MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073587 A) filed by S. Chitra Devi; Dr. K. Radha Lakshmi; Yamini Tondepu; and Dr M Koti Reddy on June 13, 2026, for Machine Learning-Based System For Weather Prediction And Crop Loss Risk Evaluation.
Inventors include S. Chitra Devi; Dr. K. Radha Lakshmi; Yamini Tondepu; and Dr M Koti Reddy.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to the development of the advent of machine learning-driven models for weather predictions and crop loss risks has been seen as a sophisticated approach towards improving productivity levels and avoiding losses. In this paper, an intelligent model that makes use of past weather records, satellite imagery, soil status, humidity, rainfall patterns, and changes in temperatures is discussed in order to make accurate predictions of weather conditions and forecast possible risks of crop damage. To achieve this, the application of Random Forest, Support Vector Machine, and Neural Network machine learning techniques is made possible in analyzing large environmental and agricultural data sets in real-time. The ability to predict possible extreme weather phenomena such as drought, flooding, and unseasonal rain helps make necessary precautions for protecting the crops and managing the available resources. FIG.1
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