925 results about "Crop yield" patented technology

The invention discloses a planting optimization method and system based on crop yield estimation in a saline-alkali land area, and relates to the field of crop yield prediction and planting optimization, and the method comprises the steps: data collection and fusion processing; performing dynamic prediction on soil water and salt migration, and realizing water and salt space-time distribution prediction by adopting a space-time cubic modeling self-adaptive model combined with physical correction; crop salt tolerance modeling: establishing a multi-interval salt tolerance model based on physiological response fitting and threshold segmentation, and introducing covariable correction; carrying out migration salt tolerance coupling modeling, introducing a salinity memory factor and a stage sensitivity regulation factor, and dynamically simulating growth response of crops under salinity stress; and crop yield estimation and planting optimization: generating a regional yield prediction and sowing configuration scheme based on coupling model output, and forming an optimization strategy in combination with measures such as irrigation and fertilization. According to the method, model-driven integrated optimization from yield estimation to planting decision of crops in the saline-alkali region is realized, and the method has high precision and wide applicability.

The invention discloses an intelligent water and fertilizer integrated irrigation system based on an Internet of Things sensor and a large language model, and relates to the technical field of intelligent agriculture. The system obtains soil, weather and plant growth state data in real time through Internet of Things sensors, including a soil sensor, a weather sensor and a multispectral sensor, deployed in a farmland; the method comprises the following steps: based on a large language model architecture, integrating preset agricultural field knowledge base data, performing field adaptive fine tuning on model parameters by adopting a data migration technology, and constructing an intelligent irrigation control model with a dynamic decision-making function; the control model analyzes sensor data and crop growth requirements, generates a water and fertilizer supply strategy, calls an internet-of-things control interface of the water and fertilizer all-in-one machine, and automatically adjusts irrigation water quantity and proportional supply of nutrient elements such as nitrogen, phosphorus and potassium. According to the invention, Internet of Things perception and large model decision are fused, and different environments are adapted through fine adjustment, so that closed-loop precise control is realized, and the water and fertilizer utilization rate and the crop yield are remarkably improved. Actual measurement shows that the system can improve the water and fertilizer utilization rate by 30% or above, and the crop yield is increased by 15-20%.

The invention relates to the field of crop cultivation, and particularly discloses a multi-crop interplanting method with a high land utilization rate. According to the method, a multi-crop interplanting land distribution scheme is designed on the basis of user planting requirements, planting molds are built on land parcels with serious soil problems, and the planting molds are filled with crop growth supporting materials to serve as planting soil; planters can interplant various crops in the planting soil according to a multi-crop interplanting land distribution scheme, crops with serious soil-borne diseases, such as solanaceae or medicinal materials, can be planted on the same land for many years, planting can be carried out in land parcels with serious soil problems, the land utilization efficiency is improved, and the planting cost is reduced. The crop yield per unit land area can be increased in an interplanting mode, land resources are fully utilized, meanwhile, the planting production cost is reduced, and the economic output per unit area is increased.

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

The invention relates to the crossing field of agricultural intelligent algorithms and intelligent equipment technologies, in particular to an environment regulation and control model algorithm and algorithm model platform fusing crop physiology. According to the model algorithm, through four-step calculation of spatio-temporal heterogeneity adaptation, multi-source data dynamic coupling, stress self-adaptive adjustment and self-learning iterative optimization, a partition precise regulation and control decision value is generated; the algorithm model platform comprises a data acquisition layer (a partition sensor and a multi-source interface), a feature processing layer (a three-dimensional feature library and data preprocessing), a model algorithm layer (deploying the model algorithm) and a platform application layer (partition regulation and control and closed loop feedback), and full-link cooperation of algorithm calculation, platform execution, effect feedback and algorithm iteration is achieved. The crop yield is increased by 15-20%, water resources are saved by 25-30%, and the method is suitable for multi-crop facility agriculture scenes.

The present disclosure provides agronomically stable liquid agricultural compositions, methods of formulation thereof, and methods of application thereof. The agricultural compositions comprise nitrogen-fixing microorganisms and one or more of a buffering agent, a microbial stabilizer, and a physical stabilizer. The disclosed liquid agricultural compositions have a longer shelf life and greater ease of application than other existing dry and liquid formulations. The disclosed liquid agricultural compositions are stable for a period of thirty days or longer with low toxin accumulation and high microbial stability. The compositions are suitable for use on agricultural plant tissues or the environs thereof for providing a source of fixed atmospheric nitrogen to the agricultural plant. The compositions are used to increase crop yield and decrease yield variance.

