272 results about "Vegetation" patented technology

The application discloses a kind of crop emergence date near real-time monitoring method and system based on timing optical remote sensing image and MACD.The method comprises the following steps: obtaining the original NDVI time series of target farmland, and carrying out outlier removal and two-stage smoothing reconstruction processing to obtain continuous reconstructed NDVI time series; for the reconstructed NDVI time series, introduce exponential smoothing difference moving average line (MACD) method, calculate the column value MACD_div line used to represent the intensity of vegetation growth trend; find the crossing date in the column value MACD_div line that meets the preset threshold condition, and identify it as the potential emergence date; further calculate the momentum parameter of each potential emergence date corresponding stage, and select the final crop emergence date according to the momentum parameter. The application effectively weakens cloud cover and noise interference, upgrades the emergence identification from amplitude determination to trend dynamics identification, and realizes the near real-time, high-precision and automatic monitoring of large-scale crop emergence date.

This application relates to the field of agricultural Internet of Things (IoT), and particularly to a method, apparatus, device, and program product for calculating vegetation indices. The method includes: receiving a user-configured vegetation index calculation task, wherein the calculation task includes at least one vegetation index to be calculated; based on a preset dependency relationship between vegetation indices and spectral channels, and combined with the vegetation indices included in the calculation task, parsing to obtain the necessary set of spectral channels required for the calculation task; acquiring the necessary spectral data corresponding to the necessary set of spectral channels, and caching the image data of the current processing row and adjacent rows in the necessary spectral data; calculating the vegetation index in the calculation task row by row based on the cached image data; and when the calculation of a single row of vegetation indices is completed, outputting the single row of vegetation indices and releasing the cached data related to the calculation of the single row of vegetation indices. This method can significantly reduce the memory usage of vegetation index calculation and improve memory utilization efficiency.

The present application relates to the technical field of land greening data management, in particular to a land greening system data information management method, comprising: arranging an ecological perception network composed of multiple source sensors in a target administrative region to collect vegetation physiology and soil environment data; carrying out denoising, interpolation preprocessing, standardization and coordinate system conversion in a data processing center to form a standardized basic ecological data set. Based on the data set, an attribute library containing multi-dimensional information such as tree species is constructed with a single plant or a reforestation plot as the smallest management unit, a dynamic three-dimensional green volume voxel model is generated in a geographic information system to reflect the spatial distribution of land greening resources. The model is used to calculate the carbon fixation and oxygen release potential values of different functional divisions, and a planning decision engine is called to generate suggestions for replanting or reforming in low potential value areas. The method effectively improves the data information processing efficiency, calls the planning decision engine to generate land greening implementation suggestions, and quickly and dynamically updates the land greening system data information.

This invention relates to the field of ecological environment management technology, specifically disclosing a refined method and system for visualizing regional vegetation carbon sequestration. The method includes: extracting land use types of a target area based on remote sensing data of land use types and biomass; determining forest areas based on land use types and establishing growth curves for the forest areas based on preset fitting curves; calculating the carbon sequestration amount of the forest areas based on the growth curves and determining the carbon sequestration ratio of different forest areas; allocating the total carbon sequestration amount to different sub-regions of the target area based on the carbon sequestration ratios, and visually converting the allocated target areas. This invention first selects a target area, calculates the carbon sequestration amount based on the forest areas within the target area, then redistributes the carbon sequestration to different areas according to land use types, and visualizes the redistribution results, facilitating the management of the area.

This utility model discloses a mine ecological greening restoration device, including a base, a planting hole at the top of the base, a fixing component at the top of the base, and a collecting component at the top of the base. The fixing component includes multiple fixing rods fixedly connected to both sides of the top of the base, a movable opening at the top of the fixing rods, a bidirectional screw connected to the inner wall of the movable opening, a drive plate connected to both sides of the bidirectional screw, an insert plate fixedly connected to the bottom of the drive plate, through openings on both sides of the movable opening, and a driven bevel gear fixedly connected to the outer side of the bidirectional screw. This utility model, by setting up a base, planting hole, and fixing component, solves the problem that existing greening restoration devices, although capable of planting plants and fixing substrates, have poor fixing effects on the substrates, making the substrates easy to move and affecting the normal growth of vegetation, thus reducing their practicality.

