62 results about "Cultivated land" patented technology

This invention discloses a gradient difference-enhanced remote sensing method and device for detecting changes in cultivated land. The method involves acquiring dual-temporal remote sensing images of the study area; obtaining a label map of actual cultivated land changes; constructing a CAGDE-CD model, which includes a twin encoder and decoder, and developing a loss function for the CAGDE-CD model; training the CAGDE-CD model; and inputting the predicted dual-temporal remote sensing images into the trained CAGDE-CD model to obtain the corresponding change detection result map. This invention addresses problems in cultivated land change detection such as false changes, missed detections, unclear boundaries of changed areas, and internal voids. More importantly, this method not only accurately detects the boundaries of changed areas but also enhances the completeness of the change detection results, significantly improving detection accuracy and exhibiting good robustness.

This invention discloses a method and system for detecting the ecological function of cultivated land plots based on a spatiotemporal geographic weighted regression model. First, the study area is ecologically zoned based on the spatiotemporal heterogeneity of cultivated land. Then, the ecological function influencing factors of each ecological zone are established. Next, the values ​​of each influencing factor are obtained based on sensor measurements and collected data. A plot-level ecological weight matrix is ​​constructed using the ecological function influencing factors of the ecological zones to which each plot belongs, and a spatiotemporal geographic weighted regression model for ecological function is established. Finally, this model is used to obtain the ecological function status of cultivated land plots. This invention improves the accuracy of cultivated land ecological function detection under different geographical environments by constructing a spatiotemporal weight matrix through analyzing the correlation of spatial factors in different ecological zones. It also shifts the accounting scale of ecological function down to the plot scale. Furthermore, the technical solution provided by this invention has good scalability and will provide important support for early warning of China's food security and cultivated land ecological security.

The application belongs to the field of image data processing, and particularly relates to a geometric and radiation compensation measurement method applied to farmland extraction, which comprises the following steps: obtaining remote sensing image data of a target area, pre-processing the remote sensing image, constructing a label, cutting and cropping, and dividing a training set and a test set; under the condition of fixed spatial resolution, the application establishes a unified compensation measurement mechanism between spatial resolution and spectral band number, realizes quantitative description of farmland extraction performance, solves the problem that the existing technology cannot uniformly measure the synergistic effect of spectral radiation information and spatial geometric information, and provides method support for two-dimensional quantitative analysis of farmland extraction precision; by constructing an Iso-IoU joint regression model, mathematical expression of the compensation relationship between spectral radiation information and spatial geometric information is realized, and the farmland extraction capability under different remote sensing configuration conditions can be quantitatively evaluated.

The application provides a rural cultivated land monitoring and checking method and system, applied to the technical field of data processing, which comprises the following steps: identifying a cultivated land area to be checked, acquiring the coordinate information of the cultivated land area, planning a UAV path, generating UAV cruise route information, and collecting image information of the cultivated land area. The cultivated land area image information is processed by a cultivated land area state recognition model to generate cultivated land area state information, wherein the cultivated land area state information comprises a cultivated land building state area. According to the cultivated land building state area, the identity information of the owner of the cultivated land is matched. According to the identity information of the owner of the cultivated land, the application form of the owner of the cultivated land in the cultivated land building state area is collected. According to the application form of the owner of the cultivated land, the cultivated land building state area is marked as illegal, and a rural cultivated land building state checking result is generated. The technical problems of low monitoring and checking efficiency and slow checking progress in the prior art are solved.

This invention discloses a method for improving saline-alkali land in semi-arid regions to enhance plant diversity, comprising the following steps: S1, construction of treatment units; S2, arrangement of treatment units; S3, preliminary soil treatment; S4, planting of plants; and S5, intensive soil treatment. This invention addresses the problems of high salinity and species scarcity in saline-alkali land in semi-arid regions, providing a complete treatment method. By deploying multiple treatment units to form a treatment system, combined with the soil conditioner specifically designed for this invention, the high salinity of saline-alkali soil in semi-arid regions can be alleviated. Simultaneously, by incorporating a phytoremediation system primarily composed of alkali plantations, the biodiversity of exposed saline-alkali land in semi-arid regions can be effectively enhanced. Furthermore, considering seasonal factors and other factors such as rainfall, a one-year treatment plan is ultimately developed. After treatment, the land can be selectively developed into ornamental wetlands or agricultural land, possessing significant economic value.

