Soil Moisture Prediction System and Method Based on Farm Environment Monitoring Data

Abstract

The present invention provides a soil moisture prediction system and method based on farm environment monitoring data. By means of segmented sensing detection according to the stems of imitated crops, soil moisture sensing detection contacts are distributed in soil layers through the root distribution structure of imitated crops, creating a soil moisture sensing imitated crop root detection device to obtain soil moisture detection data sensed by imitated roots; a farm soil environment monitoring subsystem, with multiple farm soil temperature sensors set in segments, and multiple groups of air velocity detection units and illuminance sensors distributed at selected points at the contact position between the farm soil surface and the air to obtain farm soil environment monitoring data; a soil quality monitoring evaporation analysis subsystem, which conducts segmented and layered soil sampling detection on the farm soil to obtain farm soil segmented and layered monitoring data, establishes the relationship between farm soil quality monitoring data and soil moisture evaporation, and analyzes the segmented and layered evaporation rate of farm soil quality; a farm soil moisture prediction subsystem, which, according to the segmented and layered evaporation rate of farm soil quality and by importing farm soil moisture detection data, obtains a three-dimensional error elimination prediction model for segmented and layered farm soil quality, and accurately predicts the change in the soil moisture content of the farm soil in segments and layers.

Description

Technical Field

[0001] The present invention relates to the technical field of precise prediction of environmental monitoring, and more specifically, to a soil moisture prediction system and method based on farm environmental monitoring data. Background Art

[0002] At present, it is difficult to accurately and intelligently predict the soil moisture in farms; specific problems include: how to distribute soil moisture sensing detection contacts in soil layers through a structure imitating the root distribution of crops and obtain soil root-like sensing moisture detection data, how to accurately obtain farm soil environmental monitoring data, how to obtain soil mass block and layer monitoring data of farms and analyze the evaporation rate of soil mass block and layer in farms, how to obtain a three-dimensional error elimination prediction model for soil mass block and layer in farms and accurately predict the change of soil moisture content in a block and layer manner, etc., which remain to be solved; therefore, it is necessary to propose a soil moisture prediction system and method based on farm environmental monitoring data to at least partially solve the problems existing in the prior art. Summary of the Invention

[0003] A series of simplified concepts are introduced in the Summary of the Invention section, which will be further detailed in the Detailed Description section; the Summary of the Invention section of the present invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the protection scope of the claimed technical solution.

[0004] To at least partially solve the above problems, the present invention provides a soil moisture prediction system based on farm environmental monitoring data, including:

[0005] A soil root-like sensing moisture detection subsystem, which creates a soil moisture sensing root-like crop detection device by distributing soil moisture sensing detection contacts in soil layers according to the segment sensing detection of the stem of the imitated crop, and obtains soil root-like sensing moisture detection data;

[0006] A farm soil environmental monitoring subsystem, which sets multiple farm soil temperature sensors in segments, and selects points to distributively set multiple groups of air velocity detection units and illuminance sensors at the positions where the farm soil surface contacts the air, and obtains farm soil environmental monitoring data;

[0007] A soil quality monitoring and evaporation analysis subsystem, which conducts block and layer soil quality sampling detection on the farm soil, obtains soil mass block and layer monitoring data of the farm, establishes the relationship between the soil mass monitoring data of the farm soil and soil moisture evaporation, and analyzes the evaporation rate of soil mass block and layer in the farm soil;

[0008] The farm soil moisture prediction sub-system, based on the evaporation rates of different soil blocks and layers according to the soil texture of the farm, and importing the farm soil moisture detection data, obtains a three-dimensional error elimination prediction model for different soil blocks and layers of the farm soil, and accurately predicts the changes in the farm soil moisture content for different blocks and layers.

[0009] Preferably, the soil root-like sensor moisture detection sub-system includes:

[0010] The deep soil moisture sensor sub-system sets multiple soil moisture sensor units from the deep soil, numbers each soil moisture sensor unit, and creates a sensor detection device imitating the segmented stems of crops;

[0011] The moisture sensor root-like crop sub-system distributes the moisture sensor detection contacts of the sensor detection device imitating the segmented stems of crops through the root-like crop distribution structure in the soil layers, creates a moisture sensor root-like crop detection device, and obtains the deep soil sensor detection signals of the farm.

[0012] The power supply and moisture detection wireless signal sub-system supplies power to the system through a discrete regulated power supply; converts the deep soil sensor detection signals of the farm into moisture detection wireless signals, and performs wireless data transmission with the soil quality monitoring evaporation analysis sub-system to obtain the soil root-like sensor moisture detection data.

[0013] Preferably, the farm soil environment monitoring sub-system includes:

[0014] The farm soil temperature segmented monitoring sub-system segments at a set distance from the soil surface to the maximum depth layer where the crop roots are distributed, and sets multiple farm soil temperature sensors in segments to obtain the farm soil temperature segmented monitoring data;

[0015] The soil surface air velocity monitoring sub-system selects points and distributes multiple groups of air velocity detection units at the position where the farm soil surface contacts the air to obtain the farm soil surface air velocity monitoring data;

[0016] The light monitoring farm environment sub-system monitors the light intensity of the farm soil environment through a light intensity sensor to obtain the farm light intensity monitoring data; summarizes the farm soil temperature segmented monitoring data, the farm soil surface air velocity monitoring data and the farm light intensity monitoring data to obtain the farm soil environment monitoring data.

[0017] Preferably, the soil quality monitoring evaporation analysis sub-system includes:

[0018] The soil block and layer monitoring sub-system initially divides the farm monitoring area into farm initial blocks according to a set area, sets grid points in the farm initial block farm monitoring area for grid point soil sampling detection to obtain grid point soil sampling detection data; performs soil block and layer setting according to the grid point soil sampling detection data to obtain the farm soil block and layer monitoring data;

[0019] The soil evaporation relationship subsystem establishes the relationship between the soil quality monitoring data of the farm and soil water evaporation based on the soil moisture detection data sensed by the artificial root system, the farm soil environment monitoring data, and the farm soil quality block and layer monitoring data.

[0020] The evaporation rate analysis subsystem analyzes the evaporation rate of each block and layer of the farm soil quality based on the relationship between the farm soil quality monitoring data and soil water evaporation.

[0021] Preferably, the farm soil moisture prediction subsystem includes:

[0022] The moisture detection content conversion subsystem creates a three-dimensional trend model of the soil evaporation rate for each block and layer of the farm soil quality based on the evaporation rate of each block and layer of the farm soil quality.

