Ayurvedic plant species recognition based on transfer learning method using CNN and ANN

Ayurvedic medicines plays significant role in maintaining the biological state of human beings. The major components of ayurvedic medicines are plant leaves, roots, stem, bark, leaf stalk, flowers etc. Ayurvedic plants cure several disorders such as lung diseases, gastro-intestinal disease, cardiac disorder, skin disorder, excretory diseases etc. So knowledge about these plants sustained by generations must be conserved. Also appropriate classification and identification of ayurvedic plants is essential for researchers, botanist, cultivator and doctors. Manual identification will be time consuming, imprecise and inaccurate. This paper proposes an automatic recognition system for the identification of different types of ayurvedic plant images using deep Convolutional Neural Network (CNN) and Artificial Neural Network (ANN) based on transfer learning method. For the performance evaluation the dataset is generated by capturing images using mobile device from the environment and from Google network. The dataset consist of 424 plant images of 21 types of ayurvedic plants. A Graphical User Interface (GUI) is also developed to display the informations of the detected ayurvedic plant.