The present application provides a kind of active helical pushing type gap straw cleaning wheel for straw returning, including active blade rotating shaft, right helical gap blade group and left helical gap blade group, and gap blade group includes multiple helical gap blades.The intersection of right helical gap blade and left helical gap blade is fixed together, and symmetric to each other.Gap blade group is fixed with active blade rotating shaft, and helical blade contacts soil during operation, and pushes straw on soil to both sides, and the size of helical gap blade outer diameter and the rotating speed of active blade rotating shaft are changed to improve the returning efficiency of straw.The gap depth of helical gap blade is consistent and staggered, to improve the quality of sowing belt straw cleaning, form a more clean sowing belt, and the soil driven by blade can flow out of the gap to reduce the amount of soil.The present application efficiently cleans the straw on sowing belt under the premise of minimizing the amount of soil, improves the quality of no-tillage seeding, and is beneficial to crop yield increase.

The invention relates to the technical field of agricultural information, in particular to a crop yield prediction method, a verification method, a computer system and a readable storage medium. Standardized moisture productivity, a crop coefficient before canopy aging, a harvest index, a maximum canopy coverage degree, a canopy growth coefficient, a canopy attenuation coefficient, a minimum rooting length and a maximum rooting length are selected as analysis parameters, and the main effect of crop model parameters is quantified through a first-order sensitivity index. The interaction effect of crop model parameters is quantified through the global sensitivity index, and the complexity of a parameter system is reduced; a differentiation calibration strategy is constructed based on sensitivity grading, a traditional all-parameter parameter adjustment mode is replaced, and the complexity of a parameter system is remarkably reduced. The objective of the invention is to solve the problem of how to improve the crop yield prediction precision of a crop model in a climate-variable region.

The invention discloses a greenhouse environment dynamic optimization regulation and control system and method based on Internet of Things and big data, and belongs to the technical field of agricultural Internet of Things. The system comprises an Internet of Things sensing layer, a data transmission layer, a big data platform layer, a control execution layer and a user interaction layer. The sensing layer collects environment, crop and equipment data and uploads the environment, crop and equipment data to the big data platform through the transmission layer, the platform generates dynamic regulation and control parameters through a crop model library and an intelligent decision engine (fusing LSTM prediction and particle swarm optimization), the control execution layer drives equipment to execute, and the model is iteratively optimized through feedback data. According to the invention, greenhouse environment multi-factor cooperative regulation and control and crop whole growth cycle dynamic adaptation are realized, the problems of low precision, high energy consumption and poor adaptability of traditional regulation and control are solved, the crop yield and quality can be obviously improved, the energy consumption is reduced, and the method is suitable for various facility agricultural greenhouses.

The invention provides a trichoderma maple fungicide, a microbial granular fertilizer as well as a preparation method and application of the trichoderma maple fungicide and the microbial granular fertilizer, and relates to the field of microorganisms. The acer rubrum fungicide contains acer rubrum RA with the preservation number of CGMCC No.35889. The acer rubrum fungicide has the capability of decomposing inorganic phosphorus, is wide in phosphorus dissolving range, can decompose tricalcium phosphate, ferric phosphate and aluminum phosphate, and particularly still has the very strong capability of decomposing the inorganic phosphorus under the low-temperature condition; the strain has the capability of producing siderophore and IAA at low temperature; the strain has an inhibition effect on various pathogenic bacteria causing field crop diseases. The microbial granular fertilizer provided by the invention contains various biostimulant substances, can promote crop growth, improve plant stress resistance and improve plant resistance to plant diseases and insect pests, and field tests prove that the microbial granular fertilizer can significantly promote crop growth and improve crop yield.

