10078 results about "Nutrient" patented technology

A system can process an indication of user data, wherein the user data comprises a food item including at least one recipe having one or more ingredients, and a query, wherein the query is associated with at least one ingredient, and generate, based at least in part on the query, nutrition data associated with the at least one ingredient, wherein the nutrition data comprises preparation data, sourcing data, delivery data, and a list of nutrients for the at least one ingredient. The system can further estimate, based at least in part on the nutrition data associated with the least one ingredient, a nutritional score, then compare the estimated nutritional score to a threshold, and based on the compared nutritional score, generate one or more instructions to cause an indication of the nutritional score on a user device.

The invention discloses an intelligent water and fertilizer integrated precise irrigation control method. The method comprises the following steps: step 1, establishing a multi-modal data acquisition network; step 2, inputting the data obtained in the step 1 into a trained LSTM neural network, and predicting future crop transpiration water demand; 3, according to nutrient concentration distribution fed back by a soil conductivity sensor in real time, combining with a water and fertilizer coupling migration model, dynamically calculating a nitrogen-phosphorus-potassium ratio of each irrigation zone, realizing precise mixing of a fertilizer mother solution and irrigation water through a three-channel proportioning pump, and implementing a variable irrigation decision; 4, dynamically adjusting the pulse irrigation duration of each branch through an MPC algorithm; and step 5, recovering the residual liquid at the tail end of the pipe network to a buffer tank, detecting the EC value of the recovered liquid through an electrochemical sensor, and taking the EC value as a reference parameter automatic correction proportioning algorithm of the next irrigation period. Accurate control over the irrigation process can be achieved, so that the water and fertilizer utilization efficiency is improved, and resource waste and environmental pollution are reduced.

The invention provides a soybean planting fertilization management system, and relates to the technical field of management systems.Soil physicochemical properties, a meteorological microenvironment, a plant growth state and agricultural machinery operation data are collected in real time through a field sensor network and an unmanned aerial vehicle multispectral imaging technology, and a farmland dynamic portrait is constructed; the intelligent decision-making unit uses a deep learning model and a GLCM texture analysis technology to dynamically identify plant nutrient deficiency pathological characteristics, determines a nutrient deficiency type in combination with an element concentration threshold and triggers early warning; the scheme decision module dynamically optimizes the nitrogen-phosphorus-potassium ratio through a reinforcement learning algorithm, generates a field-level fertilization prescription map by using Kriging interpolation, recommends the optimal fertilization opportunity and dosage, and the precise execution module is linked with a variable fertilizer applicator to realize integrated precise application of water and fertilizer. The user interaction module supports remote monitoring and intervention of farmers through a GIS visual interface and a mobile terminal APP, can dynamically adapt to environmental changes and crop requirements, and significantly improves the nutrient utilization efficiency.

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.

Systems for plant culture include a chamber featuring one or more walls enclosing a spatial volume internal to the chamber, where the one or more walls include a surface for supporting a plant within the enclosed spatial volume, a gas delivery apparatus with at least one gas source, a nutrient delivery apparatus with a reservoir, a sampling apparatus connected to a port formed in the one or more walls, and a controller configured so that during operation of the system, the controller activates the nutrient delivery apparatus to deliver an aqueous growth medium to the plant, and activates the gas delivery apparatus to deliver into the enclosed spatial volume a mixture of isotopically-substituted gases. Also provided are methods of use of the system for measuring nitrogen in a plant and for identifying microbes capable of providing fixed nitrogen to a plant.

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 relates to the technical field of irrigation control, in particular to a water and fertilizer integrated irrigation control method based on a wheat growth cycle, which comprises the following steps: collecting soil humidity and wheat growth state data, and screening key soil and biological parameters influencing wheat growth by applying a random forest algorithm; and predicting the requirements of the wheat on water and nutrition in the differential growth stage according to the key parameters. According to the method, the water and nutrition requirements of wheat in different growth stages are accurately predicted by adopting a random forest algorithm, resource allocation is directly carried out according to the actual needs of plants, the problems of resource waste and insufficient supply of a traditional irrigation system are effectively avoided, and a dynamic adjustment strategy is based on current soil and plant states and also based on a dynamic adjustment strategy. And a water and fertilizer supply plan is optimized by using historical and predicted data, the capability of responding to environmental changes is enhanced, irrigation and fertilization parameters are finely adjusted by combining real-time feedback circulation with a PID controller, and the accuracy and effectiveness of each time of irrigation and fertilization are further ensured.

