41 results about "Soil scientist" patented technology

The invention discloses a farmland soil acidification space-time sequence data construction and trend diagnosis method, and relates to the technical field of soil science, the method comprises the following steps: collecting space and time observation data of a soil pH value, and carrying out data cleaning and space-time grid construction; calculating a space-time empirical variation function according to the collected data, and quantifying a space-time law of soil acidification; a spatial-temporal variation function is constructed through a separable model and a measurement model, and parameters are optimized to realize high-precision fitting; constructing a uniform space-time grid, and predicting spatial distribution and time change of soil acidification based on a space-time Kriging interpolation technology; according to the method, the significance and sustainability of soil acidification are identified by utilizing trend analysis and Hurst indexes, and the method can efficiently and accurately evaluate the spatial and temporal change of soil acidification and provide a scientific basis for agricultural management.

The invention discloses a method and a system for detecting metabolism kinetics of organic carbon and microbial carbon in deep soil, and relates to the technical field of soil science and environmental science. Comprising the following steps: acquiring the content and structural characteristics of organic carbon in the soil of the rice field, and determining the composition, function and dynamic response mechanism of microbial communities to environmental change; setting a control group and a treatment group, and obtaining soil organic carbon reserve change rates, CO2 emissions and influence factors in the control group and the treatment group at different time points; and constructing a data analysis model according to the soil organic carbon reserve change rate, CO2 emission and influence factors in the control group and the treatment group at different time points, and generating a comprehensive report of deep soil organic carbon and microbial carbon metabolism kinetics. According to the invention, a scientific basis is provided for optimizing agricultural management and coping with climate change, the positive influence of biomass charcoal addition on soil health is disclosed, and the development of sustainable agriculture is promoted.

The invention discloses a soil three-dimensional pore structure feature distribution rule comprehensive index construction method. Relates to the technical field of crossing of soil science and computer technology, in particular to the technical field of analyzing soil three-dimensional pore structure feature distribution rules by constructing comprehensive indexes. According to the method, the three-dimensional pore structure feature distribution rule index is constructed based on the three-dimensional Minkowski functional estimation value, and key parameters such as soil porosity, specific surface area and connectivity can be comprehensively and visually reflected. The method comprises the following steps: obtaining a binarized image and carrying out the preprocessing of the binarized image; cutting the pixel matrix data set to obtain a representative basic volume data set of the soil pore structure; the Minkowski functional estimation value in the three-dimensional space is calculated; analyzing Minkowski functional estimation values on the basis of skewness and kurtosis characteristics in statistics; and based on the pore structure distribution characteristic parameters of different soil types, constructing a three-dimensional pore structure characteristic distribution rule index.

The invention relates to the technical field of man-machine interaction, in particular to a soil science exhibition and interactive experience integrated system which comprises the steps that a dynamic change curve of the carbon release rate of a soil sample is captured; detecting the dynamic change of the isotope in the decomposition process through a mass spectrometer, and generating carbon decomposition path data; adopting a machine learning algorithm to construct a soil carbon sink prediction model of the soil carbon sink capacity; a user is supported to input different environmental parameters to predict carbon fixation and carbon release of soil in future time; the whole process from plant residue decomposition to carbon storage to carbon release is displayed; through a visual interface, a user is supported to adjust environmental parameters through gesture interaction, and dynamic changes of carbon circulation under different environmental conditions are observed; according to the invention, layered dynamic display and interactive dynamic response of soil carbon circulation are realized, a complex carbon circulation process is concrete, and a brand new mode is provided for scientific exhibition, education and scientific research application of soil.

