{"title":"Effects of Training Small-Scale Farmers on Food Security in Moiben Sub County in Uasin Gishu County","authors":"Margaret Cheruto Yator, P. Ouma, A. Ndiema","doi":"10.37284/eajab.5.1.837","DOIUrl":null,"url":null,"abstract":"Food security revolves around equality in the availability, access, and intake of nutritious food. The main purpose of this research is to determine the effectiveness of the adoption of agricultural technologies by small-scale farmers on food security, with a particular focus on Moiben Subcounty in Uasin Gishu County. The research adopted a mixed-methods design. A sample size of 179 small-scale farmer households was obtained using purposive and simple random sampling. The instruments used for the research were both questionnaires and interview schedules. To assess validity and reliability, the instruments were piloted. The data collected was organised and analysed using frequencies and%ages and then presented with the aid of Statistical Package for Social Sciences (SPSS) version 23.0. The findings of the research will enable better training methods for small-scale farmers to enhance food security in the Moiben Subcounty of Uasin Gishu County, Kenya. The researcher used inferential analysis of the study data to determine the strength of the relationship between the food security variable and the success of the adoption of agricultural technology. The researcher did a correlation analysis and examined the study’s correlation coefficient in detail. Adoption of agricultural technology was significantly and positively connected to food security (r = 0.943; P < 0.05), according to the findings. The correlations were higher than 94.3%, implying that there are large positive relationships between the adoption of agricultural technology and food security. The study findings revealed that an increase in one unit of training small-scale farmers on agricultural techniques decreased food security by 0.146 units. The study will be beneficial to students and other researchers’ intent on the knowledge of small-scale farmer training and its relationship to food security. The adoption of agricultural technologies increased food security by 52.1%. The recommendation of the study was Agricultural technologies will make the work on the farm efficient and will result in more first-grade production of farm produce, improving food security.","PeriodicalId":144021,"journal":{"name":"East African Journal of Agriculture and Biotechnology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"East African Journal of Agriculture and Biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37284/eajab.5.1.837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Food security revolves around equality in the availability, access, and intake of nutritious food. The main purpose of this research is to determine the effectiveness of the adoption of agricultural technologies by small-scale farmers on food security, with a particular focus on Moiben Subcounty in Uasin Gishu County. The research adopted a mixed-methods design. A sample size of 179 small-scale farmer households was obtained using purposive and simple random sampling. The instruments used for the research were both questionnaires and interview schedules. To assess validity and reliability, the instruments were piloted. The data collected was organised and analysed using frequencies and%ages and then presented with the aid of Statistical Package for Social Sciences (SPSS) version 23.0. The findings of the research will enable better training methods for small-scale farmers to enhance food security in the Moiben Subcounty of Uasin Gishu County, Kenya. The researcher used inferential analysis of the study data to determine the strength of the relationship between the food security variable and the success of the adoption of agricultural technology. The researcher did a correlation analysis and examined the study’s correlation coefficient in detail. Adoption of agricultural technology was significantly and positively connected to food security (r = 0.943; P < 0.05), according to the findings. The correlations were higher than 94.3%, implying that there are large positive relationships between the adoption of agricultural technology and food security. The study findings revealed that an increase in one unit of training small-scale farmers on agricultural techniques decreased food security by 0.146 units. The study will be beneficial to students and other researchers’ intent on the knowledge of small-scale farmer training and its relationship to food security. The adoption of agricultural technologies increased food security by 52.1%. The recommendation of the study was Agricultural technologies will make the work on the farm efficient and will result in more first-grade production of farm produce, improving food security.