The invention relates to bacillus, a biocontrol inoculant prepared from the bacillus and application of the biocontrol inoculant, and belongs to the technical field of biological inoculants. The bacillus provided by the invention is bacillus subtilis and is named as ZZ1, the preservation unit is China General Microbiological Culture Collection Center, the preservation address is Institute of Microbiology, Chinese Academy of Sciences, No.3, No.1 Yard, Beichen West Road, Chaoyang District, Beijing, the preservation center is numbered as CGMCC No.31374, and the preservation time is July 19, 2024. The bacillus ZZ1 disclosed by the invention has a certain bacteriostatic effect on different pathogenic bacteria regardless of living bacteria, supernate or cell lysis solution. The bacillus ZZ1 is high in living ability and wide in application range of nutrient sources, temperature, humidity and pH value. The compound has no pathogenicity to fruits and vegetables, has good tolerance to broad-spectrum bactericides, and has a great application prospect.

The invention discloses coal gangue-based artificial ecological soil and a preparation method and application thereof, and belongs to the technical field of ecological improvement, the coal gangue-based artificial ecological soil comprises crushed coal gangue and a compound microbial agent, and the compound microbial agent comprises a microbial activating agent and a microbial passivating agent. According to the invention, the coal gangue can be quickly decomposed through the microbial activating agent, useful mineral elements in the coal gangue can be fully activated and analyzed, and the effect of activating a nutrient library in the coal gangue is achieved, so that useful trace elements contained in the coal gangue are effectively released and are easily absorbed by plant growth; meanwhile, harmful heavy metal elements in the coal gangue are passivated through the microbial passivating fungicide, the water-retaining property and the air permeability of the soil are guaranteed by controlling the decomposition particle size proportion of the coal gangue, the soil conditioner can be used for ecological restoration, desert control, agriculture and animal husbandry planting, flower and nursery planting and urban landscaping, the effects of improving the soil and promoting plant growth are achieved, and the soil conditioner is suitable for large-scale popularization and application. The application is wide.

The invention provides a petroleum hydrocarbon pollution remediation method based on soil microorganisms, and provides an innovative solution aiming at the problems of high cost, high energy consumption and secondary pollution of an existing remediation technology. The method comprises the following steps: firstly, carrying out sampling analysis and pretreatment on polluted soil, screening out a microbial strain capable of efficiently degrading petroleum hydrocarbon, and fixing the microbial strain on a biochar carrier to form an immobilized microbial composite material; then, the material is added into the contaminated soil, and tolerant plants are planted to construct a combined remediation system. Meanwhile, nutrient substances such as nitrogen and phosphorus and a surfactant are added, so that the bioavailability and the microbial degradation efficiency of the petroleum hydrocarbon are improved. In the repairing process, the petroleum hydrocarbon content and the microbial activity are monitored regularly, and the repairing scheme is dynamically adjusted. According to the method, the biochar is prepared from agricultural waste, the cost is reduced, efficient and environment-friendly remediation is achieved by combining the synergistic effect of microorganisms and plants, and the method has remarkable economic and environmental benefits and is suitable for treatment of soil polluted by various petroleum hydrocarbons.

The invention relates to the technical field of automatic control, and further relates to a water and fertilizer integrated multi-objective optimization intelligent regulation and control system based on artificial intelligence driving, and the system comprises a water and fertilizer load analysis unit and a water and fertilizer combined regulation and control criterion generation unit. The water and fertilizer load analysis unit is used for acquiring meteorological data from a meteorological monitoring system; simultaneously receiving data from the soil sensor and the leaf surface sensor, acquiring growth state data of the crops, and evaluating water demand and fertilizer demand of the crops in unit area at each time; and the water and fertilizer combined regulation and control criterion generation unit is used for dynamically calculating the water application amount and the fertilization amount of the crops in unit area at each time according to the soil state and the root system absorption capacity of the crops by using an AI dynamic resource optimization engine. According to the invention, the utilization efficiency of moisture and nutrients is effectively improved, the waste of resources is reduced, and the intelligence, adaptability and robustness of regulation and control are enhanced.

