48 results about "Nitrogen deficiency" patented technology

The invention discloses a regional scale crop nitrogen dynamic regulation and control method and device. The method comprises the following steps of obtaining multi-source data and constructing a space-time database; selecting a crop growth model, and calibrating and verifying the crop growth model based on the space-time database to obtain the crop growth model and generate a localized model parameter set; dividing a target area into space units, inputting soil data, meteorological data and a localized model parameter set of each space unit to a crop growth model, simulating crop growth processes of different nitrogen gradients, extracting optimal biomass and critical nitrogen concentration data point pairs of each space unit, and performing fitting to generate a spatialized pCNDC parameter map layer; inverting an actual biomass and nitrogen concentration spatial distribution map based on remote sensing data, calculating critical nitrogen concentration and nitrogen nutrition index of each spatial unit in combination with a pCNDC parameter map layer, and generating a spatial distribution map; when the nitrogen nutrition index is lower than a preset threshold value, the nitrogen deficiency amount is calculated, and a variable fertilization prescription map is generated.

The invention discloses a tobacco nitrogen deficiency risk prevention and control method, which comprises the following steps: S1, collecting and preprocessing multi-source data of a tobacco planting area, and constructing a data set; s2, constructing a support vector machine model, and setting a penalty coefficient and kernel function parameters; s3, introducing a grey wolf optimization algorithm, and carrying out global optimization on support vector machine model parameters; s4, performing nitrogen deficiency risk prediction on new data by using the optimized model; s5, calling a nitrogen application rule base to generate an intervention strategy according to the prediction result and the plot planting condition; s6, deploying the intervention strategy in the intelligent agricultural control system, and driving the fertilization device to execute intervention operation; and S7, collecting feedback data after fertilization, and performing incremental updating and optimization on the model. The method has the effect of realizing closed-loop management of accurate identification of the tobacco nitrogen deficiency risk, differential fertilization strategy generation and intelligent intervention control.

The invention relates to the field of agricultural data analysis, in particular to a straw returning effect analysis method combining soil nutrients and crop yield, and the method comprises the steps: collecting a multi-source feature data matrix for risk assessment; performing conjoint analysis on the crop yield data and the soil attribute data to obtain a static nitrogen deficiency risk amplification factor; performing difference analysis on the vegetation index data, the yield data and the cluster centroid to obtain a dynamic growth response asymmetric regulatory factor; carrying out fusion evaluation on the static nitrogen deficiency risk amplification factor and the dynamic growth response asymmetric regulation factor to obtain risk perception asymmetric distance measurement based on yield data; the clustering process of risk perception asymmetric distance measurement based on yield data is subjected to zoning optimization, and an optimal management zoning result for formulating a variable fertilization strategy is obtained, so that the nitrogen deficiency risk of crops in the seedling stage is reduced, and the nutrient utilization efficiency and the yield stability are improved.

The invention relates to the technical field of precision agriculture and grape cultivation, and discloses a vineyard fertilization method based on unmanned aerial vehicle multi-source remote sensing data, and the method comprises the steps: obtaining a canopy multi-spectral image and three-dimensional structure data through an unmanned aerial vehicle; carrying out image preprocessing and finely extracting a grape canopy region; fusing the extracted spectral vegetation index, texture features and three-dimensional structure features, and constructing a multi-source feature vector; constructing and optimizing a nitrogen nutrition inversion model through a machine learning algorithm by utilizing actually measured nitrogen nutrition parameters; generating a nitrogen content distribution diagram based on a model inversion result, calculating the nitrogen deficiency amount and the recommended dressing pure nitrogen amount of each space unit in combination with critical nitrogen concentration diagnosis and target yield, and converting the nitrogen deficiency amount and the recommended dressing pure nitrogen amount into the use amount of a foliage spraying working solution; and generating a variable fertilization prescription map, and converting the variable fertilization prescription map into a nozzle flow control instruction executable by the unmanned aerial vehicle to realize on-demand accurate variable fertilization. According to the invention, closed-loop management from nitrogen nutrition monitoring to variable rate fertilization is realized, and the nitrogen fertilizer utilization efficiency and the fertilization accuracy are improved.

