245 results about "Soil moisture content" patented technology

The application discloses a kind of rice field soil lead pollution analysis method and system, method includes: obtaining the current soil attribute data set of target rice field and soil moisture content distribution data, combine future expected water management parameters, simulate moisture content space-time variation sequence by soil water migration model;Dissolution-precipitation equilibrium tendency state index of each time step Pb is calculated based on moisture content change and soil attribute, the advancing track of Pb active front is identified;The front track is overlaid with the current rice Pb overproof risk spatial distribution, and the potential Pb activation amplification area is determined;Along the front advancing direction, strip-shaped analysis unit is divided, and Pb pollution risk evolution index is calculated by combining front arrival time and current risk value;Finally, the analysis report containing amplification area position, risk evolution order and leading factor diagnosis result is output.The technical leap of rice field Pb pollution risk from "static status evaluation" to "dynamic evolution prediction" is realized.

The application discloses a kind of based on soil compactness machine harvesting regenerated rice loss reduction stable yield method, belong to rice cultivation technical field, its method includes following steps, S1, the soil environment of different gradient soil compactness is constructed: before the first season rice harvest 15~17d, 12~14d, 9~11d, 6~8d, 3~5d respectively to target field block is drained field water treatment, while setting the control field block of first season rice growth period flooding irrigation, by different drainage timing control paddy field soil moisture content, the machine harvesting operating environment of different soil compactness is constructed;S2, determination soil compactness and soil moisture content;S3, mechanical harvesting operation;S4, yield and loss rate measurement;S5, quantitative relationship model construction;S6, soil compactness classification and water management strategy formulation.The application first takes soil compactness as core index, establishes its quantitative relationship model with soil moisture content, machine harvesting regenerated rice single yield of regeneration season, yield loss rate, realizes the quantitative, precision management of machine harvesting regenerated rice paddy field operating environment soil moisture.

This invention relates to the field of rubber tree cultivation technology and discloses a method for cultivating rubber tree buds based on scale buds. The method includes: planting rubber tree bud-grafted seedlings in a propagation nursery, controlling soil moisture and applying compound fertilizer to the roots to cultivate them into single-stem buds; when the top leaves are stable and mature but the leaflets at the growing point have not yet unfolded, removing the top of the second leaf foliage below the top leaves; after removing the top, using a shade net to provide shade during specific periods on sunny days; regularly spraying a bud-promoting fertilizer containing potassium dihydrogen phosphate and urea during the aging period of the top leaves; stopping the application of compound fertilizer to the roots and spraying a bud-strengthening fertilizer containing potassium dihydrogen phosphate before cutting the buds; after sawing the trunk and cutting the buds, applying a base fertilizer containing well-rotted organic fertilizer and calcium magnesium phosphate, and repeating the topping process. By removing the top at specific times, combined with shading and phased nutrient regulation, this invention promotes uniform bud sprouting, improves the lignification of the buds, and replenishes the tree's nutrient consumption in a timely manner, ensuring the continuous propagation capacity of the propagation nursery.

This invention discloses a method and network model for reconstructing missing soil moisture data based on cross-attention, belonging to the fields of remote sensing image processing and artificial intelligence. It involves collecting SMAP, ERA5-Land soil moisture products, and various auxiliary prediction factor data. The auxiliary data is resampled to 9km and preprocessed using multi-source data. A CASTNet model is then constructed. After inputting the preprocessed data into the model, feature extraction, refinement, and enhancement are sequentially performed through modules for spatiotemporal automatic completion, multi-factor feature refinement, and multi-scale attention enhancement. Finally, the model is trained based on a combined loss function composed of global and local losses, and the trained model is used to fill in the missing areas of soil moisture remote sensing data. The CASTNet model contains three cascaded core modules, each implementing preliminary spatiotemporal feature completion, multi-factor feature fusion refinement, and multi-scale feature enhancement, respectively. This invention fully leverages the complementary information of multi-source data, improving the accuracy of soil moisture data reconstruction and ensuring the spatiotemporal continuity and integrity of the reconstructed data.

