51 results about "Soil composition" patented technology

The invention relates to a road bougainvillea speetabilis intelligent fertilization supervision method and system, and the method comprises the steps: enabling collected multispectral image data and thermal imaging image data to be precisely matched with GPS coordinates, enabling soil component parameters to be aligned with the corresponding multispectral image data and thermal imaging image data, and forming a spatiotemporal data set, performing feature extraction on the multispectral image by adopting a convolutional neural network, constructing a growth attitude comprehensive analysis model, comparing a result output by the growth attitude comprehensive analysis model, namely a current growth state quantized value, with a preset standard based on historical growth data and a bougainvillea speetabilis growth rule, and calculating the missing amount of related fertilizers, a precise fertilization formula and a fertilization time node are determined by combining the current fertility condition of the soil, a control instruction is generated according to the fertilization formula and the time node, and the fertilization robot executes fertilization operation based on the control instruction and a preset path. The method has the effects of improving the fertilizer utilization rate, reducing the labor cost and improving the maintenance efficiency.

The invention provides a soil sampling device for soil analysis, and relates to the technical field of soil analysis. A depth sensing module, an intelligent sampling rod, an analysis and feedback module and a reinforcement learning module are integrated. The optimal sampling depth is predicted through the ultrasonic detection and near infrared scanning technology and the deep learning model. The intelligent sampling rod controls the sampling depth, the sampling amount, the vertical rotating force and the vertical rotating direction according to set parameters. The analysis and feedback module integrates various types of microsensors, monitors the pH value, conductivity and moisture of soil in real time, pretreats a sample, and obtains a soil component overview through spectral analysis. And the reinforcement learning module continuously updates and optimizes a sampling strategy through real-time data feedback and cloud computing. The display module visually displays real-time data, supports mode switching, planning and recording, and is simple and convenient to operate. According to the method, multiple methods such as deep learning and reinforcement learning are combined, the accuracy and efficiency of soil sampling are improved, and powerful technical support is provided for soil analysis.

The utility model relates to the field of vegetable drip irrigation equipment, in particular to a vegetable water and fertilizer integrated drip irrigation device which comprises a liquid storage tank, a fertilizer tank, a flow guide pipe, a first meter, a water inlet pipe, a second meter, a drip irrigation pipe, a hydraulic controller, a master control module and a soil tacheometer, according to the vegetable water and fertilizer integrated drip irrigation device, the first meter and the second meter are arranged on the outer side of the joint of the fertilizer tank and the liquid storage tank as well as the outer side of the joint of the water inlet pipe and the liquid storage tank of the existing vegetable water and fertilizer integrated drip irrigation device respectively, so that the amount of water and fertilizer can be accurately controlled; detection information can be transmitted to the master control module for comprehensive analysis, then the master control module is triggered to automatically control the water and fertilizer proportion at the first meter and the second meter, accurate proportioning of water and fertilizer is achieved, the quality and growth stability of vegetables are guaranteed, drip irrigation is carried out in an accurate proportioning mode, the situation of excessive fertilization is not likely to be caused, and the work efficiency is improved. And more resources are saved.

The invention relates to the technical field of ecological restoration of a coal mine in an arid region, and discloses an ecological restoration method for a waste dump of the coal mine in the arid region. According to the method, a multi-parameter environment sensing model containing soil humidity, soil components, surface temperature, vegetation indexes and regional gradient data is established, and whether ecological restoration is started or not is judged according to the model. And selecting at least one of water, a nutrient solution or a soil conditioner as a restoration medium, and quantitatively conveying the restoration medium to a predetermined area through an independent conveying path isolated from natural rainfall. The recovery area is composed of an independently-arranged conveying pipe network, the water flow direction is dynamically judged according to the gradient of the area, and natural diffusion advantage position pipe section conveying is preferentially started. During conveying, the operation time period is determined according to the medium absorption rate, intermittent conveying is executed on the selected pipe section, and the average flow in each cycle is controlled not to exceed the system reserve capacity. And when the reserve is insufficient, conveying is suspended, operation information is recorded, remaining operation continues to be completed after the reserve is recovered, and closed-loop recovery control is achieved.

