CN114595995A - Tobacco agricultural planting management method - Google Patents
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Abstract
The invention relates to a tobacco agricultural planting management method, which is applied to a tobacco agricultural planting management system, wherein the system comprises a cloud server and a mobile terminal APP, and the mobile terminal APP acquires tobacco planting plot information and uploads the tobacco planting plot information to the cloud server; the cloud server monitors vegetation growth of the tobacco planting plots in real time, binds monitoring results with plot numbers and contract numbers, dynamically updates the monitoring results to a tobacco planting contract management platform, and provides comprehensive information query of the tobacco planting plots. The method has the advantages that the land right of the tobacco planting plots is confirmed through the intelligent terminal APP, tobacco planting information of the plots can be dynamically updated by applying a tobacco agricultural remote sensing monitoring method, the growth of tobacco is dynamically monitored in real time, monitoring results are uploaded to the cloud server, comprehensive information query service and management of the tobacco planting plots are provided, and the technical problems that in the prior art, full-flow monitoring cannot be carried out in the tobacco production process, tobacco agricultural production specifications cannot be achieved, and tobacco quality can be traced and strictly controlled by tobacco planting are solved.
Description
Technical Field
The invention relates to the technical field of tobacco agricultural production, in particular to a tobacco agricultural planting management method.
Background
Because the tobacco belongs to special economic crops, China implements a tobacco monopoly system and implements strict control measures on the tobacco. In recent years, along with the progress of scientific technology, a digitalization means is more and more applied to the tobacco industry, wherein the digitalization conversion of tobacco agriculture is realized by fully utilizing advanced informatization technology and means and intelligently transforming a tobacco production working mode and optimizing and reconstructing a tobacco production business process, so that the aims of improving quality and efficiency and increasing the income of farmers are fulfilled. The modern tobacco agricultural planting land right confirmation and contract double-control accurate management are the key for realizing the services of tobacco growers such as optimizing land resource allocation, planning and accurate management of tobacco agricultural production, land circulation, planting contract management, tobacco leaf quality tracing, tobacco grower insurance, agricultural loan and the like.
At present, the tobacco planting contract and land space information (spatial position, area, soil type, land utilization type and the like) lack spatial correlation, so that the contract management cannot be accurate to the land, the authenticity of the contract is difficult to guarantee, the contract implementation condition check cannot be realized, the management of the planting contract and the area is influenced, the tobacco agricultural production specification and accuracy cannot be realized, the tobacco quality tracing and tobacco planting double-control management and the like can not be realized. In addition, the tobacco planting contract management is mainly controlled during tobacco grower subsidy and tobacco purchase, and monitoring of the planting production process is lacked, so that the tobacco contract implementation and the subsidy authenticity cannot be verified; the tobacco leaves have high mobility, and the phenomenon of illegally resale the tobacco leaves sometimes happens, so that the control measures of the whole flow in the production process of the tobacco leaves cannot be implemented.
Therefore, how to realize the accurate management of the right confirmation of the tobacco agricultural planting land and the double control of the contract, and the whole flow management and control in the tobacco production process are realized, so that the technical problems to be solved urgently are achieved at present, and the tobacco agricultural production specification, the tobacco quality traceability and the strict management and control of the tobacco planting are realized.
Disclosure of Invention
The invention aims to provide a tobacco agricultural planting management method, which can realize the accurate management of tobacco agricultural planting land right confirmation and contract double control, realize the whole-flow management and control in the tobacco production process, and realize the tobacco agricultural production standard, tobacco quality traceability and strict management and control of tobacco planting.
