Optimizing benefit-risk trade-off in nano-agrochemicals through explainable machine learning: Beyond concentration

An explainable ML-driven MOO approach is proposed for the benefit–risk trade-off of nano-agrochemicals. Results highlight the importance of considering the well-known concentration-dependent effect in conjunction with other key factors.