This application relates to an IoT-based intelligent land remediation monitoring method and system. The monitoring method includes: acquiring satellite remote sensing elevation data and historical soil composition data of the land area to be monitored; dividing the land area to be monitored into multiple grid units and assigning grid identifiers; deploying fixed soil sensor nodes and mobile drone nodes to generate a sensor network topology; collecting real-time soil parameters of each grid unit and performing noise filtering and anomaly detection to generate a soil composition dataset; inputting the soil composition dataset and historical soil composition data into a cloud-based prediction model to output a land degradation risk score and remediation strategy; controlling the execution equipment to perform land remediation operations and monitoring changes in soil parameters after execution in real time; updating the parameters of the cloud-based prediction model and optimizing the sensor network topology based on the deviation between the changes in soil parameters after execution and the expected values. This application improves agricultural production efficiency and soil health.

A method for regulating the viability of microorganisms in soil, a method for producing microorganisms with increased viability in soil, and a soil composition containing microorganisms with reduced gene expression. [Solution] A method for regulating the viability of a microorganism in soil, comprising regulating the expression of a gene in the microorganism, wherein the gene is one or more genes selected from cbl, nhaR, crp, cadC, nemR, citR, and csuR.

The present disclosure provides a soil composition including zeolites, mineral components, activating components, and additives, wherein zeolites may include phillipsite, chabazite, and faujasite. Furthermore, mineral components may include brown tuff, coarse tuff, olivine, clay, and pyroxene, while the activating components may include calcite, smectite, volcanic glass, and feldspar. On the other hand, beneficial additives and fertilizers related additives are included in the composition of the present disclosure to improve soil health and nutrient availability. The soil composition is configured to improve plant growth and optimizing soil health for sustainable agricultural and horticultural applications. The present disclosure also provides a method for preparing the soil composition.

The invention discloses a grain and oil crop improved soil composition and a preparation device, the grain and oil crop improved soil composition comprises a mixing shell, a driving motor and a discharge valve, the top of the mixing shell is provided with a feed port and a sealed feeding door, the mixing shell is of a horizontally arranged cylindrical structure, and the outer wall of the mixing shell is wrapped with a double-layer jacket; a mixing assembly is arranged on the mixing shell and comprises a main rotating shaft, an auxiliary rotating shaft, an auxiliary stirring scraping plate and a transmission group; a material distributing assembly is arranged on the mixing shell and comprises an L-shaped dispersing pipe, a hinge seat is arranged at the bottom of the L-shaped dispersing pipe, a dispersing head is rotationally arranged on the hinge seat, and a flexible hose is arranged between the dispersing head and the L-shaped dispersing pipe; through the synergistic effect of the main stirring mechanism and the auxiliary stirring mechanism, the swing dispersion of the material distribution assembly, the jacket temperature control structure and the sealed feeding design, the problems that high-viscosity slurry is prone to adhesion and caking, dead corners are formed, cleaning is difficult and the like in the mixing process are effectively solved, and the preparation technology is particularly suitable for the grain and oil crop improved soil composition.

1. The name of the design product: soil detector. 2. The use of the design product: the design product is used for detecting soil composition and fertility, guiding agricultural planting. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This invention relates to an irrigation control method, mainly comprising: establishing a functional relationship fp between soil resistance Rx and soil voltage Vc; establishing a functional relationship fk between an irrigation index Ir and soil resistance Rx; a resistance-to-voltage conversion circuit converting the current soil resistance into a current soil voltage value; setting a reference irrigation index; obtaining a reference soil resistance value based on the reference irrigation index and the functional relationship fk between the irrigation index Ir and soil resistance Rx; obtaining a reference voltage value based on the reference soil resistance value and the functional relationship fp between soil resistance Rx and soil voltage Vc; irrigating the soil when the voltage difference between the current soil voltage value and the reference voltage value is zero; comparing the current soil voltage value with the reference voltage value; and controlling whether to irrigate the soil based on the comparison result. This invention can adapt to different soil compositions, expand its application range, and achieve energy-saving effects.

