MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611054913 A) filed by Tawseef Ayoub Shaikh; Mohd Yaseen Mir; Mir Salim Ul Islam; Prabal Verma; Mir Gulam Hassan; Tabasum Rasool; and NIT, Srinagar, Jammu & Kashmir, on April 29, for 'system and method for uav-based airborne spore detection and geo-spatial disease prediction.'
Inventor(s) include Tawseef Ayoub Shaikh; Mohd Yaseen Mir; Mir Salim Ul Islam; Prabal Verma; Mir Gulam Hassan; and Tabasum Rasool.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for airborne spore detection and geo-spatial disease prediction using an unmanned aerial vehicle (UAV). The system comprises an active air sampling module configured to collect airborne particles onto a particle capture cartridge, an onboard micro-imaging unit for capturing microscopic images of the collected particles, and an edge artificial intelligence (AI) processing unit for real-time detection, classification, and quantification of airborne spores. The system further includes a sensor suite for acquiring environmental parameters including temperature, humidity, wind conditions, and geographic location. The processed spore data is integrated with environmental parameters to generate geo-spatial disease risk predictions and maps. The invention enables real-time monitoring, early detection of crop diseases, and targeted intervention while minimizing data transmission through onboard processing."
Disclaimer: Curated by HT Syndication.
