465 results about "Flora" patented technology

The present invention relates to the technical field of pesticides, and discloses a biological agent-based rice sheath blight disease efficient control agent, which comprises an active flora, a carrier, an auxiliary agent and a disease resistance enhancing factor, the active flora is used for combining humidity, pH and temperature response type materials so as to make the bacterial agent dynamically released, and the disease resistance enhancing factor is used for controlling the disease resistance of the rice sheath blight disease. The carrier is used for enabling the active ingredients to be slowly released in a field environment and keep stability, the auxiliary additive is used for improving the activity, adhesiveness and soil adaptability of the fungicide, and the disease-resistant enhancing factor is used for expanding and improving the adaptability of the control agent. The ratio of the active flora to the carrier to the auxiliary additive to the disease-resistant enhancing factor is 10: 50: 13: 27. Through the synergistic effect of various functional strains and the combination of the dynamic release carrier, the occurrence and propagation of the rice sheath blight disease are effectively inhibited, the prevention and treatment rate can reach 75-85%, and the prevention and treatment effect is obviously higher than that of a traditional chemical pesticide or a single fungicide.

The invention belongs to the technical field of garden irrigation, and particularly discloses a garden landscape intelligent irrigation management system which comprises a sensing layer, a transmission layer, a platform layer and an execution layer. The sensing layer is used for collecting garden environment and plant related data; the transmission layer is used for transmitting the data acquired by the sensing layer to the platform layer; the platform layer is used for realizing data visualization, intelligent decision generation and equipment control; the execution layer executes irrigation operation according to an instruction of the platform layer; according to the system, through accurate monitoring and intelligent control, water resource waste and irrigation cost are effectively reduced. Manual inspection and operation workloads are reduced through automatic operation, one administrator can manage thousands of mu of gardens, and the management efficiency is improved. The risk of plant diseases and insect pests can be reduced through on-demand irrigation, and the stability and attractiveness of the garden landscape effect are kept. The environment, irrigation and plant growth data accumulated by the system provides a scientific decision basis for garden maintenance, and is convenient for long-term planning and management strategy optimization.

The invention discloses preparation of a trichoderma composite flora and application of the trichoderma composite flora in prevention and control of crop fusarium wilt and improvement of soil, and relates to the field of agricultural production, and the composite flora is prepared by mixing trichoderma asperellum (5 * 10 < 7 > CFU / L), streptomyces (108 CFU / L), Chinese monospora (108 CFU / L), ensifer adhesion (108 CFU / L), pseudomonas nitroreducens (108 CFU / L) and paenibacillus alvei (108 CFU / L) according to the volume ratio of 6: 1: 1: 1: 1: 1: 1: 1 (V: V). According to the composite flora in the scheme, the composite flora is used for promoting growth of cucumber plants, and compared with a clear water control group (Foc), the fresh weight of cucumbers is increased by 55.51%, the stem diameter is increased by 12.76%, and the plant height is increased by 34.25%. The composite flora can also effectively prevent and treat fusarium wilt of cucumbers, and the prevention and treatment effect reaches 71.43%. Compared with the Trichoderma asperellum FJ035 treated group, the Trichoderma asperellum FJ035 has the advantages that the Trichoderma asperellum FJ035 is better than the Trichoderma asperellum FJ035 which is independently applied in the aspects of promoting the growth of cucumber plants and preventing and treating cucumber fusarium wilt, and compared with the Trichoderma asperellum FJ035 treated group, the control effect is improved by 56.25%. Meanwhile, the composite flora can be used for improving soil and preventing and treating multi-crop fusarium wilt.

The invention discloses a biological feed conversion process regulation and control method based on multi-objective optimization, which comprises the following steps: establishing a multi-objective optimization mathematical model according to a temperature numerical value, a pH value numerical value, a flora proportion numerical value and a nutrient proportion numerical value which are acquired in real time, and obtaining a multi-dimensional decision space; sensing the state of a decision space in real time by using a deep neural network, determining the priority and weight of an optimization target, and generating a real-time regulation and control strategy; adjusting a multi-mode ant colony collaborative optimization algorithm based on a real-time regulation and control strategy to obtain a candidate solution set; selecting an optimal regulation and control scheme from the candidate solution set through a reinforcement learning strategy; converting the regulation and control scheme into a process control instruction and carrying out real-time regulation and control; and feeding back the process parameters after real-time regulation and control, dynamically updating the decision space, and continuously optimizing the conversion process. The conversion efficiency and the resource utilization rate are improved, and the environmental influence is reduced.

