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AJAY _ Synopsis-1(1).pdf for project report for bca
1. INDEX
1. Title of the Project
2. Introduction
3. Objective
4. Data Model Description
5. Data Flow Diagram
6. ER Diagram
7. Report Generation
8. Software Testing
9. Tools/Platform, Hardware and Software
10. Scope of the Project
11. Bibliography
3. INTRODUCTION
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• Background:
• Agriculture is a vital sector globally, contributing significantly to economies and
livelihoods. However, farmers face numerous challenges ranging from
unpredictable weather patterns to market uncertainties. A "Farming Assistance
Web Service" aims to address these challenges by leveraging technology to
provide comprehensive support to farmers.
• Purpose:
• The primary purpose of the web service is to empower farmers with tools and
information that enhance their decision-making processes, increase
productivity, and improve overall farm management.
4. OBJECTIVE
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• The objective of the Farming Assistance Web Service is to empower farmers by
providing them with comprehensive support through a digital platform. This includes
enabling informed decision-making on crop management, mitigating risks associated
with weather and pests, and facilitating financial planning and access to resources.
The web service aims to optimize resource usage, foster community collaboration,
and promote sustainable agriculture practices. Additionally, it seeks to encourage the
adoption of technology among farmers, ensuring data security and privacy, while
continuously innovating with emerging technologies like AI. Ultimately, the goal is to
enhance the overall efficiency, profitability, and sustainability of agriculture.
5. DATA MODEL DESCRIPTION
• Data models are visual representations of an enterprise’s data elements and
the connections between them. By helping to define and structure data in the
context of relevant business processes, models support the development of
effective information systems. They enable business and technical resources
to collaboratively decide how data will be stored, accessed, shared, updated
and leveraged across an organization.
List of Table
1. User:
2. Crop:
3. WeatherData:
4. MarketData:
5. FinancialData:
6. CooperativeManagement:
6. USER TABLE 6
FIELD DATA TYPE CONSTRAINT
ID Int Primary Key
First_Name Character(20) NOT NULL
Last_Name Character(20) NOT NULL
Date_of_Birth Date NOT NULL
Address Character(20) NOT NULL
Mobile_No Number NOT NULL
FIELD DATA TYPE CONSTRAINT
ID Int Primary Key
Email VarChar(20) NOT NULL
FullName VarChar(20) NOT NULL
Password VarChar(20) NOT NULL
Farmer Table
7. CROP TABLE
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Field Data type Constraints
ID Int Primary Key
Crop Name Character Not Null
Crop Price Number Not Null
Crop Image VarChar Not Null
Crop Stick Float Not Null
Field Data type Constraints
Weather ID Int Primary Key
Weather Name Character Not Null
Weather Image VarChar Not Null
Weather Table
8. MARKET TABLE
Market ID Int Primary Key
Market Name Character Not Null
Market Price Number Not Null
Market Stock Number Not Null
Cooperative Management Table
Cooperative Management ID Int Primary Key
Agriculture economy Numbers (05) NOT NULL
Low price Numbers (10) NOT NULL
Labours Numbers (10) NOT NULL
Government programs Character(20) NOT NULL
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Data Flow Diagram
A data flow diagram (DFD) maps out the flow of information for any process or system. It uses defined
symbols like rectangles, circles and arrows, plus short text labels, to show data inputs, outputs, storage
points and the routes between each destination. Data flowcharts can range from simple, even hand-drawn
process overviews, to in-depth, multi-level DFDs that dig progressively deeper into how the data is
handled. They can be used to analyze an existing system or model a new one. Like all the best diagrams
and charts, a DFD can often visually “say” things that would be hard to explain in words
13. MAIN DESCRIPTION OF THE MODULE AND ER DIAGRAM
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All the above mentioned data are stored in backend and can be retrieved reports with filtering options.
