MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641062231 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology, Hyderabad, Telangana, on May 16, for 'ai-driven adaptive greenhouse environmental management system using reinforcement learning.'
Inventor(s) include Dr. D. Ravi Kumar; Dr. K. Vijay Chandra; Dr. B. V. Seshu Kumari; Dr. E. Shiva Prasad; and Dr. A. Giri Prasad.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention describes a reinforcement learning-based greenhouse climate control system. The system is designed to automatically maintain optimal environmental conditions for plant growth. It utilizes sensors to monitor parameters such as temperature, humidity, and gas levels. A reinforcement learning agent processes this data and selects appropriate control actions. The system continuously learns from environmental feedback using a reward mechanism. It improves its performance over time without human intervention. The proposed solution reduces energy consumption and resource wastage. It ensures efficient and adaptive climate management. The system supports integration with IoT platforms for remote monitoring. It is scalable and suitable for different greenhouse applications. The invention enhances crop yield and quality. It minimizes operational costs and manual effort. The system provides real-time decision-making capabilities. It contributes to sustainable agriculture practices. Overall, it presents an intelligent and automated greenhouse control solution. It can dynamically adjust control strategies to handle unexpected climate changes effectively. The integration of advanced analytics further enhances decision accuracy and system reliability. This makes the invention a robust and future-ready solution for smart and precision agriculture systems."
Disclaimer: Curated by HT Syndication.
