Intellectual Property India Publishes Patent Application for 'A Multi-Modal System For Plant Disease Prediction Using Iot' Filed by Manipal University

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115729 A) filed by Manipal University, Jaipur, Rajasthan, on Nov. 23, 2025, for 'a multi-modal system for plant disease prediction using iot.'

Inventor(s) include Dr. Malvinder Singh Bali; Varun Swami; Lalit; Surya Vardhan Singh Shekhawat; and Vaishnavi Shukla.

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: "The present disclosure discloses multi-modal plant disease prediction system using IoT (100) that integrates heterogeneous data sources to proactively assess disease risk. The system includes a data ingestion module (102) configured to receive meteorological data, user-submitted plant images, geo-tagged disease reports, and real-time IoT sensor data from an IoT sensing unit (104). The data is processed by multiple analysis engines: an image analysis engine (106), an environmental analysis engine (108), a crowd-sourced data analysis engine (110), and an IoT sensor analysis engine (112). Outputs are fused by a hybrid fusion engine (114) to compute a single hybrid disease risk score. A user application module (116) displays predictions, while an alerting module (118) provides preventive notifications. An actuator control module (120) triggers automated IoT actions, coordinated by a processing unit (122) and a communication module (124) for continuous data flow."

Disclaimer: Curated by HT Syndication.