103 results about "Soil management" patented technology

The invention discloses a soil nutrient recycling method and system based on prediction driving, and belongs to the technical field of agricultural soil management.The method specifically comprises the steps that soil nutrient content data are obtained through sampling, and soil nutrient abnormal areas are preliminarily screened in combination with a geographic information system and a remote sensing technology; soil physicochemical properties are measured in the soil nutrient abnormal area, soil nutrient form distribution is measured through X-ray diffraction and near infrared spectroscopic analysis, and nutrient stability and release potential are evaluated; constructing a soil nutrient cyclic dynamic model based on multi-source data, and simulating nutrient evolution; according to simulation results, crop requirements, soil states and environmental factors, an accurate fertilization scheme is formulated; intelligent management and precise fertilization of soil nutrients are realized, and the fertilizer utilization rate and the agricultural production efficiency are improved.

The invention discloses a soil health and microbiological analysis intelligent environment monitoring device, and relates to the technical field of soil monitoring, the device comprises the following components: an outer shell, a sensor assembly, a microflora interaction monitoring sensor group, a data acquisition and transmission module, a power supply module, a microprocessor, a control unit and a data analysis module; signal molecule concentration change data and predatory relationship visual data are combined through the data analysis module, deep analysis is carried out by using bioinformatics and mathematical modeling means, and a multi-dimensional regulation network hidden in a microbial community can be comprehensively revealed; according to the soil health assessment device, the interaction relationship between the soil ecological system and the soil ecological system is analyzed accurately, the influence of the interaction relationship on key ecological functions such as material circulation and energy flow in the soil ecological system is analyzed accurately, the device can generate a detailed soil health assessment report based on the analysis results, agricultural scientific researchers, planting farmers and environmental protection monitoring departments can assess the soil health condition accurately, and the soil health assessment efficiency is improved. And targeted soil management measures are taken.

The invention provides a remote sensing multispectral imaging system for agricultural monitoring, which relates to the technical field of space remote sensing, and realizes accurate selection by indicating an economic crop determination module, analyzing historical soil salinity and water shortage data and selecting sensitive crops; the correlation evaluation module calculates a water shortage index change rate, analyzes correlation between historical data and current data, and improves prediction accuracy; the value range determination module divides soil salinity intervals and standardizes management data in combination with evaluation coefficients; the indication area determination module realizes accurate monitoring by using a multispectral image and enhances representativeness; the humidity evaluation module analyzes local spectral data to quantify the soil humidity; the prediction model construction module predicts the salinity content by using machine learning, and can accurately predict dynamic changes of soil salinity and moisture; the correlation analysis module verifies real-time monitoring data in combination with the prediction model; and the division module optimizes a soil management strategy according to the water shortage index and the humidity coefficient.

The invention provides a method and a system for evaluating the biological health condition of cultivated land soil based on exploratory factor analysis, and relates to the technical field of evaluation of the biological health condition of soil. The precise analysis of the complex interaction relationship between the soil microorganism function and the environmental factor is realized; through multi-dimensional index fusion and deep mining of a factor model, key biological function factors are effectively discriminated and quantified, and the scientific evaluation capability of soil ecological functions is improved; in combination with causal path analysis, the scheme can reveal the influence of environmental pressure on a microbial regulation and control mechanism, and intelligent attribution and traceability of abnormal health conditions are realized; based on dynamic fusion and grading judgment of function and environment scores, the scheme supports accurate health condition evaluation and hierarchical intervention, the early warning capability and decision scientificity of soil management are enhanced, and the agricultural sustainable development guarantee level is remarkably improved.

The invention relates to the field of water and soil treatment, and discloses an ecological treatment system and monitoring method for preventing water and soil loss, and the method comprises the steps: dividing a treatment region according to the ecological factors of the treatment region, and obtaining different ecological monitoring sub-regions; obtaining ecological management data density corresponding to the ecological monitoring sub-regions in a cloud environment data server, and obtaining an ecological management data acquisition point distribution scheme of each ecological monitoring sub-region; and the ecological management data management module arranges ecological management data acquisition points in each ecological monitoring sub-region according to the ecological management data acquisition point distribution scheme to complete ecological management state monitoring for preventing water and soil loss. According to the invention, the method can achieve the scientific division of the treatment region through the comprehensive consideration of the slope, vegetation coverage, soil type, rainfall and other ecological factors, forms the ecological monitoring sub-regions with similar ecological characteristics, and improves the monitoring efficiency and accuracy.

