32 results about "Root distribution" patented technology

The invention relates to the technical field of cultivated land quality monitoring, and discloses a multi-dimensional adaptability index-based cultivated land quality dynamic evaluation system, which comprises a crop root feature analysis module for inputting crop varieties and growth period parameters, calling a root depth database to obtain a rooting depth interval, and outputting slope angle parameters matched with root distribution; the three-dimensional space modeling sampling planning module is used for receiving the inclined plane angle parameters, constructing a cubic three-dimensional model of an evaluation area, generating an initial diagonal plane, laying sampling points according to a vertical gradient, and generating three-dimensional coordinates; the central axis of the cube three-dimensional model serves as a rotating axis, the initial diagonal plane is controlled to rotate by 90 degrees each time, and four orthogonal diagonal planes are generated. According to the cultivated land quality dynamic evaluation system based on the multi-dimensional adaptability index, through root system depth-oriented three-dimensional inclined plane sampling and space rotation coverage, the capture limitation of traditional grid point distribution on cultivated land micro-domain variation is broken through, and three-dimensional accurate description of soil attributes within a crop rooting range is achieved.

The invention relates to the field of ecological hydrology, and discloses an arid and semi-arid region plant ecological water consumption calculation method, which comprises the following steps: acquiring meteorological, soil and vegetation phenological data; constructing a root system depth dynamic evolution model, and updating the maximum depth of the root system day by day; determining the depth weight of the effective moisture extraction layer based on the dynamic root system distribution; calculating the weighted average effective soil water content; and outputting daily-scale ecological water consumption in combination with the corrected transpiration scale model. By coupling meteorological driving, soil moisture stress and a dynamic regulation and control mechanism of a plant growth stage on a root system, the water consumption inversion precision is remarkably improved, the root-mean-square error is reduced by more than 25% through actual measurement verification, and a high-precision quantification tool is provided for ecological water demand evaluation and water resource management.

The invention relates to the technical field of edge calculation, in particular to a precise irrigation system and method based on a plant growth model and edge calculation, and the system comprises an environment perception fusion module, a growth state matching module, an edge water volume calculation module, an equipment instruction issuing module and a feedback cycle recognition module. According to the invention, continuous detection and unified processing are carried out on environmental data through edge nodes, data integrity and space mapping efficiency are improved, moisture absorption capability and root distribution are matched according to crop growth stage parameters, an area to be irrigated is accurately calibrated, and target water volume calculation is locally completed in combination with a real-time soil state. A time and flow matching structure is constructed, pertinence of irrigation control is improved, control instructions are executed through distributed control equipment, response behaviors are recorded, equipment state traceability is achieved, continuous feedback recognition is conducted on soil moisture changes after irrigation, dynamic adjustment of a closed loop is promoted, the system response speed and irrigation precision are improved, and the risk of resource waste is reduced.

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 application discloses a kind of based on the growth environment multi-factor comprehensive monitoring method and system of old tree protection, including step (S1) non-invasive perception network construction: in the crown layer area of old tree deployment meteorological monitoring unit, real-time acquisition photosynthetic active radiation intensity PAR and crown layer surface temperature T c ; with trunk as center, soil sensor array is radially laid in root distribution area, and soil volume water content θ and soil water potential are monitored in layers;Micro-invasive thermal diffusion probe is installed at the breast diameter of trunk, and xylem original liquid flow flux SF raw Is continuously measured, and initial liquid flow flux SF raw Calibration is carried out;Foundation interferometric radar is erected outside the protection zone, and three-dimensional spatial distribution point cloud P r Of root is obtained by surface scanning.This application can realize more comprehensive old tree monitoring, and timely find the existing abnormality of old tree environment.

