MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051071 A) filed by Cvr College Of Engineering, Hyderabad, Telangana, on April 22, for 'an intelligent deep learning-based system for crop disease detection and plant health assessment.'
Inventor(s) include Prasannalakshmi Maryala.
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: "Recent developments in more specific-purpose agricultural applications use deep learning algorithms to detect plant and leaf diseases based on plant and leaf images, but the majority of the existing approaches use the standard CNNs that are only practical in controlled laboratory settings and only detect simple diseases. To counter these obstacles, the suggested invention will bring a smart deep learning system based on residual network models through the accurate detection of crop diseases and monitoring of plant health. The system can use residual learning to train its model deeper and represent features more accurately, which can then be trusted to detect minute signs of disease and more complicated visual scenes. The system offers overall plant health assessment besides detection of diseases. The suggested solution is superiorly stable, more accurate and flexible and therefore can be applied to scalable real-world applications of precision agriculture."
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