9 results about "Moisture index" patented technology

This invention discloses a method for dynamic monitoring and inversion of vegetation moisture based on the GNSS reflection geometric response index, belonging to the field of GNSS remote sensing inversion and surface ecological parameter monitoring technology. This invention solves the problems of existing GNSS-R vegetation moisture indices, such as reliance on empirical normalization, sensitivity to observation geometry, and difficulty in long-term stable comparative analysis. This invention utilizes direct sunlight and surface reflection signals observed by a ground-based GNSS receiver during continuous observation. Based on the response characteristics of the reflection signals to changes in satellite geometry, a vegetation reflection geometric response index is established to characterize the changing features of vegetation moisture status. This invention uses the establishment of a reflection response function and the extraction of geometric sensitivity parameters and stable historical reference states to quantitatively characterize vegetation moisture changes. This reduces the impact of noise interference or abnormal observations, eliminates the need for inversion using external remote sensing products or ground-based measured data, and is suitable for long-term continuous vegetation moisture monitoring in various climatic zones and vegetation types.

The embodiment of the invention provides a camellia oleifera grafting quality assessment method and system, and relates to the technical field of camellia oleifera grafting quality assessment, and the method comprises the steps: collecting a hyperspectral spectrum of a graft union region under a preset wave band, and obtaining the hyperspectral spectrum of the graft union region; obtaining a moisture index of the graft union area according to the hyperspectral spectrum of the graft union area; preset temperature stimulation is applied to the graft union area, and a physiological response infrared image sequence of the graft union area after temperature stimulation is obtained; calculating the temperature recovery rate of the graft union area according to the infrared image sequence; evaluating the temperature distribution uniformity according to the infrared image sequence; and judging the healing quality of the graft union according to the moisture index, the temperature recovery rate or the temperature distribution uniformity. The survival rate and the subsequent growth quality of the camellia oleifera grafted seedlings can be improved.

The moisture control method for air flow drying process comprises the following steps: comparing the reference moisture of the product with the real-time moisture of the material to obtain a first error, wherein the reference moisture is the moisture index of the product; obtaining a temperature fine-tuning value according to the first error; predicting a compensation temperature according to the real-time detected inlet air temperature and outlet air temperature and the real-time moisture of the material, wherein the compensation temperature is the theoretical outlet air temperature predicted in advance based on the real-time working condition; superimposing the temperature fine-tuning value and the compensation temperature to obtain a reference temperature; adjusting the rotating speed of the feeding mechanism for feeding to adjust the real-time moisture according to the reference temperature; and repeating the above five steps. The control method can overcome the time lag existing in the air flow drying process and improve the precision of moisture control. A control system for executing the control method is also provided.

This invention relates to the field of data analysis technology, specifically a corn canopy moisture sensing system and method based on a drone sensor network. The method includes: obtaining a specific reflectance image of the corn canopy; calculating an adaptive moisture index and outputting a corn canopy moisture content heatmap; calculating the barrier effect coefficient and corn transpiration source term, marking water vapor channel blockage hotspots on a three-dimensional cornfield structural model, delineating the locations of outer barrier zones and internal retention zones, estimating corn growth potential, and distinguishing between high-potential and risk zones; performing thinning priority scoring, formulating a dynamic thinning strategy based on the thinning priority score, and outputting the thinning coordinates of the cornfield. This invention solves the problem in the prior art where the simplified water vapor flux model ignores the three-dimensional barrier effect, leading to inaccurate analysis of water retention zones.

The present application relates to pesticide residue hyperspectral screening method of crop, utilize preset pesticide action mechanism coding table to the pesticide type to be measured is carried out identification, according to the identification result judges whether pesticide produces enzyme class response or structural change in crop surface layer or tissue layer;When determining that there is structural change, start hyperspectral feature extraction process;In the extracted hyperspectral image, analyze local spectral disturbance mode, and determine the asymmetric disturbance region according to the distribution of disturbance signal in the key physiological wave band of vegetation;Metabolic abnormality positioning is carried out on the asymmetric disturbance region by using nonlinear brightness parameter, water index parameter and pigment abnormality parameter;The present application realizes the structured modeling of pesticide type, action site and physiological response by constructing pesticide action mechanism coding table, which opens the data correlation channel between pesticide chemical characteristics and crop tissue response from the source.