This invention belongs to the field of coastal engineering and ecological restoration technology. It discloses a method for optimizing the design of beach ecological restoration trenches based on hydrodynamic simulation. The method includes: collecting beach hydrological datasets, topographic datasets, and ecological datasets, and preprocessing them. The hydrological dataset includes wave data, tidal current data, storm surge data, and sediment transport data. The topographic dataset includes shoreline slope, beach elevation, underwater topography data, and sediment source storage data. The ecological dataset includes tidal flat vegetation distribution, benthic organism density, ecologically sensitive area range, and water environment quality data. This invention, through the coupled processing of hydrological, topographic, and ecological multi-source datasets, obtains hydraulic reference values ​​and topographic adaptation values ​​for the trench, directly reflecting the regional dynamic conditions and the degree of topographic adaptation, significantly reducing the workload of manual calculation and trial and error.

This invention discloses a simplified method for orchard ground cover, mulching, and mechanized precision sowing and fertilization, comprising: dividing the orchard ground into inter-row work zones and tree basin protection zones; using a seed-fertilizer co-sowing device to create strip-shaped furrows in the inter-row work zones, forming deep trenches and shallow sowing zones; applying controlled-release fertilizer to the deep trenches and sowing complementary mixed grass seeds in the shallow sowing zones; when the height of the composite surface vegetation community reaches the preset mowing height, performing mowing operations and transferring the mowed herbaceous biomass to the tree basin protection zone to form a mulch layer; measuring the mass of the herbaceous biomass transferred to the tree basin protection zone, calculating the nitrogen supplementation amount according to a preset nutrient compensation coefficient, and applying liquid nitrogen fertilizer to the inter-row work zones and tree basin protection zones. This invention enables integrated and coordinated management of orchard ground cover, sowing, fertilization, mulching, and nitrogen supplementation, improving the orchard's year-round ground cover capacity and mechanized operation efficiency.

The application relates to the technical field of slope protection, in particular to a stepped micro-ecological slope protection device for soil-rock mixed slopes, which comprises a base assembly, a supporting assembly, a vegetation module and a drainage adjusting assembly. The base assembly is combined with the slope through fixed piles to provide a stable foundation; the supporting assembly forms a stepped structure to disperse pressure and optimize the vegetation growth environment; the vegetation module adopts embedded planting boxes, which are convenient to install and replace; and the drainage adjusting assembly penetrates the device to realize efficient drainage and moisture regulation. The base assembly, the supporting assembly, the vegetation module and the drainage adjusting assembly are arranged to form a multi-level and multifunctional slope protection device. The base assembly is closely combined with the slope through the fixed piles, so that the overall stability of the device is enhanced; the supporting assembly adopts a stepped design, which can effectively disperse the slope pressure and provide sufficient light and space for vegetation growth.

The application discloses a method for plant combination screening and vegetation construction of ion-type rare earth mines based on niche complementation, and belongs to the technical field of mine ecological restoration, and comprises the following steps: S1, habitat evaluation; S2, construction of a niche index system; S3, candidate plant screening; S4, plant combination optimization; S5, vegetation construction implementation; and S6, dynamic management. The method for plant combination screening and vegetation construction of ion-type rare earth mines based on niche complementation is used, the vegetation survival rate and coverage rate of ion-type rare earth mines are improved, the improvement of soil physical and chemical properties is accelerated, the heavy metal and rare earth element residues are reduced, and water and soil loss is effectively prevented; the constructed vegetation community has the advantages of strong anti-interference ability, good self-maintenance ability, high restoration efficiency, short cycle, and the like; and ecological restoration and efficient resource utilization are considered.

A growth cycle prediction method and medium based on crop physiological mechanisms are presented. The method includes: S1 acquiring three types of multi-source heterogeneous data covering the target crop from sowing to the target growth stage: daily-scale meteorological data, daily-scale soil data, and weekly-scale remote sensing phenotypic data; S2 recursively denoising the soil data using Kalman filtering and reconstructing the low-frequency remote sensing data into a daily-scale sequence using cubic spline interpolation to achieve spatiotemporal alignment; S3 constructing four cross-source interactive features based on crop physiological mechanisms: hydrothermal coupling, light-temperature coupling, vegetation change rate, and water-fertilizer coupling, and using a gradient boosting tree algorithm to select and optimize the feature subset; S4 inputting the optimized feature subset into a two-layer LSTM network for training; S5 outputting the predicted remaining days and confidence interval; and S6 collecting actual observation data for incremental learning and updating. This method reduces the root mean square error of the key growth stage prediction to within 2.0 days, an 81% reduction compared to the traditional accumulated temperature method.

