{"id":25926858,"url":"https://github.com/ashishpatel8736/soybean-dss","last_synced_at":"2026-05-12T19:37:31.539Z","repository":{"id":280150115,"uuid":"941123893","full_name":"ashishpatel8736/soybean-dss","owner":"ashishpatel8736","description":"The Soybean Decision Support System (DSS) is a machine learning-powered web application that predicts soybean yield and protein content based on key agricultural parameters. 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Farmers, researchers, and agronomists can use these insights to **optimize productivity** and **enhance crop quality**.\n\n## ✨ Features\n\n✅ **Interactive UI** – Select input presets or manually adjust parameters.  \n✅ **Real-time Predictions** – Get instant soybean yield \u0026 protein estimates.  \n✅ **Easy-to-Read Insights** – Understand predictions with helpful **tips \u0026 visualizations**.  \n✅ **Multiple Presets** – Test different conditions (High/Low Yield \u0026 Protein).  \n✅ **Robust Model** – Trained on real-world **agricultural data** for accuracy.  \n\n## 📂 Project Structure\n\n```\nsoybean-dss/\n├── data/\n│   └── soybean_data.csv        # Dataset used for training\n├── model/\n    ├── soybean_model.pkl       # Trained ML model\n    ├── scaler.pkl  \n    └── train_model.py              # Model training script        # Scaler for feature normalization\n├── logos/\n│   └── train_model.py.png  \n├── app.py                      # Streamlit web application\n├── requirements.txt            # Dependencies\n└── LICENSE                     # License File\n└── README.md                   # Project documentation\n```\n\n## 🛠 Installation\n\n### 1️⃣ Clone the Repository\n\n```bash\ngit clone https://github.com/ashishpatel8736/soybean-dss.git\ncd soybean-dss\n```\n\n### 2️⃣ Create \u0026 Activate Virtual Environment\n\n```bash\npython -m venv .venv\nsource .venv/bin/activate    # Windows: .venv\\Scripts\\activate\n```\n\n### 3️⃣ Install Dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### 4️⃣ Run the App\n\n```bash\nstreamlit run app.py\n```\n\n## 📊 Interpretation Guide\n\n| Yield Prediction | Meaning |\n|-----------------|---------|\n| **High Yield** (\u003e 6000 kg/ha) | Excellent productivity 🚀 |\n| **Average Yield** (3000 - 6000 kg/ha) | Good, but may need adjustments 📊 |\n| **Low Yield** (\u003c 3000 kg/ha) | Requires significant improvement ❗ |\n\n| Protein Content Prediction | Meaning |\n|---------------------------|---------|\n| **High Protein** (\u003c 0.7) | Excellent nutritional quality 💪 |\n| **Moderate Protein** (0.7 - 1.2) | Acceptable balance ⚖️ |\n| **Low Protein** (\u003e 1.2) | Needs improvement! Consider fertilizers 🌿 |\n\n## 👤 Author  \n**Ashish Patel**  \n[![GitHub](https://github.com/ashishpatel8736/soybean-dss/blob/main/logos/icons8-github-50.png)](https://github.com/ashishpatel8736) | [![LinkedIn](https://img.icons8.com/ios-filled/50/0077b5/linkedin.png)](https://www.linkedin.com/in/ashishpatel8736)\n\n\n## 📢 Contributing\n\n💡 Found a bug? Have an idea? Feel free to open an issue or submit a pull request!  \n\n## 📜 License\n\nDistributed under the MIT License. See `LICENSE` for details.\n\n---\n\n🚀 *Happy Farming \u0026 Smart Decision-Making!* 🌾\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashishpatel8736%2Fsoybean-dss","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fashishpatel8736%2Fsoybean-dss","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashishpatel8736%2Fsoybean-dss/lists"}