The invention provides a moniliella malayi and a fungicide and application thereof, and relates to the field of microorganisms. The acer rubrum is specifically acer rubrum RA, and the preservation number of the acer rubrum RA is CGMCC (China General Microbiological Culture Collection Center) No.35889. The acer rubrum RA can be used for preparing the acer rubrum. The strain has the capability of decomposing inorganic phosphorus, is wide in phosphorus-dissolving range, can decompose tricalcium phosphate, iron phosphate and aluminum phosphate, and particularly still has very strong capability of decomposing inorganic phosphorus under a low-temperature condition; the strain has the capability of producing siderophore and IAA at low temperature; the strain has an inhibition effect on various pathogenic bacteria causing field crop diseases, and can inhibit diseases such as corn root rot, sorghum leaf spot or wheat root rot; the strain can be colonized in a soil environment of 5-40 DEG C, a microbial inoculum prepared from the strain can promote crop growth, the crop yield is remarkably improved, and high yield can be achieved even if the usage amount of phosphate fertilizer is reduced.

The invention relates to the technical field of automatic control, in particular to a depth control system and method for a seeder in a hilly and mountainous area, and the system comprises a visual module which is configured to collect a visual image of a to-be-sown area according to a first preset frequency; a data processing module configured to: convert the visual image into a depth map using an image processing model; performing gridding processing on the visual image; for each column of grids, determining at least one piece of target surface elevation data corresponding to the grid based on the depth map; determining at least one first adjustment instruction based on the preset seeding depth and the at least one piece of target surface elevation data; and the control instruction output module is configured to issue at least one first adjusting instruction corresponding to each column of grids to the corresponding depth limiting adjusting mechanism. According to the system, independent and accurate control over the ditching depth of each ditcher can be achieved through the visual preview and intelligent control technology, so that the seedling emergence uniformity and the crop yield are improved.

The invention belongs to the technical field of biological mineral fertilizers, and particularly relates to a microbial liquid complex microbial inoculant with coal gangue activation and heavy metal treatment functions and a biological mineral fertilizer. The microbial liquid complex microbial inoculant is prepared from the following functional strains by using electrochemical low-Hertz water through sequential inoculation and fermentation in three stages: repair bacteria pseudomonas putida, nitrogen-fixing bacteria azotobacter chroococcum, growth-promoting bacteria azotobacter braziliensis, phosphate solubilizing bacteria pseudomonas fluorescens, biocontrol bacteria bacillus subtilis and potassium bacteria bacillus mucilaginosus. The silicolytic bacteria are bacillus megatherium; and the synergistic bacteria are trichoderma asperellum. The biological mineral fertilizer is prepared by using the microbial liquid complex microbial inoculant and using coal gangue powder as a main raw material. The scientific compatibility of different strains provided by the invention realizes the efficient improvement of the heavy metal polluted land and the yield increase of crops, changes the coal gangue into valuables, solves the problem of pollution caused by the accumulation of a large amount of coal gangue, and has important economic and social values.

The invention belongs to the technical field of microorganisms and biological control, and particularly relates to paenibacillus polymyxa and application thereof in biocontrol and growth promotion. Specifically, a strain of paenibacillus polymyxa GLZ219 is obtained through screening, and experiments prove that the paenibacillus polymyxa GLZ219 has a relatively high bacteriostasis rate on pathogenic bacteria of tomato neck and root rot; meanwhile, the strain has a good antagonistic effect on nine common plant pathogens such as Rhizoctonia solani and the like, and can be widely applied to green prevention and control of various crop diseases. Besides, the paenibacillus polymyxa GLZ219 has nitrogen fixing and potassium dissolving capabilities, can secrete heteroauxin and siderophores, and can effectively promote the growth of tomato plants, the plant height of tomato seedlings treated by fermentation liquor of the paenibacillus polymyxa GLZ219 is remarkably increased, diseases can be prevented and controlled, the growth vigor of crops can be improved, the yield and quality of the crops can be improved, and the paenibacillus polymyxa GLZ219 has a wide application prospect.

The invention discloses an element liquid fertilizer for promoting nutrient absorption and a preparation method thereof, and belongs to the technical field of fertilizers. Comprising monoammonium phosphate; urea; potassium nitrate; cake fertilizer leach liquor; trace elements; a wetting agent; a stabilizer; a biological agent; an adsorbent; deionized water; the preparation method of the adsorbent comprises the following steps: A1, taking loofah sponge powder, and removing lignin and hemicellulose to obtain loofah sponge cellulose powder; a2, mixing the loofah sponge cellulose powder, deionized water, a chitosan solution and plant ash, mechanically pulping uniformly, performing vacuum freeze-drying treatment to form holes, crushing and grinding to obtain the adsorbent, root development can be promoted, elongation and thickening of stems are promoted, the photosynthetic rate of plants is increased, and the crop yield is increased.

