513 results about "Soil quality" patented technology

The invention discloses a farmland soil quality dynamic diagnosis method based on multi-source remote sensing collaborative inversion, and relates to the technical field of agricultural information, and the method comprises the steps: collecting physical and chemical parameters of soil temperature, humidity, pH value, organic matter content, nitrogen phosphorus and potassium concentration and the like in real time through a multi-source sensor network; removing abnormal values by using a data preprocessing algorithm, performing standardization processing, generating a standardized soil parameter set for subsequent climate and management factor correlation analysis, automatically generating a risk early warning signal, pushing the risk early warning signal to an agricultural management decision platform, and completing full-process analysis from data acquisition to decision support; the farmland soil quality dynamic diagnosis method based on multi-source remote sensing collaborative inversion can provide a scientific basis for agricultural management decision, effectively guide farmland management practice, and improve soil quality and agricultural production efficiency.

The invention relates to the technical field of data analysis, and provides a multi-index fused soil quality data analysis method and system, and the method comprises the steps: carrying out the preprocessing, time-space registration and feature extraction through a data obtaining module, forming a heterogeneous feature set, eliminating the time-space splitting problem of multi-source data from the source, and avoiding the analysis deviation caused by data inconsistency; the association fusion module takes a fuzzy Petri network association map and a particle swarm optimization algorithm as a core, constructs a nonlinear index fusion system, ensures that a comprehensive quality index can truly reflect the actual soil quality under the combined action of multiple indexes, and effectively solves the problem that an evaluation result is disjointed from the actual soil state; the portrait optimization module constructs a soil quality portrait to realize deep combination of soil quality analysis and farming guidance, compares farming suggestions with actual operation data, generates an optimization signal to trigger parameter adjustment of a fuzzy Petri network inference rule and a particle swarm optimization algorithm, and ensures the accuracy of analysis and guidance in long-term use.

The invention discloses a soil salinity inversion method, system and device based on multi-mode remote sensing data fusion and a storage medium, and is applied to the technical field of soil quality monitoring, and the method comprises the steps: obtaining radar and optical remote sensing data of a to-be-inverted region of soil salinity, and carrying out the conductivity measurement, and taking the obtained data as an inversion index of the soil salinity; obtaining multi-modal remote sensing features based on radar and optical remote sensing data fusion, optimizing a remote sensing feature combination by combining the radar and optical remote sensing data and based on a random forest algorithm and utilizing a recursive feature elimination method, and performing model performance evaluation on the remote sensing feature combination by adopting cross validation to obtain an optimal remote sensing feature combination; and based on the optimal remote sensing feature combination, constructing and training a soil conductivity prediction model based on a random forest algorithm, and inputting to-be-measured data to the conductivity prediction model after hyper-parameter adjustment to complete soil salinity inversion. According to the method, more accurate inversion of the soil salinity under the interaction influence of a complex environment and human factors is realized.

The invention provides a fine-grained cultivated land protection potential optimization method, medium and system, and belongs to the technical field of cultivated land data processing.The method comprises the steps that firstly, multi-source remote sensing, soil and climate data are obtained, and a basic feature matrix is extracted through multi-dimensional decomposition; then, multi-scale analysis of soil quality features is realized by utilizing a pyramid neural network model, and adaptive fusion is carried out through a feature integration module; and then constructing a contribution degree optimization equation set, comprehensively considering four aspects of benchmark evaluation, space correlation, time sequence evolution and weight balance, realizing accurate evaluation of the cultivated land protection potential, and generating an optimized protection partition scheme. On one hand, the pyramid neural network model overcomes the problem of insufficient feature extraction of a traditional method through multi-scale feature extraction and adaptive fusion; and on the other hand, through multi-dimensional information fusion and dynamic optimization, the contribution degree optimization equation set solves the problem that accurate evaluation of the cultivated land protection potential is difficult to realize in the prior art.

