Method and system for water and fertilizer regulation in saline-alkali soil

Abstract

The application relates to a saline-alkali soil water and fertilizer regulation method and system, which comprises the following steps: obtaining a to-be-monitored saline-alkali soil selected by a saline-alkali soil water and fertilizer regulation subject from a saline-alkali soil water and fertilizer regulation interface and marking a monitoring area of the to-be-monitored saline-alkali soil on site; starting a basic detection Internet of Things sensor, obtaining basic data of the saline-alkali soil, and generating a first water and fertilizer regulation instruction; obtaining image and peripheral saline-alkali soil parameter data related to the saline-alkali soil, and generating a second water and fertilizer regulation instruction according to the image and the peripheral saline-alkali soil parameter data; generating a current water and fertilizer regulation instruction according to the first water and fertilizer regulation instruction and the second water and fertilizer regulation instruction, and regulating water and fertilizer of the to-be-monitored saline-alkali soil according to the water and fertilizer regulation instruction. On the basis of the sensor of the Internet of Things, the water and fertilizer of the to-be-monitored saline-alkali soil is comprehensively regulated from multiple directions, and the water and fertilizer regulation accuracy and reliability of the saline-alkali soil are improved.

Description

Technical Field

[0001] This application relates to the field of saline-alkali land control technology, and in particular to a method and system for water and fertilizer regulation in saline-alkali land. Background Technology

[0002] Saline-alkali land is a type of salt accumulation, referring to soil where the salt content affects the normal growth of crops. The formation of alkaline soil and alkalized soil is mostly related to the accumulation of carbonates in the soil, resulting in generally high alkalinity. In severely saline-alkali soil areas, plants can hardly survive.

[0003] Saline-alkali land is actually a valuable land resource. Planting trees adapted to saline-alkali soil can improve the soil and increase farmers' income. Currently, more and more emerging technologies are being applied to the collection and processing of financial data. For example, the invention patent with publication number CN109214579A discloses a method and system for predicting the stability of saline-alkali land based on a backpropagation (BP) neural network. The method involves: obtaining parameters for saline-alkali land stability analysis; preprocessing the parameters; normalizing the preprocessed data; calculating the values ​​of environmental, geographical, and climatic factors affecting evaporation capacity; weighting and summing the three factors to obtain the evaporation capacity value of the saline-alkali land; building a BP neural network structure; using the known evaporation capacity values ​​of the previous four years as the input values ​​of the BP neural network and the known evaporation capacity value of the fifth year as the output value of the BP neural network to train the BP neural network; obtaining a trained BP neural network; and inputting the evaporation capacity values ​​of the previous four years for the year to be predicted into the trained BP neural network to output the evaporation capacity value of the saline-alkali land for the year to be predicted.

[0004] Although the technical solutions in the aforementioned patent documents can predict the stability of saline-alkali land, they still have the problem that nearby saline-alkali land can easily affect saline-alkali land that requires water and fertilizer regulation, thus leading to unreliable water and fertilizer regulation. Summary of the Invention

[0005] Therefore, it is necessary to provide a method and system for water and fertilizer regulation in saline-alkali land that can improve the accuracy and reliability of water and fertilizer regulation in saline-alkali land, in order to address the above-mentioned technical problems.

[0006] The technical solution of this invention is as follows:

[0007] A method for regulating water and fertilizer in saline-alkali land, the method comprising:

[0008] The process involves: acquiring the selected saline-alkali land to be monitored from the water and fertilizer management area displayed in the interface; marking the monitoring area of ​​the selected saline-alkali land in the field; activating the basic detection IoT sensors within the selected saline-alkali land and acquiring basic data of the saline-alkali land detected by the basic detection IoT sensors; generating a first water and fertilizer management instruction based on the basic data of the saline-alkali land; acquiring images of the associated saline-alkali lands and parameter data of the surrounding saline-alkali lands; generating a second water and fertilizer management instruction based on the images of the associated saline-alkali lands and the parameter data of the surrounding saline-alkali lands; generating a current water and fertilizer management instruction based on the first and second water and fertilizer management instructions; and performing water and fertilizer management on the selected saline-alkali land according to the water and fertilizer management instructions.

[0009] Specifically, the basic detection IoT sensors include a soil pH sensor and an aeration sensor, and the basic data of the saline-alkali land includes soil pH and soil aeration value; the process involves activating the basic detection IoT sensors within the saline-alkali land to be monitored, acquiring the basic data of the saline-alkali land detected by the basic detection IoT sensors, and generating a first water and fertilizer regulation instruction based on the basic data of the saline-alkali land; specifically including:

[0010] The soil pH sensor in the saline-alkali land to be monitored is activated and controlled to perform detection, and the soil acidity and alkalinity are obtained after the detection is completed; the air permeability detection sensor in the saline-alkali land to be monitored is activated and air permeability is detected based on the air permeability detection sensor, and the soil air permeability value is generated after the detection is completed; a first water and fertilizer regulation instruction is generated based on the soil acidity and alkalinity and the soil air permeability value.

[0011] Specifically, the second water and fertilizer regulation indicator includes an acid-base influence indicator and a parameter adjustment indicator; the step of acquiring the associated saline-alkali land images and peripheral saline-alkali land parameter data of the monitored saline-alkali land, and generating the second water and fertilizer regulation indicator based on the associated saline-alkali land images and peripheral saline-alkali land parameter data, specifically includes:

[0012] The process involves acquiring images of associated saline-alkali lands affecting the saline-alkali land to be monitored, and obtaining images of flowing water sources within the associated saline-alkali lands based on these images. It also involves generating an estimated inflow rate from the associated saline-alkali lands to the saline-alkali land under monitoring based on the flowing water source images; generating an estimated pH reduction value based on the estimated inflow rate; and generating a pH impact indicator based on the estimated pH reduction value. Finally, it involves acquiring parameter data of the surrounding saline-alkali lands of the associated saline-alkali lands and generating a parameter adjustment indicator based on the surrounding saline-alkali land parameter data.