The invention relates to the field of fertilizers, in particular to a macroelement water-soluble fertilizer and a preparation method thereof.The preparation method comprises the steps that a composite biochar material is prepared from biochar, loaded metal modified biochar and an iron metal material, and then the composite biochar material is compounded with tripotassium phosphate, monopotassium phosphate, disodium octoborate tetrahydrate, zinc sulfate monohydrate and the like; the finally prepared fertilizer can realize accurate fertilizer supply, the iron metal organic framework material efficiently converts nitrate nitrogen into ammonium nitrogen and cooperates with a large amount of trace elements such as tripotassium phosphate, the requirements of crops at all stages are met, nutrients in key periods are guaranteed, pores of the composite biochar material adsorb the nutrients, nutrient slow release is realized, root system interpenetration resistance is reduced, stress resistance is enhanced, and the yield of the crops is increased. The soil conditioner has the advantages of simple preparation process, reduction of growth hindrance, optimization of soil aggregates, increase of pores, reduction of volume weight, improvement of ventilation, water permeability and water and fertilizer retention capabilities, substantial agricultural economy energization, substantial yield increase of crops, and wide application prospects.

The invention provides an innovative apple tree fruit nutritional ingredient dynamic monitoring and precise management system, and aims to solve the problem that the change of fruit nutritional ingredients cannot be mastered in real time in traditional orchard management. The system integrates spectral data, environmental data and image data, and comprehensively reflects the change of fruit nutrients and the relationship between the change and environmental factors through multi-source data fusion analysis. According to the invention, a standardized model between spectral data and nutritional ingredients is established, and a deep learning algorithm is introduced to improve the accuracy and efficiency of image recognition. The system can analyze fruit nutrients and environmental parameters in real time, send early warning information and generate personalized fertilization and health management suggestions. In addition, the system adopts a modular and extensible design, and is convenient to customize and integrate. The orchard management accuracy and efficiency can be remarkably improved, the yield and quality of fruits can be improved, the production cost is reduced, and the economic benefits are increased.

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 an accurate fertilizer proportioning production control system based on data analysis, and relates to the technical field of intelligent agriculture, the system collects soil and crop related data in real time through a sensor group and monitoring equipment, and after preprocessing, a crop growth environment data set is formed; summarizing and calculating a soil microorganism activity index, a root respiration rate index and a photosynthesis efficiency index; the indexes and the soil environment data are combined to determine the specific feeding demand quantity of nitrogen, phosphorus and potassium, the specific feeding demand quantity of nitrogen, phosphorus and potassium is summarized, a comprehensive fertilizer proportion index is calculated, evaluation is performed according to a preset first fertilizer demand threshold value and a preset second fertilizer demand threshold value, and when an evaluation result triggers a proportion adjustment mechanism, the fertilizer is adjusted. And the fertilizer ratio regulation and control module dynamically adjusts the fertilizer ratio according to the actual crop and soil conditions, and optimizes the ratio effect through a feedback mechanism. According to the system, the nutrient supply precision of crops is improved, fertilizer waste can be effectively reduced, and sustainable agricultural development is promoted.

The invention relates to the technical field of agricultural information fusion, in particular to an agricultural multi-source information fusion method and system and a storage medium. The method comprises the following steps: collecting and fusing multi-source agricultural data, generating a three-dimensional reconstruction agricultural model, then analyzing a cross-layer coupling structure of the model, obtaining a ground-air segmentation agricultural model, deriving a regional supply-demand relationship, analyzing and compensating nutrient demands based on growth demand parameters, mapping a fertilization prescription, generating a fertilization prescription map, and finally obtaining a fertilization result. And performing supply development simulation by utilizing the fertilization prescription map to obtain a simulated supply response model, determining irrigation opportunity according to the simulated supply response model, generating an irrigation prescription map, interactively integrating the fertilization prescription map and the irrigation prescription map, and generating agricultural fusion feedback information. According to the invention, a more accurate and more reliable agriculture-oriented multi-source information fusion method is realized.