An autonomous ground vehicle for agricultural plant and soil management operations. According to some embodiments, autonomous ground vehicle includes: a camera unit configured to generate images of agricultural ground soil and plant organisms, a first mechanical arm having an end effector comprising a hoe portion and an electrode portion, a second mechanical arm having an end effector comprising an electrode portion, a high voltage booster electrically connected to the electrode portions, an electronic memory storage medium comprising computer-executable instructions; one or more processors in electronic communication with the electronic memory storage medium, configured to execute the computer-executable instructions stored in an electronic memory storage medium for implementing a plant species control management operation comprising electrical control and mechanical control options.

The invention discloses a hyperspectral oblique photography method based on an unmanned aerial vehicle and a ground agricultural machine, and the method employs the unmanned aerial vehicle to obtain the air data of a farmland, employs the agricultural machine to continuously obtain the ground data in real time, obtains the data in the operation process of the agricultural machine, and does not need to invest extra time and manpower. The advantages of an air platform and a ground platform are fused in an air-ground cooperation mode, high-precision, high-spectral-resolution and multi-angle comprehensive acquisition of remote sensing data of a farm is achieved, the spatial and spectral resolution of the data is improved, the requirement of precision agriculture for the data is met, air oblique photography is used, and the precision agriculture is improved. And multi-view information of the farmland is obtained to establish a high-precision farmland three-dimensional model. The method can solve the problems of insufficient data acquisition precision and timeliness in the prior art, remarkably improves the remote sensing data acquisition precision in agricultural production, and is widely applied to the fields of crop health monitoring, pest control, soil management and the like.

The invention provides a soil resource sustainable utilization evaluation and prediction system, relates to the technical field of sustainable utilization evaluation and prediction of soil resources, and aims to accurately capture dynamic characteristics of soil carbon circulation by monitoring soil respiration rate, carbon content and other environmental data in real time and combining a multilevel carbon distribution-respiration rate mapping model. The system integrates MLP and LSTM technologies, and dynamically updates a multilevel carbon distribution-respiration rate mapping weight to reflect a nonlinear mapping relationship between soil carbon storage and respiration rate. By constructing a soil resource optimization map and a multi-factor comprehensive evaluation index, the system can visually display potential influences of different soil management measures, and provides scientific decision support for soil resource management.

An autonomous ground vehicle for agricultural plant and soil management operations. According to some embodiments, autonomous ground vehicle includes: a camera unit configured to generate images of agricultural ground soil and plant organisms, a first mechanical arm having an end effector comprising a hoe portion and an electrode portion, a second mechanical arm having an end effector comprising an electrode portion, a high voltage booster electrically connected to the electrode portions, an electronic memory storage medium comprising computer-executable instructions; one or more processors in electronic communication with the electronic memory storage medium, configured to execute the computer-executable instructions stored in an electronic memory storage medium for implementing a plant species control management operation comprising electrical control and mechanical control options.

The invention provides a soil ammonium nitrogen content hyperspectral prediction method based on an improved extreme learning machine, and relates to the technical field of hyperspectral prediction. The method comprises the following steps: firstly, collecting and treating a soil sample for soil spectral measurement and NH4 < + >-N content determination; measuring soil spectral reflectivity data; preprocessing the soil spectral reflectivity data to form a spectral reflectivity data set; then carrying out characteristic wave band selection by adopting a sequential forward selection algorithm; an improved butterfly optimization algorithm IBOA is adopted to optimize model parameters of an extreme learning machine ELM, and then a hyperspectral prediction model used for predicting the NH4 < + >-N content of the soil is constructed; and finally, the ELM model after parameter optimization is selected to construct a hyperspectral prediction model to predict the NH4 < + >-N content. The method not only provides theoretical and technical support for soil ammonium nitrogen content monitoring, but also provides important reference and guidance for soil nitrogen cycle research and soil management.

The invention relates to the field of soil management, and discloses an automatic management method for a soil moisture content monitoring sensor in combination with an internet of things technology, which comprises the following steps of: monitoring and analyzing soil moisture content data in real time through the soil moisture content monitoring sensor so as to determine irrigation optimization schemes on different target soil sub-regions; and after the irrigation optimization scheme is output, the irrigation optimization effect is analyzed, and finally, the target soil sub-region with the problem is adjusted based on the analysis result. And meanwhile, abnormal real-time analysis and correction are carried out when the soil moisture content monitoring sensor monitors soil moisture content data. According to the invention, soil moisture content data of soil can be monitored in real time through the soil moisture content monitoring sensor, so that the agricultural production is refined and intelligent, and the purposes of improving the agricultural production efficiency and guaranteeing the agricultural sustainable development and the agricultural product quality are achieved.