The utility model discloses a soil sampling device for archaeological, which relates to the technical field of archaeological equipment and comprises a shell, a dust collecting cavity, a collecting cavity and a feeding cavity are arranged in the shell, the dust collecting cavity is communicated with the collecting cavity through a first connecting pipe, the collecting cavity is communicated with the feeding cavity through a second connecting pipe, and a drill bit is arranged in the feeding cavity. The first sampling assembly is used for driving the drill bit to sample, an air extracting pump and a second sampling assembly are mounted at an opening of the dust collecting cavity, and the first sampling assembly comprises a spiral feeder mounted on the drill bit; according to the utility model, soil around and on the remains can be collected and sampled, and sampling can be conveniently carried out from fine gaps or the surfaces of the remains, so that the soil components on the remains can be analyzed simultaneously, and the corrosion degree of the remains at the moment can be judged according to the difference of the components of the two kinds of soil.

The application discloses a preparation method of a reclamation solidification composition and the reclamation solidification composition, and the method comprises the following steps: providing a stirring pool; constructing a CSM ground-connected wall to replace first waste soil in a geological body and obtain CSM waste material; constructing a DJM deep high-pressure jetting and stirring pile to replace second waste soil in the geological body and obtain DJM waste material; adding the CSM waste material, the DJM waste material and common fillers into the stirring pool according to a preset proportion; stirring the CSM waste material, the DJM waste material and the common fillers to form a waste soil mixture; and adding cement and water into the stirring pool according to the preset proportion and stirring to form the reclamation solidification composition. The application realizes the repeated use of waste soil by using the waste soil generated in the CSM method and the DJM method as raw materials for preparing the reclamation solidification composition, saves soil resources and reduces the construction cost of the reclamation project.

The utility model relates to the technical field of seedling raising devices, in particular to a crop seedling raising device for agricultural technical guidance, which comprises a rack, the rack comprises a moving frame, a seedling raising assembly is arranged on the moving frame, the seedling raising assembly comprises a support frame, a plurality of U-shaped seedling raising plates are inserted into the support frame, a tray is arranged below the support frame, and a water supply assembly is arranged at the bottom of the moving frame. According to the utility model, the soil is placed in the space between the U-shaped seedling raising plate and the bracket for seedling raising, and the water permeable holes and the tray are arranged, so that the influence of excessive moisture on the growth of seeds and seedlings can be prevented, and the water permeability of the soil under natural planting can be simulated; u-shaped seedling raising trays are used for separation, soil components in different seedling raising trays do not influence each other, and the influence of different soils on seedling raising can be conveniently researched; the U-shaped seedling raising tray can be lifted by using the handle, so that the seedling root development condition can be conveniently and intuitively known; by arranging a plurality of water tanks, nutrient solutions with different concentrations and different watering quantities can be applied to seedlings with different heights.

The application provides a soil component analysis system and device based on a spectrum technology, comprising a light source. In order to solve the problem that the soil samples sent to the laboratory are affected by the environment or are not properly preserved, resulting in errors in the results, the soil component analysis system is built-in the soil component analysis device. Compared with the traditional soil component analysis method, the system can perform rapid and accurate soil component analysis on the spot, without the need to take the samples back to the laboratory for processing, thereby saving time and human resources. When the electric telescopic sleeve and the electric telescopic inner tube are completely contracted, the first rotating assembly and the second rotating assembly are in the same horizontal plane with the L-shaped support column as a whole, which assists the L-shaped support column in supporting the detection assembly as a whole, and plays an auxiliary role in fixing the equipment during detection.

1.The name of the design product: soil component prediction graphical user interface of electronic device. 2.The use of the design product: for electronic device. 3.The design points of the design product: in the combination, content and interaction mode of graphical interface. 4.The picture or photo that best shows the design points: front view. 5.Omit rear view, left view, right view, top view and bottom view. 6.The use of the graphical user interface: for soil component prediction. 7.The human-computer interaction mode of the graphical user interface: in the front view, the data file to be uploaded is dragged to the position of “data upload channel”, the “execute deep analysis” button is clicked to enter the interface change state diagram 1; in the interface change state diagram 1, the “error analysis” button is clicked to enter the interface change state diagram 2. 8.Other circumstances that need to be explained: “X” in the interface is a number, a letter or a word.

