MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611024049 A) filed by Chandigarh University, Mohali, Punjab, on Feb. 28, for 'an automated system for tree species identification using leaf-based image analysis.'
Inventor(s) include Dr. Vivek Arya; and V Manoj Kumar.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an automated system for tree species identification using leaf-based image analysis. The system enables a user to capture an image of a leaf using a mobile or web-based device, which is then automatically pre-processed to isolate the leaf, remove noise, and normalize image parameters. Morphological, textural, and color-based features are extracted from the processed image to generate a unique digital representation of the leaf. These features are analyzed by a pre-trained Convolutional Neural Network optimized for real-time performance and trained on a region-specific leaf image dataset. The system compares the extracted features with stored representations to accurately identify the corresponding tree species. The identified species information is displayed to the user along with relevant details. The invention provides a fast, accurate, and user-friendly solution for localized tree species identification without requiring botanical expertise or seasonal plant features."
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