288 results about "Field soil" patented technology

The invention discloses a soil element spectrum detection analysis method and system based on machine learning, and belongs to the technical field of smart agriculture. Field soil element data, plant growth data and environment data are obtained, and an element mineralization release model, an element loss model, a plant absorption model and a pollution element influence model are constructed; the method comprises the following steps: evaluating element mineralization release amount, plant element absorption amount and influence of harmful elements on plant absorption, constructing a soil element content prediction model, introducing the mineralization release amount, element loss amount, plant absorption amount and pollution element influence into the soil element content prediction model to calculate future soil element content, and constructing a fertilization time prediction model. The future soil element content is introduced into the fertilization time prediction model to evaluate the fertilization time, the fertilization time is predicted by coupling the soil element dynamic evolution and plant growth absorption and combining the nutrient demand characteristics of the plant in different growth states, and the plant planting fertilization efficiency is improved.

The invention discloses a microbial agent and a method for repairing cadmium-polluted rice field soil by using the microbial agent, relates to the technical field of repairing cadmium pollution of rice field soil, and solves the problem that the cadmium metal enrichment capacity of duckweed is limited due to the fact that the duckweed has certain endurance capacity to cadmium stress. The microbial agent comprises bacillus subtilis ATCC6633 and pseudomonas aeruginosa ATCC27853, and the mass ratio of the bacillus subtilis ATCC6633 to the pseudomonas aeruginosa ATCC27853 is 2: 1, and the method comprises the following steps: step 1, spreading the microbial agent on the surface layer of cadmium-polluted rice field soil, then mixing the microbial agent with the rice field soil, raking the rice field soil, adjusting the water-holding capacity of the rice field soil, applying a base fertilizer, and irrigating the rice field. According to the method, the cadmium tolerance of the duckweed can be promoted, so that the enrichment capacity of the duckweed on cadmium is promoted, the remediation capacity of the duckweed on cadmium-polluted soil is improved, the cadmium content in the soil can be reduced, and the content of metal cadmium in rice is also reduced through a competitive cadmium absorption way.

The invention discloses a tobacco field soil acidification early warning treatment system based on Internet of Things, and relates to the technical field of intelligent agriculture Internet of Things, and the system comprises an Internet of Things sensor network which is deployed in a tobacco field area and is used for collecting soil pH value, temperature, humidity and calcium and magnesium ion concentration data in real time. According to the tobacco field soil acidification early warning treatment system based on the Internet of Things, the tobacco growth stage sensitivity coefficient, the regional acidification historical trend and real-time monitoring data are dynamically fused, a self-adaptive early warning threshold value is generated through a nonlinear product algorithm, and the problem of early warning lag or false alarm caused by a fixed threshold value is solved; according to the method, a dual verification mechanism of trend deviation test and virtual governance simulation is combined, abnormal fluctuation interference is screened out through a rigid rule, strategy feasibility is pre-judged, it is ensured that a governance scheme has both accuracy and robustness, and the problems that governance resources are mismatched and the effect is substandard are solved.

The invention discloses an ecological restoration effect evaluation method and system based on satellite remote sensing, and the method comprises the steps: collecting the satellite remote sensing data and field soil data of a preset region, and taking the remote sensing data of the preset region within a specified time as to-be-analyzed data; calculating a time sequence deviation and a contrast ratio based on the satellite remote sensing data to obtain a grading region; performing deviation correction on the satellite remote sensing data according to the field soil data in the grading region, and inputting the corrected satellite remote sensing data into a space-time ecological development prediction model to obtain ecological development prediction data; performing restoration uncertainty analysis according to the ecological development prediction data and the field soil data to obtain an ecological restoration effect confidence coefficient, and performing elastic capability analysis according to the ecological restoration effect confidence coefficient and the satellite remote sensing data to obtain an ecological elastic index; and constructing a time-varying ecological restoration effect evaluation model according to the ecological elasticity index, and outputting an evaluation result based on the to-be-analyzed data.

