408 results about "Land resources" patented technology

The invention relates to the technical field of land resource monitoring, in particular to a land resource dynamic monitoring and early warning method and system based on multi-source remote sensing data fusion, and the method comprises the steps: employing an unmanned plane to periodically collect optical images, SAR echoes and LiDAR point clouds, constructing a ground three-dimensional digital model, and carrying out the land parcel division; performing fusion to form a multi-dimensional feature vector, establishing an LSTM land parcel feature evolution model, and predicting a change rate interval of each feature in a current period based on a historical sequence; constructing a time sequence difference change detection algorithm, calculating a land parcel change rate, and screening potential abnormal land parcels by taking a prediction interval as an anomaly judgment threshold value; a double-branch convolutional neural network is adopted to identify crop states, growth stages and construction violation behaviors, abnormity is judged and determined, and confidence is given; spatial clustering is carried out on determined abnormal land parcels, accurate boundaries are obtained in combination with a three-dimensional model, multi-level early warning information is generated, and the decision-making efficiency and response speed of land resource monitoring are improved.

Disclosed are a filling curing agent for preparing mine superfine tailing slag from solid waste residues, which belongs to the field of preparation of solid waste residues. The filling curing agent comprises a cementing material component obtained by means of a wet milling process while grinding, and an exciting agent component obtained by means of a mixing and stirring process; the cementing material component comprises, in parts by mass, 45-50 parts of blast furnace slag powder, 35-40 parts of steel slag powder, 15-20 parts of coal ash and 53.8 parts of water, and the exciting agent component comprises 100 parts of desulfurized gypsum powder and 59.5-60.6 parts of an activating agent; and the weight of the exciting agent component accounts for 10-15% of the weight of the filling curing agent. The filling curing agent disclosed in the present invention has low filling cost, high filling body strength and good durability, which reduces the occupation of land resources, reduces the impact on the ecological environment and residents' lives, realizes a virtuous cycle of mining and filling, and has good industrial prospects and social benefits.

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 cross-department collaboration-oriented land transaction intelligent decision support method, particularly relates to the technical field of land transaction management, and is used for solving the problems of decision tense chaos and low approval efficiency caused by data timeliness difference in the prior art. The method comprises the following steps: acquiring real-time monitoring and periodic revision data of multiple service units, adding timestamps, and identifying time window differences to extract an associated data set; dynamically aligning timestamps and generating timeliness weights on the basis of flow topological characteristics and information orderliness analysis, constructing a space-time propagation path map, screening high-weight paths, and realizing dynamic splicing of lagged data and real-time data; an approval path scheme with timeliness alignment is generated through rule base matching and a risk early warning mechanism, and risks are detected in real time during execution to dynamically adjust a priority sequence, so that the consistency and execution efficiency of cross-department decision making are improved, and the compliance risk of land resource management and control is reduced.

The invention discloses a detection system for natural land resources, and relates to the technical field of resource detection, the detection system comprises a data preprocessing module, a fusion space-time diagram construction module, a multi-target enhancement module and a feedback module, an entropy law is combined with a semantic space-time diagram index, quantitative modeling of an ecological law is realized, and the real-time performance of the system is improved. Natural-human collaborative intervention simulation under multiple time scales, time-space semantic query response time improvement, prediction precision improvement and interdisciplinary fusion are supported, the entropy law of ecological economics is combined with time-space diagram index, the limitation that a traditional model only pays attention to physical indexes is broken through, ecological-economic balance is achieved through an entropy weight method and Monte Carlo simulation, and the prediction precision is improved. According to the method, self-adaptive decision making is supported, a perception-decision-execution integrated platform is constructed based on the real-time updating capability of space-time diagram indexes, a full-chain solution from data collection to dynamic optimization can be provided for natural resource intelligent management, a prediction model is combined with entropy increase constraint, and the ecological economic cost is quantified.

The invention discloses a GIS-based main body function area evaluation index system construction method, and relates to the technical field of land resource management, and the method comprises the steps: obtaining multi-source geographic data of a target main body function area, and carrying out the preprocessing to form a unified geocoding evaluation database; generating an evaluation index system of the main body function area by adopting a composite weighting algorithm according to the evaluation database and the main body function area type division result; inputting the multi-dimensional raster data of the evaluation index system into the spatial decision tree classification model to obtain a classification result; performing overlay analysis on the multi-dimensional raster data to obtain comprehensive evaluation raster data; according to the classification result and the comprehensive evaluation raster data, obtaining a function goodness of fit thermodynamic diagram of the main body function area; and according to the function goodness of fit thermodynamic diagram, performing dynamic updating based on the time sequence, and when the change rate of the monitoring data exceeds a preset threshold, triggering an iterative optimization process. According to the invention, land space planning and main body function area optimization adjustment are realized.

