50 results about "Farmland preservation" patented technology

The invention relates to the technical field of image processing, in particular to a remote sensing monitoring method and system for cultivated land protection, and the method comprises the following steps: obtaining a remote sensing image sequence of a cultivated land region at a differential time node, extracting pixel gray values of the same land parcel, arranging the pixel gray values according to time, calculating the ratio of a difference value between adjacent frames to an intra-frame gray average value, and obtaining a remote sensing image sequence; and marking positions continuously exceeding the fluctuation reference ratio, and generating a pixel region set. According to the method, a sampling frequency threshold optimization strategy is adopted, abnormal areas are screened in combination with albedo change rate, short-time fluctuation interference is reduced, time sequence consistency is enhanced, a solar incident angle and a terrain slope are introduced to calculate projection influence, a slope surface shielding area is eliminated, and space grid marking and boundary integrity judgment are adopted; the method improves the continuity of cultivated land distribution information, combines time sequence analysis, sampling optimization, physical characteristic compensation and spatial consistency correction, enhances the fine recognition of the dynamic change of cultivated land, and improves the monitoring precision and data reliability.

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 provides a soil erosion evaluation and prediction method based on a public data set, and belongs to the field of soil erosion. An improved RUSLE model is constructed by obtaining public land utilization data, rainfall data, vegetation coverage data, soil texture data and DEM data of a target area, and the soil erosion condition of the target area is evaluated; four prediction scenes including a natural development scene, a city extension suppression scene, an ecological priority scene and a cultivated land protection scene are put forward according to policies, adaptive atlas under the four scenes are made, existing land utilization data and the adaptive atlas of all the scenes are input into a CA-Markov model, and land utilization conditions under all the scenes in the future are obtained; and on the basis of the predicted land utilization data, a water and soil conservation measure factor under each scene is obtained in combination with an assignment method, and then an improved RUSLE model is constructed in the grid, so that the soil erosion condition of the target area under multiple scenes in the future can be obtained.

The invention relates to the technical field of cultivated land information management and systems, in particular to a cultivated land protection management system and method based on an informatization technology. A cultivated land protection management system based on an informatization technology comprises a storage database and a management system in communication connection with the storage database, and the management system is in communication connection with a GIS system and a mobile device through an API interface. The management system comprises a login module, a data management module, a space analysis module, a task management module, a cultivated land monitoring and early warning module and a user authority management module. The problems of low data management efficiency, insufficient informatization degree, low patrol work efficiency, lack of early warning mechanism, insufficient data sharing and authority management, lack of mobile application support and the like are solved, the efficiency and quality of cultivated land protection management are improved, and the method has important significance in protection and reasonable utilization of cultivated land resources.

The invention provides a cultivated land quality monitoring system based on cultivated land protection. The cultivated land quality monitoring system comprises a multi-source sensing module, a heterogeneous transmission module, a space-time database module, a quality degradation prediction module, a dynamic early warning module, a repair decision module and a quality traceability block chain module. The multi-source sensing module collects data such as soil pH value, organic matter content, heavy metal concentration, crop canopy temperature and vegetation index; the heterogeneous transmission module carries out encryption packaging and format standardization on the data; the space-time database module stores the processed data and space-time associated information; the quality degradation prediction module generates multi-dimensional monitoring data and predicts a degradation risk; the dynamic early warning module generates a multi-stage early warning signal according to the risk value; the restoration decision module outputs soil improvement engineering technical parameters and ecological compensation schemes; and the quality traceability block chain module realizes data verifiable evidence storage. The intelligent level of cultivated land protection can be improved, and comprehensive technical support is provided for sustainable utilization of cultivated land quality.

