System Requirements Document (SRD)

Project Name: ಕೃಷಿ ಸ್ಪಂದನ

1. Introduction

The ಕೃಷಿ ಸ್ಪಂದನ project aims to develop a comprehensive web application called the Agriculture Market Price Information System. This system is designed to provide farmers, traders, and researchers with real-time market price information, crop recommendations, and market demand forecasting. By leveraging advanced analytics and machine learning, the platform will empower users to make informed decisions, optimize agricultural practices, and enhance market transparency.

This document outlines the system requirements for the project, tailored to the needs of users in India (IN), with localization features and a focus on accessibility across diverse user types. The name ಕೃಷಿ ಸ್ಪಂದನ reflects the agricultural essence and regional identity, ensuring resonance with the target audience.

2. System Overview

The Agriculture Market Price Information System, branded as ಕೃಷಿ ಸ್ಪಂದನ, is a full-stack web application that integrates a robust database, user-friendly interface, and advanced analytics. Key features include:

• Market Price Information: Real-time updates on crop prices across various markets.
• Recommendation System: Suggestions for profitable crops based on historical trends and user preferences.
• Market Demand Forecasting: Predictions of future crop prices and demand using machine learning models.
• Data Visualization: Graphical representation of price trends and forecasts for better analysis.
• Admin Dashboard: Secure management of crop price data and system settings.

The system will be accessible via web browsers and optimized for mobile devices, ensuring usability for farmers in rural areas, traders in urban markets, and researchers in academic institutions.

3. Functional Requirements

User Module

• As a User, I should be able to select crops using a dropdown list.
• As a User, I should be able to view market prices for selected crops in a tabular format.
• As a User, I should be able to filter results by market name and date.
• As a User, I should be able to view graphical trends of crop prices over time.
• As a User, I should be able to receive crop recommendations based on historical data.
• As a User, I should be able to access market demand forecasts for selected crops.

Admin Module

• As an Admin, I should be able to log in securely to the system.
• As an Admin, I should be able to insert new crop prices into the database.
• As an Admin, I should be able to view and manage user activity logs.
• As an Admin, I should be able to schedule automatic updates for crop prices.

4. User Personas

Farmers

• Description: Individuals seeking real-time crop price information and recommendations to optimize their agricultural practices.
• Needs: Simple interface, regional language support, mobile accessibility, and actionable insights.

Traders

• Description: Market participants looking for price trends and forecasts to make informed buying and selling decisions.
• Needs: Advanced filtering options, graphical analysis, and real-time updates.

Researchers

• Description: Academics and analysts studying agricultural economics and market trends.
• Needs: Detailed dashboards, downloadable reports, and access to historical data.

Admins

• Description: System managers responsible for maintaining data integrity and overseeing platform operations.
• Needs: Secure login, data management tools, and scheduling capabilities.

5. Visuals Colors and Theme

Color Palette

• Background: #F4F1E6 (Soft Beige)
• Surface: #FFFFFF (Pure White)
• Text: #2E3A3F (Deep Charcoal Gray)
• Accent: #FF7F50 (Coral Orange)
• Muted Tones: #A9B9A7 (Muted Olive Green)

Theme

The theme will reflect the agricultural context with earthy tones and vibrant accents to highlight actionable insights. The design will prioritize simplicity and responsiveness for accessibility across devices. The name ಕೃಷಿ ಸ್ಪಂದನ will be prominently displayed across the web pages to reinforce the brand identity.

6. Signature Design Concept

Concept: Interactive Agricultural Landscape

The homepage will feature an interactive agricultural landscape that immerses users in a visually engaging experience.

• Visuals:

  • A dynamic illustration of a farm with animated crops, markets, and weather elements.
  • Interactive hotspots (e.g., clicking on a crop field opens price trends for that crop).
  • A collapsible sidebar for filters like crop type, region, and date range.

• Interactions:

  • Users can hover over hotspots to view quick summaries (e.g., "Top Crop Recommendations").
  • Clicking a hotspot opens a detailed view with graphs, recommendations, and forecasts.
  • Real-time updates animate price changes directly on the landscape.

• Animations:

  • Subtle animations for hotspots and graphs to make data exploration visually engaging.
  • Micro-interactions like button hover effects and smooth scrolling.

This bold design will make the platform visually engaging and instantly memorable, ensuring users feel immersed in the data exploration experience.

7. Non-Functional Requirements

• Performance: The system should handle up to 10,000 concurrent users without latency.
• Scalability: Support future integration of additional features like weather data and blockchain.
• Security: Implement encryption for sensitive data and secure authentication mechanisms.
• Localization: Provide support for regional languages and currency formats.
• Accessibility: Ensure compliance with WCAG 2.1 standards for web accessibility.

8. Tech Stack

Frontend

• HTML and CSS for Web
• Chart.js for graphical data visualization

Backend

• Python
• Flask

Database

• MySQL (preferred)
• Alembic for migrations

AI Models

• GPT 5.4 for user-friendly responses
• Gemini 3.1 Pro for recommendations

AI Tools

• Langchain
• Litellm for LLM Routing

Orchestration

• Docker and docker-compose for local development

9. Assumptions and Constraints

• Assumptions:

  • Users will have basic internet access to use the platform.
  • Farmers may prefer mobile access over desktop.

• Constraints:

  • Real-time data updates depend on the availability of external APIs.
  • Forecasting accuracy may vary based on data quality and model training.

10. Glossary

• Crop Recommendation: Suggestions for crops based on profitability and market trends.
• Market Demand Forecasting: Predictions of future crop prices and demand using machine learning.
• WCAG: Web Content Accessibility Guidelines.
• ARIMA: AutoRegressive Integrated Moving Average, a statistical model for time series forecasting.
• LSTM: Long Short-Term Memory, a type of neural network for sequence prediction.