The invention discloses a multi-task remote sensing semantic change detection method based on a visual state space model. The method mainly solves the problems that in the prior art, semantic segmentation and change detection subtasks lack consistency, and global feature information is not fully utilized. According to the implementation scheme, the method comprises the following steps: introducing a visual state space model into a feature extraction encoder, obtaining multi-level semantic features of image global context information modeling, and enhancing the multi-level semantic features; respectively obtaining a semantic segmentation result and a binary change result of the image from the enhanced multi-level features through a semantic segmentation decoder and a change detection decoder; and in combination with a semantic segmentation result and a binary change result, a semantic change result with higher discrimination is generated, and multi-class semantic change detection of the remote sensing image is realized. According to the method, the specific category information in the change area can be accurately classified while the image change area is efficiently extracted, and the method can be used for land resource utilization management and monitoring of the change of the land type of a specified area.

The invention relates to the technical field of remote sensing data analysis, in particular to a land resource management data analysis system. According to the method, the spectral reflectivity change under the earth surface multi-direction illumination is obtained and the reflection gradient response information of the spectral reflectivity change is extracted, so that the spatial difference of the earth surface reflection characteristics at different angles can be more comprehensively presented; according to the method, surface land type division is more accurate in gray continuity and spatial structure expression, so that potential fission boundaries are identified and reasonable section classification is carried out through quantitative comparison and spatial aggregation analysis of structure texture differences in boundary identification between different regions, and the identification accuracy of the boundary identification between different regions is improved. The stability and variability of the interior and boundary structures of the land areas are effectively described, and on this basis, the area boundary is reconstructed and combined with texture and reflection clustering grouping, so that the land type state and the distribution boundary of each area can be finely judged.

The invention belongs to the technical field of ecological restoration, and particularly relates to an ecological environment data processing method and system for ecological restoration, and the method comprises the steps: a data collection module comprises a plant library, a mining area three-dimensional model and an environment monitoring platform; the data processing module is used for performing grid region division on the mining area three-dimensional model and processing data acquired by the environment monitoring platform; and the analysis matching module is used for screening and matching the optimal plant species for each grid unit. The method comprises the following steps: constructing a geographic model of a mining area, equally dividing the geographic model into a plurality of grid units, respectively acquiring environmental data for each grid unit, adaptively screening and matching plant varieties suitable for the grid units from a plant library according to different attributes such as soil, illumination, terrain and the like of the grid units; therefore, land resources are utilized to the maximum extent, plants are promoted to fully adapt to different environments of the mining area, the survival rate of vegetation is increased, and the ecological restoration and improvement effect of the mining area is achieved.

The invention relates to an intelligent monitoring method and system for unused land based on a full-process closed-loop supervision mechanism, and relates to the technical field of land resource management.The method comprises the steps that a task database is established by means of obtained land related data, image spot extraction is conducted on all images in the database through a change detection model, and image spots are obtained; the method comprises the following steps: extracting pattern spots, performing a series of processing such as optimization, checking and superposition on the extracted pattern spots to obtain data fusion pattern spots, processing the data fusion pattern spots through grading and time identification to obtain graded pattern spots, finally inputting the graded pattern spots into an established system of a full-process closed-loop supervision mechanism, and performing interpretation in the system through each monitoring module. And result backflow updating and intelligent monitoring processing are performed based on the interpretation result, so that the processing precision and efficiency of the monitored pattern spots are effectively improved, the land change condition is comprehensively tracked, and the problem of insufficient timeliness and accuracy of land supervision in the prior art is solved by combining active interpretation supervision.

The invention relates to the technical field of land resource management, in particular to a land stock index management method based on data analysis. The method comprises the following steps: establishing a cross-data-source data sharing mechanism through a block chain technology, and obtaining multi-source land data; performing natural resource, planning and building information fusion on the multi-source land data based on a knowledge graph to obtain a geographic space semantic network; performing multi-scale space-time clustering on the geographic space semantic network through a self-organizing mapping algorithm, and performing key feature capture of land utilization change based on an attention mechanism to obtain land utilization change feature data; and performing land utilization mode identification according to the land utilization change characteristic data to obtain a land utilization dynamic characteristic spectrum. Through a multi-agent system and a hierarchical reinforcement learning algorithm, a complex land utilization decision process can be simulated, and an optimal decision scheme is realized.