This invention discloses a method for enhancing the Maillard reaction and promoting soil humus generation, belonging to the field of soil composition technology. It includes the following steps: (1) Soil collection: Soil samples are collected and impurities such as stones and plant debris are removed. The samples are then air-dried, ground, and sieved for later use; (2) Heat treatment: The sieved soil samples from step (1) are divided into multiple heating containers and heated using a programmed temperature rise method. The samples are then allowed to cool naturally to room temperature and transferred for storage; (3) Humus generation: A soil sample is weighed, and a mixed solution of NaOH and Na4P2O7 is added. The sample is extracted by shaking, and the supernatant is centrifuged and filtered through a filter membrane to obtain a humus HS solution. The humus solution is then freeze-dried to obtain HS freeze-dried powder, which is stored in a desiccator. The method of this invention can effectively induce and enhance the Maillard reaction process, causing low-molecular-weight organic substrates to undergo condensation and rearrangement reactions, thereby promoting the rapid generation of humus.

The invention discloses a raw material soil preparation device and method for soil foundation construction, and the device comprises a fence frame (1) which is used as a supporting frame body, a granulator (6) which is arranged on the fence frame (1), a mixing unit (5) which is arranged between the granulator (6) and the fence frame (1), and a sieve plate (3) which is arranged between the mixing unit (5) and the fence frame (1). The mixing unit (5) and the sieve plate (3) are mounted and supported on the granulator (6), water wetting treatment of raw material soil composition materials is realized through the mixing unit (5) and the sieve plate (3), granule preparation of the raw material soil is realized through the granulator (6), and the raw material soil composition materials are uniformly mixed through the granulator (6). The raw material soil body is in blocky body distribution of saturated water meeting the compaction requirement, and the technical problem that the raw material soil body is powder after being subjected to impurity removal treatment through a sieve is directly used is solved, so that the construction effect of a soil matrix is improved.

The invention relates to the technical field of risk assessment of weakly cemented rocks, in particular to an assessment method for underground water erosion damage of weakly cemented rocks. The method comprises the steps of collecting seismic exploration data of each detection point, calculating seismic wave characteristic coefficients of target weakly cemented rock mass layers of different depths based on the seismic exploration data, and collecting rock-soil component parameter data corresponding to each drill hole in the target weakly cemented rock mass layers, calculating a permeability coefficient corresponding to each drill hole based on the rock-soil component parameter data; performing Bayesian inversion analysis on the permeability coefficient corresponding to each drill hole to obtain the groundwater erosion damage possibility of the target weakly cemented rock mass layer, evaluating the risk of groundwater erosion damage of the target weakly cemented rock mass layer based on the groundwater erosion damage possibility, and accurately dividing the wave impedance interface of the weakly cemented rock mass. The reliability of rock mass structure detection is improved, and the real risk level of underground water erosion damage of the weakly cemented rock mass can be reflected more comprehensively and objectively.

The present application relates to the cross field of precision agriculture and artificial intelligence technology, in particular to a soil component detection system based on machine learning and infrared spectrum, which collects soil spectrum on site through a portable Fourier infrared spectrometer, constructs a feature vector after pre-processing, fuses climate, soil and crop data, a deep learning decision module extracts spectral features by one-dimensional convolution, and fuses multi-dimensional information through an attention mechanism, synchronously outputs fertilization scheme, crop suitability score and soil improvement measures by a multi-task learning subnetwork, finally, combined with an agronomic knowledge base verification, generates a comprehensive decision report containing quantitative fertilization formula, crop suitability ranking and soil improvement scheme, realizes precision agriculture guidance, and through the adoption of one-dimensional convolutional neural network to automatically extract spectral features, combined with multi-modal data fusion and multi-task learning framework, the system reaches high precision in soil nutrient prediction.