The invention relates to the technical field of soil science, and discloses a loess plateau special soil-based mine ecological restoration modifier which is prepared by the following steps: mixing a biological material and an inorganic material to form a biological-physical compound; inoculating specific microorganisms which are subjected to multi-layer packaging into the compound; organic matters and inorganic matters are fixed by utilizing a cross-linked polymer network to form a multi-layer structure; performing intelligent responsive coating treatment on the modifier particles; the prepared modifier is subjected to laboratory and field tests to verify the adaptability and effect of the modifier, and the biological-physical compound is prepared by mixing a local organic material with a certain water content with nano-modified bentonite according to a mixing ratio of 3: 1. By integrating the functionalized nanoparticles, a microbial packaging technology and an intelligent responsive coating, the soil water-retaining property, the nutrient utilization rate and the biological diversity are improved. The design ensures the stability and the lasting effect in an extreme environment, and meanwhile, continuous and efficient ecological restoration is realized.

The invention relates to the field of soil science, in particular to an agricultural ecological soil quality category designation method based on machine learning, and the method comprises the steps: obtaining a soil physicochemical property evaluation coefficient of each land sub-region through soil physicochemical property parameters of each land sub-region; the soil pollution index evaluation coefficient of each land sub-region is obtained through the soil pollution index of each land sub-region, so that the soil quality evaluation index of each land sub-region is obtained through analysis, and the environmental influence evaluation coefficient of soil is obtained through analysis by obtaining local environmental parameters. According to the soil quality evaluation index of each land sub-region and the environmental influence evaluation coefficient of the soil, the comprehensive evaluation index of the soil of each land sub-region is obtained through analysis, and the land sub-regions are graded, so that accurate soil quality information can be provided for agricultural production, and the agricultural production efficiency and sustainability are improved.

The present invention belongs to the field of soil science and technology and provides a method and application for evaluating the nonlinear evolution path and characteristics of regional soil organic carbon. The method first calculates environmental variable data and soil organic carbon data for each pixel in the region based on multi-source remote sensing image data. Then, a self-organizing map network is used to classify the state of soil organic carbon. The nonlinear evolution path of the soil organic carbon state type is then identified in the constructed state space. Finally, nonlinear characteristics such as hysteresis, resilience, and mutation thresholds are determined based on the nonlinear evolution path of soil organic carbon. The method uses soil organic carbon data from different spatial and temporal locations to reconstruct its nonlinear evolution path, addressing the lack of historical soil organic carbon data. The method also rapidly and accurately quantifies the nonlinear characteristics of the soil organic carbon evolution path, such as hysteresis, resilience, and mutation thresholds, to achieve trend prediction and situation warning for soil organic carbon, thereby serving soil organic carbon management.

The invention discloses a soil column leaching experiment system and a control method thereof, and relates to the field of soil experiment equipment, in the soil column leaching experiment system, soil columns with different soil layers are accommodated in a soil column container at different depths; the intelligent leaching system is connected with the soil column container; the humidity measuring device is arranged in the soil column container; water quality analyzers are arranged at outlets at different depths of the soil column container; the intelligent leaching system, the humidity measuring device and the water quality analyzer are all connected with the data acquisition control system; the data acquisition control system obtains experimental data according to the soil humidity measured by the humidity measuring device and the chemical components of the leaching solution analyzed by the water quality analyzer, and adjusts the current experimental parameters of the intelligent leaching system, so that the soil column leaching process can be simulated and researched, the leaching conditions can be automatically adjusted, and the experimental data can be accurately acquired; and the experiment process is monitored in real time, so that the experiment accuracy and efficiency are improved.

The invention relates to the technical field of soil improvement, and discloses a fiber sponge meson soil improvement base material which is composed of flocculent fibers, a plant nutrient material and a pH value regulator, the volume water absorption rate of the flocculent fibers is larger than or equal to 88%, the permeability is larger than or equal to 7 mm / s, and the acidity coefficient is larger than or equal to 2.0; and reasonable blending can be performed in different regions and different soil types. By applying theories of soil science, biology, ecology and the like, the water retention and fertilizer retention capabilities of original soil are effectively improved, the air permeability and the water permeability are improved, the soil hardening phenomenon is remarkably relieved, the original soil is mixed according to the proportion, outward transportation and back supplement of the soil are reduced, the construction efficiency is improved, and the cost of loading, unloading, transportation and other links is reduced; meanwhile, the burden of construction on the environment is reduced, the improved base material can effectively improve the water management capacity of the sunken greenbelt and the bioretention facility, the phenomenon that accumulated water becomes black and odorous water after raining is reduced, the sponge city construction standard is met, and the manual maintenance requirement and the water resource consumption are reduced.

