19 results about "Aboveground biomass" patented technology

The soybean aboveground biomass dynamic across growth period estimation method, system and program product relate to the crop yield technical field, fill the existing technology in the problem of combining research soybean AGB based on UAV remote sensing and machine learning relative blank. Through the unmanned aerial vehicle to soybean multiple growth stage data collection, and based on soybean growth stage data, respectively generate multispectral orthophoto and digital surface model; based on multispectral orthophoto and digital surface model, respectively extract the crown structure features, image texture features and multiple vegetation indexes related to aboveground biomass of crops; after improving the stacking model, using multiple data of soybean, crown structure features, image texture features and multiple vegetation indexes related to aboveground biomass of crops to train the improved stacking model, obtain the trained stacking model; based on the trained stacking model, complete the soybean aboveground biomass growth period estimation.

The present application relates to the field of agricultural ecological environment management and carbon sink monitoring technology, and more particularly to a tea tree lossless tea garden carbon fixation and sink increase method, comprising: pyrolyzing agricultural waste to obtain biochar and making the biochar into a specific standard biochar-based fertilizer; determining tea garden soil organic matter, cation exchange capacity and soil bulk density, calculating soil quality comprehensive coefficient by using improved Nemerow comprehensive index method and dividing soil quality grades according to the soil quality comprehensive coefficient; applying the biochar-based fertilizer in a differentiated application amount according to the soil quality grades; determining tea tree aboveground biomass after fertilization and calculating tea tree carbon storage according to a corresponding carbon storage model selected according to the age of the tea tree; simultaneously determining soil parameters to calculate tea garden soil carbon storage; and finally taking the tea tree carbon storage and the soil carbon storage as the total carbon sink of the tea garden. The present application realizes systematic, accurate and lossless monitoring of tea garden carbon fixation and sink increase technology.

The present application provides a kind of grassland aboveground biomass physical inversion method and system, belong to ecological monitoring technical field, comprising: according to look-up table and the correction remote sensing image of measurement area, determine the actual vegetation parameter of each measurement point in measurement area;Look-up table includes multiple preset vegetation parameters and the preset vegetation spectral characteristics corresponding thereto;According to each actual vegetation parameter and the aboveground biomass measured value of corresponding measurement point, construct cost function, under the preset iteration termination condition, iteration solving grassland type corresponding optimization stem leaf ratio;According to optimization stem leaf ratio and each actual vegetation parameter, obtain the aboveground biomass optimization value of each measurement point;According to the aboveground biomass optimization value of all measurement points and the grassland type distribution diagram of all measurement area, generate the aboveground biomass distribution diagram of overall area.The present application is through look-up table and iteratively optimizes grassland type stem leaf ratio to realize the accuracy of improving the spatial distribution of overall area aboveground biomass by inverting measurement point vegetation parameter.

The application belongs to the technical field of plant molecular breeding, and provides a corn ZmAAP37 Gene in regulating corn agronomic traits and grain nitrogen accumulation, the application includes at least one of the following: (1) increase the nitrogen content of corn kernel; (2) increase the free amino acid content of corn kernel; (3) improve the aboveground biomass of corn plant; (4) increase the plant height of corn plant; (5) delay the leaf senescence of corn plant; (6) improve the nitrogen utilization rate of corn. The application shows that, ZmAAP37 By increasing the transport of amino acids in leaves to phloem, the nitrogen remobilization is promoted, and finally the grain nitrogen concentration is significantly increased without affecting the grain yield. The application provides ZmAAP37 The gene can provide new gene resources for nitrogen utilization of crops, especially corn, and has great application value in regulating nitrogen utilization of crops.

The present application relates to the technical field of vegetation aboveground biomass prediction, in particular to a vegetation aboveground biomass prediction method based on multi-scale adaptive topology and cross-modal iterative interaction, aiming at solving the problem that remote sensing images and structured sample plot data are only simply spliced and insufficiently fused, resulting in insufficient prediction accuracy and generalization ability, the present application first collects multispectral remote sensing images and spatially registered sample plot attribute data of a target area, completes radiation correction, data enhancement and other preprocessing; adopts visual Transformer to extract image global semantic features, constructs an adaptive topology adjacency matrix for table data, obtains fine-grained features through a graph neural network, generates multi-scale graph representations through grouping and global aggregation, realizes double-modal multi-round iterative deep interaction through cross-attention, fuses and extracts global features for splicing, inputs a multi-regression head for parallel prediction, and outputs the final result through adaptive integration and prior knowledge calibration, thereby improving prediction accuracy and generalization.

