MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050727 A) filed by Dayananda Sagar College Of Engineering, Bangalore, Karnataka, on April 21, for 'an iot-ml framework for quantifying physical impacts on livestock lactation.'
Inventor(s) include Dr. A. R. Aswatha; Karunya C; Bhavya Nayak; Praneel M; and Fuzail Ahmed Khan.
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: "An IoT-ML Framework for Quantifying Physical Impacts on Livestock Lactation is an integrated system designed for high-precision milk yield forecasting and proactive livestock health monitoring. The architecture is defined by a multi-layered approach, beginning with a conceptual Sensing Layer designed to interface with IoT telemetry including temperature, humidity, and livestock pulse data. This data acquisition strategy is integrated into a Machine Learning Engine powered by the CatBoost regressor algorithm, which identifies non-linear correlations between environmental stressors and biological inputs such as breed, age, and lactation stage. The framework is supported by an Application Layer featuring an interactive Web/Mobile GUI that translates predictive analytics into actionable insights. This enables a systematic transition from simulated datasets to live operational environments, allowing dairy producers to optimize resource management, predict daily yields, and perform early-stage binary health classification to identify physiological anomalies."
Disclaimer: Curated by HT Syndication.
