690 results about "Soil quality" patented technology

The invention provides a soil fertility quality analysis method and system based on corn planting cultivated land, and relates to the technical field of soil quality analysis and evaluation.The soil fertility quality analysis method comprises the steps that a visible-near infrared spectrum image of a soil sample is collected, reflectivity data of a key wave band is extracted from the spectrum image, and a soil health index and a nutrient balance index are calculated; calculating a soil fertility quality comprehensive score for comprehensively evaluating the soil fertility according to the soil health index, the nutrient balance index and the soil moisture content; comparing the comprehensive score of the soil fertility quality with a preset threshold value, and evaluating the soil fertility; a machine learning model is introduced, historical soil data is trained and predicted, a quality analysis model is constructed based on a random forest algorithm, the trained quality analysis model is put into use, and new data is continuously learned to dynamically adjust and update, so that the soil detection process is simplified, and the soil fertility change can be monitored in real time. And agricultural managers are helped to make scientific decisions.

The invention discloses a farmland soil quality dynamic diagnosis method based on multi-source remote sensing collaborative inversion, and relates to the technical field of agricultural information, and the method comprises the steps: collecting physical and chemical parameters of soil temperature, humidity, pH value, organic matter content, nitrogen phosphorus and potassium concentration and the like in real time through a multi-source sensor network; removing abnormal values by using a data preprocessing algorithm, performing standardization processing, generating a standardized soil parameter set for subsequent climate and management factor correlation analysis, automatically generating a risk early warning signal, pushing the risk early warning signal to an agricultural management decision platform, and completing full-process analysis from data acquisition to decision support; the farmland soil quality dynamic diagnosis method based on multi-source remote sensing collaborative inversion can provide a scientific basis for agricultural management decision, effectively guide farmland management practice, and improve soil quality and agricultural production efficiency.

The invention relates to the technical field of ecological restoration evaluation, in particular to a surface mine ecological restoration effect evaluation method and system.The surface mine ecological restoration effect evaluation method comprises the following steps that based on ecological restoration targets and standards, a decision tree algorithm is adopted, potential evaluation indexes are analyzed and screened, data in the aspects of biological diversity and soil quality are processed, and the evaluation result is obtained; and classifying the data to generate a refined evaluation index system. According to the method, through application of the decision tree algorithm, screening and classification of evaluation indexes are more scientific and systematic, comprehensiveness and pertinence of an evaluation system are ensured, the genetic algorithm and the simulated annealing algorithm are applied, the global optimization capability is introduced in the weight adjustment process, and the evaluation accuracy is improved. The accuracy of weight configuration and the adaptability of an evaluation system are remarkably improved, the long-term and short-term memory network model and the support vector machine are combined, the long-term dependency relationship in ecological restoration effect time sequence data is captured, and the accuracy of future trend prediction and the reliability of a classification result are improved.

The invention discloses a soil quality improvement and microbiological analysis integrated system, and relates to the technical field of soil improvement and microbiological analysis, the system comprises a microbial agent adding module, an organic acid adjusting module, a soil improvement effect monitoring module, a data analysis and processing module and a control and feedback module. According to the invention, high integration of soil improvement and microbiological analysis is realized, the efficiency and effect of soil improvement are improved through real-time monitoring and accurate regulation and control, and the microbial community is comprehensively and dynamically analyzed, so that deep understanding of a microbial action mechanism in the soil improvement process is facilitated, and the soil improvement efficiency and effect are improved. By monitoring succession of microbial community structures, expression changes of functional genes and diversity of carbon source utilization functions, the effects of microorganisms on straw degradation, soil structure improvement and the like are accurately grasped, problems are found in time through an early warning function, improvement measures are adjusted in time, and the stability and sustainability of a soil ecosystem can be effectively maintained.