This invention provides a method and system for optimizing soil moisture microwave data based on the influence of geographical environment. The method includes: collecting multi-source soil moisture microwave product data and geographical environmental factor data of a target area, performing standardization processing, and then conducting error assessment; selecting an optimal product combination based on the error assessment results; analyzing the response intensity of each soil moisture microwave product in the optimal product combination to geographical environmental factors, dividing the target area into strong response areas and weak response areas according to the response intensity, calculating the fusion weight of each soil moisture product using different strategies, and fusing the optimal product combination according to the fusion weight; based on the fused data, partitioning the target area according to the coupling strength between soil moisture and evapotranspiration, and downscaling using different downscaling models; then using a residual correction method to perform residual correction on the preliminary downscaled data to obtain optimized soil moisture microwave data for the target area.

The application discloses a precision seed and fertilizer same-sowing water supplementing and compacting device suitable for corn, and belongs to the technical field of seeding and fertilizing equipment. The device comprises a rack and a seeding machine, a plurality of operation units are slidably arranged below the rack; the operation unit comprises a support frame, an excavating shovel, a water supplementing assembly, a first soil covering plate, a fertilizing assembly and a compacting assembly are sequentially arranged on the support frame from front to back; the compacting assembly comprises a compacting support arranged on the support frame, and a compacting counterweight wheel is arranged below the compacting support; a compacting cross brace is arranged on the compacting support, an adjusting screw is arranged on the compacting cross brace, and the lower end of the adjusting screw is connected with the compacting counterweight wheel through a guide pin. The device can supplement water according to the soil moisture content, meet the corn seeding conditions, and realize the synchronous live sowing of corn seeds and granular fertilizers through the precise seeding and fertilizing assembly. The compacting counterweight wheel is used for compacting the soil after corn seeding, so that the soil moisture is preserved and improved, the seed germination is promoted, and the corn emergence rate is improved, and the purpose of one-time full seeding and full and vigorous seedling is achieved.

This invention discloses an integrated soil turning and leveling machine for paddy fields, relating to the field of agricultural machinery technology. It includes a frame, and further includes: a walking component mounted on the frame, capable of intermittent movement and stopping; a soil turning component located inside the frame, connected to the walking component, which drives the turning component to turn the soil in the paddy field when the walking component moves; a leveling frame located at the rear of the frame, fixedly connected to the frame by two mounting brackets, with a mounting bracket fixed to the top of the leveling frame, and channels provided on both the front and rear walls of the leveling frame; and a leveling component located inside the mounting bracket. This invention enables continuous automated operation of soil turning and leveling in paddy fields. Utilizing the positive pressure formed inside the leveling frame, it forces water to penetrate more fully into the lower soil layers, increasing soil moisture content and achieving a well-drained soil condition.

This invention discloses a method and system for in-situ calibration and prediction of soil moisture based on multidimensional features. The system includes a multi-source data acquisition module, an edge computing and control module, a power supply module, a wireless transmission module, a cloud server module, and a user interaction display module. The multi-source data acquisition module is used to sense environmental physical quantities in real time. The edge computing and control module is used to collect data from various sensors, perform analog-to-digital conversion and local preliminary cleaning, and transmit the data to the cloud server. The user interaction display module is used to receive early warning information and issue control commands. The wireless transmission module is used for long-distance, low-power wireless data upload. The power supply module provides power to all modules. The cloud server module is used to execute a multidimensional environmental feature error calibration model and an LSTNet deep learning prediction model, performing in-situ calibration and prediction of the data. This invention can not only accurately track historical change patterns but also solve the problem of low model sensitivity to short-term abrupt changes.

The utility model belongs to soil detection technical field, concretely relates to a kind of anti-clogging soil moisture rapid detection sampler, including the sampling cylinder for collecting soil, fixed mounting the connecting seat on sampling cylinder, the movable rod of slidingly being set in the limiting cylinder and fixed mounting in movable rod bottom end for the work plate used for loosening soil, the diameter of work plate is equal to the inner diameter of sampling cylinder, and there is vent hole on work plate, there is vent groove on connecting seat, there is cavity in work plate, and movable assembly for shielding vent hole is arranged in cavity. Through the setting of sampling cylinder, movable rod and work plate, the soil jammed in sampling cylinder can be loosened, and the smooth progress of subsequent sampling is ensured.