The invention discloses a rock slope soil sample collection method, and relates to the technical field of geological and soil scientific research, and the method comprises the following steps: 1, preparing before sampling; 2, arranging and collecting sampling points; 3, storing and transporting the soil sample; and 4, sample numbering and file recording. According to the method for collecting the rock slope soil sample, sampling points are reasonably arranged, limitation of a traditional sampling method is avoided, and the representativeness and accuracy of a sampling result are improved; the sampling process is standard, the influence of human factors on the sample is reduced, and the purity and integrity of the sample are ensured; the sample storage and transportation method is scientific, and the stability and the reliability of the sample in the storage and transportation process are ensured; perfect sample archives and databases are established, and powerful support is provided for follow-up analysis and research.

The invention belongs to the technical field of soil science, and provides a regional soil organic carbon nonlinear evolution path and characteristic evaluation method and application, and the method comprises the steps: firstly, calculating environment variable data and soil organic carbon data of each pixel in a region based on multi-source remote sensing image data; classifying the states of the organic carbon in the soil by using a self-organizing mapping network; identifying a nonlinear evolution path of the soil organic carbon state type in the constructed state space; and finally, based on the nonlinear evolution path of the soil organic carbon, determining the hysteresis, toughness, mutation threshold and other nonlinear characteristics. According to the method, the nonlinear evolution path is reconstructed by using the soil organic carbon data in different spaces at the same time, so that the problem that the historical data of the soil organic carbon is relatively lacking is solved, and the hysteresis quality, toughness, mutation threshold and other nonlinear characteristics of the soil organic carbon evolution path are quickly and accurately quantified; trend prediction and situation early warning of the soil organic carbon are realized, so that management of the soil organic carbon is served.

The invention discloses an irrigated area soil salt deposit property exploration method based on cooperation of an unmanned aerial vehicle and a ground penetrating radar, and relates to the field of metrology soil science, and the method comprises the steps: inputting the surface temperature data of a target field into a seasonal frozen soil area soil freezing depth prediction model, outputting the soil freezing depth, and determining a freezing depth change curve; according to the freezing depth change curve, the maximum freezing depth period of the soil in the irrigation area is selected as the optimal exploration time of the ground penetrating radar GPR, and GPR related parameters are determined in combination with the average depth of the local salt deposit layer where the target field parcel is located; the unmanned aerial vehicle is used for conducting topographic survey on the target field within the GPR optimal survey time, and a GPR wiring scheme is determined according to topographic data; on the basis of the wiring scheme and the parameters, performing salt deposit layer character exploration on the target field parcel by using a GPR, and constructing a visual model; the visual model is used for displaying the properties of the salt deposit layer; the properties of the salinized layer comprise the burial depth of the salinized layer and the salt content of the salinized layer. According to the method, the properties of the salinized layer can be accurately analyzed and quantitatively represented.

The invention discloses a method for effectively inhibiting propagation of fruit fly larvae in nutrient soil during arabidopsis thaliana planting, and relates to the related field of soil science. The method comprises the following steps: (1) planting arabidopsis thaliana seedlings; (2) preparing a non-absorbent material; (3) using a non-absorbent material; (4) watering in the tray. Compared with the prior art, the method has the following advantages and positive effects that the non-absorbent material is prepared to maintain the continuous dryness of the surface layer nutrient medium, and fruit flies can be effectively inhibited from breeding on the surface layer of the nutrient soil when the arabidopsis thaliana is planted, so that the arabidopsis thaliana seedlings are prevented from being gnawed by fruit fly larvae and even the whole plant is prevented from being gnawed to die; the outbreak of soil mould on the surface layer can be effectively inhibited, and scientific researchers taking arabidopsis thaliana as experimental materials can be assisted to efficiently cultivate plant materials capable of being used for measuring experimental data in a greenhouse in a labor-saving manner.

