MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631032875 A) filed by Narula Institute Of Technology, Kolkata, West Bengal, on March 18, for 'the dermoscopic leaf disease detection tool: a system and method for ai-assisted agricultural disease diagnostics using adaptive dermoscopic imaging and deterministic output verification.'
Inventor(s) include Dr. Soma Chatterjee; Dr. Shubhendu Banerjee; Ms. Jayita Pal; Mr. Prajes Das; and Mr. Souparna Paul.
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 invention discloses a Verified Portable Agricultural Dermoscopic Leaf Disease Detection System for reliable plant disease management. The system integrates a handheld dermoscopic imaging unit utilizing polarized light and macro optics to capture subsurface leaf data, which is analyzed by a deep learning engine to identify pathogens. To ensure the safety of automated advice, the system features a Deterministic Verification Module that intercepts Generative AI outputs. This module decomposes proposed treatment recommendations into atomic facts and verifies them against the diagnostic ground truth and agricultural protocols using a closed-loop entailment model. By calculating a composite hallucination score and iteratively refining the output, the system provides farmers with microscopic diagnostic precision and guaranteed, hallucination-free agronomic decision support."
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