Assessing the Impact of IoT Integration and Stakeholder Readiness on the Adoption of Smart Farming Practices in Semi-Urban Agricultural Regions

Abstract

This study, through secondary data analysis, evaluates the implications of the preparedness of stakeholders and the use of the Internet of Things (IoT) in the usage of smart farming methods in semi-urban agricultural regions. Through peer-reviewed articles and experiments, in case studies, the study evaluates water and energy efficiency, responsiveness of the system, economic feasibility, and limitations of adoption regarding IoT-enabled agriculture. Operational sustainability of smart irrigation systems has been justified by the key performance indicators that reflect a reduction of 71.8 percent in water consumption and an oversupply of solar energy of 125.5 percent. Fuzzy logic control matrices have better environment versatility and accuracy of the irrigation system. Further fact indicates that stakeholder constraints, which include expensive initial cost, poor connectivity, and distrust of the digital systems, are the greatest impediments to non-adoption. The technique is based on cost-benefit estimation, cross-source comparison analysis, and readiness assessment, which are usually determined based on published results. The report provides a clear image of adoption trends by integrating technological standardization and socioeconomic and geographical factors. Some contextual knowledge related to adoption trends and scaling opportunities can be discovered in such weird locations as the Midwestern US, Cyprus, and Maharashtra. This study closes the literature gap using integrated IoT performance and stakeholder viability in semi-urban contexts. It also offers reliable data to guide future policy, pilot design, and agritech innovation practices, but it is limited in its use of primary data in the field. The findings allow supporting inclusive systems that align climate-smart imperatives and the realities of farmers with smart farming technology to develop sustainable agriculture in a variety of socio-geographic locations.