432 results about "Single plant" patented technology

The invention discloses a method for estimating plant biomass based on map multi-modal feature extraction and fusion. The method comprises the following steps: acquiring a plant RGB image and a multi-spectral image; inputting the preprocessed RGB image and NIR wave band image into a double-model cooperation segmentation framework to realize image segmentation; binary image features, color features, texture features, reflectivity and the like are calculated, feature splicing is carried out, and high-dimensional features are constructed; carrying out dimension reduction on the high-dimensional features; and training a deep neural network through the effective features and the biomass to realize biomass estimation. According to the method, a zero sample learning-based double-model cooperation segmentation framework is utilized to realize accurate segmentation of a single plant on the premise that a large number of training sets are not needed; multi-modal feature information is extracted based on the segmented single plant image, an improved SHAP model is introduced to reduce the feature space dimension, and the inversion precision and the operation efficiency are improved while the information effectiveness is ensured; through a high-precision deep neural network model, rapid, lossless and accurate biomass acquisition is realized.

The invention belongs to the technical field of pepper planting, and discloses a pepper multi-branch gene CaBr1 linked KASP molecular marker as well as a primer, a kit and application thereof, the KASP molecular marker takes pepper S8 (zhangshuang) as a reference genome, and the single nucleotide polymorphism at the 103175415th basic group on the No.8 chromosome is subjected to basic group G-to-A replacement. A chromosome region closely linked with multiple branches of the pepper is obtained by using a BSA (Bovine Serum Albumin) population positioning method, a molecular marker is developed in a candidate region to determine a candidate gene CaBr1, a KASP molecular marker is screened according to base mutation of the candidate gene, and the marker is used for carrying out genotype identification on 90 randomly sampled single plants of an F2 population, and the coincidence rate reaches 100%. The result not only contributes to pepper branch phenotype identification and assistant breeding, but also lays a foundation for map-based cloning of the branch gene and analysis of a molecular mechanism of pepper plant type regulation.

The invention discloses a sapling planting growth evaluation method based on image recognition parameter acquisition, relates to the technical field of sapling planting growth evaluation, and aims to solve the problem that the sapling survival rate is reduced due to inaccurate sapling growth cycle evaluation. According to the method, visual information is converted into quantitative data through single plant marking and feature binding, the objectivity and accuracy of growth state evaluation are greatly improved, a high-quality data foundation is laid for subsequent analysis, the leaf withering and yellowing risk is pre-judged through correlation of temperature fluctuation and soil humidity, a prospective management basis is provided for planters, and the method is suitable for large-scale popularization and application. According to the method, the timeliness and scientificity of growth regulation and control are remarkably improved, the withered and yellow risk of the leaves is pre-judged through correlation of temperature fluctuation and soil humidity, a prospective management basis is provided for planters, and the timeliness and scientificity of growth regulation and control are remarkably improved.

The invention relates to the technical field of soybean plant information analysis, in particular to a soybean whole plant character analysis method based on three-dimensional point cloud. Comprising the following steps: carrying out collection, labeling and standardized pretreatment on three-dimensional point clouds by adopting a soybean pod state joint labeling method based on the three-dimensional point clouds; an improved SoftGroup multi-task learning model is constructed, all the modules work cooperatively according to preset logic, the three-dimensional point cloud of the single plant of soybean serves as input, and target task result output is achieved through point cloud feature extraction and instance clustering; performing multi-task joint training on the improved SoftGroup multi-task learning model, preprocessing the three-dimensional point cloud of the soybean plant to be tested, inputting the preprocessed three-dimensional point cloud into the trained model, performing multi-task reasoning, correcting geometric parameters through PCA fine processing, and counting the pod bearing number; removing pod point cloud from the single-plant soybean three-dimensional point cloud to obtain plant main body point cloud; and extracting a plant skeleton from the plant main body point cloud, and obtaining character data of the plant skeleton.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to a single wheat spike number character and application of the SNP molecular marker, and belongs to the technical field of molecular marker breeding. The invention discloses a single wheat spike number related SNP-783 site and application thereof, the SNP site corresponds to the 783rd basic group from the 5'tail end of a sequence as shown in SEQ ID NO.1, and when the site is C / C homozygous, the corresponding genotype is A, and when the site is C / C homozygous, the corresponding genotype is B, and when the site is C / C homozygous, the corresponding genotype is C / C homozygous; when the locus is T / T homozygous, the corresponding genotype is B, and the ear number of a single plant is as follows: the wheat with the homozygous genotype A is greater than or candidate to be greater than the wheat with the homozygous genotype B. The SNP has high effectiveness and potential application value, the wheat with the high spike number per plant can be found by detecting the SNP, and the SNP has important value in research or application of cultivation of high-yield wheat varieties.