An automated computer-controlled sampling system and related methods for collecting, processing, and analyzing agricultural samples for various chemical properties such as plant available nutrients. The sampling system allows multiple samples to be processed and analyzed for different analytes or chemical properties in a simultaneous concurrent or semi-concurrent manner. Advantageously, the system can process soil samples in the “as collected” condition without drying or grinding. The system generally includes a sample preparation sub-system which receives soil samples collected by a probe collection sub-system and produces a slurry (i.e. mixture of soil, vegetation, and / or manure and water), and a chemical analysis sub-system which processes the prepared slurry samples for quantifying multiple analytes and / or chemical properties of the sample. The sample preparation and chemical analysis sub-systems can be used to analyze soil, vegetation, and / or manure samples. A soil collection system is disclosed which captures and directs samples to the sampling system for processing.

The application discloses a kind of vegetation repair methods of high-cold region soil and stone slope, solve the technical problem that the prior art construction process is complex, vegetation survival rate is low.It includes: preparation of binder and the binder is evenly sprayed on the soil and stone slope needing protection using mud spraying machine;On the soil and stone slope that spraying slope-polylactic acid three-dimensional net binder is finished;Laying soil nutrient layer;Mix the seeds of elytrigia repens, thalictrum, pot marigold, groundsel, purple-flowered needle grass and arrow leaf ligusticum, the mixed seed after processing, soil and water are fully stirred and mixed to form grass seed mud slurry, and the grass seed mud slurry is evenly sprayed on the soil nutrient layer;After seed germination, drill expansion bolt hole, chemical bolt is placed in the hole of expansion bolt, and expansion screw is drilled and fixed using.The application shows remarkable effect in improving vegetation survival rate, enhancing slope stability, simplifying construction process and reducing cost and improving biodiversity.

This invention relates to a riverbank vegetation buffer zone and its construction method, belonging to the field of ecological protection technology. The buffer zone includes multiple plant modules set along the riverbank slope, with adjacent rows of plant modules arranged in a stepped, staggered pattern. Each plant module includes a ring-shaped base plate fixed to the riverbank slope, a porous cylinder rotatably mounted on top of the ring-shaped base plate, and a planting cylinder located within the porous cylinder. The bottom end of the planting cylinder is fixedly connected to the riverbank slope. A dual-effect buffer system is provided on the porous cylinder, comprising multiple sets of outer buffer components evenly distributed along the outer circumference of the porous cylinder and multiple sets of inner buffer components evenly distributed along the inner circumference of the porous cylinder. One end of each outer and inner buffer component abuts against the outer and inner walls of the porous cylinder, respectively. This buffer zone, through the porous cylinder, outer buffer components, and inner buffer components forming a multi-level buffer structure, effectively absorbs the impact energy of water flow of varying intensities, effectively protecting the plant modules.

The application relates to a soil erosion risk assessment method, which comprehensively considers the influence of vegetation, land use, topography and rainfall and other factors on soil erosion by acquiring multi-source ecological data of each grid area in a target area. First, the vegetation coverage is determined according to the vegetation index, and the initial erosion risk level is determined in combination with the land use type to evaluate the basic erosion risk under different land use types and vegetation coverage conditions. Then, the risk correction parameters are determined by using the terrain slope and rainfall data to correct the initial erosion risk level, and the comprehensive erosion risk level is obtained to more accurately reflect the actual erosion risk. Then, the sensitive coefficient is introduced, the management priority index is calculated in combination with the comprehensive erosion risk level, and the erosion sensitivity difference of different land types is fully considered. Finally, the management priority of each grid area is determined according to the management priority index, and a scientific and reasonable decision basis is provided for soil erosion management.