The invention discloses plant probiotics with water retention, growth promotion and disease resistance effects and application thereof. The invention provides a complex microbial inoculant, which is prepared from the following active ingredients: 1) bacillus tequilensis Bac365 (GDMCC No: 65241), 2) microbacterium azadirachta Mic250 (GDMCC No: 65244), and 3) Enterococcus querebrasis Ent274 (GDMCC No: 65242) or Pseudomonas plecoglossa Pse350 (GDMCC No: 65243), and the active ingredients of the complex microbial inoculant are as follows: 1) bacillus tequilensis Bac365 (GDMCC No: 65243), 2) microbacterium azadirachta Mic250 (GDMCC No: 65244), and 3) the active ingredients of the complex microbial inoculant. The strain provided by the invention has good nitrogen fixation, phosphorus dissolution, IAA production, HA production and disease resistance, can effectively increase the utilization efficiency of water in drought soil, significantly promote plant growth and increase crop yield, and has good application prospects in the aspects of water retention and sand stabilization, agricultural production and the like.

The invention belongs to the technical field of agricultural cultivation, and particularly relates to a film-mulching shallow-burying drip irrigation planting method. The film mulching, shallow burying and drip irrigation planting method comprises the following steps: a preparation stage before sowing; sowing the seeds; performing irrigation; the soil moisture content of the crop planting area is monitored in real time; meanwhile, the evapotranspiration amount of the crop planting area is monitored in real time; when the monitored soil moisture content is lower than 64%-66% of the field water holding rate before sowing and the evapotranspiration reaches the irrigation requirement standard, an irrigation system is started for drip irrigation. According to the film-mulching shallow-burying drip irrigation planting method, through accurate control over water and fertilizer integration, the water resource utilization rate and the crop yield are remarkably increased, meanwhile, environmental friendliness is achieved, and the labor cost is effectively reduced.

Protecting open seed trenches from ingress of foreign material, such as plant residue. Preventing foreign material from entering the open seed trench during planting increases crop yield by minimizing delayed germination and late plant emergence. Various implementations of adjustable row cleaners may be used to prevent ingress of foreign material. Also, various shields may be disposed on the row units of a planter to prevent ingress of foreign material.

The invention discloses a lolium perenne seedling returning nitrogen reduction amount regulation and control method based on soil multifunctional evaluation, and relates to the technical field of agricultural planting.According to the method, a closed-loop dynamic regulation and control system is constructed, aiming at the soil characteristic difference after lolium perenne seedlings are returned to the field, precise and personalized management of the application amount of nitrogen fertilizer is achieved, and the application amount of nitrogen fertilizer is improved. According to the method, the nitrogen fertilizer compensation amount is dynamically adjusted according to the soil multifunctionality real-time evaluation result of the key growth stage of crops, and the yield fluctuation caused by blind reduction of application is effectively avoided, so that the stability and improvement of the crop yield are ensured while the chemical nitrogen fertilizer input is remarkably reduced, and the economic benefit is increased. The technical scheme that physical, chemical and biological indexes of soil are comprehensively evaluated in the key growth stage of crops, and the nitrogen fertilizer correction amount is dynamically calculated based on the deviation between the evaluation result and the target function range is adopted, so that the accurate regulation and control of the nitrogen fertilizer application amount can be realized; therefore, the stable yield of crops is guaranteed and the soil health level is continuously improved while the application of chemical nitrogen fertilizer is reduced.

The invention discloses a bactericidal composition containing WML-01 and a triazole compound, and is characterized in that the bactericidal composition is composed of the WML-01 and the triazole compound, and the mass ratio of the WML-01 to the triazole compound is (10: 1)-(1: 10). The bactericidal composition taking the WML-01 and the triazole medicament as effective components has a synergistic effect on prevention and treatment of rice bakanae disease, wheat stem rot, wheat scab, plant root rot and sclerotinia rot of colza, can effectively improve the disease prevention and treatment effect, reduces the pesticide consumption, delays the occurrence of drug resistance, improves the crop yield, and has a good application prospect. The method is safe, effective and economical, and has a wide market application prospect.

