From conventional to smart: Farmers’ preferences under alternative policy scenarios

Abstract

This study investigates the impact of ex-ante policy scenarios on conventional farmers' intentions to adopt smart farming applications and identifies influential factors. Through survey data collected from 117 conventional farmers, three scenarios (no support, cash support, credit support) were presented to determine their intention to adopt smart farming. The findings reveal that financial support significantly boosts farmers' intention to adopt these technologies. Additionally, farm income, knowledge, and inheritor positively influence adoption, while education and age hinder it. To promote the adoption of smart farming systems, we recommend providing educational programs to increase farmers' knowledge and offering financial benefits to offset the costs of purchasing and installing the systems. Our findings are relevant for developing countries, such as Türkiye, that are transitioning to smart farming and can inform policies that facilitate the adoption of smart farming systems.