The present invention discloses a method and system for detecting deep soil organic carbon and microbial carbon metabolic dynamics, which relates to the fields of soil science and environmental science and technology. The method comprises: obtaining the organic carbon content and structural characteristics in the paddy field soil, and determining the composition, function and dynamic response mechanism of the microbial community to environmental changes; setting up a control group and a treatment group, and obtaining the soil organic carbon storage change rate, CO2 emissions and influencing factors in the control group and the treatment group at different time points; constructing a data analysis model based on the soil organic carbon storage change rate, CO2 emissions and influencing factors in the control group and the treatment group at different time points, and generating a comprehensive report on deep soil organic carbon and microbial carbon metabolic dynamics. The present invention provides a scientific basis for optimizing agricultural management and responding to climate change, and reveals the positive effects of biochar addition on soil health, promoting the development of sustainable agriculture.

The present invention relates to the field of human-computer interaction technology, and specifically to an integrated system for soil science exhibitions and interactive experiences, including: capturing a dynamic change curve of the carbon release rate of soil samples; detecting the dynamic changes of isotopes during the decomposition process through a mass spectrometer to generate carbon decomposition path data; using a machine learning algorithm to construct a soil carbon sequestration prediction model for soil carbon sequestration capacity; supporting users to input different environmental parameters to predict carbon fixation and carbon release in the soil in the future; displaying the entire process from plant residue decomposition to carbon storage and then to carbon release; supporting users to adjust environmental parameters through gesture interaction through a visual interface to observe the dynamic changes of the carbon cycle under different environmental conditions; the present invention realizes a hierarchical dynamic display and interactive dynamic response of the soil carbon cycle, visualizes the complex carbon cycle process, and provides a new model for soil science exhibitions, education, and scientific research applications.

This invention provides a sampling device for municipal landscaping soil testing, comprising a sampling rod, an outer sleeve, and multiple telescopic sampling mechanisms spaced apart along the axial direction. The outer sleeve is slidably fitted over the sampling rod, and the extension or retraction of the sampling spoon in the telescopic sampling mechanism is controlled by sliding the outer sleeve. During sampling, the outer sleeve moves downward to retract the sampling spoon into the groove. After inserting the device into the soil to the target depth, the outer sleeve is lifted to extend the sampling spoon, which then rotates with the sampling rod to excavate soil, achieving simultaneous collection of soil samples at different depths. This device is compact in structure, easy to operate, and can complete multi-layer soil sampling in one operation, avoiding soil disturbance and sample contamination caused by repeated insertion and removal, thus improving sampling efficiency and accuracy. It is particularly suitable for rapid sampling of vertical soil profiles in municipal landscaping, environmental monitoring, and soil science research.

The utility model provides a cutting ring seal box for measuring saturated hydraulic conductivity, which relates to the field of soil detection and soil scientific experiment equipment and comprises a seal box body, a top cover is mounted at the top of the seal box body, a bottom cover is mounted at the bottom of the seal box body, the seal box body, the top cover and the bottom cover are cylindrical, a water inlet is arranged on one side of the top cover, and a water outlet is arranged on the other side of the bottom cover. A water inlet is formed in one side of the bottom cover, a water outlet is formed in one side of the bottom cover, pipe plugs are connected to the water inlet and the water outlet in a clamped mode, the cutting ring sealing box serves as a key accessory for soil saturation hydraulic conductivity measurement and has the remarkable beneficial effects, multiple functions are creatively integrated, and in a traditional mode, the soil saturation hydraulic conductivity measuring device is convenient to use. Different treatment processes and equipment are often needed for soil saturated hydraulic conductivity measurement and soil moisture characteristic curve measurement through a centrifugal machine, however, according to the sealing box, the cutting ring which is used for extracting undisturbed soil can be directly embedded into the box body, a special cutting ring is not needed for sampling and measurement, and the sampling workload is greatly reduced.