The invention discloses a perennial fruit tree freeze injury treatment and production and income increasing management method which comprises the following steps: digging holes: symmetrically digging two holes in a fruit tree root distribution area, the depth of each hole being 15-20cm, and the hole diameter being suitable for accommodating a preset fertilizer and an aqueous solution; applying a functional fertilizer: uniformly applying 0.8-0.9 jin of an AnWo compound microbial fertilizer into each hole, wherein the total application amount of a single plant is 1.6-1.8 jin; 10-15 kg of the prepared mixed aqueous solution is applied in an equal amount through two holes, and it is ensured that the solution permeates into a root system distribution layer; soil covering and effect maintaining, wherein the holes are immediately filled and leveled up with original soil after watering, and the fertilizer makes full contact with the root system. The invention relates to the technical field of fruit tree cultivation. According to the perennial fruit tree freezing injury treatment and production and income increasing management method, the freezing injury treatment scheme has the advantages of being easy to operate, low in cost and quick in effect, and is suitable for spring freezing injury emergency treatment of perennial fruit trees.

The invention belongs to the technical field of agricultural cultivation and root breaking machinery, and particularly relates to a root breaking machine for agricultural mechanical cultivation, which comprises a shell and a rotary tillage mechanism, the rotary tillage mechanism comprises a main shaft, a positioning bulge, a plurality of outer cylinders and a plurality of rotary tillage cutters; the main shaft is provided with the positioning protrusion, the positioning protrusion and the main shaft are both connected with the outer cylinder in a sliding mode, the outer cylinder can move in the axial direction of the main shaft, and the rotary blade is connected to the outer cylinder. Wherein the rotary blades can synchronously rotate along with the main shaft. The positioning protrusions on the main shaft are in sliding fit with the outer barrels, so that the outer barrels can move in the axial direction of the main shaft, and the overall position of the rotary blade is driven to change. Compared with a traditional structure that the rotary blades are fixedly installed, the space and the arrangement position of the rotary blades can be flexibly adjusted according to operation requirements, the rotary blade device adapts to different soil conditions and different crop stubble distribution, and the root breaking effect and the operation adaptability are improved.

The invention discloses an environment adjusting method for soil of a black soil root system layer, and belongs to the technical field of facility agriculture. The adjusting method comprises the steps that the depth range of the black soil root system layer is obtained after ploughing, and the black soil caking state in the depth range is obtained; based on the black soil caking state, preparing a black soil caking modifier; based on a black soil caking modifier dispenser, a black soil caking modifier is injected into the soil of the black soil root system layer; a nutrient dispenser is arranged on the black soil root system layer, and base fertilizer is dispensed; monitoring a crop state in a crop growth period in real time, and determining a nutrient demand of the crop; based on root system distribution of crops, nutrients are put into different root system layer depths; monitoring the caking state of the root system layer of the black soil during the growth period of the crops, and putting the black soil caking modifier during the growth period of the crops. The problem that the black soil root system layer is difficult to efficiently and individually adjust in the prior art is solved, and then the environment adjustment effectiveness of the black soil root system layer is fully improved.

The invention discloses soil loosening equipment for rice planting, and relates to the technical field of rice planting, the soil loosening equipment comprises a transmission assembly, a soil loosening assembly and a synchronous soil crushing assembly, and the soil loosening assembly and the synchronous soil crushing assembly are arranged at the front end and the rear end of the transmission assembly respectively. The device can adapt to different line spacing, soil hardness and root system distribution in real time by integrally utilizing lifting translation of the soil loosening teeth and angle adjustment of the soil ploughing piece, thoroughly solves the problems of missing loosening, excessive loosening and root damage of traditional equipment, effectively improves the operation coverage rate, realizes power linkage of soil loosening, soil ploughing and soil crushing by utilizing the transmission assembly, and improves the working efficiency. The soil is prevented from being hardened in working procedure gaps, the working efficiency is improved, when the soil loosening assembly works, the synchronous soil crushing assembly ascends and descends synchronously, potential energy is adjusted, soil obtained after soil loosening is accurately received, and soil block accumulation or soil crushing lagging caused by power separation of traditional equipment is avoided.

