Identification of Medicinal Plants using Hybrid Model

Plants play a vital role in our lives by providing various facilities such as food, oxygen, medicines, etc. They are valuable for their medicinal properties and contain substances that are used in medicines. However, many such plants are being destroyed due to many environmental challenges such as global warming, pollution, and Limited government support for the research on medicinal plants. Manual identification of plants requires manual observation and expertise. This issue must be addressed by creating an automated identification system for medicinal plants. The hybrid model of CNN and SVM is to be implemented in the system. This hybrid model of CNN and SVM will extract features and classify them based on various features such as the color, shape, and texture of the leaf of a medicinal plant. This system will help identify the medicinal plants effectively and accurately and display information about them if they are identified as medicinal plants.