The present invention discloses a method for estimating the bulk density of deep soil, which relates to the technical field of soil science data estimation. In the present invention, the soil burial depth, the bulk density of shallow soil, the magnetic susceptibility, and the clay content are collected as input data. The soil compaction model is driven by the soil burial depth and the bulk density of shallow soil to calculate the change in the bulk density of deep soil caused by the overlying soil pressure stress. The soil transformation function is driven by the soil magnetic susceptibility and the clay content to calculate the change in the bulk density of deep soil determined by its own physical properties. The two parts of the bulk density are added together to obtain the estimated value of the bulk density of deep soil. Generally speaking, the present invention constructs a bulk density conceptual model with a certain mechanism. The model has high prediction accuracy, can directly estimate the bulk density of deep soil without parameter data calibration, has a wide range of applications, and helps to provide relatively reliable data support for research in aspects such as soil, hydrology, and ecology.

This invention relates to the field of soil science and environmental testing equipment technology, and particularly to a soil profile collection machine, comprising: a collection machine body, a frame fixedly connected to one side of the collection machine body, a vertically arranged chain drive mechanism mounted on the frame, and a soil profiler detachably connected to the chain drive mechanism via a cover plate. This invention achieves automated and standardized profile collection by driving the detachable soil profiler vertically into the soil via the chain drive mechanism. The soil profiler adopts a trapezoidal wedge-shaped entry design, along with built-in springs and liners, effectively reducing the adsorption force and static friction between the sample side and the inner wall of the outer shell, avoiding potential sample structure damage due to excessive friction. Furthermore, the detachable connection design of the cover plate, hook, and hook on the chain drive mechanism allows for rapid separation and connection of the soil profiler and the drive mechanism, improving the convenience of sample handling.

The application belongs to the technical field of soil science, and discloses a method for analyzing deformation of soil pore structure under uniaxial compaction, which comprises the following steps: collecting a soil sample; performing CT scanning on the soil sample to obtain a first image slice; performing uniaxial compaction on the soil sample, and performing CT scanning on the compacted soil sample to obtain a second image slice; performing image processing on the first image slice and the second image slice to obtain a binary image, and analyzing changes in soil pore characteristic parameters before and after compaction; obtaining a pre-compaction binary image and a post-compaction binary image of biological pores according to the first image slice and the second image slice; and calculating changes in biological pore characteristic parameters before and after compaction according to the pre-compaction binary image and the post-compaction binary image, and evaluating stability of biological pores in the compaction process. The method can quantitatively analyze deformation of soil pore structure under uniaxial compaction.

The invention relates to the technical field of soil science, in particular to a method and device for determining soil components of a to-be-predicted area and a storage medium. Comprising the following steps: inputting image data into an encoder of an image prediction model to obtain a down-sampled feature map, and respectively inputting the down-sampled feature map into a decoder and an attention mechanism module; the decoder performs up-sampling processing on the down-sampled feature map to obtain an up-sampled feature map; the attention mechanism module identifies valid features and invalid features in the down-sampled feature map, and inputs the valid features and the invalid features to the decoder; the decoder fuses the effective features, the invalid features and the up-sampled feature map to obtain a predicted soil feature map of the to-be-predicted region; and determining the soil components of the to-be-predicted region according to the predicted soil feature map, so as to quickly and accurately determine the soil components of the to-be-predicted region, reduce artificial participation, reduce labor cost, and improve identification speed and identification precision.