[0013] Specifically, the acquisition of saline-alkali land water and fertilizer regulation involves selecting the saline-alkali land to be monitored from the water and fertilizer regulation area displayed in the saline-alkali land water and fertilizer regulation interface, and marking the monitoring area of ​​the saline-alkali land to be monitored in the field; specifically including:

[0014] The system acquires control trigger commands from the water and fertilizer management subject for saline-alkali land, and when the control trigger command matches the standard trigger command, displays the water and fertilizer management interface to the subject. It also acquires an image of the subject's hand facing the interface, sets the hand opening amplitude based on the image, and generates a basic delineated area. The system displays this basic delineated area at the center of the interface and sets it to a shadow effect. It acquires dynamic hand data and generates hand adjustment values ​​based on the hand adjustment image. The system adjusts the basic delineated area based on these values ​​and generates a saline-alkali land to be monitored. Finally, it sends this saline-alkali land to a region marking robot, which then marks the monitoring area in the field.

[0015] Specifically, the step of acquiring the palm dynamic data of the hand of the water and fertilizer regulation subject in the saline-alkali land, and generating palm adjustment values ​​based on the palm adjustment image, specifically includes:

[0016] The process involves acquiring dynamic hand data of the water and fertilizer regulation subject in saline-alkali land, dividing the dynamic hand data into pre-stored basic time units, and generating hand adjustment actions, with one basic time unit corresponding to one hand adjustment action; generating a dynamic adjustment interface based on each hand adjustment action and displaying the dynamic adjustment interface; acquiring the initial and final hand adjustment actions in each hand adjustment action, and generating hand change data based on the initial and final hand adjustment actions; and generating a hand adjustment value based on the hand change data.

[0017] Specifically, the step of setting the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject based on the palm display image, and generating a basic delineated area based on the palm opening amplitude value, specifically includes:

[0018] A pre-stored palm database is obtained based on the palm display image, wherein the palm database stores multiple standard palm display images, each with a different palm opening amplitude, and each standard palm display image corresponds to a standard opening amplitude value; the palm display image is compared with each of the standard palm display images, and the standard palm display image that matches the palm display image is recorded as the target palm image; the standard opening amplitude value corresponding to the target palm image is set as the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject; a basic delineation area is generated based on the palm opening amplitude value.

[0019] Specifically, a water and fertilizer regulation system for saline-alkali land, the system comprising:

[0020] The regional monitoring setting module is used to obtain the saline-alkali land to be monitored selected by the main body of water and fertilizer regulation of saline-alkali land from the water and fertilizer regulation area of ​​saline-alkali land displayed in the water and fertilizer regulation interface of saline-alkali land, and to mark the monitoring area of ​​the saline-alkali land to be monitored in the field.

[0021] The basic data detection module is used to activate the basic detection IoT sensor in the saline-alkali land to be monitored, acquire the basic data of the saline-alkali land detected by the basic detection IoT sensor, and generate a first water and fertilizer regulation instruction based on the basic data of the saline-alkali land.

[0022] The first water and fertilizer regulation module is used to acquire the images of the associated saline-alkali lands and the parameter data of the surrounding saline-alkali lands of the saline-alkali land to be monitored, and to generate a second water and fertilizer regulation instruction based on the images of the associated saline-alkali lands and the parameter data of the surrounding saline-alkali lands.

[0023] The overall water and fertilizer regulation module is used to generate a current water and fertilizer regulation instruction based on the first water and fertilizer regulation instruction and the second water and fertilizer regulation instruction, and to regulate the water and fertilizer of the saline-alkali land to be monitored according to the water and fertilizer regulation instruction.

[0024] Specifically, the basic detection IoT sensors include a soil pH sensor and an aeration sensor, and the basic data of the saline-alkali land includes soil acidity / alkalinity and soil aeration value; the basic data detection module is also used for:

[0025] The soil pH sensor in the saline-alkali land to be monitored is activated and controlled to perform detection, and the soil acidity and alkalinity are obtained after the detection is completed; the air permeability detection sensor in the saline-alkali land to be monitored is activated and air permeability is detected based on the air permeability detection sensor, and the soil air permeability value is generated after the detection is completed; a first water and fertilizer regulation instruction is generated based on the soil acidity and alkalinity and the soil air permeability value.

[0026] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps described in the above-described method for regulating water and fertilizer in saline-alkali land.

[0027] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps described in the above-described method for regulating water and fertilizer in saline-alkali land.

[0028] The technical effects achieved by this invention are as follows:

[0029] The aforementioned method and system for water and fertilizer regulation in saline-alkali land sequentially involves: acquiring the selected saline-alkali land to be monitored from the water and fertilizer regulation area displayed on the interface of the saline-alkali land water and fertilizer regulation subject; marking the monitoring area of ​​the saline-alkali land to be monitored in the field; activating the basic detection IoT sensors within the saline-alkali land to be monitored and acquiring basic data of the saline-alkali land detected by the basic detection IoT sensors; generating a first water and fertilizer regulation instruction based on the basic data of the saline-alkali land; acquiring the images of the associated saline-alkali lands and the parameter data of the surrounding saline-alkali lands of the saline-alkali land to be monitored; and generating a first water and fertilizer regulation instruction based on the images of the associated saline-alkali lands and the parameter data of the surrounding saline-alkali lands. A second water and fertilizer regulation instruction is generated; based on the first and second water and fertilizer regulation instructions, a current water and fertilizer regulation instruction is generated, and water and fertilizer regulation is performed on the saline-alkali land to be monitored according to the water and fertilizer regulation instruction. To ensure the randomness and flexibility of water and fertilizer control by the water and fertilizer regulation subject, the water and fertilizer regulation subject first selects the saline-alkali land. Specifically, the water and fertilizer regulation subject first obtains the saline-alkali land to be monitored selected from the water and fertilizer regulation area displayed in the water and fertilizer regulation interface, and then marks the monitoring area of ​​the saline-alkali land to be monitored in the field. Through the step of setting the monitoring area in the field, the monitoring of the saline-alkali land is realized. The process involves marking the saline-alkali land to be monitored to prevent other personnel from damaging or fertilizing it, thereby affecting the water and fertilizer regulation effect. Then, on the one hand, basic detection of the area where the saline-alkali land to be monitored is achieved. Specifically, this involves activating basic detection IoT sensors within the saline-alkali land to be monitored and acquiring basic data of the saline-alkali land detected by these sensors. A first water and fertilizer regulation instruction is generated based on this basic data. On the other hand, the influence of related saline-alkali lands on the saline-alkali land to be monitored is considered. This is achieved by acquiring images of the related saline-alkali lands and parameter data of the surrounding saline-alkali lands, and then... A second water and fertilizer regulation instruction is generated based on the associated images of saline-alkali land and the parameter data of surrounding saline-alkali land. Finally, a current water and fertilizer regulation instruction is generated based on the first and second water and fertilizer regulation instructions, and water and fertilizer regulation is performed on the saline-alkali land to be monitored according to the water and fertilizer regulation instructions. That is, the first and second water and fertilizer regulation instructions are summarized, and not only the basic parameters of the saline-alkali land to be monitored are considered, but also the adjacent saline-alkali land. The factors considered are summarized, thereby realizing multi-faceted comprehensive regulation of water and fertilizer in the saline-alkali land to be monitored, improving the accuracy and reliability of water and fertilizer regulation in saline-alkali land. Attached Figure Description