The invention provides a gene for improving nitrogen utilization efficiency of wheat under a nitrogen deficiency condition and application thereof, and belongs to the technical field of biological agriculture. Normal nitrogen and nitrogen deficiency condition stress treatment of natural wheat varieties around the world is combined with whole genome association analysis and verification, and the gene erf related to the nitrogen deficiency tolerance character is obtained. The erf gene not only responds to wheat nitrogen deficiency condition stress and shows up-regulated expression, but also promotes growth and nitrogen accumulation of wheat under the nitrogen deficiency condition in a negative regulation mode, so that the nitrogen utilization efficiency of wheat is improved. The erf gene provided by the invention can effectively regulate and control growth and nitrogen utilization of wheat under nitrogen deficiency conditions, provides a new strategy for construction and breeding of wheat nitrogen deficiency tolerance varieties, and also provides effective sites for nitrogen deficiency wheat environment detection and variety identification.

The invention discloses application of an FYVE4 gene in improving nitrogen deficiency nutrition stress tolerance of plants. Belongs to the technical field of plant genetic engineering. The invention provides nucleotide and corresponding amino acid sequences and specific application thereof. The invention proves for the first time that the arabidopsis thaliana gene AtFYVE4 regulates the nitrogen deficiency stress response of the plant through an autophagy way. It is found that the arabidopsis thaliana nitrogen deficiency nutrition stress regulation related gene regulates the autophagy activity of arabidopsis thaliana through interaction with the autophagy protein AtATG1C, and then regulates the tolerance of plants to nitrogen deficiency nutrition stress. The application of the AtFYVE4 gene can provide support for drought resistance research of grain crops such as corn, rice, wheat and the like and other crops.

The invention provides a gene HD-Zip for judging nitrogen tolerance of wheat under a nitrogen deficiency condition and application of the gene HD-Zip, and belongs to the technical field of biological agriculture. The gene HD-Zip related to the nitrogen deficiency tolerance character is obtained through the combination of normal nitrogen and nitrogen deficiency condition stress treatment of natural wheat varieties around the world and whole genome association analysis and verification. The HD-Zip gene is in down-regulated expression in response to wheat nitrogen deficiency stress. The HD-Zip gene provided by the invention can be used for distinguishing wheat tolerance varieties and sensitive varieties under the nitrogen deficiency condition, screening wheat nitrogen deficiency tolerance varieties and evaluating the nitrogen content condition in soil for planting wheat.

The present invention relates to the use of a Raman spectral signature of nitrate, as a biomarker for an early, real-time diagnosis of nitrogen status in growing plants in a non-invasive or non-destructive way in order to detect nitrogen deficiency before the onset of any visible symptoms. The early, real-time diagnosis of nitrogen deficiency in plants makes it possible to correct nitrogen deficiency for the avoidance of negative effects on the yield and biomass of growing plants or leafy vegetables.

The application provides a gene for improving nitrogen utilization efficiency of wheat under nitrogen deficiency conditions and application thereof, and belongs to the technical field of biological agriculture. The gene erf related to the nitrogen deficiency tolerance trait is obtained through normal nitrogen and nitrogen deficiency stress treatment of natural wheat varieties in the world and whole genome association analysis and verification. The erf gene not only responds to the up-regulated expression under the nitrogen deficiency stress of wheat, but also promotes the growth and nitrogen accumulation of wheat under the nitrogen deficiency conditions through a negative adjustment mode, so as to improve the nitrogen utilization efficiency of wheat. The erf gene provided by the application can effectively regulate the growth and nitrogen utilization of wheat under the nitrogen deficiency conditions, provides a new strategy for the construction and breeding of wheat varieties with nitrogen deficiency tolerance, and provides an effective site for the detection and variety identification of the wheat environment under the nitrogen deficiency.

The application discloses a kind of passion fruit plant health monitoring methods using spectral analysis, the method is by simultaneously collecting the spectral data of the top of plant new leaf, middle functional leaf and fruit, it is compared with the standard health spectrum model of prestorage, based on the diagnosis of magnesium deficiency of top leaf 530nm reflection peak, the diagnosis of nitrogen deficiency of middle leaf red edge position blue shift, the diagnosis of water deficiency of middle leaf water index rise, specific waveband spectrum distortion early warning disease and fruit spectrum form evaluation quality, realize multi-index comprehensive diagnosis;The application realizes multi-index diagnosis of plant nitrogen, magnesium nutritional status, water stress, potential disease and fruit quality by simultaneously collecting and analyzing the reflection characteristics of the top of passion fruit plant new leaf, middle functional leaf and fruit in specific spectral band, so as to overcome the problem of the prior art relying on single vegetation index or chlorophyll measurement, which leads to the problem of partial diagnosis information.

