Regenerative farming offers a sustainable approach to agriculture by promoting ecosystem restoration, soil health, and biodiversity conservation. However, the adoption of regenerative practices faces significant technological challenges, including data collection, management, interoperability, integration, mapping, and spatial analysis. These challenges hinder the scalability and effectiveness of regenerative farming, particularly in terms of monitoring, decision-making, and resource optimization. This article addresses these challenges by proposing an integrated framework that combines the Internet of Things, Ontologies, and Geographic Information Systems. IoT is leveraged for real-time data collection and management, Ontologies ensure seamless data interoperability across systems, and GIS enables advanced spatial analysis and mapping. Using a meta-synthesis of existing literature, this study identifies the key technological obstacles to regenerative farming and presents a solution that integrates these emerging technologies. The proposed framework aims to enhance the effectiveness of regenerative practices, support ecosystem health, and improve the sustainability of agricultural systems. Farmers will also leverage from sharing practices across different regions. The data will allow farmers to get practical results of the effectiveness of regenerative farming.