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Knowledge Graph Construction from Heterogeneous Agricultural Data Sources

Agricultural Extension Rural Innovation

AI Chatbots for Rural Advisory Services Research

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Agricultural Extension Rural Innovation › AI Chatbots for Rural Advisory Services Research

Knowledge Graph Construction from Heterogeneous Agricultural Data Sources

This investigation focuses on developing scalable methods to construct comprehensive agricultural knowledge graphs integrating scientific literature, farmer experiences, government databases, and weather records. The research advances knowledge extraction and graph embedding techniques that enable chatbots to reason across diverse agricultural information domains.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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