{"id":50495892,"url":"https://github.com/ab007shetty/crop-management-system","last_synced_at":"2026-06-02T07:02:31.124Z","repository":{"id":311160741,"uuid":"618229258","full_name":"ab007shetty/crop-management-system","owner":"ab007shetty","description":"The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers. 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It gives smart suggestions for which crops to grow, what fertilizers to use, predicts rainfall, and estimates crop yield. This helps farmers make better decisions for their land and resources.\n\n---\n\n## 🚀 What Can This System Do?\n\n* 🌱 **Crop Prediction** — Suggests the best crops based on your location and season.\n* 🌾 **Crop Recommendation** — Recommends crops based on soil nutrients and weather.\n* 💊 **Fertilizer Recommendation** — Recommends the right fertilizers for your crop.\n* ☔ **Rainfall Prediction** — Predicts rainfall for a given region and year.\n* 📈 **Yield Prediction** — Predicts how much crop yield you can expect.\n\n---\n\n## 🧰 Technologies Used\n\n* **Python** \u0026 **Machine Learning** (scikit-learn, pandas, numpy)\n* **PHP** (for backend)\n* **HTML/CSS** \u0026 **Bootstrap 4** (for frontend)\n* **JavaScript**\n\n---\n\n## 📦 Installation Guide\n\nFollow these steps to set up the project on your computer:\n\n1. **Clone the Repository**\n   Open your terminal or command prompt and run:\n\n   ```bash\n   git clone https://github.com/ab007shetty/crop-management-system.git\n   ```\n\n2. **Navigate into the Project Folder**\n\n   ```bash\n   cd crop-management-system\n   ```\n\n3. **Install Required Python Libraries**\n   Make sure Python is installed, then run:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n4. **Run Apache Web Server (for PHP Backend)**\n\n   * Download and install [XAMPP](https://www.apachefriends.org/index.html) if you don’t have it.\n   * Open XAMPP Control Panel and start **Apache**.\n   * Move the project to your `htdocs` folder (usually `C:\\xampp\\htdocs` on Windows).\n\n---\n\n## 📊 Datasets Used\n\nThe system uses different datasets for each feature:\n\n### ✅ Crop Prediction\n\n* State, District, Season, Crop\n\n### ✅ Crop Recommendation\n\n* Soil nutrients (N, P, K), Temperature, Humidity, pH, Rainfall\n\n### ✅ Fertilizer Recommendation\n\n* Soil and crop details like Temperature, Soil Type, Moisture, Nutrients\n\n### ✅ Rainfall Prediction\n\n* Rainfall data by month, season, and year for various regions\n\n### ✅ Yield Prediction\n\n* State, District, Year, Crop, Area, and Production data\n\n---\n\n## 🧪 How to Use Each Feature\n\n* **Crop Prediction**\n  Enter: `State`, `District`, `Season`\n  ➡️ Get the most suitable crop to grow.\n\n* **Crop Recommendation**\n  Enter: `N`, `P`, `K`, `Temperature`, `Humidity`, `pH`, `Rainfall`\n  ➡️ Get crop recommendations for your farm.\n\n* **Fertilizer Recommendation**\n  Enter: `Temperature`, `Humidity`, `Soil Moisture`, `Soil Type`, `Crop Type`, `Nitrogen`, `Phosphorous`, `Potassium`\n  ➡️ Get a fertilizer suggestion.\n\n* **Rainfall Prediction**\n  Enter: `Region (Subdivision)` and `Year`\n  ➡️ See rainfall prediction.\n\n* **Yield Prediction**\n  Enter: `State`, `District`, `Year`, `Crop`, `Season`, `Area`, `Production`\n  ➡️ Predict expected yield.\n\n---\n\n## 👥 Contributors\n\n* **AB Shetty**\n* **ChatGPT 3.5 Turbo** (assisted with logic and code)\n\n---\n\n## 📄 License\n\nThis project is licensed under the [MIT License](https://opensource.org/licenses/MIT).\nYou are free to use, modify, and share it.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fab007shetty%2Fcrop-management-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fab007shetty%2Fcrop-management-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fab007shetty%2Fcrop-management-system/lists"}