The present invention discloses a CEEMDAN-based method for screening and monitoring soil moisture stress in farmland, characterised by the steps: preprocessing of remote sensing images, construction of NDVI long time series, CEEMDAN decomposition, calculation of statistical descriptors, screening of soil moisture stress sequences, ground data measurement, construction of soil moisture stress characteristic curves, fitting of soil moisture stress response characteristic curves and predicting the content of soil moisture stress. The invention adopts CEEMDAN decomposition, which solves the problems of noise residue and low reconstruction accuracy in the previous methods, and the high reconstruction accuracy of decomposed component data is more conducive to capturing the transient effects of soil moisture stress, and realizes the screening and extraction of soil moisture stress by combining with the ground measured data. The inverse model of soil moisture content is fitted by combining the effects of multiple indicators, and the CEEMDAN algorithm with remote sensing technology tools to achieve accurate monitoring of soil moisture in a large area of farmland.

The utility model discloses an automatic irrigator that can induct crop water demand, including water delivery pipe and a plurality of branch pipes set on the conveying pipe, the branch pipe is provided with solenoid valve, the branch pipe is provided with the shunt pipe on one side away from water delivery hose, the bottom of shunt pipe is provided with a plurality of equidistance distribution's irrigation head. The utility model discloses, through the real -time feedback soil moisture state of soil humidity detection stick, through the threshold value of soil sensor setting, when soil humidity is less than the set threshold value, just opens the solenoid valve on the corresponding branch pipe, and irrigates, when soil humidity is enough greater than the valve value, can stop in time, avoid excessive irrigation, and the setting of shunt pipe makes the moisture uniform infiltration in the soil of the pot culture, avoids partial overwetting or drought, and water delivery pipe can be connected with a plurality of branch pipes, and can automatically irrigate a plurality of crops, and the pot along the clamp plate is convenient for integrating and fixing the controller, solenoid valve, sensor at the edge of flowerpot, reduces the space occupation, is suitable for the compact scene such as family pot culture.

This invention relates to a drying oven, and more particularly to a soil drying oven for determining soil moisture content. It includes a base frame, a drying chamber mounted on top of the base frame, an air box mounted on one side wall of the drying chamber, sample containers for holding moisture-containing soil samples spaced apart at the bottom of the drying chamber, and a first cylinder and two lifting rods spaced apart at the top of the drying chamber. The piston rod of the first cylinder slides through the drying chamber, with one end extending into the inner side of the drying chamber connected to a connecting plate. The lower ends of the lifting rods movably penetrate into the drying chamber and are connected to a squeezing cylinder, which is located directly above the sample containers. The lifting rods and the connecting plate are rotatably engaged. The first cylinder drives the connecting plate, lifting rods, and squeezing cylinder to move vertically downwards, causing the squeezing cylinder to extend into the sample containers and physically crush the soil that has clumped due to moisture content. This increases the contact area between the soil and hot air, accelerates the evaporation of internal moisture, and significantly improves drying efficiency.

The invention discloses a crop irrigation short-term prediction method and system based on fuzzy control, and relates to the technical field of intelligent agriculture and irrigation control, and the method comprises the steps: collecting weather, multi-depth soil moisture content and field time sequence data of a crop growth stage, and obtaining irrigation feedback; processing the data, and inputting a time sequence prediction model to output water demand prediction values of one to three days and confidence obtained by mapping historical verification errors; fuzzifying the water demand predicted value, the real-time root zone moisture content and the growth stage index, performing weighted deduction and fuzzification based on a fuzzy rule base with a rule dynamic weight, and outputting planned irrigation duration or irrigation amount; and calculating the actual water consumption and updating the dynamic weight of the rule in the post-irrigation evaluation time window according to the water balance and the root zone soil moisture reserve variation. Through confidence risk suppression and post-irrigation closed-loop self-tuning, the stability of short-term prediction driving irrigation decision is improved, the over-irrigation and over-seepage risks are reduced, and the utilization efficiency of irrigation water is improved.

