Photographs of insect pests and different kind of pollinators were presented to respondents to help in identification of different species of insects visiting coffee flowers. The survey data were encoded, entered into a spread-sheet and checked prior to analysis. Cross-tabulation with selected variables, percentages and means were undertaken using pivot table in Microsoft Excel 2003. Percentages were based on either the total number of respondents or total responses, details of which are pro-vided in the respective text or tables. Chi-square test was used to determine the effects of farmers’ socio-demo- graphic profiles on their knowledge and perceptions of pollinators and their roles in coffee production. Chi- square test was also used to identify significant difference in response of males and females in the agreement of statements proposed about the importance of differentiate ecosystem services delivered in farmlands. All statistical analyses were conducted using Minitab 15, English Version.

A logistic regression analysis was conducted to determine most important factors that could probably have influenced knowledge of pollination by farmers. Logistic regression allows one to predict a discrete outcome from a set of independent variables that may be continuous, discrete, and dichotomous, or a mix of any of these. The dependent variable in this case,stackable planters the knowledge of pollination, had binary values, i.e., yes or no response.Interviewed farmers in the sample were mostly aged. Respondents declared that farming was the main source of their income. In addition, majority of these farmers declared that their annual incomes came from coffee farming activities and that they have almost no off-farm incomes. Declared farm incomes were in general low but the family incomes were higher when farmers owned big land of coffee. Various statements explaining the importance of different ecosystem services delivered in farm-lands were read and explained to farmers. The purpose was to identify if farmers knew or were aware of the value of these ecosystem services and if they were could to care for their preservation. In relationship to coffee pollination, ecology and management for yield increase, statements 10, 11, 12, 19 and 20  were mixed among other statements and set to identify if farmers acknowledge the value of these ecosystem services delivered in coffee-banana farming system.

When asked if they believed that “harvests can be reduced to nil if stingless bees, honeybees and other wild bees do not visit the flowers of crops they grow”, 45  of males and 37 of female respondents disagreed with the statement number 10. However, there was no significant difference in the disagreement in relationship to gender . This result indicated that the majority of respondents did not perceive the contribution of wild bees, stingless bees and honey-bees in boosting their crop harvests including coffee. In other words, farmers were not aware of the value of ecosystem services delivered by bees to their crops.