The embodiment of the invention provides a space-time mapping knowledge domain construction method based on cultivated land protection regulations, which belongs to the technical field of data processing, and specifically comprises the following steps: defining entities and relation expressions of a mapping knowledge domain oriented to cultivated land protection regulations by utilizing a mode layer, and taking the entities as basic nodes in the mapping knowledge domain oriented to cultivated land protection regulations, taking relevance or dependency of different entities on the semantic level as relation expression; the data layer is utilized to sort basic data, tailoring reference data and reasoning decision data related to cultivated land protection in the land class administrative tailoring reference file into an entity and relation expression form to be filled into a knowledge graph oriented to cultivated land protection laws and regulations; dividing the reasoning layer into a rule reasoning mechanism, a space-time reasoning mechanism and a learning reasoning mechanism according to an entity and relation expression form; and the application layer generates a decision scheme according to reasoning analysis results of the rule reasoning mechanism, the space-time reasoning mechanism and the learning reasoning mechanism. Through the scheme of the invention, the pertinence and the adaptability are improved.

The invention discloses a cultivated land resource protection evaluation method and system. The cultivated land resource protection evaluation method comprises the following steps: acquiring a multi-period remote sensing image of a research area; extracting land utilization data from the remote sensing image of each period of the research area, and generating vector diagram blocks of different land utilization types in the research area; on the basis of the land utilization data, land utilization quantity change data, cultivated land utilization dynamic attitude and a cultivated land quantity change intensity index of the research area are obtained through calculation; a cultivated land change index, a cultivated land quality index and a cultivated land ecological index of the research area are constructed; calculating weight values of the cultivated land change index, the cultivated land quality index and the cultivated land ecological index; and calculating a comprehensive evaluation value of cultivated land resource protection of the research area, wherein the comprehensive evaluation value is used for evaluating the cultivated land protection degree of the research area.

The invention discloses a soil acidification improvement method, and relates to the technical field of soil improvement, according to the soil acidification improvement method, evaluation of soil attributes is completed through multi-level diagnosis and calculation of the acidification coefficient, the physical obstacle coefficient and the buffer capacity coefficient of soil, and comprehensiveness of soil acidification analysis is ensured. The problem of limitation existing in the current soil acidification analysis process is solved, meanwhile, a threshold value is used for driving decision control flow branches, an improvement scheme is flexibly upgraded based on real-time monitoring data, the soil improvement effect is improved, closed-loop learning double feedback and S6, data are fed back to S1, self-optimization of the system is achieved, the system adapts to soil changes, and the soil acidification analysis efficiency is improved. An abnormal state after improvement is warned in time, so that the soil safety is guaranteed; the method is suitable for the fields of land restoration and the like, the soil improvement efficiency is improved through data-driven intelligent decision, resource waste is reduced, soil acidification is improved and upgraded, and a technical engine is provided for agricultural sustainable development and cultivated land protection.

The invention relates to the technical field of remote sensing monitoring, in particular to a global cultivated land protection satellite remote sensing monitoring method, which comprises the following steps of: performing spectrum correction on each pixel point based on hyperspectral image data of a target cultivated land area, and adjusting the reflectivity of each wave band to a real level to obtain corrected spectrum data; according to the method, hyperspectral image data and a geostatistics method are integrated, the influence of atmospheric interference on data accuracy is reduced through step-by-step refining processing in the aspects of spectrum correction and radiometric calibration, and key spectral characteristics are accurately positioned by calculating the correlation coefficient of the soil organic matter content and the spectral reflectivity, so that the accuracy of the data is improved. According to the method, the change trend can be extracted from the time sequence data, the situation that cultivated land is occupied or degraded can be recognized in time through analysis of abnormal change indexes, instant and accurate data support is provided for decision makers, and visual information of cultivated land quality and production potential is provided through spatial interpolation processing and a constructed soil organic matter spatial distribution diagram.

The invention discloses a cultivated land parcel extraction method and system based on surface and line fusion and a medium, and the method comprises the steps: carrying out the region surface classification and land parcel extraction of initial land parcel data according to a preset SAM model, and obtaining land parcel-surface data; performing field ridge line extraction and boundary connection on the initial land parcel data according to a preset line model to obtain land parcel-line data; and performing surface-line fusion processing on the land parcel-surface data and the land parcel-line data to obtain a cultivated land parcel extraction result. According to the method, for the land parcels of different regions, the SAM model is used for extracting the region surfaces of the land parcels with different features, the line model is used for extracting the cultivated land boundary line, and then surface-line fusion is carried out to obtain the cultivated land parcel region with higher precision, so that accurate data support is provided for cultivated land protection.

