CN114511157B - Microecological regulation and control method and system based on vegetable bacterial wilt prevention and control - Google Patents
Microecological regulation and control method and system based on vegetable bacterial wilt prevention and control Download PDFInfo
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Abstract
The invention discloses a micro-ecological regulation and control method and a system based on vegetable bacterial wilt prevention and control, which comprises the following steps: acquiring initial soil physicochemical properties and initial soil microbial characteristics of a target vegetable planting area, acquiring a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants as a reference curve, and acquiring an actual relative abundance change curve of the specific bacterial group according to different growth stages of the vegetable plants; comparing the actual relative abundance change curve of the specific bacterial group with a reference curve to generate curve deviation, and generating bacterial wilt early warning information according to the curve deviation; and comprehensively evaluating the soil according to the current soil physicochemical property and the current microbial characteristics of the target vegetable planting area, and generating a micro-ecological regulation and control scheme according to the soil comprehensive evaluation result and the combination of the bacterial wilt prevention and control key microbes related to the vegetable species and the optimal prevention and control time. The invention can be used for carrying out targeted regulation and control on the soil microenvironment of the vegetable planting area, and effectively preventing and controlling soil-borne diseases such as bacterial wilt and the like.
Description
Technical Field
The invention relates to the technical field of disease control, in particular to a microecological regulation and control method and system based on vegetable bacterial wilt control.
Background
During the planting process of vegetables, the vegetables are easily affected by climate, soil and surrounding ecological environment, various plant diseases and insect pests are caused frequently, and bacterial wilt is one of the main bacterial diseases of the vegetables, and the method is characterized in that the disease attack time is short, the spreading speed is high, if the bacterial wilt is serious, the vegetable plants die in pieces, so that the economic benefit of vegetable farmers is greatly affected, and the crops such as tomatoes, eggplants, hot peppers, potatoes, gingers and the like are damaged. When no host exists, pathogens can survive in soil for 14 months and can live through the winter in the soil, so that pseudomonas solanacearum is difficult to eradicate at low temperature, the pathogens are mainly transmitted through rainwater, irrigation water and agricultural implements, once disease residues are remained, the pathogens of the bacterial wilt are easy to invade from root or stem base wounds and diffuse and grow in blood vessel tissues of plants, so that catheter blockage and plant cell poisoning are caused, the control effect is reduced year after year due to chemical drug control, and a method for controlling roots by using a large amount of antibiotics to irrigate the bacterial wilt pathogens generates certain drug resistance, so that the method for controlling the roots by using the chemical drugs in a later period is difficult to achieve a good control effect on the vegetable bacterial wilt and has obvious pollution on the environment, and therefore, the method for controlling the microbial ecological environment in a vegetable planting area to achieve the control of the bacterial wilt is very important.
In order to carry out targeted regulation and control on the microecology of a vegetable planting environment, a system needs to be developed and matched with the system for realization, the system takes the initial soil physicochemical property and the initial soil microbial characteristic of a vegetable planting area as reference values, analyzes the deviation of the characteristics such as soil microbial abundance and the like in each growth stage of vegetable plants and the reference values to generate bacterial wilt early warning information, acquires the key microbes of a target vegetable planting area, and generates a microecology regulation and control scheme according to the population dynamic change of the key microbes, and how to generate the microecology regulation and control scheme according to the dynamic change of the key microbe population of the target vegetable planting area in the realization process of the system is an urgent problem which cannot be solved.
Disclosure of Invention
In order to solve the technical problems, the invention provides a microecological regulation and control method and a microecological regulation and control system based on vegetable bacterial wilt prevention and control.
The invention provides a microecological regulation and control method based on vegetable bacterial wilt prevention and control, which comprises the following steps:
acquiring initial soil physicochemical property and initial soil microbial characteristic of a target vegetable planting area, and acquiring a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants by taking the initial soil physicochemical property and the initial soil microbial characteristic as a reference;
taking the relative abundance change curve of the specific bacterial group for healthy growth of the vegetable plants as a reference curve, and acquiring the actual relative abundance change curve of the specific bacterial group according to different growth stages of the vegetable plants;
comparing the actual relative abundance change curve of the specific bacterial group with the reference curve to generate a curve deviation, and if the curve deviation is greater than a preset deviation threshold value, generating bacterial wilt early warning information of a target vegetable planting area;
comprehensively evaluating the soil according to the current soil physicochemical property and the current microbial characteristics of the target vegetable planting area, and combining a regulation scheme for controlling the microbial generation of key microorganisms for controlling bacterial wilt related to vegetable varieties according to the comprehensive soil evaluation result.
In the scheme, the method for obtaining the relative abundance change curve of the specific bacterial group for healthy growth of the vegetable plants according to the initial soil physicochemical property and the initial microbial characteristics specifically comprises the following steps:
selecting a specific bacterial group related to bacterial wilt through big data retrieval according to vegetable plant species information, and acquiring initial relative abundance of the specific bacterial group through the initial soil physicochemical property and the initial microbial characteristic;
simulating the change rule of soil microorganisms at each stage of the vegetable plant growth by a big data means according to the initial relative abundance of the specific bacterial group and the vegetable plant species information to generate the relative abundance of the specific bacterial group at each stage of the healthy growth of the vegetable plant;
matching the growth cycle of the vegetable plant according to the relative abundance of the specific bacterial group at each stage in the healthy growth of the vegetable plant to generate a relative abundance change curve of the specific bacterial group at each stage in the healthy growth of the vegetable plant;
and taking the relative abundance change curve of the specific bacterial group as a reference curve.