This application provides a slope reinforcement method based on artificially guided root distribution, belonging to the technical field of slope protection. The method includes: investigating the target slope to determine the dominant load type; determining a first root distribution ratio suitable for the target slope based on the dominant load type and predetermined root distribution ratios that are optimal for both static and dynamic soil-fixing strength; and implementing slope reinforcement work according to the first root distribution ratio. This technical solution, by determining the root distribution ratio of slope vegetation based on load type for reinforcement work, is a targeted slope reinforcement method that facilitates better slope reinforcement results.

This invention discloses a method for optimizing the synergistic application mechanism of potassium sulfate and magnesium, relating to the field of intelligent agricultural fertilization control. By collecting growth characteristic parameters such as the fruit weight gain rate and root distribution depth of mandarin oranges in real time, the method combines a T-S fuzzy model to calculate and dynamically adjust the fertilizer application rate, ensuring that the fertilizer application rate accurately matches the growth needs of the crop, avoiding over-fertilization or under-fertilization.

The invention discloses a soil humidity threshold regulation and control method for efficient cultivation of red plum apricots, and relates to the technical field of soil humidity threshold regulation and control. The method comprises the following steps: acquiring a soil type, a root distribution depth and a climate condition, determining a soil water retention capacity and an initial moisture utilization rate in combination with a preset red plum apricot growth stage database, classifying growth stages by adopting a k-means clustering algorithm, and acquiring an initial humidity threshold matched with the soil and the climate. If the climate condition deviation exceeds the threshold value, the humidity threshold value is adjusted through a linear regression algorithm, and the dynamic environment change is ensured to be adapted. Based on the adjusted humidity threshold value and root system distribution, a decision tree algorithm is adopted to evaluate the ponding risk, a dynamic drainage scheme is generated in combination with a drainage strategy database, and finally the irrigation amount is adjusted in real time through a proportional integral differential algorithm. The irrigation and drainage strategy can be dynamically optimized, accurate water management is achieved, the growth efficiency of the red plum apricots is improved, and the water accumulation risk is reduced.

The application is an electric three-way ball valve pressure flow adaptive control method for agricultural irrigation, relates to adaptive fusion of multi-depth soil humidity data and intelligent irrigation control technology, aims to solve the problem of poor adaptability of existing root zone water state monitoring and regulation to different crop root distribution and dynamic response characteristics, and its core scheme includes using a sensor array to collect humidity time series data in layers, extracting root zone response inflection points through multi-stage calibration, denoising and sliding window differentiation, combining historical irrigation and crop growth databases to construct a multi-layer humidity data weighting and crop physiological lag fingerprint library, realizing weight adaptive adjustment based on active root depth, and further generating humidity values reflecting the actual root zone water condition through dynamic weighted fusion, thereby optimizing fuzzy PID parameters and accurately driving the electric valve to execute closed-loop irrigation. The method significantly improves the intelligence and adaptability of humidity fusion and irrigation regulation, and can effectively support fine management of root zone water under multi-crop and variable working conditions.

The invention relates to the technical field of irrigation, in particular to an automatic irrigation method and device based on artificial intelligence, and the method comprises the steps: collecting crop physiological signals, microclimate data, soil parameters, root distribution data, crop canopy structure parameters and sprinkling angle adjustment range data of a planting area in real time; if the crop physiological signal exceeds a health threshold value, identifying a signal abnormity type and matching a growth stress factor; simulating an irrigation intervention effect and evaluating an irrigation priority based on the regional ecological model; if the priority is high, target irrigation working condition features are extracted from a historical irrigation database; acquiring irrigation demand parameters in combination with real-time data, and comparing the fitness; if the adaptation degree is insufficient, a dynamic irrigation scheme is generated according to the root system distribution data, the soil parameters and the sprinkling angle adjusting range data; and irrigating the planting area based on the dynamic irrigation scheme. According to the invention, dynamic and accurate irrigation of crops in a planting area can be realized.

