CN112215718A - Wisdom agricultural management and control system - Google Patents

Wisdom agricultural management and control system Download PDF

Info

Publication number
CN112215718A
CN112215718A CN202011096370.1A CN202011096370A CN112215718A CN 112215718 A CN112215718 A CN 112215718A CN 202011096370 A CN202011096370 A CN 202011096370A CN 112215718 A CN112215718 A CN 112215718A
Authority
CN
China
Prior art keywords
submodule
information
module
land
agricultural
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011096370.1A
Other languages
Chinese (zh)
Inventor
沙莎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Heilongjiang Nongerji Technology Co ltd
Original Assignee
Heilongjiang Nongerji Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Heilongjiang Nongerji Technology Co ltd filed Critical Heilongjiang Nongerji Technology Co ltd
Priority to CN202011096370.1A priority Critical patent/CN112215718A/en
Publication of CN112215718A publication Critical patent/CN112215718A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Agronomy & Crop Science (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Animal Husbandry (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

An intelligent agricultural management and control system belongs to the field of agricultural management and is used for solving the problems that existing agricultural condition information cannot be fully shared and relevant matters of farmers are troublesome to handle. The system comprises a user side, a background management side and a cloud server side, wherein the user side comprises a farmer user side and an enterprise user side; the farmer user side comprises a land parcel management module; the enterprise user side comprises an agricultural product purchasing and selling module and an agricultural material selling module; the background management end comprises a user management module and a statistical analysis module, wherein the user management module comprises a user information module and a plot information module; the statistic analysis module comprises a disaster statistical module and a yield analysis module; the cloud server side comprises a big data storage analysis module. The invention can meet different functional requirements of different users, provides a shared agricultural condition information platform for farmers, enterprises, insurance companies, banks, agricultural experts and agricultural management related departments, and plays a role in promoting informatization of agricultural production, operation and management.

