Up to 30% of harvested maize is lost due to climate variability, which disrupts the drying process and creates conditions favourable for grain spoilage. Despite the availability of improved post-harvest storage technologies in the study area, their adoption remains low among maize farmers. Thus, the aim of this research was to determine farmers’ perceptions of climate variability on post-harvest technologies adoption. A quasi-longitudinal research design was adopted for the study guided by Expected Utility and Diffusion theories. The unit of analysis was household maize farmers. The study encompassed the entire maize farming population of 32,137 households in Bungoma South Sub-County. Utilizing a systematic sampling technique, 400 respondents were selected from each ward, based on the proportionate share of maize farmers in each locality. The data collection was done using structured questionnaires and focus group discussions (FGDs). Secondary data was sourced from the Kenya Meteorological Departments’ database and unpublished documents. Data was analyzed using means, standard deviations while qualitative done thematically. Inferential statistics was done using Chi Square and Cramer’s V. The findings showed that farmers demonstrated high awareness of climate variability, with 80% perceiving temperature changes and noting increased rainfall unpredictability. The Chi square tests showed high statistically significant influences between temperature, rainfall and rainfall duration and technology adoption for storage respectively (χ²(16) = 270.77, p < 0.001), (χ²(14) = 251.468, p < 0.001), (χ²(14) = 256.244, p < 0.001 with the effect size measured using Cramer’s V of 0.850, 0.819 and 0.827 that indicated very strong influences between farmers’ perception categories of temperature, rainfall and rainfall duration variations and the post-harvest technologies adopted respectively. The study concluded that farmers’ perceptions of climate variability significantly influenc