The invention belongs to the technical field of data processing, and particularly relates to a rice field soil emission reduction potential estimation method and system based on carbon-nitrogen coupling and a medium, and the method comprises the steps: collecting rice field nitrogen application information in a target area through literature statistics, dividing rice fields with similar nitrogen application into the same type, and selecting a plurality of typical areas from each type; carrying out soil sampling at fixed intervals in the typical rice field area, analyzing the nitrogen concentration level of the soil, and obtaining representative samples; performing soil column experimental simulation by using the representative sample, and estimating the average emission of specific gas; and determining significant influence factors, setting different carbon-nitrogen coupling situations to carry out an orthogonal simulation experiment, quantifying factor importance, carrying out weighted accumulation to obtain a comprehensive emission estimation value, and evaluating the carbon-nitrogen coupling-based biochar rice field emission reduction capability. The method can effectively estimate the rice field soil emission reduction potential.

The invention provides a method and a system for estimating organic carbon reserve change of soil in a vegetable field in a short time, and belongs to the technical field of soil measurement. The method comprises the following steps: acquiring net ecosystem carbon income and expenditure (NECB); and estimating the organic carbon reserve of the vegetable field soil by using net ecosystem carbon income and expenditure (NECB). According to the method, the organic carbon reserve of the soil in the vegetable field can be quickly estimated, the influence of different farming measures on the organic carbon reserve of the soil in the vegetable field in a short period can be known, and farmers and agricultural managers can optimize management measures such as fertilization, irrigation and planting modes; carbon emission and fixed conditions of a farmland ecosystem can be determined, so that the speed and the degree of climate change can be better predicted, and reasonable vegetable planting management measures can be taken in time.

According to the rice field methane emission prediction method based on the CH4MN model, the influence of the rice field methane emission microorganism process and soil nitrogen is considered, the uncertainty of simulation is reduced, and rice field methane emission is accurately predicted. Comprising the following steps: S1, acquiring rice field agricultural production input, water management measures, meteorological data, observed rice field soil environment information, rice information and microorganism information as input data of a CH4MN model; s2, based on a CH4MN model algorithm, calculating a substrate source and a soil environment required by methane generation, and the influence of soil nitrogen on organic matter decomposition; s3, calculating the influence of soil oxidation reduction potential, microorganisms and rice plants on methane generation and oxidation based on a CH4MN model algorithm; s4, calculating a methane generation rate and an emission rate based on a CH4MN model algorithm by using the methane generation and oxidation influence factors calculated in the step S1-3; and S5, verifying the CH4MN model precision based on point observation information.

The invention discloses a method for repairing arsenic-cadmium combined polluted rice field soil, which comprises the following steps of: reducing the redox potential Eh value of the soil to-100 to-300mV by controlling the height of a flooded water layer of the polluted soil and adding a reducing agent, reducing arsenic in the soil into trivalent arsenic, and simultaneously constructing an indigenous microbial community with high arsenic methylation capability; oxidizing by draining and drying, methylating trivalent arsenic by indigenous microbial communities, and gradually volatilizing arsenic through methylation; and applying a carbon-based functional biological membrane mainly comprising a cadmium passivation flora to stably passivate cadmium. According to the method, the arsenic methylation capacity of microorganisms is improved by precisely regulating and controlling the Eh value, in-situ passivation of cadmium is enhanced through the synergistic effect of the carbon-based carrier and the composite flora, synchronous enhancement of arsenic methylation volatilization and cadmium biological membrane passivation is achieved, the difficulty that an arsenic and cadmium pollution treatment technology is'helpful 'is converted into an acting point of technical breakthrough, and the method is suitable for large-scale popularization and application. The arsenic and cadmium co-treatment of the combined polluted soil is realized.

The invention discloses a narrow foundation pit upheaval resistance stability calculation method, which comprises the following steps: acquiring actual length, width and depth dimensions of a foundation pit and a consolidation undrained strength index, cohesion ccu and an internal friction angle phi cu of a field soil layer, and calculating a type critical width according to an improvement formula considering the internal friction angle of soil and a first width calculation coefficient, and whether the foundation pit is the narrow foundation pit or not is determined according to the comparison result of the actual foundation pit width and the type critical width. When the actual foundation pit is determined to be the narrow foundation pit, the width of a sinking soil body on the side face of the foundation pit is reversely solved through an improvement formula considering the internal friction angle of soil and the width of the actual foundation pit, and the upheaval-resistant stability coefficient of the narrow foundation pit based on the foundation bearing capacity mode is calculated and compared with the upheaval-resistant stability coefficient of the arc sliding mode. And taking the smaller value as the anti-upheaval stability coefficient of the narrow foundation pit so as to evaluate the anti-upheaval stability of the pit bottom of the foundation pit. Therefore, the problems that in the related technology, the judgment standard of the narrow foundation pit and selection of the slip plane are unreasonable, preconditions for checking calculation according to the narrow foundation pit design are unknown, and the friction angle in the stratum is not considered are solved.

