MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641112924 A) filed by Dr. Rashmi R Deshpande; Prof. Nagashree K T; Ashwini P Bhat; Rachitha Girish G; Karthik Vijay Shetty; and Chinmaya C on September 21, 2026, for Smart Drip Irrigation System Using Soil Moisture Sensor With Automatic Water Pump Control Using Solar Panel.
Inventors include Dr. Rashmi R Deshpande; Prof. Nagashree K T; Ashwini P Bhat; Rachitha Girish G; Karthik Vijay Shetty; and Chinmaya C.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: SMART DRIP IRRIGATION SYSTEM USING SOIL MOISTURE SENSOR WITH AUTOMATIC WATER PUMP CONTROL USING SOLAR PANEL Traditional automated irrigation systems often employ a "one-size-fits-all" approach, leading to significant water wastage and non-uniform crop health in large-scale plantations. This project proposes Smart-Flow, an intelligent, IoT-based selective irrigation system designed specifically for grid-planted crops such as Areca, Coconut, and Banana. The core innovation lies in a Master- Slave hydraulic architecture, where a central Master Valve works in tandem with individual Row- Specific Solenoid Valves to isolate water flow to a single row at a time. The system utilizes an ESP32 microcontroller as the primary processing unit, interfaced with a distributed network of Capacitive Soil Moisture Sensors. To ensure uninterrupted, off-grid operation in remote agricultural environments, the setup integrates a dedicated solar photovoltaic charging system paired with a rechargeable battery bank. The control logic is driven by a Closed-Loop Feedback mechanism; the ESP32 activates specific relays only when moisture levels fall below a userdefined threshold within scheduled operational windows. Preliminary design results indicate that this granular, row-level control reduces water consumption by up to 30-40% compared to traditional methods while ensuring optimal soil saturation. The project demonstrates a selfsustaining, scalable, and cost-effective precision agriculture solution, bridging the gap between manual labor and autonomous plantation management.
Disclaimer: Curated by HT Syndication.
