Before revision:  The main objectives are to explore whether a hybrid approach (crop modeling + ML) would result in better predictions, investigate which combinations of hybrid models provide the most accurate predictions  and determine the features from the crop modeling that are most effective to be integrated with ML for corn yield prediction.
After revision:  The main objectives are to explore whether a hybrid approach (crop modeling + ML) would result in better predictions, investigate which combinations of hybrid models provide the most accurate predictions , and determine the features from the crop modeling that are most effective to be integrated with ML for corn yield prediction.