The application discloses a root zone soil moisture estimation method based on remote sensing driving and moisture hysteresis characteristic simulation, an electronic device and a medium. The method can comprise: acquiring remote sensing data with the same time resolution and spatial resolution, including remote sensing surface soil moisture data, remote sensing evapotranspiration data, potential evapotranspiration data, rainfall data and saturated soil humidity; calculating root zone soil humidity based on the remote sensing surface soil moisture data, and then calculating an estimated value of the evaporation ratio based on the root zone soil humidity and the saturated soil humidity; calculating the remote sensing evaporation ratio based on the remote sensing evapotranspiration data and the potential evapotranspiration data; establishing a target function to calculate an error, and when the error is less than a set threshold, outputting the root zone soil humidity. The application introduces the remote sensing evaporation ratio to exert physical constraints to embody the influence of vegetation and improve physical rationality, and constructs a multi-constraint target function optimization model parameter to improve the estimation accuracy and reliability of the remote sensing evaporation ratio.

The present application belongs to the technical field of hydrological and meteorological monitoring, and particularly relates to a regional rainfall monitoring method and system based on environmental neutron flux. By monitoring the environmental neutron flux, the rainfall intensity under the time change rate of the current environmental neutron flux is determined by using the relationship between the rainfall intensity and the time change rate of the environmental neutron flux, thereby avoiding the hysteresis problem of the traditional indirect inversion through soil moisture, realizing the rapid and direct monitoring of the rainfall intensity, and realizing the high-precision seamless rainfall monitoring of a large-area region through sparse station distribution, greatly reducing the construction and operation and maintenance costs, and realizing the continuous monitoring of the regional rainfall with a spatial resolution of hundreds of meters and a time resolution of 1 minute, thereby greatly improving the spatial and temporal resolution of the rainfall monitoring.

This invention discloses a method and system for soil moisture content inversion based on multipath low-frequency acoustic waves and deep learning. The method is applied to a soil moisture content detection system. The system includes a central control module, a low-frequency acoustic wave transmitting module, an acoustic wave receiving and amplifying module, a multi-channel remote communication module, and a data processing and inversion module. The method includes: the central control module controlling the transmitting module to transmit multipath low-frequency analog acoustic wave signals and recording the transmission parameters; the receiving module receiving the acoustic wave signals passing through the soil, amplifying and converting them from analog to digital before uploading them to the central control module; the central control module calculating acoustic features and sending them to the data processing module; the data processing module extracting acoustic feature parameters and constructing spatial location information based on the acoustic wave rays, and using a deep neural network to invert and obtain the two-dimensional spatial distribution of soil moisture content. This invention achieves effective detection of regional soil moisture content, with high detection accuracy and engineering applicability.

The application provides a hydrothermal soil humidity coupling regional agricultural drought monitoring method and system, which comprises the following steps: 1, collecting soil humidity data and meteorological element data of a research area; 2, determining the time scale value with the highest correlation in different seasons by considering the correlation between the accumulated hydrothermal factors and the soil humidity in different time scales by means of the Pearson correlation coefficient method; 3, calculating the lag time of soil moisture to precipitation and temperature by means of the cross wavelet transform method; 4, constructing a hydrothermal soil humidity coupling drought index RADI by means of a binary Copula model; and 5, dividing different drought grades to represent the regional agricultural drought conditions. The application evaluates the reliability and applicability of RADI in representing regional agricultural drought from the time dimension and the space dimension, provides more fine data support for the evolution characteristics of agricultural drought, and has important significance for regional grain production, ecological safety and environmental protection and the like.

The application discloses an irrigation system for adjusting soil moisture by means of meteorological data information, and relates to the technical field of agricultural irrigation. The system comprises a historical meteorological data processing module, a crop water requirement model optimization module, a soil moisture balance model optimization module, an irrigation decision model optimization module, a multi-modal fusion model optimization module, an execution control module and an irrigation device. The system calculates the ET0 value by the Penman-Monteith formula, optimizes the soil moisture model in combination with the precipitation intensity duration correction factor, dynamically correlates the crop coefficient and meteorological elements, constructs the irrigation water function based on the meteorological forecast and real-time monitoring data, introduces the disaster early warning mechanism to adjust the irrigation timing, adopts the historical meteorological feature fusion neural network, reduces the prediction error through cross validation, and realizes the accurate matching of soil moisture and crop water requirement. The application integrates multiple source meteorological parameters, optimizes the simulation precision of water cycle, improves the irrigation efficiency, and improves the efficiency of maintenance of the sprinkler equipment by replacing the sprinkler equipment without shutdown.