The invention relates to the technical field of natural resource saving, in particular to a construction project land-saving optimization method and system oriented to resource saving and efficient utilization, and provides a three-level index case library construction and dynamic weight matching technology. The method comprises the following steps: firstly, performing multi-level classification on historical cases based on industry types, regional conditions and construction scales, and extracting standardized land use data (L), unit capacity (E) and land saving effects (S) to construct a case library; secondly, dynamically allocating weight coefficients of industries, regions and scales through an analytic hierarchy process (AHP), calculating case similarity in combination with a weighted Euclidean distance, and accurately screening matched cases; according to the method, the land use nuclear reduction rate reaches 26.48% in projects such as a Minjiang old wood hole avionics hub project, and the intensive utilization level of land resources is remarkably improved.

The invention relates to the technical field of surveying and mapping acquisition devices, in particular to a surveying and mapping acquisition device for land resource management, which comprises a storage box, four adjustable supporting legs, surveying and mapping equipment, a concave seat, two mounting mechanisms, a supporting seat, two guide plates, a mounting seat, two driving mechanisms, a pushing mechanism, a closing mechanism and a limiting mechanism, the four adjustable supporting legs are arranged at the bottom end of the storage box and are used for supporting the storage box; the surveying and mapping equipment is located in the storage box; surveying and mapping equipment is mounted on the recess; the two mounting mechanisms are respectively positioned on two sides of the surveying and mapping equipment; the supporting seat is fixed at the bottom end of the concave seat; the surveying and mapping equipment storage box has the beneficial effects that through mutual matching and linkage of the rotating disc, the fixing strip, the sliding rod, the connecting plate and other components, the concave seat jacks open the sealing plate, so that surveying and mapping equipment is moved out of the storage box, the surveying and mapping equipment can work conveniently, various tedious manual operations are not needed, and the surveying and mapping equipment is moved out and stored more conveniently.

The invention relates to the technical field of municipal planning, in particular to a BIM + GIS-based municipal underground pipe network intelligent planning and conflict avoidance system and method, and the system comprises a BIM-GIS data fusion module which is used for integrating a BIM model and GIS topographic data; the construction process association module is used for analyzing the construction plan to generate a dynamic construction progress table, and constructing a directed graph based on the spatial position relationship of each construction unit in the BIM model; the conflict prediction and avoidance module is used for calculating the space conflict probability of the temporary pipe network and the permanent pipe network in real time in combination with the directed graph and GIS topographic data; the land-saving optimization module is used for carrying out iterative optimization on the temporary pipe network layout through a genetic algorithm based on GIS topographic data and construction area boundary constraints so as to minimize the total length and the occupied area of the temporary pipe network; and the dynamic visualization interaction module is used for providing a three-dimensional BIM-GIS fusion view. According to the method, management and control from static design to dynamic construction are achieved, and the scientificity of underground pipe network planning and the land resource utilization efficiency are improved.

The invention belongs to the technical field of land resource management and planning, and provides a land utilization change prediction and decision support system based on machine learning, which comprises a data acquisition and preprocessing module used for collecting multi-source land utilization data; the feature extraction and modeling module comprises a time sequence analysis sub-module and a spatial feature extraction sub-module; the prediction model module comprises a machine learning model training sub-module and a model evaluation sub-module; according to the method, a comprehensive land utilization data set is formed by integrating multi-source information such as satellite remote sensing data, geographic information system data, meteorological data and economic data; data cleaning and standardization processing are performed by using a deep learning algorithm, so that the quality and consistency of the data are ensured; through the time sequence analysis and spatial feature extraction technology, the spatial and temporal features of the land utilization change are comprehensively captured, then a high-precision prediction model is constructed, and the prediction precision of the land utilization change is remarkably improved.

The invention provides an engineering investigation surveying and mapping intelligent management method and system based on a geographic feature processing technology. The method comprises the following steps: acquiring building distribution density, ground gradient and underground rock stratum distribution data of a target area, deploying a ground deformation monitoring radar at a selected position based on the building density and the rock stratum data, generating ground deformation data through radar images, and then separating ground subsidence change and original terrain characteristics to form a subsidence map; meanwhile, image reflection characteristics are analyzed to mark dangerous areas. And then integrating the ground gradient, the settlement trend and the rock stratum structure complexity to construct a land bearing evaluation model. The influence weight is further adjusted in combination with engineering requirements, and a bearing force evaluation result is generated after the model is input. Therefore, a scientific three-dimensional development planning scheme is generated, and optimized utilization and risk management and control of land resources are realized. According to the invention, through multi-source data fusion and model calculation, full-process analysis from land deformation monitoring to load bearing evaluation is realized.