In the scheme, the comprehensive evaluation of the soil according to the current soil physicochemical property and the current microbial characteristic of the target vegetable planting area specifically comprises the following steps:
after acquiring vegetable bacterial wilt early warning information, acquiring current soil physicochemical properties and current soil microbial characteristics of a target vegetable planting area;
presetting a soil comprehensive evaluation index, selecting sub-factors according with the evaluation index according to the current soil physicochemical property and the current soil microbial characteristic, and expressing the membership degree of each sub-factor in the corresponding evaluation index by adopting a fuzzy evaluation method;
calculating and generating a soil comprehensive evaluation score of the target vegetable planting area according to the membership degree of each sub-factor in the corresponding evaluation index and the weight coefficient of the preset evaluation index;
obtaining the bacterial wilt early warning grade of the target vegetable planting area according to the preset soil comprehensive score threshold interval in which the soil comprehensive evaluation score falls;
acquiring abnormal sub-factors in the soil comprehensive evaluation of the target vegetable planting area, comparing the sampling values of the abnormal sub-factors with standard reference values to generate deviation values, and generating a soil comprehensive evaluation result according to the deviation values of the abnormal sub-factors and the soil comprehensive evaluation score.
In the scheme, the regulation and control scheme for generating the microecology by combining the bacterial wilt prevention and control key microorganisms related to the vegetable types and the optimal prevention and control time according to the soil comprehensive evaluation result specifically comprises the following steps:
determining abnormal bacteria species information in the current soil and quantity information of the abnormal bacteria species in the current soil according to the current soil microbial characteristics of a target vegetable planting area and a relative abundance actual change curve of a specific bacteria group corresponding to the current growth stage of a vegetable plant;
establishing a retrieval task according to the abnormal bacteria species information, acquiring applicable microbial agent information through big data retrieval, and generating a microbial agent list by the microbial agent information and an instruction;
constructing a regulation and control scheme generation model based on deep learning, performing initialization training on the regulation and control scheme generation model, and importing the soil comprehensive evaluation result and abnormal bacteria species information of the target vegetable planting area into the regulation and control scheme generation model;
the regulation and control scheme generation model generates an application plan of the microbial agent according to the deviation value of each sub-factor in the soil comprehensive evaluation model and the curve deviation, and simultaneously obtains a soil physicochemical improvement scheme according to the current soil physicochemical property of the target planting area;
and generating a micro-ecological regulation and control scheme according to the application plan of the microbial agent and the soil physical and chemical improvement scheme.
In the scheme, the selection method of the microbial agent specifically comprises the following steps:
acquiring a microbial agent list and control data of each microbial agent, acquiring control data of each microbial agent, wherein the soil physical and chemical property similarity of the control data and the soil physical and chemical property similarity of a target vegetable planting area conforms to a preset similarity range, and marking;
and sequencing the marked control effect data, and selecting the microbial agent with the highest control effect to make an application plan.
In this scheme, still include:
acquiring the quantity change information of soil pathogenic bacteria in preset time of a regulated target vegetable planting area and the physicochemical property of the regulated soil, and matching a time sequence according to the quantity change information of the pathogenic bacteria to generate a soil pathogenic bacteria quantity change curve;
judging whether the soil pathogenic bacteria quantity change information is within a pathogenic bacteria quantity threshold range corresponding to the current growth stage of the vegetable plants after preset time, and if not, generating regulation and control scheme correction information;
predicting the infection level of the vegetable plant bacterial wilt in the next growth stage of the vegetable plant by using the soil pathogenic bacteria quantity change curve and the regulated soil physicochemical property;
judging whether the infection grade is greater than a preset infection grade threshold value, and if so, generating regulation and control scheme correction information;
and adjusting the micro-ecological regulation and control scheme through the regulation and control scheme correction information.
The second aspect of the invention also provides a microecological regulation and control system based on vegetable bacterial wilt prevention and control, which comprises: the storage comprises a micro-ecological regulation and control method program based on vegetable bacterial wilt prevention and control, and the processor executes the program to realize the following steps:
acquiring initial soil physicochemical property and initial soil microbial characteristic of a target vegetable planting area, and acquiring a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants by taking the initial soil physicochemical property and the initial soil microbial characteristic as a reference;
taking the relative abundance change curve of the specific bacterial group for healthy growth of the vegetable plants as a reference curve, and acquiring the actual relative abundance change curve of the specific bacterial group according to different growth stages of the vegetable plants;
comparing the actual relative abundance change curve of the specific bacterial group with the reference curve to generate a curve deviation, and if the curve deviation is greater than a preset deviation threshold value, generating bacterial wilt early warning information of a target vegetable planting area;
comprehensively evaluating the soil according to the current soil physicochemical property and the current microbial characteristics of the target vegetable planting area, and combining a regulation scheme for controlling the microbial generation of key microorganisms for controlling bacterial wilt related to vegetable varieties according to the comprehensive soil evaluation result.
In the scheme, the method for obtaining the relative abundance change curve of the specific bacterial group for healthy growth of the vegetable plants according to the initial soil physicochemical property and the initial microbial characteristics specifically comprises the following steps:
selecting a specific bacterial group related to bacterial wilt through big data retrieval according to vegetable plant species information, and acquiring initial relative abundance of the specific bacterial group through the initial soil physicochemical property and the initial microbial characteristic;
simulating the change rule of soil microorganisms at each stage of the vegetable plant growth by a big data means according to the initial relative abundance of the specific bacterial group and the vegetable plant species information to generate the relative abundance of the specific bacterial group at each stage of the healthy growth of the vegetable plant;
matching the growth cycle of the vegetable plant according to the relative abundance of the specific bacterial group at each stage in the healthy growth of the vegetable plant to generate a relative abundance change curve of the specific bacterial group at each stage in the healthy growth of the vegetable plant;
and taking the relative abundance change curve of the specific bacterial group as a reference curve.