The invention provides a soil flora analysis method, a related soil flora and application thereof. Based on a soil long-term positioning test, an absolute quantitative method is used for the first time to explore a dynamic assembly rule of rhizosphere and in-root microbiome in a plant full life cycle, and the response characteristics of the rhizosphere microbiome to different fertilization treatments are studied. By combining methods of metagenome, microorganism isolated culture, community synthesis and the like, functional adaptation of rhizosphere microorganisms under different fertilization conditions and a mechanism of influencing the growth of leguminous plants are disclosed. The invention also provides a method for improving the chemical properties and soil flora of soil; the invention also provides an artificially synthesized flora which has a promoting effect on the growth and biomass of leguminous plants.

The invention belongs to the technical field of medical image detection, and particularly relates to an esophageal flora image intelligent detection method for risk prediction of gastroesophageal reflux disease, which comprises the following steps: acquiring flora images and clinical data, and constructing a perception network; quantifying flora displacement characteristics by using image registration; the method comprises the following steps of: extracting flora density, aggregation degree and fluorescence gradient characteristics by combining improved U-Net + + segmentation, fusing flora and epithelial cell lesion characteristics through space-time attention, generating a flora-host association map, constructing a flora dynamic evolution model by utilizing a space-time map convolutional network, predicting Barrett esophageal occurrence probability and flora diffusion trend, and predicting the occurrence probability of the Barrett esophagus. Calculating a lesion risk level through a flora imbalance quantification algorithm; in combination with reflux frequency and pH fluctuation, a flora-environment interaction model is used for simulating a field planting coefficient and correcting parameters, the parameters are transmitted to a diagnosis platform to deduce canceration risks, grading suggestions are triggered, and a visual report is generated. Therefore, the problems of long detection period, weak microscopic analysis capability and the like in the prior art are solved.

The invention discloses a community level quantification and evaluation method based on inter-bacterial interaction and a flora structure, which comprises the following steps: firstly, acquiring microbial community information, constructing a biological association network, and screening out highly related inter-bacterial interaction coefficients through significance analysis; secondly, calculating an average value of highly correlated inter-bacterium interaction coefficients of each species; taking the relative abundance table of the species as a weight, and multiplying the weight with the average inter-bacteria interaction coefficient matrix of the species; and finally, obtaining the total association strength of the community through two-step summation, and defining the total association strength as a new microbial community evaluation index as a community collaboration index. The larger the index is, the higher the total positive correlation strength of the community is, and the better the stability and functionality of the microbial community are. The community level quantification and evaluation method provided by the invention comprehensively covers inter-bacterial interaction and flora structure information of the target community, can realize quantification of multi-dimensional microbial community data to a low-dimensional community level, and can intuitively and accurately evaluate the overall functionality and stability of the microbial community.

The invention relates to the technical field of wound nursing, and discloses a wound flora monitoring method and system. The method comprises the following steps: acquiring wound physiological characteristic parameters, real-time flora monitoring data and multispectral imaging data, and constructing a three-dimensional flora distribution model and an initial flora dynamic model after preprocessing; applying metabolism and environmental conditions to obtain a comprehensive model and flora dynamic coupling data; training a flora classification model to obtain abnormal characteristic parameters; simulating abnormal evolution of flora to obtain information such as diffusion trend; constructing an optimization model to determine the optimal configuration of the monitoring device; and adjusting a monitoring strategy based on the risk grading model. The system comprises a data acquisition module, a model construction and analysis module, a flora classification module, a simulation analysis module, a configuration optimization module and a risk regulation module. Through multispectral imaging, dynamic modeling and an intelligent algorithm, accurate monitoring and risk regulation and control of wound flora are achieved, infection early warning timeliness and monitoring efficiency are improved, and the method is suitable for clinical wound nursing.