The application discloses a temperate meadow steppe pasture grassland soil and vegetation synergic improvement method and application, and belongs to the technical field of grassland ecological restoration and degraded grassland improvement, and the method comprises the following steps: S1, pre-cutting roots to form narrow cracks; S2, forming an ice wedge, using winter natural cooling to make deep unfrozen water migrate to the cracks and expand by freezing, and the crack width is expanded; S3, hot melting and seeding, sowing the pasture grass seeds in the ice wedge cracks and applying a water-retaining agent when the surface soil is thawed in the next year; S4, spring root cutting, performing the root cutting operation when the soil layer thawing depth reaches 10-15 cm; and S5, applying a composite mixed fertilizer. Experiments show that the method can significantly improve the pasture grass community coverage, height and aboveground biomass, and simultaneously improve the contents of soil nutrient components, organic carbon and the like, and is suitable for the pasture grassland with the pasture grass as a dominant species, and has good ecological and economic benefits.

This invention relates to the field of plant disease control technology, and in particular to the application of dihydroxyacetone (DHA) in the control of root rot and / or the promotion of plant growth. This invention found that DHA can effectively antagonize the growth of the pathogen *Fusarium graminearum*, with an inhibition rate of 36.14%–48.65%. In soil culture experiments, at 7 days, both high concentrations (1M) and low concentrations (5mM) of DHA showed good control effects on maize root rot, with disease control efficacy reaching 14.17% and 27.08%, respectively. Simultaneously, both showed good growth-promoting effects; low concentrations of DHA increased the aboveground biomass of maize by 65.30% compared to diseased plants. At 14 days, the control efficacy of high concentrations (1M) and low concentrations (5mM) of DHA against maize root rot was 15.24% and 33.05%, respectively, and low concentrations of DHA increased the aboveground biomass of maize by 135.32% compared to diseased plants.

The application discloses a dandelion tillering number regulation gene DgZIP9, a recombinant expression vector and application thereof, and belongs to the technical field of molecular biology. The nucleotide sequence of the DgZIP9 gene is shown as SEQ ID NO:1, and the amino acid sequence coded by the DgZIP9 gene is shown as SEQ ID NO:2. The gene is highly expressed in dandelion stems. A recombinant overexpression vector pCAMBIA1300-CaMV35S-DgZIP9 is constructed, and a transgenic positive strain is obtained through mediation of agrobacterium EHA105. Function verification shows that overexpression of the DgZIP9 can make the dandelion tillering number increase by 69%-124%, and the aboveground biomass is obviously increased, proving that the gene can positively regulate dandelion tillering and increase yield. The application provides that the gene DgZIP9 can be used for breeding of high-tillering and high-yield dandelion varieties, shortening of a breeding cycle, improvement of efficiency, and improvement of the needs of livestock husbandry and ecological management.

The application discloses a method for inhibiting Artemisia annua in a Hulunbuir typical grassland by using mixed sowing of local dominant plants, and belongs to the technical field of grassland ecological restoration and vegetation regulation. The technical scheme is as follows: during the seedling stage to the initial branching stage of the Artemisia annua, 70% bensulfuron-methyl water dispersible granules are sprayed to perform selective inhibition; 30-45 days after the spraying, local dominant plant grass seeds are supplemented and sowed, and the local dominant plant grass seeds are composed of Leymus chinensis, Leymus mollis, Thinopyrum intermedium, Melilotus officinalis, and Lespedeza davurica; 10-15 days after the supplement and sowing, 1 ton of decomposed sheep manure organic fertilizer is applied per mu. Field verification shows that the application can reduce the biomass proportion of the Artemisia annua by 76.71%, increase the aboveground biomass of the vegetation by 73%-80% compared with a control, increase the organic carbon in the surface layer of the soil by 14.29%, and increase the available phosphorus by 83.02%.

