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aminbrahmi/FARMWISE

Domaine:

agriculture
Créateur:
ami
Hôte:
The FARMWISE project harnesses advanced data science techniques to optimize agriculture in Tunisia. By integrating predictive modeling, deep learning, and clustering, it provides farmers with intelligent recommendations for irrigation, fertilization, crop selection, and disease management. # 🌾 Farmwise Project ## 📌 Overview Agriculture faces growing challenges, including climate change, resource optimization, and food security. The **Farmwise** is an academic project for the 4th year of Data Science Engineering at **Esprit**. This project leverages **data science** to provide actionable insights that help farmers and agricultural businesses enhance productivity and sustainability. ## 🎯 Objectives - **📈 Predict Crop Yields**: Utilize machine learning models to forecast agricultural output. - **💧 Optimize Resource Usage**: Improve efficiency in water, fertilizer, and pesticide consumption. - **🌍 Analyze Climate Impact**: Study weather patterns and their effects on farming. - **📉 Reduce Losses**: Develop strategies to minimize production cycle wastage. ## 🛠️ Tech - **Languages & Frameworks**: Python, Machine Learning, Deep Learning, Web Development - **Key Areas**: Data Analysis, Artificial Intelligence, Data Visualization, Open Source, Education - **Data Sources**: Satellite imagery, weather APIs, government agricultural datasets - **Tools**: Jupyter Notebook, Git, and more ## 🌱 Team | Role | Member | Contact | |--------------------|----------------------|--------------------------------------| | **Solution Architect** | Sana Khiari | sana.khiari@esprit.tn | | **Solution Architect** | Mehdi Bchir | mehdi.bchir@esprit.tn | | **Data Scientist** | Oumaima BenHaj | benhaj.oumaima@esprit.tn | | **Project Manager** | Mohamed Amine Brahmi | brahmi.mohamedAmine@esprit.tn | | **Project Lead** | Ines Neji | neji.ines1@esprit.tn | | **Data Scientist** | Sarra Bouden | sarra.bouden@esprit.tn | --- ## 🙌 Acknowledgments - 🎓 **ESPRIT** for academic guidance. - 🔧 **Open-source communities** for tools like TensorFlow and Pandas. - 🌱 **Farmers & Agronomists** who shared their domain expertise.