22 results about "Field capacity" patented technology

The invention discloses a Xinanjiang model correction method based on CLDAS soil humidity assimilation. Soil moisture constants such as field capacity FC and wilting point WP are calculated; corresponding and mapping of a CLDAS observation layer and a model three-layer soil structure (WU, WL and WD) are realized through layered interpolation. For the problem of missing measurement of the CLDAS, a reconstruction model based on space-time Transform is introduced for filling, pixel-level uncertainty is output, and an EnKF observation covariance matrix is constructed based on the pixel-level uncertainty. And then dynamically updating the three-layer soil water content state of the model by using ensemble Kalman filtering, thereby reducing the influence of soil humidity initial estimation and simulation deviation on flood simulation. The flood simulation and real-time forecasting precision can be effectively improved, the method has the advantages of being stable in data source, clear in physical significance and high in applicability, and a new technical approach is provided for state initialization and digital hydrology research of a distributed hydrological model.

The invention relates to the field of data analysis, in particular to a controlled-release nitrogen fertilizer application decision optimization method in combination with soil water content change characteristics, and the method comprises the following steps: obtaining an effective infiltration potential energy optimization factor through field water capacity threshold truncation of a soil volume water content sequence and effective infiltration potential energy time window accumulation difference evaluation; obtaining a water potential lag direction optimization factor through first-order difference gradient direction consistency and trend amplitude gating coupling evaluation of the soil volume moisture content sequence; the DTW local distance is corrected through the effective infiltration potential energy optimization factor and the water potential lag direction optimization factor; and performing release curve weighted prediction on the optimal matching historical sequence corresponding to the optimized DTW distance to obtain an accurate controlled-release nitrogen fertilizer application decision suggestion so as to solve the problems of historical scene matching distortion and controlled-release nitrogen fertilizer application decision deviation caused by neglecting of an effective cumulative effect and a water potential hysteresis effect in the existing Euclidean distance measurement.

The invention relates to a soil conditioner for improving saline-alkali soil as well as a preparation method and application thereof, and relates to the technical field of agricultural soil improvement, and the conditioner comprises furfural residues, a deadwood fermented organic fertilizer, a microbial agent, a protein material and calcium superphosphate. Experimental results show that the conditioner can significantly improve the physical structure of saline-alkali soil, the porosity is increased to 90% or above, the field moisture capacity is increased by 40-80%, and the soil moisture content is greatly increased. Meanwhile, in planting of saline-alkali tolerant plants such as caragana microphylla and Sadong green, the seedling rate of the F2 group formula applying the conditioner is increased to 45-55%, and growth indexes such as plant height, stem diameter and root development of the plants are remarkably superior to those of a control group. The method realizes resource utilization of industrial wastes, has the advantages of good improvement effect, low cost, environmental friendliness, simple process and the like, and is suitable for rapid improvement and ecological restoration of the saline-alkali soil.

This invention relates to the field of water demand prediction technology, specifically to an intelligent water demand prediction system and method for rural areas. By quantifying the crop growth process into continuous growth state parameters and constructing a dynamic crop coefficient model based on a sine function, it solves the problems of discontinuous water demand calculation and physiological distortion caused by traditional step-type models during growth stage transitions. It corrects root depth and combines measured soil moisture content with preset field capacity to dynamically constrain effective precipitation, overcoming the shortcomings of existing technologies that ignore basic soil moisture conditions and overestimate the contribution of natural precipitation. By constructing a priority score based on water depletion time and growth sensitivity, it achieves rational scheduling in scenarios with limited water resources across multiple plots, ensuring the continuity of crop physiological water demand and improving the precision of irrigation decisions and water resource utilization efficiency.

This invention discloses an irrigation index prediction method based on meteorological data and field capacity, belonging to the field of smart agriculture technology. The method includes collecting real-time meteorological data, real-time soil volumetric water content data, soil matrix potential data, and future precipitation forecast data, and performing quality control and time alignment processing to obtain a multi-source dataset. Based on the real-time meteorological data, a reference crop evapotranspiration is calculated, and combined with the crop coefficient, the actual water requirement of the crop is obtained. Based on the real-time soil volumetric water content data and the static parameter value of field capacity, a water stress coefficient is calculated, and combined with future precipitation forecast data, a basic irrigation demand index is obtained. This invention uses the Shuttleworth-Wallace model to separate evapotranspiration and, based on multi-period rolling water balance calculation and risk decision rules, generates an irrigation index that integrates crop evapotranspiration, water deficit, and effective precipitation, achieving online calibration of soil parameters and optimization of irrigation decisions.