[0030] Figure 1 This is a flowchart illustrating a water and fertilizer regulation method for saline-alkali land in one embodiment;

[0031] Figure 2This is a structural block diagram of a water and fertilizer regulation system for saline-alkali land in one embodiment;

[0032] Figure 3 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0034] In one embodiment, a terminal is provided, the terminal being configured to: acquire a selected saline-alkali land to be monitored from the saline-alkali land water and fertilizer regulation area displayed in the saline-alkali land water and fertilizer regulation interface, and mark the monitoring area of ​​the saline-alkali land to be monitored in the field; activate the basic detection IoT sensor in the saline-alkali land to be monitored, and acquire the basic data of the saline-alkali land detected by the basic detection IoT sensor, and generate a first water and fertilizer regulation instruction based on the basic data of the saline-alkali land; acquire the related influence saline-alkali land image and peripheral saline-alkali land parameter data of the related saline-alkali land to be monitored, and generate a second water and fertilizer regulation instruction based on the related influence saline-alkali land image and peripheral saline-alkali land parameter data; generate a current water and fertilizer regulation instruction based on the first water and fertilizer regulation instruction and the second water and fertilizer regulation instruction, and perform water and fertilizer regulation on the saline-alkali land to be monitored according to the water and fertilizer regulation instruction.

[0035] The terminal may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices.

[0036] In one embodiment, such as Figure 1 As shown, a method for regulating water and fertilizer in saline-alkali land is provided, the method comprising:

[0037] Step S100: Obtain the saline-alkali land to be monitored from the saline-alkali land water and fertilizer regulation area displayed in the saline-alkali land water and fertilizer regulation interface, and mark the monitoring area of ​​the saline-alkali land to be monitored in the field.

[0038] Step S200: Activate the basic detection IoT sensor in the saline-alkali land to be monitored, and acquire the basic data of the saline-alkali land detected by the basic detection IoT sensor, and generate the first water and fertilizer regulation instruction based on the basic data of the saline-alkali land.

[0039] Step S300: Obtain the image of the associated saline-alkali land and the parameter data of the surrounding saline-alkali land of the saline-alkali land to be monitored, and generate a second water and fertilizer regulation instruction based on the image of the associated saline-alkali land and the parameter data of the surrounding saline-alkali land.

[0040] Step S400: Generate a current water and fertilizer regulation instruction based on the first water and fertilizer regulation instruction and the second water and fertilizer regulation instruction, and regulate the water and fertilizer of the saline-alkali land to be monitored according to the water and fertilizer regulation instruction.

[0041] In this embodiment, to ensure the randomness and flexibility of water and fertilizer control by the water and fertilizer regulation subject in saline-alkali land, the subject first selects the saline-alkali land. Specifically, the subject first obtains the selected saline-alkali land to be monitored from the water and fertilizer regulation area displayed in the water and fertilizer regulation interface, and marks the monitoring area of ​​the saline-alkali land to be monitored in the field. By setting the monitoring area in the field, the subject marks the saline-alkali land to be monitored, preventing other staff from damaging or fertilizing the saline-alkali land to be monitored, thereby affecting the water and fertilizer regulation effect. Next, basic detection of the area where the saline-alkali land to be monitored is carried out. Specifically, the basic detection IoT sensor in the saline-alkali land to be monitored is activated, and basic data of the saline-alkali land detected by the basic detection IoT sensor is obtained. A first [data] is generated based on the basic data of the saline-alkali land. On the other hand, the water and fertilizer regulation instructions consider the impact of related saline-alkali land on the saline-alkali land to be monitored. This is achieved by acquiring images of the related saline-alkali lands and parameter data of the surrounding saline-alkali lands, and generating a second water and fertilizer regulation instruction based on these images and parameter data. Finally, a current water and fertilizer regulation instruction is generated based on the first and second water and fertilizer regulation instructions, and water and fertilizer regulation is applied to the saline-alkali land to be monitored according to these instructions. In other words, the first and second water and fertilizer regulation instructions are combined, considering not only the basic parameters of the saline-alkali land to be monitored but also the adjacent saline-alkali lands, and summarizing the considered factors. This achieves comprehensive multi-faceted regulation of water and fertilizer in the saline-alkali land to be monitored, improving the accuracy and reliability of water and fertilizer regulation in saline-alkali land.

[0042] The basic detection IoT sensor described in this invention is an IoT-based detection sensor. Compared with ordinary sensors in the prior art, it is a remote control sensor equipped with an IoT module.

[0043] In one embodiment, the basic detection IoT sensor includes a soil pH sensor and an aeration detection sensor, and the basic data of the saline-alkali land includes soil pH and soil aeration value; Step S200: Activate the basic detection IoT sensor in the saline-alkali land to be monitored, acquire the basic data of the saline-alkali land detected by the basic detection IoT sensor, and generate a first water and fertilizer regulation instruction based on the basic data of the saline-alkali land; specifically including:

[0044] Step S210: Activate the soil pH sensor in the saline-alkali land to be monitored, control the soil pH sensor to perform detection, and obtain the soil pH after the detection is completed;

[0045] Step S220: Activate the air permeability detection sensor in the saline-alkali land to be monitored, perform air permeability detection based on the air permeability detection sensor, and generate soil air permeability value after the detection is completed;

[0046] Step S230: Generate a first water and fertilizer regulation indicator based on the soil pH and the soil aeration value.

[0047] In this embodiment, in order to ensure basic detection of saline-alkali land, a soil pH sensor and an aeration sensor are respectively set up to detect the soil acidity and alkalinity and the soil aeration value. Then, the soil acidity and alkalinity and the soil aeration value are compared with a pre-stored database of plant growth salinity and alkalinity parameters, and it is determined whether the soil acidity and alkalinity and the soil aeration value are abnormal. If they are abnormal, adjustment measures are generated according to the abnormality, that is, the first water and fertilizer regulation instruction is generated.

