MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202631015709 A) filed by Indian Institute Of Technology (Indian School Of Mines), Dhanbad, Jharkhand, on Feb. 12, for 'a method for rapid estimation of soil zinc content using mid-infrared ftir spectral data analysis and a multi-model machine learning framework.'

Inventor(s) include Anup Krishna Prasad; Shailayee Mukherjee; Bitan Purkait; Sandhya Sonker; Rachna Rakesh; Tathastu Das; Ayesha Nayak; Arya Vinod; Atul Kumar Varma; and Bhabesh Chandra Sarkar.

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: "A method for rapid estimation of soil zinc content using mid-infrared FTIR spectral data analysis and a multi-model machine learning framework. The present invention is a method to predict zinc content in soil. Soil samples from agricultural field (204) and soil samples of unknown zinc content (206) are collected, processed and prepared (208) for FTIR analysis (210) and x-ray fluorescence (XRF) analysis (212) as reference (ZnXRF, ppm) (214). Samples are processed and prepared at a known dilution factor (216), according to concentration increment for mid-infrared Fourier transform infrared spectroscopy analysis (218) and the resulting spectral signature for all samples (soil + KBr) between 1600 to 350 cm-1 are recorded (220). K-fold cross-validation of the soil samples (222) is used to split the sample into training (224) and test sets (226). A data analyzer (230) is used to conduct the analysis using multiple regression models to analyze the selected data. A multi-model estimation method is applied using the average of these best-performing models (230). The training set is used to predict the zinc content of the solid test pellets using FTIR data (234). The predicted and observed zinc content in soil samples are compared (238) to prove that the observed and predicted zinc of soil samples are statistically similar (240). The methodology yields zinc content in soil samples (242)."

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