[0023] The moisture content evaporation state subsystem converts the farm soil moisture detection data into soil moisture content data points, performs cyclic training error correction on the three-dimensional trend model of the farm soil evaporation rate for each block and layer of the soil quality, and obtains a three-dimensional error-eliminating prediction model for each block and layer of the farm soil quality.

[0024] The soil moisture precise prediction subsystem precisely predicts the change of the farm soil moisture content for each block and layer through the three-dimensional error-eliminating prediction model of the farm soil quality based on the real-time monitored moisture content evaporation state.

[0025] The present invention provides a method for predicting soil moisture based on farm environment monitoring data, including:

[0026] S100, according to the segmented sensing detection of the artificial crop stems, distribute the soil moisture sensing detection contacts through the artificial crop root distribution structure in the soil layers to create a soil moisture sensing artificial crop root detection device, and obtain the soil moisture detection data sensed by the artificial root system.

[0027] S200, set multiple farm soil temperature sensors in segments, select points and distribute multiple groups of air velocity detection units and light intensity sensors at the positions where the farm soil surface contacts the air to obtain the farm soil environment monitoring data.

[0028] S300, conduct block and layer soil quality sampling detection on the farm soil, obtain the farm soil quality block and layer monitoring data, establish the relationship between the farm soil quality monitoring data and soil water evaporation, and analyze the evaporation rate of each block and layer of the farm soil quality.

[0029] S400, according to the evaporation rate of each block and layer of the farm soil quality and import the farm soil moisture detection data, obtain a three-dimensional error-eliminating prediction model for each block and layer of the farm soil quality, and precisely predict the change of the farm soil moisture content for each block and layer.

[0030] Preferably, S100 includes:

[0031] S101. Set up multiple soil moisture sensing units deep in the soil, number each soil moisture sensing unit, and create a segmented sensing and detection device imitating crop stems.

[0032] S102. Distribute the moisture sensing and detecting contacts of the segmented sensing and detection device imitating crop stems through the soil layer structure imitating crop root distribution to create a moisture sensing and crop root imitating detection device, and obtain the deep soil layer sensing and detection signals of the farm.

[0033] S103. Supply power to the system through a discrete regulated power supply; convert the deep soil layer sensing and detection signals of the farm into moisture detection wireless signals, and perform wireless data transmission with the soil quality monitoring evaporation analysis subsystem to obtain the soil root imitating sensing moisture detection data.

[0034] Preferably, S200 includes:

[0035] S201. Segment at a set distance from the soil surface to the maximum depth layer of crop root distribution, and set up multiple farm soil temperature sensors in segments to obtain the segmented monitoring data of farm soil temperature.

[0036] S202. Select points and distribute multiple groups of air velocity detection units at the position where the farm soil surface contacts the air to obtain the monitoring data of the air velocity on the farm soil surface.

[0037] S203. Monitor the light intensity of the farm soil environment through a light intensity sensor to obtain the monitoring data of the farm light intensity; summarize the segmented monitoring data of farm soil temperature, the monitoring data of the air velocity on the farm soil surface, and the monitoring data of the farm light intensity to obtain the monitoring data of the farm soil environment.

[0038] Preferably, S300 includes:

[0039] S301. Initially divide the farm monitoring area into blocks according to a set area, set grid points in the initially divided farm monitoring area for grid point soil quality sampling detection to obtain grid point soil quality sampling detection data; perform soil quality block and layer setting according to the grid point soil quality sampling detection data to obtain the block and layer monitoring data of farm soil quality.

[0040] S302. Establish the relationship between the farm soil quality monitoring data and soil moisture evaporation based on the soil root imitating sensing moisture detection data, the farm soil environment monitoring data, and the block and layer monitoring data of farm soil quality.

[0041] S303. Analyze the evaporation rate of the farm soil quality block and layer according to the relationship between the farm soil quality monitoring data and soil moisture evaporation.

[0042] Preferably, S400 includes:

[0043] S401. Create a three-dimensional trend model of soil evaporation rate with soil mass block and layer division according to the evaporation rate of soil mass block and layer division in the farm soil.

[0044] S402. Convert the farm soil moisture detection data into soil moisture content data points, and perform cyclic training error correction on the three-dimensional trend model of soil evaporation rate with soil mass block and layer division in the farm soil to obtain a three-dimensional error-eliminating prediction model of soil mass block and layer division in the farm.

[0045] S403. According to the real-time monitored moisture content evaporation state, accurately predict the change of farm soil moisture content in blocks and layers through the three-dimensional error-eliminating prediction model of soil mass block and layer division in the farm.

[0046] Compared with the prior art, the present invention has at least the following beneficial effects:

[0047] The present invention provides a soil moisture prediction system and method based on farm environment monitoring data. Through the soil root-like sensing moisture detection subsystem, according to the segmented sensing detection of the root-like crop stems, the soil moisture sensing detection contacts are distributed in the soil layers according to the root distribution structure of the crop, creating a soil moisture sensing root-like crop detection device to obtain soil root-like sensing moisture detection data; the farm soil environment monitoring subsystem, multiple farm soil temperature sensors are set in segments, and multiple groups of air velocity detection units and illuminance sensors are distributed at selected points at the position where the farm soil surface contacts the air to obtain farm soil environment monitoring data; the soil quality monitoring evaporation analysis subsystem, conducts segmented and layered soil quality sampling detection on the farm soil to obtain farm soil quality segmented and layered monitoring data, establishes the relationship between the farm soil quality monitoring data and soil moisture evaporation, and analyzes the segmented and layered evaporation rate of the farm soil quality; the farm soil moisture prediction subsystem, according to the segmented and layered evaporation rate of the farm soil quality, and imports the farm soil moisture detection data to obtain a three-dimensional error elimination prediction model for the segmented and layered farm soil quality, and accurately predicts the change of the farm soil moisture content in segments and layers; multiple soil moisture sensing units are set from the deep layer of the soil, and each soil moisture sensing unit is numbered to create a segmented sensing detection device for the root-like crop stems; the soil moisture sensing detection contacts of the segmented sensing detection device for the root-like crop stems are distributed in the soil layers according to the root distribution structure of the crop, creating a soil moisture sensing root-like crop detection device to obtain the deep layer sensing detection signal of the farm soil; the system is powered by a discrete regulated power supply; the deep layer sensing detection signal of the farm soil is converted into a moisture detection wireless signal and wireless data transmission is carried out with the soil quality monitoring evaporation analysis subsystem to obtain soil root-like sensing moisture detection data; segments are set at a set distance from the soil surface to the maximum depth layer of the crop root distribution, and multiple farm soil temperature sensors are set in segments to obtain segmented monitoring data of the farm soil temperature; at the position where the farm soil surface contacts the air, multiple groups of air velocity detection units are distributed at selected points to obtain the monitoring data of the air velocity on the farm soil surface; the illuminance of the farm soil environment is monitored by an illuminance sensor to obtain the farm illuminance monitoring data; the segmented monitoring data of the farm soil temperature, the monitoring data of the air velocity on the farm soil surface and the farm illuminance monitoring data are summarized to obtain the farm soil environment monitoring data; the farm monitoring area is initially divided into blocks according to a set area, and grid point soil quality sampling detection is carried out at the grid points set in the initially divided farm monitoring area to obtain grid point soil quality sampling detection data; soil quality segmented and layered settings are carried out according to the grid point soil quality sampling detection data to obtain farm soil quality segmented and layered monitoring data; according to the soil root-like sensing moisture detection data, the farm soil environment monitoring data and the farm soil quality segmented and layered monitoring data, the relationship between the farm soil quality monitoring data and soil moisture evaporation is established; according to the relationship between the farm soil quality monitoring data and soil moisture evaporation, the segmented and layered evaporation rate of the farm soil quality is analyzed;Create a three-dimensional trend model of soil evaporation rate for different soil types and layers in the farm according to the evaporation rate of different soil blocks and layers in the farm soil; convert the farm soil moisture detection data into soil moisture content data points, perform cyclic training error correction on the three-dimensional trend model of soil evaporation rate for different soil types and layers in the farm soil, and obtain a three-dimensional error-eliminating prediction model for different soil blocks and layers in the farm soil; according to the real-time monitored moisture content evaporation state, accurately predict the change of farm soil moisture content for different soil blocks and layers through the three-dimensional error-eliminating prediction model for different soil blocks and layers in the farm soil, and greatly increase the accuracy and detail of farm soil moisture prediction.

