Medicinal Plant Detection Using Machine Learning and Deep Learning

Traditional medicine has used medicinal plants as natural treatments for a wide range of illnesses. These plants contain bioactive substances that can be utilized to treat vari- ous ailments. Machine learning (ML) and deep learning (DL) algorithms have shown significant potential for detecting and classifying medicinal plants based on their morphological and chemical features. This paper explores the use of ML and DL approaches, such as Convolutional Neural Networks (CNNs), to analyze images of medicinal plants and classify them based on distinctive characteristics. Results demonstrate that these techniques can achieve high accuracy and reliability, paving the way for advancements in sustainable healthcare and drug discovery.