SMART AGRICULTURAL TECHNOLOGIES AND SUSTAINABILITY OF AGRICULTURAL PROJECTS IN KWALE COUNTY, KENYA
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Abstract
The purpose of this study was to examine the influence of smart agricultural technologies on sustainability of agricultural projects in Kwale County, Kenya. Specifically, the study sought to examine the influence of smart crop monitoring technology and remote sensing technology on sustainability of agricultural projects in Kwale County, Kenya. The theoretical framework was guided by the resource-based theory, dynamic capability theory and dynamic managerial capability theory and firm growth theory. The study employed the correlational, cross-sectional survey research design to test non-causal relationships between the study variables. The proportionate stratified random sampling technique was utilized to select a sample size of 174 employees from a target population of 305 employees of the 2 selected agro processing firms in Kwale County, Kenya. A pilot study was conducted to ascertain the validity and reliability of the constructed survey questionnaire. A structured self-administered survey questionnaire was used as the means of collecting primary data. The collected data was processed and entered into the statistical package for social sciences (SPSS) version 26 to create a data sheet used for analysis. Data analysis involved the use of descriptive statistics and inferential statistics. The correlation results indicated that smart crop monitoring technology and remote sensing technology had positive and significant relationship with the sustainability of agricultural projects in Kwale County, Kenya. The regression results indicated that smart crop monitoring technology and remote sensing technology had positive and significant influence on the sustainability of agricultural projects in Kwale County, Kenya. The study recommends that the managers and practitioners within the diverse industries should implement smart agricultural technologies to foster the sustainability of agricultural projects in Kwale County, Kenya. The policymakers within the diverse industries should initiate policy review to encourage managers and practitioners to implement agricultural farming technologies to foster the sustainability of agricultural projects in Kwale County, Kenya. The study recommends intriguing areas for further research. Future research should examine the influence of smart agricultural technologies on project sustainability with government regulation as a moderator in other sectors or contexts.
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