The invention relates to the technical field of data analysis, and provides a multi-index fused soil quality data analysis method and system, and the method comprises the steps: carrying out the preprocessing, time-space registration and feature extraction through a data obtaining module, forming a heterogeneous feature set, eliminating the time-space splitting problem of multi-source data from the source, and avoiding the analysis deviation caused by data inconsistency; the association fusion module takes a fuzzy Petri network association map and a particle swarm optimization algorithm as a core, constructs a nonlinear index fusion system, ensures that a comprehensive quality index can truly reflect the actual soil quality under the combined action of multiple indexes, and effectively solves the problem that an evaluation result is disjointed from the actual soil state; the portrait optimization module constructs a soil quality portrait to realize deep combination of soil quality analysis and farming guidance, compares farming suggestions with actual operation data, generates an optimization signal to trigger parameter adjustment of a fuzzy Petri network inference rule and a particle swarm optimization algorithm, and ensures the accuracy of analysis and guidance in long-term use.

The invention discloses a soil salinity inversion method, system and device based on multi-mode remote sensing data fusion and a storage medium, and is applied to the technical field of soil quality monitoring, and the method comprises the steps: obtaining radar and optical remote sensing data of a to-be-inverted region of soil salinity, and carrying out the conductivity measurement, and taking the obtained data as an inversion index of the soil salinity; obtaining multi-modal remote sensing features based on radar and optical remote sensing data fusion, optimizing a remote sensing feature combination by combining the radar and optical remote sensing data and based on a random forest algorithm and utilizing a recursive feature elimination method, and performing model performance evaluation on the remote sensing feature combination by adopting cross validation to obtain an optimal remote sensing feature combination; and based on the optimal remote sensing feature combination, constructing and training a soil conductivity prediction model based on a random forest algorithm, and inputting to-be-measured data to the conductivity prediction model after hyper-parameter adjustment to complete soil salinity inversion. According to the method, more accurate inversion of the soil salinity under the interaction influence of a complex environment and human factors is realized.

The invention provides a fine-grained cultivated land protection potential optimization method, medium and system, and belongs to the technical field of cultivated land data processing.The method comprises the steps that firstly, multi-source remote sensing, soil and climate data are obtained, and a basic feature matrix is extracted through multi-dimensional decomposition; then, multi-scale analysis of soil quality features is realized by utilizing a pyramid neural network model, and adaptive fusion is carried out through a feature integration module; and then constructing a contribution degree optimization equation set, comprehensively considering four aspects of benchmark evaluation, space correlation, time sequence evolution and weight balance, realizing accurate evaluation of the cultivated land protection potential, and generating an optimized protection partition scheme. On one hand, the pyramid neural network model overcomes the problem of insufficient feature extraction of a traditional method through multi-scale feature extraction and adaptive fusion; and on the other hand, through multi-dimensional information fusion and dynamic optimization, the contribution degree optimization equation set solves the problem that accurate evaluation of the cultivated land protection potential is difficult to realize in the prior art.

The invention discloses a soil water and salt dynamic monitoring and quality evaluation method based on multispectral remote sensing, and relates to the field of geological monitoring, and the method comprises the steps: carrying out the scattering deviation correction and roughness correction of an observation spectrum through a satellite remote sensing image, an unmanned aerial vehicle multispectral image, a ground sample and meteorological driving data; the soil intrinsic reflectivity, the vegetation coverage component and the salt crusting component are obtained; a water-salt inversion model is established by combining thermal infrared and red edge wave band information, and multi-temporal soil volumetric moisture content and surface salinity index are inverted; by introducing meteorological conditions and vegetation dynamic characteristics, a water-salt coupling partial differential equation and a graph space-time constraint model are constructed, and continuous space-time distribution of soil water content and salinity is obtained; extracting salinity, moisture, vegetation response and soil health indexes, establishing a soil quality comprehensive evaluation model, and outputting high-risk plaques and a treatment priority sequence. The method realizes dynamic monitoring and quality grading evaluation of soil water and salt, and is suitable for saline-alkali soil treatment and ecological restoration.