[0048] The soil pH sensor and the aeration sensor are both sensors with Internet of Things (IoT) communication capabilities, which makes it easier to upload data and exchange information.

[0049] In one embodiment, step S220: activating the air permeability detection sensor in the saline-alkali land to be monitored, performing air permeability detection based on the air permeability detection sensor, and generating soil air permeability value after the detection is completed; specifically including:

[0050] Step S221: Activate the air permeability detection sensor in the saline-alkali land to be monitored, and obtain the initial measured humidity detected by each air permeability detection sensor. At the same time, control the area marking robot to start. The area marking robot is pre-set. The air permeability detection sensor is a humidity detection sensor. The humidity detection sensor is pre-buried in the saline-alkali land to be monitored. There are multiple humidity detection sensors, and each humidity detection sensor is buried at the same depth.

[0051] Step S222: Obtain the actual saline-alkali land area to be monitored, and set the actual number of humidity detection sensors to be used based on the actual saline-alkali land area;

[0052] Step S223: Select the actual number of humidity detection sensors in the saline-alkali land to be monitored, and obtain the sensor location of the selected humidity detection sensors;

[0053] Step S224: Control the area marking robot to position itself towards the sensor and spray detection liquid accordingly;

[0054] Step S225: After a pre-stored time interval, obtain the actual measured humidity detected by each of the selected humidity detection sensors;

[0055] Step S226: Generate the current humidity difference value based on the initial measured humidity and the corresponding actual measured humidity;

[0056] Step S227: Generate soil permeability value based on the current humidity difference value.

[0057] In this embodiment, soil permeability is characterized by generating soil permeability data, and permeability is detected using humidity sensors. Under normal use, the permeability sensors only detect humidity. When soil permeability needs to be measured, the permeability sensors within the saline-alkali land are activated, and the initial humidity readings from each sensor are obtained. Multiple humidity sensors are pre-set, each buried at the same depth in the saline-alkali land for accurate measurement. To ensure the sprayed detection liquid does not significantly affect the saline-alkali land, different numbers are pre-set based on the area of ​​the land. The detection liquid is water. Therefore, it is necessary to first obtain the actual saline-alkali land area and then... The actual number of humidity sensors to be used is determined by the area of ​​the saline-alkali land. Then, the actual number of humidity sensors to be used are selected within the saline-alkali land to be monitored, and the sensor location of the selected humidity sensors is obtained. Next, after a pre-stored time interval, the actual measured humidity detected by each of the selected humidity sensors is obtained. Then, a current humidity difference value is generated based on the initial measured humidity and the corresponding actual measured humidity. Finally, the current humidity difference value is compared with the pre-stored standard difference value, and a standard difference value matching the current humidity difference value is obtained. Each standard difference value corresponds to a soil permeability value in advance. The actual measured humidity corresponding to each selected humidity sensor corresponds to an initial measured humidity. Therefore, there are a total of the actual number of standard difference values. The average value of the actual number of standard difference values ​​is then calculated to finally generate the soil permeability value. Furthermore, by utilizing the principle that water diffuses quickly when the soil is highly permeable, the humidity detected by the humidity sensor after the pre-stored time interval is compared with the initially detected humidity, and then compared with the standard difference value obtained from the pre-experiment, thereby generating a soil permeability value that characterizes the current soil permeability. This achieves the dual function of the humidity sensor as an instrument, reduces production costs, and enables efficient detection and control of saline-alkali land.

[0058] In one embodiment, the second water and fertilizer regulation indicator includes an acidity / alkalinity influence indicator and a parameter adjustment indicator; Step S300: Obtain the associated influence saline-alkali land image and peripheral saline-alkali land parameter data of the saline-alkali land to be monitored, and generate the second water and fertilizer regulation indicator based on the associated influence saline-alkali land image and peripheral saline-alkali land parameter data; specifically including:

[0059] Step S310: Obtain the associated saline-alkali land image of the associated saline-alkali land to be monitored, and obtain the flowing water source image within the associated saline-alkali land based on the associated saline-alkali land image;

[0060] Step S320: Generate the estimated inflow of the associated saline-alkali land to the saline-alkali land to be monitored based on the flowing water source image;

[0061] Step S330: Generate an estimated pH reduction value based on the estimated inflow amount, and generate a pH impact indicator based on the estimated pH reduction value;

[0062] Step S340: Obtain the parameter data of the surrounding saline-alkali land of the associated saline-alkali land, and generate a parameter adjustment instruction based on the parameter data of the surrounding saline-alkali land.

[0063] In this embodiment, a preset image acquisition device is used to acquire images of the associated saline-alkali land and its related saline-alkali land. Next, image acquisition is performed, specifically obtaining images of flowing water sources within the associated saline-alkali land based on these images. Finally, based on image recognition, an estimated inflow rate from the associated saline-alkali land to the monitored saline-alkali land is generated. For example, if the terrain of the associated saline-alkali land is pre-set to be higher than that of the monitored saline-alkali land, and image analysis shows that the water accumulated on the associated saline-alkali land gradually flows towards the monitored saline-alkali land, it can be determined that all the water from the associated saline-alkali land, after removing flow losses, can flow into the monitored saline-alkali land, thus generating the estimated inflow rate. Then, the estimated inflow rate is assessed to determine its water volume level and its impact on pH. Based on the principle that excessive water leads to a decrease in pH, an estimated pH decrease value is generated, and a pH impact indicator is generated based on this value. This pH impact indicator represents the impact on the monitored saline-alkali land.

[0064] In one embodiment, step S310 involves acquiring an image of the associated saline-alkali lands affecting the saline-alkali lands to be monitored, and acquiring an image of the flowing water source within the associated saline-alkali lands based on the associated affected saline-alkali land images. Prior to this, the method further includes setting the associated saline-alkali lands of the saline-alkali land to be monitored. Specifically, this includes the following steps:

[0065] First, the terrain parameters of all surrounding saline-alkali lands at the edge of the saline-alkali land to be monitored are obtained, and the surrounding saline-alkali lands that have no impact on the saline-alkali land to be monitored are removed according to the parameters of the surrounding saline-alkali lands. The remaining ones are the initial screening edge saline-alkali lands.

[0066] Next, the crossbars between the initial screening edge saline-alkali land and the saline-alkali land to be tested are acquired. These crossbars are pre-set to separate the two areas of saline-alkali land. That is, by acquiring data from the crossbars, the initial screening edge saline-alkali land containing the crossbars is filtered out, and the filtered-out initial screening edge saline-alkali land is the area that will not affect the saline-alkali land to be monitored. Then, the remaining saline-alkali land is set as associated saline-alkali land, thereby achieving highly accurate setting of the associated saline-alkali land.