The invention relates to the technical field of soil irrigation, and particularly discloses a soil irrigation device based on cultivated land protection, which comprises a water tank, a plurality of water pipes fixedly communicated with the outer side of the water tank, a plurality of irrigation assemblies arranged on the outer sides of the water pipes, electromagnetic valves fixedly mounted at the tops of the water pipes, and a plurality of water pumps fixedly mounted on the inner wall of the water tank. The irrigation assembly comprises a connecting seat, a detection mechanism, a driving mechanism, a clamping mechanism, an irrigation mechanism and a water pumping mechanism; the mounting seat is mounted on the outer side of a water pipe through the connecting seat and inserted into soil, the stability of the mounting position of the water pipe can be ensured, the humidity in the soil can be monitored, when the water content of the soil is high, the movable block is extruded to move towards the interior of the fixing sleeve, the motor is started to control the electromagnetic valve and the water pump to start and stop, and ground muddy water is pumped by the water pumping mechanism; when the water content of the soil is low, the movable block moves outwards under the action of internal pressure, and the motor is started to achieve irrigation, so that each area can be automatically monitored and irrigated, and the irrigation quality is guaranteed.

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.

The invention relates to a knowledge graph construction method and system for multi-modal cultivated land data. The method comprises the following steps: constructing a cultivated land protection field knowledge system; entities, relations and attributes are extracted and stored in a knowledge graph, corresponding description information is obtained and input into an incomplete multi-modal data fusion algorithm model based on deep semantic matching for data feature fusion, cultivated land data in different modals are mined, the knowledge graph is supplemented and adjusted, and the knowledge graph of the multi-modal cultivated land data is constructed. Entities, relationships and attributes are extracted and stored in the knowledge graph, so that the constructed knowledge graph can be ensured to be more accurate, the coverage field is wider, and the application of the knowledge graph is more diversified and accurate; data feature fusion is carried out in an incomplete multi-modal data fusion algorithm model, so that the heterogeneous problem in the knowledge graph is effectively solved; the cultivated land data in different modes are fully mined, and the knowledge graph can become more powerful in tasks such as self-complementation and intelligent question and answer.

The invention belongs to the field of cultivated land protection and spatial information technology application, and particularly relates to a county scale cultivated land supplement resource potential tapping and effect evaluation method. The method comprises the steps of data acquisition, comprehensive ranking of renovatable resources, cultivated land growth probability analysis based on a random forest algorithm, suitability evaluation based on multi-target correction, cultivated land supplement simulation and implementation effect evaluation. And a cellular automaton module of the plaque generation land utilization simulation model simulates cultivated land change, and carries out quantitative evaluation of a cultivated land simulation result in combination with a landscape pattern index. The invention aims to provide the scientific and objective county scale cultivated land reserve resource potential tapping and improvement effect evaluation method, the problems of data distortion, strong subjectivity, scale mismatching, insufficient effect evaluation and the like in the prior art are solved, and technical support is provided for cultivated land occupation and supplement balance work.

The invention belongs to the technical field of cultivated land detection, and particularly relates to a cultivated land illegal behavior intelligent detection method based on a monitoring video, which comprises the following steps: S1, extracting a key frame and a key part based on video data; s2, establishing a farmland illegal behavior database, and generating a label sample data set; s3, designing a deep learning model for farmland illegal behaviors; s4, improving and optimizing a farmland illegal behavior detection and recognition algorithm; s5, model training; s6, performing detection analysis on the target in combination with a region generation network RPN and a deep learning model; s7, image classification; s8, the monitoring video is spatialized; and S9, time sequence analysis. By developing an intelligent detection system based on a monitoring video, real-time monitoring and automatic detection of illegal behaviors of cultivated land are realized, the efficiency of cultivated land protection is remarkably improved, the illegal behaviors can be found and processed in time, the supervision cost is effectively reduced, and the accuracy and reliability of supervision work are improved.

