MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069427 A) filed by Srm Institute Of Science And Technology, Ramapuram Campus; and Easwari Engineering College on June 03, 2026, for A Multi-Layer Satellite–ground–aerial Fusion System For Invasive Detection Of Neltuma Juliflora.
Inventors include Mrs. G. D. Meivezhi; Naveen M; Charu; Lal Krishna; and Sanjay.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Abstract: The present invention relates to an intelligent multi-layer detection and decision-support system designed to identify, confirm, and manage the spread of invasive vegetation species, with Neltuma juliflora as a representative application example. Traditional detection approaches rely on manual surveys or isolated satellite analysis, which are often slow, inaccurate, and unable to adapt to terrain-specific variations. The proposed system integrates three complementary monitoring layers: satellite-based large-scale vegetation monitoring, ground-level image validation through mobile devices, and autonomous drone-based close-range inspection. Each layer performs a specialized function in detecting potential infestations. A central adaptive fusion decision engine aggregates evidence from all layers, dynamically assigning confidence weights based on contextual reliability and historical performance. The system generates a unified infestation risk score and provides actionable recommendations, including removal, monitoring, or no intervention. Precise GPS coordinates are automatically generated to guide field teams. Following intervention, the system performs post-action verification through satellite re-analysis, enabling continuous model refinement and reduction of false positives. Through iterative learning and multi-source fusion, the invention delivers scalable, accurate, and adaptive invasive species management with minimal human intervention.
Disclaimer: Curated by HT Syndication.
