MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133129 A) filed by Dr. S. R. Sivakumar, Tiruchirappalu, Tamil Nadu, on Dec. 29, 2025, for 'a system and method for the strength of the macro algal feed for domestic hen (gallus gallus domesticus) and biochemical assay.'
Inventor(s) include Dr. S. R. Sivakumar.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for the strength of the macro algal feed for Domestic Hen (Gallus gallus domesticus) and Biochemical Assay The present disclosure relates to a system and method a technical sensor-assisted architecture to assist in assessing barriers in how well marine macroalgal feed affects the nutrition and chemistry of domestic chickens (Gallus gallus domesticus) with an emphasis on technical governance. This system includes a processor operationally linked to the following types of modules/methods: macroalgal feed biochemical characterization, macroalgal feed delivery regulation, monitoring poultry physiology, analyzing poultry serum chemistry, and verifying poultry nutritional outcomes. This process involves creating digitized biochemical profiles for marine macroalgae, supplying macroalgal feed as identified in each of the modules described above, collecting real-time poultry physiology/serum chemistry data, relating the composition of macroalgal feed to poultry metabolic response using pre-determined constraints of nutritional causation, and establishing a link between the nutritional benefits of the macroalgal feed provided to poultry at the time of evaluation with the biochemical response at the tissue level. With this invention, established feeding practices based on traditional empirical data are converted into a systematic, hardware-based, and methodical approach to evaluating the nutritional quality of a macroalgal feed product based on objective data and test repeatability. This dynamic validation will further improve the cause-effect relationship between feed composition and poultry metabolic effects, and provide a method for increasing the accuracy and reliability of precision agricultural practices related to poultry feed production."
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