The present application relates to the technical field of image processing, in particular to a remote sensing monitoring method and system for cultivated land protection, comprising the following steps: acquiring a remote sensing image sequence of a cultivated land area at different time nodes, extracting the pixel gray value of the same land block and arranging it according to time, calculating the ratio of the difference value between adjacent frames and the gray mean value in the frame, marking the position continuously exceeding the fluctuation reference ratio, and generating a pixel region set. In the present application, by adopting a sampling frequency threshold optimization strategy, combining the albedo variation rate to screen abnormal areas, reducing short-term fluctuation interference, enhancing time sequence consistency, introducing the solar incident angle and terrain slope calculation projection influence to eliminate the slope shielding area, using spatial grid marking and boundary integrity judgment to improve the coherence of cultivated land distribution information, combining time sequence analysis, sampling optimization, physical property compensation and spatial consistency correction to enhance the fine identification of cultivated land dynamic change, and improving the monitoring accuracy and data reliability.

The invention discloses a method for detecting and tracking an engineering vehicle in a farmland in a sheltered environment, and relates to the technical field of computer vision and cultivated land protection, and the method comprises the following steps: S1, collecting and marking image data of the farmland engineering vehicle under different sheltering degrees, constructing a training set, a verification set and a test set, and improving and training a YOLOv8 model, constructing a high-precision engineering vehicle detection model, and constructing a data set preparation and model training module; s2, acquiring a farmland monitoring video stream in real time by using a high-definition camera, processing a video frame by using the improved YOLOv8 model trained in the step S1, outputting an engineering vehicle target detection frame with confidence, and constructing a video stream input and target detection module; according to the method for detecting and tracking the engineering vehicle in the farmland in the sheltered environment, the BiFPN and CBAM modules are introduced, so that the feature extraction capability of the model on sheltered and small-target engineering vehicles is remarkably enhanced, and the detection precision (mAP at 0.5) is improved to 87% or above in a sheltered scene.

The invention discloses a multi-mode remote sensing image intelligent interpretation and land dynamic monitoring analysis method, and relates to the technical field of remote sensing data intelligent processing. According to the method, a dynamic ontology-driven multi-modal knowledge graph and virtual-real dynamic calibration digital twinning two-way collaborative system is constructed, and real-time adaptation of policy rules and virtual-real scenes is realized; through dynamic threshold learning and a three-dimensional grading index system, land abnormal changes are accurately identified; the regional differentiation accurate accounting is realized by adopting ecological value quantitative evaluation adaptive to dynamic parameters; a scene-based treatment plan is generated and is subjected to multi-agent simulation optimization, so that the execution effect is improved; and constructing a full-process closed-loop optimization mechanism, and dynamically updating a threshold value, parameters and rules. The technologies are coordinated and linked, the precision and efficiency of dynamic land management are remarkably improved, and the method is suitable for scenes such as cultivated land protection red line management and control.

The invention relates to the technical field of cultivated land protection simulation and spatial information, and discloses a multi-subject spatialization cultivated land supplementary simulation and scene parameter optimization method and device, and provides a management department, farmer and enterprise multi-subject spatial simulation method and mode by paying attention to the complex decision-making process of farmers and the participation form of a third-party company. Decision simulation of farmland supplement of the farmer under the farmland occupation and supplement balance rule is realized. The farmland plot simulation is not limited to cellular or grid scale, matching of the farmland man-land relationship of farmers is facilitated, the multi-body spatialization modeling capability and the rule scene dynamic simulation capability are improved, the method is more scientific and objective, the simulation precision is higher, the Pareto optimal solution of the rule parameters is obtained through the optimization algorithm, and the method is suitable for large-scale popularization and application. Quantitative rule parameters can be provided for a management department.

The application provides a cultivated land loss evaluation method and system based on cultivated land space-time change characteristic analysis, first acquires cultivated land space-time change tracking data set containing large-scale cultivated land spatial distribution, utilization state and surrounding environment data of different observation periods, then executes cultivated land spatial feature modeling processing, obtains large-scale cultivated land spatial coupling feature set in batches, executes cultivated land time sequence feature modeling processing, combines the spatial coupling feature set to obtain large-scale cultivated land space-time interaction feature set in batches, then inputs the two into a cultivated land loss risk conduction model, efficiently identifies large-scale cultivated land loss risk conduction paths, generates cultivated land loss risk evaluation results in batches, divides large-scale cultivated land loss risk areas, designs batch cultivated land protection intervention schemes and generates large-scale cultivated land protection strategy set, can efficiently process large-scale data, comprehensively and accurately evaluate large-scale cultivated land loss risk and scientifically and reasonably formulate cultivated land protection strategies.