The invention discloses a deodorization flora liquid, a natural acquisition method thereof and application of the deodorization flora liquid in rubber primary processing, and belongs to the field of natural rubber processing, and the deodorization flora liquid comprises the steps of bacteria-containing soil sample screening, flora purification, flora stability testing and flora amplification culture. Wherein the bacteria-containing soil sample is from a whey waste dumping place, a secondary glue stacking place or soil which is subjected to whey treatment and has an odorless fermentation phenomenon; deodorizing flora purification comprises the following steps: by using whey waste obtained by rubber processing as a culture medium, removing antagonistic bacteria through multi-generation stable culture, detecting flora stability through high-throughput sequencing, and carrying out standing fermentation culture, so as to obtain a deodorizing flora solution with an efficient deodorizing effect. When being applied to deodorization treatment of rubber primary processing, the strain can obviously reduce the emission of malodorous gas in each production and processing link of natural rubber, has the advantages of wide flora source, simplicity in operation, no need of large-scale equipment and expensive reagents, low cost and the like, is expected to be popularized and applied in rubber primary processing, and realizes green production of natural rubber.

The invention relates to the field of astragalus mongholicus planting, in particular to an astragalus mongholicus rhizosphere flora ecological regulation and control disease prevention system based on nitrogen-phosphorus-potassium combined application, which comprises a nitrogen-phosphorus-potassium combined application module, a rhizosphere flora monitoring module, a flora regulation and control module, a pest and disease damage early warning module and a prevention and control measure module, the nitrogen-phosphorus-potassium combined application module comprises a fertility detection unit, a growth stage evaluation unit, a fertilization scheme making unit and an intelligent fertilization equipment control unit; the fertility detection unit comprises a soil nutrient rapid tester, through mutual cooperation of all the modules, the quality of astragalus membranaceus is improved, use of chemical pesticides is reduced, pesticide residues are reduced, the safety and quality of medicinal materials are guaranteed, ecological balance is enhanced, growth of rhizosphere effective microbial communities is promoted, stability and health of a soil ecological system are maintained, and the prevention and treatment cost is reduced; through precise fertilization and early warning, unnecessary control investment is reduced, sustainable development is achieved, green and sustainable development of astragalus membranaceus planting is achieved, and the ecological environment is protected.

The invention discloses a flora regulation and control method and system for soil micro-ecology, and belongs to the technical field of microbial flora regulation and control, and the method comprises the steps: continuously collecting real-time environment data based on a target soil region, combining future climate prediction data, and generating a predicted scene sequence through Monte Carlo simulation; constructing a microbial community composition table, screening core strains, and performing metagenome sequencing; taking the core strain as a game participant, constructing a participant strategy set, calculating an income matrix library, setting an environment correction coefficient for each scene, carrying out scene-based game solving, and generating a balanced summary table; a regulation response prediction model is constructed, multiple optimization objectives are set, robustness constraints and expert rules are introduced, candidate regulation schemes are generated, optimal scheme solving is carried out, it is ensured that regulation measures can achieve an expected effect by guiding inter-species competition, and original flora balance is prevented from being damaged.

The invention discloses a high-toughness wetland ecological grid structure and a restoration system thereof. The grid structure comprises a plurality of rows of slope fixing grids which extend longitudinally and are arranged at intervals, and the slope fixing grids in the adjacent rows are arranged in a staggered mode; interval zones between the adjacent slope fixing grids form planting base bands which are communicated with each other. The slope fixing grids and the planting base band are made of artificial substrates of a multi-level pore structure, and a plurality of longitudinally-extending artificial waterways are arranged in the planting base band. The staggered ecological grid structure is matched with the wave-shaped artificial waterway to enhance the overall stability and anti-interference capability of the wetland, and the artificial matrix with the multi-level pore structure improves the water retention, filtration and adsorption effects and enhances the hydraulic connectivity of the matrix. According to the remediation system, a grid structure is divided into four planting belts, the remediation system of an arbor-shrub-grass-hygrophilous four-layer three-dimensional community is formed, a functional microorganism-plant combined remediation mechanism is achieved in cooperation with microbial flora, and the remediation adjusting capacity and stability of the wetland are improved.