The invention discloses a high-yield cultivation method for a dual-purpose qiongzhuea bamboo shoot forest, and belongs to the technical field of bamboo cultivation. The method includes the steps of soil preparation, fertilization, reasonable bamboo shoot digging, bamboo shoot remaining and cultivation, felling, bamboo forest structure adjustment and branch remaining and tip hooking. The invention provides scientific qiongzhuea tumidinoda bamboo shoot material dual-purpose forest management technologies such as standing bamboo structure regulation and control, formula fertilization and soil management, the yield can be obviously increased, the economic income can be increased, and the stable high yield of the qiongzhuea tumidinoda forest can be kept; reasonable fertilization plays an important role in improving the yield of qiongzhuea bamboo shoots, growth of bamboo stalks and underground bamboo rhizomes is promoted, the bamboo shoots are large in size, the bamboo stalks are large and high, the quality and yield are high, and economic benefits are good; the bamboo shoot digging amount is controlled, the scientific bamboo shoot strengthening amount is reserved, the bamboo age distribution of the bamboo forest is controlled, and follow-up bamboo forest development is facilitated while the yield is guaranteed; the hook tip reduces branches and leaves at the top end, reduces snow breaking / bending of bamboo stalks, reduces snow damage, can save nutrition, and is beneficial to growth of pregnant bamboo shoots from bamboo rhizomes.

The invention relates to the technical field of agricultural data visualization, in particular to a salinized cotton field visual multi-point salinity collection and analysis method and system.The method comprises the following steps that soil conductivity distribution data of a salinized cotton field area is obtained, a high-salinity accumulation area and a low-salinity dilution area are recognized, particle gap distribution characteristics are collected, and a salinized cotton field is obtained; and screening areas with loose or compact particle structures, executing temperature gradient analysis, screening surface thermal environment abnormal subareas, detecting wind speed distribution, removing wind field disturbance areas, and obtaining a recommended planting area list. According to the method, high and low salt areas are accurately identified through salt space distribution analysis, distribution precision is improved, humidity dynamic expression is refined, structural abnormal blocks are screened by using a particle gap change trend, soil management is optimized, surface temperature and wind speed data analysis is superposed, thermal disturbance and wind field abnormity are eliminated, and agricultural management precision is improved through multi-dimensional data fusion. The capability of coping with a complex environment is enhanced, efficient decision making is effectively supported, and the overall agricultural production benefit is improved.

The invention discloses an annual double-cropping disaster prevention and high yield method for wheat and corn. The method comprises the following steps: S1, wheat sowing regular period and sowing land preparation; s2, wheat seed treatment, wherein high-quality seeds are selected and mixed with tebuconazole and imidacloprid; s3, wheat sowing operation, wherein drill sowing is adopted; s4, preparation before corn sowing, wherein corn seeds are soaked with a solution containing nitrogen-fixing bacteria and amino acid before sowing; s5, no-tillage treatment is conducted after wheat harvesting, a specific microorganism straw degradation agent is sprayed, and straw is smashed and scattered during harvesting; s6, corn seed treatment and sowing regular period; s7, corn sowing, wherein a seed and fertilizer simultaneous sowing machine is adopted for sowing; s8, corn field management; s9, meteorological disaster prevention; s10, disease and pest control; and S11, soil management. The method is remarkably superior to conventional and other planting methods, the yield and stability are effectively improved, the disaster resistance is enhanced, the water resource utilization rate is increased, a scientific and efficient scheme is provided for annual double cropping planting of wheat and corn, and agricultural sustainable development is assisted.

The invention belongs to the technical field of biology, and relates to a heavy metal tolerant sphingomonas strain 1PPS-Zn1 and application thereof, the heavy metal tolerant sphingomonas strain 1PPS-Zn1 is preserved in China Center for Type Culture Collection on March 20, 2025, the preservation number is CCTCC NO: M 2025544, the sphingomonas strain 1PPS-Zn1 can adsorb and tolerate high-concentration zinc, the highest tolerable concentration reaches 80 mmol / L, and the sphingomonas strain 1PPS-Zn1 also has the capabilities of producing IAA, fixing nitrogen and promoting plant growth, and can be applied to the field of heavy metal tolerant plants. And the absorption, enrichment and transfer capabilities of the black nightshade to heavy metal zinc in the soil can be improved, finally, the remediation efficiency of the zinc-polluted soil is improved, a new way is provided for soil remediation and ecological environment remediation, and the method has wide development and application prospects.