Description

Wisdom agricultural management and control system
Technical Field
The invention relates to the field of agricultural management, in particular to an intelligent agricultural management and control system.
Technical Field
Information agriculture is one of important development directions of agriculture modernization, and the rapid development of Internet provides a wide information resource space for agricultural production managers and farmers. At present, the agricultural informatization popularization degree is low, and from the aspect of farmers, the farmers have fewer information acquisition ways, are more complicated to handle relevant matters and lack of guidance of professionals; from insurance companies and banks, when dealing with insurance or commercial loan for farmer land, the land condition is not judged according to enough basis, and the growth vigor of crops cannot be accurately judged, so that the problem that how to meet different functional requirements of different users and provide shared agricultural information for different users is urgent to solve is solved.
Disclosure of Invention
In view of the above problems, the invention provides an intelligent agricultural management and control system, which is used for solving the problems that the existing agricultural condition information cannot be fully shared and related matters are troublesome to handle by farmers.
An intelligent agriculture management and control system comprises a user side, a background management side and a cloud server side, wherein the user side comprises a farmer user side and an enterprise user side; the farmer user side comprises a land parcel management module, and the land parcel management module is used for managing own land parcels by the farmers; the enterprise user side comprises an agricultural product purchasing and selling module and an agricultural material selling module, the agricultural product purchasing and selling module is used for providing agricultural product purchasing or selling information, and the agricultural material selling module is used for providing agricultural material selling information;
the background management end comprises a user management module and a statistical analysis module, wherein the user management module comprises a user information submodule and a land parcel information submodule, the user information submodule is used for checking user information, and the land parcel information submodule is used for checking land parcel information, land parcel growth, insurance application records or loan/repayment records; the statistical analysis module comprises a disaster statistical submodule and a yield analysis submodule, wherein the disaster statistical submodule is used for counting the disaster situation of each region, and the yield analysis submodule is used for counting the yield information of grains and various agricultural products in each region;
the cloud server comprises a big data storage analysis module, and the big data storage analysis module is used for storing and analyzing all data.
Further, the user side further comprises an expert user side, and the expert user side is used for solving or explaining agricultural related problems proposed by farmers by agricultural experts.
Furthermore, the user side also comprises a government department user side, and the government department user side is used for checking and analyzing the disaster situation of the land and the yield information of grains and various agricultural products in various regions.
Furthermore, the farmer client also comprises an agricultural knowledge consultation module and a policy display module, wherein the agricultural knowledge consultation module is used for checking or consulting agricultural knowledge; the policy display module is used for viewing government benefit policies and/or enterprise preference policies.
Furthermore, the enterprise user side further comprises a land parcel information viewing module, an insurance information viewing module and a loan/repayment record viewing module, wherein the land parcel information viewing module is used for an insurance company or a bank to view land parcel information used by farmers for insurance or mortgage; the insurance information viewing module is used for viewing the insurance information of the farmers by the insurance company; and the loan/repayment record checking module is used for checking the related information of the loan of the mortgage land of the peasants by the bank.
Furthermore, the land parcel management module comprises a land information management submodule, a crop growth submodule, a land disaster reporting submodule, a land application submodule and a land mortgage submodule, wherein the land information management submodule is used for checking, adding, modifying or deleting land parcel information; the crop growth submodule is used for checking added plot growth information; the land disaster reporting submodule is used for reporting disaster block information to relevant government departments; the land application submodule is used for applying the protection to the land; the land mortgage submodule is used for mortgaging land to loan banks.
Further, the land parcel information comprises a parcel name, a parcel area, a planted crop, a planted area and a sowing time.
Furthermore, the big data storage and analysis module comprises a plot growth analysis submodule which comprises a remote sensing data acquisition submodule, a remote sensing data preprocessing submodule, a planted crop type extraction submodule, a plot vector information extraction submodule, an attribute input submodule and an operation analysis submodule; the remote sensing data acquisition submodule is used for acquiring satellite image remote sensing data; the remote sensing data preprocessing submodule is used for preprocessing the acquired satellite image, and the preprocessing process comprises radiometric calibration, atmospheric correction, orthometric correction, image registration and image enhancement; the planted crop type extraction submodule is used for classifying and extracting the types of the planted crops by using a remote sensing image classification algorithm; the land vector information extraction submodule is used for extracting a land vector according to the satellite image, wherein the land vector comprises the operations of extraction, drawing, modification, integration and registration of a farmer land boundary, and finally the spatial position information of the land is obtained; the attribute input submodule is used for establishing a complete attribute table for the map block vector layer output by the map block vector information extraction submodule; and the operation analysis submodule is used for performing big data operation analysis on the attribute information of the land parcel.
The invention has the beneficial effects that: the system can meet different functional requirements of different users, provides a shared agricultural condition information platform for farmers, enterprises, insurance companies, banks, agricultural experts and agricultural management related departments, and plays a certain role in promoting informatization of agricultural production, operation and management; furthermore, the big data algorithm model is used for carrying out visual comparative analysis on the growth vigor of the land parcel, so that scientific basis can be provided for the decision of relevant departments of government and agricultural management.
Drawings
The invention may be better understood by referring to the following description in conjunction with the accompanying drawings, in which like reference numerals are used throughout the figures to indicate like or similar parts. The accompanying drawings, which are incorporated in and form a part of this specification, illustrate preferred embodiments of the present invention and, together with the detailed description, serve to further explain the principles and advantages of the invention.
Fig. 1 is a schematic structural diagram illustrating an intelligent agricultural management and control system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram illustrating a plot growth analysis module of an intelligent agricultural management and control system according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described hereinafter with reference to the accompanying drawings. In the interest of clarity and conciseness, not all features of an actual implementation are described in the specification. It will of course be appreciated that in the development of any such actual embodiment, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which will vary from one implementation to another. Moreover, it will be appreciated that such a development effort might be complex and time-consuming, but would nevertheless be a routine undertaking for those of ordinary skill in the art having the benefit of this disclosure. It should be noted that, in order to avoid obscuring the present invention with unnecessary details, only the device structures and/or processing steps closely related to the solution according to the present invention are shown in the drawings, and other details not so relevant to the present invention are omitted.