The invention relates to a method for enriching anaerobic fermentation acid-producing microbial communities, a flora and application of the flora, belonging to the field of biological fermentation. The method comprises an F1 stage, an F2 stage and an F3 stage, and the organic load of the straw is gradually increased in the three stages until the straw is stably operated in the F3 stage. Wherein the stage F1 is a reactor starting stage, and the solid content and the load are low. After the acid production of the F2 is stable, the straw proportion in the material is increased, the C / N ratio is increased, and the material enters the F3 stage, so that the flora adapts to the straw material with the high C / N ratio. According to the method disclosed by the invention, the microbial flora capable of efficiently producing the SCCAs by utilizing the straw material is obtained. The medium-temperature flora and the high-temperature flora can generate SCCAs close to 20 g / L by utilizing the straw with the initial solid content of 5%, and the method has a good application prospect.

The invention discloses a microorganism comprehensive index construction and intelligent prediction method and system for a water treatment process, and the method comprises the steps: obtaining microorganism samples in different types of water treatment biological systems, obtaining a relative abundance matrix through 16S rRNA high-throughput sequencing, and building a deep learning model of a mapping relation between microorganisms and abundance distribution; carrying out system disturbance simulation by utilizing a deep learning model, evaluating the influence of microbial deletion on the community structure and function, and calculating a structure key score and a function key score; the microbial basic indexes and the key microbial derivative indexes are extracted as key microbial comprehensive indexes, and a pollutant removal performance prediction model with the key microbial comprehensive indexes as input is constructed and used for predicting the pollutant removal efficiency of the complex biological treatment process. According to the method, accurate evaluation and performance prediction of the operation states of different types of complex biological treatment processes can be realized, and a scientific basis and a universal method are provided for intelligent regulation and control of flora.

The embodiment of the invention discloses a coprophilous fungus transplantation donor and acceptor dynamic matching method, device and equipment and a medium, and the method comprises the steps: responding to a donor and acceptor matching request, and obtaining the monitoring data of a to-be-matched acceptor after coprophilous fungus transplantation at the current preset sampling time; wherein the monitoring data after coprophilous fungus transplantation is determined on the basis of the coprophilous fungus transplantation operation of a to-be-matched receptor completed by the coprophilous fungus flora of any target donor, and the target donor is determined by performing adaptability matching on the gene feature information, the immune feature information and the clinical feature information of the to-be-matched receptor and a plurality of to-be-selected donors; and inputting monitoring data after coprophilous fungi transplantation into the transplantation strategy control model, outputting at least one of a donor switching strategy and a dose adjustment strategy for adjusting a to-be-matched receptor in a next time period, realizing comprehensive compatibility evaluation through multi-modal data integration, continuously optimizing a treatment scheme by means of a dynamic feedback mechanism, and improving the compatibility of the to-be-matched receptor. And the accuracy and adaptability of coprophilous fungus transplantation treatment are remarkably improved.

The invention discloses a novel method for food allergy intestinal flora target mining, and belongs to the technical field of target mining. The new method comprises the following steps: acquiring whole genome associated GWAS data and intestinal flora related data of food allergy; performing tool variable screening and multi-effect removal on the collected data; according to the collected tool variables, analyzing the data by adopting a bidirectional Mendel randomization method to obtain a preliminary screening result of the causal flora; the preliminary screening result is analyzed, and candidate tool variables are obtained by integrating effect values of multiple analysis methods and judgment of sensitivity analysis; establishing a food allergy animal model; carrying out targeted determination on the screened related flora having a causal relationship with food allergy by adopting a microbiological analysis method; and the active small molecules act on the target flora to determine the reliability of the active small molecules as the food allergy target. According to the method, the intestinal flora and the target flora of food allergy can be determined.

The intestinal flora collector comprises a collection mechanism used for collecting flora, the collection mechanism comprises a mirror tube, a sampling hole is formed in the lower end of the mirror tube, a plurality of LED lamps and a camera are installed at the edge of the outer side of the sampling hole, the lower end of the mirror tube is rotationally connected with an electric drive cover, and the electric drive cover is connected with a power source. A sampling hole is formed in the upper end of the base, a sampling column is slidably connected into the sampling hole, two matched arc-shaped collectors are rotatably connected to the lower end of the sampling column, a cavity is formed in the sampling column, two rotating shafts are rotatably connected into the cavity and are in transmission connection through a first gear set, and unfolding wheels are coaxially and fixedly connected to the outsides of the two rotating shafts; an unfolding line is wound outside the unfolding wheel, and the end, away from the unfolding wheel, of the unfolding line penetrates through the collecting column in a sliding mode and is fixedly connected with the two arc-shaped collectors. According to the invention, the bacterial flora is not polluted by other microorganisms during collection, and the biological activity and stability of the bacterial flora are maintained during preservation of the bacterial flora.

