MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611064500 A) filed by Dr. Sadhana Kumari; Dr. Shiv Poojan Yadav; Roohi; Dr Manish Kushwaha; Dr. Vijay Pratap; Dr. Sudhanshu Verma; Abhishek Singh; Dr. Harsita Nayak; Dr. Tikendra Kumar Yadav; Anjali Rawat; and Dr. Kamlesh Kumar Yadav on May 21, 2026, for Subsurface Rhizome Detection, Prediction And Selective Disruption System For Precision Weed Management.

Inventors include Dr. Sadhana Kumari; Dr. Shiv Poojan Yadav; Roohi; Dr Manish Kushwaha; Dr. Vijay Pratap; Dr. Sudhanshu Verma; Abhishek Singh; Dr. Harsita Nayak; Dr. Tikendra Kumar Yadav; Anjali Rawat; and Dr. Kamlesh Kumar Yadav.

The application for the patent was published on July 17, 2026, under issue no. 29/2026.

Abstract: Subsurface Rhizome Detection, Prediction and Selective Disruption System for Precision Weed Management This invention describes an intelligent subsurface agricultural weed-management system configured for detection, classification, predictive mapping, and selective disruption of rhizome- and root-propagated weed networks while preserving crop-root integrity and beneficial subterranean symbiosis. The system acquires underground bioelectrical, impedance, ionic, electrochemical, and environmental-condition data to distinguish crop rhizomes, weed rhizomes, dormant regenerative nodes, and fungal interaction pathways. A predictive propagation engine reconstructs concealed underground spread topology and forecasts future emergence and regrowth probability under irrigation, flood, and seasonal soil-transition conditions. Selective intervention is performed through adaptive pulsed electrical disruption, moisture-triggered biodegradable suppression deployment, and ionic communication interference. The system further incorporates mycorrhizal-preservation logic and soil-memory learning for recurrence prediction and field-specific optimization. The disclosure provides a predictive, minimally invasive, and environmentally adaptive underground weed-management framework for precision agriculture and sustainable crop protection.

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