To provide a work vehicle that can prevent a decrease in work accuracy, etc., even if a malfunction occurs in the positioning device during autonomous driving. [Solution] The above problem is solved by a work vehicle 1 configured to be able to drive automatically in a field, comprising: a shooting device that acquires field image data by shooting the area in front of the work vehicle; an uncultivated area extraction unit that extracts uncultivated areas from the field image data; a cultivated area extraction unit that extracts cultivated areas; a boundary line calculation unit that calculates the boundary line between uncultivated and cultivated areas of the field based on the extracted uncultivated and cultivated areas; a boundary line analysis unit 57 that analyzes the boundary line calculated by the boundary line calculation unit; and a boundary line information recording unit that records the analysis information regarding the boundary line from the boundary line analysis unit as boundary line recording information; and a driving means that automatically steers the work vehicle during automatic driving based on the field image data and boundary line recording information acquired by the shooting device.

The present application relates to the bait manufacturing technical field, especially to a kind of construction method of subsurface pipe drainage of saline-alkali cultivated land, comprising: site leveling and geological survey are carried out to the saline-alkali cultivated land to be improved, and the laying parameters of subsurface pipe and seepage ditch are determined. The integrated laser pipe-laying machine is used to lay horizontal subsurface pipe at preset depth, and simultaneously fill filter material to form water-permeable filter material layer wrapping subsurface pipe, vertical seepage ditch is laid perpendicular to horizontal subsurface pipe, the bottom of seepage ditch is flush with the top of water-permeable filter material layer, the top penetrates plough bottom layer and extends into cultivated layer, controllable drainage device is installed at the water outlet of subsurface pipe, soil backfilling and compaction are carried out to construction area, controllable drainage device is debugged, and drainage and water storage functions are verified. In the present application, the effects of rapid water permeation of cultivated layer and long-term unobstructed drainage of subsurface pipe are achieved, and the problems of existing technology, such as seepage failure of clay type, silt type and soda saline-alkali soil after dry and wet hardening, and failure of subsurface pipe to drain water in the following year, are solved.

This application discloses a high-precision quantification method, equipment, and system for farmland salinity patches integrating multi-source near-ground sensing, relating to the field of soil salinization. The developed equipment utilizes a vehicle towing an electromagnetically transparent platform carrying sensors via a non-metallic flexible traction component. Measurement software synchronously records centimeter-level spatial position, vehicle speed, sensor attitude, and apparent electrical conductivity of soil at different depths at a unified timestamp while traveling along a planned strip path. Simultaneously, it cleans up uncertain readings, abrupt local anomalies, and data from abnormal instrument attitudes. Subsequently, the apparent electrical conductivity data at different depths is rasterized, and the soil electrical conductivity estimates at different depths are inverted using an electromagnetic induction Q-3D algorithm. A three-dimensional distribution map of total soil salinity is then drawn, and salt accumulation areas are extracted using soil salinization grading standards, accurately defining and visualizing the geometric boundaries of farmland salinity patches. This application enables rapid and accurate monitoring of the three-dimensional spatial distribution of farmland salinity patches, contributing to the precise improvement of saline-alkali land.

This invention discloses a method for calculating the effective utilization coefficient of irrigation water based on remote sensing ET (Emergency Thresholding). The method includes: acquiring the evapotranspiration of each pixel in the study area at high spatiotemporal resolution; extracting multi-source remote sensing features of Sentinel-2 multi-temporal spectral features during the study period, and combining them with a trained ensemble learning classification model to obtain a crop planting structure map for each ten-day period; using the evapotranspiration of the pixel as the crop water requirement for the ten-day period, selecting an effective precipitation model based on the cultivated land type of the crop in the pixel, and calculating the effective precipitation for the pixel based on the crop water requirement and precipitation for each ten-day period; using Sentinel-1 imagery of the study period combined with OTSU classification, marking pixels with increased moisture as moisture increase events in each ten-day period, and correcting the moisture increase events using a scatter plot to obtain a ten-day irrigation distribution map; and calculating the effective utilization coefficient of irrigation water in the study area based on the evapotranspiration, crop planting structure map, effective precipitation, irrigation distribution map, and gross irrigation diversion.

