Abstract:

This research paper analyses the adoption status of Spatial Information Technology via diffusion of innovations framework and diffusion variance model in the field of Precision Agriculture. This study explores four research questions; What is the landscape of spatial information technology diffusion and innovation in Precision Agriculture? How does Technical Compatibility impact SIT implementation in Precision Agriculture? How does the complexity of SIT impact Precision Agriculture? How does Relative Advantage of employed Spatial Information Systems influence (for example: remote sensing imagery) spatial innovation of agricultural technology? This study draws on cases of spatial technology acceptance and diffusion of innovation and highlights the significance of compatibility between hardware and software and complexity among these technology models utilized in PA. Developing an understanding of SIT adoption attributes and their relevant applications is crucial to better comprehend the innovation adoption perspective, as well as recognize any compatibility or complexity issues related to the advancement of spatial technologies integrated into agricultural activities to boost efficacy, productivity, and sustainability. Given the complexity of SIT technical practices and technical knowledge, it is principal to explore the leading dynamics and challenges present in the broader adoption of SIT in PA applications. The paper concentrates on specific spatial and remote sensing mode followed by comprehensive review that displays a wide range of insights considering the adaptation of spatial-technology-based systems to support agricultural productivity and sustainable development. If spatial technology solutions for PA progression do not address complexity and compatibility issues, adoption does not diffuse throughout PA, farmers are less likely to employ technologies if they consider the use as more complex, and there is less accuracy in agricultural analytics.