MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611024358 A) filed by Manav Rachna University, Faridabad, Haryana, on March 1, for 'rice crop pathology assessment system.'
Inventor(s) include Mr. Anup Singh Kushwaha; Dr. Prinima Gupta; and Dr. Mahboob Alam.
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: "Disclosed is a system for automated field-level assessment of rice crop pathology using artificial intelligence (AI). An unmanned aerial vehicle performs flight over a rice cultivation area and includes an image capture device mounted within the unmanned aerial vehicle to capture digital images of rice foliage. A server acquires the digital images and performs pre-processing. An AI and machine learning model including a convolutional neural network and a Faster Region-Based Convolutional Neural Network (Faster R-CNN) detection framework is executed to generate bounding-box localization data for symptom regions and classification data indicative of a rice disease class including one or more of bacterial blight, sheath rot, brown spot, and blast. An assessment result comprising localization and classification data is generated and provided to a computing device for rendering."
Disclaimer: Curated by HT Syndication.
