Crop Recommendation ML Model

Overview

Developed a machine learning model to recommend crop types based on environmental factors.

Dataset

The dataset used for this project contains the following features:

• Temperature
• pH
• Humidity
• Rainfall
• Nutrient levels (N, P, K)

Model Training

Conducted data preprocessing, feature engineering, and model selection to optimize performance.

Technologies Used

Python, scikit-learn

Results

Achieved an accuracy of 99% in crop recommendation predictions.

Implementation

Implemented the model in a user-friendly web application for easy access and usability.