The invention discloses a method for improving soil fertility and crop growth, and belongs to the technical field of soil science and plant nutrition. According to the method, pig manure biochar is prepared after pig manure is pyrolyzed, the prepared pig manure biochar is added into soil, then escherichia coli bacterial suspension is applied to the soil once a week and is continuously applied for 6-8 weeks, and after treatment through the method, compared with untreated soil, the soil is converted from acidity to neutrality, and the soil has the advantages that the content of the escherichia coli bacterial suspension in the soil is increased; the contents of N, P and K elements in the soil are increased, and the maximum increase rate of total nitrogen is 78.7%; the maximum increase rate of total phosphorus is 218.4%; the maximum increase rate of total potassium is 12.8%; the maximum improvement rate of the soluble organic carbon is 273.6%; the activity of the sucrase in the soil is also remarkably improved, and the maximum improvement rate is 82.1%; crops are planted in the soil subjected to combined treatment of the pig manure biochar and the escherichia coli, so that the growth of the crops can be effectively improved, and the growth is mainly represented by the increase of the plant height and the increase of the fresh weight of the crops.

The invention relates to a one-dimensional double-penetration model construction method considering soil macropore membrane flow characteristics, and belongs to the technical field of hydrological modeling and soil science, and the method comprises the following steps: S1, constructing a control equation of an actual infiltration rate and a macropore channel opening degree; s2, constructing a flux control equation of the soil matrix under the condition of considering the water content of the soil; and S3, under the condition of considering the soil water content, constructing a control equation of the macropore channel flux. According to the model, soil macropore membrane flow characteristics are considered, the conditions of whether macropores are opened and the opening degree are quantified, and the functions of transferring moisture and supplying surrounding matrixes of a soil macropore channel are divided.

The present application relates to the field of soil science, in particular to an agricultural ecological soil quality classification method based on machine learning, wherein the soil physicochemical property evaluation coefficient of each land sub-region is obtained through the soil physicochemical property parameters of each land sub-region, the soil pollution index evaluation coefficient of each land sub-region is obtained through the soil pollution index of each land sub-region, and the soil quality evaluation index of each land sub-region is analyzed and obtained, the environmental impact evaluation coefficient of the soil is analyzed by obtaining the local environmental parameters, the comprehensive evaluation index of the soil of each land sub-region is analyzed according to the soil quality evaluation index and the environmental impact evaluation coefficient of the soil, and the grade of each land sub-region is divided, so that accurate soil quality information can be provided for agricultural production, and the agricultural production efficiency and sustainability are improved.

The invention relates to the technical field of agricultural remote sensing and soil science, in particular to a multi-source fusion hyperspectral soil nutrient remote sensing inversion system. According to the multi-source fusion hyperspectral soil nutrient remote sensing inversion system provided by the invention, through a three-layer architecture of a satellite remote sensing platform (remote sensing satellite), a near-ground air-based platform (unmanned aerial vehicle) and ground sensing equipment, multi-scale soil nutrient monitoring from a region level to a field block level is realized, and the problem of observation blind areas of single satellite data in complex terrains is solved; according to the method, the coverage is improved by more than 40%, meteorological data and topographic data are synchronously acquired, interference of environmental factors such as moisture and illumination on spectral signals is automatically weakened through a dynamic weighting mechanism, the soil organic carbon inversion precision of saline-alkali soil and wet areas is improved by 20%-30% compared with single hyperspectral data, the inversion precision is greatly improved, and the anti-noise capability is remarkably enhanced.

This invention discloses a method for effectively inhibiting the reproduction of fruit fly larvae in the nutrient soil during Arabidopsis thaliana cultivation, relating to the field of soil science. The method includes: ① planting Arabidopsis thaliana seedlings; ② preparation of a non-absorbent material; ③ application of the non-absorbent material; ④ watering in a tray. This invention has the following advantages and positive effects: By preparing a non-absorbent material, this method maintains the continuous dryness of the surface nutrient substrate, effectively inhibiting the reproduction of fruit flies on the surface of the nutrient soil during Arabidopsis thaliana cultivation. This prevents Arabidopsis thaliana seedlings from being eaten by fruit fly larvae, or even the entire plant from being eaten and dying. It also effectively inhibits the outbreak of surface terrestrial fungi, helping researchers using Arabidopsis thaliana as experimental material to efficiently and labor-savingly cultivate plant materials suitable for measuring experimental data in greenhouses.