The invention provides a tobacco agricultural planting management method, which is applied to a tobacco agricultural planting management system, the system comprises a cloud server and a mobile terminal APP, and the method comprises the following steps: the method comprises the steps that a mobile terminal APP obtains boundary information of a tobacco planting plot, correlation and correction are conducted on the boundary information of the tobacco planting plot, social attribute information of the tobacco planting plot is edited in the mobile terminal APP, and tobacco planting plot information is generated; the mobile terminal APP encrypts the tobacco planting plot information by using symmetric and asymmetric algorithms to generate encrypted tobacco planting plot information; uploading the encrypted tobacco planting plot information to a cloud server through the mobile Internet; the cloud server performs topology inspection and attribute information inspection on the encrypted tobacco planting plot information to generate tobacco planting plot data meeting the rules; the cloud server associates the tobacco planting plot data with the natural attributes and the plot numbers of the tobacco planting plots based on a Spatial Join Spatial analysis method to generate comprehensive information of the tobacco planting plots; the cloud server generates an electronic terrain contract map of the tobacco planting terrain based on the high-definition remote sensing image and the comprehensive information of the tobacco planting terrain; the electronic geological contract map provides various information association interfaces and is used for providing comprehensive information query of the tobacco planting plots; the cloud server obtains the spatial distribution and area data of the tobacco planting land to be managed based on multi-source and multi-temporal remote sensing satellite data and a tobacco planting area gridding intelligent remote sensing monitoring model with tobacco phenological characteristics; the cloud server acquires the tobacco vegetation index to be managed, the effective number of tobacco plants in unit area, the biomass of the overground part and the coverage degree of tobacco in real time, dynamically evaluates the growth vigor and the yield of the tobacco according to the acquired tobacco vegetation index, the effective number of tobacco plants in unit area, the biomass of the overground part of the tobacco and the coverage degree of the tobacco, and generates a monitoring result; and the cloud server binds the monitoring result with the plot number and the contract number, and dynamically updates the monitoring result information to the tobacco planting contract management platform.
Further, the cloud server performs topology inspection and attribute information inspection on the encrypted tobacco planting plot information, and the generation of the tobacco planting plot data meeting the rules comprises the following steps: topology inspection is carried out on the encrypted tobacco planting land information by adopting a Topology overlay method; the contour line-based plot vector reconstruction method solves the topological problem of the plot, meets OGC SFS standards and intersection-free constraint rules, and generates tobacco planting plot data meeting the rules.
Further, the cloud server associates the tobacco planting plot data with the natural attributes and the plot numbers of the tobacco planting plots based on a Spatial Join Spatial analysis method, and the generating of the comprehensive information of the tobacco planting plots comprises the following steps: terrain classification, slope, elevation data, irrigation capacity, land type, soil data, soil chemical composition data.
Further, the electronic map provides a plurality of information association interfaces, and the information association interfaces are used for providing comprehensive information query of the tobacco planting plots, and comprise the following steps: the method comprises the following steps of inquiring land parcel number, an electronic land parcel map of a land parcel, the name of a land contractor, the identity card number of the land contractor, leasing, land parcel area, land parcel perimeter, land type data, soil type, soil chemical composition, land parcel position and land planning condition information.
Furthermore, the tobacco planting area gridding intelligent remote sensing monitoring model can acquire the spatial distribution and area data of the tobacco planting land to be managed, the tobacco vegetation index, the effective number of tobacco plants in unit area, the biomass of the overground part and the coverage degree of tobacco, and dynamically evaluate the growth vigor and the yield of the tobacco according to the acquired tobacco vegetation index, the effective number of tobacco plants in unit area, the biomass of the overground part of the tobacco and the coverage degree of the tobacco.
Further, the cloud server binds the remote sensing monitoring result with the plot number and the contract number by using a Spatial Join space analysis method, and dynamically updates the monitoring result information to the tobacco planting contract management platform.
The tobacco agricultural planting management method is applied to a tobacco agricultural planting management system, the system comprises a cloud server and a mobile terminal APP, the right of the tobacco planting land parcel land is confirmed through an intelligent terminal APP and a remote sensing intelligent recognition technology, tobacco planting information is dynamically updated, comprehensive information inquiry service of the land and real-time dynamic monitoring of tobacco growth can be provided, and the technical problems that in the prior art, full-flow monitoring cannot be carried out in the tobacco leaf production process, tobacco agricultural production specifications cannot be achieved, tobacco quality can be traced and strict control over tobacco planting cannot be achieved are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a tobacco agricultural planting management method provided by the present invention;
FIG. 2 shows that the mobile terminal APP encrypts the tobacco planting plot information by using symmetric and asymmetric algorithms to generate encrypted tobacco planting plot information according to an embodiment of the present invention; the method comprises the steps of uploading encrypted tobacco planting land information to a cloud server through a mobile internet;
fig. 3 is a schematic flow chart of a method for generating comprehensive information of a tobacco planting plot by associating tobacco planting plot data with natural attributes and plot numbers of the tobacco planting plot by a cloud server based on a Spatial Join Spatial analysis method according to an embodiment of the present invention.
