Background
Medicinal plants have played a crucial role in traditional medicine and modern healthcare. Medicinal plants have been used in traditional systems like Ayurveda and Indigenous healing practices for thousands of years. With the increasing complexity of plant taxonomy, deforestation, and the manual complex identity of plants, Artificial intelligence (AI) offers an innovative solution.¹⁵

Aim/ Objectives
To explore how Artificial intelligence (AI) applications help in identifying medicinal plants as per modern botany.

Design/Methodology
This study reviews the functioning of AI-based plant identification apps such as PlantNet, PlantSnap, etc. It focuses on the image recognition and machine learning techniques these apps use highlighting the all-specific botanical parameters analyzed (leaf, flower, Fruit, bark, etc.).¹⁵ Additionally, this study practically analyzed 20 medicinal plants like Dioscorea bulbifera L., etc where Artificial intelligence (AI) systems have been successfully applied in plant identifications.

Findings
Tools for plant identification were found significantly, occasionally misidentification still exists. AI-based apps demonstrate high accuracy in identifying medicinal plants by analyzing detailed botanical features, offering faster and more scalable solutions compared to traditional methods. However, certain limitations remain, including data gaps in AI plant databases and challenges with distinguishing between closely related species.

Conclusion
This paper contributes to the understanding of how AI technologies, specifically in modern botany, can advance the identification of medicinal plants. It highlights the integration of AI in botanical research, offering plant conservation, and drug discovery.

Keywords: Artificial Intelligence(AI), Medicinal Plants, Plant Identification Application, modern botany, Pharmacognosy.