Predictive Modeling for Agriculture
Use supervised machine learning and feature selection to help farmers choose the best crop for their soil.
A farmer needs to select the best crop for his field but can only measure one of four key soil features due to budget limits: nitrogen, phosphorous, potassium, or pH level. Your task is to identify the most important feature to predict the best crop accurately.
- Apply feature selection techniques to agricultural data.
- Analyze soil properties affecting crop prediction.
- Use supervised learning methods with scikit-learn.
- Help solve real-world farming challenges with machine learning.