Detailed Description
In order to make the above and other features and advantages of the present invention more apparent, the present invention is further described below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are for purposes of illustration only and are not intended to be limiting.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that the specific details need not be employed to practice the present invention. In other instances, well-known steps or operations are not described in detail to avoid obscuring the invention.
Because the tobacco belongs to special economic crops, strict control measures need to be implemented on the tobacco. At present, the tobacco planting contract is lack of correlation with plot space information (space position, area, soil type, land utilization type and the like), so that contract management cannot accurately reach a plot, the authenticity of the contract is difficult to ensure, and the verification and management of contract implementation conditions cannot be realized; the tobacco leaves have high mobility, and the phenomenon of illegally resale the tobacco leaves sometimes happens, so that the control measures of the whole flow in the production process of the tobacco leaves cannot be implemented.
Therefore, the present invention provides a tobacco farming management method, which is applied to a tobacco farming management system, where the system includes a cloud server and a mobile terminal APP, as shown in fig. 1 to 3, and includes:
and step S1, the mobile terminal APP acquires boundary information of the tobacco planting plot, the boundary information of the tobacco planting plot is correlated and corrected, social attribute information of the tobacco planting plot is edited in the mobile terminal APP, and the tobacco planting plot information is generated.
The scheme provides two application modes, wherein the first mode comprises the following steps: and positioning the boundary information of the tobacco planting land through the mobile terminal, and performing boundary information modification and social attribute information editing on the tobacco planting land to generate the tobacco planting land information. Specifically, the mobile terminal APP receives a plot boundary intelligent identification method based on multi-source and multi-temporal remote sensing satellite data and an intelligent ecological cell theory to obtain a tobacco planting plot high-definition remote sensing image and tobacco planting plot boundary information, and then boundary information modification and social attribute information editing are carried out on the tobacco planting plot to generate tobacco planting plot information. The information including the plot number, the land ownership information, the lease relation, the family condition of the grower, the plot area, the perimeter, the altitude, the acquisition time, the uploading time, the equipment mac address, the acquisition personnel and the like can be edited.
In a second mode: the method comprises the steps that a user holds a mobile terminal provided with an APP, walks to collect boundary information of a tobacco planting plot, and carries out social attribute information editing on the tobacco planting plot to generate tobacco planting plot information; the method comprises the steps that the APP of the mobile terminal obtains the position information of the mobile terminal in real time. The method specifically comprises the following steps:
step S11, collecting boundary information of the plot by walking through a mobile terminal provided with an APP and held by a user, and generating first measurement area information of the plot; the method comprises the steps that the APP of the mobile terminal obtains the position information of the mobile terminal in real time.
Step S12, the farmer information, land circulation information, management and management information, administrative division information and the like of the land parcel are edited through the attribute collection editing function of the mobile terminal APP, wherein the attribute collection editing comprises the following steps: the method comprises the steps of land parcel number, land ownership information, lease relation, grower family condition, land parcel area, perimeter, altitude, acquisition time, uploading time, equipment mac address and acquisition personnel information. The rule of the plot numbering is based on the identity card number of the land contractor, the number of digits is 20 digits, and the number is composed of 18 digits of the identity card number and 2 digits of the plot coding.
Preferably, in step S11, the mobile terminal with APP installed thereon is held by a user, and the boundary information of the walking collection plot includes:
step S111, continuously recording the position coordinates of the terminal until the acquisition is terminated; wherein the position coordinates of the terminal are recorded every 1 second.
In an optional embodiment, a high-definition remote sensing image of the tobacco planting plot and boundary information of the tobacco planting plot can be obtained by adopting a plot boundary intelligent identification method based on multi-source and multi-temporal remote sensing satellite data and an intelligent ecological cell theory.
Step S2, encrypting the tobacco planting plot information by the mobile terminal APP through a symmetric algorithm and an asymmetric algorithm to generate encrypted tobacco planting plot information; and uploading the encrypted tobacco planting plot information to a cloud server through the mobile Internet. Specifically, the method comprises the following steps:
step S21, the cloud server generates a private key and a public key pair, and sends the public key to the mobile terminal.
And step S22, the mobile terminal generates a symmetric key according to the public key, encrypts the symmetric key through the public key and sends the encrypted symmetric key to the cloud server.
In step S23, the server encrypts the message using the symmetric key of the mobile terminal, and then sends the message to the mobile terminal.