[0067] In one embodiment, step S100: The entity responsible for water and fertilizer management of saline-alkali land obtains the selected saline-alkali land to be monitored from the water and fertilizer management area displayed in the saline-alkali land water and fertilizer management interface, and marks the monitoring area of ​​the saline-alkali land to be monitored in the field; specifically including:

[0068] Step S110: Obtain the control trigger command of the water and fertilizer control subject of the saline-alkali land to the water and fertilizer control interface of the saline-alkali land. When the control trigger command matches the standard trigger command, display the water and fertilizer control interface of the saline-alkali land to the water and fertilizer control subject of the saline-alkali land.

[0069] Step S120: Acquire an image of the palm of the main body for regulating water and fertilizer in saline-alkali land facing the interface for regulating water and fertilizer in saline-alkali land;

[0070] Step S130: Set the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject according to the palm display image, and generate a basic delineation area according to the palm opening amplitude value;

[0071] Step S140: Display the basic delineated area to the main body of water and fertilizer regulation of saline-alkali land at the center of the interface for water and fertilizer regulation of saline-alkali land, and set the basic delineated area to a shadow effect;

[0072] Step S150: Obtain the palm dynamic data of the hand of the water and fertilizer regulation subject of the saline-alkali land, and generate the palm adjustment value according to the palm adjustment image;

[0073] Step S160: Adjust the basic delineated area according to the palm adjustment value, and generate the saline-alkali land to be monitored after adjustment;

[0074] Step S170: Send the saline-alkali land to be monitored to the area marking robot, and control the area marking robot to mark the monitoring area of ​​the saline-alkali land in the field.

[0075] In this embodiment, to facilitate the delineation of areas by the saline-alkali land water and fertilizer regulation subject, thereby ensuring targeted and precise water and fertilizer control of the selected area, a contactless area selection control is adopted. First, the regulation trigger command of the saline-alkali land water and fertilizer regulation subject to the saline-alkali land water and fertilizer regulation interface is acquired. When the regulation trigger command matches the standard trigger command, the saline-alkali land water and fertilizer regulation interface is displayed to the saline-alkali land water and fertilizer regulation subject. Next, an image of the hand of the saline-alkali land water and fertilizer regulation subject facing the saline-alkali land water and fertilizer regulation interface is captured using a pre-set image acquisition device, such as a camera. Then, to facilitate the saline-alkali land water and fertilizer regulation subject's awareness of the delineated area and subsequent adjustments, the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject is set based on the palm opening amplitude value, and a basic delineated area is generated based on the palm opening amplitude value. Furthermore, to ensure clear display and improve the display effect, the center of the saline-alkali land water and fertilizer regulation interface is positioned facing the saline-alkali land water and fertilizer regulation interface. The saline-alkali land water and fertilizer regulation system displays the basic delineated area and sets the basic delineated area to a shadow effect. Then, to improve the flexibility of area delineation, it acquires the dynamic data of the palm of the saline-alkali land water and fertilizer regulation system's hand, and then generates palm adjustment values ​​based on the palm adjustment image. Next, it adjusts the basic delineated area according to the palm adjustment values, and generates the saline-alkali land to be monitored after adjustment. Finally, to facilitate marking by staff and to facilitate subsequent observation and water and fertilizer monitoring, the saline-alkali land to be monitored is sent to a pre-set area marking robot. Then, the area marking robot is controlled to mark the monitoring area of ​​the saline-alkali land to be monitored in the field. During the field marking, the area marking robot sets indicator lights around the saline-alkali land to be monitored, thereby preventing other staff from damaging the saline-alkali land to be monitored and filtering out human interference factors.

[0076] In one embodiment, step S150: acquiring the palm dynamic data of the hand of the saline-alkali land water and fertilizer regulation subject, and generating palm adjustment values ​​based on the palm adjustment image; specifically including:

[0077] Step S151: Obtain the palm dynamic data of the hand of the water and fertilizer regulation subject of the saline-alkali land, and divide the palm dynamic data into pre-stored basic time units, and generate palm adjustment actions, with one basic time unit corresponding to one palm adjustment action.

[0078] Step S152: Generate a dynamic adjustment interface based on each of the hand adjustment actions, and display the dynamic adjustment interface;

[0079] Step S153: Obtain the initial and final hand adjustment actions in each of the aforementioned hand adjustment actions, and generate hand change data based on the initial and final hand adjustment actions;

[0080] Step S154: Generate hand adjustment values ​​based on the hand movement data.

[0081] In this embodiment, to ensure flexibility in delineating the area of ​​the saline-alkali land to be tested, real-time monitoring and adjustment are required. Specifically, the following steps are taken: First, dynamic hand data of the water and fertilizer regulation subject of the saline-alkali land is acquired. This dynamic hand data is then divided into pre-stored basic time units, and hand adjustment actions are generated. Each basic time unit corresponds to one hand adjustment action. A dynamic adjustment interface is then generated and displayed based on each hand adjustment action. Next, the initial and final hand adjustment actions are acquired, and hand change data is generated based on these actions. Finally, a hand adjustment value is generated based on the hand change data. The basic time unit is preset, for example, 2 seconds. After the saline-alkali land water and fertilizer regulation subject retracts its hand, the dynamic data collection of the hand is completed. At this point, data collection continues, collecting one action every 2 seconds. After collection, multiple hand adjustment actions are obtained. To facilitate the saline-alkali land water and fertilizer regulation subject's understanding of its specific adjustments, a dynamic adjustment interface is generated and displayed. Then, the initial and final hand adjustment actions are compared to obtain the generated hand change data, specifically the hand change shape and hand adjustment area. Specifically, when the initial hand adjustment action is a fully extended hand and the final hand adjustment action is a fist shape, the hand change shape is the shape obtained by subtracting the fist shape from the fully extended hand shape. Next, the area of ​​the hand change shape is compared with the area of ​​the fully extended hand, and the ratio of their changes is obtained, which is the hand adjustment value. The distance description explains that when the palm adjustment value is 0.5, the basic delineated area is adjusted according to this value by gradually shrinking it from the outer edge inwards until it is reduced to 0.5 times its original size. This completes the adjustment and generates the saline-alkali land to be monitored. Therefore, this method achieves efficient, intuitive, and convenient visual delineation of the area.

