MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641089909 A) filed by Dr. Velappagiri Sekhar; Dr. M. Ramasekhara Reddy; Dr. K. Ramesh; Dr. Hareesh Sita; Mr. K Velu; Dr. P Ajay Kumar Reddy; Dr. K. Mahalakshmi; Mr. B Venu Reddy Kumar; Mrs. K Renuka; Mr. L Kesavabalaji; and Mr. Matteddula Praveen Kumar on July 23, 2026, for Agro-Dr: An Artificial Intelligence-Integrated Unmanned Aerial Vehicle System For Autonomous Multi-Crop Disease Detection And Selective Precision Pesticide Spraying.
Inventors include Dr. Velappagiri Sekhar; Dr. M. Ramasekhara Reddy; Dr. K. Ramesh; Dr. Hareesh Sita; Mr. K Velu; Dr. P Ajay Kumar Reddy; Dr. K. Mahalakshmi; Mr. B Venu Reddy Kumar; Mrs. K Renuka; Mr. L Kesavabalaji; and Mr. Matteddula Praveen Kumar.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses an autonomous UAV-based precision agriculture system that integrates deep learning-driven aerial image analysis with a selectively actuated chemical spraying mechanism. The system acquires high-resolution aerial images of agricultural fields using a nadir-facing camera mounted on a multi-rotor UAV. Acquired images undergo preprocessing comprising resizing, noise filtering, contrast normalisation, and colour normalisation, followed by inference through a trained Convolutional Neural Network that detects and spatially localises disease-affected crop regions. A decision logic controller transforms detection outputs into geographic coordinates and computes targeted nozzle actuation commands. The precision spraying mechanism activates exclusively over detected disease zones, eliminating indiscriminate blanket application. The invention achieves a demonstrated reduction of approximately 40 percent in chemical usage relative to conventional uniform spraying, while improving crop coverage accuracy and reducing environmental contamination.
Disclaimer: Curated by HT Syndication.
