MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123377 A) filed by Mr. P Venkateswarlu Dr. Siva Sankara Phani Tammireddy; Dr P. Ravichandran; Dr. Prashant A. Giri; R. Priyanaka; Dr K. Senthilkumar; Rajalakshmi Engineering College; and Mohammed Kasim M, Ongole, Andhra Pradesh, on Dec. 8, 2025, for 'integrated iot sensing and ml cloud engine for proactive plant health assessment and yield forecasting.'
Inventor(s) include Mr. P Venkateswarlu; Dr. Siva Sankara Phani Tammireddy; Dr P. Ravichandran; Dr. Prashant A. Giri; R. Priyanaka; Dr K. Senthilkumar; and Mohammed Kasim M.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to the development of a united ecosystem of smart sensors in the field, together with a cloud-based machine learning (ML) engine, for monitoring a plant's health in advance and estimating a future yield. We accomplish this monitoring using a distributed network of environmental sensors and a multispectral imager to sample physiological data and soil in real-time. Our environmental data is then sent to a cloud infrastructure that scales to use deep learning algorithms in identifying early signals of biotic and abiotic stress before visual symptoms occur. At the same time, predictive models instantiate patterns in growth over time and environmental variables to create an estimate of final harvest. With our data-driven decision-making, we allow farmers to optimize levels of water and nutrients for their crop by moving the management of their farm from reactive practices to preventative practices. Through this system, we are solving for resilience, productivity, and sustainability in agriculture."
Disclaimer: Curated by HT Syndication.