[0048] For the soil moisture prediction system and method based on farm environment monitoring data of the present invention, other advantages, objectives and features of the present invention will be partially reflected by the following description, and will also be understood by those skilled in the art through the research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0050] Figure 1 It is a block diagram of the soil moisture prediction system based on farm environment monitoring data of the present invention.

[0051] Figure 2 It is a diagram of an embodiment of the soil moisture prediction method based on farm environment monitoring data of the present invention.

[0052] Figure 3 It is a display diagram of an embodiment of the soil moisture prediction method based on farm environment monitoring data of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] The following further describes the present invention in detail with reference to the drawings and embodiments, so that those skilled in the art can implement it according to the description in the specification; as Figures 1-3 shown, the present invention provides a soil moisture prediction system based on farm environment monitoring data, including:

[0054] A soil root-like sensor moisture detection subsystem, according to the segmented sensing detection of the crop stalks, distributes the soil moisture sensing detection contacts in the soil layers through the root distribution structure of the crop, creates a soil moisture sensing crop root-like detection device, and obtains soil root-like sensor moisture detection data;

[0055] A farm soil environment monitoring subsystem, which sets multiple farm soil temperature sensors in segments, and selects points to distribute multiple groups of air velocity detection units and illuminance sensors at the contact position between the farm soil surface and the air, and obtains farm soil environment monitoring data;

[0056] Soil quality monitoring evaporation analysis subsystem, which conducts block-by-block and layer-by-layer soil sampling detection on the farm soil, obtains block-by-block and layer-by-layer soil quality monitoring data of the farm, establishes the relationship between the block-by-block and layer-by-layer soil quality monitoring data of the farm soil and soil water evaporation, and analyzes the block-by-block and layer-by-layer evaporation rate of the farm soil quality.

[0057] Farm soil water prediction subsystem, according to the block-by-block and layer-by-layer evaporation rate of the farm soil quality, and importing the farm soil water detection data, obtains a three-dimensional error elimination prediction model for the block-by-block and layer-by-layer farm soil quality, and accurately predicts the change of the farm soil water content block by block and layer by layer.

[0058] The principles and effects of the above technical solution are as follows: The present invention provides a soil moisture prediction system based on farm environment monitoring data. Through the soil root-like sensor moisture detection subsystem, according to the segmented sensing detection of the root-like crop stems, the soil moisture sensing detection contacts are distributed in the soil layers according to the root distribution structure of the crop, creating a soil moisture sensing root-like crop detection device to obtain soil root-like sensor moisture detection data; the farm soil environment monitoring subsystem, multiple farm soil temperature sensors are set in segments, and multiple groups of air velocity detection units and illuminance sensors are distributed at selected points at the contact position between the farm soil surface and the air to obtain farm soil environment monitoring data; the soil quality monitoring evaporation analysis subsystem, conducts segmented and layered soil quality sampling detection on the farm soil to obtain farm soil quality segmented and layered monitoring data, establishes the relationship between farm soil quality monitoring data and soil moisture evaporation, and analyzes the segmented and layered evaporation rate of the farm soil quality; the farm soil moisture prediction subsystem, according to the segmented and layered evaporation rate of the farm soil quality, and imports the farm soil moisture detection data, obtains a three-dimensional error elimination prediction model for the segmented and layered farm soil quality, and accurately predicts the change of the farm soil moisture content in segments and layers; multiple soil moisture sensing units are set from the deep layer of the soil, and each soil moisture sensing unit is numbered to create a segmented sensing detection device for the root-like crop stems; the soil moisture sensing detection contacts of the segmented sensing detection device for the root-like crop stems are distributed in the soil layers according to the root distribution structure of the crop, creating a soil moisture sensing root-like crop detection device to obtain the deep layer sensing detection signal of the farm soil; the system is powered by a discrete regulated power supply; the deep layer sensing detection signal of the farm soil is converted into a moisture detection wireless signal and wireless data transmission is carried out with the soil quality monitoring evaporation analysis subsystem to obtain soil root-like sensor moisture detection data; segments are set at a set distance from the soil surface to the maximum depth layer of the crop root distribution, and multiple farm soil temperature sensors are set in segments to obtain segmented monitoring data of the farm soil temperature; at the contact position between the farm soil surface and the air, multiple groups of air velocity detection units are distributed at selected points to obtain the monitoring data of the air velocity on the farm soil surface; the illuminance of the farm soil environment is monitored by an illuminance sensor to obtain the farm illuminance monitoring data; the segmented monitoring data of the farm soil temperature, the monitoring data of the air velocity on the farm soil surface and the farm illuminance monitoring data are summarized to obtain the farm soil environment monitoring data; the farm monitoring area is initially divided into blocks according to a set area, and grid point soil quality sampling detection is carried out at the grid points set in the initially divided farm monitoring area to obtain grid point soil quality sampling detection data; soil quality segmented and layered settings are carried out according to the grid point soil quality sampling detection data to obtain farm soil quality segmented and layered monitoring data; according to the soil root-like sensor moisture detection data, the farm soil environment monitoring data and the farm soil quality segmented and layered monitoring data, the relationship between the farm soil quality monitoring data and the soil moisture evaporation is established; according to the relationship between the farm soil quality monitoring data and the soil moisture evaporation, the segmented and layered evaporation rate of the farm soil quality is analyzed.Create a three-dimensional trend model of soil evaporation rate for soil mass block and layer based on the evaporation rate of soil mass block and layer in the farm; convert the farm soil moisture detection data into soil moisture content data points, perform cyclic training error correction on the three-dimensional trend model of soil evaporation rate for soil mass block and layer in the farm, and obtain a three-dimensional error-eliminating prediction model for soil mass block and layer in the farm; according to the real-time monitored moisture content evaporation state, accurately predict the change of farm soil moisture content block by block and layer by layer through the three-dimensional error-eliminating prediction model for soil mass block and layer in the farm; greatly increase the accuracy and detail of farm soil moisture prediction.

