18 results about "Root distribution" patented technology

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 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 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 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 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 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 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.

This application provides a method for planting street trees to expand their root system range, comprising the following steps: excavating a planting strip for street trees along the roadside; marking out and determining the planting area and permeable support area for each street tree; laying support modules at the bottom of the planting strip, with the support modules located within the permeable support area; applying base fertilizer to the bottom of the planting area and covering it with a thin layer of soil; placing the tree within the planting area; pre-burying tensioning components at the four corners of the tree's root ball; laying root-blocking boards on both sides of the planting strip parallel to the road and on the top side of the support modules; preparing special planting soil and backfilling it into the planting area and the permeable support area; laying permeable paving above the support modules; installing tree pit covers above the root balls and connecting the tree pit covers to the tensioning components. This application can improve the problems of limited root growth space for street trees, insufficient root distribution range, root damage to roads and pipelines, and poor permeability and aeration of root soil due to long-term pressure.