In the scheme, the comprehensive evaluation of the soil according to the current soil physicochemical property and the current microbial characteristic of the target vegetable planting area specifically comprises the following steps:
after the vegetable bacterial wilt early warning information is obtained, the current soil physicochemical property and the current soil microbial characteristic of a target vegetable planting area are obtained;
presetting a soil comprehensive evaluation index, selecting sub-factors according with the evaluation index according to the current soil physicochemical property and the current soil microbial characteristic, and expressing the membership degree of each sub-factor in the corresponding evaluation index by adopting a fuzzy evaluation method;
calculating and generating a soil comprehensive evaluation score of the target vegetable planting area according to the membership degree of each sub-factor in the corresponding evaluation index and the weight coefficient of the preset evaluation index;
obtaining the bacterial wilt early warning grade of the target vegetable planting area according to the preset soil comprehensive score threshold interval in which the soil comprehensive evaluation score falls;
acquiring abnormal sub-factors in the soil comprehensive evaluation of the target vegetable planting area, comparing the sampling values of the abnormal sub-factors with standard reference values to generate deviation values, and generating a soil comprehensive evaluation result according to the deviation values of the abnormal sub-factors and the soil comprehensive evaluation score.
In the scheme, the regulation and control scheme for generating the microecology by combining the bacterial wilt prevention and control key microorganisms related to the vegetable varieties and the optimal prevention and control time according to the soil comprehensive evaluation result specifically comprises the following steps:
determining abnormal bacteria species information in the current soil and quantity information of the abnormal bacteria species in the current soil according to the current soil microbial characteristics of a target vegetable planting area and a relative abundance actual change curve of a specific bacteria group corresponding to the current growth stage of a vegetable plant;
establishing a retrieval task according to the abnormal bacteria species information, retrieving applicable microbial agent information through big data, and generating a microbial agent list by the microbial agent information and the use instruction;
constructing a regulation and control scheme generation model based on deep learning, performing initialization training on the regulation and control scheme generation model, and importing the soil comprehensive evaluation result and abnormal bacteria species information of the target vegetable planting area into the regulation and control scheme generation model;
the regulation and control scheme generation model generates an application plan of the microbial agent according to the deviation value of each sub-factor in the soil comprehensive evaluation model and the curve deviation, and simultaneously obtains a soil physicochemical improvement scheme according to the current soil physicochemical property of the target planting area;
and generating a micro-ecological regulation and control scheme according to the application plan of the microbial agent and the soil physical and chemical improvement scheme.
In the scheme, the selection method of the microbial agent specifically comprises the following steps:
acquiring a microbial agent list and control data of each microbial agent, acquiring control data of each microbial agent, wherein the soil physical and chemical property similarity of the control data and the soil physical and chemical property similarity of a target vegetable planting area conforms to a preset similarity range, and marking;
sequencing the marked control effect data, and selecting the microbial agent with the highest control effect to make an application plan.
In this scheme, still include:
acquiring the quantity change information of soil pathogenic bacteria in preset time of a regulated target vegetable planting area and the physicochemical property of the regulated soil, and matching a time sequence according to the quantity change information of the pathogenic bacteria to generate a soil pathogenic bacteria quantity change curve;
judging whether the soil pathogenic bacteria quantity change information is within a pathogenic bacteria quantity threshold range corresponding to the current growth stage of the vegetable plants after preset time, and if not, generating regulation and control scheme correction information;
predicting the infection level of the vegetable plant bacterial wilt in the next growth stage of the vegetable plant by using the soil pathogenic bacteria quantity change curve and the regulated soil physicochemical property;
judging whether the infection grade is greater than a preset infection grade threshold value, and if so, generating regulation and control scheme correction information;
and adjusting the micro-ecological regulation scheme through the regulation scheme correction information.
The invention discloses a micro-ecological regulation and control method and a system based on vegetable bacterial wilt prevention and control, which comprises the following steps: acquiring initial soil physicochemical properties and initial soil microbial characteristics of a target vegetable planting area, acquiring a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants as a reference curve, and acquiring an actual relative abundance change curve of the specific bacterial group according to different growth stages of the vegetable plants; comparing the actual relative abundance change curve of the specific bacterial group with a reference curve to generate curve deviation, and generating bacterial wilt early warning information according to the curve deviation; and comprehensively evaluating the soil according to the current soil physicochemical property and the current microbial characteristics of the target vegetable planting area, and generating a micro-ecological regulation and control scheme according to the soil comprehensive evaluation result and the combination of the bacterial wilt prevention and control key microbes related to the vegetable species and the optimal prevention and control time. The method monitors the relative abundance of specific bacterial groups corresponding to the variety information of the vegetable plants in the soil microenvironment of the vegetable planting area, generates bacterial wilt early warning, performs targeted regulation and control according to soil microbial characteristics, effectively prevents and controls soil-borne diseases such as bacterial wilt and the like, and enhances the stress resistance of the vegetable plants.
Drawings
FIG. 1 shows a flow chart of a microecological control method based on vegetable bacterial wilt control according to the present invention;
FIG. 2 shows a block diagram of a microecological control system based on vegetable bacterial wilt control according to the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention, taken in conjunction with the accompanying drawings and detailed description, is set forth below. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
FIG. 1 shows a flow chart of a microecological control method based on vegetable bacterial wilt control according to the present invention.
As shown in fig. 1, the first aspect of the present invention provides a method for controlling microecology based on the control of vegetable bacterial wilt, comprising:
s102, acquiring initial soil physicochemical property and initial soil microbial characteristic of a target vegetable planting area, and acquiring a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants by taking the initial soil physicochemical property and the initial soil microbial characteristic as a reference;
s104, taking the relative abundance change curve of the specific bacterial group for healthy growth of the vegetable plants as a reference curve, and acquiring the actual relative abundance change curve of the specific bacterial group according to different growth stages of the vegetable plants;
s106, comparing the actual relative abundance change curve of the specific bacterial group with the reference curve to generate a curve deviation, and if the curve deviation is greater than a preset deviation threshold value, generating bacterial wilt early warning information of a target vegetable planting area;
and S108, comprehensively evaluating the soil according to the current soil physicochemical property and the current microbial characteristics of the target vegetable planting area, and combining a regulation and control scheme for controlling key microorganisms to generate micro-ecology by controlling bacterial wilt related to vegetable varieties according to the comprehensive evaluation result of the soil.