This invention discloses an artificial intelligence-based method for drip irrigation under mulch film in cotton, belonging to the field of agricultural water-saving irrigation technology. The method includes the following steps: constructing a multi-source heterogeneous sensing network to collect multimodal data on soil profiles, meteorological environment, and crop canopy; constructing a physical information-guided deep learning network PIDL-Net, coupling the physical priors of the crop growth mechanism model under mulch film with deep learning to predict the daily water requirement of cotton; based on automatic identification of the growth stage, using a dynamic soil moisture threshold with field capacity as the benchmark for adaptive irrigation decisions; achieving closed-loop precise execution of the drip irrigation system through independent zone control of electromagnetic valves, adaptive PID regulation of pipeline pressure, and precise water metering; and using a federated learning framework for online continuous optimization of the model. This invention achieves intelligent and precise management of the entire process of drip irrigation under mulch film in cotton, saving 20%–30% of water and improving irrigation water use efficiency by 25%–40%, balancing yield assurance and efficient water resource utilization.

The application discloses the technical field of agricultural drought monitoring and a kind of agricultural drought monitoring method based on multi-source soil moisture fusion, the method includes the following steps: obtaining active remote sensing soil moisture data, passive remote sensing soil moisture data and VIC model soil moisture data;Scale recalibration is carried out to active remote sensing soil moisture data and passive remote sensing soil moisture data by constructing cumulative distribution function;Multi-source soil moisture fusion is carried out using TC algorithm by season;Soil relative humidity index is calculated based on fusion soil moisture data and field water capacity data;Drought grade is determined based on soil relative humidity index and soil texture data.The application uses the mode of multi-source data fusion by season, not only solves the problem of insufficient monitoring depth and space-time discontinuity of remote sensing soil moisture, but also solves the problem of simulation deviation caused by irrigation influence of model soil moisture, and realizes the accurate monitoring of national scale agricultural drought.

The application discloses a kind of northern flax one season two crops cultivation methods, process includes: in autumn, and in late April of next year sowing is carried out;Before mature period, routine field management, mature period, and timely spray irrigation is carried out, and the height of seedling is 8-10cm when weed is removed;After the first season harvest, spray irrigation treatment, soil humidity is kept at 60% to 70% of field water holding capacity, and potassium dihydrogen phosphate is sprayed on leaf surface during full flowering period to green maturity period.The cultivation method of the application can realize the maturation of the second seed after the first harvest, and the yield of the second harvest seed can reach more than 20 kg, which can increase the yield by more than 50% compared with the conventional cultivation technology.

A fluid dispensing device using only gravity to provide fluid to plant growing medium, for example soil, to the point of either saturation or field capacity. The fluid dispensing device may comprise a mechanism to cease supply of fluid when a threshold amount of fluid in a plant growing medium is detected. The fluid dispensing device may be used to calculate field capacity of different soils. The invention further discloses a gravity powered device for irrigating an area evenly and at a constant rate of irrigation.

The present application relates to the field of data analysis, and more particularly to a method for optimizing controlled-release nitrogen fertilizer application decision-making combined with soil moisture change characteristics, which comprises: obtaining an effective infiltration potential optimization factor by thresholding the field water-holding capacity of the soil volume moisture content sequence and evaluating the cumulative difference of the effective infiltration potential time window; obtaining a water potential lag direction optimization factor by coupling the gradient direction consistency of the first-order difference of the soil volume moisture content sequence and the trend amplitude gating; correcting the DTW local distance by the effective infiltration potential optimization factor and the water potential lag direction optimization factor; and obtaining precise controlled-release nitrogen fertilizer application decision-making suggestions by weighted prediction of the optimal matching historical sequence corresponding to the optimized DTW distance, so as to solve the problem of historical scene matching distortion and controlled-release nitrogen fertilizer application decision-making deviation caused by the neglect of effective cumulative effect and water potential lag effect in the existing Euclidean distance measurement.

The invention discloses a method for relieving continuous cropping obstacles of Tibetan medicine continuous cropping land, and relates to the field of agricultural planting. Comprising the following steps: soil deep ploughing and matrix adding: performing deep ploughing and upturned soil airing on a target land parcel at the depth of 30-40cm, after airing, uniformly spreading a decomposed sheep manure organic fertilizer according to the dosage of 200-300kg per mu, and spreading plant ash according to the dosage of 80-120kg per mu; inoculating with a specific microbial agent: uniformly mixing a compound microbial agent with fine moisture soil, and uniformly spreading the mixture on the surface of the treated soil; after the step S2 and the step S3 are completed, a degradable material is adopted for conducting full ground covering, the covering time is 25-35 days, and the soil humidity is kept to be 50%-60% of the field moisture capacity in the period; planting and growing period management: ditching or digging holes after uncovering the film. According to the method, the problem of continuous cropping obstacles is systematically solved through a three-in-one technical path of bioremediation, soil improvement and ecological regulation and control.

