151 results about "Water stress" patented technology

The invention discloses a device for testing the mechanical properties of a pile-soil contact surface. The device is composed of a sealed pressure chamber, a hollow cylindrical soil sample, a solid cylindrical concrete pile sample and the like. The pile sample is prefabricated, and its diameter is equal to the internal diameter of the hollow cylindrical soil sample, and the two samples joint together closely. The lower end of the concrete pile sample is disposed on a pedestal through a spring assembly, and the upper end is connected to a stress loading system through a dowel bar, which is provided with a stress sensor and a displacement sensor I. The outside of the concrete pile sample is the hollow cylindrical soil sample. Filter paper and permeable stones are disposed at the lower end of the soil sample, and the lower end is positioned on the pedestal, while the upper end of the soil sample is provided with filter paper, permeable stones, a top cover and a displacement sensor II in order. During test, a confining pressure is exerted first for consolidating, and then a static (dynamic) load is exerted on the pile sample for measuring the axial deformation, pore water stress and the like of the pile and the soil. The device provided in the invention has a simple structure, is easy to realize, and can be used to measure the mechanical properties of a pile-soil contact surface under the action of a static (dynamic) load.

The invention discloses a method for remote sensing estimation of net primary productivity of plants. The method comprises the steps of performing data pre-processing on remote sensing data; extracting LAI data of an MODIS product in the remote sensing data, and calculating an FPAR; calculating astronomical radiation total Q0 according to geographical location information of a research area including longitude and latitude and date; extracting an empirical coefficient according to conventional global radiation and sunshine percentage data of the research area; using Q0 and the empirical coefficient to calculate solar total radiation quantity SOL; calculating photosynthetically active radiation (APAR) according to the FPAR and the SOL; extracting soil water content and an empirical parameter in the remote sensing data, calculating current leaf water potential, and calculating water stress factor in combination with the previous empirical coefficient; extracting temperature data in the research area in meteorological data, calculating temperature stress factor f1(Ta); calculating solar energy utilization rate epsilon according to f1(Ta), and the maximum solar energy utilization rate; and calculating net primary productivity (NPP) according to the APAR and epsilon. The method has the advantages of being high in estimation precision.

An information processing apparatus includes an obtainment unit configured to obtain spectroscopic information generated from image information of a plant captured by an imaging unit; and a generation unit configured to generate a control signal for controlling a degree of water stress of the plant, based on the obtained spectroscopic information.

The invention discloses a multi-sensor technology-based grape water stress diagnosis method and a system therefor. The multi-sensor technology-based grape water stress diagnosis method comprises the following steps of 1, acquiring a canopy coverage rate value, a canopy temperature characteristic value and a canopy photosynthetically active radiation value of a grape sample for modeling, 2, building a detection model by the canopy coverage rate value, the canopy temperature characteristic value and the canopy photosynthetically active radiation value as input variables, and a canopy water stress level as an output variable, and 3, by the step 1, acquiring a canopy coverage rate value, a canopy temperature characteristic value and a canopy photosynthetically active radiation value of a grape sample needing to be detected, and substituting the acquired canopy coverage rate value, the canopy temperature characteristic value and the canopy photosynthetically active radiation value into the detection model, and calculating a canopy water stress level of the detected grape sample. Through utilization of the multispectral imaging technology, the thermal infrared imaging technology and the multiple informative data fusion technology, the multi-sensor technology-based grape water stress diagnosis method realizes fast, early-stage and real-time detection of a grape water stress level and improves a detection precision.

The invention provides a method for increasing the fragrance of black tea through abiotic stress. According to the method, tea leaves are under the condition of abiotic stress, hydrolysis of glucosidetype substances is furthest promoted, and further more floral type flavor components are formed, so that the black tea containing more floral type flavor components is made. The method has the advantages that high-glucoside-content tea tree fresh leaves are used as raw materials, through processing technologies of water stress conditions, damage stress and the like, abiotic stress conditions of water content, damage degree, oxidation degree and the like, of tea leaf processing links are accurately controlled, and the glucoside type substances are furthest degraded, so that more flower flavorsubstances are generated, and the made product has natural flower and fruit flavor characteristics. According to the method disclosed by the invention, additives of essence, spice and the like are notadded, and the consumption trend of safe and healthy black tea can be met.

