benlalaraid/AgraNova-AI-Agriculture

AgraNova – AI-powered notebooks for smarter agriculture in Algeria: Crop recommendation, plant disease detection, and drought prediction using machine learning and satellite data. # 🌾 AgraNova: AI for Sustainable Agriculture in Algeria AgraNova is an AI-driven agricultural toolkit designed to address key challenges in Algeria's farming sector. This repository contains three core Jupyter notebooks demonstrating how machine learning and computer vision can improve agricultural decision-making and resource management. ## 📂 Notebooks Included 1. **Crop Recommendation** - Recommends optimal crops for specific regions based on soil data, weather patterns, and national agricultural priorities. - Uses machine learning models with integration of drought and soil analysis. 2. **Plant Disease Detection** - Identifies plant leaf diseases using a CNN model trained on the PlantVillage dataset. - Offers mobile-app integration for farmers with offline disease diagnosis and treatment suggestions. 3. **Drought and Water Stress Analysis** - Predicts drought conditions using climate reanalysis data (ERA5-Land) and Random Forest classification. - Supports irrigation planning and disaster preparedness with up to 3 months of early warning. ## 🌍 Use Case These notebooks are part of the **AgraNova system**, developed for an Algerian AI competition to build innovative, scalable solutions for food security, climate resilience, and agricultural sustainability. ## 🛠️ Technologies Used - Python, Jupyter Notebook - Scikit-learn, TensorFlow/Keras, OpenCV - CNNs, Random Forest, Decision Trees - Pandas, NumPy, Matplotlib, Seaborn ## 📈 Results Highlights - 🌱 Crop Selection: **98% accuracy** on unseen data - 🔍 Plant disease detection: **83% accuracy** on unseen data - 🌾 Yield prediction: **R² = 0.961** using Decision Tree Regressor - 💧 Drought forecast: **90% accuracy** up to 3 months in advance ## 👨‍🌾 Developed By - Raid Athmane BENLALA - Achref SOUDA - Anis BENSMAIL School: ESTIN – École Supérieure en Technologies de l’Information et du Numérique ## 📜 License This project is licensed under the MIT License. Feel free to fork, modify, and contribute. ## 🤝 Ackno …