Before the rise in modern medicine, India was known for its Ayurvedic medical system. Ayurvedic medicines were naturally found and prepared by Ayurvedic doctors or Vaidya as known in the native language. Earlier, people had the knowledge and were able to easily identify medicinal plants. Today, the naïve users are unaware of the rich Ayurveda that India holds. Therefore, using various technologies like Machine Learning, Classification, others a model can be implemented to recognize the leaves and provide their medicinal values. The aim behind using leaf and not roots, stem, branch, or other parts for plant identification is because of its availability, easy accessibility, and also it holds many properties that turn out to be useful for the identification system using Machine Learning. This system consists of 16 plant leaves. Convolutional Neural Network (CNN) model is used for image identification. The model extracts the features from images and identifies the leaf. After that, the system displays the information about the leaf - common name, botanical name, chemical compositions, benefits, and diseases that can be cured.

Patent Details :: Patent Filed on 05 March 2021. Indian Patent Application No. 202121006780