Identification and classification of medicinal plants using leaf with deep convolutional neural networks

Abstract

The Indian medical practise of Ayurveda has gained international renown. Herbal preparations are the basis of Ayurveda medicine. The pharmaceutical industry is beginning to pay more attention to medicinal plants because they have fewer adverse effects and reactions than modern medicine and are also less expensive. In recent years, numerous Deep learning, machine learning algorithms that are both effective and reliable have been utilised for plant classifications by using images of leaf. In this work, 45 distinct medicinal plant leaves were used, and a deep learning model was applied in order to achieve a high degree of accuracy in the classification and recognition procedures that were carried out with the help of computer vision techniques. After categorising the leaves of numerous medicinal plants, the Xception model has a 97.65% accuracy rate.

Utilizing Random Forests for the Classification of Pudina Leaves through Feature Extraction with InceptionV3 and VGG19

“…Emphasizing the importance of automated identification, particularly in Ayurveda and the pharmaceutical industry, the study highlights the efficiency of deep learning models like Xception in this context. It also addresses challenges in manual identification and underscores the significance of computer vision methods (Bhelkar & Sharma, 2022).…”