MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202641001916 A) filed by Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, on Jan. 7, for 'an intelligent precision agriculture system for turmeric disease analysis and yield prediction using hybrid deep learning.'
Inventor(s) include Bhavani Vasantha; Pradeepini Gera; and Sri Kavya K.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent precision agriculture framework that integrates image-based disease analysis, disease severity estimation, and crop yield prediction using hybrid deep learning techniques. The system enables automated processing of crop leaf images and environmental crop data to provide accurate and timely assessment of plant health and yield outcomes. An attention-guided image analysis module localizes diseased regions and computes objective disease severity scores, while a temporal learning module models crop growth dynamics using sequential environmental and physiological parameters. The integrated framework supports continuous monitoring and dynamic yield forecasting throughout the crop growth cycle. The system provides interpretable outputs for disease severity and predicted yield, supports real-time and resource-efficient deployment, and is scalable for use across diverse agricultural environments. The invention offers a robust, efficient, and data-driven solution for precision agriculture, particularly suited for improving productivity and decision-making in turmeric cultivation."
Disclaimer: Curated by HT Syndication.