The invention relates to an improvement method for continuous cropping soil of a rubber garden, and belongs to the technical field of rubber garden soil management. The method comprises the following steps: in a dry season, digging a strip-shaped ditch parallel to a rubber planting belt in the middle of a rubber circular protection belt with the gradient of less than 30 degrees; the depth of the strip-shaped ditches is 50-70 cm, and the width of the strip-shaped ditches is 70-100 cm; applying farmyard manure subjected to stack retting fermentation into the strip-shaped ditches, and applying farmyard manure with the pH value larger than 7 if the soil is slightly acidic; if the soil is slightly alkaline, farmyard manure with the pH value smaller than 7 is applied; the application amount is 19-21 kg / plant; and after fertilization, covering a layer of soil. The method can increase organic matters and nutrient elements of the rubber garden soil, reduce the pH value of the soil, cultivate beneficial microbial flora of the soil, increase contact between soil fertilizer and absorption root systems of rubber trees, improve water retention and fertilizer retention functions of the rubber garden and the like, so that the purposes of improving the quality of the rubber garden soil, keeping healthy growth of the rubber trees and guaranteeing sustainable rubber tapping are achieved.

The invention relates to the technical field of data processing, and discloses a data processing method and system for soil detection, and the system comprises an acquisition module which comprises a sensor network and a node control unit which are arranged in a detection area; a preprocessing module configured to determine whether there is a missing value; the data complementation module is configured to obtain the position of the missing value when the missing value is judged to exist, and determine an initial missing value according to the weighted average of the soil information on the two adjacent sides of the position of the missing value; the data correction module is configured to correct the initial missing value; and the storage module is configured to store the humidity value, the temperature value, the rainfall data, the plant coverage data, the terrain data and the corrected final missing value and establish a corresponding database. By improving a data processing flow and a correction mechanism, the accuracy and reliability of soil detection data are improved, and powerful technical support is provided for agricultural production and soil management.

The invention discloses a tobacco leaf quality improving method and system based on planting soil management. The method comprises the following steps: firstly, acquiring historical soil quality and root growth data of a tobacco plant, and analyzing root growth preferences under different soil conditions by using a clustering algorithm to form soil quality-preference data; combining the soil quality data of the target planting area to construct a root growth probability distribution map, and predicting root distribution according to the planting target; determining the arrangement position of a soil monitoring sensor according to a prediction result, and establishing a monitoring network to realize real-time acquisition of soil substance change; and finally, adjusting and managing nutrient substances in the tobacco planting process according to the monitoring data. According to the method, the adaptability of root systems and soil is improved, nutrient supply is optimized, balanced growth and stable quality of the tobacco leaves are promoted, and therefore tobacco leaf quality improvement and planting benefit optimization are achieved.

The invention relates to the technical field of environment monitoring and big data analysis, and discloses a soil environment quality evaluation method based on big data. The method comprises the following steps: fusing measured data of soil heavy metals with multi-source heterogeneous data such as remote sensing, terrain, land utilization, hydrogeology and the like; a space-attribute joint constraint depth generation network is constructed, an encoder of the space-attribute joint constraint depth generation network extracts multi-scale features, an attribute physical constraint module is embedded into a convection-dispersion equation to model a heavy metal migration mechanism, and a decoder outputs a high-fidelity concentration field; and dividing four pollution risk grades according to national standards, and generating an evaluation diagram. Through data driving and physical mechanism collaborative modeling, the pollution boundary depicting precision is improved, the prediction error under the low sampling density is reduced compared with a traditional method, the recall rate of a high-risk area is increased, and reliable support is provided for precise soil treatment.

The invention discloses a soil aeration intelligent control system, which relates to the field of soil management and comprises a data acquisition module, a pressure acquisition module, a power adjustment module, a timer module and an anomaly analysis module. The data acquisition module is used for acquiring soil data, plant data and historical operation data; the pressure acquisition module is used for processing soil data to obtain a pressure index, and combining the distance between each aerator pipe and the air compressor to obtain the output pressure of the air compressor; the power adjusting module is used for obtaining a proofreading coefficient according to the historical operation data so as to adjust the output power; the timer module is used for determining aeration time and interval according to the pressure index and the plant data; the abnormity analysis module is used for analyzing the aeration difference value and processing abnormity; the aeration effect of the aeration equipment can be improved, and the aeration strategy is optimized.