Detailed description of the invention
As shown in fig. 1, an intelligent agriculture management and control system includes a user side 1, a background management side 2 and a cloud server side 3, where the user side 1 includes a farmer user side 11 and an enterprise user side 12; the farmer client 11 comprises a plot management module 111, an agricultural knowledge consultation module 112 and a policy display module 113;
further, the plot management module 111 is configured to manage farmer's own plots of land, and includes a land information management submodule 1111 configured to view, add, modify, or delete plot information, where the managed information includes, for example, information such as a selected position in a map, an added plot name, a plot area, a planted crop, a planted area, and a seeding time; the crop growth sub-module 1112 is configured to view the added plot growth information, and after the farmers add the plot information to the system, the farmers can view the plot growth information through a satellite remote sensing map, for example, the growth condition can be identified in a color block form, and the historical plot growth map can be viewed at any time for comparison; the land disaster reporting submodule 1113 is used for reporting disaster-affected land parcel information to relevant government departments, if a farmer land encounters a disaster, the disaster information can be reported in the system, information such as a disaster-affected type, a disaster-affected crop, time, a disaster-affected area and the like is filled, and after the reporting is completed, the relevant government departments can check the disaster condition so as to correspondingly subsidize the farmer with the disaster on the land; the land application submodule 1114 is used for applying insurance to the land; the land mortgage sub-module 1115 is used to mortgage land for loan to the bank;
the agricultural knowledge consultation module 112 is used for checking or consulting agricultural knowledge, the system provides rich agricultural knowledge for farmers, and farmers can select different categories to check and ask related crop problems in the system; the policy display module 113 is used for viewing government benefit policies and/or enterprise preference policies;
the enterprise user side 12 comprises an agricultural product purchasing and selling module 121, an agricultural material selling module 122, a land parcel information viewing module 123, an insurance application information viewing module 124 and a loan/repayment record viewing module 125, wherein the agricultural product purchasing and selling module 121 is used for providing agricultural product purchasing or selling information, a user can release purchasing and selling information in the system, and contents such as purchasing types, pictures, purchasing detail information, contact information and the like can be filled in respectively; the agricultural sales module 122 is used for providing agricultural sales information, for example, sales information of seeds, fertilizers, pesticides, agricultural implements, and the like; the land parcel information viewing module 123 is used for an insurance company or a bank to view land parcel information used by farmers for insurance application or mortgage; the insurance information viewing module 124 is used for viewing the insurance information of the farmers by the insurance company; the loan/repayment record viewing module 125 is used for the bank to view the relevant information of the loan of the mortgage land of the peasant;
the background management terminal 2 comprises a user management module 21 and a statistical analysis module 22, wherein the user management module 21 comprises a user information submodule 211 and a plot information submodule 212, the user information submodule 211 is used for checking user information, and the plot information submodule 212 is used for checking plot information, plot growth, insurance application records or loan/repayment records; the statistical analysis module 22 comprises a disaster statistical submodule 221 and a yield analysis submodule 222, wherein the disaster statistical submodule 221 is used for checking the disaster situations of each region, the system can uniformly check the disaster situations of each region through a remote sensing diagram, and can check detailed information through a diagram; the yield analysis submodule 222 is used for checking yield information of grains and various agricultural products in various regions, the system can check the yield information of grains and various agricultural products in various regions according to local cities, historical realization can be checked, and statistical analysis of relevant government departments is facilitated;
the cloud server 3 comprises a big data storage and analysis module 31, the big data storage and analysis module 31 is used for storing and analyzing all data, the system reserves all data information, and regularly analyzes data types such as land plots, planted crops, disaster data, farmer insurance records and the like to form an analysis report, so that actual data and theoretical basis are provided for relevant personnel and decision makers of government departments.
It should be noted that, the user can log in the user side 1 through the wechat applet or the mobile phone APP; the system operation and maintenance personnel can log in the background management terminal 2 through a computer webpage terminal; the user side 1, the background management side 2 and the cloud server side 3 perform data interaction respectively through a wireless communication mode.
Detailed description of the invention
As shown in fig. 1, the intelligent agriculture management and control system of the present embodiment further includes an expert user 13 and a government department user 14, wherein the expert user 13 is used for the agriculture expert to solve or explain the agriculture-related problem proposed by the peasant; the government department user terminal 14 is used for checking and analyzing the disaster situation of the land and the land plots and the yield information of grains and various agricultural products in various regions.
Detailed description of the invention
As shown in fig. 1 and fig. 2, in the intelligent agricultural management and control system according to this embodiment, the big data storage and analysis module 31 includes a plot growth analysis submodule 311, and the plot growth analysis submodule 311 includes a remote sensing data acquisition submodule 3111, a remote sensing data preprocessing submodule 3112, a planted crop type extraction submodule 3113, a plot vector information extraction submodule 3114, an attribute recording submodule 3115, and an operation analysis submodule 3116; the remote sensing data acquisition sub-module 3111 is used for acquiring satellite image remote sensing data; the remote sensing data preprocessing submodule 3112 is configured to preprocess the acquired satellite image, where the preprocessing includes radiometric calibration, atmospheric correction, orthorectification, image registration, and image enhancement; the planted crop type extraction submodule 3113 is configured to perform classified extraction on the types of the planted crops by using a remote sensing image classification algorithm; the plot vector information extraction submodule 3114 is configured to extract a plot vector according to the satellite image, including operations of extraction, drawing, modification, integration, and registration of a farmer plot boundary, and finally obtain spatial position information of the plot; the attribute entry submodule 3115 is configured to establish a complete attribute table for the map block vector layer output by the map block vector information extraction submodule 3114; the operation analysis sub-module 3116 is configured to perform big data operation analysis on the attribute information of the land parcel.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention has been disclosed in an illustrative rather than a restrictive sense, and the scope of the present invention is defined by the appended claims.