This invention provides a rapid in-situ soil nutrient measurement method based on dielectric spectroscopy, belonging to the field of agricultural soil testing technology. The invention first deploys multiple monitoring points in the target area to simultaneously collect broadband dielectric spectrum, temperature, moisture content, and conductivity data, constructing a multi-source time-series dataset. Next, multi-dimensional feature vectors are constructed using multi-scale wavelet transform and entropy weighting. A three-Cole-Cole model is used to quantitatively remove moisture interference. The Arrhenius equation and partial least squares regression are employed to correct for the effects of environmental temperature changes and background electrolytes, respectively, extracting the pure response parameters of the target nutrient molecules. The initial nutrient values ​​of each soil layer are inverted using a random forest model, and the soil layers are weighted and fused based on cotton root distribution density to obtain the final nutrient content of the region. This method achieves in-situ, rapid, continuous, and undisturbed monitoring of soil nutrients, providing reliable technical support for precision agricultural management.

The invention provides a waxberry seedling raising and fertilizing device and method. The method comprises the following steps: acquiring canopy information of waxberry seedlings to be fertilized in a waxberry seedling raising area; identifying the seedling condition grade of the waxberry sapling to be fertilized according to the canopy information; triggering a fertilization monitor according to the seedling condition level to scan the root distribution density and soil nutrient abundance of the rhizosphere soil area of the waxberry saplings to be fertilized; according to the root system distribution density information and the soil nutrient abundance information of the rhizosphere soil area, determining a limiting ring belt of a fertilizer control plate when annular furrow application is performed on the waxberry saplings to be fertilized in combination with a vertical coverage surface of the fertilizer control plate; determining the minimum constraint value of the fertilization spacing when the waxberry saplings to be fertilized are fertilized by combining the limiting ring belts with the positions of the main absorbing root zones of the waxberry saplings to be fertilized; and controlling the fertilizer control panel to perform constrained fertilization on the waxberry seedlings to be fertilized based on the minimum constraint value. According to the technical scheme provided by the invention, the chemical fertilizer can be controlled to cover the effective absorption area of the waxberry saplings to be fertilized.

The invention discloses a precise fertilization and moisture management system for traditional Chinese medicinal materials, and relates to the technical field of agricultural planting, and the system comprises a data collection module which is used for dividing a planting region into a plurality of sub-regions according to root distribution characteristics and environmental data, and collecting soil parameters, medicinal material growth states and environmental data of each sub-region in real time; the intelligent decision-making module is used for processing the collected data based on a planting prediction model constructed by a deep learning algorithm, dynamically predicting the fertilization demand quantity and the water demand quantity of the medicinal materials, analyzing the demand quantity according to a cost optimization algorithm, and generating a control strategy; wherein the control strategy comprises a fertilization amount, a water consumption amount and a proportioning scheme of an organic fertilizer and a chemical fertilizer; and the execution control module is used for controlling the mixing of the two paths of fertilizer liquid, the self-adaptive adjustment of the fertilizer injection depth and the adjustment operation of the irrigation flow based on the control strategy. The technical problems that root system microenvironment detection is difficult, water and fertilizer prediction is inaccurate, and distribution is uneven are solved.

The utility model relates to the technical field of wheat and corn water and fertilizer drip irrigation, in particular to a wheat and corn intercropping water and fertilizer separate control drip irrigation device which comprises a drip irrigation pipe. The drip irrigation device further comprises sealing cover plates installed at the two ends of the drip irrigation pipe correspondingly, the sealing cover plates are used for sealing the two ends of the drip irrigation pipe, two installation blocks are connected to the outer side faces of the sealing cover plates, and inserting rods are installed at the lower ends of the installation blocks. The branch control assembly comprises a fixing rod, a separation module, a branch conveying module, a cavity separation module, a connection module, a transportation module and a drip irrigation module which are arranged in the drip irrigation pipe, the separation module is used for separating an inner cavity of the drip irrigation pipe, the branch conveying module is responsible for guiding water into the inner cavity of the corresponding drip irrigation pipe, and the cavity separation module serves as a buffer cavity area of the branch conveying module; the four rows of drip irrigation holes with different intervals and hole diameters are formed, the corresponding cavities and the drip irrigation holes can be selectively used according to the intercropping row spacing, planting density and root system distribution characteristics of wheat and corn, and the irrigation requirements of various intercropping modes are met.