The invention relates to the technical field of land improvement, in particular to an alginic acid type multifunctional long-acting soil conditioner and a preparation method and application of the alginic acid type multifunctional long-acting soil conditioner. The core particle layer comprises an organic material, nano silicon, calcium magnesium polyphosphate, magnesium hydride, ammonium borate, rhamnose and an adhesive, and the slow release layer comprises clay minerals and alginate; the mass ratio of the clay mineral to the alginate to the organic material to the calcium magnesium polyphosphate to the nano silicon to the magnesium hydride to the ammonium borate to the rhamnose to the binder is controlled within a certain range. The soil conditioner provided by the invention is good in slow release performance, can release effective components durably and slowly, and has multiple effects of improving soil quality, providing nutrition, promoting crop growth, improving resistance and the like; the problems of soil acidification, heavy metal pollution, micro-plastic pollution, pesticide pollution, antibiotic pollution and the like in agricultural production can be effectively solved.

The invention provides an ecological environment evaluation method and device for a coal mine area and a mining area environment evaluation system. The method comprises the steps that a plurality of environmental indexes of a coal mine area are obtained, and the environmental indexes comprise one or more of soil quality, water quality index, vegetation coverage rate, air quality index, noise level, waste water discharge amount, waste gas discharge amount, biodiversity index, heavy metal content and greening coverage area; the relevancy between the environment indexes is obtained, and the relevancy is the changed relevancy degree between any two environment indexes; a first weight coefficient is determined according to the relevancy, and the first weight coefficient and the relevancy are in positive correlation; and performing weighted average at least according to the plurality of environment indexes and the first weight coefficients corresponding to the environment indexes to obtain an evaluation score. According to the scheme, the problem of low accuracy of the evaluation result of the coal mine environment in the prior art is solved.

The invention provides an automatic navigation and positioning method for agricultural equipment, and the method comprises the steps: obtaining the root system residue distribution data of a previous crop and the soil hardening difference, building a correlation model of the crop root system residue distribution and the soil hardening difference, and determining a target tillage depth plan for the sowing of a next crop according to the correlation model; the operation track and depth parameters meeting the soil texture improvement requirements are applied to an automatic navigation and positioning system of agricultural equipment, and the operation process of the agricultural equipment is automatically controlled and dynamically adjusted; and based on the adjusted operation track and depth parameters, analyzing the long-term influence of an automatic navigation and positioning system of agricultural equipment on soil texture improvement in different growing seasons by tracking soil quality indexes, crop yields and root system distribution.

The invention discloses a complex microbial inoculant for coupling straw decomposition and soil carbon sequestration and a preparation method thereof, the complex microbial inoculant can rapidly promote degradation of lignocellulose of straw in soil by compounding bacillus subtilis, bacillus licheniformis, pseudomonas aeruginosa and the like, provides a basic material energy source for activity of soil microorganisms, and has the advantages of simple preparation process and low cost. Meanwhile, corresponding microorganisms achieve long-term storage of organic carbon through humus stabilization and mineral substance combined carbon (MAOC) stabilization, the storage efficiency of the organic carbon is remarkably improved through nano Fe3O4, and under the synergistic effect of all strains in the complex microbial inoculant, the carbon loss of straw returning can be effectively reduced, the carbon immobilization capacity of soil is improved, and the soil quality is improved. The organic carbon content in the soil is increased.

The embodiment of the invention provides an AI analysis method and system applied to land resource investigation, and the method comprises the steps: obtaining the multi-source remote sensing image data of a target region, analyzing the spectrum and texture features of the multi-source remote sensing image data, generating a comprehensive land feature map, obtaining an initial land classification map through a land classification model, and obtaining the initial land classification map. And performing time sequence comparative analysis in combination with historical data to determine a dynamic area of land coverage change and generate a land resource change report. The method further comprises the functions of soil quality evaluation, change area visualization, abnormal area real-time monitoring, land classification model training, classification model adjustment according to user feedback and the like, and the efficiency and accuracy of land resource investigation are improved.