The invention discloses a method for biologically repairing soil by using crude oil degrading fungi, and belongs to the technical field of microorganisms and biology. The method comprises the following steps: step 1, directionally screening strains of the crude oil degrading fungi; step 2, function enhancement of the screened strains; 3, preparing a repair carrier; and 4, carrying out gradient process and composite flora synergistic remediation. According to the method, indigenous fungi are screened and separated in a crude oil pollution area, the screened strains are subjected to adaptive laboratory evolution, the degradation capacity and the environmental endurance capacity are enhanced, a preparation process of composite microspheres is combined, adsorption-degradation efficient remediation of crude oil pollution is achieved, and a gradient process and other biological methods are used for cooperating remediation measures; the remediation effect is further enhanced, the natural ecological environment is stably restored, secondary pollution in the remediation process is avoided, and the risk of ecological pollution is reduced.

The invention relates to the technical field of agricultural microorganisms, in particular to trichoderma asperellum and application thereof. The Trichoderma asperellum disclosed by the invention is preserved in the China Center for Type Culture Collection on October 25, 2023, and the preservation number of the Trichoderma asperellum is CCTCC (China Center for Type Culture Collection) NO: M20232021. The trichoderma asperellum provided by the invention has a relatively strong inhibition effect on onion specialized fusarium oxysporum, and has a good prevention and treatment effect on onion root rot; the fertilizer has strong salt and alkali resistance, can promote growth of onions under a salinization condition, improve growth traits and fruit quality of the onions, increase the yield of the onions, improve physicochemical properties of salinized soil and change abundance of microflora of the soil; in addition, the disinfectant is safe and convenient to use, non-toxic, harmless, non-corrosive, harmless to human, livestock, animals and plants, free of environmental pollution and ecological in safety.

The invention relates to the technical field of medicines, and discloses an application of a traditional Chinese medicine composition in a humanized flora transplantation model.The application comprises the following steps that an experimental body is pretreated through sterile feeding or broad-spectrum antibiotics, then coprophilous fungus suspension of a functional dyspepsia patient is transplanted, and the humanized flora transplantation model is constructed; acquiring physiological data of the humanized flora transplantation model, and performing intervention on the traditional Chinese medicine composition after the humanized flora transplantation model is completed; acquiring physiological data of the traditional Chinese medicine composition intervened humanized flora transplantation model, and analyzing an evaluation result of the traditional Chinese medicine composition intervened humanized flora transplantation model by combining the evaluation parameters of the humanized flora transplantation model. The bottleneck that the traditional animal model is greatly different from the human microflora and the curative effect and the mechanism are difficult to transform is overcome, so that the research result is closer to the clinical practice, and the molecular mechanism of the traditional Chinese medicine composition is reliably revealed.

The invention discloses a method for carrying out various machine learning modeling by utilizing global public data to construct a synthetic flora with broad-spectrum adaptability, and the constructed and simplified synthetic flora is composed of three strains of bacteria, namely, Pseudomonas putida YDTA3, Pseudomonas putida PPF1 and Snotrophomonas sp. Syn-C. The invention also discloses a method for constructing the synthetic flora with broad-spectrum adaptability, and the constructed and simplified synthetic flora is composed of three strains of bacteria, namely Pseudomonas putida YDTA3, Pseudomonas putida PPF1 and Snotrophomonas sp. Syn-C. Compared with a single bacterium, the synthetic flora constructed by the invention has higher environmental adaptability, and the strain for constructing the synthetic flora is irreplaceable and unique. After the synthetic flora is added to the rhizosphere of the continuous cropping tomato, the pathogenicity of pathogenic bacteria is inhibited, so that the morbidity of the bacterial wilt of the continuous cropping tomato is remarkably reduced.