This invention provides a method and system for scale conversion of aboveground biomass based on spatial intersection area weighting. This method is a scale conversion method that can perform weighted calculation based on spatial overlap area to improve the accuracy of aboveground biomass inversion. It uses high-resolution UAV imagery to acquire UAV pixel-level AGB and calculates the area overlap ratio between UAV pixels and satellite pixels. The UAV pixel AGB is then summed with area weighting to obtain a more accurate satellite pixel AGB, providing a reliable data foundation for remote sensing inversion of grassland aboveground biomass.

This invention provides a method for assessing the regulation of grassland biomass by non-growing season precipitation in the Northern Hemisphere, including: data collection and screening, classification of regulatory factors, statistical analysis, and result output. This method retrieves 571 sets of comparative data from in-situ controlled experiments conducted between 1990 and 2025, identifying five categories of regulatory factors, including climate change and environmental geographical conditions. Statistical analysis is performed using a logarithmic response ratio combined with a multi-level mixed-effects model, and publication bias verification ensures the reliability of the results. The results show that increased non-growing season precipitation significantly enhances grassland biomass, with the impact being more pronounced in drier climates; the water gain is concentrated during the vigorous growth period, while the adverse effects of drought begin in the early stages and persist; aboveground biomass is more sensitive to precipitation fluctuations, and differences in wet and dry conditions drive different biomass allocation strategies. This invention's method is standardized and universally applicable, providing a scientific basis for grassland ecological management and climate change risk prediction.

The application discloses a kind of grassland biomass inversion methods based on three-dimensional canopy structure in the field of remote sensing, comprising: S1: obtaining remote sensing image data and biomass measured data, construct real canopy spectral feature dataset;S2: run leaf spectrum model, generate leaf reflectivity and transmittance;S3: leaf reflectivity and transmittance are imported into LESS model, generate canopy hyperspectral simulation dataset, carry out wave band resampling, construct simulated canopy spectral feature dataset;S4: filter out the simulated record with high matching degree, construct lookup table;S5: train machine learning inversion model;S6: the real canopy spectrum feature of target area is input into model, and the spatial distribution result of target area grassland aboveground biomass is obtained.The method realizes the biomass high-precision inversion of complex terrain, non-homogeneous grassland region by fusing leaf optical simulation, three-dimensional canopy radiation transfer simulation and machine learning modeling, and the model generalization ability and cross-region adaptability are significantly improved.

The present application provides a kind of Aquilaria sinensis biomass estimation method, comprising: determining the migration base model of Aquilaria sinensis and the forest resource remote sensing data covering the distribution area of Aquilaria sinensis;Collecting Aquilaria sinensis and pre-migration agarwood variety sample data, determine the species similarity of Aquilaria sinensis and pre-migration agarwood variety;Based on the sample data of Aquilaria sinensis, the biomass of Aquilaria sinensis is calculated, and the forest resource remote sensing data is calibrated by the biomass of Aquilaria sinensis, to construct the remote sensing biomass coupling data set;Determine the aboveground biomass migration estimation value of Aquilaria sinensis, determine the root biomass migration estimation value, determine the interannual variation trend of the biomass of Aquilaria sinensis;Based on the aboveground biomass migration estimation value, the root biomass migration estimation value and the interannual variation trend, the migration base model is corrected, and the final biomass model of Aquilaria sinensis is determined.The present application combines remote sensing space-time data and model migration, realizes the carbon sink measurement, site productivity evaluation and sustainable management of rare or secondary tree species lacking measured data.

The application discloses a kind of salinization wetland vegetation recovery method based on gradient moisture control, first, according to moisture gradient, degraded wetland is divided into three levels of moisture zone, namely low moisture zone, medium moisture zone and high moisture zone, and according to moisture zoning, vegetation recovery scheme is formulated, based on the quantitative relationship between soil moisture content and vegetation aboveground biomass, water supplement measures are formulated, and soil is improved through salt-nutrient synergistic control.The application innovatively integrates hydrological engineering and ecological process control, breaks through the differentiated water supply mode, realizes the synergistic effect of increasing soil and salt inhibition, provides a replicable recovery paradigm for semi-arid region wetlands, and provides a quantifiable natural solution for coping with land desertification and climate change.

