Assessing the influence of farm inputs on adoption of drought adaptation strategies among robusta and arabica coffee households in Uganda.

Abstract

This research assessed the influence of farm inputs on the adoption of drought adaptation strategies among Robusta and Arabica coffee households in Uganda, taking into account the significant challenges facing African countries south of the Sahara. ANOVA and multiple regression models were used to test the model fit for the variation in farm inputs for the Robusta and Arabica coffee households in Uganda and the variation of drought adaptation strategies adopted among the Robusta and Arabica coffee households in Uganda. A binary logistic model was used to determine the effect of farm inputs on the adoption of drought adaptation strategies among Robusta and Arabica coffee households in Uganda. Additionally, the models helped to understand farmers’ adaptive capacity given their knowledge of the relationship between farm inputs (land, labour, and income) and the adopted drought adaptation strategies. This provided an understanding of the effect of different farm inputs on the strategies adopted, though further research is needed to assess all other farm inputs that farmers use and their effect on the adoption of drought adaptation strategies. This research provides guidance towards the adoption of drought adaptation practises as well as offers information for public extension advice on adaptation strategies at the grassroots among coffee households and communities.