The method comprises the steps of obtaining a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants according to the initial soil physicochemical property and the initial microbial characteristics, wherein the soil physicochemical property comprises but is not limited to soil organic matter content, soil salt content, soil temperature information, soil humidity information, soil pH information and the like, and the research method of soil microbes comprises a biomarker analysis method, a fluorescent quantitative PCR (polymerase chain reaction) technology, a high-throughput sequencing technology and the like; selecting a specific bacterial group related to the bacterial wilt through big data retrieval according to the vegetable plant species information, for example, the number of certain microorganisms in soil can be changed after the tomato is infected with the bacterial wilt, and acquiring the initial relative abundance of the specific bacterial group through the initial soil physicochemical property and the initial microorganism characteristics; simulating the change rule of soil microorganisms at each stage of the vegetable plant growth by a big data means according to the initial relative abundance of the specific bacterial group and the vegetable plant species information to generate the relative abundance of the specific bacterial group at each stage of the healthy growth of the vegetable plant; matching the growth cycle of the vegetable plant according to the relative abundance of the specific bacterial group at each stage in the healthy growth of the vegetable plant to generate a relative abundance change curve of the specific bacterial group at each stage in the healthy growth of the vegetable plant; and taking the relative abundance change curve of the specific bacterial group as a reference curve.
It should be noted that the comprehensive evaluation of the soil according to the current soil physicochemical properties and the current microbial characteristics of the target vegetable planting area specifically includes: after acquiring vegetable bacterial wilt early warning information, acquiring current soil physicochemical properties and current soil microbial characteristics of a target vegetable planting area; presetting a soil comprehensive evaluation index, selecting sub-factors according with the evaluation index according to the current soil physicochemical property and the current soil microbial characteristic, and expressing the membership degree of each sub-factor in the corresponding evaluation index by adopting a fuzzy evaluation method; the membership value represents the degree of membership of a sub-factor to a ranking index and is represented by a numerical value between 0 and 1. The fuzzy evaluation method is to establish a membership function of each index by using a fuzzy mathematical correlation theory, wherein the membership function is a mathematical expression generated by combining the rating index and a vegetable plant growth curve. Measuring the membership degree of each sub-factor corresponding to the evaluation index by using the membership function, thereby expressing the state of each sub-factor in the soil comprehensive evaluation; calculating and generating a soil comprehensive evaluation score of the target vegetable planting area according to the membership degree of each sub-factor in the corresponding evaluation index and the weight coefficient of the preset evaluation index; obtaining the bacterial wilt early warning grade of the target vegetable planting area according to the preset soil comprehensive score threshold interval in which the soil comprehensive evaluation score falls; acquiring abnormal sub-factors in the soil comprehensive evaluation of the target vegetable planting area, comparing the sampling values of the abnormal sub-factors with standard reference values to generate deviation values, and generating a soil comprehensive evaluation result according to the deviation values of the abnormal sub-factors and the soil comprehensive evaluation score. The soil comprehensive evaluation formula is as follows:
wherein the content of the first and second substances,
the comprehensive evaluation score of the soil is shown,
representing the membership degree of the ith sub-factor in the corresponding evaluation index,
and a weight coefficient indicating the ith evaluation index.
It should be noted that the regulation and control scheme for generating the microecology by combining the bacterial wilt prevention and control key microorganisms related to the vegetable species and the optimal prevention and control time according to the soil comprehensive evaluation result specifically comprises the following steps: determining abnormal bacteria species information in the current soil and quantity information of the abnormal bacteria species in the current soil according to the current soil microbial characteristics of a target vegetable planting area and a relative abundance actual change curve of a specific bacteria group corresponding to the current growth stage of a vegetable plant; establishing a retrieval task according to the abnormal bacteria species information, acquiring applicable microbial agent information through big data retrieval, and generating a microbial agent list by the microbial agent information and an instruction; establishing a regulation and control scheme generation model based on deep learning methods such as a neural network, performing initialization training on the regulation and control scheme generation model, and importing soil comprehensive evaluation results and abnormal bacteria type information of the target vegetable planting area into the regulation and control scheme generation model; the regulation and control scheme generation model generates an application plan of the microbial agent according to the deviation value of each sub-factor in the soil comprehensive evaluation model and the curve deviation, and simultaneously obtains a soil physicochemical improvement scheme, such as soil pH improvement, vegetable plant planting density improvement and the like, according to the current soil physicochemical property of a target planting area; and generating a micro-ecological regulation and control scheme according to the application plan of the microbial agent and the soil physical and chemical improvement scheme.