[0059] In one embodiment, the soil root-like sensing moisture detection subsystem includes:

[0060] The deep soil moisture sensing subsystem sets multiple soil moisture sensing units from the deep soil, numbers each soil moisture sensing unit, and creates a sensing detection device imitating the stem segments of crops;

[0061] The moisture sensing subsystem imitating the roots of crops distributes the moisture sensing detection contacts of the sensing detection device imitating the stem segments of crops in the soil layers through the root distribution structure of crops, creates a moisture sensing device imitating the roots of crops, and obtains the deep soil sensing detection signals of the farm;

[0062] The power supply and moisture detection wireless signal subsystem supplies power to the system through a discrete regulated power supply; converts the deep soil sensing detection signals of the farm into moisture detection wireless signals, and performs wireless data transmission with the soil mass monitoring evaporation analysis subsystem to obtain the soil root-like sensing moisture detection data.

[0063] The principle and effect of the above technical solution are as follows: the soil imitation root system sensing moisture detection subsystem sets multiple soil moisture sensing units from the deep soil layer through the soil deep moisture sensing subsystem, and numbers each soil moisture sensing unit to create a crop stem segment sensing detection device; the moisture sensing imitation crop root system subsystem distributes the moisture sensing detection contacts of the crop stem segment sensing detection device between soil layers through the imitation crop root system distribution structure to create a moisture sensing imitation crop root system detection device to obtain farm soil deep sensing detection signals; the moisture sensing imitation crop root system detection device includes: imitation crop root system distribution structure, moisture sensing detection contact soil moisture conduction tentacles and moisture sensing detection Contact stone-proof fence; the imitation crop root distribution structure distributes the soil moisture sensing detection contacts between soil layers by simulating the root distribution of monitored crop types, and conducts the moisture in the soil to the surface of the soil moisture sensing detection contacts through the soil moisture conduction tentacles of the soil moisture sensing detection contacts; the soil moisture sensing detection contacts are isolated from stones or water-blocking objects by the stone-proof fence to prevent stones or water-blocking objects from affecting the moisture detection results; the power supply and moisture detection wireless signal subsystem is powered by a discrete regulated power supply; the farm soil deep sensing detection signal is converted into a moisture detection wireless signal, and wirelessly transmits data with the soil monitoring evaporation analysis subsystem to obtain soil imitation root sensing moisture detection data.

[0064] In one embodiment, the farm soil environment monitoring subsystem includes:

[0065] The farm soil temperature segmented monitoring subsystem divides the soil from the surface to the maximum depth of the crop root distribution into segments according to the set distance. Multiple farm soil temperature sensors are set in each segment to obtain farm soil temperature segmented monitoring data;

[0066] The soil surface air velocity monitoring subsystem selects points where the soil surface and air come into contact, and distributes multiple groups of air velocity detection units to obtain monitoring data on the farm soil surface air velocity.

[0067] The light monitoring farm environment subsystem monitors the farm soil environment light intensity through the light intensity sensor to obtain the farm light intensity monitoring data; summarizes the farm soil temperature segment monitoring data, the farm soil surface air flow velocity monitoring data and the farm light intensity monitoring data to obtain the farm soil environment monitoring data.

[0068] The principle and effect of the above technical solution are as follows: The farm soil environment monitoring subsystem includes:

[0069] The farm soil temperature segmented monitoring subsystem divides the soil from the surface to the maximum depth of the crop root distribution into segments according to the set distance. Multiple farm soil temperature sensors are set in each segment to obtain farm soil temperature segmented monitoring data;

[0070] Soil surface air velocity monitoring subsystem, at the position where the farm soil surface contacts the air, multiple groups of air velocity detection units are distributed at selected points to obtain the monitoring data of the air velocity on the farm soil surface;

[0071] Farm environment light monitoring subsystem, monitors the light intensity of the farm soil environment through a light intensity sensor to obtain the farm light intensity monitoring data; aggregates the segmented monitoring data of the farm soil temperature, the monitoring data of the air velocity on the farm soil surface, and the monitoring data of the farm light intensity to obtain the farm soil environment monitoring data;

[0072] Calculate the root distribution of crops and the root mean square error value of the simulation:

[0073]

[0074] Among them, Cgsw represents the root mean square error value of the crop root distribution and the simulation; GSWk represents the k-th crop root distribution monitoring value; PGWk represents the k-th crop root distribution simulation value; k represents the k-th crop root distribution; M represents the number of all selected crop root distributions for monitoring; by calculating the root mean square error value of the crop root distribution and the simulation, the deviation between the crop root distribution simulation value and the crop root distribution monitoring value can be further measured. The smaller the calculation result, the smaller the deviation between the crop root distribution simulation value and the crop root distribution monitoring value; by continuously increasing and cycling to calculate and adjust the root mean square error value of the crop root distribution and the simulation, the deviation between the crop root distribution simulation value and the crop root distribution monitoring value can be significantly reduced.

[0075] In one embodiment, the soil quality monitoring evaporation analysis subsystem includes:

[0076] Soil quality block and layer monitoring subsystem, divides the farm monitoring area into initial farm blocks according to the set area, sets grid points in the farm initial block farm monitoring area for grid point soil quality sampling detection to obtain grid point soil quality sampling detection data; performs soil quality block and layer setting according to the grid point soil quality sampling detection data to obtain farm soil quality block and layer monitoring data;

[0077] Soil evaporation relationship subsystem, establishes the relationship between the farm soil quality monitoring data and the soil water evaporation according to the soil pseudo-root sensing moisture detection data, the farm soil environment monitoring data, and the farm soil quality block and layer monitoring data;

[0078] Evaporation rate analysis subsystem, analyzes the evaporation rate of the farm soil quality block and layer according to the relationship between the farm soil quality monitoring data and the soil water evaporation.