The invention discloses a straw returning deep scarification cultivation regulation and control method based on soil temperature and humidity, and particularly relates to the technical field of cultivation regulation and control. A plurality of soil temperature and humidity sensors and meteorological sensors are arranged in a field, soil temperature and humidity and meteorological environment data are collected in real time, preprocessing and feature extraction are carried out on the data, then a data prediction model is constructed to evaluate the accuracy of monitoring data, and if the accuracy of the monitoring data is high, the system directly adjusts the operation time and depth; if the accuracy is low, the data acquisition frequency is automatically increased by analyzing the severity of the deviation, so that the monitoring precision and the farming decision are optimized, farming errors caused by misjudgment of the soil humidity are effectively avoided, the farming effect and the crop yield are improved, and meanwhile, the soil quality is improved.

The invention discloses a high-beach difficult land mangrove plant restoration method, and relates to the technical field of wetland ecological restoration. Through the design of the concave planting pits and the improvement technology of the compound matrix, the problems of insufficient tide immersion and soil hardening in existing high beach remediation are solved. According to the method, planting pits with specific sizes are dug, 2 / 3 of original soil is removed, and a composite matrix of a coco coir layer, a humus layer and a crushed soil layer is backfilled, so that the concave microhabitat with the surface layer 10-20 cm lower than the native mud flat is formed. The coco coir layer improves the air permeability of the soil, the humus layer provides organic nutrients, and the crushed soil layer enhances the stability of the root system. The concave structure prolongs the residence time of tidal water, promotes benthic organisms such as crabs to move and improves the soil quality. By means of the method, the survival rate of mangrove plants in the kaolin mud flat at the tail of the pond under the xiamen reaches 85% or above, and the forestation problem caused by high-beach soil hardening and insufficient tide flooding is solved.

The invention discloses a performance optimization integrated learning soil salinity prediction precision improvement method, and belongs to the technical field of soil quality monitoring. The method comprises the following steps: acquiring a first spectral image of to-be-predicted soil; performing feature extraction on the first spectral image to obtain a target spectral feature; inputting the target spectral features into a target soil salinity prediction model to obtain a soil salinity prediction result; the target soil salinity prediction model is obtained by the following steps: testing a plurality of first soil salinity prediction models based on a first soil salinity prediction model test set corresponding to sample soil to obtain a test scoring result of each first soil salinity prediction model; determining at least one second soil salinity prediction model from the plurality of first soil salinity prediction models based on the plurality of test scoring results, and taking the at least one second soil salinity prediction model as a target soil salinity prediction model; the input feature of the first soil salinity prediction model test set is the first spectral feature of the sample soil, and the target variable is the salinity of the sample soil.

The invention provides a park green land vegetation optimization system based on carbon sink capability improvement and a method thereof, relates to the field of urban ecological environment, and aims to improve the carbon sink benefit of a green land through scientific optimization, the system comprises a data acquisition module, a carbon sink evaluation module, a vegetation optimization module and an intelligent monitoring module. The data acquisition module acquires data such as soil quality, climate conditions and vegetation types by using a multi-source sensor; the carbon sequestration evaluation module quantifies the carbon sequestration capacity of the green land through a carbon fixed quantity formula and a carbon storage quantity model; the vegetation optimization module adopts an intelligent optimization algorithm to generate a capability of giving consideration to carbon sink based on the optimization objective function; and the intelligent monitoring module evaluates a green land optimization effect through real-time monitoring data and dynamically adjusts vegetation configuration. The carbon sink optimization method provided by the invention comprises four steps of data acquisition, carbon sink evaluation, vegetation optimization design and dynamic monitoring, and efficient configuration is realized for different green land types by utilizing an accurate model and an optimization algorithm.