The invention relates to the technical field of biology, in particular to an OsYABBY4 gene for regulating and controlling nitrogen deficiency stress resistance of rice and application of the OsYABBY4 gene. The nucleotide sequence of the OsYABBY4 gene is as shown in SEQ ID NO. 1, and the amino acid sequence of the protein coded by the OsYABBY4 gene is as shown in SEQ ID NO. 2. The OsYABBY4 gene is over-expressed in rice, so that the nitrogen deficiency stress resistance of the rice can be improved, the growth of the rice under the nitrogen deficiency stress condition is promoted, and the plant height and the grain weight of a single plant of the rice are increased. It is shown that the OsYABBY4 gene has the function of regulating the stress tolerance and yield-related traits of the plants, and a foundation is laid for improvement of the growth characteristics of the rice.

This invention provides a wheat Fd gene and its application in regulating nitrogen use efficiency in wheat under nitrogen deficiency conditions, belonging to the field of bio-agricultural technology. This invention screened 284 wheat varieties for nitrogen deficiency stress treatment to obtain the Fd gene associated with nitrogen deficiency tolerance. The Fd gene not only exhibits downregulated expression in response to nitrogen deficiency stress in wheat, but also promotes wheat growth and nitrogen accumulation under nitrogen deficiency conditions through negative adjustment, thereby improving wheat nitrogen use efficiency. The Fd gene provided by this invention can effectively regulate wheat growth and nitrogen use under nitrogen deficiency conditions, providing a new strategy for the construction and breeding of nitrogen-tolerant wheat varieties, and also providing an effective site for the detection and variety identification of nitrogen-deficient wheat environments.

The present application belongs to the field of microalgae biotechnology, microalgae culture regulation and high-value lipid bio-manufacturing, and specifically relates to a method for improving microalgae biomass and eicosapentaenoic acid (EPA) yield by regulating amino acids, which takes microalgae capable of synthesizing EPA as a culture object, adds exogenous amino acids or amino acid combinations to the culture system under non-stress culture conditions containing sufficient inorganic nitrogen source, regulates photosynthesis, growth metabolism and lipid synthesis process of the microalgae, and simultaneously improves microalgae biomass and EPA volumetric yield; by adding specific exogenous amino acids or amino acid combinations under the condition of sufficient nutrition culture, the present application realizes synchronous promotion of microalgae growth and EPA accumulation. Different from traditional methods of relying on stress such as nitrogen deficiency to induce lipid accumulation, the present application can improve microalgae biomass, photosynthetic performance, pigment yield and EPA volumetric yield without significantly inhibiting cell growth and photosynthetic activity.

The invention belongs to the technical field of agricultural planting, and provides an application method of a rice nitrogen fertilizer under a nitrogen loss condition. According to the method, nitrogen deficiency treatment in different tillering stages is set, constant and multiple nitrogen compensation tests are carried out in the subsequent growth stage, the influence of nitrogen deficiency on the rice yield is analyzed, the efficient nitrogen compensation threshold value of indica rice and japonica rice is determined, an important reference basis is provided for nitrogen fertilizer management in rice production, and the method is suitable for large-scale popularization and application. The nitrogen fertilizer utilization efficiency and the rice yield are favorably improved.

This invention provides a gene, HD-Zip, for determining nitrogen tolerance in wheat under nitrogen deficiency conditions and its application, belonging to the field of bio-agricultural technology. This invention, through genome-wide association analysis and validation using natural wheat varieties from around the world under normal and nitrogen deficiency stress conditions, identified the gene HD-Zip, associated with nitrogen deficiency tolerance. The HD-Zip gene shows downregulated expression in response to nitrogen deficiency stress in wheat. The HD-Zip gene provided by this invention can be used to distinguish between nitrogen-tolerant and nitrogen-sensitive wheat varieties, screen for nitrogen-tolerant wheat varieties, and assess nitrogen content in soils where wheat is grown.

