A drone (UAV) system with enhanced artificial intelligence-based traceability (AI RAG) at the edge for greenhouse cultivation on substrates.

Abstract

The invention proposes an AI-powered, artificial intelligence-enhanced retrieval (AI RAG) drone system for substrate-based greenhouse cultivation, comprising: a mini UAV equipped with a high-resolution camera and an embedded computing module (NVIDIA Jetson or equivalent); an AI RAG model including data embedding, semantic retrieval, and evidence-based feedback generation components; a vector database storing expert knowledge, scientific literature, and historical sensor data in vectorized embedded form; a zone irrigation controller enabling cluster tray irrigation based on feedback from the AI ​​system; and a monitoring system and dashboard displaying recommendations, images, control logs, and intervention history.