The agricultural sector is a major contributor to greenhouse gas (GHG) emissions. However, to address climate change, GHG emissions from agriculture need to decline. A key step to this goal is the adoption of sustainable technologies by farmers. A technology that reduces GHG emissions by way of reducing chemical fertilizer application is the incorporation of clover into grazing swards. Yet, despite governmental efforts to promote their adoption, uptake of GHG mitigation measures remains low. In general, available information impacts the expectations of new technologies, which in turn influence adoption intentions. However, there is limited knowledge of how farmers incorporate information about GHG mitigation technologies, and farmers’ expectations are unknown. In this study, we explore how the provision of information about clover shapes farmers’ expectations and intentions to adopt clover. Methodologically, we will implement an information experiment embedded in an online survey with a sample of almost 300 dairy farmers. In our experimental design, first, we will elicit farmers’ expectations about implementing clover. Then, we will randomly provide respondents with exogenous clover-relevant information. Our sample will be divided into three groups: two groups receive an information treatment, and one active control group. Farmers in the treatment groups are exposed to the same clover-relevant information based on scientific studies, but one of the groups will receive additional information based on some farmers’ experiences with clover. Finally, all respondents’ expectations are re-elicited. Thus, this design will allow us to estimate a causal effect of expectations on farmers’ willingness to accept and intentions to adopt clover. We believe that respondents will update their expectations in response to our information treatments. We expect that individuals’ expectations present a higher adjustment when exposed to additional information based on some farmers’ experiences with clover, being more effective than information based on scientific research only. This would bring policy implications on whether and how information should be communicated to farmers.