The invention discloses a soil water and salt dynamic monitoring and quality evaluation method based on multispectral remote sensing, and relates to the field of geological monitoring, and the method comprises the steps: carrying out the scattering deviation correction and roughness correction of an observation spectrum through a satellite remote sensing image, an unmanned aerial vehicle multispectral image, a ground sample and meteorological driving data; the soil intrinsic reflectivity, the vegetation coverage component and the salt crusting component are obtained; a water-salt inversion model is established by combining thermal infrared and red edge wave band information, and multi-temporal soil volumetric moisture content and surface salinity index are inverted; by introducing meteorological conditions and vegetation dynamic characteristics, a water-salt coupling partial differential equation and a graph space-time constraint model are constructed, and continuous space-time distribution of soil water content and salinity is obtained; extracting salinity, moisture, vegetation response and soil health indexes, establishing a soil quality comprehensive evaluation model, and outputting high-risk plaques and a treatment priority sequence. The method realizes dynamic monitoring and quality grading evaluation of soil water and salt, and is suitable for saline-alkali soil treatment and ecological restoration.

The embodiment of the invention provides an AI analysis method and system applied to land resource investigation, and the method comprises the steps: obtaining the multi-source remote sensing image data of a target region, analyzing the spectrum and texture features of the multi-source remote sensing image data, generating a comprehensive land feature map, obtaining an initial land classification map through a land classification model, and obtaining the initial land classification map. And performing time sequence comparative analysis in combination with historical data to determine a dynamic area of land coverage change and generate a land resource change report. The method further comprises the functions of soil quality evaluation, change area visualization, abnormal area real-time monitoring, land classification model training, classification model adjustment according to user feedback and the like, and the efficiency and accuracy of land resource investigation are improved.

The invention discloses a lead-zinc mine ecological restoration method driven by combination of pennisetum purpureum and soil microorganisms. After soil in a to-be-repaired area of a mine is loosened and conditioned, pennisetum purpureum is planted, different microorganisms A and microorganisms B are introduced before and after the pennisetum purpureum is planted respectively, the microorganisms A are composed of metal reducing bacteria and sulfate reducing bacteria, the microorganisms B are composed of heavy metal tolerant microorganisms and symbiotic nitrogen-fixing bacteria, and the heavy metal tolerant microorganisms and the symbiotic nitrogen-fixing bacteria can be obtained through the method that the different microorganisms are introduced in sequence. Heavy metals in the mine soil are transformed and absorbed for multiple times, and ecological restoration of the mine is realized. Through the combined action of microorganisms and plants, accumulation of organic matter in soil can be promoted, the diversity and activity of soil microbial communities can be restored, finally, restoration of a soil ecological system is achieved, in the restoration process, the root system of the pennisetum purpureum can assist in enhancing the structure and permeability of the soil through symbiosis with the microorganisms, and the soil quality is improved. And a foundation is laid for future ecological restoration.

The invention discloses a soil improvement and soil quality optimization comprehensive management method based on big data analysis, and the method comprises the following steps: S1, collecting and preprocessing multi-source soil data, and constructing a soil data input matrix; s2, initializing parameters of the fuzzy C-means clustering model, and constructing a model basic structure; s3, introducing a hosting crab optimization algorithm, and optimizing clustering model parameters; s4, executing clustering analysis, and generating a fuzzy soil type distribution map; s5, constructing an improved strategy scheme space, and fusing crop types, historical records and resource information; s6, making a multi-target scoring standard, and selecting an optimal improvement strategy; s7, deploying an optimal improvement strategy to a farmland operation system, and collecting soil feedback data in real time; and S8, updating model input and parameters based on feedback data, and re-executing optimization to realize a closed loop. According to the invention, big data and an intelligent optimization technology are fused, and accurate matching and efficient configuration of soil improvement strategies are realized.

According to the agriculture-like cultivated land and land humidity monitoring robot and the monitoring method, structurally, a soil turning device, a soil extraction device and a driving wheel device are connected with a driving motor, the driving motor, a camera device and the soil extraction device are in signal connection with a remote control terminal, and the soil turning device is arranged in a front-back telescopic and up-down movable mode relative to a machine body; the soil extraction device is movably arranged up and down relative to the machine body, the camera device is rotationally arranged relative to the machine body and used for monitoring the movement of the robot in real time, and by optimizing robot hardware configuration and sensor layout and integrating multiple sensors and a core control unit, comprehensive and accurate collection of farmland soil key parameters is achieved. And a wireless data transmission and cloud storage system is deployed to ensure real-time and accurate transmission and analysis of data. Artificial intelligence and computer vision technologies are integrated, soil images are processed, features are extracted and classified, and accurate evaluation and prediction of soil quality are achieved.