The application provides a root system distribution feature and slope erosion correlation analysis method, comprising: acquiring root system image data, extracting root system distribution features from soil samples through a scanning device, separating root system structures by using an image segmentation algorithm, and obtaining a root system density distribution map; calculating a congestion degree index according to the root system density distribution map, grouping root system areas by using a clustering algorithm, and determining the numerical change of the congestion degree at different growth stages; for the stage division result, acquiring slope erosion simulation data, generating an erosion intensity distribution by using a water flow simulation software, and determining a corresponding matrix of the erosion intensity and the congestion degree; analyzing a non-linear corresponding relationship from the corresponding matrix, fitting a function relationship between the congestion degree and the erosion intensity by using a regression analysis model, and obtaining a fitting parameter set; inputting real-time root system data into an optimized corresponding relationship model to generate an erosion control effect prediction, and determining an optimal erosion prevention intervention point.

This invention relates to a method for judging soil moisture and precise irrigation in tobacco fields in the Pu'er tobacco region and its application. The method includes: (1) combining tobacco plant morphological diagnosis with soil moisture quantitative monitoring to judge the soil moisture status in the tobacco field; (2) classifying the degree of water shortage according to the soil moisture status in the tobacco field and the growth and development stage of the tobacco plants, and performing precise irrigation on the tobacco plants; in step (1), the morphological diagnosis is based on the dynamic recovery of wilting tobacco leaves and the tactile sensation of the leaves, and the soil moisture quantitative monitoring method is: setting up soil moisture sensors according to the root distribution depth and tobacco plant planting density at different growth stages. This invention combines tobacco plant morphological diagnosis with soil moisture quantitative monitoring, establishes collaborative decision-making rules, realizes the organic integration of morphological indicators and sensor data, and overcomes the defects of strong subjectivity or obvious lag in single judgment methods.

The invention relates to a stubble strong-supporting crushing cutter group and bionic opening and closing shovel low-soil-disturbance root cutting device. The stubble strong-supporting crushing cutter group and bionic opening and closing shovel low-soil-disturbance root cutting device comprises a rack, a three-point suspension frame, a coaxial forward and reverse rotation stubble cutting mechanism and an inclined crank sliding block root cutting mechanism. The coaxial forward and reverse rotation stubble cutting mechanism drives cutterheads located on a cutter roller shaft and a shaft sleeve to rotate forwards and backwards through a gear set, the cutterheads are integrated with three cutters which are gradually decreased in size and complementary in function, stubble gathering, clamping and efficient supporting and crushing are achieved, the forward speed of the machine is balanced through a horizontal speed component generated by an inclined crank sliding block mechanism, and therefore the stubble cutting efficiency is improved. In the working process of the machine tool, the shovel wings can vertically enter and exit from soil relative to the ground, the shovel wings are prevented from generating more soil return belts when exiting from the soil due to advancing inertia of the machine tool, the shovel wings are designed to be in a shovel shape imitating Bongtian wings, soil entering resistance can be reduced, the shovel wings are hinged through hinges, and the shovel wings are flexibly opened and closed to adapt to root distribution when exiting from the soil and entering into the soil in cooperation with telescopic motors. The shovel surface is provided with a raised grain soil loosening guide rail, an internal notch is integrated with a resistance wire for heating and resistance reduction, and soil adhesion during root cutting is effectively reduced.