The invention discloses a winter wheat field soil fertility evaluation data processing method based on comprehensive weight calculation, and relates to the technical field of data processing, and the method comprises the steps: S1, collecting nutrient content and moisture retention data from field soil through a sensor network, performing grouping processing on the acquired nutrient content and moisture retention data by adopting decision node splitting and entropy calculation to obtain a soil fertility layering result; s2, according to a soil fertility layering result, acquiring root depth and leaf moisture content indexes of the winter wheat in different layers of soil from crop monitoring equipment, analyzing association strength of the root depth and leaf moisture content indexes and fertility layering by adopting leaf node classification and feature selection standards, and determining a fertility contribution coefficient; according to the winter wheat field soil fertility evaluation data processing method based on comprehensive weight calculation, efficient resource allocation and stable yield are realized, and the drought resistance and resource utilization efficiency of winter wheat in a drought environment are remarkably improved.

The invention discloses a method for extracting plant available cadmium in neutral-alkaline rice field soil, which comprises the following steps: naturally air-drying the soil, grinding and sieving to obtain a soil sample, weighing the soil sample, adding deionized water to enable the water content of the soil to be 35-110% of the maximum water-holding capacity of the soil, balancing at room temperature for 12-48 hours, adding a calcium chloride solution, oscillating and extracting at constant temperature, and filtering to obtain the plant available cadmium in the neutral-alkaline rice field soil. And filtering to obtain an extracting solution, measuring the concentration of cadmium in the extracting solution, and calculating the content of the plant available cadmium in the measured soil sample according to the measured mass of the soil sample and the measured concentration of cadmium in the extracting solution. The method is easy and convenient to operate and low in cost, the change characteristics of the plant effectiveness of cadmium in the neutral-alkaline rice field soil in a field water management mode can be well reflected, and the measured plant effective-state cadmium content in the neutral-alkaline rice field soil and the rice cadmium content have a better linear correlation relationship.

The invention provides a waste slag field soil erosion determination method based on a three-dimensional model, and relates to the technical field of engineering construction, and the method comprises the following steps: obtaining an initial terrain image; constructing a three-dimensional vector model of the waste slag field; a plurality of image control points are arranged on the periphery of the waste slag field; installing a plurality of fixed oblique photogrammetry devices with three-axis attitude control; the method comprises the following steps: regularly collecting multi-angle image data of a waste slag field by using an oblique photogrammetry device, obtaining image data of different visual angles, and carrying out encryption matching on the collected multi-angle image data until a preset coordinate resolution requirement is met; processing the matched image data to generate three-dimensional point cloud data, and utilizing the three-dimensional point cloud data to construct a three-dimensional irregular triangulation network model of the waste slag field; calculating elevation change in a preset time interval; adopting a numerical analysis method to extract change data of the waste slag body; and evaluating the stability of the waste slag field according to the change data. According to the invention, high-precision, omnibearing and dynamic monitoring of the waste slag field can be realized.

The invention discloses a method and system for evaluating the influence of long-term fertilization on rice field soil heavy metals, and the method comprises the steps: obtaining rice field soil data through a sensor, and obtaining a standardized soil physicochemical property data set and a heavy metal content data set; according to the standardized soil physicochemical property data set and the heavy metal content data set, obtaining a feature vector set reflecting correlation between soil physicochemical properties and heavy metal behaviors; aiming at the feature vector set, obtaining a prediction model for representing the influence of the fertilization mode on the heavy metal mobility; if the heavy metal effective state content output by the prediction model exceeds a preset bioavailability threshold value, classifying the soil physicochemical property data set, judging the influence weight of the soil pH value and the organic matter content on the cadmium mobility, and obtaining the classified soil environment risk grade; and according to the classified soil environment risk levels, obtaining comprehensive rice field soil heavy metal pollution evaluation indexes. The pertinence and effectiveness of pollution control are remarkably improved.