The application discloses a cultivated land resource protection evaluation method and system based on big data analysis, which comprises the following steps: S1, acquiring multi-period remote sensing image data and cultivated land vector boundary data; S2, generating a cultivated land segmentation map; S3, inputting an improved PerceiverIO model, introducing a cross-temporal and cross-spatial stability mechanism, and generating cross-period cultivated land potential features; S4, calculating the feature distance between different time cultivated land plots based on the cross-period cultivated land potential features, and constructing a cross-period plot matching cost matrix; S5, performing iterative solving by combining an optimal transport algorithm and a Sinkhorn iteration algorithm; S6, constructing a plot correction matrix and generating stable plot units; and S7, constructing a comprehensive evaluation index and generating a cultivated land resource protection evaluation result. The application realizes stable identification and accurate correspondence of multi-period cultivated land plots, improves the cultivated land boundary stability analysis capability and the reliability of the cultivated land resource protection evaluation result.

The application discloses a kind of multi-dimensional dynamic model under the evaluation method of soil salinization to cultivated land productivity, it is related to the field technical field of agricultural resources and environment, and the multi-source data set of fusing remote sensing, ground monitoring, meteorological and farmer management data is first constructed in the scheme, and the minimum data set of soil physical, chemical, biological properties is screened after fusion preprocessing;Soil quality index (SQI) and cultivated land productivity index (CPI) are calculated again;Subsequently, the multi-dimensional dynamic evaluation model containing key salinization index screening, effect quantification, mechanism model and crop sub-model is constructed;Finally, the productivity influence dynamic update is realized in combination with real-time data of Internet of Things, and the optimal improvement technology mode is simulated and screened by structural equation model simulation management scene. The method is comprehensive in data coverage, accurate in evaluation, dynamic in model and targeted, can reveal the influence mechanism of salinization on cultivated land productivity, provide practical decision support, and help efficient and sustainable use of saline-alkali soil.

The present application relates to remote sensing mapping and computer vision technical field, especially to the hilly and mountainous area cultivated land monitoring protection method fusing low altitude AI perception technology, including the following steps: S1, the original aerial image sequence with preset overlap rate and attitude position information of the monitoring area are acquired;S2, based on the original aerial image sequence and attitude position information, a three-dimensional dense point cloud is constructed by using a multi-view stereo matching algorithm, and the three-dimensional dense point cloud is subjected to visibility analysis, the texture mapping of the projection occlusion area is removed, and a true projection image is generated, S3, the three-dimensional dense point cloud is subjected to cloth simulation filtering, in the present application, the ground point extraction is carried out on the three-dimensional point cloud, and a digital terrain model is generated, the real ground slope value is calculated, the slope value is combined with the crop type of the land plot to realize the objective quantitative monitoring of the hilly and mountainous area steep slope cultivation behavior.

1. Name of the product subject to this design: Agricultural machinery. 2. Application of this design: for tilling, ditching, hilling, ridging, weeding, and shredding in fields. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: Design 4, 3D diagram 2. 5. The bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of design 1 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of design 2 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of design 3 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of design 4 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of design 5 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of design 6 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of design 7 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of design 8 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of design 9 is omitted. 6. Design 4 is designated as the basic design.

