MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611023374 A) filed by Dr. Ambreen Hamadani; and Prof Nazir A Ganai, Srinagar, Jammu & Kashmir, on Feb. 27, for 'integrated iot and ai-driven multimodal monitoring and genetic evaluation system for sheep & goat.'
Inventor(s) include Dr. Ambreen Hamadani; and Prof Nazir A Ganai.
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: "The present invention provides a fully integrated platform for automated monitoring and genetic evaluation of sheep and goats. Current livestock tools are fragmented, relying on manual record-keeping, single-mode identification, or bulky weighing systems, which cause inefficiency and errors. This system solves these issues by combining IoT sensors, cameras, and computer vision with a dynamic walk-over weighing module built into shed corridors. Multiple load cells ensure accurate weight capture despite animal movement, while dual identification through RFID tags and vision recognition guarantees reliable tracking. A built-in counter records animal entry and exit, and all data is unified in a centralized cloud database. An AI engine analyses phenotypic and biometric records to generate genetic merit scores and productivity predictions. Farmers access real-time dashboards showing herd counts, weight histories, health alerts, and breeding recommendations. The system reduces manual effort, improves accuracy, and enables precision livestock management for small ruminant farms."
Disclaimer: Curated by HT Syndication.
