Smart and predictive agriculture for resilience to climate change
Actual and upcoming climate changes will evidently have the largest impact on agriculture crops cultivation in terms of reduced harvest, increased costs, and necessary deviation from traditional farming. The project goal is to develop mathematical models of different growth stages of wheat by applying the artificial intelligence and utilize it for prediction of crop development and harvest. Analysis of the big data will be carried out with respect to various climate conditions, artificially created and permuted in the prototyping chambers, and corelated with plant development identifiers in different growth stages. The models will be publicly and interactively used through a portal for prediction of plant development in real and hypothetical climate conditions, with accumulated and archived feedback from farmers as additional data for tuning of the developed models.