The invention provides an annual intercropping green manure planting method suitable for orchards in plateau areas. According to the method, tartary buckwheat and vicia villosa are mainly adopted as green manure plants, and a plurality of key steps of land parcel selection, soil preparation before sowing, variety selection, seed treatment, green manure sowing, plant management, cutting and covering and the like are clearly stipulated. The method can improve the utilization rate of nutrients in the soil, increase the content of organic matters in the soil, improve the soil quality, effectively inhibit growth of weeds between rows and on ridges of the organic apple orchard, reduce the weeding cost, and solve the problem of high labor cost caused by long-term ploughing and weeding of the organic apple orchard in the plateau mountain area of Yunnan province. Excessive dependence on organic fertilizer is effectively relieved, and the method is an annual intercropping mode for comprehensively improving ecological benefits and economic benefits of the orchard.

The invention belongs to the technical field of agricultural fertilizers, and provides a soil remediation fertilizer and a preparation method thereof. The preparation method comprises the following steps: S1, sequentially drying and crushing a natural organic matter material to obtain a pretreated natural organic matter material; s2, mixing the pretreated natural organic matter material, microbial flora, a plant growth regulator, a stabilizer and a slow release agent, and performing fermentation treatment to obtain a compound fertilizer; s3, sequentially drying, granulating and packaging the compound fertilizer to obtain the soil remediation fertilizer. The soil remediation fertilizer provided by the invention can effectively solve the remediation problem of organic matter and heavy metal contaminated soil, improve the soil quality and promote plant growth, and has remarkable environmental protection and agricultural sustainable development benefits.

The invention provides a height optimization system for a trailing suction dredger-mounted energy dissipation device. The optimization system comprises a core parameter input module, a loading process simulation and prediction module, a loading efficiency analysis module, a design optimization output module and an automatic height adjustment module. In the construction process, the height of the energy dissipation device can be automatically and accurately adjusted in real time according to different soil texture and different slurry concentration requirements. The energy dissipation device cannot be too low to cause quick settling coarse particle sediment to block an outlet of the energy dissipation device, and cannot be too high to cause cabin entering water flow to disturb sediment to increase overflow loss of suspended sediment. By accurately controlling the height of the energy dissipation device, the construction efficiency of the trailing suction dredger is improved, meanwhile, the adverse effect of loading overflow on the construction water area environment can be reduced, and the engineering application value is achieved. The height of the energy dissipation device can be automatically and flexibly adjusted, and the loading efficiency and the loading flatness of silt in the cabin are improved by reducing overflow loss.

The invention relates to the technical field of environment monitoring, in particular to an environment monitoring method and system based on multi-source data, and the method comprises the steps: dividing a to-be-monitored region into a plurality of environment monitoring regions, and determining the pore dynamic parameters of the environment monitoring regions to screen pore-enriched regions; constructing a feature vector set according to the pointing similarity of the plurality of wind direction characterization vectors, judging whether an interactive influence region exists, extracting wind power parameters of each feature vector in the feature vector set, and determining a region range of the interactive influence region, and obtaining a water-soil ecological coupling value of the interactive influence area to determine whether to send out an early warning prompt of environment abnormity of the interactive influence area, thereby dynamically adjusting the monitoring key point according to the specific condition of the soil quality in the area in combination with the actual environment influence factor. And the capturing accuracy of the collapse phenomenon in the monitoring area and the reliability of environment monitoring are improved.

The invention discloses a lead-zinc mine ecological restoration method driven by combination of pennisetum purpureum and soil microorganisms. After soil in a to-be-repaired area of a mine is loosened and conditioned, pennisetum purpureum is planted, different microorganisms A and microorganisms B are introduced before and after the pennisetum purpureum is planted respectively, the microorganisms A are composed of metal reducing bacteria and sulfate reducing bacteria, the microorganisms B are composed of heavy metal tolerant microorganisms and symbiotic nitrogen-fixing bacteria, and the heavy metal tolerant microorganisms and the symbiotic nitrogen-fixing bacteria can be obtained through the method that the different microorganisms are introduced in sequence. Heavy metals in the mine soil are transformed and absorbed for multiple times, and ecological restoration of the mine is realized. Through the combined action of microorganisms and plants, accumulation of organic matter in soil can be promoted, the diversity and activity of soil microbial communities can be restored, finally, restoration of a soil ecological system is achieved, in the restoration process, the root system of the pennisetum purpureum can assist in enhancing the structure and permeability of the soil through symbiosis with the microorganisms, and the soil quality is improved. And a foundation is laid for future ecological restoration.