Claims (8)

1. The intelligent agricultural management and control system is characterized by comprising a user side, a background management side and a cloud server side, wherein the user side comprises a farmer user side and an enterprise user side; the farmer user side comprises a land parcel management module, and the land parcel management module is used for managing own land parcels by the farmers; the enterprise user side comprises an agricultural product purchasing and selling module and an agricultural material selling module, the agricultural product purchasing and selling module is used for providing agricultural product purchasing or selling information, and the agricultural material selling module is used for providing agricultural material selling information;
the background management end comprises a user management module and a statistical analysis module, wherein the user management module comprises a user information submodule and a land parcel information submodule, the user information submodule is used for checking user information, and the land parcel information submodule is used for checking land parcel information, land parcel growth, insurance application records or loan/repayment records; the statistical analysis module comprises a disaster statistical submodule and a yield analysis submodule, wherein the disaster statistical submodule is used for counting the disaster situation of each region, and the yield analysis submodule is used for counting the yield information of grains and various agricultural products in each region;
the cloud server comprises a big data storage analysis module, and the big data storage analysis module is used for storing and analyzing all data.
2. The intelligent agricultural management and control system of claim 1, wherein the user terminal further comprises an expert user terminal, and the expert user terminal is used for agricultural experts to answer or explain agricultural related questions posed by farmers.
3. The intelligent agricultural management and control system of claim 1, wherein the user terminal further comprises a government department user terminal, and the government department user terminal is used for viewing and analyzing disaster situations of land and yield information of grains and various agricultural products in various regions.
4. The intelligent agricultural management and control system according to claim 1, wherein the farmer client further comprises an agricultural knowledge consultation module and a policy display module, and the agricultural knowledge consultation module is used for viewing or consulting agricultural knowledge; the policy display module is used for viewing government benefit policies and/or enterprise preference policies.
5. The intelligent agricultural management and control system according to claim 1, wherein the enterprise user side further comprises a land parcel information viewing module, an insurance information viewing module and a loan/repayment record viewing module, and the land parcel information viewing module is used for an insurance company or a bank to view land parcel information used by farmers for insurance or mortgage; the insurance information viewing module is used for viewing the insurance information of the farmers by the insurance company; and the loan/repayment record checking module is used for checking the related information of the loan of the mortgage land of the peasants by the bank.
6. The intelligent agricultural management and control system according to any one of claims 1-5, wherein the land parcel management module comprises a land information management submodule, a crop growth submodule, a land disaster reporting submodule, a land application submodule and a land mortgage submodule, and the land information management submodule is used for checking, adding, modifying or deleting land parcel information; the crop growth submodule is used for checking added plot growth information; the land disaster reporting submodule is used for reporting disaster block information to relevant government departments; the land application submodule is used for applying the protection to the land; the land mortgage submodule is used for mortgaging land to loan banks.
7. The intelligent agricultural management and control system according to claim 6, wherein the land parcel information comprises a parcel name, a parcel area, a planted crop, a planted area, and a seeding time.
8. The intelligent agricultural management and control system according to claim 1, wherein the big data storage and analysis module comprises a plot growth analysis submodule, and the plot growth analysis submodule comprises a remote sensing data acquisition submodule, a remote sensing data preprocessing submodule, a planted crop type extraction submodule, a plot vector information extraction submodule, an attribute recording submodule and an operation analysis submodule; the remote sensing data acquisition submodule is used for acquiring satellite image remote sensing data; the remote sensing data preprocessing submodule is used for preprocessing the acquired satellite image, and the preprocessing process comprises radiometric calibration, atmospheric correction, orthometric correction, image registration and image enhancement; the planted crop type extraction submodule is used for classifying and extracting the types of the planted crops by using a remote sensing image classification algorithm; the land vector information extraction submodule is used for extracting a land vector according to the satellite image, wherein the land vector comprises the operations of extraction, drawing, modification, integration and registration of a farmer land boundary, and finally the spatial position information of the land is obtained; the attribute input submodule is used for establishing a complete attribute table for the map block vector layer output by the map block vector information extraction submodule; and the operation analysis submodule is used for performing big data operation analysis on the attribute information of the land parcel.
CN202011096370.1A 2020-10-14 2020-10-14 Wisdom agricultural management and control system Pending CN112215718A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011096370.1A CN112215718A (en) 2020-10-14 2020-10-14 Wisdom agricultural management and control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011096370.1A CN112215718A (en) 2020-10-14 2020-10-14 Wisdom agricultural management and control system

