MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541114801 A) filed by Sri Sairam Engineering College, Chennai, Tamil Nadu, on Nov. 21, 2025, for 'drone-based spectral imaging and artificial intelligence for early detection of plant diseases.'
Inventor(s) include Keerthi Kumar V; Harshitha M; Salman L; and Dr. B. Vijay A Ramnath.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "Manual monitoring of crop health is labor-intensive, time-consuming, and often inaccurate, leading to delayed responses, excessive pesticide use, and yield loss. This project presents an Al-powered autonomous drone system designed to revolutionize precision agriculture. Equipped with NDVI and multispectral cameras, the drone captures higlf-resolution spectral data to identify early signs of plant stress, pest infestations, nutrient deficiencies, and water imbalance. The onboard Al model processes this data in real time, geotags affected zones, and autonomously performs precision spraying through an intelligent dispensing mechanism-ensuring optimal chemical use while minimizing environmental impact. All data is transmitted to a cloud-based SaaS platform, which analyzes results and generates simplified local-language reports accessible via smartphones. By integrating automation, Al analytics, and IoT-based communication, this invention promotes sustainable agriculture, empowers smallholder farmers with accessible technology, and significantly improves crop productivity and resource efficiency."
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