The invention relates to the crossing field of soil system remediation, digital smart agriculture, land comprehensive treatment and block chain technology, in particular to a soil treatment block chain authentication excitation system and method based on multi-source credible verification and mineral activation and heavy metal passivation technology. The system comprises a perception execution layer (deployed in a governance area and collecting multi-dimensional governance data), a credible verification layer (military-civilian fusion multi-source cross verification and credible uplink evidence storage), a block chain core layer (alliance chain architecture, including ecological value quantification smart contract), and an application excitation layer (automatic excitation distribution). According to the method, data are ensured to be real and cannot be tampered through multi-source cross verification, soil improvement indexes are converted into incentive integrals by using intelligent contracts, and immediate quantitative incentive of treatment contributions is realized. The problems of low data credibility, excitation delay and insufficient participation in traditional governance are solved, and a credible closed-loop system of'governance-income 'is constructed. Wherein the incentive points are only used for exchanging real object rewards or services (such as agricultural materials and technical support) in the system, do not have a currency function, and do not carry out public transactions or exchange legal currency.

The present invention discloses a soil erosion prevention, moisture conservation and fertilization full life cycle benefit evaluation optimization system, which relates to the field of soil optimization management and control technology. The system includes: a full life cycle data stream acquisition module, which is used to obtain multi-party soil erosion prevention, moisture conservation and fertilization full life cycle data streams; a multi-dimensional distributed training fusion module, which is used to build a global soil full life cycle benefit evaluation model set; a model verification optimization module, which is used to collect the local soil erosion prevention, moisture conservation and fertilization full life cycle data streams in the target area, and optimize the local soil full life cycle benefit evaluation model; a soil benefit optimization management and control module, which is used to perform soil benefit optimization management and control. The present invention solves the technical problems of insufficient multi-dimensional data integration and analysis, weak model generalization ability, and low benefit evaluation accuracy in traditional soil management in the prior art, and achieves the technical effect of improving the benefit evaluation accuracy through the fusion analysis of multi-source data and the local optimization of the model.

To develop a cultivation technique that enables provision of mulberry leaves sufficiently reducing the content of calcium oxalate monohydrate crystals which are associated with food poisoning concerns, from the perspective of provision of safe and reliable food; and to enable complete yellowing of mulberry leaves and enhance the content of a flavonoid pigment.SOLUTION: Since mulberry is a C3 plant and its photosynthetic activity is particularly susceptible to photoinhibition, light receiving posture, such as a leaf angle, has a significant impact on the photosynthetic capacity of the plant community. Therefore, establishment of a cultivation environment (e.g., pruning, planting density) that account for leaf blade inclination angle, regulation of a photosynthetic amount through appropriate shading control, and use reduction of lime to an upper limit for soil management, are actively examined.SELECTED DRAWING: Figure 1, Figure 6

This invention relates to the field of soil attribute prediction technology, and discloses a method and system for predicting soil attributes based on multi-source environmental and remote sensing data. The method includes: acquiring soil environmental and remote sensing image data of a target area, unifying and standardizing the spatiotemporal resolution to generate a standardized dataset; obtaining a feature matrix after fusion and dimensionality reduction, and using random forest and gradient boosting tree to conduct feature analysis and fitness assessment to determine an initial prediction model combination; adjusting weight parameters and feature mapping to form an adaptive prediction model; performing attribute prediction and combining anomaly detection and error correction to generate a prediction dataset; obtaining optimized distribution data through distribution calibration, spatial smoothing, and residual optimization; constructing and validating an attribute distribution map; and finally generating basic data for soil management strategies through confidence interval evaluation and data fusion. This method can solve the problem of insufficient prediction accuracy under complex working conditions.

The invention relates to the technical field of soil management, and discloses a multi-source data-based agricultural decision support system, which comprises a dialogue module, a land parcel module and a my module, and is characterized in that the dialogue module comprises trial questions, historical dialogues and voice questions and answers; the land parcel module comprises land parcel management, periphery matching, report generation and data analysis; the my module comprises members, fruit values, reward fruit values, account setting, privacy policies, message notification and system setting. According to the agricultural decision support system based on the multi-source data, scientific and rigorous investment decisions can be made based on detailed historical climate records, geographical environment characteristics, altitude differences, soil types, market trends and other factors of selected land parcels; meanwhile, information such as historical climate, real-time weather forecast, disaster early warning and minute-level rainfall prediction within the range of 3-6 kilometers around a specific land parcel can be timely acquired, and agricultural producers can flexibly arrange agricultural activities conveniently.