This invention provides a method and apparatus for evaluating the suitability of dammed land for supplementary cultivated land in the Loess Plateau. The method includes: constructing an evaluation index system for the suitability of dammed land for supplementary cultivated land; collecting multi-source data related to the evaluation index system to obtain various evaluation indicators, and standardizing the data for each indicator; the multi-source data includes a geographic information spatial dataset within the target area; calculating the weight coefficients of the evaluation indicators using a combined weighting method that integrates CRITIC and entropy weights; calculating the compromise ranking index for each dammed land to be evaluated within the target area using a compromise ranking method based on the standardized values ​​and weight coefficients of each evaluation indicator; and ranking all dammed lands to be evaluated within the target area in ascending order according to the compromise ranking index, with the ranking result serving as the order for determining the implementation of dammed land inclusion for supplementary cultivated land balance. This invention enables a comprehensive and systematic assessment of the suitability of dammed land for supplementary cultivated land.

The present application belongs to the technical field of computer vision and intelligent agriculture, and particularly relates to a remote sensing image cultivated land fine segmentation method and system fusing global-local feature perception. The method comprises: acquiring cultivated land remote sensing image data and performing preprocessing; constructing a feature encoder based on a ResNet architecture to perform feature extraction on the preprocessed cultivated land remote sensing image data to obtain shallow features and deep features; constructing a GLC-Mamba bottleneck module to perform local texture extraction and global long-distance dependence modeling on the deep features, and obtaining fused features through a gated adaptive fusion mechanism; and constructing a U-Net decoder to up-sample the fused features and fuse the shallow features through a skip connection to obtain a pixel-level cultivated land segmentation result map. The present application solves the problems of strong spatio-temporal heterogeneity and easy-to-fuzz boundary in cultivated land segmentation, maintains a low computing cost while ensuring high precision, and is suitable for large-scale agricultural condition monitoring and land resource management.

This invention discloses an analytical method for the correlation mechanism between farmland fertility resilience and ecological barriers in black soil regions, relating to the field of agricultural non-point source pollution control technology. The method includes the following steps: S1: Establishing an evaluation index system for farmland fertility resilience; S2: Finding optimal parameters and establishing a candidate library of resilience measurement methods; S3: Screening out the optimal resilience measurement method using multiple methods; S4: Analyzing the evolution law and driving effects of farmland resilience in black soil regions using the optimal measurement method; S5: Correlating farmland resilience and ecological barriers across scales in black soil regions to analyze the interaction mechanism between farmland resilience and ecological barriers. This invention, employing the above-mentioned analytical method for the correlation mechanism between farmland fertility resilience and ecological barriers in black soil regions, significantly improves the scientific nature of weight allocation and the accuracy of model prediction; it accurately identifies driving factors and their interaction mechanisms, providing a theoretical basis and technical support for the sustainable management of farmland in black soil regions.

The application relates to the technical field of land utilization, in particular to a remote sensing evaluation method and device for the yield reduction degree of cultivated land in a high-water-level coal mining subsidence area, wherein the method comprises the following steps: based on effective remote sensing images, constructing an annual water frequency index time sequence to identify water body pixels, combining a preset algorithm to identify coal mining subsidence water bodies by taking patches as objects, evaluating the yield of cultivated land based on NDVI cumulative values TI-NDVI in a growth period, constructing a spatial gradient model by buffering outward from the center of the coal mining subsidence water bodies, using an exponential function to fit the model and analyze the spatial gradient change rule of TI-NDVI, identifying the boundary of the yield reduction degree based on the spatial gradient change rule, and calculating the grain yield reduction based on the yield reduction degree. Therefore, the problem that in the related art, due to the fact that the grain yield data in a small range and unmanned aerial vehicle remote sensing are mainly used, it is difficult to evaluate the surface subsidence caused by coal mining and the influence on farmland and grain in a regional range is solved.

This invention relates to the field of operation and maintenance optimization technology, and discloses a method for intelligent monitoring and operation and maintenance optimization of cultivated land based on a low-altitude UAV remote sensing network. This method includes deploying a hexagonal topology UAV remote sensing network, fusing multi-source heterogeneous data to construct a four-dimensional spatiotemporal cube, generating high-confidence change patches and performing fine-grained classification through a dual-temporal neural network, establishing a three-level dynamic early warning mechanism, linking task assignment and rectification acceptance, forming a monitoring record chain, and iteratively optimizing the detection model based on localized factors and causal analysis. This application can achieve highly timely, high-precision, and closed-loop intelligent monitoring of cultivated land changes.

