MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202521086012 A) filed by Pandit Deendayal Energy University, Gandhinagar, Gujarat, on Sept. 10, 2025, for 'iot-enabled autonomous weed detection and removal system.'
Inventor(s) include Mr. Shivam Patel; Mr. Meshv Patel; Dr. Santosh Kumar Satapathy; and Dr. Nitin Singh Rajput.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an loT-enabled autonomous weed detection and removal system that integrates artificial intelligence, computer vision, and robotic actuation to enhance efficiency in precision agriculture. The system comprises a low-cost embedded processing unit equipped with a camera and sensors for acquiring real-time images and field data. Captured images are analyzed using machine learning models and computer vision algorithms to classify plants as crops or weeds. Upon identification, actuators are triggered to remove weeds without damaging surrounding crops. The device incorporates autonomous navigation capabilities to adapt to different crop layouts and field conditions, while loT connectivity enables remote monitoring, control, and cloud-based data logging. A self-learning mechanism allows users to upload new crop and weed data, enabling the system to refine its classification accuracy and adapt to diverse agricultural practices. Powered by solar energy, the invention provides an eco-friendly and cost-effective alternative to manual weeding and chemical herbicides. By reducing competition for nutrients, water, and sunlight, the system improves crop yield and supports sustainable farming practices."
Disclaimer: Curated by HT Syndication.