[0079] The principles and effects of the above technical solution are as follows: The soil monitoring evaporation analysis subsystem, through the soil block and layer monitoring subsystem, initially divides the farm monitoring area into blocks according to the set area, sets grid points in the initially divided farm monitoring area for grid point soil sampling detection, and obtains grid point soil sampling detection data; performs soil block and layer setting based on the grid point soil sampling detection data to obtain farm soil block and layer monitoring data; sets the grids with grid point soil sampling detection data within the set first soil data range as the first soil blocks; sets the grids with grid point soil sampling detection data within the set second soil data range as the second soil blocks; respectively performs layered soil detection on the first soil blocks and the second soil blocks to obtain the first-layer detection data of the first soil blocks, the second-layer detection data of the first soil blocks, the third-layer detection data of the second soil blocks, and the fourth-layer detection data of the second soil blocks; obtains farm soil block and layer monitoring data; the soil evaporation relationship subsystem establishes the relationship between the farm soil quality monitoring data and the soil moisture evaporation based on the soil pseudo-root sensing moisture detection data, the farm soil environment monitoring data, and the farm soil block and layer monitoring data; the evaporation rate analysis subsystem analyzes the layered evaporation rate of the farm soil quality blocks based on the relationship between the farm soil quality monitoring data and the soil moisture evaporation.

[0080] In one embodiment, the farm soil moisture prediction subsystem includes:

[0081] The moisture detection content conversion subsystem creates a three-dimensional trend model of the farm soil evaporation rate by soil block and layer based on the layered evaporation rate of the farm soil quality.

[0082] The moisture content evaporation state subsystem converts the farm soil moisture detection data into soil moisture content data points, performs cyclic training error correction on the three-dimensional trend model of the farm soil evaporation rate by soil block and layer, and obtains a three-dimensional error-eliminating prediction model of the farm soil by soil block and layer.

[0083] The soil moisture precise prediction subsystem precisely predicts the change in the farm soil moisture content by soil block and layer through the three-dimensional error-eliminating prediction model of the farm soil by soil block and layer according to the real-time monitored moisture content evaporation state.

[0084] The principle and effects of the above technical solution are as follows: For the farm soil moisture prediction subsystem, through the moisture detection content conversion subsystem, a three-dimensional trend model of the soil evaporation rate by soil quality block and layer is created according to the evaporation rate of the farm soil by soil quality block and layer; the moisture content evaporation state subsystem converts the farm soil moisture detection data into soil moisture content data points, performs cyclic training error correction on the three-dimensional trend model of the soil evaporation rate by soil quality block and layer of the farm soil, and obtains a three-dimensional error elimination prediction model of the farm soil by soil quality block and layer; the soil moisture precise prediction subsystem precisely predicts the change of the farm soil moisture content by block and layer according to the real-time monitored moisture content evaporation state through the three-dimensional error elimination prediction model of the farm soil by soil quality block and layer; it can precisely predict the change of the farm soil moisture content by block and layer, and greatly increase the precision and detail of the farm soil moisture prediction.

[0085] The present invention provides a soil moisture prediction method based on farm environment monitoring data, including:

[0086] S100, according to the segmented sensing detection of the imitation crop stems, distribute the soil moisture sensing detection contacts through the imitation crop root distribution structure in the soil layers to create a soil moisture sensing imitation crop root detection device, and obtain the soil imitation root sensing moisture detection data;

[0087] S200, set multiple farm soil temperature sensors in segments, and select points to distribute multiple groups of air velocity detection units and illuminance sensors at the positions where the farm soil surface contacts the air to obtain the farm soil environment monitoring data;

[0088] S300, conduct soil sampling detection by block and layer for the farm soil, obtain the farm soil monitoring data by block and layer of soil quality, establish the relationship between the farm soil monitoring data by block and layer of soil quality and the soil moisture evaporation, and analyze the evaporation rate of the farm soil by block and layer of soil quality;

[0089] S400, according to the evaporation rate of the farm soil by block and layer of soil quality, and import the farm soil moisture detection data, obtain a three-dimensional error elimination prediction model of the farm soil by block and layer of soil quality, and precisely predict the change of the farm soil moisture content by block and layer.

[0090] The principles and effects of the above technical solution are as follows: The present invention provides a method for predicting soil moisture based on farm environment monitoring data, including: according to the segmented sensing detection of the crop stem, distributing the soil moisture sensing detection contacts in the soil layers through the root distribution structure of the simulated crop, creating a soil moisture sensing simulated crop root detection device, and obtaining soil simulated root sensing moisture detection data; setting multiple farm soil temperature sensors in segments, selecting points and distributing multiple groups of air velocity detection units and illuminance sensors at the position where the farm soil surface contacts the air, and obtaining farm soil environment monitoring data; conducting block-by-block and layer-by-layer soil sampling detection on the farm soil, obtaining farm soil quality block-by-block and layer-by-layer monitoring data, establishing the relationship between farm soil quality monitoring data and soil moisture evaporation, and analyzing the block-by-block and layer-by-layer evaporation rate of farm soil quality; according to the block-by-block and layer-by-layer evaporation rate of farm soil quality, importing the farm soil moisture detection data, obtaining a three-dimensional error elimination prediction model for the block-by-block and layer-by-layer farm soil quality, and accurately predicting the change of farm soil moisture content block by block and layer by layer; setting multiple soil moisture sensing units from the deep layer of the soil, numbering each soil moisture sensing unit, and creating a segmented sensing detection device for the simulated crop stem; distributing the soil moisture sensing detection contacts of the segmented sensing detection device for the simulated crop stem in the soil layers through the root distribution structure of the simulated crop, creating a soil moisture sensing simulated crop root detection device, and obtaining the deep layer sensing detection signal of the farm soil; supplying power to the system through a discrete regulated power supply; converting the deep layer sensing detection signal of the farm soil into a moisture detection wireless signal, and performing wireless data transmission with the soil quality monitoring evaporation analysis subsystem to obtain soil simulated root sensing moisture detection data; segmenting at a set distance from the soil surface to the maximum depth layer of the crop root distribution, setting multiple farm soil temperature sensors in segments, and obtaining the segmented monitoring data of the farm soil temperature; at the position where the farm soil surface contacts the air, selecting points and distributing multiple groups of air velocity detection units to obtain the monitoring data of the air velocity on the farm soil surface; monitoring the illuminance of the farm soil environment through an illuminance sensor to obtain the farm illuminance monitoring data; summarizing the segmented monitoring data of the farm soil temperature, the monitoring data of the air velocity on the farm soil surface, and the farm illuminance monitoring data to obtain the farm soil environment monitoring data; initially dividing the farm monitoring area into blocks according to a set area, setting grid points in the initially divided farm monitoring area for grid point soil sampling detection, and obtaining grid point soil sampling detection data; performing soil quality block-by-block and layer-by-layer setting according to the grid point soil sampling detection data to obtain farm soil quality block-by-block and layer-by-layer monitoring data; establishing the relationship between farm soil quality monitoring data and soil moisture evaporation according to the soil simulated root sensing moisture detection data, the farm soil environment monitoring data, and the farm soil quality block-by-block and layer-by-layer monitoring data; analyzing the block-by-block and layer-by-layer evaporation rate of farm soil quality according to the relationship between farm soil quality monitoring data and soil moisture evaporation; creating a three-dimensional trend model for the block-by-block and layer-by-layer evaporation rate of farm soil quality according to the block-by-block and layer-by-layer evaporation rate of farm soil quality;Convert the farm soil moisture detection data into soil moisture content data points, perform cyclic training error correction on the three-dimensional trend model of the soil evaporation rate and soil quality block and layer of the farm, and obtain the three-dimensional error-eliminating prediction model of the farm soil quality block and layer; according to the real-time monitored moisture content evaporation state, through the three-dimensional error-eliminating prediction model of the farm soil quality block and layer, accurately predict the change of the farm soil moisture content block by block and layer; greatly increase the accuracy and detail of the farm soil moisture prediction.