The invention provides a slow-release ecological grass blanket for improving an eroded inferior land and a construction method of the slow-release ecological grass blanket. The ecological grass blanket comprises a bottom intercepting layer, a nutrient slow-release layer, a seed triggering layer and a surface fixing layer which are sequentially arranged on the soil surface of the eroded inferior land. The bottom interception layer at least comprises a water-soluble lower film arranged on the soil surface and a first composite substrate layer arranged on the water-soluble lower film; the nutrient slow-release layer at least comprises an organic fertilizer mixture particle layer arranged on the first composite substrate layer and a water-soluble upper film arranged on the organic fertilizer mixture particle layer; the seed triggering layer comprises a degradable fiber lower net arranged on the water-soluble upper film and a composite seed belt arranged on the degradable fiber lower net; the surface fixing layer comprises a second composite substrate layer arranged on the composite seed belt and a degradable fiber net arranged on the second composite substrate layer. The ecological grass blanket provided by the invention is high in seed survival rate, good in uniformity, low in cost and capable of realizing sustainable ecological restoration.

An intelligent fertilization and water supply method and system. The method comprises the following steps: step a, comprehensive soil monitoring, involving: comprehensively monitoring various soil indexes by means of a plurality of sensors, so as to obtain real-time data of the soil indexes; b, consideration of crop-specific requirements, involving: for the varieties and growth stages of different crops, thoroughly studying the unique moisture and nutrient requirements of the crops, so as to ensure the rationality and accuracy of a fertilization amount; c, comprehensive consideration of environmental factors, involving: collecting data of surrounding environmental factors; d, utilization of an intelligent irrigation mode, involving: by using a cyclic irrigation mode, an intermittent irrigation mode, etc., in combination with the water requirement pattern of each crop and a change in soil moisture, realizing efficient water utilization; e, implementation of a dynamic fertilization plan, involving: on the basis of a change in a crop growth condition and in soil fertility, dynamically adjusting fertilization time, frequency and dosage, so as to ensure that the nutrient supply matches the requirements of each crop; and f, implementation of a precise fertilization technique, involving: precisely delivering fertilizer to an absorption part of each crop, so as to improve the efficiency of nutrient utilization.

The invention discloses a coal-based solid waste ecological restoration material and a preparation method thereof. The preparation method comprises the following steps: mixing coal gangue powder with a cementing material, a mineral activator and a physical pore-forming foam body, and curing to prepare a porous sandy soil matrix; and uniformly mixing the prepared porous sandy soil matrix with coal slime and a complex microbial inoculant, and performing fermentation and precipitation to obtain the coal-based solid waste ecological restoration material. Due to the addition of the cementing material, the strength of a sandy soil matrix framework is enhanced, collapse of pore channels in the crushing process is reduced, and the water retention and air permeability of the material are improved. Compared with traditional aluminum powder chemical foaming and strong acid foaming, the physical foaming technology adopted by the invention improves the operation safety while reducing the cost, and facilitates standardized production. Nutrient elements in the ecological restoration material can be fully released through the activation effect of the bacterium-fungus complex microbial inoculant. The ecological restoration material can be applied to environmental restoration fields such as mine soil restoration and land reclamation.

The invention relates to the technical field of agricultural fertilization, in particular to a precise fertilization method and system based on rice field nutrient real-time monitoring. The method comprises the following steps: acquiring map data of a rice field; dividing the rice field into a plurality of uniform areas by using a random sampling algorithm and an expansion algorithm; acquiring soil data and nutrient data of the rice field; constructing a rice field region comprehensive evaluation model used for comprehensively evaluating the difference between rice field region nutrients and soil characteristics; classifying the uniform regions according to the difference between nutrients and soil characteristics, and obtaining classified regions; constructing a rice field nutrient demand analysis model; constructing a rice field precise fertilization model; the fertilization amount is determined, and accurate graded fertilization is realized. According to the method, the nutrient and soil characteristics of the rice field are comprehensively evaluated in different regions, the fertilization priority sequence is determined, the nutrient requirements of all the regions are accurately matched to specific fertilizers and fertilization amounts, tight connection of the regions, the nutrients, the fertilizer types and the fertilization amounts is ensured, and precise fertilization management is achieved.