The embodiment of the invention discloses a soil component analysis method based on agricultural spectral data and a related device. The method comprises the following steps: acquiring an agricultural spectral image of to-be-detected soil; the agricultural spectral image is input to a hyperspectral unmixing network model, the hyperspectral unmixing network model comprises a coding layer and a decoding layer which are connected with each other, and the coding layer comprises a spectral feature extraction layer and a spatial feature extraction layer which are connected with a feature fusion layer; and determining the components of the soil to be detected according to the end member matrix and the abundance matrix output by the decoding layer. According to the embodiment of the invention, the agricultural spectral image is unmixed through the constructed hyperspectral unmixing network model, so that the detection accuracy of soil components is improved.

The invention relates to the technical field of sampling devices, in particular to an exploration sampling device for geological soil composition research, which comprises a shell and a sampling mechanism. The sampling mechanism comprises a sampling barrel, a push wheel, a rotating wheel and a plurality of sampling rings. The sampling barrel is arranged in the shell and is an arc-shaped barrel. And the plurality of sampling rings are sequentially arranged in the sampling barrel. Every two adjacent sampling rings arranged in the sampling barrel can be screwed with each other. The push wheel can be rotationally mounted in the shell around the axis of the push wheel and can be meshed with the sampling ring. The rotating wheel can be rotationally mounted in the shell around the axis of the rotating wheel and can be meshed with the sampling ring. According to the exploration sampling device for geological soil composition research, the sampling depth can be flexibly adjusted in the mode that the multiple sampling rings are connected in a screwed mode for extension, the placement and extension process of the sampling rings is not limited by the size of a soil pit in the horizontal direction due to the arc-shaped structure of the sampling barrel, the diameter of the soil pit does not need to be increased for increasing the sampling depth, and the sampling efficiency is improved. And the sampling burden is reduced.

The invention provides a rainfall loss parameter verification optimization method based on soil humidity grading, and relates to the technical field of disaster assessment, and the method comprises the steps: obtaining a plurality of soil hydrodynamic parameter units; constructing a dynamic parameter mapping matrix including an initial loss coefficient and an initial loss index; performing disturbance combination to generate a plurality of regional soil composition scenes; after multiple sets of initial loss parameters are called, weighted linear fusion is executed, and multiple fusion loss parameters are output; executing rainstorm peak discharge simulation, and outputting a plurality of peak discharge predicted values; calling a plurality of actual measurement values of the flood peak flow, and calculating a plurality of prediction deviation vectors; executing multi-scene parallel loss parameter iterative correction, and outputting multiple groups of corrected loss parameters; and carrying out parameter directional replacement. The technical problems that most models in the prior art are calculated based on static soil parameters and empirical formulas, real-time monitoring and dynamic changes of the soil humidity are ignored, and the space-time precision and adaptability of disaster early warning are poor are solved.

1. The name of the design product: soil detector. 2. The use of the design product: for detecting the content of soil composition. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

1. The name of the design product: detector (YY-1104). 2. The use of the design product: for detecting soil composition. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present application belongs to the field of agricultural technology, and particularly relates to a method for judging the health degree of waxberry trees. The method is characterized in that seven indexes, i.e. pH, EC, SOM, TN, AN, AP and AK, of the soil composition in the process of waxberry planting are taken as soil indexes to be characterized and recorded, each of the soil indexes is calculated to obtain a standard scoring function, the health degree index of the waxberry trees is calculated according to the standard scoring function, and the health degree of the waxberry trees is judged according to the calculation result of the health degree index. The health degree index of the waxberry trees is calculated and reflected by the soil indexes in an indirect characterization measurement mode, the health degree of the waxberry trees can be effectively judged by a non-invasive method, the method has flexibility in use, and has a high confidence.

