Smart Garden Simulation System (OOAD-based)

A Smart Garden Simulation System designed using Object-Oriented Analysis & Design (OOAD) principles to model, monitor, and control garden components such as plants, sensors, irrigation, and environmental conditions through a modular and extensible architecture.

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🚀 Quickstart (30 seconds)

1. Open the project in IntelliJ IDEA / Eclipse
2. Run the Main Simulation Controller
3. Configure garden parameters (plants, sensors, watering rules)
4. Observe real-time garden behavior simulation

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✨ Key Features

• Object-oriented modeling of garden entities (plants, sensors, irrigation controllers)
• Rule-based irrigation logic driven by environmental conditions
• Modular and extensible system architecture
• Clear separation of responsibilities using OOAD principles
• Simulation-driven execution without physical hardware dependency

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🧠 Architecture Overview

High-Level Diagram

User / Simulation Controller
            |
            v
     Garden Manager
            |
   -------------------
   |        |        |
 Plant   Sensor   Irrigation
 Models  System    Controller
   |        |        |
 Environment State & Rules Engine

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Garden Manager

• Acts as the central coordinator of the system
• Manages lifecycle of plants, sensors, and irrigation components
• Applies business rules and advances simulation steps

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Sensor System

• Simulates environmental sensors (soil moisture, temperature, humidity)
• Feeds real-time environmental data into the system
• Designed for easy extension with new sensor types

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Irrigation Controller

• Decides watering actions based on sensor readings
• Implements strategy-based decision logic
• Prevents overwatering and optimizes resource usage

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Plant Models

• Encapsulate plant-specific attributes and behavior
• React dynamically to environmental conditions
• Follow strict encapsulation and abstraction principles

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🧠 Design Patterns Used

Pattern	Where Used	Purpose
Singleton	Garden Manager	Ensures a single coordination point for the simulation
Strategy	Irrigation Controller	Enables flexible watering decision algorithms
Observer	Sensor System → Controllers	Propagates environmental updates reactively
Factory	Plant / Sensor creation	Decouples object creation from business logic

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🧩 OOAD & SOLID Principles Applied

• SRP – Each class has a single, well-defined responsibility
• OCP – New plant or sensor types can be added without modifying existing logic
• DIP – Controllers depend on abstractions, not concrete implementations
• Clear separation between domain models, control logic, and simulation flow

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📌 Future Enhancements

• GUI dashboard using JavaFX or web frontend
• Integration with real IoT sensors
• Persistence layer for historical data
• Automated testing for simulation scenarios