The invention discloses an oilseed rape BnaA09.SCL28 gene and a promoter and application thereof. The sequence of the oilseed rape BnaA09.SCL28 gene is shown as SEQ ID No.6, and the sequence of the promoter of the oilseed rape BnaA09.SCL28 gene is shown as SEQ ID No.5. Overexpression of the oilseed rape BnaA09.SCL28 gene can increase the size of oilseed rape seeds, increase the seed yield of an oilseed rape single plant, increase the number of effective siliques of oilseed rape, increase the number of seeds per silique of oilseed rape, and increase the height and branching number of oilseed rape plants. The BnaA09.SCL28 gene promoter can drive a target gene to be specifically expressed in buds, siliques or seeds in the early stage of a plant, which indicates that BnaA09.SCL28 can positively regulate longitudinal growth, branch development and reproductive organ formation of the plant, and provides theoretical support for increasing the yield of a single rape plant.

The invention discloses a tissue culture method of a citral type cinnamomum bodinieri stem with an axillary bud, and relates to the technical field of forest tree tissue culture. The tissue culture method comprises the following steps: selecting a current-year semi-lignified stem on a citral type cinnamomum bodinieri excellent single plant for disinfection treatment, and inoculating the stem on an axillary bud primary induction culture medium for axillary bud primary induction culture; after stem axillary buds in the axillary bud primary induction culture medium germinate, stem segments with axillary buds are soaked with a phycocyanobilin solution and then inoculated into the adventitious bud induction culture medium, red light irradiation treatment is conducted, conventional adventitious bud induction culture is conducted after red light irradiation, adventitious bud subculture multiplication culture, strong seedling culture and rooting induction culture are conducted, and the stem segments with the axillary buds are obtained. And finally, hardening seedlings and transplanting. According to the tissue culture method provided by the invention, the adventitious bud multiplication coefficient can reach more than 5, the rooting rate reaches up to 90.00%, the average rooting number also reaches 3.44, and the survival rate after two months is more than 85%. The invention provides support for better development and utilization of citral type Cinnamomum bodinieri, and has important significance for popularization and application of citral type Cinnamomum bodinieri.

The invention relates to the field of pet nursing, in particular to citron flower mite-killing pet spray and a preparation method thereof.The citron flower mite-killing pet spray comprises a two-phase release system composed of an immediate release phase and a slow release phase, the immediate release phase is a nano-emulsified citron flower extract and a synergistic plant extract, and the particle size of the immediate release phase is 50-80 nanometers; the slow-release phase is a microencapsulated citron flower extract and a synergistic plant extract, and the particle size is 2-15 microns; the mass ratio of the immediate release phase to the slow release phase of the two-phase system is equal to 40: 60; the mass ratio of the citron flower extract to the synergistic plant extract is 1.5: 1 to 4: 1; the synergistic plant extract is selected from one or more of tea tree oil, green prickleyash extract and lemon eucalyptus leaf extract, and by optimizing the ratio of the citron flower extract to the synergistic plant extract and utilizing the synergistic effect of multiple acaricidal mechanisms, the acaricidal rate can reach 95% or above, and the acaricidal effect is better than that of a single plant extract.

