Plantologica is a smart IoT-powered soil monitoring system integrated with a mobile application to help farmers and plant owners maintain optimal plant health.

The system combines an ESP32 microcontroller with soil sensors to measure key parameters:

• 🌊 Soil Moisture
• 🌾 Nutrient Concentration (NPK)
• ⚖️ Soil pH Levels

Collected data is transmitted to a mobile application, where users select the plant type. The app compares real-time soil readings with predefined optimal ranges and presents results in a clear two-column format:

• Left Column: Ideal values required by the plant
• Right Column: Current soil condition

The application then generates actionable recommendations:

• 💧 Watering strategies when soil is dry
• 🌿 Fertilizer type, amount, and usage instructions when nutrients are insufficient
• 🧪 Soil treatment methods for pH imbalance

Thus, Plantologica acts as a digital assistant for precision agriculture, reducing guesswork, improving yield, and supporting sustainable farming practices.

• 📊 Real-time soil monitoring (Moisture, NPK, pH)
• 🌱 Plant-specific optimal ranges
• 🧾 Clear comparison: Ideal vs. Actual soil condition
• 💡 Intelligent recommendations (water, fertilizer, soil treatment)
• 📈 (Future) Historical trends & data visualization
• 🌦️ (Future) Weather-based irrigation planning
• 🤖 (Future) Automated smart irrigation system

• Controller: ESP32 (Wi-Fi + Bluetooth)

• Sensors:

  • Soil Moisture Sensor 🌊
  • NPK Sensor 🌾
  • Soil pH Sensor ⚖️ (optional in prototype)

• 📲 Plant type selection
• 📲 Fetch real-time sensor data (via Bluetooth/Wi-Fi)
• 📲 Display comparison (Optimal vs. Actual values)
• 📲 Generate actionable suggestions

• Database of optimal soil ranges per plant species
• Rule-based recommendation engine (prototype)
• (Future) AI/ML-powered smart insights

• ESP32 + Soil Moisture Sensor setup
• Arduino sketch for reading values

• Plant selection UI
• Side-by-side comparison layout

• ESP32 → Mobile App via Bluetooth/Wi-Fi

• Rule-based logic (e.g., If Nitrogen < required → Suggest Fertilizer X)
• Future integration with cloud databases

• ESP32 + Soil Moisture Sensor
• Real-time moisture measurement
• Mobile app comparison with ideal plant values
• Simple rule-based watering/fertilizer suggestions

• Hardware: ESP32, Soil Moisture Sensor, NPK Sensor, pH Sensor
• Firmware: Arduino IDE (C/C++)
• Mobile App: Flutter / React Native / Native Android
• Communication: Bluetooth / Wi-Fi (MQTT/HTTP)
• Database (Future): Firebase / Supabase / SQLite

1. User selects plant type (e.g., Tomato) in app
2. App fetches soil data from ESP32
3. App compares values with tomato’s ideal requirements
4. If nutrients are low → Suggest fertilizer type & dosage
5. If moisture is low → Recommend irrigation strategy
6. Farmer acts → Soil balance restored → Higher yield 🌱

[Soil Sensors] → [ESP32 Controller] → [Mobile App] → [User Recommendations]

• 📊 Data history with interactive graphs
• 🌍 Weather-based smart irrigation
• 🤖 AI-powered crop care assistant
• 🚜 Multi-plant farm monitoring
• ☁️ Cloud integration for remote access

We welcome contributions to improve Plantologica!

• Fork the repo
• Create a feature branch
• Submit a pull request

Licensed under the Apache License – free for academic, personal, and commercial use.

• Shadil AM – Project Manager & Developer
• Abhiram – Developer
• Afiq – Developer
• Nayana – Presentation Expert
• Nirajan – Hardware Expert
• Ribin – Hardware Expert

💐 Special Thanks to Gopika for supporting our team.

🚀 Open to collaboration with IoT, agriculture, and mobile app developers.