[0082] In one embodiment, step S130: setting the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject according to the palm display image, and generating a basic delineated area according to the palm opening amplitude value; specifically including:

[0083] Step S131: Obtain a pre-stored palm database based on the palm display image, wherein the palm database contains multiple standard palm display images, each of which has a different palm opening angle, and each standard palm display image corresponds to a standard opening angle value.

[0084] Step S132: Compare the palm display image with each of the standard palm display images, and record the standard palm display image that matches the palm display image as the target palm image;

[0085] Step S133: Set the standard opening amplitude value corresponding to the target palm image as the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject;

[0086] Step S134: Generate a basic defined area based on the palm opening amplitude value.

[0087] In this embodiment, to facilitate the selection of regions by the water and fertilizer regulation subject in saline-alkali land, a handprint database is pre-set before acquiring the handprint image of the subject. This database stores multiple standard handprint images, each with a different hand opening angle, corresponding to a standard opening angle value. Furthermore, the selected delineated area corresponding to each standard opening angle value is different. Therefore, when setting the basic delineated area, the handprint image is first compared with each of the standard handprint images, and the matching image is selected. A standard palm display image is designated as the target palm image. The palm display image is then compared with each of the standard palm display images, and the standard palm display image that matches the target palm image is designated as the target palm image. Finally, the standard opening amplitude value corresponding to the target palm image is set as the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject. This allows the generation of the basic defined area based on the selected area corresponding to the palm opening amplitude value. Furthermore, the initial selected area is set based on the size of the palm opening amplitude. Compared to the existing technology requiring screen contact for delineation, this method improves convenience, eliminates the need for screen cleaning, and avoids damage to the physical screen.

[0088] In one embodiment, step S400: generating a current water and fertilizer regulation instruction based on the first water and fertilizer regulation instruction and the second water and fertilizer regulation instruction, and regulating the water and fertilizer of the saline-alkali land to be monitored according to the water and fertilizer regulation instruction, specifically includes:

[0089] The first water and fertilizer regulation instruction includes a first pH regulation instruction, such as spraying 2P liters of water to reduce pH and lower pH by 2 to achieve the regulation purpose.

[0090] At this point, when the estimated pH decrease is reduced by 1, it means that the water in the associated saline-alkali land will affect the saline-alkali land to be monitored. Therefore, the pH influence indicator indicates that it is not necessary to spray P liters of water.

[0091] At this point, by combining the first pH control indicator and the pH influence indicator, a total pH indicator is generated, which means that only 1 liter of water is sprayed to adjust the pH of the saline-alkali land to be monitored.

[0092] On the other hand, the peripheral saline-alkali land parameter data includes mineral parameters for the growth of various plants. If the mineral parameters of the saline-alkali land to be monitored increase due to the estimated inflow, it is coordinated with the mineral fertilizer regulation in the second water and fertilizer regulation instruction to finally generate a mineral fertilizer regulation instruction, which in turn generates the current water and fertilizer regulation instruction. Finally, water and fertilizer regulation is carried out on the saline-alkali land to be monitored according to the water and fertilizer regulation instruction, thus achieving efficient water and fertilizer regulation.

[0093] In one embodiment, such as Figure 2 As shown, a water and fertilizer regulation system for saline-alkali land is provided, the system comprising:

[0094] The regional monitoring setting module is used to obtain the saline-alkali land to be monitored selected by the main body of water and fertilizer regulation of saline-alkali land from the water and fertilizer regulation area of ​​saline-alkali land displayed in the water and fertilizer regulation interface of saline-alkali land, and to mark the monitoring area of ​​the saline-alkali land to be monitored in the field.

[0095] The basic data detection module is used to activate the basic detection IoT sensor in the saline-alkali land to be monitored, acquire the basic data of the saline-alkali land detected by the basic detection IoT sensor, and generate a first water and fertilizer regulation instruction based on the basic data of the saline-alkali land.

[0096] The first water and fertilizer regulation module is used to acquire the images of the associated saline-alkali lands and the parameter data of the surrounding saline-alkali lands of the saline-alkali land to be monitored, and to generate a second water and fertilizer regulation instruction based on the images of the associated saline-alkali lands and the parameter data of the surrounding saline-alkali lands.

[0097] The overall water and fertilizer regulation module is used to generate a current water and fertilizer regulation instruction based on the first water and fertilizer regulation instruction and the second water and fertilizer regulation instruction, and to regulate the water and fertilizer of the saline-alkali land to be monitored according to the water and fertilizer regulation instruction.

[0098] In one embodiment, the basic detection IoT sensor includes a soil pH sensor and an aeration sensor, and the basic data of the saline-alkali land includes soil acidity / alkalinity and soil aeration value; the basic data detection module is further used for:

[0099] The soil pH sensor in the saline-alkali land to be monitored is activated and controlled to perform detection, and the soil acidity and alkalinity are obtained after the detection is completed; the air permeability detection sensor in the saline-alkali land to be monitored is activated and air permeability is detected based on the air permeability detection sensor, and the soil air permeability value is generated after the detection is completed; a first water and fertilizer regulation instruction is generated based on the soil acidity and alkalinity and the soil air permeability value.

[0100] In one embodiment, the basic data detection module is further configured to: activate the air permeability detection sensors in the saline-alkali land to be monitored, and acquire the initial measured humidity detected by each of the air permeability detection sensors, while simultaneously controlling the area marking robot to start, wherein the area marking robot is pre-configured, the air permeability detection sensors are humidity detection sensors, the humidity detection sensors are pre-buried in the saline-alkali land to be monitored, the number of humidity detection sensors is multiple, and the burial depth of each humidity detection sensor is the same; acquire the actual saline-alkali land area to be monitored, and set the actual number of humidity detection sensors to be used based on the actual saline-alkali land area; select the actual number of humidity detection sensors to be used in the saline-alkali land to be monitored, and acquire the sensor location of the selected humidity detection sensors; control the area marking robot to spray detection liquid onto the sensor locations respectively; after a pre-stored time interval, acquire the actual measured humidity detected by each of the selected humidity detection sensors respectively; generate a current humidity difference value based on the initial measured humidity and the corresponding actual measured humidity; and generate a soil air permeability value based on the current humidity difference value.

