AI Based Crop Yield Analysis & Prediction
What it is
Develop an AI powered system that predicts crop yield using environmental factors such as rainfall, temperature, soil conditions, and satellite data to support precision agriculture.
What you can do
- Build machine learning models using agricultural datasets.
- Compare prediction accuracy using different algorithms.
- Identify the environmental factors that most influence crop production.
What to show
- Dataset analysis and preprocessing.
- Prediction model performance graphs.
- Crop yield dashboard and recommendations.