The scheme adopts two encryption modes of RSA and AES encryption, and realizes encryption communication between the mobile terminal and the server terminal. The traditional method is that the mobile terminal and the server both adopt an asymmetric encryption method for encryption and decryption, and because the speed of asymmetric encryption and decryption is slower than that of symmetric encryption and decryption and the amount of spatial information data is relatively large, the traditional method is difficult to meet the application requirements under the condition of limited performance of the mobile terminal. The scheme comprehensively applies RSA and AES encryption, and can effectively solve the problem of encryption communication between the mobile terminal and the server terminal.
And step S3, the cloud server performs topology inspection and attribute information inspection on the encrypted tobacco planting plot information to generate tobacco planting plot data meeting the rules.
Preferably, Topology inspection is carried out on the encrypted tobacco planting plot information by adopting a Topology overlay method; the contour line-based plot vector reconstruction method solves the topological problem of the plot, meets OGC SFS standards and intersection-free constraint rules, and generates tobacco planting plot data meeting the rules.
Specifically, a method for reconstructing a parcel vector based on a contour line can be adopted to solve the problem of parcel topology, such as: the problem of adjacent landmass stack, the repeated problem of uploading of landmass, the problem of land mass adhesion, the problem of uploading of many people of the same landmass, "8" font landmass problem etc. to satisfy the standard and the no intersection constraint rule of OGC SFS simple factor standard.
And step S4, the cloud server associates the tobacco planting plot data with the natural attributes and the plot numbers of the tobacco planting plots based on a Spatial Join Spatial analysis method to generate comprehensive information of the tobacco planting plots. The method comprises the following steps: terrain classification, slope, elevation data, irrigation capacity, land type, soil data, soil chemical composition data.
Specifically, the method can comprise the following steps:
and step S41, generating Digital Elevation Model (DEM) data, which is abbreviated as DEM data, according to the boundary information of the tobacco planting plot.
And step S42, obtaining regional terrain classification, gradient and slope spatial distribution data of the land parcel based on the DEM data terrain feature analysis method.
And step S43, acquiring water resource data of the region around the plot based on the multi-source remote sensing satellite data, constructing a water resource bearing capacity analysis model, and analyzing the irrigation capacity of the water source environment around the plot.
Specifically, a quintuple coefficient method and a fuzzy comprehensive analysis method based on a set pair analysis theory can be adopted to construct a water resource bearing capacity analysis model, and the model expresses the spatial influence of water source environment (a pool, a cellar, a pond dam, a ditch, a reservoir, a river and the like) irrigation by adopting an exponential distance decay function.
And step S44, obtaining land types and soil data of the land parcel based on the multi-source remote sensing satellite data.
Specifically, the scheme can adopt the existing plots with the spatial resolution of 10m to utilize type remote sensing monitoring product data as the preset plot type data (including irrigated paddy fields, strewn fields, irrigated land, dry land, vegetable lands, orchards, mulberry gardens, tea gardens, wooded lands, shrub woodland, sparse lands, natural grasslands and artificial grasslands) and the like. The existing soil type spatial distribution data are adopted as the preset soil type data (including red soil, yellow soil, rice soil, purple soil, red soil purple, light sandy soil, lime rock soil, putty soil and the like) of the plot.
And step S45, measuring the soil chemical composition, and generating soil chemical composition content spatial distribution data of the land parcel according to the soil chemical composition.
Specifically, the method can adopt soil sampling measurement to obtain Soil Organic Carbon (SOC) content, soil organic matter (SO) content and soil chemical component content (K potassium, Mg magnesium, active nitrogen N and active phosphorus P, PH values), and a spatial difference method is applied to obtain spatial distribution data of the Soil Organic Carbon (SOC) content, the soil organic matter (SO) content and the soil chemical component content.
Step S46, associating the basic information of the plot with the natural attributes and the number of the plot based on a Spatial Join space analysis method to generate comprehensive information of the tobacco planting plot; the natural attributes of the land comprise irrigation capacity of a water source environment around the land, land types and soil data of the land and spatial distribution data of soil chemical composition content of the land.
Step S5, the cloud server generates an electronic terrain contract map of the tobacco planting terrain based on the high-definition remote sensing image and the comprehensive information of the tobacco planting terrain; the electronic geological contract map provides various information association interfaces and is used for providing comprehensive information query of the tobacco planting plots.
