Abstract: This paper presents an intelligent system for plant identification through the analysis of leaf images, utilizing image processing and machine learning techniques. The model extracts key leaf features such as shape, color, texture, and vein patterns to classify plant species accurately. This approach provides an accessible, efficient, and scalable method for botanical studies, conservation efforts, and educational purposes. The system emphasizes ease of use, requiring only a smartphone or basic imaging device. By leveraging convolutional neural networks (CNNs) for classification, the proposed model achieves high accuracy in species recognition. This paper explores the system's design, methodology, experimental evaluation, and future applications.
Keywords: Plant Identification, Image Processing, Leaf Recognition, Machine Learning, Convolutional Neural Networks (CNN).
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DOI:
10.17148/IJARCCE.2025.14562
