Crop growth irrigation decision control system

Abstract

The invention relates to the technical field of decision control, in particular to a crop growth irrigation decision control method and a storage medium. The method comprises the following steps: acquiring boundary position information of a land parcel to generate a land parcel position information graph, and performing grid division on the generated land parcel position information graph to obtain a land parcel grid graph; acquiring soil information, crop information and environment information of each plot grid in the plot grid chart in real time; the soil information of each plot grid is displayed on the plot grid chart, and the soil information of each plot grid is analyzed to generate the irrigation scheme, and the corresponding plot grid is irrigated based on the generated irrigation scheme, so that the irrigation at the optimal opportunity can be ensured, and the quality of crops or horticultural crops can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of artificial intelligence, and in particular to a crop growth irrigation decision-making control system. Background Art

[0002] With the gradual increase in labor costs and the increasing shortage of fresh water resources, smart irrigation technology has become an urgent need in the agriculture, forestry and gardening industries. Smart irrigation technology uses smart equipment to irrigate farmland, gardens, garden plots, greenhouses and other sites, which can not only reduce the workload of irrigation, but also save a lot of water resources, thus reducing the overall cost of irrigation.

[0003] The ultimate goal of irrigating plants is to ensure the yield of crops, the quality of agricultural products or the excellent growth state of horticultural crops. However, the existing intelligent irrigation system uses manual methods or simple computer methods to judge whether irrigation is needed. However, due to the data analysis capabilities of manual judgment or simple computer methods, the existing technology can only judge whether irrigation is needed based on a single factor such as soil moisture or crop images, and uses indirect indicators to judge whether plants need irrigation. In fact, when irrigation is needed is affected by many factors such as weather, soil, and small-scale plant growth conditions. The existing technology judges the timing and amount of irrigation in a way that is out of the ultimate goal of irrigation. It is difficult to ensure that irrigation is carried out at the best time, and the best irrigation time may be missed, resulting in reduced crop yields or reduced quality of horticultural crops. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a crop growth irrigation decision-making control method, which generates an irrigation plan by dividing the plots into grids, collecting multiple factors for each plot, and analyzing each plot according to the multiple factors, which helps to ensure irrigation at the best time, thereby helping to improve the quality of agricultural crops or horticultural crops.

[0005] In order to implement the above technical solution, in a first aspect, the present invention provides a crop growth irrigation decision control method, comprising the following steps: Step 1: Generate a plot location information map by acquiring the plot boundary location information, and perform grid division on the generated plot location information map to obtain a plot grid map; Step 2: Real-time acquisition of soil information, crop information and environmental information of each plot grid in the plot grid map; Step 3: Displaying soil information of each plot grid on the plot grid map, and analyzing the soil information of each plot grid to generate an irrigation plan; Step 4: Based on the generated irrigation plan, irrigate the corresponding plot grids.

[0006] Furthermore, the step 1 comprises: The land parcel boundary information is collected through the GPS module, and a land parcel boundary map is generated according to the collected land parcel boundary information; Gridding the generated plot boundary map according to actual area needs to obtain a plot grid map; Each plot grid map is numbered in a certain order to obtain a numbered plot grid map.

[0007] Furthermore, the step three comprises: Preprocess the soil information, environmental information and crop information collected for each plot grid; Based on the preprocessed soil information data, a water balance model is constructed to analyze the soil moisture content of each plot grid; According to the constructed water balance model, the soil water content of each plot grid is predicted; The water requirement of crops in each plot grid is calculated using the following formula: ETc = Kc·Ks·ET0; Kc is the crop coefficient; Ks is the water stress coefficient; when soil water stress occurs, Ks<1; when there is no soil water stress, Ks = 1; ET0 is the crop evapotranspiration; where the expression is: ; Where, Rn is the net radiation of the crop surface; G is the soil heat flux; T is the soil temperature; u2 is the wind speed; es is the saturated water vapor pressure; ea is the actual water vapor pressure; Δ is the slope of the relationship curve between saturated water vapor pressure and air temperature; γ is the hygrometer constant; An irrigation plan is generated based on the predicted soil water content of each plot grid and the water requirement of the crops in each plot grid.

[0008] Furthermore, the preprocessing of the collected soil information, environmental information and crop information of each plot grid includes: The abnormal data in soil information, environmental information and crop information are identified and eliminated through statistical process control methods; The soil information data is completed by linear interpolation method; The z-score algorithm is used to annotate soil information, and the formula is as follows: ; in, Indicates The data attribute value after the soil information is standardized; For the Data of soil information to be standardized; is the mean value of the attribute, is the variance of the attribute.