The invention provides a plant water stressed state automatic monitoring method and a plant water stressed state automatic monitoring system. The plant water stressed state automatic monitoring method includes the following steps that: the infrared image and visible light image of plants and soil moisture content information of the corresponding plants are obtained; image fusion information is obtained according to the infrared image and the visible light image; the water stressed state information of the plants is obtained according to the image fusion information and the soil moisture content information; and corresponding instruction information is emitted according to the water stressed state information of the plants, so that a water replenishment device can be made to enter a corresponding working state. According to the plant water stressed state automatic monitoring method and the plant water stressed state automatic monitoring system of the invention, the infrared image and the visible light image are obtained through an infrared camera and a visible light camera; the temperature information of a plant area is obtained; corresponding measures are taken according to the temperature information; and therefore, problems in on-line automatic fusion of an infrared image and a visible light image and automatic identification of a plant area on the infrared image can be solved, a plant canopy temperature region can be obtained, irrigation time of the plants can be accurately judged, and the plants can be prevented from being damaged.

The invention belongs to the field of agricultural remote sensing, and relates to a regional crop maturing stage prediction method based on accumulated temperature, radiation and soil water content. The specific steps of the method include: S1, synthesizing MODIS NDVI data of a to-be-predicted crop at a whole growing stage according to a time sequence, and extracting a planting region by employinga random forest algorithm; S2, constructing an accumulated temperature and radiation model from a heading stage to a maturing stage in a full irrigation condition; S3, constructing a Thiessen polygonby regarding agricultural weather stations as nodes; S4, calibrating a SWAP model of the to-be-predicted crop of a research region; S5, establishing a maturing stage correction factor lookup table ofthe soil water content at the whole growing stage and a maturing date of the to-be-predicted crop in a water stress condition; and S6, dynamically adjusting maturing stage model results of accumulated temperature and radiation grid unit by grid unit, and obtaining an optimal maturing stage prediction result of the to-be-predicted crop. According to the method, advantages of a statistical model and a mechanism model are combined, the maturing stage of the crop can be predicted in a large-region scale, and the prediction precision of the maturing stage of the crop is improved.

The invention belongs to the technical field of breeding of paeonia suffruticosa Andr and particularly relates to a breeding method for improving drought resistance of paeonia suffruticosa Andr. The method comprises the following steps: selecting a paeonia suffruticosa Andr variety with excellent characters as a female parent, selecting a paeonia suffruticosa Andr variety with stable yield as a male parent, hybridizing and harvesting hybrid first-generation seeds F1; planting the F1 and carrying out mixed harvesting to obtain hybrid second-generation seeds F2; back crossing F2 single plant with female parent to obtain backcross first-generation seeds BC1; back crossing the BC1 single plant with the female parent to obtain backcross second-generation seeds BC2; finally, planting the backcross second-generation seeds BC2, selfing for 3 to 4 generations and selecting the best strains as novel varieties of the paeonia suffruticosa Andr. During the treatment, water stress treatment is carried out by using a stress agent, and the germination of drought intolerant seeds can be stifled in the cradle, so that false positive drought-resistant seeds are reduced, the total sample quantity of subsequent hybridization steps is reduced, the workload is reduced and the breeding efficiency is improved.

The invention provides a peanut culturing device. The peanut culturing device is provided with a hollow water-proof main body; the main body comprises a first main body and a second main body which are symmetric to each other along a central axis of the main body; a gap filled with glass cement is formed between the first main body and the second main body; a sealing film is arranged at one end of the main body; and the exterior of the sealing film is bound by using a fixing rope so as to seal the end part of the main body. The invention further provides a peanut culturing system; the system is provided with a culturing pool with an awning above; and the peanut culturing device is placed in the culturing pool. The invention further provides a method for authenticating root morphological characteristics of drought resistant peanut varieties on the basis of the peanut culturing device. According to the invention, quantitative indexes, which are changed with development progress under slight water stress, of roots of the different drought resistant peanut varieties can be accurately detected; the root morphological characteristics of the drought resistant peanut varieties are authenticated through comparing the root morphological characteristics of the different drought resistant peanut varieties; moreover, the whole peanut culturing device and system are simply structured, the detecting method is simple and convenient in operation, and accurate and reliable results are obtained.

The invention relates to the technical field of agricultural environment measurement, in particular to a greenhouse plant leaf air saturation vapor pressure deficit measuring device and measuring method. The greenhouse plant leaf air saturation vapor pressure deficit measuring device comprises a leaf blade upper surface measuring unit and a leaf blade lower surface measuring unit which are in vertical arrangement through a suction component or a clamping component, wherein the temperature of the leaf blade upper and lower surfaces is measured through a contact type temperature sensor and of the leaf blade upper surface measuring unit and a second temperature sensor of the leaf blade lower surface measuring unit, the temperature of leaf blades is synthetically reflected, the accuracy is high, meanwhile, the temperature and the humidity of air near the leaf blades are accurately measured through an air temperature and humidity sensor, the leaf air saturation vapor pressure deficit is accurately obtained through the calculation of a first microprocessor, the measuring precision is high, and reliable data support is provided for greenhouse environment regulation and control, disease prevention and water stress.