The present invention belongs to a method for calculating the wilting degree of soybean canopy by using Fourier transform of multi-spectral images, and is realized through the following steps: acquiring soybean multi-spectral images, and performing denoising processing on the soybean reflection images; applying the iterative threshold method and the canopy extraction algorithm based on affine transformation to obtain the soybean canopy and conducting gray histogram statistical analysis on the canopy features of the soybean canopy; then performing Fourier transform on the soybean canopy, conducting spectral analysis on the canopy, extracting the direct current component in the spectrum of the multi-spectral image of the soybean canopy and calculating the proportion of the direct current component in the spectrum to obtain the wilting index of the soybean canopy, which can also be used to calculate the wilting degree caused by nutrient deficiencies such as nitrogen deficiency in soybeans or crop canopy wilting caused by saline-alkali stress, etc. The multi-spectral imaging technology has the advantages of low cost, convenient detection, high image resolution, etc. By obtaining the multi-spectral imaging information of crops, rapid non-destructive early detection of crop physiological and ecological information and canopy trait changes can be realized.

The invention relates to the technical field of agricultural data processing, in particular to a forest and fruit planting guidance information pushing method and system based on a mobile terminal, and the method comprises the following steps: calling the mobile terminal to collect a leaf image sequence, calculating a brightness variance value, screening an effective image, converting a color space, separating a brightness channel, and calculating a texture entropy value and a gray statistical feature. Veins and mesophyll regions are segmented and extracted, the average gray difference value and the change slope in the growth direction of the main veins are calculated, a feature vector is constructed, the Euclidean distance between the feature vector and a standard healthy plant is calculated, the feature vector is mapped to the nitrogen deficiency level, and fertilization guidance information is generated and pushed. According to the method, by guaranteeing the quality of the data source, accurately calculating the texture entropy and the gray features and quantitatively analyzing the color difference and the change trend, accurate mapping of the nitrogen deficiency level is achieved, agricultural management instantaneity is guaranteed, and rapid nondestructive diagnosis and refined guidance of the plant nutrition status are achieved.

The invention provides application of an OsXYLPI9 gene in the aspects of the ammonia absorption rate and grain growth and development of rice, the nucleotide sequence of the OsXYLP19 gene is shown as SEQIDNO.1, under the condition of compound stress of salt stress and nitrogen deficiency, the ammonia absorption rate of a mutant osxylp19 plant of the OsXYLP19 gene is higher than that of a wild plant, and the OsXYLPI9 gene can be applied to the growth and development of grains. Namely, the nitrogen absorption capacity of the rice under the combined conditions of salt stress and nitrogen deficiency is negatively regulated by the OsXYLPI9. Field experiments show that the grain length of the osxyp19 mutant is significantly increased, which indicates that the OsXYLP19 gene has the function of regulating and controlling the rice grain length and is expected to be used for improving the rice yield.

The invention relates to the technical field of microorganism culture, in particular to a culture method of autotrophic microorganisms for producing poly (beta-hydroxybutyrate). According to the method, carbon dioxide which is wide in source and low in obtaining cost is used as a carbon source for producing poly-beta-hydroxybutyrate (PHB), through a two-stage culture method of nitrogen sufficiency and nitrogen deficiency, firstly, hydrogen oxidizing bacteria (especially Rhodoblastus sp. TH20) are subjected to biomass enrichment, then intracellular biopolyester PHB accumulation is carried out, the obtained biopolyester has good biodegradability, and the biopolyester can be used for producing the poly-beta-hydroxybutyrate (PHB). The greenhouse gas emission reduction can be realized, the bioplastic product with high additional value can be produced, and the method has both ecological and economic benefits.

The application discloses a regional scale crop nitrogen dynamic regulation method and equipment, comprising the following steps: acquiring multi-source data and constructing a time-space database; selecting a crop growth model, calibrating and verifying the crop growth model based on the time-space database, obtaining the crop growth model and generating a localized model parameter set; dividing a target region into spatial units, inputting soil data, meteorological data and the localized model parameter set of each spatial unit into the crop growth model, simulating the crop growth process under different nitrogen gradients, extracting optimal biomass and critical nitrogen concentration data point pairs of each spatial unit, fitting and generating a spatialized pCNDC parameter layer; based on remote sensing data, inversing actual biomass and nitrogen concentration spatial distribution maps, combining the pCNDC parameter layer to calculate the critical nitrogen concentration and nitrogen nutrition index of each spatial unit and generate spatial distribution maps; when the nitrogen nutrition index is lower than a preset threshold, calculating nitrogen deficiency and generating a variable fertilization prescription map.