[0009] In a second aspect, the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the crop growth irrigation decision control method described above.

[0010] The beneficial effects of the present invention are: The present invention divides the plots into grids, collects soil information, soil information, environmental information and other factors of each plot grid, and analyzes the collected factors to generate a corresponding irrigation plan for each plot network, thereby helping to achieve optimal timing of irrigation for each plot grid, thereby improving the quality of crops or horticultural crops. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0012] Figure 1 The present invention is a flow chart of a crop growth irrigation decision control method. DETAILED DESCRIPTION

[0013] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0014] It should be noted that the following detailed descriptions are all illustrative and are intended to provide further explanation of the present invention. Unless otherwise specified, each technical and scientific term used in this embodiment has the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

[0015] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0016] In the present invention, terms such as "upper", "lower", "left", "right", "front", "back", "vertical", "horizontal", "side", "bottom", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings. They are relational words determined only for the convenience of describing the structural relationships of the various parts or elements of the present invention, and do not specifically refer to any part or element in the present invention and should not be understood as limitations on the present invention.

[0017] In the present invention, terms such as "fixed connection", "connected", "connection", etc. should be understood in a broad sense, indicating that it can be fixedly connected, integrally connected or detachably connected; it can be directly connected or indirectly connected through an intermediate medium. Relevant scientific research or technical personnel in this field can determine the specific meanings of the above terms in the present invention according to specific circumstances, and they should not be understood as limiting the present invention.

[0018] Embodiment 1: like Figure 1 As shown, this embodiment provides a crop growth irrigation decision control method, comprising the following steps: S1: Generate a plot location information map by acquiring plot boundary location information, and perform grid division on the generated plot location information map to obtain a plot grid map; Specifically, the following steps are included: S1-1: Collect the land parcel boundary information through the GPS module, and generate a land parcel boundary map according to the collected land parcel boundary information.

[0019] S1-2: Grid the generated plot boundary map according to actual area needs to obtain a plot grid map.

[0020] It should be noted that the area size of each grid map in the plot grid map can be set according to actual needs, for example, each plot grid is set to a size of 5m*5m.

[0021] S1-3: Number each plot grid map in a certain order to obtain a numbered plot grid map.

[0022] For example, a plot of land is divided into n grids, and the n grids can be numbered as the first plot grid, the second plot grid, ..., the nth plot grid.

[0023] S2: Real-time acquisition of soil information, crop information and environmental information of each plot grid in the plot grid map.

[0024] It should be noted that, according to the number of divided grids, a soil detection module for detecting soil information is pre-set in each plot grid; Soil information includes soil moisture; crop information includes species and crop growth and development period (for example, germination period, flowering period, etc.); environmental information includes light intensity, ambient temperature, etc.

[0025] S3: Display soil information of each plot grid on the plot grid map, and analyze the soil information of each plot grid to generate an irrigation plan.

[0026] The specific steps include: S3-1: Preprocess the soil information, environmental information and crop information collected for each plot grid.

[0027] A1: Use the Statistical process control method (SPC for short) to identify and eliminate abnormal data in soil information.

[0028] It should be noted that the SPC method monitors, records and controls the information collection of the soil information collection module through the control chart, and there is a control upper limit on the control chart structure. , Center Line and the lower control limit , A1-1: Determine the upper control limit in the control chart , Center Line and the lower control limit , the expression is; ; in, and are the average of the sample mean and standard deviation respectively; are the upper and lower control limit factors; different sample group sizes correspond to different control limit factors .

[0029] A1-2: Based on the established control limit , Center Line and the lower control limit , to determine and eliminate invalid data in soil information.

[0030] Specifically, when satisfy If it is true, it is valid data, and the rest are invalid data, which are eliminated to avoid the interference of abnormal data on the fusion result.

[0031] A2: Soil information data is completed through linear interpolation.

[0032] A3: Use the z-score algorithm to annotate soil information. The formula is as follows: ; in, Indicates The data attribute value after the soil information is standardized; For the Data of soil information to be standardized; is the mean value of the attribute, is the variance of the attribute.

[0033] By standardizing soil information data, all data can be compared on the same standard, thus solving the problem of different data dimensions.

[0034] S3-2: Based on the preprocessed soil information data, a water balance model is constructed to analyze the soil moisture content of each plot grid.