The embodiment of the invention discloses an unmanned aerial vehicle image-based hexagonal grid unit soil salinity assessment method, which comprises the following steps: acquiring multispectral images of a cotton field to be assessed through an unmanned aerial vehicle, including a red light image, a green light image, a blue light image and a near-infrared image; dividing a plurality of to-be-evaluated regular hexagon evaluation units according to the to-be-evaluated cotton field multispectral image; training a cotton field soil salinity evaluation model; and performing soil salinity evaluation on each to-be-evaluated regular hexagonal evaluation unit by adopting the trained cotton field soil salinity evaluation model. Compared with the prior art, the invention provides a method for calculating and evaluating the soil salinity by using an unmanned aerial vehicle image and a regular hexagon evaluation unit, and more image features related to the soil salinity strength can be captured, such as the area ratio of crops in the unit, the physiological and ecological indexes of the crops in the unit and the salt spot condition around the unit. More features are more beneficial to accurate evaluation of soil salinity, irrigation can be optimized, and the cotton yield can be increased.

The application provides a kind of intelligent temperature-regulated planting field soil temperature control system and method, related to soil temperature control technical field, obtains seedling planting field regional information, extracts all soil temperature monitoring sub-block according to seedling planting field regional information;Obtain the block environment data of soil temperature monitoring sub-block, determine soil temperature stress factor according to block environment data, obtain all soil temperature stress risk areas in seedling planting field based on soil temperature stress factor;Obtain the temperature control resource information in seedling planting field, determine resource area mapping matrix through temperature control resource information, determine temperature control response strategy through resource area mapping matrix and soil temperature stress factor;According to the soil temperature regulation of each soil temperature stress risk area according to temperature control response strategy.This application can realize the risk analysis and resource optimization control of soil temperature, to improve the temperature regulation precision and regulation efficiency of nursery stock cultivation environment.

The invention discloses an intelligent irrigation system and method for improving the utilization rate of cotton planting water resources, and the system comprises a data collection module which is used for obtaining the multi-source data of a cotton planting region in a preset time period, and carrying out the preprocessing of the multi-source data, so as to obtain a data set containing the three dimensions of soil, crops, and meteorology; the water demand prediction module is used for predicting the data set obtained by the data acquisition module by using a trained CNN-TCN-Attention model and generating a cotton field soil water demand; the irrigation module is used for formulating an intelligent irrigation strategy in combination with a cotton growth stage based on the data set obtained by the data acquisition module and the cotton field soil water demand predicted by the water demand prediction module, and irrigating a cotton planting area according to the intelligent irrigation strategy; the visual platform is used for monitoring the irrigation process in real time; efficient water saving and precise irrigation are achieved, and the utilization rate of cotton planting water resources is increased.

The invention belongs to the technical field of soil conditioners, and particularly relates to a rice field soil conditioner and application thereof. The invention relates to a rice field soil conditioner. The rice field soil conditioner is composed of a compound fertilizer and a complex microbial inoculant, the compound fertilizer is prepared by mixing the following components in parts by weight: 20-30 parts of rice husk biochar, 20-30 parts of shell powder and 10-15 parts of potassium fulvate, the complex microbial inoculant is prepared by mixing the following components: 3-4 parts of paenibacillus polymyxa; 2 to 3 parts of bacillus marinus; and 1.5 to 2 parts of bacillus firmus. The soil conditioner is composed of a compound fertilizer and a complex microbial inoculant, the complex microbial inoculant is formed by mixing three microbial inoculants of paenibacillus polymyxa, paenibacillus marinus and bacillus firmus, and the soil conditioner is beneficial for improving soil fertility and increasing the thousand seed weight of rice, so that the yield of the rice is increased. And the chalky grain rate of the rice can be reduced, the rice roughness, the head rice rate, the amylose content, the gel consistency and the like can be improved, the rice quality can be improved, and the economic benefit of the rice can be improved.

