SOIL CLASSIFICATION AND BEST CROP PREDICTION USING MACHINE LEARNING

Algorithms:

1. Soil Classification:

• Leveraging Support Vector Machines (SVM) for accurate soil classification based on features like texture, pH, and nutrient levels.

1. Crop Prediction:

• Utilizing Decision Trees or Random Forest for predicting the best-suited crops based on historical data, considering climate, soil type, and crop characteristics.

Hardware and Software Requirements:

• Hardware: Standard server with ample processing power and storage.
• Software: Operating system (e.g., Linux), Python, Apache web server, and MySQL database management system.