The invention belongs to the technical field of crop planting, and discloses a Yellow River Delta winter wheat salt-tolerant variety screening and cultivated land quality improving method, which comprises the following steps: step 1, indoor culture test, namely influence of different salinity concentrations on winter wheat budding, step 2, field positioning test, and step 3, field positioning test. The invention relates to screening of salt-resistant suitable-growth high-yield varieties of winter wheat in mild saline-alkali cultivated land, and influences of organic materials with different carbon sources on soil quality and crop yield. According to the invention, the physiological status and agronomic traits of the current Yellow River Delta slight saline-alkali soil winter wheat variety in different growth periods are explored, and a theoretical basis is provided for screening the salt-resistant, suitable-to-grow and high-yield winter wheat variety; the influence of different carbon source materials on the physicochemical properties of the saline-alkali soil is analyzed, the microbial enhancement action mechanism in the saline-alkali soil is explored, 4-5 salt-tolerant winter wheat varieties are screened for the theoretical basis for improving the quality and productivity of the saline-alkali soil of the Yellow River delta, the physicochemical properties of the saline-alkali soil are improved, and the soil microbial community structure and diversity are enhanced.

The invention provides a planting and breeding circulation system-oriented soil health assessment method, and relates to the technical field of soil health, and the method comprises the steps: collecting breeding data and planting data in a target planting and breeding circulation region, dividing a planting and breeding circulation mode, and analyzing the influence degree on soil to obtain circulation soil data. Waste supply energy is determined according to the breeding data, and the soil resource utilization efficiency is obtained by analyzing management measures of the planting data. The influence of waste supply energy on soil is analyzed to obtain waste influence data, and a soil health assessment system is constructed in combination with soil resource utilization efficiency, soil physical indexes and ecological function indexes. And calculating a soil health index based on the soil health assessment system and the circulating soil data, and classifying health grades of the soil. According to the method, the accuracy, scientificity and practicability of soil health assessment are improved, and powerful support is provided for optimal management of a planting and breeding circulation system, precise regulation and control of soil quality and agricultural sustainable development.

The invention provides an acid soil conditioner and a preparation method thereof, and belongs to the technical field of soil conditioners. The soil conditioner is prepared from the following raw materials in parts by weight: 30-40 parts of pH-sensitive hydrogel, 3-7 parts of slow-release nitrogen-fixing bacteria microcapsules, 5-8 parts of soil improvement bacteria, 10-20 parts of a chitosan / sodium alginate modified compound, 17-20 parts of fly ash and 18-22 parts of phosphogypsum. According to the prepared acid soil conditioner, the microorganism and chemical improvement effect is adopted, the pH value of soil can be obviously increased, the granular structure of the soil is improved, the buffering capacity of the soil is enhanced, the fertility of the soil is improved, the heavy metal content of the soil is reduced, the quality of the soil is improved, and the crop yield is increased, so that the acid soil conditioner has wide application prospects.

The invention relates to the technical field of data analysis, in particular to a GIS-based land surveying and mapping data analysis system. According to the method, by introducing the multi-layer soil profile data and combining the parameters such as the soil organic matter content, the porosity and the water permeability, layered evaluation is conducted on the soil quality of different depths, soil stability analysis is finer, and the judgment precision of the tillage suitability is improved. In the aspect of farmland infringement and occupation monitoring, vegetation coverage information is extracted by using remote sensing data, and a vegetation reduction area can be accurately identified in combination with an NDVI index and vegetation density change, so that natural degradation and artificial infringement and occupation can be distinguished, and the farmland protection capability is enhanced. In the terrain analysis process, the terrain farming feasibility index is calculated through gradient and elevation changes, and more scientific quantitative evaluation of farming feasibility is achieved. The hydrological analysis evaluates the soil erosion risk through the water flow impact force, dynamically monitors the stability of the land parcel, and improves the response speed of cultivated land protection and water and soil conservation.

