MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122474 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy University; Malla Reddy Engineering College For Women; Malla Reddy College Of Engineering And Technology; and Malla Reddy Vishwavidyapeeth, Malkajgiri, Telangana, on Dec. 5, 2025, for 'automated soil classification tool using geospatial data integration.'
Inventor(s) include Mr. Akella Naga Sai Baba; Dr. K. Asish Vardhan; Mr. Venkata Ramana S; G. Likitha; and Mrs. Sheetal Kulkarni.
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 discloses a computational tool designed to automatically classify soil types through the integration of geospatial datasets, remote-sensing imagery, and field-survey data. Conventional soil mapping methods depend on manual interpretation and physical sampling, which are time-consuming and prone to human bias. The proposed system consolidates multispectral satellite imagery, topographic and climatic data, and verified soil samples into a unified geospatial model. It employs data-fusion and machine-learning techniques to extract meaningful patterns from diverse inputs, providing accurate soil-class predictions at regional or national scales. The tool corrects and harmonizes heterogeneous data sources, removing atmospheric and geometric distortions before analysis. The integrated dataset feeds an adaptive learning engine capable of detecting subtle variations in reflectance, moisture, and terrain characteristics. Through continuous model refinement and feedback from field validation, the invention delivers high-resolution, GIS-ready soil maps with confidence metrics. It can be used for agricultural planning, water-resource management, land-use zoning, and environmental sustainability initiatives."
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