In the evolving landscape of agricultural technology, the need for efficient data sharing mechanisms is paramount. This talk will delve into the implementation of a Multi-Channel Processing (MCP) framework designed for decentralized agricultural networks. By utilizing peer-to-peer (P2P) architecture, we analyze its performance against traditional centralized systems across 50 European farms. Our findings reveal significant advantages in scalability, resilience, and environmental impact, advocating for a shift towards decentralized data management in agriculture. The talk will cover the methodologies employed, performance metrics, and the broader implications on farmer autonomy and data sovereignty.