The invention belongs to the technical field of agricultural planting, and provides a method for simultaneously improving the rice yield and the nitrogen utilization rate based on nitrogen compensation, and the method comprises the steps of seed soaking, seedling raising, preparation before sowing, fertilization, transplanting and treatment. According to the method, nitrogen management is optimized, efficient utilization of nitrogen is achieved, nitrogen deficiency is compensated in a multiplied mode, the yield of rice is increased, the application amount of nitrogen fertilizer is reduced, and therefore the burden of agricultural production on the environment is reduced. The technical scheme is helpful for reducing pollution of the chemical fertilizer to soil and water, and accords with the direction of green development of agriculture in China. In addition, the nitrogen utilization efficiency is improved, and meanwhile, the disease resistance and adaptability of the rice are improved. By optimizing nitrogen management, the rice grows more healthily and can better resist the invasion of diseases and insect pests, the use of pesticides is reduced, the production cost is reduced, and the sustainability of agricultural production is improved.

The invention discloses a plant protection unmanned aerial vehicle real-time variable fertilization control system and a control method, and relates to the technical field of agricultural intelligence and precise fertilization, in particular to the technical field of fertilization based on a plant protection unmanned aerial vehicle. The problems that an unmanned aerial vehicle is poor in real-time performance, insufficient in automation degree and low in fertilizer utilization rate in the nitrogen diagnosis and fertilization control process of rice are solved. A crop canopy sensor fixed at the front end or the bottom of the plant protection unmanned aerial vehicle is adopted in the control system to collect spectrum or image data of rice canopies in the flight process; and processing the spectrum or image data to obtain a fertilization instruction for controlling the variable fertilization execution device to carry out partitioned variable fertilization. According to the control mode disclosed by the invention, data is acquired based on crop canopy sensing, and real-time nitrogen deficiency judgment is matched, so that the control of partitioned variable-rate fertilization is realized, the nitrogen fertilizer utilization efficiency is effectively improved, the fertilizer waste is reduced, and the resource utilization rate is improved. The method is suitable for the field of agricultural machinery equipment control and crop nutrition monitoring application.

The present application relates to the technical field of agricultural data processing, in particular to a kind of forest planting guidance information pushing method and system based on mobile terminal, comprising the following steps: calling mobile terminal to collect leaf image sequence, calculating luminance variance value to filter effective image, converting color space to separate brightness channel, calculating texture entropy value and gray statistical characteristics, segmenting and extracting vein and mesophyll region, calculating average gray difference value and the change slope along the growth direction of main vein, construct feature vector and calculate the Euclidean distance with standard healthy plant, mapping to nitrogen deficiency grade to generate fertilization guidance information and push.The present application, by guaranteeing data source quality, accurately calculating texture entropy value and gray characteristics, quantitative analysis of color difference and trend, realize the accurate mapping of nitrogen deficiency grade, ensure the instantaneity of agricultural management, realize the rapid nondestructive diagnosis and refinement guidance of plant nutrition status.

The invention discloses an OsSCL7 gene and application thereof in improving nitrogen utilization efficiency of rice, and belongs to the technical field of plant genetic engineering, and a nucleotide sequence of the OsSCL7 gene is shown as SEQ ID No: 1. With rice ZH11 as the background, it is found that rice with the OsSCL7 gene overexpressed is higher than wild type rice ZH11 in plant height under the nitrogen deficiency condition, and meanwhile the ammoniacal nitrogen content, the nitrate nitrogen content, the nitrate reductase enzyme activity and the glutamine synthetase enzyme activity are all remarkably higher than those of the wild type rice ZH11. Therefore, the OsSCL7 gene can participate in regulation and control of nitrogen utilization of rice, is of great significance to nitrogen fertilizer application reduction, rice agricultural production cost reduction and agricultural sustainable development, and provides an important gene resource for cultivation of rice varieties with nitrogen deficiency stress resistance.

