MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202541125700 A) filed by Sri Sairam Institute Of Technology, Chennai, Tamil Nadu, on Dec. 12, 2025, for 'microzard-a lizard inspired robot for hydroagroclearing.'
Inventor(s) include Dhanalakshmi K; Sreya M Nambiar; Sonali Sahu; and Kavitha S.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The project "M icroZard- A Lizard-Inspired Robot for HydroAgroClearing" presents an innovative and sustainable solution for intelligent weed management in agriculture by-integrating artificial intelligence (Al), computer vision, robotics, and eco-friendly automation. MicroZard is designed to autonomously detect, remove, and process weeds without the need for chemical herbicides, thereby protecting the soil ecosystem and promoting organic farming practices. The system employs embedded Al cameras and machine vision algorithms for realtime weed detection and classification, enabling precise differentiation between crops and unwanted vegetation. Once a weed is detected, a robotic manipulator equipped with a sickle-based mechlnical arm executes accurate physical removal from the root I level without harming nearby plants. The removed weeds are then transferred to an onboard incineration chamber, where they are thermally decomposed into nutrient-rich ash, which serves as a natural fertilizer to enhance soil fertility and promote regenerative agriculture. ; Inspired by the mobility and adaptability of a lizard, the robot features a bio-inspired design that ensures superior grip, balance, and navigation across irregular and challenging agricultural terrains. The mobility system, combined with advanced pathplanning algorithms, enables smooth traversal and efficient weed clearance even in dense crop arrangements^ The robot is also integrated with an IoT-based monitoring system, allowing farmers to remotely track field operations, control modes of operation (manual or autonomous), and receive real-time updates on weed density, system status, and fertilizer output via a mobile or web interface! This connectivity enhances operational accuracy, safety, and scalability, allowin continuous monitoring of large fields with minimal human intervention."
Disclaimer: Curated by HT Syndication.