According to the high-temperature-resistant nitrogen-fixing bacteria microcapsule fertilizer and the preparation method thereof, aiming at the problems of thallus inactivation and nutrient loss in a high-temperature environment, a sodium alginate-chitosan double-layer embedding technology is combined with magnetic nanoparticle modification, and a stable double-layer structure is formed by optimizing the ratio of an embedding material, so that the high-temperature-resistant nitrogen-fixing bacteria microcapsule fertilizer is prepared. The survival rate and activity of the nitrogen-fixing bacteria at high temperature are remarkably improved, and meanwhile, the functions of intelligent nutrient release and magnetic recovery are achieved. The fertilizer is prepared from composite microcapsules, amino acid, humic acid and other raw materials according to a specific ratio through magnetic field orientation treatment, multi-stage mixing, atomization granulation and magnetic field screening processes, the particle size is controlled to be 0.5-3.35 mm, and the shelf life is prolonged to 12 months. The method has the technical effects that trehalose-glycerol / sorbitol synergistically forms a glassy protective film to maintain the stability of thalli, gamma-aminobutyric acid activates nitrogenase gene expression, magnetic nanoparticles construct a photosynthetic symbiotic system to optimize rhizosphere oxygen supply, and silanized FeO nanoparticles fix heavy metal ions through electrostatic adsorption, so that the heavy metal ions in the thalli are effectively adsorbed, and the heavy metal ions in the thalli are effectively adsorbed. And the humic acid buffers the pH fluctuation of the soil, so that the nitrogen fixation efficiency is finally improved by 30-50%, and the crop yield is increased by 15-25%.

The invention discloses a humic acid type biological organic fertilizer and a preparation method thereof, and belongs to the technical field of agricultural biologication.The fertilizer is prepared from weathered coal humic acid raw powder, seaweed processing residues and insect manure as main raw materials. The soil conditioner is prepared by adding a compound microbial agent, a mineral synergist, an enzyme preparation, a coating material, a soil structure regulator, a signal molecule inducer, a trace rare earth element additive, a stabilizer and the like in a specific ratio and adopting a two-step fermentation process. The fertilizer disclosed by the invention has remarkable functions of soil improvement, nutrient slow release, microbial community regulation and control, crop stress resistance enhancement and the like, remarkably improves the yield and quality of crops, reduces the use of chemical fertilizers, promotes agricultural sustainable development, and has remarkable economic and ecological benefits.

The present disclosure provides guided microbial remodeling (GMR) methods for the rational improvement of plant-associated microbes to perform plant-beneficial functions. The GMR methods described herein allow for non-intergeneric genetic optimization of key regulatory networks within the microbes, which improve plant-beneficial functions over wild-type microbes but don't have the risks associated with transgenic approaches (e.g., unpredictable gene function, public and regulatory concerns, etc.). The present disclosure also provides remodeled microbes and compositions thereof. The utilization of remodeled microbes and compositions thereof will enable farmers to realize more productive and predictable crop yields without the nutrient degradation, leaching, or toxic runoff associated with traditional synthetically derived fertilizers.

The invention discloses an intelligent drip irrigation control system based on soil moisture content real-time monitoring, and relates to the technical field of agricultural irrigation, and the system comprises a soil moisture content environment collection module which collects and transmits soil moisture and environment parameters through a sensor; the soil moisture content analysis module receives the data, constructs a matrix analysis rule, excavates relevance and predicts an irrigation leakage risk; the irrigation strategy making module generates a comprehensive decision instruction accordingly; the irrigation parameter adjustment module optimizes the parameters to form a control instruction; the irrigation execution feedback module drives the equipment to work and feeds back a result after completion; according to the integrated sensor, real-time accurate monitoring of soil moisture and environmental parameters is achieved, a soil moisture content spatial-temporal distribution matrix is constructed, relevance and rules are mined in combination with an algorithm, differential irrigation instructions are generated, irrigation efficiency is improved, and crop yield and quality improvement is promoted; meanwhile, a dynamic optimization algorithm is introduced to calibrate parameters, and waste and pollution are avoided and the risk of crop damage is reduced through quick response and collaborative irrigation of a leakage irrigation compensation strategy.