[0091] In one embodiment, S100 includes:

[0092] S101, set multiple soil moisture sensors in the deep soil, number each soil moisture sensor, and create a sensing detection device imitating the segmented stems of crops;

[0093] S102, distribute the moisture sensor detection contacts of the sensing detection device imitating the segmented stems of crops in the soil layers through the root distribution structure of the imitated crops, create a moisture sensor imitating the root detection device of crops, and obtain the deep soil sensing detection signal of the farm;

[0094] S103, supply power to the system through a discrete regulated power supply; convert the deep soil sensing detection signal of the farm into a moisture detection wireless signal, and perform wireless data transmission with the soil quality monitoring evaporation analysis subsystem to obtain the soil root-sensing moisture detection data.

[0095] The principle and effect of the above technical solution are: set multiple soil moisture sensors in the deep soil, number each soil moisture sensor, and create a sensing detection device imitating the segmented stems of crops; distribute the moisture sensor detection contacts of the sensing detection device imitating the segmented stems of crops in the soil layers through the root distribution structure of the imitated crops, create a moisture sensor imitating the root detection device of crops, and obtain the deep soil sensing detection signal of the farm; the moisture sensor imitating the root detection device of crops includes: the root distribution structure of the imitated crops, the moisture conduction whiskers of the moisture sensor detection contacts in the soil, and the stone-proof grid of the moisture sensor detection contacts; the root distribution structure of the imitated crops distributes the moisture sensor detection contacts in the soil layers by simulating the root distribution of the monitored crop types, and conducts the moisture in the soil to the surface of the moisture sensor detection contacts through the moisture conduction whiskers of the moisture sensor detection contacts in the soil; isolate the stones or water-blocking substances in the soil from the moisture sensor detection contacts through the stone-proof grid of the moisture sensor detection contacts to prevent the stones or water-blocking substances from affecting the moisture detection results; supply power to the system through a discrete regulated power supply; convert the deep soil sensing detection signal of the farm into a moisture detection wireless signal, and perform wireless data transmission with the soil quality monitoring evaporation analysis subsystem to obtain the soil root-sensing moisture detection data.

[0096] In one embodiment, S200 includes:

[0097] S201, dividing the distance from the soil surface to the maximum depth of the crop root distribution into sections according to a set distance, setting multiple farm soil temperature sensors in each section, and obtaining farm soil temperature monitoring data for each section;

[0098] S202, distributing multiple groups of air velocity detection units at selected locations where the farm soil surface contacts the air, to obtain monitoring data on the air velocity of the farm soil surface;

[0099] S203, monitor the farm soil environment light intensity through the light intensity sensor to obtain the farm light intensity monitoring data; summarize the farm soil temperature segment monitoring data, the farm soil surface air flow velocity monitoring data and the farm light intensity monitoring data to obtain the farm soil environment monitoring data.

[0100] The principle and effect of the above technical solution are:

[0101] The distance from the soil surface to the maximum depth of the crop root distribution is divided into sections according to the set distance. Multiple farm soil temperature sensors are set in each section to obtain farm soil temperature segment monitoring data;

[0102] At the contact points between the farm soil surface and the air, multiple groups of air velocity detection units are distributed and set up to obtain monitoring data of the farm soil surface air velocity;

[0103] Monitor the farm soil environment light intensity through light intensity sensors to obtain farm light intensity monitoring data; summarize farm soil temperature segmentation monitoring data, farm soil surface air velocity monitoring data and farm light intensity monitoring data to obtain farm soil environment monitoring data;

[0104] Calculate the root mean square error between crop root distribution and simulation:

[0105]

[0106] Among them, Cgsw represents the root mean square error value between crop root distribution and simulation, GSWk represents the kth crop root distribution monitoring value, PGWk represents the kth crop root distribution simulation value, k represents the kth crop root distribution, and M represents the number of all selected monitored crop root distributions; by calculating the root mean square error value between crop root distribution and simulation, the deviation between crop root distribution simulation value and crop root distribution monitoring value can be further measured; the smaller the calculation result, the smaller the deviation between crop root distribution simulation value and crop root distribution monitoring value; by continuously increasing the cycle calculation to adjust the root mean square error value between crop root distribution and simulation, the deviation between crop root distribution simulation value and crop root distribution monitoring value can be greatly reduced.

[0107] In one embodiment, S300 includes:

[0108] S301. Initially divide the farm monitoring area into initial farm blocks according to a set area. Set grid points in the initially divided farm monitoring area for soil sampling detection at the grid points to obtain soil sampling detection data at the grid points; perform soil block and layer setting based on the soil sampling detection data at the grid points to obtain farm soil block and layer monitoring data;

[0109] S302. Based on the soil moisture detection data of the soil imitation root sensor, the farm soil environment monitoring data, and the farm soil block and layer monitoring data, establish the relationship between the farm soil quality monitoring data and soil moisture evaporation;

[0110] S303. Analyze the evaporation rate of the farm soil block and layer according to the relationship between the farm soil quality monitoring data and soil moisture evaporation.

