| dc.description.abstract | The study was carried out to assess the determinants of coffee productivity by small scale farmers of Lwanda Sub County Rakai District. It was to characterize small scale coffee farmers, determine coffee productivity and to establish the factors that determines coffee productivity among small scale farmers. Primary sources included uses of questionnaires and interviews. Secondary sources included written literature for example textbooks, journals, newspapers among others. The target population was 50 small scale farmers from Lwanda Sub County Rakai District. Random sampling technique was employed to compare views among Small scale coffee producers from four villages which were randomly selected. The data was analyzed using SPSS version 16.0 on windows 10 for both descriptive and frequency statistics. A linear regression analysis was run to analyze coffee productivity. Data presentation was in form of tables and figures to help interpret findings and generate conclusions that aided solution to the identified challenges. The research established that gender, age of the respondent, lack of enough labor, access to extension services, low inclusion of youths in coffee production, size of land, number of coffee plants, price per kg and total revenue received by farmers greatly affected coffee production. The study recommended that government needs to sensitize local people about the importance of gender equity on access to land, motivating young people to take up coffee farming enterprise since they are energetic and innovative which can boost productivity and apply fertilizers which will boost productivity through improving soil structure. | en_US |
