MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202631051407 A) filed by Guru Nanak Institute Of Technology, Kolkata, West Bengal, on April 22, for 'iot system for soil moisture-driven intelligent watering in precision agriculture using machine learning.'
Inventor(s) include Mr. Moloy Dhar; Ms. Priyanka Chakraborty; Dr. Swarup Kumar Mitra; Shreeja Sinha; and Sayani Konar.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "An IoT-based intelligent irrigation system for precision agriculture integrates distributed soil moisture sensors (including multi-depth sensors), environmental sensors (temperature, humidity), microcontroller-based field units with wireless communication, a remote processing platform executing machine learning models trained on historical and real-time data, and irrigation actuators (pumps, valves). Sensor data are transmitted wirelessly to the remote platform, which predicts crop water requirements and generates control signals that are returned to field units to automatically actuate irrigation devices per zone. A user interface provides remote monitoring, alerts and manual override. Optional features include renewable power management, weather forecast integration, data storage for model retraining, fault detection and security measures. The system reduces water use, improves irrigation precision, supports scalability and enhances crop performance."
Disclaimer: Curated by HT Syndication.
