A Comprehensive Tool to Empower Farmers with Digital Technology and Data-Driven Insights
Developed as part of the Python for Engineers SCE during Semester I, AY 2023-24, AgriPy combines the power of Python, machine learning, and real-time data to address critical challenges in modern farming.
- 🌊 Water Management: Automated irrigation using weather data for optimal resource utilization.
- 🌾 Crop Yield Prediction: Predict crop yields through linear regression.
- 🦠 Plant Disease Detection: Diagnose crop health using image processing with OpenCV.
- 🚚 Logistics & Supply Chain: Simplified order management and billing for streamlined operations.
- 📈 Crop Simulation: Predict crop growth based on real-time weather conditions.
- 🐄 Livestock Management: Track and manage animal health digitally.
- Tkinter: For creating a user-friendly GUI.
- OpenCV: For image processing in plant disease detection.
- NumPy & Pandas: For data handling and processing.
- OpenWeatherMap API: Provides real-time weather and soil data.
- Tools to analyze crop health visually and quantitatively.
- 🌟 User-Friendly GUI:
- Built with Tkinter, offering an intuitive, visually appealing, and interactive design.
- 📊 Data-Driven Decisions:
- Empower farmers with modules powered by machine learning and API integrations.
- 🌱 Sustainability:
- Supports informed farming practices for better yields and efficient resource management.