The invention relates to a crown segmentation method based on a CSAF framework, and the method comprises the steps: integrating Fourier transform and a state space model through a GM-Mama module, and effectively improving the extraction capability of a fuzzy crown contour; a forgetting factor is dynamically regulated and controlled by using an MASA-Optimizer module in combination with a multi-agent negotiation mechanism, and continuous self-adaptive learning of dynamic changes of species and phenology is realized; a physical constraint based on a Poisson equation is introduced by means of an MPC-Poisson module, and spectral interference of non-target vegetation is significantly inhibited; according to the method provided by the invention, high-precision crown instance segmentation and counting can be realized in a cross-species and cross-phenological complex scene, accurate calculation of a vegetation index of a single plant level is supported, and a flexible and powerful method is provided for analysis of different types of forest crowns.

The invention relates to the technical field of agricultural monitoring, and discloses an intelligent agricultural monitoring system based on big data, which comprises a division unit, an integration unit, an analysis unit, an association unit and an evaluation unit.According to the scheme, a single plant serves as a core, grids are dynamically divided according to overground and root system characteristics, different from traditional large-area monitoring, crops can be accurately focused, and the monitoring accuracy is improved. Various data such as images, environment, soil and the like are fused, big data and intelligent agriculture are combined, limitation of single data is broken through, overground and underground conditions are associated through overground physiological advance values and root depth activity coefficients, the situation that only overground parts are monitored, monitoring lag conditions occur is broken through, and growth conditions of crops are known in advance. Therefore, crop health is accurately evaluated, and an accurate detection effect is achieved.

The invention discloses a red pepper layered tree shape cultivation and pruning-free picking method. The problems that traditional red pepper picking is low in efficiency, high in labor cost, complex in pruning and difficult in old tree transformation are solved. According to the technical scheme, when a new tree is cultivated, first-level branches (trunks) are controlled to be 2-2.5 m, tops are removed, three layers of second-level branches which are evenly distributed in a staggered mode are cultivated, three branches are arranged on each layer, nine branches are evenly distributed by 360 degrees in total, 15-20 sets of third-level branches are cultivated for each second-level branch, each set comprises A branches and B branches, and the two sides of each set are staggered; during picking, one third-level branch in each group is removed (with hidden buds reserved), and pruning is avoided; when old trees are transformed, branches and trunks are cut, stumps are reserved, and robust sprout tillers are selected to be cultivated according to a new tree method; according to the method, the yield of a single plant in the full-producing period reaches 27-54 jin, the picking efficiency is improved by 3-5 times, the labor cost is reduced by 50% or above, and the method is suitable for red pepper suitable-to-grow areas at the altitude of 1500-2200 m.

The invention relates to the field of urban green land evapotranspiration zoning, in particular to an urban green land surface evapotranspiration zoning method and system based on impedance parameters, and aims to distinguish arbor, shrub and lawn transpiration in an urban green land. The method comprises the following steps: firstly, collecting and preprocessing vegetation morphological parameters, meteorological data, canopy surface temperature, soil heat flux, vegetation transpiration and vortex related flux data; calculating leaf boundary layer impedance and canopy stomatal impedance of each vegetation type by using a backstepping Penman-Monteith formula and an earth surface energy balance equation; determining the proportion of each vegetation type in the flux contribution source area through a flux footprint model, and reversely deducing the total aerodynamic impedance and the total stomatal impedance of the earth surface; solving aerodynamic impedance of each vegetation according to an earth surface energy balance equation and performing fitting correction; and finally, the corrected impedance parameters are substituted into a Penman-Monteith model to calculate the transpiration amount of each vegetation. According to the method, the problem of mismatching between single plant scale data and community scale data is effectively solved, and the evapotranspiration partition calculation precision is improved.

