MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202521124955 A) filed by Sage University, Indore, Madhya Pradesh, on Dec. 10, 2025, for 'an internet of things (iot) and machine learning based rainfall prediction system and method thereof.'
Inventor(s) include Dr. Prashant Jain; Mr. Nitesh Bhati; Dr. Sapna Dabade; and Dr. Abhay Kothari.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an IoT-enabled rainfall prediction system (100) designed to provide highly accurate and cost-efficient weather forecasting and method thereof. The system includes a data acquisition unit (101) for collecting real-time and historical climatic parameters such as temperature, humidity, pressure, wind speed and other environmental factors. A data preprocessing unit (102) performs data cleaning, missing value handling, normalization and feature scaling to ensure high-quality inputs. A machine learning processing unit (103) executes multiple classification algorithms, including logistic regression, random forest, Gaussian naive Bayes, multilayer perceptron, decision tree, K-nearest neighbour, CatBoost and AdaBoost classifiers. A prediction and evaluation unit (104) assesses algorithm accuracy and execution time to automatically select the best-performing model for final rainfall prediction. The system achieves an accuracy range of 78% to 85%, features a compact and low-cost IoT-based architecture, and ensures strong data security and privacy, making it suitable for reliable and scalable deployment."
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