Smart Environment Monitoring & Control System for Precision Agriculture

CropVerse is an integrated IoT solution combining intelligent hardware sensors with cloud-based analytics to revolutionize post-harvest storage management and reduce agricultural losses.

Our Arduino-based sensor nodes continuously monitor critical storage parameters:

• Temperature sensing - Real-time thermal monitoring
• Humidity tracking - Precise RH% measurement with DHT22/industrial probes
• Methane detection - Early spoilage detection through gas analysis (MQ-x sensors)

Climate Control:

• Exhaust fans (2× 300mm, 1000 CFM) - Automatic ventilation on threshold breach
• Circulation fans (4× 18" industrial) - Uniform air distribution
• Dehumidifier (50-90 L/day) - Moisture control during humid conditions
• Humidifier - Humidity boost when needed
• Cooling blowers (2× ducted) - Targeted cooling along storage trays
• Heating system - Temperature stabilization during cold periods

Preservation Systems:

• Natural preservative release - Controlled dispensing of eugenol & thymol sachets
• PCO air sanitizer - Photocatalytic oxidation (UV+TiO₂) for air purification

• 8 galvanized steel racks - Robust GI tubing/angle construction
• 40 FRP storage trays - Corrosion-resistant, food-grade molded trays
• Solar power system (4-5 kW) - Sustainable energy generation (~20 kWh/day)
• Battery backup (10 kWh Li-ion) - Uninterrupted operation during outages

• Microcontroller: Arduino/Raspberry Pi based control unit
• Relay modules - Automated device switching
• Contactors & surge protection - Safe electrical integration
• WiFi/GSM connectivity - Real-time data transmission to cloud
• Compact JSON protocol - Optimized for low-bandwidth IoT environments

• Continuous 24/7 environmental monitoring
• Automatic ventilation control on threshold exceed
• Ideal humidity balance via coordinated dehumidifier + humidifier operation
• Smart cooling and heating for stable temperature maintenance
• Early spoilage detection through methane spike analysis
• Immediate removal of contaminated air to prevent chain-rotting
• Controlled release of natural preservatives
• Real-time alerts sent to farmer's phone
• Automated system that extends shelf life and reduces losses

• Authenticated device onboarding with unique credentials for each sensor node
• Resilient data ingestion tolerating intermittent connectivity and network issues
• Batch and real-time submission support for flexible deployment scenarios
• Schema validation ensuring data consistency and quality

• Live dashboard updates via Firebase real-time listeners
• Time-series trend analysis with configurable aggregation windows (minute/hour/day)
• Statistical anomaly detection using moving averages and z-score analysis
• Cross-sensor correlation matrices to identify environmental relationships
• Pre-computed aggregations for instant historical query performance
• Interactive data visualization - Charts, graphs, and trend indicators

• Multi-tier threshold configuration (info/warning/critical severity levels)
• Dynamic thresholding with hysteresis to prevent alert flapping
• Complete alert lifecycle management (acknowledgement, escalation, auto-closure)
• Multi-channel notifications via email, SMS, and push notifications
• Smart grouping and throttling to reduce operator alert fatigue

• Context-aware chatbot seeded with current system state and recent events
• Guided troubleshooting workflows for rapid issue resolution
• Natural language queries for system data and historical trends
• Proactive recommendations based on detected patterns and anomalies

• Firebase Authentication integration for secure user identity management
• Role-based access control (operator/admin) with granular permissions
• Firestore security rules enforcing data access policies
• Comprehensive audit logging for compliance and traceability

• Sanity checks filtering malformed or spurious readings
• UTC timestamp normalization with timezone-aware reporting
• Optimized indexing strategy balancing performance and cost
• Configurable retention policies for long-term data archival

┌─────────────────────────────────────────────────────┐
│         IoT Hardware Layer (On-Site)                │
│  ┌──────────────────────────────────────────────┐  │
│  │  Arduino/RPi Controller                       │  │
│  │  - Temp/Humidity/Gas Sensors                  │  │
│  │  - Relay Controls (fans, HVAC, preservatives) │  │
│  │  - Solar Power + Battery Management           │  │
│  └─────────────────┬────────────────────────────┘  │
└────────────────────┼───────────────────────────────┘
                     │ HTTPS/JSON over WiFi/GSM
                     ▼
┌─────────────────────────────────────────────────────┐
│           Firebase Cloud Functions                  │
│  ┌──────────────┐  ┌─────────────┐  ┌───────────┐ │
│  │  Ingestion   │  │ Analytics   │  │  Alerts   │ │
│  │  Service     │  │ Service     │  │  Service  │ │
│  └──────┬───────┘  └──────┬──────┘  └─────┬─────┘ │
│         │                  │                │       │
│         └──────────────────┼────────────────┘       │
│                            ▼                        │
│                    ┌──────────────┐                 │
│                    │   Firestore  │                 │
│                    │   Database   │                 │
│                    └──────┬───────┘                 │
└───────────────────────────┼─────────────────────────┘
                            │ Real-time Sync
                            ▼
                ┌─────────────────────┐
                │   Web Dashboard     │
                │  - Live Monitoring  │
                │  - Analytics Views  │
                │  - AI Chatbot       │
                │  - Alert Management │
                └─────────────────────┘

1. Assemble the physical infrastructure

   • Install galvanized steel racks and FRP trays
   • Mount all HVAC equipment (fans, dehumidifier, humidifier, blowers)
   • Set up solar panels and battery system

2. Wire the IoT controller

   • Connect all sensors to Arduino/RPi (temperature, humidity, methane)
   • Wire relay modules to control fans, HVAC, and preservation systems
   • Install contactors and surge protection
   • Configure WiFi/GSM connectivity

3. Flash Arduino firmware

   • Open arduino/sensor_node/sensor_node.ino in Arduino IDE
   • Configure WiFi credentials and API endpoint
   • Upload to your Arduino board

4. Test hardware systems

   • Verify all sensors are reading correctly
   • Test automated control responses (fan activation, etc.)
   • Confirm data transmission to cloud

1. Clone the repository

git clone https://github.com/yourusername/cropverse-firebase.git
cd cropverse-firebase

2. Install dependencies

cd functions
pip install -r requirements.txt

3. Configure Firebase

firebase login
firebase init

4. Set environment variables

cp .env.example .env.yaml
# Edit .env.yaml with your Firebase credentials and API keys

5. Deploy to Firebase

firebase deploy --only functions

1. Navigate to public directory

cd public

2. Configure Firebase Edit js/firebase-config.js with your Firebase project credentials:

const firebaseConfig = {
  apiKey: "YOUR_API_KEY",
  authDomain: "YOUR_AUTH_DOMAIN",
  projectId: "YOUR_PROJECT_ID",
  // ...
};

3. Serve locally

firebase serve

4. Deploy

firebase deploy --only hosting

1. Register device in admin dashboard
   • Use the admin dashboard to register new devices
   • Note the device credentials for configuration
   • Configure threshold parameters for your crop type

python scripts/simulate_arduino.py --count 100 --interval 5

python scripts/analyze_backend.py

python scripts/seed_firestore.py --dataset sample_farm

pytest tests/ --cov=functions

CropVerse is developed by a dedicated cross-functional team of six engineers and researchers:

We welcome contributions from the community! Please follow these steps:

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Open a Pull Request

• Firebase and Google Cloud Platform teams
• Open-source community for invaluable tools and libraries
• Agricultural experts who provided domain guidance