A Revolutionary Machine-Learning based approach for identifying Ayurvedic Medicinal Plants
Subhashree Darshana, Kasturi Soumyakanta
Abstract
Developing an automated classification system for medicinal herbs is indeed a time-consuming and complicated task. Plants have been used for medicinal purposes for millennia. Ayurvedic herbs are gaining popularity in the medical industry due to fewer dangerous side effects and lower costs compared to modern pharmaceuticals. According to these facts, we have expressed a strong interest in the discovery research of Ayurvedic herbal medicines. This study examines theefficiency and reliability of several algorithms of machine learning for plant classification based on photos of leaves used in current history. Assessments of their benefits and drawbacks are also presented. The paper includes image processing algorithms that are used to recognize leaf and obtain significant leaf properties for particular machine learning approaches.