The invention discloses a camellia chekiangoleosa improved variety breeding method and a camellia chekiangoleosa improved variety breeding system based on function superposition, and the method comprises the following steps: cloning excellent single plants through a high-stem grafting technology, and establishing a specific germplasm resource library; determining three types of phenotypic data of a floral leaf character set, an oil yield character set and an oil quality character set; the method comprises the following steps: presetting six types of application scenes such as an edible oil production raw material forest and a specific natural compound production raw material forest, and constructing a comprehensive evaluation model by adopting a hierarchical weight distribution method: distributing first-level weights for three types of character sets, and then distributing second-level weights for characters in subsets; standardizing the character of the floral leaf by adopting a binary comparison method, and standardizing the character of the oil yield and the character of the oil quality by adopting a centesimal system; and screening a target improved variety according to a comparison result of the comprehensive score of the to-be-evaluated variety and the average score of the existing improved variety. By means of the method, superposition breeding of ornamental, oil production and oil quality functions is achieved, and the adaptability of improved varieties and industrial scenes is improved.

The present invention is directed at a method to produce a substantial number of seeds (e.g., 10,000) from a single plant. The method involves growing a mother plant under conditions designed to substantially maintain the mother plant in a vegetative state and substantially delay reaching reproductive stage. Then, removing the apical meristem once the mother plant has reached a desired stage of growth. The method further involves removing one or more branches from the mother plant (as branch cuttings). The method additionally involves maintaining each of the branch cuttings in growth media under acclimation conditions until each of the branch cuttings resume growing vegetatively as clone plants, then inducing the clone plants to flower and once the clone plants have been induced to flower, returning them to vegetative growth conditions. The clone plants are then maintained under vegetative growth conditions until they have produced a desired number of seeds.

The invention discloses application of a rice SD10 gene in yield regulation and lodging resistance. The invention provides a protein, a substance for up-regulating or enhancing or improving the expression of a coding gene of the protein, or an application of a substance for up-regulating or enhancing or improving the activity or content of the protein in at least one of the following substances. A1) improving lodging resistance of plants; a2) increasing the plant yield; a3) cultivating lodging-resistant plants; a4) cultivating high-yield plants; a5) plant breeding; the protein comprises an amino acid residue as shown in SEQ ID No. 2; the invention proves that the SD10 gene simultaneously affects the characters such as single plant yield and stalk thickness, and plays a very important role in regulating and controlling the rice yield and lodging resistance, and the encoding nucleic acid of the protein SD10 is a high-quality gene for cultivating high-quality variety rice, and is used for cultivating high-yield and lodging-resistant rice.

The invention discloses a space optimization-based low-efficiency camellia oleifera forest transformation method and system. The method comprises the steps of collecting standard camellia oleifera forest data to construct a standard production database; the method comprises the following steps: acquiring stand layout data and single plant data of a camellia oleifera low-efficiency forest to be transformed, and constructing a twin digital forest of the camellia oleifera low-efficiency forest; based on data in the camellia oleifera standard production database, constructing a camellia oleifera low-efficiency forest reconstruction prediction model with maximization of forest stand expected total yield and minimization of reconstruction implementation complexity as targets, inputting data in the twin digital forest into the model, and performing optimization calculation to obtain a low-efficiency camellia oleifera low-efficiency forest reconstruction prediction model. Generating a production optimization scheme containing an optimal plant layout and a single plant transformation suggestion; based on the optimization scheme, generating a visual construction drawing or an AR guidance instruction to guide reconstruction construction; after transformation, output data are collected to verify the effect. According to the method, through digital modeling and multi-target space optimization, refinement, intelligence and scientific decision-making of camellia oleifera low-efficiency forest transformation are realized, and the overall output benefit is effectively improved.

The invention discloses a field crop growth monitoring method based on low-altitude remote sensing multi-scale data, relates to the technical field of agricultural remote sensing and intelligent monitoring, and is used for solving the problem that a monitoring method integrating multi-scale remote sensing data and having high precision, high adaptability and high efficiency is lacked in the prior art. The method comprises the steps of collecting remote sensing image data of a monitoring area, performing splicing and spectrum correction on images, extracting canopy coverage, vegetation indexes, colors and texture features to construct a feature matrix, and dividing different cells based on clustering analysis; carrying out sampling analysis on the key cells at the middle-distance flight height, further obtaining cell growth vigor characteristics and determining sampling points; single plant growth vigor diagnosis is completed, and a diagnosis result is output; the method can be widely applied to field crop growth monitoring and precision agricultural management work.

