MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541126534 A) filed by Dr. S K B Pradeepkumar Ch; Dr. Sreekanth Mamidala; Mr. Thandava Krishna Sai Pandraju; Mr. M. Ramesh Kumar; Dr Prabhakara Sharma Pidatala; and Dr. M. Saravanan, Eluru, Andhra Pradesh, on Dec. 14, 2025, for 'predictive irrigation automation system using machine learning and cloud-enabled sensor networks.'
Inventor(s) include Dr. S K B Pradeepkumar Ch; Dr. Sreekanth Mamidala; Mr. Thandava Krishna Sai Pandraju; Mr. M. Ramesh Kumar; Dr Prabhakara Sharma. Pidatala; and Dr. M. Saravanan.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "Predictive irrigation automation system using machine learning and cloud-enabled sensor networks Abstract: The present invention relates to an intelligent irrigation automation system that optimizes water usage using machine learning and cloud-connected Internet of Things (IoT) devices. The system comprises distributed soil moisture, temperature, humidity, and weather sensors that continuously collect real-time field data and transmit it to a cloud platform. A machine learning engine analyzes historical and real-time data to predict crop water requirements and dynamically generate irrigation schedules. Automated control valves execute irrigation decisions without manual intervention, while a cloud-based dashboard enables remote monitoring and control. The system adapts to environmental variations, crop type, and soil conditions, thereby reducing water wastage, improving crop yield, and enhancing sustainability in agricultural operations. The invention is scalable, energy-efficient, and suitable for precision agriculture applications."
Disclaimer: Curated by HT Syndication.