The invention relates to a land second ploughing comprehensive evaluation and analysis method, a storage medium and a system, and relates to the technical field of data processing, and the method comprises the steps: obtaining the soil data of a to-be-evaluated land; constructing a soil quality dynamic evaluation index mathematical model according to the soil data, and calculating a soil quality dynamic evaluation index of the land; establishing a vegetation recovery condition evaluation mathematical model according to the soil data, and calculating a vegetation recovery index of the land; constructing a landform recovery degree quantitative mathematical model according to the soil data, and calculating a landform recovery index of the land; establishing a comprehensive evaluation index calculation model, and performing comprehensive evaluation by fusing the soil quality dynamic evaluation index, the vegetation recovery index and the landform recovery index of the land to obtain a comprehensive evaluation index of the land; and based on the comprehensive evaluation index, performing evaluation result grading on land second ploughing and implementing dynamic early warning. According to the invention, the accuracy of land second ploughing comprehensive evaluation can be improved.

The invention discloses a flame straw carbonization and rotary burying returning-to-field all-in-one machine which comprises a power mechanism and a rack, a straw carbonization mechanism for providing rapid incineration and carbonization flames is arranged on the front portion of a cavity of the rack, and a rotary burying returning-to-field mechanism capable of burying straw incineration and carbonization products into soil in a rotary mode is arranged on the rear portion of the cavity of the rack. A carbonization area cover plate of the straw carbonization mechanism and side protection plates on the two sides of the carbonization area cover plate are combined to form a relatively-closed straw carbonization area with an opening in the front side, and a rotary tillage cover plate of the rotary burying and returning mechanism and side protection plates on the two sides of the rotary tillage and returning mechanism are combined to form a relatively-closed rotary tillage and returning area. The smoke filtering mechanism can extract smoke entering the space between the straw carbonization area and the rotary tillage field returning area after straw incineration and carbonization and smoke generated when straw incineration and carbonization products on the rear side of the rotary tillage field returning area are mixed into soil, and the smoke and the smoke are discharged after being filtered. According to the all-in-one machine, straw can be rapidly carbonized and returned to the field after crops are harvested, the soil quality can be improved, the breeding risk of plant diseases and insect pests can be reduced, the sustainability of agricultural production can be effectively improved, and environment friendliness and high efficiency are achieved.

The invention discloses and relates to a strain capable of resisting saline and alkaline and producing IAA (Indoleacetic Acid). The strain is classified and named as bacillus atrophaeus, and the preservation number of the strain is CGMCC (China General Microbiological Culture Collection Center) NO.29799. The strain is preserved in China General Microbiological Culture Collection Center on January 29, 2024. The bacillus atrophaeus HHQGTS13-1 can grow under the condition that the salt content is higher than 3%, can generate indoleacetic acid, cellulase, amylase, protease and ligninase, can inhibit various plant pathogenic bacteria, such as banana anthracnose, tomato gray mold, cotton verticillium wilt, rice sheath blight disease, wheat head blight, banana fusarium wilt, capsicum white spot and the like, and can be used for preparing the bacillus atrophaeus HHQGTS13-1. Particularly, the compound plays an important role in preventing and treating wheat scab, banana anthracnose and capsicum white spot. The strain can promote plant growth in a saline-alkali environment, and can be used for improving soil quality, developing special microbial fertilizers, microbial agents and biopesticides for saline-alkali soil, relieving crop salt stress damage and increasing crop yield.

The invention belongs to the technical field of soil detection, and discloses a garden soil quality detection system and method based on environmental monitoring, and the method comprises the steps: a fixed-point data collection module carries out fixed-point monitoring; the route planning module plans an optimal flight route and a stop point of the unmanned aerial vehicle; the inspection module is used for performing all-around soil quality inspection on the garden; the image analysis module, the spectral data analysis module and the radar data analysis module identify conditions and abnormal conditions which need to be subjected to soil sampling analysis; the comprehensive evaluation module comprehensively evaluates the soil; the risk prediction module fuses multi-source data and predicts the potential risk of the garden in combination with historical data. According to the invention, through a mode of combining fixed-point detection and routing inspection detection, all-around soil quality detection is carried out on the garden; the sampling flexibility and reliability are guaranteed through the design of the sampling assembly, and the comprehensive evaluation module fuses multi-source data and comprehensively and objectively evaluates the soil quality; the risk prediction module predicts potential risks in combination with historical data.