The selection method of the microbial agent specifically comprises the following steps: acquiring a microbial agent list and control data of each microbial agent, acquiring control data of each microbial agent, wherein the soil physical and chemical property similarity of the control data and the soil physical and chemical property similarity of a target vegetable planting area conforms to a preset similarity range, and marking; sequencing the marked control effect data, and selecting the microbial agent with the highest control effect to make an application plan. Beneficial bacteria in the biological agent propagate in the soil in a large quantity, secrete a large quantity of enzymes and hormone substances, can promote the dissolution and release of insoluble nutrients in the soil, improve the supply capacity of the soil nutrients, strengthen the soil aggregate structure, loosen the soil, improve the permeability and the water and fertilizer retention capacity of the soil, increase soil organic matters, activate potential nutrients in the soil, condition the soil environment and the like. Meanwhile, the fertilization plan of vegetable index is judged according to the soil physicochemical property of the target vegetable planting area, the fertilizer application plan and the biological agent are applied together to reduce the loss of nitrogen fertilizer, the microbial agent is combined with metal ions in soil such as phosphorus, potassium, calcium, magnesium and the like to form chelated compounds, the chelated compounds are directly absorbed by crop roots, and the utilization rate of the fertilizer is improved
It should be noted that the present invention further includes adjusting the micro-ecological regulation scheme, specifically:
acquiring the quantity change information of soil pathogenic bacteria in preset time of a regulated target vegetable planting area and the physicochemical property of the regulated soil, and matching a time sequence according to the quantity change information of the pathogenic bacteria to generate a soil pathogenic bacteria quantity change curve; judging whether the soil pathogenic bacteria quantity change information is within a pathogenic bacteria quantity threshold range corresponding to the current growth stage of the vegetable plants after preset time, and if not, generating regulation and control scheme correction information; predicting the infection level of the vegetable plant bacterial wilt in the next growth stage of the vegetable plant by using the soil pathogenic bacteria quantity change curve and the regulated soil physicochemical property; judging whether the infection grade is greater than a preset infection grade threshold value, and if so, generating regulation and control scheme correction information; and adjusting the micro-ecological regulation and control scheme through the regulation and control scheme correction information.
According to the embodiment of the invention, the invention also comprises an ecological regulation database which is used for storing reference curves of various soil qualities and various vegetable types into the ecological regulation database, and the method specifically comprises the following steps:
establishing an ecological regulation database, matching different soil types, corresponding soil physicochemical properties and soil microbial characteristics with various vegetable plants to determine a relative abundance curve of specific bacterial groups for healthy growth of various vegetable plants in different soil environments, and storing the curve into the ecological regulation database;
constructing a characteristic sequence according to soil physicochemical characteristics and soil microbial characteristics of the current vegetable planting area, and comparing similarity in the ecological regulation and control database through the characteristic sequence to obtain historical data information of which the similarity with the characteristic sequence of the current vegetable planting area in the ecological regulation and control database meets preset similarity preset requirements;
acquiring a relative abundance curve of a healthy growing specific bacterial group of a corresponding vegetable plant species according to historical data information, and taking the relative abundance curve as a reference curve for early warning of vegetable bacterial wilt;
and performing bacterial wilt early warning of the current vegetable planting area according to the reference curve.
It should be noted that, similarity comparison is performed in the ecological regulation and control database according to the characteristic sequence of the current vegetable planting area, and the similarity comparison may be euclidean distance or cosine comparison, so that the obtaining efficiency of the reference curve is greatly improved, and the information of the numerical control database is continuously updated according to the current vegetable planting area.
FIG. 2 shows a block diagram of a microecological control system based on vegetable bacterial wilt control according to the present invention.
The second aspect of the present invention also provides a microecological control system 2 based on vegetable bacterial wilt control, which comprises: a memory 21 and a processor 22, wherein the memory includes a program of a method for micro-ecological regulation and control based on vegetable bacterial wilt prevention and control, and when the program of the method for micro-ecological regulation and control based on vegetable bacterial wilt prevention and control is executed by the processor, the following steps are implemented:
acquiring initial soil physicochemical property and initial soil microbial characteristic of a target vegetable planting area, and acquiring a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants by taking the initial soil physicochemical property and the initial soil microbial characteristic as a reference;
taking the relative abundance change curve of the specific bacterial group for healthy growth of the vegetable plants as a reference curve, and acquiring the actual relative abundance change curve of the specific bacterial group according to different growth stages of the vegetable plants;
comparing the actual relative abundance change curve of the specific bacterial group with the reference curve to generate a curve deviation, and if the curve deviation is greater than a preset deviation threshold value, generating bacterial wilt early warning information of a target vegetable planting area;
comprehensively evaluating the soil according to the current soil physicochemical property and the current microbial characteristics of the target vegetable planting area, and combining a regulation scheme for controlling the microbial generation of key microorganisms for controlling bacterial wilt related to vegetable varieties according to the comprehensive soil evaluation result.
The method comprises the steps of obtaining a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants according to the initial soil physicochemical property and the initial microbial characteristics, wherein the soil physicochemical property comprises but is not limited to soil organic matter content, soil salt content, soil temperature information, soil humidity information, soil pH information and the like, and the research method of soil microbes comprises a biomarker analysis method, a fluorescent quantitative PCR (polymerase chain reaction) technology, a high-throughput sequencing technology and the like; selecting a specific bacterial group related to the bacterial wilt through big data retrieval according to the vegetable plant species information, for example, the number of certain microorganisms in soil can be changed after the tomato is infected with the bacterial wilt, and acquiring the initial relative abundance of the specific bacterial group through the initial soil physicochemical property and the initial microorganism characteristics; simulating the change rule of soil microorganisms at each stage of the vegetable plant growth by a big data means according to the initial relative abundance of the specific bacterial group and the vegetable plant species information to generate the relative abundance of the specific bacterial group at each stage of the healthy growth of the vegetable plant; matching the growth cycle of the vegetable plant according to the relative abundance of the specific bacterial group at each stage in the healthy growth of the vegetable plant to generate a relative abundance change curve of the specific bacterial group at each stage in the healthy growth of the vegetable plant; and taking the relative abundance change curve of the specific bacterial group as a reference curve.
