https://github.com/kartikk-26/kriec-tech-sih-2024
Smart irrigation and crop management system - SIH_2024
https://github.com/kartikk-26/kriec-tech-sih-2024
Last synced: 7 months ago
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Smart irrigation and crop management system - SIH_2024
- Host: GitHub
- URL: https://github.com/kartikk-26/kriec-tech-sih-2024
- Owner: Kartikk-26
- Created: 2024-09-07T05:58:44.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-16T04:56:26.000Z (8 months ago)
- Last Synced: 2025-03-16T05:25:48.112Z (8 months ago)
- Language: HTML
- Homepage:
- Size: 14.2 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# KRiEC-Tech-SIH-2024
## **🌱 Smart Irrigation and Crop Management System - SIH 2024**
### **🌍 Overview**
We proudly participated in the **Smart India Hackathon (SIH) 2024** under the **Hardware Edition** category! 🚀
Our project, **KRiEC-Tech-SIH-2024**, is an innovative **smart irrigation system** designed to optimize water usage in agriculture. By integrating **IoT sensors, real-time weather data, and intelligent decision-making**, our system ensures precise and efficient irrigation, promoting sustainable farming. 🌿💧
### **🔑 Key Features**
- ✅ **Intelligent Irrigation Management** – Determines the exact amount of water required based on real-time environmental factors.
- ✅ **Real-Time Data Monitoring** – Tracks **soil moisture, humidity, and temperature** with IoT sensors.
- ✅ **Dynamic Weather Integration** – Adjusts irrigation schedules using live weather forecasts to prevent water wastage.
- ✅ **Crop & Soil Adaptability** – Customizes irrigation strategies based on different crop types and soil conditions.
- ✅ **Cloud-Based Decision Making** – Uses **Firebase Firestore** to store and analyze data, ensuring smart recommendations.
### **⚙️ How It Works**
Our system collects and processes multiple data points to make irrigation decisions intelligently:
1. **📡 Sensor Data Acquisition** – IoT sensors measure **soil moisture, humidity, and temperature** in real-time.
2. **🌦️ Weather-Based Adjustments** – Retrieves live weather data to dynamically modify irrigation schedules.
3. **📊 Smart Analytics & Recommendations** – Analyzes soil and crop conditions to provide **optimized irrigation strategies**.
4. **☁️ Cloud Integration** – Stores data in **Firebase Firestore**, enabling real-time access and updates.
5. **⚙️ Automated & Manual Control** – Supports **automated irrigation** with a **manual override** option for flexibility.
### **🛠️ Technologies Used**
🔹 **Backend & Database** – Firebase (Firestore Database)
🔹 **Frontend** – HTML, CSS, JavaScript
🔹 **IoT Integration** – Sensors for soil moisture, temperature, and humidity
🔹 **Weather API** – Fetches real-time weather data for intelligent decision-making
### **🚀 Future Enhancements**
- **AI-Powered Predictive Irrigation** – Using machine learning to predict optimal watering schedules.
- **Mobile & Web Dashboard** – A user-friendly dashboard for monitoring and controlling irrigation remotely.
- **Advanced Data Analytics** – Implementing data visualization for better insights and analysis.
### **📜 License**
This project is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for details.
### **🙌 Acknowledgements**
We are grateful to the **Smart India Hackathon 2024** organizers for this incredible opportunity and to all our mentors and teammates for their dedication in bringing this project to life. 🙌✨
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📌 *Note: This project is actively under development. Stay tuned for updates!*