The application discloses a kind of dry cultivation potato M ridge mechanized planting method, belong to potato planting field, comprising: first, the terrain slope of planting plot is collected, topological skeleton curvature is calculated after filtering, clustering extraction topographic feature point, construct weight matrix to obtain weighted slope, simultaneously obtain seed potato characteristic tensor, combined with soil moisture content, obtain ridge height, fertilization depth and cover thickness;Again, time series data such as leaf water potential, rainfall intensity are synchronously collected, time domain vector and frequency domain matrix are constructed after wavelet decomposition and empirical mode decomposition, generate stress tensor and calculate its Frobenius norm as state machine trigger index;Finally, the index is acquired in real time, when threshold is reached, start three-level regulation, each regulation is provided with boundary constraint;Solve the problem that ridge body parameter in traditional planting is poor in adaptability, water management is fixed and stress regulation is not accurate, etc., improve the scientific and mechanized level of dry cultivation potato planting.

The application discloses a kind of based on equivalent exchange layer's runoff nutrient concentration estimation method, steps include: step 1: set up equivalent exchange layer theoretical framework, and based on equivalent exchange layer depth establishes nutrient loss prediction model;Step 2: perfect the related parameters of nutrient loss prediction model, establish estimation model;Step 3, in practical application, the estimation model three expressions of step 2 are substituted into formula (13) of step 1, then input the data collected in situ, calculate the change process of nutrient concentration using formula (13), namely, this application method greatly simplifies the calculation workload of nutrient loss process, combined with nutrient loss prediction model and estimation model, only need one rainfall data, determine rainfall intensity, initial soil moisture content, outlet flow, runoff time and initial soil nutrient concentration can simulate the nutrient loss process.

The present application relates to the field of ecology, water resources management and remote sensing technology, and provides an integrated estimation method and device for ecological water demand and water supplement. The method comprises: performing deviation correction or fusion processing on precipitation, evapotranspiration and soil moisture content data respectively; determining a reference evapotranspiration based on the obtained consistent driving field and constructing a baseline vegetation correction coefficient, performing residual correction on the correction coefficient under the condition of no water stress, and determining the ecological water demand according to the corrected vegetation correction coefficient and the reference evapotranspiration; inputting the consistent driving field, the ecological water demand and the remote sensing vegetation observation information into multiple discrimination gates, performing logical operation on the discrimination results, and dividing each pixel into a multi-level water supplement priority label; determining the total loss term based on the consistent driving field, the ecological water demand and the water supplement priority label, and determining the ecological water supplement. The problem that the ecological water supplement accounting in the prior art is difficult to meet the water conservation constraint and is prone to systematic bias is solved.

The application belongs to the technical field of alternate irrigation, and particularly relates to a water and fertilizer integrated irrigation method, system and device, which comprises the following steps: dividing ridge furrows into two irrigation areas according to odd and even numbers; obtaining crop growth information to formulate an irrigation scheme; selecting an initial irrigation area to perform irrigation according to soil humidity and a preset critical humidity; calculating a basic irrigation period and correcting the target irrigation period through soil permeability, combining rainfall forecast to make a forward decision to determine the next round of irrigation time; and performing irrigation according to actual rainfall and current soil humidity after reaching the scheduled time. The application realizes alternate irrigation through odd and even partition, calculates the irrigation period by using the principle of soil water balance, makes a forward decision and closed-loop verification by combining rainfall forecast and actual soil moisture, and fully utilizes natural rainfall while reducing the number of artificial irrigation on the premise of guaranteeing the water demand of crops.

