MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202611101564 A) filed by Dr. Sandeep Kumar; Dr. Chetna Priti; Dubbaka Navya; Kukkala Himabindu; Dr. Jagdish Chand; Dr. M. Kalyanasundaram; M Karthikkumar; Saravanan A P; Prof. Dr. Pijush Kanti Tripathi; Dr. B. Senthilnayaki; Dr. Ayem Perumal; and Nithya T on August 22, 2026, for Integrated Climate Intelligence Platform For Predicting El Niño-Induced Water Scarcity And Agricultural Loss Using Machine Learning.
Inventors include Dr. Sandeep Kumar; Dr. Chetna Priti; Dubbaka Navya; Kukkala Himabindu; Dr. Jagdish Chand; Dr. M. Kalyanasundaram; M Karthikkumar; Saravanan A P; Prof. Dr. Pijush Kanti Tripathi; Dr. B. Senthilnayaki; Dr. Ayem Perumal; and Nithya T.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention discloses the development of a Platform for Forecasting Water Scarcity and Agricultural Losses Caused by El Niño using Machine Learning. This platform will integrate climate measurements, atmospheric and oceanographic variables, rainfall distribution, soil moisture content, reservoirs, crop status, irrigation needs, and agricultural data from the past to derive predictive insights. A machine learning tool would be used to analyze these multi-dimensional data sets to derive predictive insights on El Niño climatic patterns and predict regional water availability, drought impact, reduction in crop yields, and agricultural loss. Furthermore, this platform will use predictive modeling and risk assessment techniques to deliver predictive alerts, water management advice, and agriculture planning. A dashboard will be provided to visualize the climate risks, water scarcity, and agricultural impacts. FIG.1
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