Content Proposal for a Chatbot Module on Climate Change Mitigation in Sugar Beet Production

Sugar beet production is one of the significant agricultural activities contributing to climate change due to its high input costs and capital-intensive nature. This study examines the tendencies of sugar beet farmers regarding methods to mitigate climate change and combines these findings with a proposal for a digital solution. This research, conducted in Konya province, a leading sugar beet production center in T & uuml;rkiye, evaluated farmers' perceptions of climate change mitigation methods using a Likert scale and logistic regression analysis. The findings, categorized into five groups (water management, soil conservation, reduction of carbon emissions, pest control, and other practices), revealed that farmers prioritize practices that provide economic benefits. The logistic regression results showed that farmers' willingness to receive climate change training was significantly associated with their frequency of visits to agricultural institutions (3.20 times more likely), engagement in livestock farming (0.14 times more likely), and their level of concern about climate change (6.17 times more likely). The primary importance of this study lies in its integration of the obtained quantitative findings with digital agricultural solutions. The research results provide a critical foundation for designing a personalized chatbot that can address the needs and tendencies of farmers. The chatbot to be developed should be designed as a communication platform that can approach farmers' concerns with empathy, effectively convey institutional support mechanisms, and offer solutions focused on economic benefits.