The present application relates to a kind of cultivated land map spot segmentation confidence calculation method based on new basic surveying and mapping data.The present application fuses depth with national change survey data, constructs the three-dimensional space confidence evaluation system for cultivated land map spot segmentation result.Through the introduction of area,perimeter,high difference,slope,slope and flatness,etc.,realizes the comprehensive quantitative expression of cultivated land spatial form and topographic feature.The present application realizes the system closed loop from topographic constraint,index calculation to confidence quantification,constructs the quality evaluation technology paradigm of cultivated land map spot based on three-dimensional space information,provides scientific,quantifiable solution for natural resource fine investigation and cultivated land protection monitoring.The present application can improve the reliability of classification result,improve the efficiency of national change survey.

This invention relates to the fields of big data analysis and artificial intelligence technology, and discloses a method for dynamic analysis of farmland quality based on multi-source sensor fusion. The method includes: acquiring multi-source distributed input branch data streams characterizing the operating state of a controlled system; calculating the mutual information entropy increment between each sampled branch and the global feature evolution trend; extracting a set of high-confidence branches through logical arbitration; constructing a local tangent space of the feature manifold using local tangent plane basis vectors; mapping the projection deviation vector of the damaged branch to this local tangent space and solving for the minimum value of the projection energy functional; and achieving logical reconstruction of the missing dimensions. This invention utilizes a manifold consistency reconstruction mechanism to eliminate the contradiction of topological drift from heterogeneous information sources, effectively improving the logical robustness of the analysis results of the controlled system under complex operating conditions.

The application relates to the technical field of water and soil conservation, and provides a newly-added or restored cultivated land erosion ditch treatment structure and a treatment method, which comprise a landfill body, a cultivated soil layer and a buried pipe drainage system, the landfill body is arranged in an erosion ditch to be treated, at least part of the space of the erosion ditch is filled under the premise of ensuring the flood discharge safety of the ditch, the cultivated soil layer covers the top of the landfill body and constitutes a planting layer of the newly-added or restored cultivated land, the buried pipe drainage system is arranged below the cultivated soil layer and is embedded in the upper part of the landfill body, the outer side of the buried pipe drainage system is covered with a blockage prevention layer, and the blockage prevention layer is used for converting the surface runoff and soil water flowing into the cultivated soil layer into underground water flow and discharging the underground water flow. The application greatly reduces the direct scouring force of surface water on the newly-added cultivated soil layer, fundamentally prevents the occurrence of secondary erosion, and ensures the long-term stability and sustainable utilization of the cultivated land after treatment.

A kind of protective tillage technology implementation effect quantification method relates to the field of agricultural ecological environment evaluation technology, also relates to the field of multi-source heterogeneous data processing.The present technical index system is split, the problem of insufficient information fusion capability, strong subjectivity of weight determination, lack of unified standard in quantization index construction is solved.The quantification method includes: obtaining soil nutrient data, crop vegetation index data and topographic position index in cultivated area;The multi-source data is preprocessed;Based on soil nutrient data and crop vegetation index data, soil nutrient index and crop growth index are constructed by principal component analysis;The above soil nutrient index and crop growth index and topographic position index are used as sub-index, and the comprehensive evaluation index is constructed by adopting entropy weight method, as the quantitative index of evaluating the implementation effect of protective tillage technology.The present application is suitable for the fields of agricultural ecological environment monitoring, agricultural information technology, multi-source data fusion and quantization.

This invention proposes a method for detecting land parcel changes, comprising: S1, performing edge pixel detection to obtain edge pixels of cultivated land parcels; S2, filtering redundant edge pixels from the obtained cultivated land parcel edge pixels; and S3, detecting land parcel changes. This invention also proposes a corresponding land parcel change detection system. It solves the problem of how to quickly and accurately detect changes in cultivated land parcels, particularly by eliminating the heavy reliance on large-scale cultivated land parcel mapping at different times.