This invention discloses a method for the exploration and analysis of karst collapse geological hazards, specifically relating to the field of geological hazard exploration and analysis. The method includes: after collecting current and historical images of a target area on a cloud-based collaborative platform, performing image pairing based on shooting location, shooting orientation, and coverage boundaries; dividing the overlapping areas of each image pair into land tables; and outputting image pairs and land table sequences. For land tables with the same sequence number in each image pair, extracting the boundaries of open water, wet soil, bare soil, vegetation, and shadow, and writing a single land surface marker based on the first digit of the enclosed area. This invention addresses the problem in existing technologies where inconsistent surface conditions between different exploration images are easily misjudged as collapse evolution changes by performing image pairing, land table division, single land surface marker generation, non-comparable grid re-sampling and backfilling, and comparable grid segment change determination.

This invention discloses a method for calculating the nutrient balance of natural grassland grazing systems, belonging to the field of agricultural ecology and grassland management technology. To address the problems of low accuracy and difficulty in guiding precise management in existing nutrient balance calculations for grazing systems, this invention divides spatial units by coupling vegetation spatial heterogeneity index and livestock utilization intensity index; determines the diet composition and deducts vegetation mechanical damage to calculate net nutrient output; constructs a spatiotemporal dynamic layer of excrement deposition; uses a soil animal promotion coefficient-corrected decomposition model to calculate effective nutrient return; and performs spatial overlay analysis of nutrient output and effective nutrient return to calculate the nutrient balance index of each spatial unit, generating decisions for rest grazing, rotational grazing, or supplemental feeding. This invention enables accurate calculation of the nutrient balance of grazing systems, providing a scientific basis for the sustainable utilization and precise management of natural grasslands.

The application provides a soil erosion prediction method, and belongs to the technical field of soil erosion. The method comprises the following steps: obtaining a target data set corresponding to each grid, obtaining a rainfall erosion force factor, a soil erosion factor, a slope length and slope gradient factor, a vegetation coverage factor and a water and soil conservation factor of each grid based on the target data set; calculating the soil erosion amount of each grid by using a RUSLE model based on the above factors; correcting the soil erosion amount of each grid in two adjacent grids based on the geological features and environmental features between the two adjacent grids to obtain the corrected soil erosion amount of each grid; obtaining the predicted soil erosion amount of each grid based on the corrected soil erosion amount of each grid and the soil erosion amount in each period in history; and obtaining the predicted soil erosion amount of a target region based on the predicted soil erosion amount of each grid. The application can improve the prediction accuracy of the soil erosion amount in the target region.

The present application relates to carbon storage monitoring technical field, specifically to a coastal carbon storage dynamic tracking and prediction method, comprising the following steps: S1, collecting multi-source monitoring data of coastal area and performing standardization alignment, constructing ecological factor cross-scale projection atlas; S2, identifying carbon storage jump events caused by vegetation degradation rate mutation, sediment carbon rebound or terrain sudden drop in the atlas, extracting corresponding micro-terrain disturbance structure and ecological disturbance factor combination, and constructing event structure trigger set; S3, inputting the trigger set into carbon storage structure transition prediction model, fusing ecological function area disturbance response parameters, and outputting carbon storage diffusion main path and jump section dynamic tracking graph in future period. The present application realizes accurate identification, dynamic diffusion path tracking and risk grade evaluation of coastal carbon storage jump events, and significantly improves the scientificity and application value of carbon storage migration prediction.

This invention discloses a method for assessing the impact of photovoltaic (PV) installations on grassland ecosystems based on multi-source remote sensing data. The method includes the following steps: constructing a multi-source remote sensing dataset of the PV installation area and surrounding grasslands; acquiring time series data of multi-dimensional ecological indicators such as vegetation, water, and energy; establishing multi-ring buffer zones based on the PV boundary, and extracting the variation characteristics of each ecological indicator within and outside the PV area and at different distances; and quantitatively assessing the intensity and spatial decay characteristics of the impact of PV installations on the grassland ecosystem through spatial difference analysis and comprehensive ecological impact indicators. This method enables long-term dynamic monitoring of the ecological effects of PV construction without ground-based observation, and has the advantages of high automation, strong scalability, and wide application range, providing scientific support for the ecological assessment and management of grassland renewable energy development.