The invention relates to the technical field of resource accounting, and discloses a dynamic index accounting system for displacement of cultivated land resources and forest land resources. The system comprises a resource data acquisition unit for acquiring spatial distribution data of cultivated land resources, types and coverage data of forest land resources and replacement constraint condition data and performing space-time alignment to generate a resource multi-dimensional data set; the replacement index accounting unit is used for executing resource adaptability reconstruction processing based on the resource multi-dimensional data set and separating target resource data from abnormal resource data; the replacement scheme generation unit is used for generating an accounting result containing a replacement area, a weight and a priority by combining a preset replacement rate and a development rate; and the dynamic correction unit is used for identifying an exception type based on the exception resource data and correcting an accounting result in real time. The system can comprehensively capture resource dynamics, improves the accuracy and timeliness of replacement accounting, and adapts to complex resource management requirements.

The invention discloses a mixed roadbed filler prepared by compounding and cooperating multi-source solid waste materials with shield muck. The mixed roadbed filler is prepared from the following raw materials in parts by mass: 100 parts of shield muck, 3 parts of carbide slag / lime, 0-3 parts of fly ash, 0-3 parts of alkaline residues and 0-3 parts of desulfurized gypsum, according to the mixed roadbed filler, lime / carbide slag is used as a curing agent, fly ash, alkaline residues and desulfurized gypsum are used as additives, and a mixture with good strength and durability is formed after uniform stirring and compaction. The mixed filler is applied to roadbed backfilling, so that the shield muck and bulk solid wastes are recycled, and the mixed filler has important social and economic significance in reducing occupation of scarce land resources caused by industrial waste accumulation, reducing environmental pollution hazards and saving construction cost, and is simple in preparation engineering, easy in raw material obtaining and suitable for large-scale popularization and application. And popularization in engineering practice is facilitated.

The utility model discloses a bedstead type efficient seedling raising device, which relates to the technical field of seedling raising equipment and comprises a support and a plurality of bearing plates. All the bearing plates are distributed at intervals from top to bottom, each bearing plate is fixedly connected with the support, and the bearing plates are used for placing seedling hole trays; a top plate is arranged at the top of the bracket; a gap is formed between the top plate and the adjacent bearing plate; seedling raising auxiliary units are fixedly arranged at the bottom end of the top plate and the bottom end of each bearing plate except the lowest bearing plate respectively; each seedling raising auxiliary unit comprises a branch water conveying pipe, a plant light supplementing lamp, a drip irrigation spray head and an atomization spray head, and each drip irrigation spray head and each atomization spray head are communicated with the branch water conveying pipe; a main water conveying pipe is further arranged on the support and communicated with a water source, and each branch water conveying pipe is communicated with the main water conveying pipe. Through the design of the multiple layers of bearing plates, three-dimensional seedling culture space layout is achieved, the seedling culture capacity in unit area is greatly improved, large-scale centralized seedling culture is suitable, and land resources are saved.

The invention relates to the technical field of remote sensing surveying and mapping marks, in particular to a remote sensing surveying and mapping target device for land resource surveying and mapping. Comprising a base and an arc-shaped plate hinged to the edge of the lower surface of the base through a hinge block. The end part of the arc-shaped plate is vertically connected with a fan-shaped end cover; a cylindrical storage cavity is defined by the four arc-shaped plates, the four end covers and the lower surface of the base; the inner sides of every two adjacent arc-shaped plates are connected through a sub-target piece. The four sub-target sheets are combined into a whole target sheet after the four arc-shaped plates are unfolded; a fan-shaped groove is eccentrically formed in the base in a penetrating manner; a fan-shaped shielding groove communicated with the fan-shaped groove is formed in the base; according to the target device, the whole target sheet is adhered with the powdery pigment, and the color of the powdery pigment is the color which has the largest contrast with the surrounding environment, so that the whole target sheet in the target device is more prominent at the marked position, subsequent surveying and mapping are facilitated, the subsequent surveying and mapping precision is improved, and the situation of missing measurement is avoided.