Publications (1)

Publication Number Publication Date
CN112215718A true CN112215718A (en) 2021-01-12

Family

ID=74054283

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011096370.1A Pending CN112215718A (en) 2020-10-14 2020-10-14 Wisdom agricultural management and control system

Country Status (1)

Country Link
CN (1) CN112215718A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114595995A (en) * 2022-03-18 2022-06-07 中国科学院空天信息创新研究院 Tobacco agricultural planting management method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114595995A (en) * 2022-03-18 2022-06-07 中国科学院空天信息创新研究院 Tobacco agricultural planting management method

Similar Documents

Publication Publication Date Title
Tsan et al. The digitalisation of African agriculture report 2018–2019
US20210350295A1 (en) Estimation of crop pest risk and/or crop disease risk at sub-farm level
US20200202127A1 (en) In-season field level yield forecasting
Costopoulou et al. Studying mobile apps for agriculture
US20050096849A1 (en) System and method for managing geospatially-enhanced agronomic data
US20210350128A1 (en) System and method for managing and processing agricultural field data
CN113362192A (en) Agricultural insurance underwriting method, system, equipment and storage medium
US20220343440A1 (en) Agriculture service platform
Mabaya et al. Can digital solutions transform agri-food systems in Africa?
Ngo et al. An efficient data warehouse for crop yield prediction
Becker-Reshef et al. Crop type maps for operational global agricultural monitoring
CN112215718A (en) Wisdom agricultural management and control system
Balkrishna et al. A comprehensive analysis of the advances in Indian Digital Agricultural architecture
Jewiss et al. Satellite remote Sensing data for decision Support in emerging Agricultural economies: How Satellite data can transform Agricultural decision making [Perspectives]
Gaál et al. Where do we stand with digitalization? An assessment of digital transformation in Hungarian agriculture
Karydas et al. Embedding a precision agriculture service into a farm management information system-ifarma/PreFer
Vakulenko et al. Formation of information support system for the management of agricultural enterprises
Chauhan Advantages and challeging in E Agriculture
Sundaram et al. Disaster relief compensation computational framework
Verma et al. [Retracted] Plantosphere: Next Generation Adaptive and Smart Agriculture System
Rao Digital agriculture–a future disruption in India
Mupaikwa The Application of Big Data and Cloud Computing Among Smallholder Farmers in Sub-Saharan Africa
Sumangala et al. Impact of Adopting Machine Learning Methods on Indian Agriculture Industry-A Case Study
Sindhu et al. Information dissemination using computer and communication technologies for improving agriculture productivity
Singh et al. A tool for climate smart crop insurance: Combining farmers’ pictures with dynamic crop modelling for accurate yield estimation prior to harvest

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20210112

WD01 Invention patent application deemed withdrawn after publication