The invention discloses a method for optimizing the seedling emergence and growth condition at early stage of root tuber and tuber propagating materials. Water stress is carried out to parted seed pieces by using a method of natural dehydrations and then grown according to a conventional method. Ideal technical effect can be achieved if the proportion of moisture loss is controlled within the scope of 14.82 percent to 46.44 percent. The method of the invention solves the bias of the prior art, has dual-directional regulation effect, and is capable of promoting the germination rate of the seed pieces which still do not sprout and have short sprouts without producing much influence on seed pieces which have long sprouts, thereby obviously improving the uniformity and growth condition in later stages of emergent seedlings. The method has simple operation and has the advantages of being simple, economical and practical, and requires no extra economic investment.

The invention discloses an intelligent irrigation system and a control method thereof. The intelligent irrigation system comprises a controller, a meteorological data acquisition module, an environmental information sensor and a water irrigation module, wherein the meteorological data acquisition module, the environmental information sensor and the controller are in data connection, the controllersets water-stress duration according to current environmental information detected in real time and current meteorological data, and according to the water-stress duration, turning on or off of the water irrigation module is controlled to achieve intelligent irrigation. The controller adopts a Raspberry Pi embedded computer, the soil temperature and humidity detected in real time, rainfall rate and the water-stress duration are taken as input information. The information is input into an adaptive expert decision module, and opening and closing states of a solenoid valve are controlled to achieve intelligent irrigation. A user further can utilize a remote terminal to detect the real-time temperature and humidity of soil through a cloud platform and control the irrigation module, the reliability and instantaneity are very high, and the convenience and accuracy of irrigation are effectively improved, and the production cost is reduced.

Plant canopy images and temperature are acquired with a wireless computer vision instrument, and the temperature data are qualified and pixels within the image are classified. The instrument includes sensors for measuring plant radiation due to canopy temperature and an imaging sensor which collects data over four bands, a microprocessor to receive and store and process measured data from the sensors, and a wireless transmitter for transmitting data from the microprocessor to a remote receiver. The data are used to detect plant stress and canopy cover percentage and to qualify temperature data accordingly. The data from the sensors provide information for decision support algorithms related to the initiation of automatic irrigation scheduling as a function of crop canopy cover and water stress, the qualification of temperature data used in automatic irrigation scheduling algorithms, and the detection of diseased crops for the purpose of withholding irrigations when yield potential is compromised.

The invention relates to a substrate salt content automatically adjusting soilless vegetable planting method. The method comprises collecting substrate water content data at a fixed time interval; determining whether substrate water content is lower than a water stress critical value, if so, performing irrigation through nutrient solution; estimating substrate salt content; determining whether the substrate salt content is higher than a salt damage critical value, if so, performing rinsing through the nutrient solution; repeating the above steps until the growing period ends. Meanwhile, the invention provides a substrate salt content automatically adjusting soilless vegetable planting system applying the method. The substrate salt content automatically adjusting soilless vegetable planting method and system achieves automatic adjustment of soilless planting substrate salt content, saves human resource costs and fund costs, ensures fine water and fertilizer supply of soilless planted crops, avoids salt damage to the crops, and meanwhile, reduces waste of the nutrient solution, maximizes the utilization rate of the nutrient solution and provides technical guarantee for high-quality and high-efficiency yield of the soilless planted crops.

A system and method for efficiently delivering an aqueous solution to plants includes a microporous hydrophobic tubing coated with a hydrophilic polymer that has a distal portion positionable adjacent a root system of a plant and a lumen for channeling an aqueous solution from an inlet to the distal portion. The tubing along the distal portion has a porosity adapted for permitting a flow of the aqueous solution therethrough when acted upon by a surfactant root exudate generated by the roots due to water stress. A reservoir is adapted for holding the aqueous solution therein and is situated in fluid communication with the hydrophilic device's inlet. Additional tubing can be provided for channeling a nutrient solution to the plant roots.

The invention relates to a condition irrigation system that detects by water stress acoustic emission characteristics of crops, which is mainly characterized in that an acoustic emission sensor is arranged on the main diameter of the crop plant on an electronic balance; the acoustic emission sensor is successively connected with a signal conditioner, a PCI data acquisition card and a computer system; the electronic balance is connected with a computer by a PCI control bus, and the condition irrigation system of crop is automatically controlled by the computer. The invention has the advantages that intelligent condition precision sprinkling irrigation and drip irrigation are implemented according to the woe signals and the transpiration changing signals emitted by the crop experiencing water stress; meanwhile according to various soil moisture needed by the crop in different growth periods, the water supply efficiency and the water supply time of the crop is determined and properly adjusted by a computer software; appropriate soil moisture for the growth of crop is guaranteed, and the objective of water saving is achieved; thus the growth of crop under best soil water condition is effectively ensured.