Adoption of computer-based technology (CBT) in agriculture in Kentucky, USA: Opportunities and barriers

We cond iota iota iota ted a study to tuiderstand the facturs affec upsilon iota.ti Emmen' dec;ei_ns to t se compt ter-based technologies (CBT) so mat feas:ule and farmer-friencUy CB T can be deveioped as farm decision suppon systems to improve faun productiiity and sustainability. We analyzed data from sl : mail and in-person interview surveys from farmers in Kentucky, USA. We used a logistic regression model to identify sociodemographic factors influencing the adoption of CBT in fatm management, production, and marketing by Kentucky farnim. Results sttggest that the higher the fanuer s education level, the nore likely they will use CBT. Younger farmers are nore likely to use CBT than older fanners, and the nore acres a farmer owns, the nore li.:ely they are to iota iota se CBT. The results could help improve education and otttreach strategies to reach otit to farmen N ith innovative farm management and marketing strategies.