This invention discloses a method for safe and efficient production of crops in acidic cadmium-contaminated farmland using a silicon-calcium-based soil composition. The method includes: S1 preparing the silicon-calcium-based soil composition; S2 applying the composition to the soil surface 1-3 days before plowing and mixing it evenly, maintaining a field water holding capacity of 30%-70%, and statically maintaining this position for 10-20 days; S3 flooding the soil to a field water holding capacity of 120%-200%, maintaining this position for 15-25 days, and then allowing it to dry to 20%-30%; S4 sowing crops after plowing and managing the harvest. This invention can rapidly improve strongly acidic soils, significantly alleviate aluminum toxicity, reduce soil cadmium activity, avoid soil structure damage and nutrient loss, and achieve safe and efficient crop production. Furthermore, it uses industrial and agricultural waste as raw materials, making it low-cost, easy to apply, and in line with the concept of green and sustainable development.

The invention discloses a method for promoting oilseed rape to restore cadmium-contaminated soil, and belongs to the technical field of heavy metal contaminated farmland soil restoration. The method comprises the following steps: preparing a cadmium-polluted farmland 25-35 days before sowing oilseed rape, and adjusting the pH value of the soil to 5.0-5.9; 1-3 days before sowing, rotary tillage is conducted, and ammonium nitrate nitrogen fertilizer, phosphate fertilizer and potash fertilizer are applied according to a specific proportion; after sowing, final singling is conducted in the five-leaf stage of the oilseed rape, and the soil water content is maintained to be 70%-80% of the field water capacity. By accurately regulating and controlling the pH value, the moisture and the nutrient form of the soil, the enrichment efficiency of the oilseed rape on the cadmium in the soil is remarkably improved on the premise that the yield and the economic benefit of the oilseed rape are not affected, the method has the advantages of being easy to operate, low in cost, environmentally friendly and short in remediation period, and efficient remediation and green production of the cadmium-polluted farmland can be effectively achieved.

The invention relates to the technical field of heavy metal contaminated soil remediation, in particular to a method for remedying livestock and poultry manure heavy metal contaminated soil, according to the method, soil to be remediated is deeply ploughed before a composite passivator is applied, the depth is set, the composite passivator is applied, watering is performed after uniform mixing, and soybeans are sown after standing; the sowing depth of the soybeans is 1.5 cm, and the soil humidity is kept to be 60% of the field moisture capacity in the cultivation period. The composite passivator is composed of calcium magnesium phosphate fertilizer, biochar and bentonite, the preferable ratio is 1: 1: 1.2, and the bentonite is crushed and sieved by a 100-mesh sieve. Heavy metals such as copper and zinc in soil can be effectively passivated, the soil fertility is improved, soybean growth is promoted, secondary pollution is avoided, operation is easy and convenient, cost is low, and the method is suitable for large-area farmland remediation.

This invention provides a method, apparatus, medium, and equipment for constructing a variable irrigation prescription map, comprising: acquiring UAV image data, IoT soil sensor data, and meteorological forecast precipitation data in the same time and space image coordinate system; calculating the normalized vegetation index and land surface temperature from the image data, and calculating the vegetation fractal cover based on the normalized vegetation index; establishing a temperature-fractal cover feature space based on land surface temperature and vegetation fractal cover, and calculating the temperature-vegetation drought index; establishing a functional relationship between soil moisture content and temperature-drought vegetation index using IoT soil moisture content data and temperature-drought vegetation index data as input, and estimating the soil moisture content of the entire region; extracting the field water holding capacity during the current crop planting period; calculating the irrigation quota using the field water holding capacity, the soil moisture content of the entire region, and meteorological forecast precipitation data, and obtaining the final variable irrigation prescription map by combining agronomic and irrigation cycle data.

The invention discloses an application of bradyrhizobium sp. G94 in improving the water retention capacity of soil, and relates to the technical field of microorganisms. The bradyrhizobium sp. G94 disclosed by the invention can be used for improving soil moisture indexes (improving field moisture capacity, saturated moisture content and actual soil moisture content) and improving soil pore structures (improving soil total porosity, reducing soil bulk density and improving soil capillary porosity). Test results show that the water-holding capacity of field soil subjected to compounding treatment of 2% of the biochar and the bradyrhizobium G94 is increased to 45.543% from 39.993% of a control group, the saturated water content is increased to 59.800% from 44.503%, and the water-holding capacity of the soil is remarkably improved. Bradyrhizobium G94 is used for improving soil, is more environment-friendly and can achieve a synergistic effect with biochar, the technical bottleneck of an existing fungicide is broken through, and support is provided for constructing a green and efficient corn production system.