At present, main fragrance products in the market comprise three types of fragrance candles, liquid fragrance and traditional burning incense. In the prior art, fire accidents are easy to occur, negative risks of PM2.5 to respiratory tracts of human bodies exist, articles are greatly wasted, degradation is not easy, fragile container products have potential harm to human and animals, and resources are wasted. The acceptability of people is lower than that of natural products. The inventor finds that the extracted remains and residues of plants have a large amount of aromatic substances for a long time, and the remains and residues of the plants are often directly discarded in the industry and are not wasted. Through six years of exploration, pure fragrance of a single plant without an adhesive acts on people, so that the people are benefited. And the product has the functions of a natural fragrance diffuser and an art ornament, and can be naturally degraded. The problem of treatment of plant residues and remains in an extraction factory is solved, and the plant residues and remains are effectively converted into high-added-value products.

The invention relates to the technical field of construction of clone cutting orchards of China fir, in particular to a method for constructing a cutting orchard by grafting and cultivating stock plants through root stocks of China fir. According to the method, the cunninghamia lanceolata roots serve as stocks, and branches on excellent single plants are grafted. The stock plant survived after grafting does not germinate coppice shoots due to the fact that the rootstock is a seedling root. After earthing, the grown coppice shoots are coppice shoots on the scions, namely the coppice shoots of excellent clonal materials. Moreover, after the soil covering treatment, the coppice shoots growing from the soil are subjected to a'yellowing process', so that the'rejuvenation 'effect of the coppice shoots is realized. When the coppice shoots are used for cutting seedling raising, the effect is good, growth is rapid, and the problem that the survival rate is low when branches are picked from forest branches for cutting is effectively solved. The method can be used for building a cutting orchard in the current year, and is an effective method for rapidly breeding clone scions with large yield increasing benefits. The application can bring remarkable economic benefits to forestry production.

The invention belongs to the technical field of plant breeding, and particularly relates to a breeding method of high-yield multi-chamber brassica napus. Comprising the following steps: performing hybridization by taking a mustard type rape multi-chamber resource as a female parent and a cabbage type rape as a male parent to obtain an F1 generation, and performing isolated propagation to obtain F2 free seeds; selecting partial brassica napus type single plants from F2 free seeds for selfing propagation to obtain F3-generation seeds, planting the F3-generation seeds according to plant lines, performing selfing propagation, screening out single-plant selfing seeds with multi-chamber pods, continuing selfing, continuously repeating for 2-4 generations, screening out single plants closest to male parent characters, and obtaining high-yield multi-chamber brassica napus resources. The multi-chamber brassica napus resource with the multi-chamber pod rate larger than 60% is obtained through the method, the novel multi-chamber brassica napus resource with the pod length close to that of double No.11 in brassica napus parents is obtained, and the pod length of the novel multi-chamber brassica napus resource reaches 11.01 cm.

The invention relates to the technical field of gene engineering, in particular to application of wheat TaLNUE protein in regulation and control of low nitrogen stress tolerance of plants. According to the invention, a single-chain guide RNA of a target wheat TaLNUE gene is designed, an expression vector of the TaLNUE gene is knocked out, and the expression vector is transformed into wild type wheat, so that transgenic wheat with the function inhibited by the TaLNUE gene is obtained. Researches find that the spike length and the spikelet number of wheat under low nitrogen stress can be increased by inhibiting the expression of the wheat TaLNUE protein, so that the single plant yield and the total yield of the wheat under low nitrogen stress are increased, and the nitrogen absorption efficiency and the nitrogen utilization efficiency of the wheat under low nitrogen stress are improved. According to the technical scheme, a feasible method is provided for improving the wheat yield under low nitrogen stress by utilizing a genetic engineering technology.