The present application relates to a kind of three-dimensional geological BIM modeling method and device based on exploration data, method includes the following steps: obtaining the borehole data of engineering exploration, interpolation is handled to the borehole coordinate data in borehole data, the borehole point and interpolation point obtained are as discrete point, the hull profile of all discrete points is calculated, the hull profile is triangulated, further reconstructs concave shape, obtains the single layer Mesh grid of soil layer;According to the soil composition corresponding to the soil layer that borehole point passes through, single layer Mesh grid is rendered, according to the soil layer thickness corresponding to the soil layer that borehole point passes through, generate upper and lower two layers Mesh grid, construct the outer edge profile of soil layer, finally obtain the three-dimensional model of soil layer.Compared with prior art, the present application has the advantages of real data source, accurate model;Algorithm is efficient, and model generation efficiency is high;Model contains geological related data, supports subsequent analysis and prediction etc..

The utility model belongs to the technical field of greenhouses, and particularly relates to a drought identification greenhouse condition control system which comprises a greenhouse, a foundation bed furrow module, prefabricated soil, a drip irrigation system and a temperature control system, the foundation bed furrow module is integrally formed, ridge beams higher than ridge platforms are arranged on the two sides of the foundation bed furrow module, and storage guide grooves penetrating through the ridge beams in the length direction are formed in the opposite faces of the ridge beams. An arc-shaped reflecting surface with a heat reflecting coating is formed on the inner wall of the storage guide groove; by arranging the integrally-formed foundation bed furrow module, the furrow is filled with the prefabricated soil, the limitation that a traditional greenhouse is usually arranged in a ridge is broken through, the greenhouse construction site selection flexibility is facilitated, scientific tests are more convenient, soil components can be controlled according to test targets, and soil fertility unification is facilitated; by arranging the drip irrigation system and the temperature control system and combining the environmental data acquisition and intelligent analysis feedback system, the problem that the existing drought identification shed is single in environmental control means is solved.

The invention discloses a deep soil nitrogen content monitoring method, a server and a storage medium, and belongs to the field of soil component monitoring, and the method comprises the following steps: obtaining remote sensing image data of surface soil of a soil sampling point, and collecting a soil sample of the corresponding soil sampling point; performing preprocessing, spectral transformation and spectral feature extraction on the remote sensing image data, and constructing a multi-dimensional feature space; analyzing the corresponding soil sample to obtain a change rule of surface nitrogen and deep nitrogen, and obtaining a surface-deep nitrogen relation model; screening a characteristic wave band combination of which the correlation with the surface nitrogen content exceeds a threshold value from the multi-dimensional characteristic space, and establishing a surface nitrogen content inversion model; in the actual use process, after remote sensing image data are collected, the nitrogen content of deep soil is monitored through the surface layer nitrogen content inversion model and the surface layer-deep layer nitrogen element relation model. The method avoids the problems of high cost and low timeliness of traditional sampling analysis.

This invention discloses a method for safe and efficient production of crops in acidic cadmium-contaminated farmland using a silicon-calcium-based soil composition. The method includes: S1 preparing the silicon-calcium-based soil composition; S2 applying the composition to the soil surface 1-3 days before plowing and mixing it evenly, maintaining a field water holding capacity of 30%-70%, and statically maintaining this position for 10-20 days; S3 flooding the soil to a field water holding capacity of 120%-200%, maintaining this position for 15-25 days, and then allowing it to dry to 20%-30%; S4 sowing crops after plowing and managing the harvest. This invention can rapidly improve strongly acidic soils, significantly alleviate aluminum toxicity, reduce soil cadmium activity, avoid soil structure damage and nutrient loss, and achieve safe and efficient crop production. Furthermore, it uses industrial and agricultural waste as raw materials, making it low-cost, easy to apply, and in line with the concept of green and sustainable development.

A method for determining the geology at a geographical location while drilling is disclosed, which method includes the steps of:performing sonic drilling with a drill pipe, a sonic drilling head, wherein the drill pipe is coupled to the sonic drilling head and wherein the sonic drilling head has vibration means for vibrating the drill pipe;measuring the vibrations of the drill pipe during drilling;converting the measured vibrations from the time domain to the frequency domain by applying a Fourier transformation; anddetermining the soil composition at the momentary drill depth by comparing the frequency pattern from the Fourier transformation with predefined frequency patterns for different soil compositions.