The utility model discloses a Chinese herbal medicine vibration soil loosening and fertilizing device which comprises a mounting shell, a liquid inlet hose is mounted on the inner side of the mounting shell, one end of the liquid inlet hose is communicated with a liquid storage barrel of an electric sprayer, and the other end of the liquid inlet hose is communicated with one end of a soil loosening and fertilizing mechanism; the soil loosening and fertilizing mechanism is located on the lower side of the mounting shell, and the soil loosening and fertilizing mechanism guides out fertilizer liquid and loosens soil; a vibration mechanism is arranged on the inner side of the mounting shell and vibrates the soil loosening and fertilizing mechanism to loosen soil. Through the integrated design, vibration soil loosening and precise fertilization are synchronously carried out, manual operation links are reduced, the fertilization efficiency is remarkably improved, differential requirements of Chinese herbal medicine planting are met, and the vibration soil loosening function effectively loosens soil, improves the air permeability and water permeability of the soil and promotes root growth of Chinese herbal medicine; meanwhile, repeated damage to the soil structure caused by traditional soil loosening and fertilization separation operation is avoided, and sustainability of soil management is achieved.

The application provides a cultivated soil biological health condition evaluation method and system based on exploratory factor analysis, relates to the soil biological health condition evaluation technical field, and realizes accurate analysis on the complex interaction relationship between soil microbial functions and environmental factors by constructing a soil biological health evaluation system based on a nitrogen biological regulation coordination network; through multidimensional index fusion and deep mining of a factor model, key biological function factors are effectively identified and quantified, and the scientific evaluation ability of soil ecological functions is improved; combined with causal path analysis, the scheme can reveal the influence of environmental pressure on microbial regulation mechanism, realize intelligent attribution and tracing of abnormal health conditions, based on dynamic fusion and hierarchical determination of function and environment scores, the scheme supports accurate health condition evaluation and layered intervention, enhances the early warning ability and decision-making scientificity of soil management, and significantly improves the guarantee level of agricultural sustainable development.

The invention relates to the technical field of cultivated land quality evaluation, and particularly discloses a cultivated land quality grade monitoring and evaluation system and method, and the system comprises a data collection module, a data management module, a data processing module, an intelligent analysis module, and a decision support module. Through continuous monitoring and scientific management measures, the physical, chemical and biological characteristics of the soil are remarkably improved, so that the overall health level of the soil is improved, the production capacity of the soil is enhanced, the yield of crops is increased by optimizing fertilization and management strategies, direct economic benefits are brought, and the method is suitable for large-scale popularization and application. Through precise fertilization and ecological restoration measures, dependence on chemical fertilizers is reduced, production cost is reduced, pollution to the environment is reduced, through training and practical application, the understanding and technical level of practitioners on soil management is improved, and the decision-making ability of the practitioners in agricultural management is enhanced.

The utility model discloses a corn breeding cultivation frame device, which belongs to the technical field of breeding cultivation and comprises a cultivation box, a movable block is slidably connected to the inner end of the cultivation box, a screw rod is rotatably connected to the inner end of the cultivation box, a servo motor is mounted on the cultivation box, and the output end of the servo motor is fixedly connected with the screw rod. A screw sleeve matched with the screw rod is fixedly connected to the movable block, the lower end of the movable block is open, a push plate is slidably connected to the inner wall of the movable block, rollers are rotatably connected to the two ends of the push plate, a plurality of limiting blocks arranged at equal intervals are fixedly connected to the two ends of the inner wall of the cultivation box, and the limiting blocks are of a central symmetry structure; according to the scheme, the servo motor drives the lead screw to rotate, then the movable block and the push plate are driven to slide in the inner cavity of the cultivation box, automatic soil management is achieved, the working efficiency is improved, and complexity and errors of manual operation are reduced.

The invention discloses an ecological balance protection method for tea planting. Aiming at the problems that a traditional single tea garden is ecologically fragile, has many diseases and insect pests, degenerates soil and the like, a tree-shrub-grass multi-layer composite planting system is constructed by scientifically planning tea garden layout, and ecological soil management and disease and insect pest prevention and control measures are matched. Specifically, arbors, shrubs and herbaceous plants in a specific proportion are configured in a tea garden, and technical means such as organic fertilizer application, grass growing cultivation and natural enemy introduction are combined, so that the virtuous circle of a tea garden ecological system is achieved. The method not only improves the quality and yield of the tea leaves, but also protects the ecological environment, and has remarkable ecological benefits and economic benefits.