ER Diagram:-
An Entity Relationship (ER) Diagram is a type of flowchart that illustrates how “entities” such as people,
objects or concepts relate to each other within a system. ER Diagrams are most often used to design or
debug relational databases in the fields of software engineering, business information systems, education
and research. Also known as ERDs or ER Models, they use a defined set of symbols such as rectangles,
diamonds, ovals and connecting lines to depict the interconnectedness of entities, relationships and their
attributes.
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Report Generation System for Farming Assistance Web Service:
1. Types of Reports:
•Crop Summary Report:
• Provides information on crop selection, planting, and harvesting schedules for a specified period.
•Weather Impact Report:
• Summarizes the impact of weather conditions on crops and suggests adaptive measures.
•Financial Overview Report:
• Offers insights into budget planning, expenses, revenue, and financial forecasts.
•Community Collaboration Report:
• Analyzes participation and contributions in forums and cooperative activities.
2. User-Defined Report Parameters:
•Allow users to customize reports based on criteria such as date range, specific crops, geographical regions,
and financial parameters.
3. Automated Report Scheduling:
•Enable users to schedule automated report generation for regular intervals (daily, weekly, monthly).
•Automatically send reports to users' emails or make them available for download.
4. Interactive Dashboard:
•Provide an interactive dashboard where users can visualize key metrics and trends.
•Include charts, graphs, and maps for a more intuitive understanding of data.
5. Export Options:
•Allow users to export reports in various formats (PDF, Excel, CSV) for offline analysis or sharing with
stakeholders.
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6. Notification System:
•Implement a notification system to alert users when a new report is generated or when predefined
thresholds are reached.
7. Collaborative Reporting:
•Introduce collaborative reporting features where users within a cooperative can access shared reports
for collective decision-making.
8. Security Measures:
•Implement security measures to ensure that sensitive data in reports is accessible only to authorized
users.
•Use secure connections and encryption for report transmission.
9. Integration with External Data Sources:
•Integrate real-time data from external sources (weather APIs, market APIs) to provide up-to-date and
accurate information in reports.
10. Historical Data Analysis:
•Allow users to generate reports that analyze historical data to identify trends and patterns over time.
11. Feedback Mechanism:
•Include a feedback mechanism for users to suggest improvements or additional features for the report
generation system.
12. Scalability:
•Design the report generation system to be scalable, accommodating an increasing volume of data and
users.
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Software testing
Software Testing is a method to assess the functionality of the software program. The process
checks whether the actual software matches the expected requirements and ensures the software is
bug-free.
1. Black Box Testing: Black box testing of testing in which the tester doesn’t have access to the
source code of the software and is conducted at the software interface without any concern with
the internal logical structure of the software known as black-box testing.
1. White-Box Testing: White box testing of testing in which the tester is aware of the internal
workings of the product, has access to its source code, and is conducted by making sure that all
internal operations are performed according to the specifications is known as white box testing.
3. Performance Testing is a type of software testing that ensures software applications to perform
properly under their expected workload. It is a testing technique carried out to determine system
performance in terms of sensitivity, reactivity and stability under a particular workload .
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Scope of the project
The scope of the Farming Assistance Web Service project encompasses various dimensions that
define its objectives, functionalities, and boundaries. The scope outlines what the project aims to
achieve and identifies the limits of its influence.
Farming assistant web service is a web project to help the farmers working with the motive of
greater profitability by direct communication between; farmer-to- supplier and farmer-to-farmer.
This service boosts business communication and brings transparency in the system.
This innovative site allows a good farmer, retailer and supplier communication. It provides an
option of login to farmers and communicates to respective dealers. Farmers are notified
whenever dealers publish an advertisement or offer on the website through Sms message. The
farmers also have an option to submit their grievances and complaints to respective dealers or
authorities using their farmer login on a separate complaints page and authorities will get access
to that page regularly using their login id and passwords.
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Bibliography of project
System Analysis and Design (SAD) :-
IGNOU Reference Book
Introduction to Database Management System:-
IGNOU Reference Book
Introduction to Software Engineering:-
IGNOU Reference Book
www.google.com
www.wikipedia.com