MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641061726 A) filed by Sri Venkateswara College Of Engineering & Technology on May 15, 2026, for Ai Driven Precision Root Drip Irrigation And Fertigation Management Device.
Inventors include Dr. A. Mahamani; M. Mythreyen; N. Sendhil Kumar; D Sri Hari; Om Parkash; Dr. K. Nandha Kumar; Dr. R. Mohanraj; S. Sujitha; T. Amruthavalli; K. Anjaneyulu; Dr. P. Gopi Krishna; and V. N. Nevedha.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: ABSTRACT: The present invention discloses an intelligent, modular, AI-ToT enabled drip irrigation system for precise root-zone irrigation and fertigation in agricultural practices. The system comprises a circular ring pipe (101) configured to encircle individual plants and connected to a lateral pipe (102) for supply of water and nutrients. A solenoid valve (103) is provided on the lateral pipe (102) to regulate and control fluid flow. The ring pipe (101) includes adjustable extension sections (203) and detachable sections (201) for adaptability and ease of maintenance. A retractable nozzle assembly (202), mounted on the ring pipe (101), comprises a fixed portion and a retractable portion for controlled and targeted delivery of water directly to the root zone. A protective cap is provided at the outer end of the retractable nozzle assembly (202) to prevent entry of soil particles and contaminants when the nozzle is not in use, thereby reducing clogging and improving operational reliability. Integrated sensors including temperature sensors (204), fertigation sensors (205), and humidity sensors (206) continuously monitor soil and environmental conditions and transmit real-time data to an AIbased loT control unit. The control unit processes the data to automatically regulate irrigation, fertigation, and system operations. The system further enhances efficiency through features such as adaptive flow control, leak detection, and self-cleaning mechanisms, resulting in optimized resource utilization, reduced manual intervention, and improved crop productivity (Figure 1).F
Disclaimer: Curated by HT Syndication.