[0035] The expression of the water balance model is: ; in, is the change of soil water storage, L is the current soil water storage, E is the evaporation intensity, S is the area of ​​the plot grid, and Q0 is the infiltration water.

[0036] S3-3: Predict the soil water content of each plot grid based on the constructed water balance model.

[0037] S3-4: Calculate the water requirement of crops in each plot grid using the following formula: ETc = Kc·Ks·ET0; Kc is the crop coefficient (the ratio of water demand to possible evapotranspiration during different growth stages of crops); Ks is the water stress coefficient; when soil water stress occurs (i.e., soil water deficiency inhibits crop growth); Ks<1; when there is no soil water stress, Ks = 1; ET0 is crop evapotranspiration in mm / d; where the expression is:

[0038] Where, Rn is the net radiation of the crop surface, in MJ / (m2·d); G is the soil heat flux, in MJ / (m2·d); T is the soil temperature; u2 is the wind speed; es is the saturated water vapor pressure; ea is the actual water vapor pressure; Δ is the slope of the curve of the relationship between saturated water vapor pressure and air temperature; γ is the hygrometer constant.

[0039] S3-5: Generate an irrigation plan based on the predicted soil water content of each plot grid and the water requirement of the crops in each plot grid.

[0040] S4: Based on the generated irrigation plan, irrigate the corresponding plot grid.

[0041] Embodiment 2: This embodiment provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the crop growth irrigation decision control method described in Example 1.

[0042] In this specification, the same or similar parts between the various embodiments can be referred to each other. In particular, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method embodiment.

[0043] In the several embodiments provided by the present invention, it should be understood that the disclosed system and method can It can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or units, which can be electrical, mechanical or other forms.

[0044] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0045] In addition, it should be noted that the flowchart in the accompanying drawings shows the method of the embodiment of the present disclosure. In the corresponding description in the flowchart or block diagram in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in an order different from that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be performed substantially in parallel, or sometimes in the opposite order, which may depend on the functions involved. Each block in the block diagram and / or flow chart, and the combination of blocks in the block diagram and / or flow chart, can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0046] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A crop growth irrigation decision control method, characterized in that: The following steps are involved: Step 1: Generate a plot location information map by acquiring the plot boundary location information, and perform grid division on the generated plot location information map to obtain a plot grid map; Step 2: Real-time acquisition of soil information, crop information and environmental information of each plot grid in the plot grid map; Step 3: Displaying soil information of each plot grid on the plot grid map, and analyzing the soil information of each plot grid to generate an irrigation plan; Step 4: Based on the generated irrigation plan, irrigate the corresponding plot grids.

2. The crop growth irrigation decision control method according to claim 1, characterized in that: The step one comprises: The land parcel boundary information is collected through the GPS module, and a land parcel boundary map is generated according to the collected land parcel boundary information; Gridding the generated plot boundary map according to actual area needs to obtain a plot grid map; Each plot grid map is numbered in a certain order to obtain a numbered plot grid map.

3. The crop growth irrigation decision control method according to claim 1, characterized in that: The step three comprises: Preprocess the soil information, environmental information and crop information collected for each plot grid; Based on the preprocessed soil information data, a water balance model is constructed to analyze the soil moisture content of each plot grid; According to the constructed water balance model, the soil water content of each plot grid is predicted; The water requirement of crops in each plot grid is calculated using the following formula: ETc = Kc·Ks·ET0; Kc is the crop coefficient; Ks is the water stress coefficient; when soil water stress occurs, Ks <1; when there is no soil water stress, Ks = 1; ET0 is the crop evapotranspiration; where the expression is: ； Where, Rn is the net radiation of the crop surface; G is the soil heat flux; T is the soil temperature; u2 is the wind speed; es is the saturated water vapor pressure; ea is the actual water vapor pressure; Δ is the slope of the relationship curve between saturated water vapor pressure and air temperature; γ is the hygrometer constant; An irrigation plan is generated based on the predicted soil water content of each plot grid and the water requirement of the crops in each plot grid.

4. The crop growth irrigation decision control method according to claim 3, characterized in that: The preprocessing of the collected soil information, environmental information and crop information of each plot grid includes: The abnormal data in soil information, environmental information and crop information are identified and eliminated through statistical process control methods; The soil information data is completed by linear interpolation method; The z-score algorithm is used to annotate soil information, and the formula is as follows: ； in, Indicates The data attribute value after the soil information is standardized; For the Data of soil information to be standardized; is the mean value of the attribute, is the variance of the attribute.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the crop growth irrigation decision control method described in any one of claims 1 to 4.

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