MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621044050 A) filed by Lakshmi Narain College Of Technology, Bhopal, Madhya Pradesh, on April 7, for 'a system and method for adaptive multi-modal edge-ai pest detection with smart coupling clamp.'
Inventor(s) include Pramod Kumar Saket; Ripusoodan Sharma; Dr. Virendra Kumar Tiwari; Rohit Singh; Dr. Ashish Jain; and Dev Kumar Chouhan.
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 discloses a multi-modal Edge-AI system and method for non-visual pest detection in agricultural environments using plant-mediated signal acquisition. The system integrates vibration sensing for insect gait analysis and acoustic sensing for bio-signature detection, wherein a plant substrate functions as a natural mechanical waveguide. An adaptive mechanical coupling clamp is configured to dynamically adjust contact pressure, alignment, and interface impedance between sensors and plant structures, thereby enhancing signal transmission fidelity across varying plant morphologies. The acquired signals are pre-processed and analyzed using a hybrid convolutional neural network and long short-term memory model for spatial-temporal feature extraction and pest classification. The system further incorporates multi-modal fusion and edge-based processing to enable real-time, low-latency inference with reduced power consumption. Severity-based alerts and actionable recommendations are generated for targeted intervention. The invention provides a robust, scalable, and energy-efficient solution for accurate pest detection under occluded and low-visibility agricultural conditions."
Disclaimer: Curated by HT Syndication.
