MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202414036953 A) filed by Dalhousie University on May 10, 2024, for System, Apparatus And Method Of Determining Refined Petiole Nutrient Values Based On Leaf Spectral Data.
Inventors include Ahmad Ali Falah Al-Mallahi; Reem Abukmeil; and Felipe Campelo Franca Pinto.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: A system, an apparatus and a method of determining refined petiole nutrient values based on leaf spectral data are provided. The method includes storing leaf spectral data in a memory, transforming, using a processor, the leaf spectral data into preliminary petiole nutrient values by inputting the leaf spectral data into one or more linear machine learning models trained to provide petiole nutrient value outputs based on leaf spectral data inputs, andrefining, using the processor, the preliminary petiole nutrient values by inputting the preliminary petiole nutrient values into one or more non-linear machine learning models. The one or more non-linear machine learning models aretrained to provide refined petiole nutrient value outputs based on preliminary petiole nutrient value inputs.
Disclaimer: Curated by HT Syndication.