[0111] The principle and effect of the above technical solution are as follows: Initially divide the farm monitoring area into initial farm blocks according to a set area. Set grid points in the initially divided farm monitoring area for soil sampling detection at the grid points to obtain soil sampling detection data at the grid points; perform soil block and layer setting based on the soil sampling detection data at the grid points to obtain farm soil block and layer monitoring data; set the grids with soil sampling detection data at the grid points within the set first soil data range as the first soil blocks; set the grids with soil sampling detection data at the grid points within the set second soil data range as the second soil blocks; perform layered soil detection on the first soil blocks and the second soil blocks respectively to obtain the first-layer detection data of the first soil blocks, the second-layer detection data of the first soil blocks, the third-layer detection data of the second soil blocks, and the fourth-layer detection data of the second soil blocks; obtain the farm soil block and layer monitoring data; based on the soil moisture detection data of the soil imitation root sensor, the farm soil environment monitoring data, and the farm soil block and layer monitoring data, establish the relationship between the farm soil quality monitoring data and soil moisture evaporation; analyze the evaporation rate of the farm soil block and layer according to the relationship between the farm soil quality monitoring data and soil moisture evaporation.

[0112] In one embodiment, S400 includes:

[0113] S401. Create a three-dimensional trend model of the farm soil evaporation rate for soil block and layer according to the evaporation rate of the farm soil block and layer;

[0114] S402. Convert the farm soil moisture detection data into soil moisture content data points, and perform cyclic training error correction on the three-dimensional trend model of the farm soil evaporation rate for soil block and layer to obtain a three-dimensional error-eliminating prediction model of the farm soil block and layer;

[0115] S403. Based on the real-time monitored evaporation state of the moisture content, the change of the soil moisture content on the farm is accurately predicted layer by layer and block by block through the three-dimensional error elimination prediction model for the farm soil quality divided into blocks and layers.

[0116] The principle and effect of the above technical solution are as follows: Based on the evaporation rate of the farm soil quality divided into blocks and layers, a three-dimensional trend model of the evaporation rate of the farm soil quality divided into blocks and layers is created; the farm soil moisture detection data is converted into soil moisture content data points, and the three-dimensional trend model of the evaporation rate of the farm soil quality divided into blocks and layers is cyclically trained for error correction to obtain a three-dimensional error elimination prediction model for the farm soil quality divided into blocks and layers; based on the real-time monitored evaporation state of the moisture content, the change of the soil moisture content on the farm is accurately predicted layer by layer and block by block through the three-dimensional error elimination prediction model for the farm soil quality divided into blocks and layers; it can accurately predict the change of the soil moisture content on the farm layer by layer and block by block; greatly increase the accuracy and detail of the farm soil moisture prediction.

[0117] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and embodiments. It can be fully applied to various fields suitable for the present invention. For those familiar with the field, additional modifications can be easily made. Therefore, without departing from the general concept defined by the claims and the equivalent scope, the present invention is not limited to the specific details and the illustrated examples described herein.

Claims

1. The soil moisture prediction system based on farm environmental monitoring data is characterized by: include: The soil imitation root system sensing moisture detection subsystem, based on the imitation crop stem segment sensing detection, distributes the moisture sensing detection contacts among the soil layers through the imitation crop root system distribution structure, creates a moisture sensing imitation crop root system detection device, and obtains soil imitation root system sensing moisture detection data; The farm soil environment monitoring subsystem is equipped with multiple farm soil temperature sensors in sections, and multiple groups of air velocity detection units and light intensity sensors are distributed at points where the farm soil surface contacts the air to obtain farm soil environment monitoring data; The soil quality monitoring and evaporation analysis subsystem conducts soil quality sampling and detection in blocks and layers on the farm, obtains monitoring data on the farm soil quality in blocks and layers, establishes the relationship between the farm soil quality monitoring data and soil moisture evaporation, and analyzes the evaporation rate of the farm soil quality in blocks and layers; The farm soil moisture prediction subsystem uses the evaporation rate of farm soil blocks and layers and imports farm soil moisture detection data to obtain a three-dimensional difference prediction model for farm soil blocks and layers, accurately predicting changes in farm soil moisture content by block and layer; The soil moisture sensing simulated crop root detection device includes: a simulated crop root distribution structure, soil moisture conductive tentacles of the soil moisture sensing detection contacts, and a soil moisture sensing detection contact anti-stone fence; the simulated crop root distribution structure distributes the soil moisture sensing detection contacts between soil layers by simulating the root distribution of the monitored crop type, and conducts moisture in the soil to the surface of the soil moisture sensing detection contacts through the soil moisture conductive tentacles of the soil moisture sensing detection contacts; the soil moisture sensing detection contacts are isolated from stones or water barriers by the soil moisture sensing detection contacts anti-stone fence to prevent stones or water barriers from affecting the moisture detection results; the power supply and moisture detection wireless signal subsystem is powered by a discrete regulated power supply; the farm soil deep sensing detection signal is converted into a moisture detection wireless signal, and wirelessly transmits the data with the soil quality monitoring evaporation analysis subsystem to obtain soil simulated root sensing moisture detection data; Farm soil moisture prediction subsystem, including: The moisture detection content conversion subsystem creates a three-dimensional trend model of farm soil evaporation rate and soil quality block and layer based on the evaporation rate of farm soil; The moisture content evaporation state subsystem converts farm soil moisture detection data into soil moisture content data points, performs cyclic training error correction on the farm soil evaporation rate and soil quality block and stratification three-dimensional trend model, and obtains the farm soil quality block and stratification three-dimensional error elimination prediction model; The soil moisture precision prediction subsystem monitors the evaporation status of moisture content in real time and uses a three-dimensional difference prediction model for farm soil block and layering to accurately predict changes in farm soil moisture content by block and layer.

2. The soil moisture prediction system based on farm environment monitoring data according to claim 1, characterized in that: Soil root-like sensor moisture detection subsystem, including: The deep soil moisture sensing subsystem sets up multiple soil moisture sensing units from the deep soil layer, and numbers each soil moisture sensing unit to create a segmented sensing detection device that simulates the stem of a crop; The soil moisture sensing simulated crop root system subsystem distributes the soil moisture sensing detection contacts of the simulated crop stem segmented sensing detection device among the soil layers through the simulated crop root system distribution structure, creating a soil moisture sensing simulated crop root system detection device to obtain deep soil sensing detection signals on the farm; The power supply and moisture detection wireless signal subsystem is powered by a discrete regulated power supply. It converts the farm soil deep sensing detection signal into a moisture detection wireless signal, and wirelessly transmits data with the soil monitoring and evaporation analysis subsystem to obtain soil root-simulated sensing moisture detection data.