The utility model relates to the field of seedling tray, especially modular vegetable seedling tray, including support plate and support mechanism, the lower end of support plate is provided with support mechanism, the upper end of support plate is provided with bearing mechanism, the downside of support plate is provided with collection mechanism, one side of support plate is provided with clamping mechanism, one side of clamping mechanism is provided with water supply mechanism, the utility model discloses through support mechanism and bearing mechanism can be adjusted height flexibly, the redundant water is collected secondary use with collection mechanism, solved the device in prior art and is mostly single -layer flat -paved design, occupies cultivated land or the area of greenhouse is big, manual watering needs frequent operation, time -consuming and labor -intensive, the uneven water control of seedling is easy to lead to water shortage or waterlogging, directly place in ground, easy because ground damp leads to flowerpot bottom waterlogging, root system rot, and the water that discharges is not recycled, causes the condition of water resource waste.

The application discloses a cultivated land non-agricultural remote sensing monitoring system and method based on multi-source feature fusion and XGBoost, and the system comprises a feature extraction module, a sample balancing module, a model training and prediction module and a post-processing module. Through the whole-process collaborative optimization of multi-source feature fusion, sample balancing, model improvement and spatial post-processing, under different terrains, on the one hand, the problem that the sample is extremely unbalanced, the missing detection rate is high and the small illegal graph spot is difficult to identify is solved; and on the other hand, the complex feature of ground objects, the interference of seasons, phenology and linear ground objects and the false alarm rate are reduced; based on the single feature extraction method, the ground object feature is constructed, the hyperparameter is adjusted by the artificial trial and error method, the collaborative optimization monitoring framework is formed, and the post-processing is not combined with the actual business logic of cultivated land protection, so that the monitoring result still cannot meet the actual application requirement.

A method for extracting crop planting structure and calculating area in irrigated areas includes: acquiring a temporally continuous and spatially registered remote sensing dataset; selecting key phenological period images of key temporal phases of target crop growth changes from the remote sensing dataset to form a key phenological period image set; constructing a labeled plot-level sample feature library by associating prior information related to spectral and index features and prior information of irrigation zones with labels; constructing a multi-temporal crop semantic segmentation network based on SegFormer, including a hierarchical Transformer encoder and a lightweight multilayer perceptron decoder, and training the constructed multi-temporal crop semantic segmentation network using the labeled plot-level sample feature library; overlaying pixel-level crop category probability maps with cultivated land plot boundary vector data, and obtaining plot-level crop types using post-processing methods; and based on the plot-level classification results, calculating the planting area of ​​each major crop in different irrigation zones, and outputting crop planting structure maps and area statistics.

The application provides a plot boundary identification method and device, electronic equipment, medium and product. The method comprises the following steps: confirming preprocessed image data, performing first scale edge detection on the image data to obtain a plurality of first scale edge detection results; performing morphological analysis and second scale edge detection on the first scale edge detection results to obtain a plurality of second scale edge detection results; and integrating the first scale edge detection results and the second scale edge detection results to obtain plot data of the image data. The method provided by the application can realize fine detection of potential cultivated land edges through two-stage edge detection and morphological analysis, and improve the accuracy of plot boundary identification.

The application discloses a black land degradation intelligent evaluation method and system based on multi-source remote sensing images, relates to the technical field of land degradation intelligent evaluation, and realizes intelligent evaluation through multi-source remote sensing data fusion and a double-branch attention deep convolutional neural network; the method first carries out pretreatment such as radiation correction and geometric registration on optical, thermal infrared and radar remote sensing images, and constructs a multi-dimensional data set containing time-series spectra, textures and ground surface temperatures; then key features are extracted in parallel through a spatial branch and a time-series branch, and adaptive weighted fusion is carried out, and finally, a pixel-level degradation grade map and a change trend report are output; the system can automatically, widely and at low cost complete dynamic monitoring of black land degradation, has high evaluation precision and strong timeliness, and provides reliable technical support for accurate protection of black land and improvement of farmland quality.