MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088216 A) filed by Dr. Maniraj Jaganathan; Mr. Sikander Singh; Dr. Kannadhasan Suriyan; Dr. Kalaivani Ramanathan; Edwin Arshina Packaim Xavier; Dr. Asha Sagade Ramanayak; Dr. Meghana Solanki; Karthikayan Poobalakrishnan Nagarajan; Kavitha Vasu; and Shivaji Rao Ganesh Rao on July 20, 2026, for Smart Pest Detection And Automated Control System Using Machine Learning.
Inventors include Dr. Maniraj Jaganathan; Mr. Sikander Singh; Dr. Kannadhasan Suriyan; Dr. Kalaivani Ramanathan; Edwin Arshina Packaim Xavier; Dr. Asha Sagade Ramanayak; Dr. Meghana Solanki; Karthikayan Poobalakrishnan Nagarajan; Kavitha Vasu; and Shivaji Rao Ganesh Rao.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: A smart pest detection and automated control system integrates machine-learning-based perception with automated, targeted intervention in a single closed-loop apparatus for precision agriculture. A sensing subsystem, including imaging devices and environmental sensors, captures image and environmental data from a cultivated environment. A processing subsystem, embodied at the edge, at a remote server, or in a hybrid arrangement, executes trained machine learning models to detect and classify pests and to quantitatively assess infestation severity from the captured data. A control subsystem comprising one or more actuatable pest control mechanisms, such as a precision spraying apparatus, automatically delivers a targeted intervention to a specific location only when a defined severity threshold is exceeded. A communication subsystem transmits detection events, imagery, and intervention records to a remote platform for data aggregation, decision support, and continuous model retraining, thereby reducing crop loss, chemical usage, labor, and pesticide resistance.
Disclaimer: Curated by HT Syndication.