The application provides a method for improving productivity of degenerated grazing grassland, and belongs to the technical field of grassland restoration.The application comprises the following steps: installing a water and fertilizer automatic management device every 2m on a grazing grassland in need of restoration; performing no-tillage supplemental sowing of pasture: sowing gramineous pasture in a furrow, and then crosswise sowing two leguminous pastures mixed uniformly with the gramineous pasture; the water and fertilizer automatic management device is provided with a wireless sensor system, the soil water content, soil nutrient content and vegetation growth condition are monitored by using the wireless sensor system, and precise irrigation and precise fertilization are performed according to the monitoring data.The application improves the productivity of the degenerated grassland by the measures of intelligent fertilization and irrigation and no-tillage supplemental sowing.The application strictly controls the fertilization time, dosage and field water holding capacity of the pasture on the grassland, can promote the absorption of the pasture on the grassland to the nutrient components, and further improves the productivity of the grassland and the yield of the pasture.

The invention discloses a method for rapidly measuring and calculating the porosity of field soil, which is used for rapidly estimating the capillary porosity of the soil by directly measuring the fresh soil mass, the volumetric water content and the cutting ring volume under the state of the water-holding capacity of the field soil. Specifically, fresh soil in a field moisture capacity state is collected through a cutting ring, and the mass water content and the volumetric water content of the fresh soil are obtained through measurement and calculation; calculating the mass of water based on the volumetric water content of the fresh soil and the volume of the cutting ring; calculating the mass of dry soil based on the mass of the fresh soil and the obtained mass of the water, and calculating the volume weight of the soil according to the mass of the dry soil and the volume of the cutting ring; calculating the total porosity of the soil according to the soil bulk density and preset soil particle density; and taking the numerical value of the volumetric water content as an estimated value of the capillary porosity of the soil, and calculating the non-capillary porosity of the soil according to the total porosity and the estimated value of the capillary porosity.

The present application relates to a kind of biochar associated radical reinforced straw decomposition operation method, belong to agricultural technology field, including the following steps: 1) straw field pretreatment, field straw is crushed to length 2-5 cm;2) high PFRs enrichment biochar preparation and selection, using 400-600 ℃ oxygen-limited pyrolysis process preparation biochar, constant temperature keeps, natural cooling to room temperature;Selection of high PFRs biochar with high surface persistent free radical (PFRs) abundance, developed pore structure, ash content 10%-25%, standby;3) biochar quantitative distribution mixes evenly, weigh high PFRs biochar, evenly spread on the surface of crushed straw;4) field moisture and ventilation control, control soil moisture content to 60%-80% of field water holding capacity, then use soil air blaster in farmland 3 meters interval carries out 50-60cm depth soil ventilation;5) stirring covering soil abiotic decomposition microenvironment, using stirring operation, straw-biochar mixture is turned into 0-20 cm farmland plough layer, and moderate covering soil conservation.

This invention provides an integrated irrigation and drainage field experimental device and its application method, relating to the field of farmland irrigation technology. The integrated irrigation and drainage field experimental device includes: a storage pipeline mechanism, an irrigation control mechanism, a drainage metering mechanism, and a soil testing mechanism; the storage pipeline mechanism includes a water tank, a valve connected to the water tank, and a submerged pipe connected to the water tank via the valve and a tee pipe. This invention uses a dedicated submerged pipe buried underground as a shared irrigation and drainage channel. Soil sensors collect real-time data on soil moisture, temperature, and conductivity at different depths, which is transmitted to a control terminal via a host computer. The data, combined with the field water holding capacity threshold during the crop's growth period, determines whether irrigation or drainage is necessary. An intelligent water level controller enables automatic control of the water tank level, ultimately automating the irrigation process.

The invention provides an intelligent rape irrigation decision-making method based on soil moisture dynamic modeling. The method comprises the following steps: step 1, obtaining the field moisture capacity FC of a rape field to be subjected to irrigation decision-making; step 2, according to the field moisture capacity FC, setting a soil volumetric water content target theta target; step 3, monitoring the growth period of the rape, obtaining the depth of a root layer of the rape, and determining the thickness Z of a soil layer for effectively absorbing moisture; 4, the soil water content theta < current > of the rape field is monitored, whether irrigation is carried out or not is judged according to preset irrigation triggering conditions, if yes, the step 5 is executed, and if not, the step 3 is executed; and step 5, calculating the gross irrigation amount IRRgross for irrigation, monitoring the soil water content theta < current > of the rape field, if a preset irrigation stopping condition is met, executing the step 3, and otherwise, continuously irrigating according to the gross irrigation amount IRRgross.