Plant Identification and Analysis of Medicinal Properties Using Image Processing and CNN with MobileNetV2 and AlexNet

Medicinal plants have been valued for their diverse botanical traits and healing properties, also playing a crucial role in pharmacy and ecological conservation. Identification of these medicinal plants leaves and with their properties is necessary to increase the traditional methods of using a particular leaf. Machine Learning (ML) based algorithms were used to analyze the detecting plant leaves. This study aims to streamline the identification process, enhancing accuracy and accessibility of plant leaves particularly. The existing method performance was analyzed using various metrics namely accuracy, f1-score, recall and precision. The outcomes of this study have the potential to support the preservation of traditional knowledge, contribute to pharmaceutical advancements and aid in the conservation of bio-diversity. Accurate and rapid identification of these plants is essential for various purposes, including the development of herbal medicine, scientific research, and environmental protection.