Authors - Sakthi Saranya.S, W.Rose Varuna Abstract - Agriculture is one of the most important industries that provides for human basic need. To identify medicinal plant diseases using traditional methods, it will take long time. Medicinal Plants such as, Tulsi, Aloe vera, Mint and Ashwagandha play a crucial role in both ancient and modern systems. These plant images were taken into this work. Early identification of diseases in these plants is most important to maintain their medicinal benefit as well as economic value. This study investigates and compares five deep learning architectures, namely ResNet50, DenseNet121, EfficientNet-B0, InceptionV3 and CNN-for classifying leaf diseases in medicinal plants. Moreover, several performance metrics are used for the evaluation of these architectures. This work mainly focuses on determining the most suitable deep learning model for detecting the diseases in medicinal plants.
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