Specifically, the scheme takes a high-definition remote sensing image as a base map, takes the longitude and latitude of the center of a plot as a map center, and sets a buffer area to generate an electronic plot of the plot; the electronic terrain contract map comprises information such as a terrain number, a scale, a north indicator, a terrain boundary outline map, a farmer name, a terrain area, land circulation information, a surrounding terrain outline and the like. In addition, the electronic map also provides a plurality of information association interfaces, and the information association interfaces are used for providing comprehensive information query of the tobacco planting plots, and comprise the following steps: and inquiring information such as land parcel number, land parcel electronic contract picture, land contractor name, land contractor identity card number, leasing, land parcel area, land parcel perimeter, land type data, soil type, soil chemical composition, land parcel position, land planning condition and the like.
In addition, the electronic terrain contract interface also provides the function of binding on-line terrain block numbers and contract numbers, when a tobacco planting contract is signed, the identity card number is input, a plurality of terrain block information under the name of the tobacco planting contract can be inquired, and the corresponding terrain blocks are selected through the terrain block numbers, the area, the location, high-definition image base map information on a terrain block contour thematic map, the surrounding terrain blocks and other information, so that the contract numbers and the terrain block numbers are accurately associated.
And step S6, the cloud server acquires the spatial distribution and the area data of the tobacco planting land to be managed based on multi-source and multi-temporal remote sensing satellite data and a tobacco planting area gridding intelligent remote sensing monitoring model with tobacco phenological characteristics.
Specifically, the tobacco planting area gridding intelligent remote sensing monitoring model can acquire spatial distribution and area data of a tobacco planting land to be managed, a tobacco vegetation index, an effective number of tobacco plants in a unit area, aboveground biomass and tobacco coverage, and dynamically evaluate tobacco growth vigor, yield and the like according to the acquired tobacco vegetation index, the effective number of tobacco plants in the unit area, the aboveground biomass of tobacco and the tobacco coverage.
Step S7, the cloud server obtains the tobacco vegetation index to be managed, the number of effective tobacco plants in unit area, the aboveground biomass and the tobacco coverage in real time, dynamically evaluates the growth vigor and the yield of the tobacco according to the obtained tobacco vegetation index, the number of effective tobacco plants in unit area, the aboveground biomass of the tobacco and the tobacco coverage, and generates a monitoring result.
And step S8, the cloud server binds the monitoring result with the plot number and the contract number, and dynamically updates the monitoring result information to the tobacco planting contract management platform.
Specifically, the cloud server may bind the remote sensing monitoring result with a lot number and a contract number by using a Spatial Join space analysis method, and dynamically update the monitoring result information to a tobacco planting contract management platform. The scheme applies a land tobacco planting information dynamic updating technology and is mainly used for dynamically updating the crop planting condition and the growth state on the tobacco planting contract land. Through the information such as whether planting tobacco, tobacco growth vigor on the dynamic update plot to carry out tobacco and plant the relevant service such as the concrete situation of implementing of contract and check, tobacco leaf output estimation and tobacco leaf purchase management and control.
The application of the method in the modern tobacco farming integration management is mainly to collect tobacco field plot boundaries and attribute editing through the tobacco intelligent ecological cell-based tobacco field plot boundary extraction method or the mobile positioning terminal APP. And (3) performing topological inspection on the land parcel spatial data by adopting a Topology overlay method, solving the land parcel topological problem by adopting a contour line-based land parcel vector reconstruction method, and generating land parcel data meeting the OGC SFS and intersection-free constraint rule. And (3) applying a plot attribute and space association method based on Spatial Join to endow the tobacco planting plot with the values of terrain type, land utilization type and soil type. And generating an electronic parcel map based on the high-precision remote sensing image and parcel spatial information. And providing the electronic parcel contract image association service for the tobacco planting contract management through the electronic parcel contract image association interface. And binding the plot numbers with the contract numbers when the modern tobacco agricultural planting contract is signed. Based on multi-source multi-temporal remote sensing data and a tobacco planting area gridding intelligent remote sensing monitoring model based on tobacco phenological characteristics, obtaining tobacco planting plot spatial distribution and area data; dynamically evaluating the growth vigor and the yield of the tobacco based on the tobacco vegetation index, the number of effective tobacco plants in unit area, the biomass of the overground part of the tobacco, the coverage of the tobacco and the like; binding the monitoring result with the plot number and the contract number by applying a Spatial Join space analysis method; on the basis, related services such as checking of specific implementation conditions of tobacco planting contracts, checking of false contracts, implementation of tobacco planting subsidies, estimation of tobacco yield, tobacco purchasing control and the like can be carried out.