The invention provides a method for measuring and calculating carbon sequestration in the whole life cycle of cotton planting. The method comprises the following steps: S1, calculating the total upstream carbon emission amount of a cotton field; s2, calculating the direct emission amount of greenhouse gas in the soil of the cotton field; s3, calculating the indirect emission amount of the greenhouse gas of the cotton field soil; s4, the carbon sink amount of the cotton field soil is calculated; s5, the carbon sink amount of the cotton byproducts is calculated; s6, the carbon sink amount of the main cotton product is calculated; and S7, based on the calculation result of the above steps, obtaining the carbon sink amount or the carbon emission amount of the cotton planting full life cycle so as to evaluate the carbon sink level of the cotton planting full life cycle. According to the invention, the system boundary of carbon emission and carbon sequestration in cotton planting is systematically and completely elaborated, so that the comprehensiveness and accuracy of measurement and calculation are ensured. According to the method, carbon emission or carbon sink of a certain link is not only concerned, the full life cycle of cotton planting is comprehensively considered, emission factors of different cotton planting areas are introduced, the measurement and calculation result is accurate and reliable, and then the carbon sink level of the full life cycle of cotton planting can be accurately evaluated.

The invention belongs to the technical field of microbial resource development and straw biological decomposition. The invention discloses cold-resistant pseudoarthrobacter psychrotolans CKON-4, and the preservation number of the cold-resistant pseudoarthrobacter psychrotolans CKON-4 is CGMCC (China General Microbiological Culture Collection Center) No.29378. The cold-resistant pseudoarthrobacter psychrotolans CKON-4 has the advantages that the preservation number The strain CKON-4 is preserved in the China General Microbiological Culture Collection Center (CGMCC) on December 25, 2023, the China General Microbiological Culture Collection Center is called CGMCC for short, the address of the China General Microbiological Culture Collection Center is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing, and the preservation number of the strain is CGMCC No.29378. The strain disclosed by the invention has very high lignocellulose degradation activity, and the decomposition rate of straws can be remarkably improved; the strain is separated from rice field soil, can grow in the pH value range of 5-9 and the temperature range of 4-37 DEG C, can tolerate the salt concentration of 10%, and is a bacterium with wide pH application range, salt resistance and cold resistance. The strain can play an important role in lignocellulose degrading enzyme production, straw biological decomposition and compost fermentation.

The invention discloses a cotton field soil moisture inversion method and system combining microwave and optical data, and relates to the technical field of remote sensing measurement of soil moisture content, and the method comprises the steps: obtaining satellite data which comprises radar satellite data and optical satellite data; a water cloud model is adopted for radar satellite data to remove vegetation influences, and radar characteristic parameters are obtained; performing polarization decomposition on the optical satellite data to obtain polarization decomposition characteristic parameters, and obtaining a vegetation index of the optical satellite data; the characteristic parameters comprise radar characteristic parameters, polarization decomposition characteristic parameters and vegetation indexes; screening the feature parameters by adopting a feature selection algorithm, presetting an importance threshold, and selecting the feature parameters greater than the importance threshold as a sample set; according to the method, the soil moisture inversion is carried out through combination of the optical satellite data and the radar satellite data, and the soil moisture inversion precision is improved.

The invention belongs to the technical field of soil improvement, and particularly provides a photovoltaic power generation field soil improvement method suitable for a high and cold gobi area. According to the method, the base material is laid on the pretreated soil firstly, then corresponding plant combinations are selected for mixed sowing according to habitat types of different areas, and finally regular irrigation and maintenance are performed, so that the water and fertilizer retention performance of the soil of the photovoltaic power generation field in the alpine and dry gobi desert area of the Tibet Plateau can be effectively improved; through comprehensive application of biological blankets, organic matter addition, microbial agent regulation and land covering technologies, the water and fertilizer retention performance of soil is improved, soil improvement and ecological restoration are promoted, and collaborative development of a power generation system and the ecological environment is achieved.