The invention discloses a soil element spectrum detection analysis method and system based on machine learning, and belongs to the technical field of smart agriculture. Field soil element data, plant growth data and environment data are obtained, and an element mineralization release model, an element loss model, a plant absorption model and a pollution element influence model are constructed; the method comprises the following steps: evaluating element mineralization release amount, plant element absorption amount and influence of harmful elements on plant absorption, constructing a soil element content prediction model, introducing the mineralization release amount, element loss amount, plant absorption amount and pollution element influence into the soil element content prediction model to calculate future soil element content, and constructing a fertilization time prediction model. The future soil element content is introduced into the fertilization time prediction model to evaluate the fertilization time, the fertilization time is predicted by coupling the soil element dynamic evolution and plant growth absorption and combining the nutrient demand characteristics of the plant in different growth states, and the plant planting fertilization efficiency is improved.

The invention discloses a precise fertilization and irrigation method and system based on corn and soybean ontology information, and the method comprises the following steps: building a leaf nitrogen content estimation model and a moisture estimation model based on spectral information according to the growth big data of two crops in the whole growth period, and installing an innovatively developed spectral probe sensor, an environment monitoring station is installed in the field, and the predicted nitrogen content and moisture content are obtained according to canopy spectrum information, collected by spectrum equipment, of available corn and soybean leaves. According to the precise fertilization and irrigation method and system based on the corn and soybean ontology information, by establishing the leaf nitrogen content estimation model of the corn and the soybean, the nitrogen content of the corn and the soybean in different growth stages can be precisely calculated, the nitrogen condition of crops can be accurately obtained according to actually measured spectral data, and the accuracy of fertilization and irrigation is improved. Therefore, on-demand fertilization is achieved, nutrient insufficiency or excess possibly occurring in traditional fertilization is avoided, the utilization rate of the fertilizer is increased, and waste of the fertilizer is reduced.

The invention discloses a microbial compound fertilizer for improving soil pollution, which is prepared by mixing a matrix fertilizer, alginic acid, cellulase, modified bentonite, biochar, a microbial agent, nano zero-valent iron and monopotassium phosphate according to a mass ratio of (30-40): (6-10): (5-8): (20-25): (15-20): (3-5): (4-6): (4-8), the microbial agent comprises pseudomonas, bacillus and silicate bacteria; heavy metal ions in soil can be effectively neutralized through the nanoscale zero-valent iron and the phosphate, pollutants in the soil can be effectively degraded through the microbial flora, meanwhile, nutrients needed by plant growth are provided, the modified bentonite is added, the soil structure can be changed, meanwhile, phosphorus and potassium fertilizers are provided for the soil, and the soil quality is improved. By adding alginic acid and cellulase, the activity of microorganisms is effectively enhanced, the fertility conversion efficiency of the microorganisms is improved, and soil improvement and remediation are achieved.

The invention relates to the field of soil improvement, and discloses a saline-alkali soil conditioner and an application method thereof.The saline-alkali soil conditioner is prepared from, by weight, 10-30 parts of desulfurized gypsum, 5-20 parts of calcium chloride, 5-15 parts of ferrous sulfate, 5-15 parts of ammonium sulfate, 20-30 parts of organic materials, 20-30 parts of inorganic materials and 5-10 parts of microbial conditioner; the salt content and the pH value of the saline-alkali soil are reduced through desulfurized gypsum, calcium chloride, ferrous sulfate and ammonium sulfate; organic matter of saline-alkali soil is increased through organic materials, and the soil structure is improved; the water retention capacity and the nutrient supply capacity of the saline-alkali soil are improved through the inorganic materials, and the soil structure is further improved; solidified nutrients in the saline-alkali soil are activated through the microbial modifier, and the structure of the soil is improved; an ascending channel of soil underground salt is cut off through the isolation layer; therefore, the problem that the improvement efficiency is low due to the fact that salt and alkali return is prone to occurring in traditional improvement measures is solved.

The invention discloses multi-layer response type ecological seed paper and a preparation method thereof. According to the invention, the microencapsulated seed adopts a sodium alginate and chitosan double-layer coating process, and the pH response characteristic is combined, so that the problem of seed damage caused by high temperature or mechanical pressure in the traditional seed paper processing process is effectively solved. The sodium alginate gel layer forms a physical barrier through ionic crosslinking, so that direct impact of a processing environment on the seeds is isolated; the pH sensitivity of the chitosan coating ensures that the seeds are only released under the soil neutral condition, and poison of acidic or alkaline environment to seedlings is avoided. When the soil moisture content exceeds a threshold value, the hydrogel grid structure is rapidly expanded and disintegrated, and the slow-release fertilizer and the nitrogen-fixing flora are synchronously released. According to the dual intelligent response system, the survival rate of the seeds is increased, accurate space-time matching of nutrient release and seed germination is achieved, and in a mine remediation scene, heavy metal adsorption and soil microbial community reconstruction can be completed at the same time by adjusting the aperture of the hydrogel and the variety of probiotics.