The invention discloses an intelligent orchard soil moisture content real-time monitoring and early warning system. A multi-depth sensor node network is deployed through a low-power wide area network architecture, real-time soil moisture content data covering a main distribution layer of a fruit tree root system is periodically collected, and industrial information processing is performed on the soil moisture content data, synchronous meteorological data and soil attribute data to generate a standard data set; the data set is combined with the fruit tree growth stage, the soil texture and future weather forecast to be input into a pre-trained water demand dynamic evaluation model to output a dynamic water shortage level signal, and finally a precise regulation and control instruction is generated according to the signal and an irrigation strategy rule; the problems that multi-point interpolation or single depth monitoring deviates from actual root system moisture distribution, power consumption and transmission stability are difficult to balance, an early warning model is not combined with growth stages and meteorological information, so that accuracy is low, and monitoring and irrigation decision linkage timeliness is poor are solved. The accuracy of orchard soil moisture content monitoring and early warning and the timeliness of irrigation regulation and control are improved.

The invention discloses a spatio-temporal dynamic determination method and device for an ecologically suitable underground water level in an arid region. The method comprises the following steps: acquiring surface elevation, meteorology, hydrology, soil, geology, vegetation ecology and human activity and social economic data of a research region; calculating the maximum rising height and spatial distribution of capillary water above the diving surface according to the soil data; determining main vegetation types and root distribution characteristics thereof according to the vegetation ecological data; according to the maximum rising height of capillary water, vegetation types and root system distribution characteristics, determining a buried depth threshold value and spatial distribution of ecologically suitable underground water; constructing a groundwater numerical model of the research area, and simulating to obtain groundwater levels in different stress periods; the simulated underground water level is converted into underground water burial depth, space-time comparison is conducted on the underground water burial depth and an ecologically-suitable underground water burial depth threshold value, and ecologically-suitable underground water levels of different regional grids in different stress periods are determined. According to the method, the spatio-temporal dynamic refined evaluation and prediction of the ecologically suitable underground water level on the regional scale are realized.

This invention relates to the field of ecohydrology and discloses a method for calculating plant ecological water consumption in arid and semi-arid regions. The method includes: acquiring meteorological, soil, and vegetation phenological data; constructing a dynamic evolution model of root depth and updating the maximum root depth daily; determining the depth weight of the effective water extraction layer based on the dynamic root distribution; calculating the weighted average effective soil moisture content; and outputting the daily-scale ecological water consumption by combining a modified transpiration ratio model. This invention significantly improves the accuracy of water consumption retrieval by coupling meteorological drivers, soil moisture stress, and the dynamic regulation mechanism of root system behavior during plant growth stages. Field measurements have verified a reduction of over 25% in the root mean square error, providing a high-precision quantitative tool for ecological water demand assessment and water resource management.

The application relates to a root system distribution imaging contrast medium, a preparation method, an in-situ imaging system and a method, belongs to the field of ecological restoration and protection, and is characterized in that the contrast medium is mixed by a composite growth hormone, a dissolving agent, a tracer and a solvent; the in-situ imaging system comprises emitting devices for emitting neutron beams to plant root systems, receiving devices for receiving the neutron beams, imaging devices for converting the received neutron beams into images, and two drilling pipes for drilling, each of the drilling pipes comprises a hollow pipe with a top opening and a drill bit arranged at the bottom of the hollow pipe, a positioning structure is arranged in the hollow pipe, and the positioning structure comprises a positioning chuck and a guide pipe arranged on the upper surface of the positioning chuck. The application can effectively adapt to the topography of mountainous areas, eliminate the environmental influence of mountainous areas, and improve the three-dimensional imaging precision and efficiency of the neutron radiation in-situ testing technology for the root system distribution of plants in mountainous areas.