3. The soil moisture prediction system based on farm environment monitoring data according to claim 1, characterized in that: Farm soil environment monitoring subsystem, including: The farm soil temperature segmented monitoring subsystem divides the soil from the surface to the maximum depth of the crop root distribution into segments according to the set distance. Multiple farm soil temperature sensors are set in each segment to obtain farm soil temperature segmented monitoring data; The soil surface air velocity monitoring subsystem selects points where the soil surface and air come into contact, and distributes multiple groups of air velocity detection units to obtain monitoring data on the farm soil surface air velocity. The light monitoring farm environment subsystem monitors the farm soil environment light intensity through the light intensity sensor to obtain the farm light intensity monitoring data; summarizes the farm soil temperature segment monitoring data, the farm soil surface air flow velocity monitoring data and the farm light intensity monitoring data to obtain the farm soil environment monitoring data.

4. The soil moisture prediction system based on farm environment monitoring data according to claim 1, characterized in that: Soil quality monitoring and evaporation analysis subsystem, including: The soil quality block and layer monitoring subsystem divides the farm monitoring area into initial blocks according to the set area, sets grid points in the farm monitoring area of the initial blocks to conduct grid point soil quality sampling detection, and obtains grid point soil quality sampling detection data; sets soil quality blocks and layers based on the grid point soil quality sampling detection data, and obtains farm soil quality block and layer monitoring data; The soil evaporation relationship subsystem establishes the relationship between farm soil quality monitoring data and soil moisture evaporation based on soil root-based sensor moisture detection data, farm soil environment monitoring data, and farm soil block and layer monitoring data; The evaporation rate analysis subsystem analyzes the evaporation rate of farm soil blocks and layers based on the relationship between farm soil quality monitoring data and soil moisture evaporation.

5. A soil moisture prediction method based on farm environmental monitoring data, characterized in that: include: S100, based on the segmented sensing detection of simulated crop stems, soil moisture sensing detection contacts are distributed among soil layers through a simulated crop root distribution structure to create a soil moisture sensing simulated crop root detection device, and soil simulated root sensing moisture detection data is obtained; S200: Multiple farm soil temperature sensors are installed in sections, and multiple groups of air velocity detection units and light intensity sensors are distributed at selected points where the farm soil surface contacts the air to obtain farm soil environment monitoring data. S300: Perform soil sampling and detection on farm soil in blocks and layers, obtain monitoring data on farm soil quality in blocks and layers, establish a relationship between farm soil quality monitoring data and soil water evaporation, and analyze the evaporation rate of farm soil quality in blocks and layers; S400, based on the evaporation rate of farm soil blocks and layers and importing farm soil moisture detection data, obtains a three-dimensional error prediction model for farm soil blocks and layers, and accurately predicts changes in farm soil moisture content by block and layer; The soil moisture sensing simulated crop root detection device includes: a simulated crop root distribution structure, soil moisture conductive tentacles of the soil moisture sensing detection contacts, and a soil moisture sensing detection contact anti-stone fence; the simulated crop root distribution structure distributes the soil moisture sensing detection contacts between soil layers by simulating the root distribution of the monitored crop type, and conducts moisture in the soil to the surface of the soil moisture sensing detection contacts through the soil moisture conductive tentacles of the soil moisture sensing detection contacts; the soil moisture sensing detection contacts are isolated from stones or water barriers by the soil moisture sensing detection contacts anti-stone fence to prevent stones or water barriers from affecting the moisture detection results; the power supply and moisture detection wireless signal subsystem is powered by a discrete regulated power supply; the farm soil deep sensing detection signal is converted into a moisture detection wireless signal, and wirelessly transmits the data with the soil quality monitoring evaporation analysis subsystem to obtain soil simulated root sensing moisture detection data; S400, including: S401, creating a three-dimensional trend model of farm soil evaporation rate based on the farm soil evaporation rate. S402, converting the farm soil moisture detection data into soil moisture content data points, performing cyclic training error correction on the farm soil evaporation rate and soil quality block and stratification three-dimensional trend model, and obtaining the farm soil quality block and stratification three-dimensional error elimination prediction model; S403, based on the real-time monitoring of the evaporation status of the water content, the farm soil moisture content change is accurately predicted by block and layer through the farm soil block and layer three-dimensional difference prediction model.

6. The soil moisture prediction method based on farm environment monitoring data according to claim 5, characterized in that: S100, including: S101, setting up multiple soil moisture sensing units from the deep soil layer, and numbering each soil moisture sensing unit to create a crop stem segmented sensing detection device; S102, distributing the soil moisture sensing detection contacts of the crop stem segmented sensing detection device among the soil layers through the crop root distribution structure, thereby creating a soil moisture sensing and crop root detection device, and obtaining a deep soil sensing detection signal on the farm; S103, powering the system through a discrete regulated power supply; converting the farm soil deep layer sensing detection signal into a moisture detection wireless signal, and wirelessly transmitting the data with the soil quality monitoring evaporation analysis subsystem to obtain soil simulated root system sensing moisture detection data.

7. The soil moisture prediction method based on farm environment monitoring data according to claim 5, characterized in that: S200, including: S201, dividing the distance from the soil surface to the maximum depth of the crop root distribution into sections according to a set distance, setting multiple farm soil temperature sensors in each section, and obtaining farm soil temperature monitoring data for each section; S202, distributing multiple groups of air velocity detection units at selected locations where the farm soil surface contacts the air, to obtain monitoring data on the air velocity of the farm soil surface; S203, monitor the farm soil environment light intensity through the light intensity sensor to obtain the farm light intensity monitoring data; summarize the farm soil temperature segment monitoring data, the farm soil surface air flow velocity monitoring data and the farm light intensity monitoring data to obtain the farm soil environment monitoring data.

8. The soil moisture prediction method based on farm environment monitoring data according to claim 5, characterized in that: S300, including: S301, initially dividing the farm monitoring area into blocks according to a set area, setting grid points in the farm monitoring area of the initial blocks to perform grid point soil sampling and detection, and obtaining grid point soil sampling and detection data; setting soil blocks and layers based on the grid point soil sampling and detection data, and obtaining farm soil block and layer monitoring data; S302, establishing a relationship between the farm soil quality monitoring data and soil moisture evaporation based on the soil root system sensor moisture detection data, the farm soil environment monitoring data, and the farm soil quality block and layer monitoring data; S303, analyzing the evaporation rate of farm soil blocks and layers based on the relationship between farm soil quality monitoring data and soil moisture evaporation.

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