How can I run AquaCrop standalone on a daily step using real-time weather data?

[behnamandarzian]

I want to use AquaCrop for a project that requires the model to run automatically using real-time data uploaded from weather stations or data loggers. The issue is that the model requires complete weather data (Tmax, Tmin, ET0, and rainfall) for the entire crop growth cycle when it runs. This is because the model is calibrated or parameterized for a specific crop, with all parameters (phenological stages, crop growth traits, and yield parameters) adjusted for a complete growth season.

In the current setup, the model uses historical weather data stored in a file. However, in this project, I need the model to run on a day-by-day basis using real-time weather data uploaded from weather stations or obtained from data loggers to simulate real-time crop growth and provide real-time irrigation suggestions.
Do you have any suggestions for my issue?

[eyage]

AquaCrop is not suitable for your ‘real-time day-by-day simulation’ needs, you may consider crop water/growth prediction models based on empirical formulas and machine learning, which are more suitable for real-time data-driven and automated decision-making.