The invention provides lactobacillus plantarum NSL0125 and application thereof in preparation of a microbial preparation for promoting calcium supplement and growth and development. The lactobacillus plantarum NSL0125 is classified and named as Lactobacillus plantarum and is preserved in the China Center for Type Culture Collection, and the preservation number of the lactobacillus plantarum NSL0125 is CCTCC (China Center for Type Culture Collection) NO: M 2024609. The lactobacillus plantarum NSL0125 is high in safety, free of pathogenicity and capable of fermenting various nutrient substances to supply energy for growth. Experiments prove that the lactobacillus plantarum NSL0125 can be colonized in intestinal tracts for a long time, and meanwhile, the lactobacillus plantarum NSL0125 has unique effects on the aspects of adsorption, transfer, absorption promotion and the like of calcium ions, so that calcium absorption, growth and development of organisms are effectively promoted. The lactobacillus plantarum NSL0125 is high in fermentation level and suitable for large-scale industrial production. A large number of experimental studies prove that the lactobacillus plantarum NSL0125 and the microbial preparation thereof have remarkable effects of promoting calcium supplement and growth and development, have good application value and have good market application prospects.

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 technical field of fertilizer preparation, and discloses an ecological balance fertilizer for yield increase and disease resistance of peanuts and a preparation method of the ecological balance fertilizer. The preparation process comprises the following steps: constructing a PLGA core containing trichoderma harzianum spores and magnesium carbonate through a micro-fluidic chip low-temperature water-in-oil emulsion method; coating bacillus amyloliquefaciens and potassium silicate with ultraviolet-induced cross-linked temperature-sensitive hydrogel to form a middle layer; loading rhizobium by using aminated mesoporous S < iO2 >, and spraying and assembling an enzyme response shell through a fluidized bed; finally, the hydroxyapatite nanorod and a binder are combined and granulated and formed through a fluidized bed. Precise controlled release of functional bacteria and nutrients is realized by constructing a temperature-sensitive-enzyme response type release system, and the activity of a fungicide is guaranteed to be preserved by virtue of trichoderma harzianum-rhizobium synergistic interaction and silicon bond linkage soil remediation in combination with a low-temperature fluidized bed process, so that a'fertilizer-bacterium-soil 'ecological cycle system is finally constructed.

The invention provides a coal gangue organic fertilizer and a preparation method thereof, and belongs to the technical field of fertilizers. The coal gangue organic fertilizer is prepared by uniformly mixing modified coal gangue, forestry and agricultural residues and a microbial agent, performing high-temperature aerobic composting and aging. Organic components of the coal gangue and nutrient elements such as nitrogen, phosphorus, potassium, calcium and the like required by plant growth are fully utilized, the carrier effect of the coal gangue is also played, and the coal gangue organic fertilizer prepared from the modified coal gangue has a relatively high decomposition degree and is greatly beneficial to seed growth. According to the invention, on one hand, the problems of large stockpiling land occupation and environmental pollution of coal gangue, forestry and agricultural residues and other solid wastes are relieved, and on the other hand, the prepared organic fertilizer can turn waste into wealth and realize solid waste recycling.

The invention provides a licorice growth environment monitoring method and system, and relates to the technical field of environment monitoring. The method comprises the following steps: obtaining a plurality of licorice samples; acquiring a plurality of high-definition sample licorice images and growth height data of the sample licorice; inputting the high-definition sample licorice images into a trained prediction insect damage probability model, and obtaining prediction insect damage probability data of multiple sample licorice at multiple moments of the current monitoring period; determining a growth abnormality score according to the predicted insect damage probability data and the growth height data; acquiring climate parameters; determining a climate anomaly score according to the climate parameters; obtaining nutrient element content information and moisture content information in the soil sample; determining a soil abnormity score according to the nutrient element content information and the moisture content information; and generating a licorice growth environment monitoring report. According to the invention, the probability that licorice is attacked by pests can be predicted, and the comprehensiveness of monitoring the growth environment of licorice is improved.