MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083426 A) filed by Ajith S; and Dr Srivani P on July 07, 2026, for Ai-Driven Iot-Based Autonomous Microgreen Cultivation And Environmental Control System.
Inventors include Ajith S; and Dr Srivani P.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to an Artificial Intelligence (AI)-driven Internet of Things (IoT)-based autonomous microgreen cultivation and environmental control system employing a Graph Retrieval-Augmented Generation (Graph RAG) recommendation framework for precision agriculture. The invention comprises a cultivation platform including environmental sensors, an AI-enabled imaging module, a Raspberry Pi-based edge controller, cloud computing infrastructure, and a Graph RAG-powered intelligent recommendation engine. Real-time cultivation parameters including temperature, humidity, pH, water level, light intensity, and visual crop data are continuously acquired and transmitted to the cloud, where sensor observations and image-derived plant health information are integrated with a graph-based knowledge repository containing historical cultivation records, agronomic rules, and domain expertise. The Graph RAG framework retrieves contextually relevant knowledge and generates adaptive recommendations for irrigation scheduling, lighting regulation, environmental optimization, and crop health management. The generated recommendations are communicated to a mobile or web-based dashboard and may further actuate environmental control components for autonomous cultivation. The invention enables context-aware decision support, predictive crop management, efficient utilization of water and energy resources, improved crop uniformity, reduced manual intervention, and enhanced yield and nutritional quality of microgreens under controlled cultivation environments
Disclaimer: Curated by HT Syndication.
