METHOD FOR PLANT SPECIES IDENTIFICATION USING LEAF IMAGE CLASSIFICAITON

Abstract

ABSTRACT A method (100) for identifying plant species based on leaf images. Further, the method comprising obtaining a dataset of leaf images from a plurality of plant species. Further, the method (100) comprising the steps of pre-processing the leaf images to enhance quality and normalize dimensions. Further, the method (100) comprising the steps of training a Convolutional Neural Network (CNN) using the pre-processed leaf images to recognize features associated with different plant species. Further, the method (100) comprising the steps of inputting a new leaf image into the trained CNN. Further, the method (100) comprising the steps of outputting a predicted plant species classification based on the analysis of the new leaf image

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to the field of plant identification and classification, focusing on a method that utilizes deep learning and image processing techniques to recognize plant species based on leaf morphology. The approach involves creating a comprehensive dataset of leaf images, pre-processing these images to ensure quality and consistency, and training a Convolutional Neural Network (CNN) to classify the images accurately. This methodology aims to enhance the efficiency of plant recognition, which is valuable in agriculture, ecology, and biodiversity conservation
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background , Claims:1. A method (100) for identifying plant species based on leaf images, comprising:
obtaining a dataset of leaf images from a plurality of plant species;
pre-processing the leaf images to enhance quality and normalize dimensions;
training a Convolutional Neural Network (CNN) using the pre-processed leaf images to recognize features associated with different plant species;
inputting a new leaf image into the trained CNN; and
outputting a predicted plant species classification based on the analysis of the new leaf image.

2. The method (100) as claimed in claim 1, wherein the method (100) further comprising augmenting the dataset of leaf images with additional variations, including rotations, scaling, and colour adjustments, to improve the robustness of the trained CNN.

Documents