This invention discloses a method for simulating soil relative humidity based on meteorological indices, relating to the field of soil moisture simulation application technology. The method includes: acquiring daily meteorological data of the target area and calculating the evapotranspiration index of previous precipitation; constructing a logistic function relationship between the previous precipitation evapotranspiration index and soil relative humidity based on the S-shaped variation characteristics of the soil moisture absorption process; fitting the parameters of the logistic function using soil relative humidity observation samples to obtain a soil relative humidity meteorological simulation model for outputting soil relative humidity simulation results. This invention solves the problems of existing drought indices such as SPEI and SAPEI failing to accurately reflect the daily dynamic changes in farmland soil moisture and the inconsistency between drought levels and actual agricultural soil moisture.

The present application relates to the field of agricultural planting irrigation technology, in particular to a kind of citrus water-saving cultivation method based on green production.The method obtains root system spatial distribution dielectric constant matrix through multi-channel time domain reflection sensor array, obtains wet body three-dimensional volume data through soil moisture dielectric sensor;Establish the infiltration model with drip irrigation working pressure and pulse duration as independent variables;Root system spatial distribution dielectric constant matrix and wet body three-dimensional volume data are calculated by spatial overlap rate, when the overlap rate of specific depth soil layer is lower than the preset threshold, the working pressure and pulse width of corresponding depth drip irrigation pipe are calculated and adjusted according to the infiltration model, so that the wetting front migration trajectory and high-density root system distribution space coincide.The present application eliminates the spatial misplacement of fixed wet body and irregular root system distribution, reduces the non-root area invalid water infiltration and deep seepage.

The application discloses a kind of based on ensemble soil conversion function model's soil hydraulic parameter evaluation method, including the following steps: determining the required predictor and multiple pressure water head, from global soil basic attribute database NCSS extraction corresponding pressure water head under measured soil moisture content data and predictor;Pressure water head and corresponding soil moisture content observation value are formed into data pair, and bootstrap resampling method is used to extract data;Select four existing single PTF model, calculate the parameters of each single PTF model respectively;Each parameter of single PTF is endowed with a weight, and the value of each parameter in ensemble PTF model is calculated respectively, so as to obtain weighted ensemble PTF model;The ensemble PTF model is verified, and the calculated soil moisture content is compared with the measured soil moisture content under corresponding pressure water head to verify.

The application discloses a kind of for forestry nursery stock transplanting after pipe maintenance regulation and control system and method, belong to forest seedling raising technical field.The application obtains total value of fertilization authority by soil moisture content and soil conductivity, and judges whether it is higher than preset authority threshold, if not, then store fertilization task temporarily, if yes, then carry out fertilization regulation and control, after fertilization, the change condition of soil moisture content is continuously monitored, whether to dynamically adjust basic fertilization amount and fertilizer solution concentration is determined, then respectively obtain seedling absorption effect index and root health index, then judge whether seedling absorption effect index belongs to absorption effect range, determine whether to adjust fertilizer solution concentration, finally judge whether root health index belongs to preset stage interval, determine whether to adjust current fertilization amount, improve the linkage control relevance of water management and fertilization management, solve the problem that the linkage control relevance of water management and fertilization management in prior art is lower.

This invention relates to the field of construction resource scheduling technology, specifically to a method and system for scheduling water conservancy construction equipment. The method includes the following steps: acquiring site point cloud and soil data to construct an environmental resistance field; calculating a dynamic efficiency matrix by combining equipment dynamic parameters and the resistance field; generating an initial time sequence chain based on the efficiency matrix and calculating the overlapping volume of the equipment's three-dimensional spatial envelope; if overlap exists, adjusting the operation time according to priority to generate a conflict-free scheduling instruction set. In this invention, by constructing an equipment passage resistance model that integrates terrain slope and soil moisture content, the rated efficiency parameters of different machine models in specific operating areas are corrected in real time, solving the problem that static scheduling cannot adapt to environmental changes. Simultaneously, a spatiotemporal conflict detection logic based on the three-dimensional operating envelope surface is introduced, automatically generating priority avoidance or staggered operation instructions when overlapping of multiple machine operating trajectories is detected, thus realizing conflict-free collaborative operation of equipment clusters in complex water conservancy scenarios.