Nyaberi, H.O.Mutuku, W.N.Malonza, D.M.Gachigua, G.W.Alworah, G.O.2024-03-282024-03-282024-03Nyaberi, H., MUTUKU, W. ., MALONZA, D. ., GACHIGUA, G. ., & ALWORAH, G. . (2024). An optimal control model for Coffee Berry Disease and Coffee Leaf Rust co-infection. Journal of Mathematical Analysis and Modeling, 5(1), 1–25. https://doi.org/10.48185/jmam.v5i1.944https://doi.org/10.48185/jmam.v5i1.944https://ir-library.ku.ac.ke/handle/123456789/27779ArticleIn the 1980s, coffee production in Kenya peaked at an average of 1.7 million bags annually. Since then, this production has declined to the current output of below 0.9 million bags annually. Coffee berry disease (CBD) and Coffee leaf rust (CLR) are some of the causes of this decline. This is due to insufficient knowledge of optimal control strategies for CBD and CLR co-infection. In this research, we derive a system of ODEs from the mathematical model for co-infection of CBD and CLR with control strategies to perform optimal control analysis. An optimal control problem is formulated and solved using Pontryagin’s maximum principle. The outcomes of the model’s numerical simulations indicate that combining all interventions is the best strategy for slowing the spread of the CBD-CLR co-infection.enCoffee Berry DiseaseCoffee Leaf RustOptimal controlNumerical SimulationArticle