The invention relates to the technical field of soil profile recognition, in particular to a soil profile recognition method and system based on multi-source information fusion and artificial intelligence. Synchronously acquiring image data, physicochemical property sequence data and mechanical resistance sequence data of a field soil profile through a data acquisition assembly; performing data preprocessing and spatial registration on the data; extracting visual features of the image and sequence features of the sensor data, and then performing feature level fusion to form a multi-source fusion feature vector; inputting into a pre-trained soil layer identification model to obtain soil profile layering result information; according to the scheme, the reference image data, the physicochemical property sequence data and the mechanical resistance sequence data are fused, unified decision making is carried out through the soil layer recognition model, the problems that a traditional method is high in subjectivity and low in efficiency are solved, objective, efficient and accurate layered recognition of the soil profile is achieved, and the accuracy of layered recognition of the soil profile is improved. And the digitization and standardization process of soil investigation is powerfully promoted.

The invention relates to the technical field of microbial carbon sequestration, in particular to a Dietzia alkali GD-1 strain and application thereof in carbon sequestration and phosphorus solubilization. The invention provides a strain of Dietzia natronanolimnaea GD-1, and the preservation number of the Dietzia natronanolimnaea GD-1 is CGMCC (China General Microbiological Culture Collection Center) No.31728. The invention further provides a preparation method of the Dietzia natronanolimnaea strain. The alkali lake Dietzschia sp. GD-1 provided by the invention is a carbon sequestration bacterium separated from fixed inter-plate soil in a salinization photovoltaic field area, has the capability of immobilizing carbon dioxide in the atmosphere, also has the capability of dissolving phosphorus, provides a strain resource for improving the carbon sequestration and emission reduction capability of the salinization soil, and has a wide application prospect. Technical support is provided for deeply knowing the microorganism regulation process of the saline-alkali soil nutrient substance occurrence form, a foundation is laid for providing a photovoltaic field soil microorganism improvement technology, and high-quality development of the saline-alkali fragile area photovoltaic industry is promoted.

The invention discloses Pseudomonas aeruginosa KS1-2 and application thereof, the strain is separated from a soil sample in a rice field and is preserved in the China General Microbiological Culture Collection Center (CGMCC), and the preservation number is CGMCC NO.33996. The invention further discloses a method for preparing the Pseudomonas aeruginosa KS1-2. The Pseudomonas aeruginosa KS1-2 has the advantages that the Pseudomonas aeruginosa KS1-2 can be used for preparing the Pseudomonas aeruginosa. The pseudomonas aeruginosa KS1-2 has a remarkable inhibition effect on a plurality of rice pathogenic bacteria; the growth of various plant pathogenic fungi can be effectively inhibited, and the broad-spectrum antibacterial property is achieved; the strain and the microbial inoculum can be prepared into a biocontrol agent for preventing and treating plant pathogens, can reduce plant diseases, are green and environment-friendly, have good application potential, and lay a foundation for research and development of multifunctional biocontrol microbial inoculum and biopesticide.

The invention belongs to the technical field of cibotium barometz breeding, and particularly relates to a method for artificially breeding cibotium barometz by using spores, which comprises the following components in parts by weight: 100 parts of field soil, 20-25 parts of sawdust, 10-15 parts of perlite, 10-12 parts of plant ash, 0.05-0.15 part of manganese sulfate and 0.3-0.5 part of sodium selenite; spores germinate, and the environment temperature is 24-26 DEG C; and transplanting the germinated seedlings into a greenhouse for cultivation. According to the method, high spore germination rate and seedling survival rate are ensured, and the transplanted seedlings can grow smoothly.

The invention discloses a DNA tracer migration prediction and site flow field description method, and belongs to the field of environmental rock and soil. According to the method, Laplace transform, Fourier transform and numerical inversion are used for obtaining the expression of the concentration of the DNA tracer in a fast region and a slow region. On the basis, necessary model parameters such as a tracer molecular diffusion coefficient, aquifer thickness, dispersity and tracer injection attenuation rate are determined according to hydrogeological conditions disclosed by a stratum and a tracer concentration monitoring result of an injection well in a field tracer experiment. And an analytical solution provided by genetic algorithm coupling is adopted, and the fitting degree of a tracer output curve of a monitoring well and a prediction result is taken as a control quantity, so that the average linear flow velocity and the porosity of the fast area and the slow area of the field soil are determined, and the fine description of the flow field in the field heterogeneous soil is realized. The method combines an analytical model, a genetic algorithm and a field tracer experiment, the obtained prediction result is accurate and objective, calculation is convenient and fast without depending on software, and the method is suitable for engineering application.

