Forecasting Corn Yield with Machine Learning Ensembles

Understand

The emerge of new technologies to synthesize and analyze big data with high-performance computing, has increased our capacity to more accurately predict crop yields.

• Recent research has shown that Machine learning (ML) can provide reasonable predictions, faster, and with higher flexibility compared to simulation crop modeling.
• The earlier the prediction during the growing season the better, but this has not been thoroughly investigated as previous studies considered all data available to predict yields.
• This paper provides a machine learning based framework to forecast corn yields in three US Corn Belt states (Illinois, Indiana, and Iowa) considering complete and partial in-season weather knowledge.