[0101] In one embodiment, the first water and fertilizer regulation module is further configured to:

[0102] The process involves acquiring images of associated saline-alkali lands affecting the saline-alkali land to be monitored, and obtaining images of flowing water sources within the associated saline-alkali lands based on these images. It also involves generating an estimated inflow rate from the associated saline-alkali lands to the saline-alkali land under monitoring based on the flowing water source images; generating an estimated pH reduction value based on the estimated inflow rate; and generating a pH impact indicator based on the estimated pH reduction value. Finally, it involves acquiring parameter data of the surrounding saline-alkali lands of the associated saline-alkali lands and generating a parameter adjustment indicator based on the surrounding saline-alkali land parameter data.

[0103] In one embodiment, the first water and fertilizer regulation module is further configured to: set the associated saline-alkali land of the saline-alkali land to be monitored; specifically including the following steps:

[0104] First, the terrain parameters of all surrounding saline-alkali lands at the edge of the saline-alkali land to be monitored are acquired. Based on these parameters, surrounding saline-alkali lands that do not affect the saline-alkali land to be monitored are removed, leaving the remaining lands as initial screening edge saline-alkali lands. The crossbars between each of these initial screening edge saline-alkali lands and the saline-alkali land to be monitored are then acquired. These crossbars are pre-set to separate the two areas. That is, by acquiring data from these crossbars, the initial screening edge saline-alkali lands containing these crossbars are filtered out, resulting in areas that will not affect the saline-alkali land to be monitored. Next, the remaining saline-alkali lands are set as associated saline-alkali lands, thus achieving highly accurate setting of these associated saline-alkali lands.

[0105] In one embodiment, the area monitoring setting module is further configured to:

[0106] The system acquires control trigger commands from the water and fertilizer management subject for saline-alkali land, and when the control trigger command matches the standard trigger command, displays the water and fertilizer management interface to the subject. It also acquires an image of the subject's hand facing the interface, sets the hand opening amplitude based on the image, and generates a basic delineated area. The system displays this basic delineated area at the center of the interface and sets it to a shadow effect. It acquires dynamic hand data and generates hand adjustment values ​​based on the hand adjustment image. The system adjusts the basic delineated area based on these values ​​and generates a saline-alkali land to be monitored. Finally, it sends this saline-alkali land to a region marking robot, which then marks the monitoring area in the field.

[0107] The regional monitoring setting module is further configured to: acquire dynamic data of the palm of the water and fertilizer regulation subject in the saline-alkali land, and divide the dynamic data of the palm into pre-stored basic time units, and generate palm adjustment actions, with one basic time unit corresponding to one palm adjustment action; generate a dynamic adjustment interface based on each palm adjustment action, and display the dynamic adjustment interface; acquire the initial palm adjustment action and the final palm adjustment action in each palm adjustment action, and generate palm change data based on the initial palm adjustment action and the final palm adjustment action; and generate a palm adjustment value based on the palm change data.

[0108] The area monitoring setting module is further configured to: obtain a pre-stored palm database based on the palm display image, wherein the palm database contains multiple pre-stored standard palm display images, each with a different palm opening amplitude, and each standard palm display image corresponds to a standard opening amplitude value; compare the palm display image with each of the standard palm display images, and record the standard palm display image that matches the palm display image as the target palm image; set the standard opening amplitude value corresponding to the target palm image as the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject; and generate a basic delineated area based on the palm opening amplitude value.

[0109] The overall water and fertilizer control module is further configured to: when the estimated pH reduction value decreases by 1, it means that the water from the associated saline-alkali land will affect the saline-alkali land to be monitored. Therefore, the pH impact indicator indicates that no P liters of water need to be sprayed. At this time, combining the first pH control indicator and the pH impact indicator, a total pH indicator is generated, which means that only 1 P liter of water needs to be sprayed to adjust the pH of the saline-alkali land to be monitored. On the other hand, the peripheral saline-alkali land parameter data includes mineral parameters for various plant growth. If the estimated inflow causes an increase in the mineral parameters of the saline-alkali land to be monitored, it is coordinated with the mineral fertilizer control in the second water and fertilizer control indicator to finally generate a mineral fertilizer adjustment indicator, which in turn generates the current water and fertilizer control indicator. Finally, water and fertilizer control is performed on the saline-alkali land to be monitored according to the water and fertilizer control indicator, achieving efficient water and fertilizer control.

[0110] In one embodiment, such as Figure 3 As shown, a computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps described in the above-mentioned method for regulating water and fertilizer in saline-alkali land.

[0111] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps described in the above-described method for regulating water and fertilizer in saline-alkali land.

[0112] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0113] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0114] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for regulating water and fertilizer in saline-alkali land, characterized in that, The method includes: The process involves obtaining the selected saline-alkali land to be monitored from the water and fertilizer management area displayed in the saline-alkali land water and fertilizer management interface, and marking the monitoring area of ​​the selected saline-alkali land in the field. Specifically, this includes: The system acquires control trigger commands from the water and fertilizer management subject for saline-alkali land, and when the control trigger command matches the standard trigger command, displays the water and fertilizer management interface to the subject. It also acquires an image of the subject's hand facing the interface, sets the hand opening amplitude based on the image, and generates a basic delineated area. The system displays this basic delineated area at the center of the interface and sets it to a shadow effect. It acquires dynamic hand data and generates hand adjustment values ​​based on the hand adjustment image. The system adjusts the basic delineated area based on these values ​​and generates a saline-alkali land to be monitored. Finally, it sends this saline-alkali land to a region marking robot, which then marks the monitored area in the field. The basic detection IoT sensors within the saline-alkali land to be monitored are activated, and basic data of the saline-alkali land detected by the basic detection IoT sensors are acquired. This basic data includes soil pH and soil aeration value. A first water and fertilizer regulation instruction is generated based on the basic data. Images of associated saline-alkali lands and parameter data of surrounding saline-alkali lands are acquired, and a second water and fertilizer regulation instruction is generated based on these images and parameter data. This second water and fertilizer regulation instruction includes a pH influence instruction and a parameter adjustment instruction. Specifically, this includes: The process involves acquiring images of associated saline-alkali lands affecting the monitored saline-alkali land, and obtaining images of flowing water sources within the associated saline-alkali lands based on these images. An estimated inflow rate from the associated saline-alkali lands to the monitored saline-alkali land is generated based on the flowing water source images. An estimated pH reduction value is generated based on the estimated inflow rate, and a pH impact indicator is generated based on the estimated pH reduction value. Finally, parameter data of the surrounding saline-alkali lands of the associated saline-alkali lands is acquired, and a parameter adjustment indicator is generated based on the surrounding saline-alkali land parameter data. The current water and fertilizer regulation instruction is generated based on the first water and fertilizer regulation instruction and the second water and fertilizer regulation instruction, and water and fertilizer regulation is performed on the saline-alkali land to be monitored based on the water and fertilizer regulation instruction.