The utility model relates to the technical field of soil in-situ detection, and discloses a portable soil quality multi-parameter in-situ detection device. The device mainly comprises a controller, a connecting wire, an optical probe and a sensor. The controller is provided with a touch screen, a single-chip microcomputer circuit board, a single-chip microcomputer, an SD card, a key switch, a wireless communication control panel and a power source, and power source management, detection system control, real-time data processing, man-machine interaction, data storage and remote transmission can be achieved. The sensor comprises a soil temperature probe, a soil humidity probe, a soil conductivity probe and a soil pH probe, and can realize real-time data acquisition of soil temperature and humidity, conductivity and pH value; an annular lamp holder, a light source, a photoelectric sensor, a plano-convex lens, a light shielding plate, a light shielding boss and a light shielding ring are arranged in the optical probe, and rapid collection of soil organic matter spectrum information can be achieved. The soil in-situ detection device realizes synchronous acquisition of multiple parameters of soil, is reasonable in structural design and convenient to operate, and is suitable for popularization and application in the field of soil in-situ detection.

The invention discloses a soil quality detection sampling device and a sampling method thereof, and relates to the technical field of soil sampling detection. According to the soil quality detection sampling device and the sampling method thereof, the height adjusting mechanism, the stripping mechanism, the pre-bearing pressing mechanism and the end part separation mechanism are arranged in the mounting frame, so that in the sampling process of the device, the height adjusting mechanism, the stripping mechanism, the pre-bearing pressing mechanism and the end part separation mechanism are coordinated and matched, and the sampling efficiency is improved; and when the compacted sample column is reset and ascends along with the device, the compacted sample column can be automatically pressed and supported, a plurality of arc-shaped material taking plates are automatically and orderly separated from the compacted sample column, on the basis of automatic material stripping, the completeness of the outer wall of the sample column is relatively guaranteed, and a fitting end column is synchronously separated from the top end of the sample, so that the sample column is automatically separated from the top end of the sample. The adhesive force of the top end of the sample column is reduced and subsequent manual material taking is facilitated.

The utility model provides an aeration type phyllostachys praecox fertilizing device, and belongs to the technical field of phyllostachys praecox planting. Comprising a feeding valve, a connecting frame and a hollow inserting rod, the feeding valve comprises a valve body and a plunger longitudinally connected into the valve body in a sliding mode, the connecting frame is connected with the outer wall of the valve body and the upper end of the inserting rod, a liquid inlet valve cavity and a material mixing valve cavity located below the liquid inlet valve cavity are formed between the valve body and the plunger, and the liquid inlet valve cavity is connected with the water outlet end of a water pump. The water inlet end of the water pump is connected with the liquid fertilizer storage box, the valve body is provided with a one-way air inlet valve connected with the mixing valve cavity and the atmosphere, and the mixing valve cavity is further connected with the upper end of the insertion rod; the plunger is provided with a first liquid inlet channel which can be communicated with the liquid inlet valve cavity and the material mixing valve cavity, an inlet of the first liquid inlet channel is located in the wall face of the plunger, and a first pre-tightening spring is connected between the top of the plunger and the valve body.

The invention discloses a black land quality comprehensive evaluation system, which relates to the technical field of agricultural information and comprises a data acquisition module, a data processing module, an evaluation system construction module, a weight setting module and a comprehensive evaluation module. The data acquisition module is used for collecting multi-aspect data of black land, wherein the multi-aspect data comprises soil physical property data, soil chemical property data and land utilization and management data. The invention further discloses a black land quality comprehensive evaluation method. According to the comprehensive evaluation system and method for the black land quality, comprehensive evaluation of the black land quality is achieved by comprehensively collecting information in multiple aspects of soil physical properties, chemical properties, land utilization and management data and meteorological data, and the comprehensive evaluation mode is more accurate and comprehensive compared with traditional single index evaluation; and the actual condition of the black land can be reflected more truly, so that the evaluation is more in line with the actual agricultural production condition.