The application belongs to the field of agricultural microorganism technology, and discloses a bacillus strain and application of the bacillus strain in promoting growth of tomatoes and inhibiting fusarium oxysporum. Bacillus pseudomycoides ) SYSU BS000486, which is preserved in the China General Microbiological Culture Collection Center and has a preservation number of CGMCC No. 36880. The bacillus mycoides has obvious antagonistic effect on fusarium oxysporum, can significantly reduce the disease incidence of tomato diseases caused by fusarium oxysporum, and effectively relieves the biological stress of tomato plants caused by infection of fusarium oxysporum. Meanwhile, the bacillus mycoides can promote the growth of plants, so that the stem length and aboveground biomass of the plants are significantly increased. The bacillus mycoides has wide application prospect in the fields of agricultural microbial agent research and development, biological control of crops and green yield increase.

The present disclosure provides an accurate inversion method and system for aboveground biomass of urban vegetations considering vegetation types. The method includes: based on different research regions, performing corresponding biomass calculation after plot sampling; preprocessing high-resolution optical data and space-borne photon counting LiDAR data, performing fine extraction on urban vegetation information, extracting spectral features of high-resolution remote-sensing image data and constructing an optical-biomass inversion sub-model, extracting vegetation height data of the space-borne photon counting LiDAR data and constructing a space-borne LiDAR-biomass inversion sub-model; with the support of the information on fine classification on the urban vegetation types, performing integration on the biomass inversion sub-models; based on the sample plot biomass data of the urban vegetations, obtaining an integrated inversion model fusing the horizontal information and the three-dimensional structure information of the urban land surface vegetations by training to perform accurate mapping of the aboveground biomass of the urban vegetations.

The application discloses a method for improving growth of strawberry offspring plants based on nano CeO2, and comprises the following steps: S1, culture soil preparation; S2, culture of strawberry mother plants; S3, culture of first-generation strawberry daughter plants; and S4, culture of second-generation strawberry daughter plants. The method can culture two generations of strawberry daughter plants through the method of stolon reproduction, and a higher nano CeO2 transport coefficient can be obtained in the two generations of strawberry daughter plants. The transported nano CeO2 significantly improves the underground and aboveground biomass of the first-generation / second-generation strawberry daughter plants, thereby finally improving the crop yield. Only suitable nano CeO2 needs to be applied in the culture soil of the strawberry mother plants, and no nano CeO2 needs to be applied in the culture soil of the strawberry daughter plants, so that the cost is saved, the possible side effects of the nano CeO2 can be avoided, and the method has strong practicability.

This invention discloses rice OsCLE-W The application of genes to improve the salt and alkali tolerance of plants belongs to the field of plant genetic engineering technology. The rice mentioned... OsCLE-W The nucleotide sequence of the gene is shown in SEQ ID NO.1, and the amino acid sequence of the secretory peptide encoded by this gene is shown in SEQ ID NO.2. This invention utilizes rice... OsCLE-W Gene cloning and analysis, combined with genetic transformation and overexpression techniques, were applied to the rice variety Hua 11. OsCLE-W Functional verification of the gene revealed... OsCLE-W OsCLE-W OsCLE-W OsCLE-W OsCLE-W OsCLE-W OsCLE-W OsCLE-W OsCLE-W The overexpression of this gene significantly enhanced the salt and alkali tolerance of the plants, with significantly higher plant survival rates and aboveground biomass compared to the wild type. This invention provides a theoretical basis and target gene for salt-alkali tolerant rice breeding and production, and has significant economic and social benefits.

The application discloses a kind of using multi-source remote sensing data's Sonneratia apetala aboveground biomass inversion method, is realized by multi-source remote sensing data.First, plot investigation is carried out to obtain biomass measured data, and the height data of unmanned aerial vehicle laser radar scanning are acquired.Then, the height-biomass inversion model is constructed in combination with plot investigation results, biomass measured data and height data, and the biomass distribution of Sonneratia apetala in laser radar scanning area is estimated.Then, sentinel 2 and Landsat series images are collected, spectral features and age data are extracted, regression analysis is carried out, and the Sonneratia apetala biomass inversion model based on satellite remote sensing data is constructed.Finally, the Sonneratia apetala biomass in satellite remote sensing image range is estimated using the model and satellite remote sensing data.The application realizes efficient and high-precision Sonneratia apetala aboveground biomass inversion.