Maple Syrup Production Predictor

🎯 BRIEF

The goal of the project was to build a multivariate time series forecaster to predict the production quantity of Maple Syrup for 2021 considering different factors that affect its production—Daily Precipitation, Daily Soil Moisture, Daily Temperature, and Eight Day NDVI (Normalized Difference Vegetation Index). Different metrics were used to assess the causality and stationarity of different time series and to build the most suitable Vector Auto Regressive model.

 GitHub → 

🔧 TOOLS

Python, statsmodels, numpy, pandas, seaborn, Matplotlib

🤝 CONTRIBUTION

🏆 TAKEAWAYS

📷 SCREENSHOTS

Forecasted Time Series

Individual Feature Time Series