Intellectual Property India Publishes Patent Application for 'A Cloud Computing-driven Federated Yolov8 Framework For Real-Time Medicinal Plant Disease Detection' Filed by Sasi Institute Of Technology & Engineering; M. Parthiban; P. Sivakumar; P. Krishnamoorthy; and S. Karthikeyan

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061661 A) filed by Sasi Institute Of Technology & Engineering; M. Parthiban; P. Sivakumar; P. Krishnamoorthy; and S. Karthikeyan, Tadepalligudem, Andhra Pradesh, on May 15, for 'a cloud computing-driven federated yolov8 framework for real-time medicinal plant disease detection.'

Inventor(s) include M. Parthiban; P. Sivakumar; P. Krishnamoorthy; and S. Karthikeyan.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "The invention provides a cloud computing-based federated YOLOv8 model for real-time plant disease detection of medicinal plants. The structure combines federated learning, cloud computing, and the use of the YOLOv8 object recognition algorithm to achieve secure and scalable monitoring of plants' diseases. The proposed system allows for decentralized model training in a collaborative way without sharing raw image data, thus maintaining privacy and minimizing communication costs. The framework enhances the efficiency of disease detection in real time, inference speed, scalability, and the accuracy of disease detection. The invention can be used in smart agriculture, healthcare management for medicinal plant and intelligent agricultural IoT system."

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