It should be noted that the comprehensive evaluation of the soil according to the current soil physicochemical properties and the current microbial characteristics of the target vegetable planting area specifically includes: after acquiring vegetable bacterial wilt early warning information, acquiring current soil physicochemical properties and current soil microbial characteristics of a target vegetable planting area; presetting a soil comprehensive evaluation index, selecting sub-factors according with the evaluation index according to the current soil physicochemical property and the current soil microbial characteristic, and expressing the membership degree of each sub-factor in the corresponding evaluation index by adopting a fuzzy evaluation method; the membership value represents the degree of membership of a sub-factor to a ranking index and is represented by a numerical value between 0 and 1. The fuzzy evaluation method is to establish a membership function of each index by using a fuzzy mathematical correlation theory, wherein the membership function is a mathematical expression generated by combining the rating index and a vegetable plant growth curve. Measuring the membership degree of each sub-factor corresponding to the evaluation index by using the membership function, thereby expressing the state of each sub-factor in the soil comprehensive evaluation; calculating and generating a soil comprehensive evaluation score of the target vegetable planting area according to the membership degree of each sub-factor in the corresponding evaluation index and the weight coefficient of the preset evaluation index; obtaining the bacterial wilt early warning grade of the target vegetable planting area according to the preset soil comprehensive score threshold interval in which the soil comprehensive evaluation score falls; acquiring abnormal sub-factors in the soil comprehensive evaluation of the target vegetable planting area, comparing the sampling values of the abnormal sub-factors with standard reference values to generate deviation values, and generating a soil comprehensive evaluation result according to the deviation values of the abnormal sub-factors and the soil comprehensive evaluation score. The soil comprehensive evaluation formula is as follows:
wherein the content of the first and second substances,
the soil comprehensive evaluation score is expressed,
representing the membership degree of the ith sub-factor in the corresponding evaluation index,
and a weight coefficient indicating the ith evaluation index.
It should be noted that the regulation and control scheme for generating the microecology by combining the bacterial wilt prevention and control key microorganisms related to the vegetable species and the optimal prevention and control time according to the soil comprehensive evaluation result specifically comprises the following steps: determining abnormal bacteria species information in the current soil and quantity information of the abnormal bacteria species in the current soil according to the current soil microbial characteristics of a target vegetable planting area and a relative abundance actual change curve of a specific bacteria group corresponding to the current growth stage of a vegetable plant; establishing a retrieval task according to the abnormal bacteria species information, retrieving applicable microbial agent information through big data, and generating a microbial agent list by the microbial agent information and the use instruction; establishing a regulation and control scheme generation model based on deep learning methods such as a neural network, performing initialization training on the regulation and control scheme generation model, and importing soil comprehensive evaluation results and abnormal bacteria type information of the target vegetable planting area into the regulation and control scheme generation model; the regulation and control scheme generation model generates an application plan of the microbial agent according to the deviation value of each sub-factor in the soil comprehensive evaluation model and the curve deviation, and simultaneously obtains a soil physicochemical improvement scheme, such as soil pH improvement, vegetable plant planting density improvement and the like, according to the current soil physicochemical property of a target planting area; and generating a micro-ecological regulation and control scheme according to the application plan of the microbial agent and the soil physical and chemical improvement scheme.
The selection method of the microbial agent specifically comprises the following steps: acquiring a microbial agent list and control data of each microbial agent, acquiring control data of each microbial agent, wherein the soil physical and chemical property similarity of the control data and the soil physical and chemical property similarity of a target vegetable planting area conforms to a preset similarity range, and marking; sequencing the marked control effect data, and selecting the microbial agent with the highest control effect to make an application plan. Beneficial bacteria in the biological agent propagate in the soil in a large quantity, secrete a large amount of enzymes and hormone substances, can promote the dissolution and release of insoluble nutrients in the soil, improve the supply capacity of soil nutrients, strengthen the granular structure of the soil, loosen the soil, improve the permeability and the water and fertilizer retention capacity of the soil, increase soil organic matters, activate potential nutrients in the soil, condition the soil environment and the like. Meanwhile, the fertilization plan of vegetable index is judged according to the soil physicochemical property of the target vegetable planting area, the fertilizer application plan and the biological agent are applied together to reduce the loss of nitrogen fertilizer, the microbial agent is combined with metal ions in soil such as phosphorus, potassium, calcium, magnesium and the like to form chelated compounds, the chelated compounds are directly absorbed by crop roots, and the utilization rate of the fertilizer is improved
It should be noted that the present invention further includes adjusting the micro-ecological regulation scheme, specifically:
acquiring the quantity change information of soil pathogenic bacteria in preset time of a regulated target vegetable planting area and the physicochemical property of the regulated soil, and matching a time sequence according to the quantity change information of the pathogenic bacteria to generate a soil pathogenic bacteria quantity change curve; judging whether the soil pathogenic bacteria quantity change information is within a pathogenic bacteria quantity threshold range corresponding to the current growth stage of the vegetable plants after preset time, and if not, generating regulation and control scheme correction information; predicting the infection level of the vegetable plant bacterial wilt in the next growth stage of the vegetable plant by using the soil pathogenic bacteria quantity change curve and the regulated soil physicochemical property; judging whether the infection grade is greater than a preset infection grade threshold value, and if so, generating regulation and control scheme correction information; and adjusting the micro-ecological regulation and control scheme through the regulation and control scheme correction information.
According to the embodiment of the invention, the invention also comprises an ecological regulation database which is used for storing reference curves of various soil qualities and various vegetable types into the ecological regulation database, and the method specifically comprises the following steps:
establishing an ecological regulation database, matching different soil types, corresponding soil physicochemical properties and soil microbial characteristics with various vegetable plants to determine a relative abundance curve of specific bacterial groups for healthy growth of various vegetable plants in different soil environments, and storing the curve into the ecological regulation database;
constructing a characteristic sequence according to soil physicochemical characteristics and soil microbial characteristics of the current vegetable planting area, and comparing similarity in the ecological regulation and control database through the characteristic sequence to obtain historical data information of which the similarity with the characteristic sequence of the current vegetable planting area in the ecological regulation and control database meets preset similarity preset requirements;
obtaining a relative abundance curve of a specific bacterial group for healthy growth of corresponding vegetable plant species according to historical data information, and taking the relative abundance curve as a reference curve for early warning of vegetable bacterial wilt;
and performing bacterial wilt early warning of the current vegetable planting area according to the reference curve.
