, including the intelligent irrigation water volume, are specifically processed as follows: ， in, For intelligent irrigation water volume, is the default irrigation water volume, is the field irrigation water demand index, is the threshold value of field irrigation water demand, Adding value to intelligent irrigation water configuration for unit deviation value of field irrigation water demand index in cloud database; The specific processing formula of the intelligent irrigation fertilizer amount is as follows: ， in, For intelligent irrigation fertilizer dosage, is the default irrigation fertilizer amount, is the field irrigation fertilizer demand index, is the threshold value of fertilizer demand for field irrigation, The intelligent irrigation fertilizer configuration supplements the value of the unit deviation value of the field irrigation fertilizer requirement index in the cloud database.

2. The field water and fertilizer intelligent irrigation control method based on the Internet of Things according to claim 1 is characterized in that: The irrigation water volume impact data include field soil moisture, field crop moisture content, field crop leaf stomatal conductance and field ambient temperature; The data on the impact of irrigation fertilizer amount include the average plant height, average stem diameter, planting density and field soil pH value of field crops.

3. The field water and fertilizer intelligent irrigation control method based on the Internet of Things according to claim 1 is characterized by: The analysis and processing obtains the field water and fertilizer irrigation demand index, and the specific process is as follows: The field irrigation water demand index is obtained based on the analysis and processing of irrigation water impact data; Based on the analysis and processing of the data on the impact of irrigation fertilizer, the field irrigation fertilizer demand index is obtained; According to the field irrigation water demand index and field irrigation fertilizer demand index, the field water and fertilizer irrigation demand index is obtained through comprehensive analysis; The field water and fertilizer irrigation demand index is a numerical result of quantifying the field irrigation water demand index and the field irrigation fertilizer demand index, and is used to characterize the demand degree of field crops for water and fertilizer irrigation.

4. The field water and fertilizer intelligent irrigation control method based on the Internet of Things according to claim 3 is characterized by: The specific analysis and processing process of the field irrigation water demand index is as follows: Acquire the current growth cycle of the field crops, and map and match it with the irrigation water reference data of the field crops in each growth cycle stored in the cloud database to obtain the current irrigation water reference data of the field crops, wherein the current irrigation water reference data of the field crops includes field reference soil moisture, field crop reference moisture content, field crop reference leaf stomatal conductance, and field reference ambient temperature; According to the irrigation water impact data and irrigation water reference data, the field irrigation water demand index is obtained through analysis and processing; The field irrigation water demand index is a numerical result of quantifying the irrigation water impact data and the current irrigation water reference data, and is used to characterize the demand degree of field crops for irrigation water.

5. The field water and fertilizer intelligent irrigation control method based on the Internet of Things according to claim 3 is characterized by: The specific analysis and processing process of the field irrigation fertilizer demand index is as follows: Obtaining the current growth cycle of the field crops, and mapping and matching with the irrigation fertilizer amount reference data of the field crops in each growth cycle stored in the cloud database, to obtain the current irrigation fertilizer amount reference data of the field crops, wherein the current irrigation fertilizer amount reference data of the field crops includes the reference plant height, reference stem diameter, reference planting density and reference soil pH value of the field crops; According to the irrigation fertilizer amount impact data and irrigation fertilizer amount reference data, the field irrigation fertilizer amount demand index is obtained through analysis and processing; The field irrigation fertilizer demand index is a numerical result of quantifying the irrigation fertilizer impact data and the current irrigation fertilizer reference data, and is used to characterize the demand degree of field crops for irrigation fertilizer.

6. The field water and fertilizer intelligent irrigation control method based on the Internet of Things according to claim 1 is characterized by: The control center performs water and fertilizer intelligent irrigation control according to the field water and fertilizer intelligent irrigation parameters. The specific process is as follows: Based on the field water and fertilizer irrigation demand index, it is compared with the preset field water and fertilizer irrigation demand index threshold. If the field water and fertilizer irrigation demand index is lower than or equal to the field water and fertilizer irrigation demand index threshold, it is determined that field water and fertilizer control will not be executed. If the field water and fertilizer irrigation demand index is higher than the field water and fertilizer irrigation demand index threshold, the field water and fertilizer intelligent irrigation parameters are analyzed and it is determined to execute water and fertilizer intelligent irrigation control, thereby controlling the field water and fertilizer intelligent irrigation device to perform intelligent irrigation according to the field water and fertilizer intelligent irrigation parameters.

7. The field water and fertilizer intelligent irrigation control method based on the Internet of Things according to claim 1 is characterized by: It also includes monitoring of the water and fertilizer irrigation control process, the specific process is: The water and fertilizer irrigation control process is monitored to obtain execution parameters of the field water and fertilizer intelligent irrigation device, wherein the execution parameters include the water output speed and fertilizer output speed of the field water and fertilizer intelligent irrigation device; Based on the execution parameters of the water and fertilizer irrigation control device, the control indicator coefficient of the field water and fertilizer intelligent irrigation device is processed and compared with the preset control indicator trigger value of the field water and fertilizer intelligent irrigation device. If the control indicator coefficient of the field water and fertilizer intelligent irrigation device is greater than or equal to the control indicator trigger value of the field water and fertilizer intelligent irrigation device, an early warning message is generated, uploaded to the control center and an irrigation early warning is triggered.

8. A system using the field water and fertilizer intelligent irrigation control method based on the Internet of Things as described in any one of claims 1 to 7, characterized in that: include: The field data collection module is used to collect the irrigation water volume impact data and the irrigation fertilizer volume impact data through the sensor devices connected to the Internet of Things, and uniformly mark them as field water and fertilizer irrigation data sets; The field water and fertilizer demand analysis module is used to analyze and process the collected field water and fertilizer irrigation data set to obtain the field water and fertilizer irrigation demand index; The field water and fertilizer irrigation system control module is used to analyze and process the field water and fertilizer intelligent irrigation parameters according to the field water and fertilizer irrigation demand index, and upload them to the control center; The field water and fertilizer intelligent irrigation execution module is used for the control center to execute water and fertilizer intelligent irrigation control according to the field water and fertilizer intelligent irrigation parameters.

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