The invention discloses a grouting anchor rod suitable for microorganism induced mineralization reinforcement and an application method of the grouting anchor rod. The grouting anchor rod comprises a sleeve, an anchor head, a hollow stop-grouting plug, an arch-shaped base plate and a nut, and the anchor head is detachably installed at the anchoring end of the sleeve. Through combination of the sleeve and the hollow anchor rod, grouting channels which work independently and do not interfere with each other are formed, grouting materials and biological nutrient solutions containing urease-producing flora are injected into drill holes, pore water around anchor holes and the injected nutrient solutions are used for inducing calcium carbonate to precipitate in an anchoring area, CaCO3 crystals are deposited on an anchoring interface, and the anchoring effect is achieved. Pores are filled, the bonding strength of slurry and rock soil is improved, an anchoring layer is effectively prevented from being stripped, and the interface bonding performance is enhanced; a microorganism induced mineralization technology and an anchor rod physical reinforcement system are combined, and structure-biology-environment multi-scale collaborative reinforcement is achieved; and macrostructure stability and microcosmic particle consolidation are unified, and the enhanced, lasting, stable and eco-friendly slope supporting effect is achieved.

The invention relates to the technical field of biologic stimulant preparation, and discloses a biologic stimulant mixing preparation two-stage control method, which comprises: adopting dissolved oxygen gradient and carbon source pulse cooperative control, linearly reducing the concentration of dissolved oxygen in a fermentation tank from an initial value at a specific rate, and injecting a carbon source at regular time; when the flora density and the quorum sensing signal molecule concentration reach specific threshold values, triggering stage switching; starting pressure-metabolism coupling control, increasing the pressure of the fermentation tank at a specific rate, and adding coenzyme Q10; the quorum sensing inhibitory peptide containing a specific core structure is synchronously released in the boosting process; after the pressure is stable, a real-time mapping relation between a microbial metabolism state and physical parameters is constructed in a thallus proliferation stage through a coupling mechanism of dissolved oxygen gradient control and quorum sensing signal monitoring, and the industrial problem that a traditional static threshold value cannot respond to pressure fluctuation of a fermentation tank to cause signal attenuation is solved.

The invention discloses a probiotic mulberry leaf and camellia nitidissima production data tracing and management method and system, and relates to the technical field of probiotic mulberry leaf and camellia nitidissima data management, and the method comprises the steps: S1, collecting probiotic mulberry leaf and camellia nitidissima data, carrying out the feature layering processing, and sending all data into a flora information integration database; s2, establishing a quality trend prediction model, predicting batch future flora activity, and judging whether flora batch information is directly matched through raw material data or not, if yes, directly running S4, and if not, running S3; s3, preparing an information compensation mechanism, and calculating batch comprehensive similarity by carrying fermentation dynamic fingerprints and combining flora activity to obtain flora standby batch information; and S4, extracting all production lines of the problem batch, and matching the optimal process parameter combination according to the predicted activity value. According to the method, the problem of incapability of tracing due to incomplete data or wrong information matching possibly caused by excessive flora change trend is solved.

The invention belongs to the technical field of microorganisms, and particularly provides a method for constructing an intestinal microorganism in-vitro simulation system, which comprises the following steps: taking cecum contents, uniformly mixing, inoculating into an anaerobic fermentation tank for fermentation, and controlling the addition speed of a culture medium; the pH is controlled to be 6.0-7.0 during fermentation, and fermentation is performed for 1-7 days to obtain fermentation liquor containing intestinal microorganisms. According to the method for constructing the intestinal microorganism in-vitro simulation system provided by the invention, the dominant flora in the fermentation liquor is basically consistent with the original flora of cecum, the dominant flora of the original flora in the body can be reduced to a certain extent, the dynamic change of the intestinal microorganisms can be simulated in vitro, and the method is easy to standardize, simple to operate, low in cost and suitable for popularization and application. The method is suitable for evaluating the interaction effect of the exogenously added microecologics and the intestinal microorganisms, does not depend on hosts, is less influenced by individual differences of the hosts, and is an effective supplement for animal experiments.

The invention relates to the technical field of gene SNP molecular markers, in particular to a gene SNP molecular marker method and system for watermelon breeding, and the method comprises the following steps: respectively extracting DNA solutions of watermelon samples of a plurality of varieties, and performing fingerprint construction based on SNP typing; the method comprises the following steps: acquiring a 16S rRNA sequence of each watermelon flora, and dividing each 16S rRNA sequence into each base sequence; determining mutation associated parameters of each basic group; obtaining a transition probability matrix of each 16S rRNA sequence; correcting the sampling step length of each 16S rRNA sequence; the transition probability matrix is corrected; determining a feature vector of each 16S rRNA sequence; the genetic distance between the watermelon flora and the 16S rRNA sequence of the soil sample is determined, a phylogenetic tree is constructed, and the strongly correlated flora of the breeding environment of each variety of watermelon samples is determined. Therefore, the suitability of the watermelon breeding environment is improved.