The present invention belongs to the field of cultivated land protection and the application of spatial information technology, and specifically relates to a method for tapping potential and evaluating the effectiveness of supplementary cultivated land resources at the county scale; the method includes: data acquisition, comprehensive investigation of exploitable resources, analysis of the probability of cultivated land growth based on the random forest algorithm, suitability evaluation based on multi-objective correction, steps of simulating supplementary cultivated land and evaluating the implementation effectiveness; a cellular automaton module for generating a land use simulation model based on patches to simulate cultivated land changes, and carrying out quantitative evaluation of the cultivated land simulation results in combination with landscape pattern indices. The purpose of the present invention is to provide a scientific and objective method for evaluating the effectiveness of tapping and renovating the potential of cultivated land reserve resources at the county scale, to solve problems such as data distortion, strong subjectivity, scale mismatch, and insufficient effectiveness evaluation in the prior art, and to provide technical support for the work of achieving dynamic balance between cultivated land occupation and compensation.

The invention relates to the technical field of geographic space information, and discloses a rural cadastre dynamic updating and property management method and system based on remote sensing and a GIS (Geographic Information System). A multi-source data acquisition module, a data arrangement module, a dynamic updating module, a property management module, a data analysis module, a three-dimensional visualization module, a quality inspection scale module, a public participation module, a dispute mediation module, a resource sharing module and an operation and maintenance security module are deployed, and initialization configuration and linkage testing of each module are completed. The multi-source data acquisition module is used for integrating multi-source data, the dynamic updating module is used for detecting land type changes through a CNN model, the data analysis module is used for quantifying conflict risks and cultivated land / development trends, and all the modules cooperatively support application, so that the system has the advantages of real-time monitoring, intelligent early warning, accurate metering and dynamic optimization. The problems that in traditional rural cadastral management, land utilization change perception is lagged, ownership disputes are passively handled, cultivated land protection quantification is absent, and development intensity regulation and control are not accurate are solved.

The invention provides a cultivated land quality monitoring system based on cultivated land protection, and relates to the technical field of agricultural management monitoring, and the system comprises the following modules: a data collection module which collects biological activity data including enzyme activity, earthworm biomass, microbial respiration rate and earth surface hardening index; the biological activity analysis module is used for constructing a biological activity digital model and outputting a soil biological activity index of the cultivated land to be detected; the degradation correction module is used for establishing degradation grades; and the quality evaluation module is used for correcting and adjusting the soil biological activity index based on the obtained degradation grading index, and outputting an evaluation result through the soil biological activity correction index. According to the method, multi-dimensional biological activity data such as enzyme activity, earthworm biomass, microbial respiration rate and earth surface hardening index are collected, and data consistency is ensured by using a standardization method, so that the limitation that a conventional technology depends on a single index is avoided; the defect that a traditional method neglects the influence of climate change accumulation is overcome.

The present invention provides a fine-grained method, medium, and system for optimizing cultivated land conservation potential, belonging to the field of cultivated land data processing technology. The method first acquires multi-source remote sensing, soil, and climate data, extracting a basic feature matrix through multi-dimensional decomposition. A pyramid neural network model is then used to perform multi-scale analysis of soil quality characteristics, and adaptively integrates them through a feature integration module. A contribution optimization equation system is then constructed, comprehensively considering four aspects: benchmark evaluation, spatial correlation, temporal evolution, and weight balance. This allows for accurate evaluation of cultivated land conservation potential and generates an optimized conservation zoning scheme. The pyramid neural network model overcomes the problem of insufficient feature extraction in traditional methods through multi-scale feature extraction and adaptive integration. Furthermore, the contribution optimization equation system, through multi-dimensional information fusion and dynamic optimization, addresses the difficulty in accurately evaluating cultivated land conservation potential in existing technologies.