The present invention proposes an automatic seeder with uniform sowing, which relates to the technical field of agricultural machinery, including a sowing box, a seed cavity is provided in the sowing box, a rotating shaft is installed through the sowing box, and the rotating shaft passes through the seed cavity. The present invention proposes an automatic seeder with uniform sowing, which can stir the seeds at the connection between the feeding pipe and the seed cavity through the provided sowing box, rotating shaft, movable roller, stirring blade, swing block, partition plate, lifting sleeve, half box, transmission structure and opening and closing structure, reduce the situation that seeds are piled up and stuck, ensure the smoothness of seed feeding, accurately control the sowing amount by the cooperation of the swing block, partition plate and the feeding pipe, and at the same time, the partition plate will move the seeds in the feeding pipe to reduce the situation that seeds are stuck, and can also ensure that the appropriate depth is inserted into the field soil, ensure that the seeds can be sown to the appropriate depth, ensure the sowing amount and sowing quality, and reduce the smoothness of seed sowing.

The invention discloses a rice transplanter with a seedling depth self-adaptive adjusting function, belongs to the technical field of rice transplanters, and aims to solve the problems that the seedling insertion depths are different due to non-uniform hardness distribution of field soil and fluctuation of terrains, and the seedlings are inclined after being inserted due to unevenness of the field terrains. A push-pull rod is arranged in the supporting frame, two seedling boxes are oppositely arranged in the supporting frame, seedling outlets are formed in the seedling boxes in a penetrating mode, a first driving assembly is arranged in the supporting frame, a linkage assembly is arranged in the supporting frame and connected with the first driving assembly, and two dynamic adjusting assemblies are oppositely arranged in the linkage assembly. The seedling inserting depth can be conveniently and dynamically adjusted, it is guaranteed that each seedling inserting depth meets the transplanting requirement, the depth consistency is guaranteed, the transplanting quality is improved, and meanwhile it is conveniently avoided that due to inclination of the supporting frame, seedling inserting inclination is caused, and the transplanting quality is affected.

The invention provides a method for simulating and quantifying physical stress of field soil based on field in-situ monitoring and a model. The method comprises the following steps: step 1, acquiring soil bulk density, water content and penetration resistance values under different water potentials; step 2, fitting the transfer equation of each limiting condition by using each measured data in the step 1, and establishing soil transfer equations of four limiting conditions of LLWR; 3, field soil bulk density dynamic measured data are obtained; 4, constructing a field soil bulk density dynamic prediction model in the implementation stage and the expansion and shrinkage stage under the influence of cultivation and rainfall; step 5, acquiring actually measured data of field rainfall and soil water content of the research area; and step 6, obtaining the LLWR range of the research area and the dynamic change of each limiting condition. The method solves the technical problems that in the prior art, seasonal dynamic of soil bulk density, which is a key transmission variable influencing LLWR, is ignored, and it is difficult to accurately estimate dynamic changes of LLWR in seasons and quantify physical stress caused by the LLWR on crop growth.

The utility model provides a field soil crushing machine, which relates to the technical field of farming machinery and comprises a soil block collecting device, a primary screening device, a soil block transmission device and a soil crushing device. The soil block collecting device is connected with the soil crushing device through a soil block transmission device; the soil block collecting device goes deep into a soil layer to take soil, the soil block transmission device conveys the taken soil, and the primary screening device screens soil blocks on the soil block transmission device, so that the large soil blocks enter the soil crushing device to be crushed. Soil is taken through the soil block collecting device, soil blocks on the soil block transmission device are primarily screened through the primary screening device, small aggregates and soil particles meeting the farming standard are screened and fall back to the field without being crushed, and large soil blocks are left on the soil block transmission device and conveyed to the soil crushing device to be crushed. Therefore, large soil blocks can be accurately crushed, the physical structure of the soil is improved, and the granular structure of the soil is not damaged, so that hardened fields or fields with large soil blocks are easy to cultivate.