The present disclosure provides non-intergeneric remodeled microbes that are able to fix atmospheric nitrogen and deliver such to plants in a targeted, efficient, and environmentally sustainable manner. The utilization of the taught microbial products will enable farmers to realize more productive and predictable crop yields without the nutrient degradation, leaching, or toxic runoff associated with traditional synthetically derived nitrogen fertilizer. The remodeled microbes taught herein are able to be combined with leading agricultural chemistry and elite germplasm. Furthermore, the disclosure provides seed treatments comprising remodeled microbes.

The invention discloses a crop yield prediction method based on remote sensing inversion, and the method comprises the steps: obtaining historical remote sensing image data and historical ground actual measurement data, and building a standard value library based on the historical crop yield data, the vegetation features of different crops, and the linear relation between the vegetation features in the same year and the crop yield data; constructing a crop yield estimation model, and training the crop yield estimation model to obtain a trained crop yield estimation model; obtaining current-year remote sensing image data, and inputting vegetation features obtained by the current-year remote sensing image data into the trained crop yield estimation model to obtain a preliminary yield estimation value; and obtaining agricultural meteorological data of the current year, correcting the preliminary yield estimation value according to the agricultural meteorological data, and obtaining a target yield estimation value, thereby being beneficial to improving the precision of crop yield estimation.

The invention relates to the technical field of agricultural planting management, in particular to a crop precise planting decision system based on multi-modal data fusion and artificial intelligence, which comprises a multi-modal data acquisition module, a data fusion and processing module, an artificial intelligence decision engine, a strategy execution module and a self-learning optimization module, the multi-modal data acquisition module acquires environmental crop farming data; the data fusion and processing module generates a fusion data set with unified space-time labels and establishes a plant electronic file; the artificial intelligence decision engine simulates growth through a crop growth digital twinborn model, intelligently diagnoses deviation and generates a precise decision; the strategy execution module drives the automation equipment to execute a decision; the self-learning optimization module is based on a feedback iterative optimization model and an agronomic rule base. The method improves the decision scientificity and precision, reduces the resource waste, guarantees the crop yield and quality, is suitable for different planting scenes, and meets the precise and large-scale planting demands.

The invention provides a crop yield estimation method and device, electronic equipment and a storage medium, and relates to the technical field of agricultural information technology, remote sensing monitoring and artificial intelligence crossing, and the method comprises the steps: carrying out VOD space-time fusion processing based on multi-source microwave remote sensing data through a VOD space-time fusion model, and obtaining VOD fusion data; simulating crop growth based on the environment data and the crop planting data through a target crop growth model to obtain crop physiological process data; constructing multi-source feature data based on the VOD fusion data, the crop physiological process data and the environmental data; and through a double-flow space-time deep learning model, carrying out space-time feature extraction and fusion on the multi-source feature data to obtain a biomass estimated value, and further calculating a crop yield estimated value. According to the method, the crop yield is estimated based on fusion of the multi-source microwave remote sensing data, the crop growth model and the deep learning model, the restriction of a single technical normal form is broken through, and the accuracy of an estimation result can be improved.

The present disclosure provides non-intergeneric remodeled microbes that are able to fix atmostpheric nitrogen and deliver such to plants in a targeted, efficient, and environmentally sustainable manner. The utilization of the taught microbial products will enable farmers to realize more productive and predictable crop yields without the nutrient degradation, leaching, or toxic runoff associated with traditional synthetically derived nitrogen fertilizer. The remodeled microbes taught herein are able to be combined with leading agricultural chemistry and elite germplasm. Furthermore, the disclosure provides seed treatments comprising remodeled microbes.

The invention relates to a compound microorganism bacterium agent which comprises halophilous bacillus HMF09 and bacillus subtilis, and the preservation number of the halophilous bacillus HMF09 is CGMCC (China General Microbiological Culture Collection Center) No.30475. The composite microbial agent can effectively reduce the pH value of soil, reduce the salt content of the soil, improve the emergence rate and salt and alkali resistance of crops and increase the yield of the crops, in addition, the composite microbial agent can further degrade pesticide carbaryl residues and has certain significance in development of green agriculture.