Transforming Agricultural Knowledge Dissemination: A SMART Platform Powered by Agentic AI for New Farmers

The urgent issue of proliferation and fragmentation regarding the agricultural knowledge among new farmers in China was tackled in this study, which established a context-aware SMART platform driven by Agentic Artificial Intelligence (AI). It is inspired by continued rural digital divide, where the existing mode of traditional knowledge diffusion cannot deliver timely, accurate and context-aware information. We take a mixed-method approach where we incorporating qualitative insights from experts and domain specialists with quantitative data from 30 new farmers in Nanning City, Guangxi Province to develop and evaluate the platform. The introduced system combines IoT, big data and AI in order to provide full-chain agricultural services from production to sales with an ultra-simple interface presented by dialectic visual content. The results show that 70% farmers are suffering from fragmented knowledge and 80% have focus on real-time data monitoring and intelligent decision support. Subsequent evaluations show high user acceptance with 63.33% of participants trusting the AI-based service, while 33.33%, though not averse to using our system, are neutral towards it – establishing credibility is required. The modular design of the platform effectively brings multi-source data together and can deliver dynamic knowledge by means of autonomous AI agents. This study brings about a collaborative knowledge ecosystem that empowers farmers out of assemblage and makes them no longer the recipient only, which is in line with China's National Smart Agriculture Action Plan. The results demonstrate the potential of agentic AI to act as a bridge between smart technology and everyday agricultural use, while underscoring trust and localization as key determinants of lasting uptake.