The invention relates to the technical field of civil engineering, and discloses a roadbed filling quality parameter optimization analysis system, which comprises a full-period data acquisition module used for acquiring vibration time sequence signals and equipment operation spatio-temporal data of a road roller in the operation process in real time; the working condition self-identification and model self-calibration module is used for controlling the road roller to send out a diagnostic excitation signal before the compaction operation or under a specific working condition; the soil body state real-time estimation module is based on the self-adaptive configured physical inversion model in the conventional compaction operation; the forward prediction module is based on a state transition function of the self-adaptive configuration; the multi-target constraint control decision module is based on the prediction result. According to the technical scheme, a diagnostic excitation signal is adopted to actively detect a filling material, the working condition characteristics of the filling material are automatically recognized, and then a physical model is adaptively configured, so that the technical effect of tailoring type modeling for specific soil quality is achieved, and the defects that the model is poor in universality and the calculation precision is low when the soil quality changes are overcome.

The invention discloses an intelligent monitoring and evaluation method and system for newly-cultivated land, and relates to the field of intelligent agriculture. The method comprises the steps of planning an unmanned aerial vehicle route and a ground sampling grid based on newly-cultivated land boundaries and topographic data; multispectral and thermal infrared images are obtained through remote sensing of the unmanned aerial vehicle, and spectral data and soil samples are synchronously collected on the ground; performing laboratory analysis on the soil samples to obtain soil physical and chemical indexes, and associating the soil physical and chemical indexes with remote sensing spectral characteristics to construct a training sample set; based on the training sample set, remote sensing features are fused, and a soil physicochemical index spatial distribution diagram is obtained through machine learning model inversion; carrying out quality grade classification and obstacle type diagnosis by combining the soil physical and chemical indexes, the crop growth time sequence and the planting historical information; and based on classification and diagnosis results, combining an agricultural knowledge rule base to form agricultural management suggestions and generate a variable operation prescription map to guide accurate operation. Through air-ground cooperative monitoring and soil quality evaluation, the farmland quality monitoring precision is improved.

The invention relates to a detachable rotary cultivator, and belongs to the technical field of rotary cultivators, the detachable rotary cultivator comprises a rotary tillage mechanism detachably connected to the exterior of a tractor, the rotary tillage mechanism is composed of a rack, side plates, a rotary tillage shaft and rotary tillage cutters, and a soil loosening device used for pre-loosening soil before rotary tillage is arranged outside the side plates and the rack; a compaction structure used for conducting compaction treatment on the ploughed soil is arranged outside the machine frame, and a driving mechanism used for operating the rotary tillage shaft, the soil loosening device and the compaction structure in a linkage mode is arranged outside the side plates. The soil loosening device comprises a hinge seat fixedly connected to the top of the rack and a swing arm hinged to the interior of the hinge seat. The machine has the advantages of high efficiency, energy conservation, environmental protection and the like, integrated operation of soil pre-loosening, rotary tillage, compaction and spraying treatment is realized through a mechanical linkage principle, the rotary tillage resistance is remarkably reduced, the service life of a blade is prolonged, the soil quality is optimized, and the operation efficiency is improved.

The invention discloses a seed coating containing an arbuscular mycorrhizal inoculant. The seed coating is prepared from the following components in parts by weight: 25 to 35 parts of the arbuscular mycorrhizal inoculant, 35 to 45 parts of a soil conditioner, 15 to 20 parts of talcum powder and 15 to 20 parts of polyvinyl acetate. The invention further provides a preparation method of the seed coating containing the arbuscular mycorrhizal inoculant and application of the seed coating to reduction of soil heavy metal pollution, increase of disease resistance and stress resistance of crops and promotion of crop growth. The seed coating containing the arbuscular mycorrhizal inoculant wraps the surfaces of plant seeds, provides good nutritional ingredients for growth and development of the seeds, and is beneficial to improving the germination rate of the seeds under heavy metal cadmium stress, reducing soil heavy metal cadmium pollution, improving soil quality, increasing soil fertility and improving disease resistance and stress resistance of crops; growth of seedlings is promoted, and crop quality and yield are improved.

