MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202611040979 A) filed by Galgotias University on March 31, 2026, for An Artificial Intelligence-Based System And Method For Automated Identification Of Indian Cattle Breeds Using Image Data.
Inventors include Aditya Sah; Sarth; Ashutosh Kumar Jha; and Tushar Sati.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to an artificial intelligence-based system and method for automated identification of Indian cattle breeds using image data. The system utilizes a convolutional neural network (CNN) model trained on a dataset of multiple cattle breeds to classify images based on visual features such as body structure, horn shape, and coat patterns. The invention includes modules for image acquisition, preprocessing, classification, confidence evaluation, and breed information mapping. It operates under real-world field conditions without requiring specialized equipment and provides accurate, scalable, and objective breed identification. The system further retrieves and presents breed-specific information, thereby functioning as a decision-support tool for livestock management, veterinary applications, and agricultural systems.
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