MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049789 A) filed by Ms. G. Santhiya; and Dr. A. Radhakrishnan, Chennai, Tamil Nadu, on April 19, for 'a digital twin-driven predictive analytics framework for smart tea plantation management.'
Inventor(s) include Ms. G. Santhiya; and Dr. A. Radhakrishnan.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Tea plantation management becomes challenging because environmental changes require ongoing observation and decision-making processes, while existing methods depend on human monitoring and fail to achieve precise results. Recent studies have explored Artificial Intelligence (AI), Internet of Things (IoT), and digital twin technologies for applications such as disease detection and yield prediction. The system proposes a Digital Twin-driven predictive analytics framework for smart tea plantation management to overcome these existing challenges. The framework uses leaf image data and environmental sensor readings, which undergo edge-level pre-processing to eliminate noise and achieve normalization and temporal alignment. The research employs a hybrid deep learning model that integrates Vision Transformer (ViT) and Temporal Convolutional Network (TCN) for spatial and temporal feature extraction, while Agent-Based Modeling (ABM) and System Dynamic Modeling (SDM) serve as simulation and decision support tools. The results show outstanding performance with 98.41% classification accuracy and R value of 0.985 for yield prediction."
Disclaimer: Curated by HT Syndication.
