Intellectual Property India Publishes Patent Application for 'A Tool For Comparative Analysis Of Machine Learning And Transformer-Based Models For Crop Yield Prediction' Filed by S. Hrushikesava Raju; Viswanathan Ramasamy Reddy; Sukham Romen Singh; and Koneru Lakshmaiah Education Foundation

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050071 A) filed by S. Hrushikesava Raju; Viswanathan Ramasamy Reddy; Sukham Romen Singh; and Koneru Lakshmaiah Education Foundation, Mangalagiri, Andhra Pradesh, on April 20, for 'a tool for comparative analysis of machine learning and transformer-based models for crop yield prediction.'

Inventor(s) include Viswanathan Ramasamy Reddy; and Sukham Romen Singh.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "Accurate yield prediction of a crop plays a vital role in enhancing agricultural productivity, resource allocation, and food security. This ...