The invention discloses a greenhouse tomato water-saving and quality-improving planting method with cooperation of shallow-buried drip irrigation and biochar, and the method comprises the following steps: detecting greenhouse tomato planting soil, and conditioning the soil texture according to a detection result; laying a drip irrigation system on the conditioned soil, and laying a soil monitoring network; based on the established dropper system and the soil detection network, tomato seedlings are planted, and initial moisture management is carried out on the tomato seedlings after planting; after the tomatoes survive after field planting, performing staged irrigation and water and fertilizer integrated management according to the requirements of the tomatoes in different growth stages; performing charcoal rhizosphere activation and function regulation on the tomatoes in the growth period; real-time data of a greenhouse environment and a soil monitoring network are integrated, an intelligent irrigation decision model is established and operated, and a dynamic optimization irrigation scheme is implemented; and carrying out oxidation and ecological improvement on the soil after tomato harvesting. The tomato planting quality can be improved, and the soil health condition can be improved.

The invention discloses a straw returning method based on corn and covered crop cultivation, which comprises the following steps: grading and crushing corn straws according to soil types, carrying out zoning treatment, combining a leguminous-gramineae-cruciferae ternary mixed sowing covered crop system, and matching a decomposition microbial inoculum and controlled release nitrogen fertilizer synergistic regulation technology. The efficient decomposition of the straws and the improvement of the soil quality are realized. The method can increase soil organic matters by 0.25%, increase corn yield by 12.7% and reduce nitrogen fertilizer loss by more than 30%, and is suitable for sustainable production in dry farming areas.

The invention relates to the technical field of soil quality analysis, and particularly discloses an automatic soil measurement method based on a ground penetrating radar, which comprises the following steps: acquiring multi-frequency data of a soil profile in real time along a measuring line by integrating the ground penetrating radar of a multi-frequency antenna, preprocessing the multi-frequency data, aligning the multi-frequency data in time and space to obtain first multi-frequency data, and calculating the first multi-frequency data according to the first multi-frequency data; performing fusion processing on the first multi-frequency data according to the corresponding spatial position to obtain second multi-frequency data, automatically judging whether dielectric abnormity caused by straw chippings exists on the surface layer or not based on the second multi-frequency data, correcting the dielectric constant, and after the corrected dielectric constant is obtained, determining whether the dielectric abnormity exists on each position along the measuring line or not; and associating the calculated soil thickness with the spatial position to generate soil thickness profile distribution, thereby realizing real-time soil quality monitoring.

The invention relates to the technical field of edible mushroom cultivation covering soil quality detection equipment, in particular to an edible mushroom cultivation covering soil quality detection device based on visual identification. According to the technical scheme, the edible mushroom cultivation covering soil quality detection device based on visual recognition comprises a detection device body, movable universal wheels, a terminal controller, a heat dissipation module, a pushing handle, a storage bin and a cleaning module, the movable universal wheels are arranged at the four corners of the bottom face of the detection device body, and the terminal controller is arranged on one side of the detection device body; a heat dissipation module is arranged on one side of the terminal controller; according to the invention, the degree-of-freedom mechanical arm and the binocular structured light scanning unit are introduced, and through spiral track scanning and phase deflection technologies, full-area high-precision three-dimensional shape acquisition is realized, and meanwhile, the multispectral imaging module synchronously obtains spectral characteristics of covering soil color, humidity and impurities through a pulse type composite light source and automatic white balance calibration, so that the detection precision of the covering soil is improved. And the detection efficiency and the impurity identification accuracy are effectively improved.

The invention discloses a detector for garden soil quality detection, and belongs to the technical field of garden soil detection.The detector comprises a detection bottle, the surface of the detection bottle is movably connected with a bottle cap, a PH meter is arranged in the bottle cap, the surface of the bottle cap is fixedly connected with a liquid adding pipe, and the surface of the liquid adding pipe is movably provided with a pipe cap; a working rod is connected to the interior of the bottle cap through a reciprocating assembly, mixing blades are fixedly connected to the surface of the working rod, and a lower connecting rod is fixedly connected to the inner wall of the bottle cap. When the detector for garden soil quality detection works, a soil sample and a reagent are poured into a detection bottle, then a bottle cap is screwed, a pressing plate on the surface of the bottle cap is pressed, then a pressing rod pushes a stress plate, and at the moment, the stress plate, a working rod and a mixing blade rotate in the detection bottle in a reciprocating manner under the action of the pressing rod and a torsion spring; compared with one-way rotation of the mixing blades, the reciprocating rotation mixing blades can better mix the materials, so that the detection result of the PH meter is more accurate.