The invention discloses a land information acquisition method and system. The method comprises the following steps: acquiring multi-source heterogeneous land data of a target area; carrying out ground feature extraction on the multi-resolution remote sensing image, generating a digital elevation model for laser point cloud data, and carrying out space-time registration and fusion processing to generate a multi-modal land feature map; generating a standardized land attribute data set based on the multi-modal land characteristic spectrum; analyzing the standardized land attribute data set by using a time sequence change detection model, and outputting a land dynamic change monitoring report; and according to the land dynamic change monitoring report, a land resource optimization configuration scheme is generated through a multi-dimensional constraint optimization algorithm, and a dam area site selection suggestion conforming to centralized contiguous and gradient constraint is output. According to the embodiment of the invention, integrated processing of land information from accurate perception to intelligent decision can be realized, and the automation degree, precision and decision scientificity of land resource analysis are improved.

The invention relates to the technical field of land visualization, in particular to a land resource visualization calculation method based on land utilization pattern spots. The method comprises the following steps: acquiring land resource utilization data and a land remote sensing image; performing land utilization type classification on the land resource utilization data to generate land utilization type data; performing land attribute feature extraction on the land resource utilization data according to the land utilization type data to obtain land attribute feature data; and performing land map spot visualization on the land remote sensing image through the land utilization type data and the land attribute feature data to generate a land utilization resource spatial distribution map. According to the method, through multi-level data processing, attribute extraction, land utilization change prediction and decision visualization, the accuracy and comprehensiveness of land resource visualization calculation are improved.

The invention relates to the technical field of data analysis, in particular to a land resource management data analysis method and system based on cloud computing, and the method comprises the following steps: obtaining a difference time node plot number and a purpose field, recognizing a number evolution chain and establishing mapping, extracting a land class sequence to generate a stability label, analyzing the spatial continuity to construct an attribution path, and analyzing the attribution path. And indexing a utilization rate fluctuation trend paragraph, and identifying a purpose fusion direction to generate a fusion layer set. According to the method, through joint comparison of a serial number structure, coordinate overlapping and a purpose field, a stable land class transition chain is established, it is ensured that land class time sequence features are effectively described, the contiguous direction of a space dot matrix and the consistency of land class affiliation are combined, splicing of the space affiliation relation between land parcels is achieved on the regional level, and the splicing efficiency of the space affiliation relation between land parcels is improved. The identification precision and the spatial expression definition of the land type change are improved, and the spatial analysis capability of the land type change trend and the dynamic perception capability of the land utilization efficiency are effectively enhanced.

The invention relates to the field of tires, and provides a degradable material reinforced environment-friendly tire, which comprises a tire main body, the tire main body at least comprises a tread, a sidewall, a cord fabric layer and a tire bead, the tread contains a degradable rubber material, and the degradable rubber material accounts for 20-50% of the total mass of the tread; the degradable rubber material contains polycaprolactone modified natural rubber accounting for 10%-30% of the total mass and is prepared by adopting a dynamic vulcanization process, dicumyl peroxide serves as a vulcanizing agent, the addition amount of dicumyl peroxide is 0.5%-1.5%, the vulcanization temperature is 140-160 DEG C, the vulcanization time is 8-15 minutes, and the number-average molecular weight of polycaprolactone is 10000-30000. The environment-friendly tire provided by the invention can be gradually decomposed in the natural environment, so that the pollution of the waste tire to the environment is effectively reduced, the problem that the traditional tire is difficult to degrade is solved, and the occupation of land resources and the risk of environmental pollution are greatly reduced.

The invention relates to the technical field of photovoltaic power generation system optimization, in particular to a multi-objective collaborative optimization photovoltaic dip angle determination method, which comprises the following steps of: calculating solar radiation intensity received by a photovoltaic module based on a sun trajectory algorithm by collecting resource data, engineering parameters, terrain correction parameters and economic parameters; the assembly spacing and the land utilization rate are optimized in combination with full-time shadow analysis, and the minimum value of the occupied area is determined; a dynamic weight distribution strategy is adopted, factors such as power generation capacity, land rent and operation cost are coupled to calculate annual income, and the optimal photovoltaic dip angle is solved through a segmented iterative algorithm with the purpose of maximizing the total investment internal return rate (IRR). According to the method, collaborative optimization of land resource utilization and economic benefits can be realized, and a scientific dip angle decision basis is provided for photovoltaic projects with different land costs and topographic conditions.