It should be noted that, similarity comparison is performed in the ecological regulation and control database according to the characteristic sequence of the current vegetable planting area, and the similarity comparison may be euclidean distance or cosine comparison, so that the obtaining efficiency of the reference curve is greatly improved, and the information of the numerical control database is continuously updated according to the current vegetable planting area.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps of implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer-readable storage medium, and when executed, executes the steps including the method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A microecological regulation and control method based on vegetable bacterial wilt prevention and control is characterized by comprising the following steps:
acquiring initial soil physicochemical property and initial soil microbial characteristic of a target vegetable planting area, and acquiring a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants by taking the initial soil physicochemical property and the initial soil microbial characteristic as a reference;
taking the relative abundance change curve of the specific bacterial group for healthy growth of the vegetable plants as a reference curve, and acquiring the actual relative abundance change curve of the specific bacterial group according to different growth stages of the vegetable plants;
comparing the actual relative abundance change curve of the specific bacterial group with the reference curve to generate a curve deviation, and if the curve deviation is greater than a preset deviation threshold value, generating bacterial wilt early warning information of a target vegetable planting area;
comprehensively evaluating the soil according to the current soil physicochemical property and the current microbial characteristics of the target vegetable planting area, and combining a regulation scheme for controlling the microbial generation of key microorganisms for controlling bacterial wilt related to vegetable varieties according to the soil comprehensive evaluation result.
2. The microecological regulation and control method based on vegetable bacterial wilt control according to claim 1, wherein the change curve of the relative abundance of specific bacterial groups for healthy growth of vegetable plants is obtained according to the physicochemical properties of the initial soil and the characteristics of the initial microorganisms, and specifically comprises the following steps:
selecting a specific bacterial group related to bacterial wilt through big data retrieval according to the variety information of vegetable plants, and acquiring the initial relative abundance of the specific bacterial group through the initial soil physicochemical property and the initial microbial characteristics;
simulating the change rule of soil microorganisms at each stage of the vegetable plant growth by a big data means according to the initial relative abundance of the specific bacterial group and the vegetable plant species information to generate the relative abundance of the specific bacterial group at each stage of the healthy growth of the vegetable plant;
matching the growth cycle of the vegetable plant according to the relative abundance of the specific bacterial group at each stage in the healthy growth of the vegetable plant to generate a relative abundance change curve of the specific bacterial group at each stage in the healthy growth of the vegetable plant;
and taking the relative abundance change curve of the specific bacterial group as a reference curve.
3. The microecological regulation and control method based on vegetable bacterial wilt control according to claim 1, wherein the comprehensive evaluation of soil according to the current soil physicochemical properties and current microbial characteristics of a target vegetable planting area is specifically as follows:
after acquiring vegetable bacterial wilt early warning information, acquiring current soil physicochemical properties and current soil microbial characteristics of a target vegetable planting area;
presetting a soil comprehensive evaluation index, selecting sub-factors according with the evaluation index according to the current soil physicochemical property and the current soil microbial characteristic, and expressing the membership degree of each sub-factor in the corresponding evaluation index by adopting a fuzzy evaluation method;
calculating and generating a soil comprehensive evaluation score of the target vegetable planting area according to the membership degree of each sub-factor in the corresponding evaluation index and the weight coefficient of the preset evaluation index;
obtaining the bacterial wilt early warning grade of the target vegetable planting area according to the preset soil comprehensive score threshold interval in which the soil comprehensive evaluation score falls;
acquiring abnormal sub-factors in the soil comprehensive evaluation of the target vegetable planting area, comparing the sampling values of the abnormal sub-factors with standard reference values to generate deviation values, and generating a soil comprehensive evaluation result according to the deviation values of the abnormal sub-factors and the soil comprehensive evaluation score.
4. The method for regulating and controlling the microecology based on the control of the vegetable bacterial wilt according to claim 1, wherein the regulation and control scheme for generating the microecology by combining the key microorganisms for controlling the bacterial wilt related to vegetable species and the optimal control time according to the comprehensive soil evaluation result specifically comprises the following steps:
determining abnormal bacteria species information in the current soil and quantity information of the abnormal bacteria species in the current soil according to the current soil microbial characteristics of a target vegetable planting area and a relative abundance actual change curve of a specific bacteria group corresponding to the current growth stage of a vegetable plant;
establishing a retrieval task according to the abnormal bacteria species information, acquiring applicable microbial agent information through big data retrieval, and generating a microbial agent list by the microbial agent information and an instruction;
constructing a regulation and control scheme generation model based on deep learning, performing initialization training on the regulation and control scheme generation model, and importing the soil comprehensive evaluation result and abnormal bacteria species information of the target vegetable planting area into the regulation and control scheme generation model;
the regulation and control scheme generation model generates an application plan of the microbial agent according to the deviation value of each sub-factor in the soil comprehensive evaluation model and the curve deviation, and simultaneously obtains a soil physicochemical improvement scheme according to the current soil physicochemical property of the target planting area;
and generating a micro-ecological regulation and control scheme according to the application plan of the microbial agent and the soil physical and chemical improvement scheme.
5. The micro-ecological regulation and control method based on vegetable bacterial wilt prevention and control of claim 4, wherein the selection method of the microbial agent specifically comprises the following steps:
acquiring a microbial agent list and control data of each microbial agent, acquiring control data of each microbial agent, wherein the soil physical and chemical property similarity of the control data and the soil physical and chemical property similarity of a target vegetable planting area conforms to a preset similarity range, and marking;
sequencing the marked control effect data, and selecting the microbial agent with the highest control effect to make an application plan.