The invention discloses a soil improvement and soil quality optimization comprehensive management method based on big data analysis, and the method comprises the following steps: S1, collecting and preprocessing multi-source soil data, and constructing a soil data input matrix; s2, initializing parameters of the fuzzy C-means clustering model, and constructing a model basic structure; s3, introducing a hosting crab optimization algorithm, and optimizing clustering model parameters; s4, executing clustering analysis, and generating a fuzzy soil type distribution map; s5, constructing an improved strategy scheme space, and fusing crop types, historical records and resource information; s6, making a multi-target scoring standard, and selecting an optimal improvement strategy; s7, deploying an optimal improvement strategy to a farmland operation system, and collecting soil feedback data in real time; and S8, updating model input and parameters based on feedback data, and re-executing optimization to realize a closed loop. According to the invention, big data and an intelligent optimization technology are fused, and accurate matching and efficient configuration of soil improvement strategies are realized.

According to the agriculture-like cultivated land and land humidity monitoring robot and the monitoring method, structurally, a soil turning device, a soil extraction device and a driving wheel device are connected with a driving motor, the driving motor, a camera device and the soil extraction device are in signal connection with a remote control terminal, and the soil turning device is arranged in a front-back telescopic and up-down movable mode relative to a machine body; the soil extraction device is movably arranged up and down relative to the machine body, the camera device is rotationally arranged relative to the machine body and used for monitoring the movement of the robot in real time, and by optimizing robot hardware configuration and sensor layout and integrating multiple sensors and a core control unit, comprehensive and accurate collection of farmland soil key parameters is achieved. And a wireless data transmission and cloud storage system is deployed to ensure real-time and accurate transmission and analysis of data. Artificial intelligence and computer vision technologies are integrated, soil images are processed, features are extracted and classified, and accurate evaluation and prediction of soil quality are achieved.

The invention relates to the technical field of new strains, and provides a new strain which is screened from Xinjiang saline-alkali soil, is classified and named as sphingomonas sp. And is preserved in the China General Microbiological Culture Collection Center (CGMCC), and the preservation number is CGMCCNO.32220. Research finds that the strain can remarkably reduce the soil conductivity, the exchangeable sodium content, the alkalization degree and the total salt content, so that the soil quality is improved. The organic matter content and the acid phosphatase activity of the soil are remarkably improved, and the quality of the saline-alkali soil can be efficiently improved. Meanwhile, the invention provides a compound bacterial fertilizer for effectively improving saline-alkali soil, the compound bacterial fertilizer comprises bacillus subtilis, Exiguobacterium acetylbacter, Bacillus velezensis, Pseudomonas fluorescens, Rhodococcus capsulatus and a new strain Sphingomonas sp., and research finds that compared with a single bacterial solution, the compound bacterial solution has a more prominent remediation effect on saline-alkali soil.

The invention belongs to the technical field of crop planting, and discloses a Yellow River Delta winter wheat salt-tolerant variety screening and cultivated land quality improving method, which comprises the following steps: step 1, indoor culture test, namely influence of different salinity concentrations on winter wheat budding, step 2, field positioning test, and step 3, field positioning test. The invention relates to screening of salt-resistant suitable-growth high-yield varieties of winter wheat in mild saline-alkali cultivated land, and influences of organic materials with different carbon sources on soil quality and crop yield. According to the invention, the physiological status and agronomic traits of the current Yellow River Delta slight saline-alkali soil winter wheat variety in different growth periods are explored, and a theoretical basis is provided for screening the salt-resistant, suitable-to-grow and high-yield winter wheat variety; the influence of different carbon source materials on the physicochemical properties of the saline-alkali soil is analyzed, the microbial enhancement action mechanism in the saline-alkali soil is explored, 4-5 salt-tolerant winter wheat varieties are screened for the theoretical basis for improving the quality and productivity of the saline-alkali soil of the Yellow River delta, the physicochemical properties of the saline-alkali soil are improved, and the soil microbial community structure and diversity are enhanced.