The present application is applicable to the field of natural language processing technology, and provides a long text event extraction method for farmland protection, including: dividing the long text to be extracted into blocks, obtaining the first part-of-speech feature of each sentence after the block; encoding using the Bert model to obtain the first embedding vector of each sentence after the block; extracting sentence-level features for each first embedding vector to obtain the first sentence feature; determining the event trigger word and entity according to the first embedding vector, the first sentence feature and the first part-of-speech feature; determining the event type of the long text to be extracted according to the event trigger word, the entity and the first sentence feature; determining the prior text with the most similarity to the long text to be extracted; determining the corresponding event prompt template according to the event type; filling the event prompt template, and processing the filled event prompt template using a large language model to obtain the event extraction result. The present application can improve the accuracy of long text event extraction in the field of farmland protection.

According to the cultivated land protection checking system based on geographic information analysis and the processing method thereof provided by the invention, through integration of position information, analysis of distance and angle monitoring, precise control and checking of the shooting process are realized, it is ensured that checking data can truly and comprehensively reflect the actual situation of cultivated land, and the accuracy of cultivated land protection checking is improved. The problems of insufficient authenticity of checking data, lack of shooting constraints and the like in the existing cultivated land checking technology are effectively solved, so that a good tool support is provided for cultivated land protection checking work by the novel cultivated land protection checking mechanism.

The invention relates to a cultivated land protection space division method and system based on total element analysis, and the system comprises a distributed data collection subsystem, the output end of the distributed data collection subsystem is electrically connected with an edge calculation gateway, the output end of the edge calculation gateway is electrically connected with a total element fusion analysis server, and the output end of the total element fusion analysis server is electrically connected with a database. The output end of the total element fusion analysis server is electrically connected with a three-dimensional GIS decision platform, and the output end of the three-dimensional GIS decision platform is electrically connected with a protection strategy generator. The block chain technology is introduced at the same time to establish a protection measure execution traceability mechanism, closed-loop management of monitoring-analysis-decision-evaluation is formed, traditional experience judgment is converted into data-driven intelligent decision, and by quantifying the ecological vulnerability and ecological system service value change, the decision-making efficiency is improved. A scientific and dynamic space division method is provided for cultivated land protection, and the precision and adaptability of land space treatment are effectively improved.

The invention relates to the technical field of ecological restoration, in particular to an ecological restoration monitoring method and system for a coal mining subsidence area. Obtaining soil recovery state time sequence information; when the soil recovery state at the end point moment of the time sequence information of the soil recovery state meets a soil target state, the time sequence information of the soil recovery state and vegetation planting parameters are input into a vegetation recovery state prediction network, and the time sequence information of the vegetation recovery state is obtained, the vegetation recovery state prediction network is a black box model constructed based on a long-short term memory neural network; and when the vegetation recovery state at the end point moment of the vegetation recovery state time sequence information meets a vegetation target state, performing ecological recovery monitoring on the soil modification coal mining subsidence area executing the soil modification control parameters by taking the soil recovery state time sequence information and the vegetation recovery state time sequence information as monitoring baselines. According to the method, scientificity and effectiveness of cultivated land protection and ecological restoration of the coal mining subsidence area can be improved.

The utility model belongs to the technical field of land monitoring, and particularly relates to an intelligent monitoring and management device for cultivated land protection and land reclamation, which comprises a support frame, a rotating shaft is mounted on the horizontal part of the support frame through a bearing, and a gear I is fixedly sleeved on the outer side of the rotating shaft; a first motor is fixedly installed on the horizontal part of the supporting frame and located on the right side of the rotating shaft, the outer side of an output shaft of the first motor is fixedly sleeved with a second gear, and the second gear is meshed with the first gear. Through the arrangement of structures such as the motor I and the gear I, the rotating shaft can be driven to drive the detection head to rotate, and under the structures such as the motor II and the screw rod, the detection head can be driven to move, so that the detection head has good moving energy under rotation, and a good effect of inserting the detection head into soil is ensured; the problem that the insertion effect of the detection head is poor due to the fact that the detection head is driven by purely using movement kinetic energy in the direction of the vertical part in the prior art is solved.