7 results about "Natural stress" patented technology

The invention relates to a data processing system specially suitable for a prediction purpose, and discloses a rice yield prediction and analysis processing method based on multi-source data fusion, which comprises the following steps: presetting a window after sunrise every day, and synchronously collecting canopy and air temperature time sequence data; according to the method, the change rate ratio is calculated to obtain a thermal response speed value and generate a daily physiological status marker, and then the yield trend is predicted in combination with the growth stage and the marker sequence, and the method for predicting by analyzing the physiological status is provided by capturing the dynamic response characteristics of the rice to the natural pressure test. The timeliness of stress early warning is improved; according to the method, edge calculation and multi-mechanism collaborative logic are fused, the hardware deployment cost is reduced while the prediction precision is ensured, the timeliness of data acquisition is improved, and a prediction decision method is provided for agricultural production.

The present application relates to a data processing system specially suitable for prediction purposes, and discloses a rice yield prediction and analysis processing method based on multi-source data fusion, comprising: synchronously collecting canopy and air temperature time series data in a preset window after sunrise every day, obtaining a thermal response speed value by calculating the change rate ratio, and generating a daily physiological state marker, and then combining the growth stage and the marker sequence to predict the yield trend, the present application captures the dynamic response characteristics of rice to natural stress test, provides a prediction method by analyzing the physiological state, improves the timeliness of stress warning, and combines edge computing and multi-mechanism collaborative logic to ensure prediction accuracy, reduce hardware deployment cost, improve data acquisition timeliness, and provide a prediction decision method for agricultural production.

The application provides a fissure rock mass natural stress and water flow environment indoor simulation device, and relates to the technical field of fluid-structure coupling test.The simulation device uses the fissure rock mass sample to be placed in a stress and water flow environment simulation tank, injects hydraulic oil into the test cabin, transmits the hydraulic oil through the flexible shell and the confining pressure head, applies the specified confining pressure to the fissure rock mass sample, drives the shaft pressure rod to apply the specified axial pressure to the fissure rock mass sample through the shaft pressure head, simulates the specified water flow environment to the fissure rock mass sample through the water inlet and the water outlet, and makes the simulation device apply the three-dimensional natural stress to the fissure rock mass sample and apply the water flow environment to the lateral side of the sample, so that the water can flow into the fissure rock mass sample and flow out of the sample.Based on the simulation device, the important tests such as the triaxial compression test and the borehole water pressure test under the coupling condition of the fissure rock mass stress and the water flow can be carried out, and the simulation device has the characteristics of simple operation, various functions and wide application range.

The application provides a high-efficiency rock thermal conductivity test device and test method for simulating a natural confining pressure environment. The test device comprises an upper computer, a confining pressure loading system and a test measurement system, and the confining pressure loading system and the test measurement system are arranged above and below and controlled by the upper computer. The application can provide a high-efficiency and accurate test method for simulating the change rule of the thermal conductivity of rocks under a natural stress environment. The confining pressure loading system is adopted in the design, and true triaxial confining pressure can be applied to the sample to simulate the stress environment of the natural rock mass. The confining pressure loading system contains four confining pressure loading bins, and four samples can be measured at the same time to improve the test efficiency and form a comparative test. The optical scanning technology based on the mobile point heat source principle is adopted to test the thermal conductivity of the sample, and the test speed is fast and the precision is high. The sample size is small, the cubic sample is small, the test surface height difference is small, and the size is greater than the scanning channel, which can meet the test needs.

The application provides a method for evaluating lodging resistance of rice and application thereof, and belongs to the technical field of rice planting. The application provides a method for evaluating lodging resistance of rice, which is based on the principle of engineering bionics to simulate natural stress, realizes precise and efficient stress treatment and data collection by establishing a standardized test system with strong controllability, and has the advantages of strong representativeness, strong practicability, non-destructive testing and application of multiple elements. The method does not require specific fixed devices, has low evaluation cost, larger identification scale and is basically not limited, and has higher evaluation efficiency; the field identification is closer to the natural lodging state of rice. The technology realizes effective connection from basic research to production practice through a standardized path, and solves the problems of low efficiency, high cost and insufficient precision of the traditional rice lodging resistance test method.

The application relates to the field of agricultural monitoring, and discloses a crop yield per unit risk real-time monitoring and early warning method based on natural-economic big data, which comprises the following steps: constructing a multi-dimensional monitoring and early warning index framework, collecting natural state data and economic signal data; performing space-time coordinate alignment and assimilation processing on the multi-source data, and unifying the data to daily and county-level scales; reversely calculating the actual crop phenological phase based on the daily effective accumulated temperature, and activating corresponding monitoring variables; for the activated variables, calculating the standardized deviation of the observation values relative to the dynamic baseline of the historical same-period phenological phase, identifying natural stress events and cost increase / revenue compression events, outputting composite stress signals through logical combination rules; and weighting and synthesizing a yield risk early warning index and releasing a graded early warning. The application does not depend on fixed thresholds, realizes coaxial coupling monitoring of nature and economy, has strong cross-regional self-adaptability, good early warning foresight, and the advantages of being capable of identifying composite risks.

The present application relates to the field of transcriptomics, and specifically discloses a method for identifying plant salt-tolerant germplasm resources by using multi-tissue transcriptome sequencing, comprising the following steps: S1, salt-tolerance evaluation and grade division: placing the plant germplasm to be tested under a suitable concentration of salt stress conditions for seedling culture, measuring its morphological indicators and physiological and biochemical indicators, calculating the salt-tolerance coefficients of each indicator, and using multivariate statistical analysis methods to comprehensively evaluate and grade the salt-tolerance of the germplasm; the present application first constructs a standardized salt-tolerance identification process from the laboratory to field application, uses gradient salt solution to simulate the natural stress environment, measures multi-dimensional indicators such as growth morphology, photosynthetic physiology and antioxidant system at the key growth stages, and uses statistical methods such as salt-tolerance coefficient, membership function and principal component analysis for comprehensive evaluation and grade division, thereby realizing systematic, rapid and accurate identification of the salt-tolerance of a large number of corn inbred lines.