Before revision:  Furthermore, we investigated partial inclusion of APSIM features in the ML prediction models , and we found that soil and weather-related APSIM variables are most influential on the ML predictions followed by crop-related and phenology-related variables.
After revision:  Furthermore, we investigated partial inclusion of APSIM features in the ML prediction models , and we found soil moisture related APSIM variables are most influential on the ML predictions followed by crop-related and phenology-related variables.