The invention relates to the field of soil science and agricultural irrigation engineering, in particular to a natural salinized land field moisture salinity accurate control method which includes the steps of ditch surrounding, water distribution and salt adjustment, first drainage and then irrigation, night drainage and towards irrigation and no field drying in the whole process. Rice is planted in the salinized land with the moisture salinity controlled, the row spacing is 20 cm * 20 cm, and two seedlings are planted in each hole; according to the method, ditch surrounding, water distribution and salt regulation, first drainage and second irrigation, night drainage and towards irrigation and no field drying in the whole process are performed in the salted land, and rice is planted in the salted land in which water salinity control is performed, so that the water salinity in the salted land is controlled to be maintained in a specific salinity range; and the method can also be used for exploring the difference between the growth performance and yield formation of the rice varieties in a specific salinity environment, and has important significance on scientific research activities of accurately controlling field moisture salinity to screen salt-tolerant crop varieties and accelerating field screening identification and popularization of salt-tolerant germplasm resources.

The invention relates to the technical field of soil science, and discloses a black land ecological geological information decision-making system and method based on big data fusion, and the system comprises a big data service module which is used for obtaining multi-source data associated with a black land, carrying out the preprocessing of the multi-source data, and constructing a digital black land database; black land big data corresponding to the multi-source data are stored in the digital black land database; the multi-source data comprises geochemical data, remote sensing data, shallow drilling data and geophysical prospecting data; associating the multi-source data with five core components of the black land; the application service module is used for carrying out fusion processing on the black land big data and providing a target service corresponding to the black land ecological geological information decision; the target service at least comprises an ecological geology evaluation service, an ecological monitoring service, an ecological problem identification service, an ecological early warning service and a charting service. According to the scheme, the diversified subject requirements for the ecological geological survey of the black land can be met.

This invention relates to the field of soil science technology, specifically a method for calculating the relative spatial distribution of particulate organic matter and pore structure in CT images, comprising the following steps: S1: performing CT scanning on a soil sample and preprocessing the image to obtain a preprocessed CT image; S2: identifying and segmenting particulate organic matter and pore structure from the preprocessed CT image based on machine learning; S3: calculating the morphological characteristics of the pore structure; S4: calculating the morphological characteristics of the particulate organic matter; S5: analyzing the relative spatial distribution of the particulate organic matter and the pore structure, including calculating the distance distribution from the particulate organic matter to the surface of the pore structure. This invention not only calculates the morphological parameters of the pore structure and organic matter, but also calculates the distribution of particulate organic matter relative to the pore structure, as well as the content of particulate organic matter connected to the pores, enabling a direct characterization of the interaction mechanism between the two.

The application is suitable for the field of soil science and technology, and provides a method for estimating the influence degree of fertilization behavior on soil properties across space and time and related equipment, which comprises the following steps: obtaining initial data of a to-be-predicted area; initializing a farmland grid of the to-be-predicted area, and performing data matching and multi-dimensional clustering partitioning on geographic position data, soil data and meteorological data in the initial data and the farmland grid to obtain a plurality of farmland space-time units corresponding to the to-be-predicted area; constructing a quantitative relationship equation of a planting mode corresponding to each farmland space-time unit for replacing the influence of fertilization behavior on soil properties and performing space-time recursion to determine the influence degree prediction result of the fertilization behavior on the soil properties in each farmland space-time unit of the to-be-predicted area at different time periods, and determining the target global prediction result of the to-be-predicted area according to the influence degree prediction result of all farmland space-time units. The application can realize the estimation of the influence degree of the fertilization behavior on the soil properties in each farmland space-time unit at different target time periods.