"Leaf Identification Using Machine Learning Techniques"

Abstract (English)

“This paper presents a machine learning-based approach for automated leaf identification and classification. The proposed system utilizes image processing techniques along with supervised learning algorithms to accurately identify plant species based on leaf characteristics such as shape, texture, and color. A dataset of various leaf images is used to train and test the model. The performance of the model is evaluated using accuracy metrics, showing promising results in real-time classification. This approach can be useful in agriculture, botanical research, and environmental monitoring by providing a fast and efficient method for plant identification