2. The water and fertilizer regulation method for saline-alkali land according to claim 1, characterized in that, The basic detection IoT sensors include a soil pH sensor and an aeration sensor; the process involves activating the basic detection IoT sensors within the saline-alkali land to be monitored, acquiring basic data of the saline-alkali land detected by the sensors, and generating a first water and fertilizer regulation instruction based on the basic data; specifically including: The soil pH sensor in the saline-alkali land to be monitored is activated and controlled to perform detection, and the soil acidity and alkalinity are obtained after the detection is completed; the air permeability detection sensor in the saline-alkali land to be monitored is activated and air permeability is detected based on the air permeability detection sensor, and the soil air permeability value is generated after the detection is completed; a first water and fertilizer regulation instruction is generated based on the soil acidity and alkalinity and the soil air permeability value.

3. The water and fertilizer regulation method for saline-alkali land according to claim 1, characterized in that, The step of acquiring dynamic palm data of the hand of the subject regulating water and fertilizer in saline-alkali land, and generating palm adjustment values ​​based on the palm adjustment image, specifically includes: The process involves acquiring dynamic hand data of the water and fertilizer regulation subject in saline-alkali land, dividing the dynamic hand data into pre-stored basic time units, and generating hand adjustment actions, with one basic time unit corresponding to one hand adjustment action; generating a dynamic adjustment interface based on each hand adjustment action and displaying the dynamic adjustment interface; acquiring the initial and final hand adjustment actions in each hand adjustment action, and generating hand change data based on the initial and final hand adjustment actions; and generating a hand adjustment value based on the hand change data.

4. The water and fertilizer regulation method for saline-alkali land according to claim 3, characterized in that, The method involves setting the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject based on the palm display image, and generating a basic delineated area based on the palm opening amplitude value. Specifically, it includes: A pre-stored palm database is obtained based on the palm display image, wherein the palm database stores multiple standard palm display images, each with a different palm opening amplitude, and each standard palm display image corresponds to a standard opening amplitude value; the palm display image is compared with each of the standard palm display images, and the standard palm display image that matches the palm display image is recorded as the target palm image; the standard opening amplitude value corresponding to the target palm image is set as the palm opening amplitude value of the saline-alkali land water and fertilizer regulation subject; a basic delineation area is generated based on the palm opening amplitude value.

5. A water and fertilizer regulation system for saline-alkali land, used in the water and fertilizer regulation method for saline-alkali land according to any one of claims 1-4, characterized in that, The system includes: The regional monitoring setting module is used to obtain the saline-alkali land to be monitored selected by the main body of water and fertilizer regulation of saline-alkali land from the water and fertilizer regulation area of ​​saline-alkali land displayed in the water and fertilizer regulation interface of saline-alkali land, and to mark the monitoring area of ​​the saline-alkali land to be monitored in the field. The basic data detection module is used to activate the basic detection IoT sensor in the saline-alkali land to be monitored, and to acquire the basic data of the saline-alkali land detected by the basic detection IoT sensor. The basic data of the saline-alkali land includes soil pH and soil permeability. The module generates a first water and fertilizer regulation instruction based on the basic data of the saline-alkali land. The first water and fertilizer regulation module is used to acquire the images of the associated saline-alkali lands and the parameter data of the surrounding saline-alkali lands of the saline-alkali land to be monitored, and to generate a second water and fertilizer regulation instruction based on the images of the associated saline-alkali lands and the parameter data of the surrounding saline-alkali lands. The overall water and fertilizer regulation module is used to generate a current water and fertilizer regulation instruction based on the first water and fertilizer regulation instruction and the second water and fertilizer regulation instruction, and to regulate the water and fertilizer of the saline-alkali land to be monitored based on the water and fertilizer regulation instruction; The regional monitoring setting module is further configured to: acquire the control trigger command of the saline-alkali land water and fertilizer control subject to the saline-alkali land water and fertilizer control interface; when the control trigger command matches the standard trigger command, display the saline-alkali land water and fertilizer control interface to the saline-alkali land water and fertilizer control subject; acquire an image of the hand of the saline-alkali land water and fertilizer control subject facing the saline-alkali land water and fertilizer control interface; set the hand opening amplitude value of the saline-alkali land water and fertilizer control subject according to the hand opening amplitude value, and generate a basic delineated area according to the hand opening amplitude value; display the basic delineated area to the saline-alkali land water and fertilizer control subject at the center of the saline-alkali land water and fertilizer control interface, and set the basic delineated area to a shadow effect; acquire the hand dynamic data of the hand of the saline-alkali land water and fertilizer control subject, and generate a hand adjustment value according to the hand adjustment image; adjust the basic delineated area according to the hand adjustment value, and generate the saline-alkali land to be monitored after adjustment; send the saline-alkali land to be monitored to the regional marking robot, and control the regional marking robot to perform on-site marking of the monitoring area of ​​the saline-alkali land to be monitored. The first water and fertilizer regulation module is further configured to: acquire images of associated saline-alkali lands affecting the saline-alkali land to be monitored, and acquire images of flowing water sources within the associated saline-alkali lands based on the images of associated saline-alkali lands affecting the saline-alkali lands; generate an estimated inflow amount from the associated saline-alkali lands to the saline-alkali land to be monitored based on the images of flowing water sources; generate an estimated pH reduction value based on the estimated inflow amount, and generate a pH impact indication based on the estimated pH reduction value; acquire parameter data of the surrounding saline-alkali lands of the associated saline-alkali lands, and generate a parameter adjustment indication based on the parameter data of the surrounding saline-alkali lands.

6. The water and fertilizer regulation system for saline-alkali land according to claim 5, characterized in that, The basic detection IoT sensors include a soil pH sensor and an aeration sensor. The basic data detection module is also used for: The soil pH sensor in the saline-alkali land to be monitored is activated and controlled to perform detection, and the soil acidity and alkalinity are obtained after the detection is completed; the air permeability detection sensor in the saline-alkali land to be monitored is activated and air permeability is detected based on the air permeability detection sensor, and the soil air permeability value is generated after the detection is completed. A first water and fertilizer regulation indicator is generated based on the soil pH and the soil aeration value.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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