Agrisphere : Smart Farming Solutions For Better Yields
Keywords:
Crop Prediction SystemAbstract
This project is a Crop Prediction System developed using React (frontend) and Node.js with Express (backend). It predicts the most suitable crop for cultivation based on user-inputted environmental parameters such as nitrogen, phosphorus, potassium, temperature, humidity, pH, and rainfall. The frontend collects user data and sends it to the backend via a POST request, where the server processes it and returns a crop prediction along with crop details like description and image. Additional features include a to-do list for task management and a Google search bar for easy web browsing. A visualization component graphically displays the user's input data for better analysis. The project structure separates frontend and backend concerns clearly, enhancing maintainability. Users interact through a simple web interface hosted locally. Future improvements could involve integrating an actual machine learning model, expanding the crop database with more details and images, enhancing visualizations with advanced charts, and adding user authentication for a personalized experience.
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References
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