MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018738 A) filed by Y. H. Sharath Kumar; and Dr. Ravi P, Mandya, Karnataka, on Feb. 19, for 'a system and method for integrated automated soil profiling and classification using multi-parametric data fusion and machine learning analysis.'
Inventor(s) include Y. H. Sharath Kumar; and Dr. Ravi P.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for integrated automated soil profiling and classification using multi-parametric data fusion and machine learning analysis. The system integrates laboratory-derived soil parameters and high-resolution digital image features within a unified computational architecture. Image processing techniques are employed to extract texture, color, and morphological characteristics, which are combined with measured engineering properties including index parameters, strength values, and gradation data. The fused dataset is processed using supervised machine learning models to classify soil according to standardized frameworks including the Unified Soil Classification System, AASHTO classification system, or agricultural soil taxonomy. The invention further generates predictive outputs comprising engineering suitability assessments, crop compatibility recommendations, soil fertility indicators, and erosion risk analysis. The system enables rapid, scalable, and objective soil evaluation while reducing dependence on manual interpretation and enhancing decision-making in civil engineering and agricultural applications."
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