The invention discloses a KASP molecular marker related to gibberellic disease resistance on a wheat 7B chromosome and application of the KASP molecular marker, and belongs to the field of molecular biology. The KASP molecular marker closely associated with wheat scab resistance is screened, and the nucleotide sequence of the KASP molecular marker is as shown in SEQ ID NO.1; a primer group for amplifying the KASP molecular marker is further designed, and the primer group comprises upstream primers F1 and F2 and a downstream primer R which are connected with fluorescent connectors with different colors. Experimental results show that the KASP molecular marker developed by the invention can be used for efficiently and accurately identifying whether the wheat to be detected has gibberellic disease resistance or not so as to separate gibberellic disease resistant single plants in a population for improved breeding of the wheat, so that the detection cost can be effectively saved, the period can be shortened, and the breeding efficiency can be improved. The invention provides a new theoretical basis and technical means for disease-resistant breeding of wheat, and has outstanding industrial application value.

The invention discloses a method for quickly breeding soybeans in a greenhouse, which comprises the following steps of: planting soybean seeds in a pot picking method in the greenhouse, sowing the soybean seeds in planting pots, and planting 4-8 soybean seeds in each pot, and the conditions of the greenhouse are as follows: (1) photoperiod treatment; (2) light quality treatment: putting the seeds into a blue-light LED lamp room after sowing, increasing the proportion of the blue-light wave band of 460-490 nm by 15% under a full-spectrum condition, and transferring the plants into the full-spectrum LED lamp room when the plants grow to a four-leaf stage until the plants are mature; (3) temperature treatment; (4) humidity treatment; (5) CO2 concentration treatment; (6) supplementing water; and (7) post-processing. According to the method, the breeding cycle of four generations of soybeans in one year can be realized by regulating and controlling the aspects of photoperiod, light quality, CO2, temperature, humidity, moisture, post-treatment and the like, and the average single plant breeding quantity is between 30 and 70, so that the breeding cycle can be shortened, and the breeding yield can be increased.

The present invention relates generally to the field of molecular biology and concerns a method for high throughput screening and characterization of one or more candidate plant pathogen effect genes and / or one or more candidate plant disease resistance genes in a single plant cell, the method comprises: (i) introducing into a plant protoplast one or more expression cassettes comprising at least one candidate plant pathogen effect gene and / or at least one candidate plant disease resistance gene; (ii) transiently expressing the one or more candidate plant pathogen effect genes and / or the one or more candidate plant disease resistance genes; (iii) measuring reactive oxygen species (ROS) produced by the protoplast; then (iv) separating the plant protoplast producing the ROS; and (v) identifying the introduced at least one candidate plant pathogen effect gene and / or at least one candidate plant disease resistance gene. Alternatively, the protoplast is capable of expressing the selectable marker, thereby allowing for the measurement of modulated selectable marker expression as an alternative indicator for HR activation.

The invention discloses application of an MsMYB-ZD gene in regulating and controlling the leaf size and yield of medicago sativa, and belongs to the technical field of plant genetic engineering. According to the invention, an MsMYB-ZD transcription factor for regulating and controlling the leaf size of medicago sativa is cloned by using transcriptome analysis; experimental data show that the MsMYB-ZD gene presents a gradually up-regulated expression mode in a leaf development process; compared with wild alfalfa Gongnong No.1 1-16 single plants, the leaf area of the overexpressed MsMYB-ZD transgenic single plant is averagely enlarged by 77%, and the expression quantity and the leaf area of the transgenic line show a remarkable positive correlation relationship; the fresh grass yield of a transgenic single plant is increased by 158.7%, and the hay yield of a single plant is increased by 207.5%. The results show that the gene has important significance for improving the yield of medicago sativa.

The invention relates to the technical field of smart agriculture, in particular to a smart agricultural plant full view measurement and calibration method and system based on computer vision, and the method comprises the steps: building a region simulation model for a planting region, and measuring the longitudinal distance between any adjacent target plants in the region simulation model according to the development starting time of the target plants, the region division module sets an independent growth region based on a longitudinal distance value; the image analysis module further identifies a relationship between branches and leaves and growth points in a unit image, distinguishes associated branches and leaves from irrelevant branches and leaves, accurately judges an interference state, and then marks and measures the associated branches and leaves according to the interference state; accurate plant growth information is obtained, so that the measurement result can more truly reflect the actual growth condition of a single plant, and further accurate measurement of the full view of the plant is realized.