6. The micro-ecological regulation and control method based on vegetable bacterial wilt control according to claim 1, characterized by further comprising:
acquiring the quantity change information of soil pathogenic bacteria in preset time of a regulated target vegetable planting area and the physicochemical property of the regulated soil, and matching a time sequence according to the quantity change information of the pathogenic bacteria to generate a soil pathogenic bacteria quantity change curve;
judging whether the soil pathogenic bacteria quantity change information is within a pathogenic bacteria quantity threshold range corresponding to the current growth stage of the vegetable plants after preset time, and if not, generating regulation and control scheme correction information;
predicting the infection level of the vegetable plant bacterial wilt in the next growth stage of the vegetable plant by using the soil pathogenic bacteria quantity change curve and the regulated soil physicochemical property;
judging whether the infection grade is greater than a preset infection grade threshold value, and if so, generating regulation and control scheme correction information;
and adjusting the micro-ecological regulation and control scheme through the regulation and control scheme correction information.
7. A microecological regulation and control system based on vegetable bacterial wilt prevention and control is characterized by comprising: the storage comprises a micro-ecological regulation and control method program based on vegetable bacterial wilt prevention and control, and the processor executes the program to realize the following steps:
acquiring initial soil physicochemical property and initial soil microbial characteristic of a target vegetable planting area, and acquiring a relative abundance change curve of a specific bacterial group for healthy growth of vegetable plants by taking the initial soil physicochemical property and the initial soil microbial characteristic as a reference;
taking the relative abundance change curve of the specific bacterial group for healthy growth of the vegetable plants as a reference curve, and acquiring the actual relative abundance change curve of the specific bacterial group according to different growth stages of the vegetable plants;
comparing the actual relative abundance change curve of the specific bacterial group with the reference curve to generate a curve deviation, and if the curve deviation is greater than a preset deviation threshold value, generating bacterial wilt early warning information of a target vegetable planting area;
comprehensively evaluating the soil according to the current soil physicochemical property and the current microbial characteristics of the target vegetable planting area, and combining a regulation scheme for controlling the microbial generation of key microorganisms for controlling bacterial wilt related to vegetable varieties according to the comprehensive soil evaluation result.
8. The microecological regulation and control system for vegetable bacterial wilt control based on claim 7, wherein the change curve of the relative abundance of the specific bacterial groups for healthy growth of vegetable plants is obtained according to the physicochemical properties of the initial soil and the initial microbial characteristics, and specifically comprises:
selecting a specific bacterial group related to bacterial wilt through big data retrieval according to vegetable plant species information, and acquiring initial relative abundance of the specific bacterial group through the initial soil physicochemical property and the initial microbial characteristic;
simulating the change rule of soil microorganisms at each stage of vegetable plant growth by a big data means according to the initial relative abundance of the specific bacterial group and the vegetable plant species information to generate the relative abundance of the specific bacterial group at each stage in the healthy growth of the vegetable plant;
matching the growth cycle of the vegetable plant according to the relative abundance of the specific bacterial group at each stage in the healthy growth of the vegetable plant to generate a relative abundance change curve of the specific bacterial group at each stage in the healthy growth of the vegetable plant;
and taking the relative abundance change curve of the specific bacterial group as a reference curve.
9. The micro-ecological regulation and control system based on vegetable bacterial wilt control of claim 7, wherein the comprehensive evaluation of soil according to the current soil physicochemical properties and current microbial characteristics of the target vegetable planting area is specifically as follows:
after acquiring vegetable bacterial wilt early warning information, acquiring current soil physicochemical properties and current soil microbial characteristics of a target vegetable planting area;
presetting a soil comprehensive evaluation index, selecting sub-factors according with the evaluation index according to the current soil physicochemical property and the current soil microbial characteristic, and expressing the membership degree of each sub-factor in the corresponding evaluation index by adopting a fuzzy evaluation method;
calculating and generating a soil comprehensive evaluation score of the target vegetable planting area according to the membership degree of each sub-factor in the corresponding evaluation index and the weight coefficient of the preset evaluation index;
obtaining the bacterial wilt early warning grade of the target vegetable planting area according to the preset soil comprehensive score threshold interval in which the soil comprehensive evaluation score falls;
acquiring abnormal sub-factors in the soil comprehensive evaluation of the target vegetable planting area, comparing the sampling values of the abnormal sub-factors with standard reference values to generate deviation values, and generating a soil comprehensive evaluation result according to the deviation values of the abnormal sub-factors and the soil comprehensive evaluation score.
10. The microecological regulation and control system based on vegetable bacterial wilt prevention and control of claim 7, wherein the regulation and control scheme for generating microecologics by combining the bacterial wilt prevention and control key microorganisms related to vegetable species and the optimal prevention and control time according to the soil comprehensive evaluation result specifically comprises the following steps:
determining abnormal bacteria species information in the current soil and quantity information of the abnormal bacteria species in the current soil according to the current soil microbial characteristics of a target vegetable planting area and a relative abundance actual change curve of a specific bacteria group corresponding to the current growth stage of a vegetable plant;
establishing a retrieval task according to the abnormal bacteria species information, acquiring applicable microbial agent information through big data retrieval, and generating a microbial agent list by the microbial agent information and an instruction;
constructing a regulation and control scheme generation model based on deep learning, carrying out initialization training on the regulation and control scheme generation model, and importing the soil comprehensive evaluation result and abnormal bacteria type information of the target vegetable planting area into the regulation and control scheme generation model;
the regulation and control scheme generation model generates an application plan of the microbial agent according to the deviation value of each sub-factor in the soil comprehensive evaluation model and the curve deviation, and simultaneously obtains a soil physicochemical improvement scheme according to the current soil physicochemical property of the target planting area;
and generating a micro-ecological regulation and control scheme according to the application plan of the microbial agent and the soil physical and chemical improvement scheme.
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