This invention relates to the field of plant canopy transpiration estimation, specifically a method for estimating canopy transpiration in shallow-rooted plants. The invention collects readily available surface environmental factors such as total radiation, vapor pressure deficit, soil moisture content at 20cm depth, canopy leaf area index, and wind speed. It then uses the envelope method to extract the corresponding standardized canopy transpiration rate values ​​and fits control functions one by one. Finally, it constructs a canopy transpiration estimation model by multiplying the output values ​​of each control function, the leaf area index, and the canopy transpiration rate per unit leaf area. This effectively avoids the shortcomings of traditional Penman-Monteith-type models, which require a large number of difficult-to-obtain parameters such as crop coefficients and canopy impedance, significantly lowering the barrier to model use. Furthermore, considering the root distribution characteristics of shallow-rooted plants, it uses soil moisture content at a depth of 20cm to improve the accuracy of canopy transpiration estimation.

This utility model discloses an integrated device for plant seedling maintenance, relating to the field of seedling maintenance technology. It includes a support frame, of which multiple supports are provided, and a ring-shaped support member is fixedly connected to the top of each support frame. A ring-shaped irrigation member is slidably connected to the center of the bottom of the ring-shaped support member. When it is necessary to adaptively adjust the irrigation height of the irrigation nozzle, the positioning pin on the outer wall of the sliding plate can be pulled outwards, separating its end from the positioning hole. After being pulled out, the ring-shaped irrigation member can be slid up and down along the guide groove and slide of the support frame according to actual needs until the irrigation nozzle is aligned with the target irrigation area. Then, the positioning pin is released, allowing it to be inserted into the positioning hole of the corresponding height under the action of a compression spring, quickly locking the height of the ring-shaped irrigation member. The irrigation height can be adjusted according to the root distribution characteristics of the seedling and mature stages of the plant.

The invention relates to the technical field of greenhouse crop root growth, and particularly discloses a greenhouse tomato root distribution model considering film mulching and water stress and a construction method. According to the method, a root length density distribution model under filmless sufficient water supply treatment is established based on a significant binary cubic polynomial relationship between greenhouse tomatoes and soil humidity and heat, the influence of film mulching and moisture on tomato root systems is considered, a film mulching factor fm and a moisture stress factor K are introduced into the model to improve the tomato root system distribution model, and the result shows that the method has the advantages that the method is suitable for large-scale popularization and application. The determination coefficients R2 under the treatment of Y0.9, N0.9 and Y0.5 are 0.9, 0.97 and 0.98 respectively, and the NRMSE is 0.20, 0.22 and 0.24 respectively, so that the simulation precision of the model is relatively good, and a theoretical support is provided for formulating a scientific and reasonable irrigation and film mulching management scheme for greenhouse tomatoes.

The invention provides a dry farming optimal soil body profile construction and barrier layer treatment method for different soil types in northeast China, and relates to the technical field of artificial intelligence and agricultural soil digital modeling. The dry farming optimal soil body profile construction and barrier layer treatment method for different soil types in northeast comprises the steps that S1, a northeast region soil multi-dimensional parameter database is constructed, and parameters comprise soil type parameters, physical structure parameters, moisture characteristic parameters, mechanical resistance parameters, crop root system distribution parameters and historical yield data; and performing normalization processing on the parameters to form a structured training data set. By means of construction and optimization of a multi-dimensional parameter database, application of a deep learning algorithm, embedding of reinforcement learning decisions and the like, precision and adaptivity of soil profile construction and barrier layer treatment are effectively improved, and by means of digital integration of multi-dimensional soil parameters, characteristics of different soil types in the northeast region can be comprehensively mastered.

The invention relates to a digital agricultural factory optimization design method and system based on fluid mechanics, and relates to the technical field of smart farms, and the method comprises the steps: obtaining a soil root system distribution region of a preset soil region; judging whether the soil root system distribution area meets the requirement of a preset root system uniform distribution area or not; if yes, continuing to obtain the soil root system distribution area of the soil area for cyclic judgment; if not, analyzing the soil root system distribution area and the uniform root system distribution area to determine a root system deviation area; controlling a preset root growth intervention device to adjust the root growth direction according to the soil root distribution area and the root deviation area. The application has the effect of increasing the growth speed of crops.