A Methodology for Identification of Ayurvedic Plant Based on Machine Learning Algorithms

Abstract

Modern advances in automated plant species recognition systems have made it easier for laypeople to identify a wide range of plant species.Comparatively difficult is the automatic computer analysis of plant species compared to human interpretation.Many studies have been undertaken to improve plant identification in this region.Plant species cannot be properly classified using these approaches.The problem stems from the inefficient classification algorithm.Particularly in regards to the identification of the numerous species of medicinal plants, accuracy will be the most crucial consideration.The research has led to the conclusion that deep learning is the best approach to improving the precision of computer vision-based classification and recognition systems.To achieve its objectives, this system employs convolutional neural networks.With this effort, we were able to create a neural network with a 96.6% success rate

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