The utility model belongs to the technical field of coal quality analyzers, and discloses a three-part coal quality industrial analyzer, which comprises a volatile component part, an ash component part and a water component part, the volatile component part comprises a volatile component heating furnace, a volatile component rotary table body, a volatile component sample feeding mechanism and a volatile component crucible, the volatile component rotary table body is horizontally arranged below the volatile component heating furnace, and the volatile component sample feeding mechanism is located below the volatile component rotary table body; the ash content part comprises an ash content heating furnace body, an ash content rotary table and an ash content crucible, and the ash content rotary table is horizontally arranged below the ash content heating furnace body; the volatile component part, the ash component part and the moisture component part are respectively used for testing volatile component, ash and moisture indexes of the coal sample. The coal quality index parallel test is realized by adopting the three-part independent design, the analysis efficiency and precision are improved, and the coal quality index parallel test device is particularly suitable for rapid detection of large-batch coal samples.

The application discloses a kind of remote sensing moisture index construction methods of joint ground surface temperature and short-wave infrared information, the method includes the following steps: step 1, research area satellite remote sensing data collection;Step 2, research area meteorological radiation data collection and spatial interpolation;Step 3, remote sensing inversion of ground surface biophysical parameter;Step 4, ground surface net radiation and soil heat flux calculation;Step 5, remote sensing moisture index construction of joint ground surface temperature and short-wave infrared information;Step 6, remote sensing moisture index space-time reconstruction.The application constructs a kind of remote sensing moisture index of joint ground surface temperature and short-wave infrared information, improves the key deficiency that traditional moisture index based on ground surface temperature information is greatly influenced by albedo, optimizes the oversaturation effect of moisture index based on short-wave infrared information in high vegetation cover area, can make full use of satellite thermal infrared and short-wave infrared observation information, realizes the moisture index calculation of large range, no data area, complex non-uniform underlying surface.

The application discloses a regional 30-meter resolution evapotranspiration estimation method cooperating with multi-satellite shortwave infrared observation, comprising the following steps: 1, obtaining meteorological radiation data of a research region and spatializing the data to form evapotranspiration model driving data; 2, obtaining satellite remote sensing data of the research region; 3, 1.24-micron shortwave infrared band reconstruction; 4, shortwave infrared moisture index calculation and remote sensing vegetation index time series reconstruction; 5, evapotranspiration estimation model construction; 6, construction of a relative evaporation ratio parameter model based on remote sensing shortwave infrared; 7, model parameter calibration; 8, verification and evaluation of regional evapotranspiration; the method of the application supports the demand of application fields such as regional water resource management, agricultural water use efficiency evaluation, regional drought monitoring and agricultural water saving, provides a train of thought for estimation of regional evapotranspiration, and the estimated evapotranspiration data product can provide key support for regional water and drought disaster monitoring and agricultural water management.

This application relates to the field of landscape maintenance technology, specifically to an intelligent adjustment system for landscape maintenance spraying; it addresses the technical problem that existing landscape spraying systems struggle to balance aesthetic appeal with ground drying requirements under complex operating conditions. The system includes: a data acquisition unit that collects pipeline pressure data from the pump station outlet and environmental meteorological data from the spraying area; a risk calculation unit that calculates particle size risk factors and accumulation risk factors based on the pipeline pressure data and environmental meteorological data, and synthesizes these factors into a ground moisture index; and a control unit that, when the ground moisture index reaches a first threshold, increases the pump's operating frequency to increase pipeline pressure and reduces the solenoid valve's duty cycle to decrease spray flow.