The invention provides a hydrolysis-acidification-precipitation integrated device, relates to the technical field of sewage treatment, and solves the technical problems of large occupied area and large investment cost of a hydrolysis-acidification treatment system in the prior art. The hydrolysis-acidification-precipitation integrated device comprises a tank body provided with an inner cavity; the water inlet device is used for conveying sewage needing to be treated to the bottom of the inner cavity of the tank body; the stirring device is used for mixing the activated sludge and the wastewater; the precipitation device is used for separating sludge and sewage, discharging residual sludge and automatically refluxing activated sludge into the hydrolytic acidification reaction area of the tank body; and the water outlet device is used for discharging the treated sewage. The functions of hydrolytic acidification, precipitation, automatic backflow and the like are integrated in one tank body, so that the requirement for an additional precipitation tank is reduced, the occupied area of the system is remarkably reduced, and the system is more suitable for the urban environment with shortage of land resources.

The invention discloses an intelligent assessment method for immigrant resettlement planning data, and relates to the technical field of immigrant resettlement, and the method comprises the following implementation steps: configuring the IP address information of an immigrant planning remote control region server; entering a data detection end, counting immigrant population information in real time, and performing double real-name authentication of identity card and face recognition on the immigrant population information; entering an immigrant tracking end, and determining an immigrant resettlement scheme according to the immigrant resettlement houses in the corresponding area range by receiving the final resettlement population quantity; and entering a resource early warning end, acquiring land resource change, infrastructure construction progress and environmental parameter change information in real time, updating in time, comprehensively judging the feasibility of a resettlement scheme, and ensuring the feasibility of immigrant resettlement planning execution. According to the immigrant resettlement planning data intelligent evaluation method, the integrity of immigrant resettlement planning data acquisition is improved, the latest immigrant resettlement condition is reflected in time, and accurate judgment on the feasibility of a resettlement scheme is ensured.

The invention discloses a land natural resource three-dimensional visualization modeling method based on multi-source data fusion, and relates to the technical field of image processing, and the method comprises the steps: obtaining a plurality of land resource data and related information source data of the same region; based on the land resource data and the related information source data, calculating repeated information influence degrees of related information sources on different land resources; on the basis of the repeated information influence degree, performing deletion processing on repeated contents with interactive conversion in each related information source to obtain deleted information source data; and performing fusion processing on the deleted information source data, and establishing a land resource three-dimensional model by using the fused data. The technical effect of improving the efficiency of constructing the land natural resource three-dimensional model is achieved.

The invention discloses a high-yield cultivation method for muskmelons in sand land in South China, which belongs to the technical field of agricultural cultivation and comprises the steps of preparation before cultivation, seedling raising, transplanting, field management and harvesting. The variety is a heat-resistant and moisture-resistant type with good resistance, and is matched with a steel pipe type multi-span greenhouse and an insect-proof net to create a suitable growth environment. The planting crop rotation of three crops in one year makes full use of resources. Water and fertilizer integrated irrigation is adopted, and water and fertilizer are accurately supplied. Fine management is conducted in the seedling raising link, and robust melon seedlings are cultivated. Details are emphasized during transplanting, and the survival rate is guaranteed. Field management is carried out according to the growth rule of muskmelons, precise regulation and control are carried out in all stages such as vine stretching, vine binding and branch pruning, and diseases and pests are specifically prevented and controlled. And timely harvesting after 35-44 days of maturation. The cultivation method has the advantages that the cultivation method adapts to the special environment in South China, diseases and insect pests are reduced, water and fertilizer are accurately supplied, plant growth and fruit development are promoted, the land resource utilization rate is increased, the yield and quality of the thick-skin muskmelons can be effectively improved, and good benefits are brought to farmer households.

The invention relates to the technical field of land measurement, and provides a land resource land management measuring device which comprises two mounting boxes and a fixing frame, positioning marking assemblies are mounted in the two mounting boxes, sleeves are welded and fixed to the top end faces of the mounting boxes, adjusting rods are slidably connected in the sleeves, and the adjusting rods are movably connected with the fixing frame. A laser range finder is fixed in the fixing frame through bolts, a laser transmitter and a laser receiver are mounted on the laser range finder, a folding protection assembly is mounted in the fixing frame, the positioning marking assembly comprises a storage box and a connecting cylinder, a guide groove is formed in the side end of the connecting cylinder, and a positioning mark is mounted in the guide groove. A center rod and a supporting rod are welded and fixed to the bottom end of the connecting cylinder, a sliding block is hinged to the bottom end of the supporting rod, and the sliding block is slidably connected to the top of the pressing plate in a limited mode. By means of the technical scheme, the problem that in the prior art, a land measurement device cannot conduct automatic and stable fixed-point marking work on the measurement starting point and the measurement end point is solved.