This paper examined farmers’ perceptions of the benefits of intercropping with coffee trees and bananas and identified factors that determine the adoption decisions. The study used cross-sectional data collected from 364 farmers producing coffee and bananas in Rwanda. The analysis was done using descriptive statistics, chi-square test, ordered probit regression model, and binary logistic regression model. The Chi-square test indicates significant differences in farmers’ perceptions about the benefits of coffee‒banana intercropping system among adopters and non-adopters of the coffee-banana intercropping system. Adopters of the coffee-banana intercropping system have a significant marginally higher perception of the benefits of this cropping system. The ordered probit regression results show that age, education, land tenure, livestock ownership, and drought stress variables significantly enhance the likelihood of perceiving the benefits of coffee‒banana intercropping system. The results from the binary logistic regression model show that age, household size, and drought stress positively affect the adoption decisions for the coffee‒banana intercropping system, while gender, group membership, and farm size decrease the likelihood of adoption. Results imply the need for policy to strengthen rural education to promote and create awareness about the benefits of the coffee‒banana intercropping system.

Coffee–banana intercropping, perceptions, farming system adoption, smallholder farmers, Rwanda