The application discloses a small and micro river ecological landscape restoration system, comprising: a drop weir including a front end suspended in the downstream of a river channel; a stone cage wall for supporting the drop weir; a riprap group for constructing a deep pool-shoal sequence, including riprap blocks for forming a nutrient temporary storage area, and refuge gaps provided between adjacent riprap blocks for small fish and shrimps; and a vegetation tower. The application also discloses a small and micro river ecological landscape restoration method. The small and micro river ecological landscape restoration system and the restoration method make the water body in the river channel fall through the front end to form a water curtain in contact with air, increase the oxygen content in the river channel, inhibit the generation and reproduction of anaerobic bacteria, prevent the water body from being black and smelly, ensure the cleanliness of the water body, and increase the ornamental property. The riprap group facilitates the reproduction and refuge of small fish and shrimps, and the vegetation tower is further beneficial to the long-term stable and sustainable development of the water body ecological landscape system.

This invention discloses a dynamic adaptive ecological slope protection system and method suitable for reservoir bank drawdown zone slopes, belonging to the field of water conservancy engineering and ecological restoration. The system includes an anchoring system, a lifting vegetation trough, an integrated water collection system, and a linked water supply device. The anchoring system uses self-weight triggered self-locking anchors to achieve locking upon installation. The vegetation trough can freely rise and fall along the anchors with the water level, and contains a soil layer and a water-storing sponge layer. The water collection system automatically controls water flow through a float valve, and the linked water supply device relies on elastic expansion and capillary action to achieve water storage during submersion and automatic water supply during emergence. Construction adopts a bottom-up modular installation, using the floating plate of the vegetation trough as a working platform, eliminating the need for high-altitude facilities. This invention can adapt to the off-season hydrological rhythm of the drawdown zone, improving slope stability and vegetation survival rate. It requires no external energy or human intervention and has advantages such as convenient construction, low operation and maintenance costs, and eco-friendliness, making it suitable for ecological protection of reservoir and lake drawdown zone slopes.

This utility model relates to the field of vegetation pruning technology and discloses a garden vegetation pruning device, including a base, one end of which is fixedly equipped with a handle, and a braking mechanism is provided on the base. When the control push handle is connected to the threaded post on the first slider, the mounting seat can be moved quickly back and forth by pushing and pulling the push handle, which can prune soft vegetation. When the control push handle is connected to the threaded post on the second slider, the mounting seat can be moved back and forth by pushing and pulling the push handle under the action of the second slider and the first and second gears. At this time, the movement of the mounting seat is slow but the kinetic energy is large, which can prune hard vegetation. When the mounting seat makes reciprocating motion, the double-edged blade will move out of place with the cutting board under the drive of the blade holder, so that the vegetation can be trimmed when it is embedded between the double-edged blade and the cutting board. When encountering hard vegetation, the toothed blade can cut it off, making the device not only highly applicable, but also greatly improving the efficiency of vegetation pruning.

This utility model discloses a vegetation planting device based on pneumatic principles, including a launching device at the front end and a pressure device at the rear end. The launching device comprises a horizontally forward-facing launching tube with a forward-facing launching port at the front end and an air inlet pipe connected to the rear end. A pneumatic linkage switch mechanism is installed on the air inlet pipe. A projectile inlet is opened upwards at the rear of the launching tube and is fixedly connected to a projectile compartment. A projectile inlet control mechanism is also provided at the projectile inlet of the launching tube. The pressure device includes a piston device connected to the air inlet pipe. The piston of the piston device is connected to a launching motor via a push-pull transmission mechanism. This utility model not only enables continuous operation, reduces labor costs, and achieves rapid planting of vegetation on riverbanks, but also overcomes the limitations of steep riverbank slopes, reduces direct human involvement, and lowers the risks associated with manual labor.

This disclosure relates to a method, system, electronic device, and computer storage medium for identifying green areas around a tower base. The method includes acquiring UAV images and initial images after shadow detection; identifying a disturbance zone within the initial image based on preset tower base design data and the UAV images, where the disturbance zone represents the area within the temporary construction land area; calculating a vegetation index based on the image of the disturbance zone, and stacking the vegetation index and multiple bands from the image of the disturbance zone to obtain a multi-channel image; classifying the channel image using preset sample data to generate a classification probability map, where the classification probability map represents the probability of vegetation and non-vegetation; and calculating the green coverage rate based on the classification probability map. This application can quickly and accurately identify the green area around the tower base and calculate the green coverage rate.