The invention provides a peptide-enriched organic fertilizer as well as a preparation method and application thereof, and belongs to the technical field of organic fertilizer preparation. The preparation method of the peptide-enriched organic fertilizer provided by the invention comprises the following steps: mixing corn soaking water with aspergillus oryzae seed koji, and fermenting for the first time to obtain the peptide-enriched organic fertilizer; the aspergillus oryzae mold starter is obtained by inoculating aspergillus oryzae YY-21 into a culture medium and fermenting 2. According to the preparation method provided by the invention, the peptide-enriched organic fertilizer with high amino acid nitrogen content, high small peptide content, high soluble protein content and high thallus biomass can be prepared, and when the peptide-enriched organic fertilizer is used for planting lettuce, the plant height, the fresh weight of a single plant, the root length, the leaf number and the leaf area of the lettuce can be remarkably increased; the chlorophyll content, the vitamin C content and the total sugar content in the lettuce can be remarkably improved, and the nitrate content of lettuce leaves can be reduced.

The invention relates to a thyme biomass prediction method based on multispectral data and machine learning. The thyme biomass prediction method comprises the steps that multispectral image data of a research area is acquired and preprocessed; single plant scale segmentation is carried out, and a target extraction result of the single plant scale is acquired; calculating a vegetation index; and modeling the vegetation index by adopting a machine learning model to obtain a biomass prediction model, training the biomass prediction model, and automatically predicting the thyme biomass to obtain two prediction targets of dry weight and fresh weight. According to the method, the low-altitude multispectral image data of the unmanned aerial vehicle is combined with various machine learning models, a high-precision biomass prediction model is established, the spatial distribution characteristics of large-area thyme biomass are accurately obtained in real time, and a basis is provided for grassland ecological system management and resource evaluation; through prediction of 11 machine learning models, limitation of a single model is overcome, and stability and reliability of a prediction result are enhanced.

The invention relates to the field of intelligent identification, and more specifically relates to a three-dimensional phenotype segmentation and labeling system for field corn crops, comprising: an initialization module for executing opening, loading and preprocessing tasks of field corn point cloud data files; the ground segmentation module is used for executing an automatic segmentation task of the corn plant population and the ground; the single plant identification module is used for executing a task of accurately segmenting single plants in the plant population and generating identification information; the skeleton classification module is used for executing skeleton calculation and data point category division tasks of the single-plant corn point cloud; the organ labeling module is used for executing stem and leaf organ structure division and labeling tasks of the single-plant corn point cloud; and the result interaction module is used for executing visualization of output data of the key steps of the modules and storage tasks of projection, segmentation, labeling and classification result data output by the modules.

The invention relates to the technical field of rice planting methods, in particular to a nutrient solution for culturing Guizhou indica rice variety 'Guizhou Red No.1' as well as application and a culture method of the nutrient solution. According to the invention, a nutrient solution specially aiming at 'Guihong No.1' is researched and determined, the nutrient solution is added with micromolecular substances and Br with the final concentration of 0.1-0.6 [mu] M, GABA with the final concentration of 0.3-0.9 mM, melatonin with the final concentration of 0.5-5 [mu] M and salicylic acid with the final concentration of 10-20 [mu] M, and the nutrient solution specially aiming at 'Guihong No.1' can effectively improve the plant height, the biomass (fresh weight), the nitrogen content, the chlorophyll content and the dry weight of a single plant of 'Guihong No.1'. The nutrient solution provided by the invention can solve the technical problem of lack of an effective culture method in the prior art, and can better promote large-scale, intensive and factory planting management and large-area popularization and application of indica rice varieties in Guizhou by utilizing synergistic interaction and advantage complementation among different treatment modes.