This invention relates to the field of microbiology, and more particularly to Bacillus, microbial agents, and their applications. This invention provides a Bacillus sp. strain with accession number CGMCC No. 36427. This invention provides a high-yield cellulase strain of Bacillus sp. and a method for rapid straw decomposition and return to the field compatible with field operations. By directionally enhancing the degradation efficiency of cellulose / hemicellulose through Bacillus sp., and combining nitrogen supplementation and water management, this method shortens the decomposition cycle while reducing the risk of nitrogen deficiency and seedling burn during return to the field, thereby improving crop emergence and root growth.

The invention relates to an intelligent nutrient and moisture regulation and control method for mango planting, and belongs to the technical field of agricultural planting. In order to solve the problems that in the prior art, the utilization rate of fertilization and irrigation is low, leaf nutrient and moisture monitoring depends on subjective experience, timeliness is poor, and water and fertilizer resources are wasted, the method includes the steps that a fertilization area is located on the inner side of an irrigation area, a high-position camera is adopted to vertically shoot leaves, a green channel mean value is extracted based on HSV color segmentation, and the green channel mean value is compared with a threshold value to judge nitrogen deficiency; the leaf thickness is calculated by combining Canny edge detection and compared with a threshold value, water shortage is judged, an atomizer is triggered to spray a 0.5-3% urea solution 20-30 ml / m < 2 > leaf, or a drip irrigation pipeline is started to irrigate a rhizosphere area 10-15 ml / m < 2 > for 30-45 min. The method realizes water and fertilizer coordinated regulation of mango planting, and is mainly used for improving the nutrient and water utilization efficiency and the management automation level of a mango garden.

The utility model belongs to the technical field of electrical automation control, and particularly relates to an electrical control system of a modular membrane separation nitrogen drying machine, which comprises a remote controller, the remote controller is associated with a material level detector, the material level detector is associated with a heater protection switch, and the heater protection switch is connected with the remote controller. The heater protection switch is connected with the nitrogen concentration instrument detection device, the nitrogen concentration instrument detection device is connected with the temperature detection device, and the remote control device is connected with the forming machine supply detection device through the main control board. The nitrogen concentration meter is provided with the LED alarm lamp and the buzzer, the nitrogen concentration meter can display corresponding data and output alarm signals once the nitrogen is insufficient, alarm information is sent out through the LED alarm lamp, operation of the modular membrane separation nitrogen drying machine is maintained in time, and therefore the drying quality of raw materials is guaranteed.

The invention belongs to the technical field of gene engineering, and particularly relates to application of PagGT43B protein in regulating aspen to adapt to nitrogen deficiency. The amino acid sequence of the PagGT43B protein is as shown in SEQ ID NO. 1, and the nucleotide sequence of the coding gene of the PagGT43B protein is as shown in SEQ ID NO. 2. Tests prove that under the low-nitrogen condition, overexpression of the PagGT43B gene can promote biosynthesis of xylan and increase the thickness of fiber cell walls, so that the adaptability of the poplar to the low-nitrogen environment is improved.

本申请公开了一种基于低空多模态数据的水稻水氮亏缺分离诊断方法及装置，涉及智慧农业监测与农业遥感技术领域，该方法：获取待测区水稻生长参数、冠层多模态数据和环境参数；预处理冠层多模态数据，得到植被指数与作物水分胁迫指数；用C‑Vine Copula函数约束多维生理参数联合分布，耦合ORYZA V3与SCOPE模型构建仿真基准数据集；计算水分胁迫后验概率；超阈值则以水分胁迫为协变量剔除其对光谱干扰，再算氮素胁迫后验概率，未超阈值则直接基于植被指数计算；依据两类后验概率判定胁迫等级；再反演土壤含水率与氮营养指数，结合生育期适宜指标计算出水分、氮素亏缺量。可实现精准、少田间破坏性采样的水氮亏缺分离诊断。

The application belongs to the technical field of genetic engineering, and particularly relates to application of a PagMYB057 protein in regulating nitrogen deficiency adaptation of poplar. The amino acid sequence of the PagMYB057 protein is shown as SEQ ID NO. 1, and the nucleotide sequence of the coding gene is shown as SEQ ID NO. 2. The application proves through experiments that under low nitrogen conditions, PagMYB057 Gene overexpression can promote xylan biosynthesis, increase fiber cell wall thickness, and thus improve the adaptability of silver gland poplar to a low nitrogen environment.