The invention discloses an image processing-based tongue swab sample fluorescence detection method for Mycobacterium tuberculosis, and relates to the technical field of image processing, the image processing-based tongue swab sample fluorescence detection method comprises a flora monitoring module, an image analysis module and a concentration determination module, the flora monitoring module is used for identifying a flora culture solution and monitoring flora on the flora culture solution in real time, and the concentration determination module is used for determining the concentration of Mycobacterium tuberculosis; the image analysis module is used for carrying out straight division processing and flora contour fitting on a shot image, and the concentration determination module is used for analyzing the flora size, the shape and the life cycle of mycobacteria in image data to carry out targeted fluorescent agent concentration adjustment on florae with different growth conditions. The flora monitoring module comprises an image monitoring unit and a flora culture solution recognition module, the image monitoring unit is electrically connected with the flora culture solution recognition module and the flora recognition module, and the flora culture solution recognition module is electrically connected with the flora recognition module.

The invention discloses a flora for producing a surfactant through anaerobic hydrocarbon decomposition and application of the flora, and relates to the field of oil and gas resource exploitation. The flora synergistically degrades petroleum hydrocarbon and generates a surfactant through various bacteria and fungi under an anaerobic condition. The flora can grow by taking crude oil or hexadecane as a sole carbon source under an anaerobic condition and produce surface active substances, the anaerobic degradation rate of the crude oil reaches 20-55%, and the surface tension of an anaerobic culture solution can be reduced to 30.0-40.0 mN / m. The flora disclosed by the invention is high in anaerobic degradation rate on petroleum hydrocarbon and stable in activity, can generate a surfactant, and has an application value in the field of oil and gas resource exploitation.

The invention discloses a micro-ecological flora in-situ screening and anaerobic acid production enrichment method and device based on selective metal ion removal, belongs to the field of anaerobic treatment of high-concentration organic wastes, and solves the problems of coordinating the flora relationship of the organic wastes and improving the enrichment efficiency of anaerobic produced short-chain fatty acids. The method comprises the following steps: gradually removing soluble Fe, Co, Ni, Mg and Ca in an exchangeable state and a carbonate binding state from organic wastes by using a filler loaded with chelating groups, creating a multivalent metal ion deficiency environment, and stresses the evolution of a micro-ecosystem by using the selectivity dependence difference of acid-producing fermentation flora and methanogenic flora on metal ions, so as to achieve the purpose of improving the yield of the organic wastes. The interaction relationship between the multivalent metal and the acidogenic fermentation flora and methanogenic flora is regulated and controlled, the flora screening effect is exerted, the acidogenic fermentation flora is enriched, the methanogenic flora is inhibited, and the acidogenic fermentation flora is promoted to become dominant bacteria for mass propagation and proliferation, so that the acidogenic reaction is improved and the methanogenic reaction is inhibited; the efficiency improvement and the lossless enrichment of anaerobic acid production of the high-concentration organic waste are realized.

The invention discloses a multi-species mutualism-based mussel and fish polyculture ecological regulation and control method, and relates to the technical field of ecological culture, and the method comprises the following steps: S1, facility preparation; s2, putting species; s3, breeding regulation and control; s4, feeding control; and S5, performing final-period management. Through strict screening of the culture pond, thorough disinfection and scientific cultivation of water quality, an excellent starting end is created for culture, the disease risk is reduced, beneficial microbial communities enhance the self-cleaning capacity of a water body, the feeding quantity and proportion are accurately calculated, the ecological capacity is fully utilized, the fingerlings are reasonably matched, stable operation of an ecological system is guaranteed, and the ecological system is more intelligent and reliable through real-time monitoring and intelligent prediction. The feeding amount and the water changing frequency are adjusted in time, the water quality is effectively maintained, the breeding loss caused by water quality deterioration is reduced, grass carp feeding is adjusted according to the aquatic plant coverage rate, reasonable growth of aquatic plants is maintained, ecological balance is promoted, the win-win situation of ecological benefits and economic benefits is achieved, and an effective mode is provided for sustainable aquaculture.