Bayesian optimization for seed germination.

Background: Efficient seed germination is a crucial task at the beginning of crop cultivation. Although boundaries of environmental parameters that should be maintained are well studied, fine-tuning can significantly improve the efficiency, which is infeasible to be done manually due to the high dimensionality of the parameter space.

Results: Traditionally seed germination is performed in climatic chambers with controlled environmental conditions.