The invention discloses a method for improving saline-alkali soil by using arbuscular mycorrhizal fungus bacterial fertilizer, and relates to the technical field of biology. The arbuscular mycorrhizal fungus bacterial fertilizer comprises a microorganism combination for improving saline-alkali soil, the microbial composition comprises Scopulariopsis brevicaulis (Scopulariopsis brevicaulis), Absidia corymbifera (Absidia corymbifera) and Eurotium chevalieri (Eurotium chevalieri), and is characterized in that the microbial composition comprises Scopulariopsis brevicaulis, Absidia corymbifera and Eurotium chevalieri (Eurotium chevalieri). The method for improving the saline-alkali soil by using the arbuscular mycorrhizal fungus bacterial fertilizer provided by the invention is a green, environment-friendly and efficient soil improvement technology, can effectively improve the physicochemical properties of the saline-alkali soil and improve the soil quality and crop yield, and has wide market prospects and important social significance.

The invention provides a planting and breeding circulation system-oriented soil health assessment method, and relates to the technical field of soil health, and the method comprises the steps: collecting breeding data and planting data in a target planting and breeding circulation region, dividing a planting and breeding circulation mode, and analyzing the influence degree on soil to obtain circulation soil data. Waste supply energy is determined according to the breeding data, and the soil resource utilization efficiency is obtained by analyzing management measures of the planting data. The influence of waste supply energy on soil is analyzed to obtain waste influence data, and a soil health assessment system is constructed in combination with soil resource utilization efficiency, soil physical indexes and ecological function indexes. And calculating a soil health index based on the soil health assessment system and the circulating soil data, and classifying health grades of the soil. According to the method, the accuracy, scientificity and practicability of soil health assessment are improved, and powerful support is provided for optimal management of a planting and breeding circulation system, precise regulation and control of soil quality and agricultural sustainable development.

The invention provides an acid soil conditioner and a preparation method thereof, and belongs to the technical field of soil conditioners. The soil conditioner is prepared from the following raw materials in parts by weight: 30-40 parts of pH-sensitive hydrogel, 3-7 parts of slow-release nitrogen-fixing bacteria microcapsules, 5-8 parts of soil improvement bacteria, 10-20 parts of a chitosan / sodium alginate modified compound, 17-20 parts of fly ash and 18-22 parts of phosphogypsum. According to the prepared acid soil conditioner, the microorganism and chemical improvement effect is adopted, the pH value of soil can be obviously increased, the granular structure of the soil is improved, the buffering capacity of the soil is enhanced, the fertility of the soil is improved, the heavy metal content of the soil is reduced, the quality of the soil is improved, and the crop yield is increased, so that the acid soil conditioner has wide application prospects.

The invention relates to the technical field of data analysis, in particular to a GIS-based land surveying and mapping data analysis system. According to the method, by introducing the multi-layer soil profile data and combining the parameters such as the soil organic matter content, the porosity and the water permeability, layered evaluation is conducted on the soil quality of different depths, soil stability analysis is finer, and the judgment precision of the tillage suitability is improved. In the aspect of farmland infringement and occupation monitoring, vegetation coverage information is extracted by using remote sensing data, and a vegetation reduction area can be accurately identified in combination with an NDVI index and vegetation density change, so that natural degradation and artificial infringement and occupation can be distinguished, and the farmland protection capability is enhanced. In the terrain analysis process, the terrain farming feasibility index is calculated through gradient and elevation changes, and more scientific quantitative evaluation of farming feasibility is achieved. The hydrological analysis evaluates the soil erosion risk through the water flow impact force, dynamically monitors the stability of the land parcel, and improves the response speed of cultivated land protection and water and soil conservation.