The respective technical features described above may be arbitrarily combined. Although not all possible combinations of features are described, any combination of features should be considered to be covered by the present specification as long as there is no contradiction between such combinations.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. A tobacco farming management method is applied to a tobacco farming management system, the system comprises a cloud server and a mobile terminal APP, and the tobacco farming management method is characterized by comprising the following steps:
the method comprises the steps that a mobile terminal APP obtains boundary information of a tobacco planting plot, correlation and correction are conducted on the boundary information of the tobacco planting plot, social attribute information of the tobacco planting plot is edited in the mobile terminal APP, and tobacco planting plot information is generated;
the mobile terminal APP encrypts the tobacco planting plot information by using symmetric and asymmetric algorithms to generate encrypted tobacco planting plot information; uploading the encrypted tobacco planting plot information to a cloud server through the mobile Internet;
the cloud server performs topology inspection and attribute information inspection on the encrypted tobacco planting plot information to generate tobacco planting plot data meeting rules;
the cloud server associates the tobacco planting plot data with natural attributes and plot numbers of the tobacco planting plots based on a Spatial Join Spatial analysis method to generate comprehensive information of the tobacco planting plots;
the cloud server generates an electronic terrain contract map of the tobacco planting plot based on the high-definition remote sensing image and the comprehensive information of the tobacco planting plot; the electronic geological contract map provides various information association interfaces and is used for providing comprehensive information query of the tobacco planting plot;
the cloud server obtains the spatial distribution and area data of the tobacco planting land to be managed based on multi-source and multi-temporal remote sensing satellite data and a tobacco planting area gridding intelligent remote sensing monitoring model with tobacco phenological characteristics;
the cloud server acquires the tobacco vegetation index to be managed, the effective number of tobacco plants in unit area, the biomass of the overground part and the coverage degree of tobacco in real time, dynamically evaluates the growth vigor and the yield of the tobacco according to the acquired tobacco vegetation index, the effective number of tobacco plants in unit area, the biomass of the overground part of the tobacco and the coverage degree of the tobacco, and generates a monitoring result;
and the cloud server binds the monitoring result with the plot number and the contract number, and dynamically updates the monitoring result information to the tobacco planting contract management platform.
2. The method of claim 1, wherein the cloud server performs topology verification and attribute information check on the encrypted tobacco planting lot information, and generating tobacco planting lot data that meets rules comprises:
carrying out Topology inspection on the encrypted tobacco planting land information by adopting a Topology overlay method; the contour line-based plot vector reconstruction method solves the topological problem of the plot, meets OGC SFS standards and intersection-free constraint rules, and generates tobacco planting plot data meeting the rules.
3. The method of claim 1, wherein the cloud server associates the tobacco planting lot data with natural attributes of the tobacco planting lot, a lot number, and generates tobacco planting lot summary information based on a Spatial Join Spatial analysis method comprising: terrain classification, slope, elevation data, irrigation capacity, land type, soil data, soil chemical composition data.
4. The method of claim 1, wherein the electronic terrain contract provides a plurality of information association interfaces for providing the comprehensive information query of the tobacco planting plot comprises: the method comprises the following steps of inquiring land parcel number, an electronic land parcel map of a land parcel, the name of a land contractor, the identity card number of the land contractor, leasing, land parcel area, land parcel perimeter, land type data, soil type, soil chemical composition, land parcel position and land planning condition information.
5. The method according to claim 1, wherein the tobacco planting area gridding intelligent remote sensing monitoring model can acquire spatial distribution and area data of a tobacco planting land to be managed, a tobacco vegetation index, an effective tobacco plant number per unit area, aboveground biomass and tobacco coverage, and dynamically estimate tobacco growth and yield according to the acquired tobacco vegetation index, the effective tobacco plant number per unit area, the aboveground biomass and the tobacco coverage.
6. The method according to claim 1, wherein a cloud server applies a Spatial Join space analysis method to bind the remote sensing monitoring result with a plot number and a contract number, and the monitoring result information is dynamically updated to a tobacco planting contract management platform.
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