The application provides a kind of building vacancy automatic identification method based on three-dimensional point cloud and image feature, it is related to image recognition technical field. Including multi-source data acquisition and three-dimensional reconstruction, ground object classification and building contour extraction, structural state feature (roof damage index, wall body inclination index, facade integrity loss index) is extracted based on building point cloud subset, structural vacancy state determination is carried out, and functional vacancy state determination is carried out by extracting yard use trace feature (weed invasion index, weed height feature, weed distribution dispersion). The application realizes the intelligent identification of structural vacancy and functional vacancy by establishing building structure integrity evaluation model based on point cloud structure feature and maintenance state quantitative index system based on three-dimensional vegetation structure.

This utility model discloses a multifunctional ecological protection component for water conservancy slope protection, comprising: a protective outer frame, a slope protection net on the front side of the protective outer frame, two symmetrically distributed pivot seats 1 fixedly installed on one side of the protective outer frame, and two symmetrically distributed pivot seats 2 fixedly installed on one side of the slope protection net. Inserted posts are movably inserted through the inner cavity of each pivot seat 2, and a push rod is fixedly connected to one side of the surface of each inserted post. This utility model uses a hinged design similar to that of the protective outer frame and the slope protection net, enabling the slope protection net to be opened. The openable mesh portion allows for vegetation replanting, fertilization, or pest and disease control in specific areas, avoiding ecological disturbance to other areas. Furthermore, in riverbank slope protection, the mesh portion can be opened to clear accumulated silt, garbage, or aquatic plants, preventing blockages. Additionally, the insertion structure of the inserted posts and slots enables quick disassembly of the slope protection net, which can be completed without the use of tools.

The application relates to a forest and grassland fire risk intelligent early warning method, system, device and medium. The method comprises the following steps: acquiring meteorological data and combustible moisture content and other multi-source heterogeneous data of a target area; extracting and fusing meteorological features, terrain features and vegetation features to form fire risk feature data; performing grid processing and weighted calculation on the feature data to obtain a real-time fire risk index and perform grade mapping, and combining historical data and weather forecasts to perform timing prediction to obtain a future fire risk grade; automatically identifying a high-risk area based on an evaluation result to generate an analysis report containing risk distribution and prevention measure suggestions; and matching an early warning template according to an analysis result to push precise early warning information to relevant areas and objects. The method can effectively solve the problems of insufficient data fusion, prediction lag and extensive early warning in the traditional early warning mode through multi-source data deep fusion, dynamic evaluation and intelligent analysis, and improve the active prevention capability of forest and grassland fires.

This invention discloses a method and apparatus for fine extraction of aquatic vegetation and landscape connectivity assessment in rivers and lakes based on high-resolution remote sensing, belonging to the field of environmental remote sensing monitoring and water ecology assessment technology. It includes: acquiring and preprocessing high-resolution satellite imagery to obtain a standardized remote sensing image dataset; extracting water body masks and aquatic vegetation coverage areas through hierarchical threshold segmentation; constructing a dual-threshold discrimination rule based on the normalized vegetation index and soil-regulated vegetation index to finely divide the distribution areas of floating and submerged plants; constructing a binary raster map of vegetation distribution based on the distribution areas; combining a preset connectivity distance threshold; calculating the landscape connectivity index of vegetation patches based on graph theory; determining the ratio of equivalent connected area to effective connected area; and completing a comprehensive assessment of the ecological effectiveness of the aquatic vegetation community. This invention is mainly used for remote sensing monitoring of aquatic vegetation in urban rivers and lakes and for assessing the effectiveness of water ecology restoration, effectively mitigating spectral interference from complex water body sediment backgrounds.

This application provides a method, apparatus, equipment, and storage medium for identifying agricultural irrigation districts based on the irrigation-enhanced evaporation stress index (IESI), relating to the fields of agricultural water resources monitoring and management and remote sensing applications. The method includes: constructing a multi-source remote sensing and auxiliary dataset for the target area; calculating potential evapotranspiration and actual evapotranspiration and coupling them with a vegetation growth stability factor to obtain quarterly IESI data for the target area; determining irrigation identification thresholds applicable to plains and mountainous areas respectively; and discriminating the IESI of the target area to generate a binary spatial distribution map of irrigated and non-irrigated areas. This application solves the problems of existing irrigation area identification methods in large-scale applications, such as reliance on statistical data or large training samples, strong empirical thresholds, insufficient adaptability to terrain and regional differences, and complex calculation processes. It achieves irrigation behavior identification centered on evaporation stress response, ensuring computational efficiency while also considering spatial accuracy and regional adaptability.