The study observed that weather measures has a significant impact on technical efficiency among plantain farmers in the study area and therefore recommended that more females should be encouraged to participate in plantain farming, farmers should be encouraged to appreciate education so as to enable them adopt improved adaptation measures and technologies.  Government should also make greater investments in transportation infrastructure and storage facilities. The study examined the effects of weather adaption measures on technical efficiency among plantain farmers in Akoko Southwest local government area of Ondo State. The respondents were selected through a multistage sampling technique. A total of 105 respondent were selected and primary data was used, gathered through a well structured questionnaire. Three analytical techniques were employed for the study namely, descriptive statistics analysis, stochastic production frontier and double hurdle regression model.

            The descriptive analysis result showed that about 61.9 percent were male. Majority of the farmers (34.3 percent) were within the age bracket of 31-40years. The average age of the respondents was 42 years; about 81.9 percent of the respondents were married; the mean household size was 5 members; the average farming experience was 13 years; the average farm size was 2.1 acres; 58.1 percent of them took plantain farming as their primary occupation 71.4 percent of the sampled plantain farmers practiced Christianity.

            The study revealed that majority (60.0 percent) of the plantain farmers practices adaptation measures aimed at mitigating the effect of weather change on their technical efficiency with majority of them (93.3 percent) growing diverse varieties of plantain.

            The estimates of the stochastic frontier production function for determinants of technical efficiency and inefficiency revealed quantities of land, suckers, fertilizer and pesticide, years spent in school, primary occupation and change in planting time were all statistically significant at 1%, 1%, 10%, 5%, 10%, 10% and 5% respectively.

            The result of the double hurdle regression models showed that only primary occupation was significant determinant of adoption of weather adaptation measures by the farmers.  Whereas of degree (extent) of adoption of weather adaptation measures, farming experience, primary occupation and total revenue were significant at 1%, 10% and 15% respectively.

            The result of the study also revealed the major constants affecting plantain farming in the study area.  The most common are non-availability) of storage facilities and markets with (56.2 percent) and (54.3 percent respectively).  Other constraints faced by the farmers include storage of lab our or lack of capital, lack of equipment or high cost of irrigation facilities, lack of access to weather and climate forecast information and so on.

Keywords: Technical efficiency, Double hurdle regression model, Weather Adaptation measures, Plantain farmers