Analytical Comparison of Medicinal Plant Species Identification Using Artificial Intelligence

Medicinal plants are gaining popularity in the pharmaceutical field due to their cost-effectiveness and reduced side effects compared to current treatments. Given these facts, many scholars have shown significant interest in the topic of automated these facts. They are developing a resilient categorization system capable of reliably identifying therapeutic plants in real-time offers several possibilities for progress. A comprehensive resource database may be created by using machine learning to extract information from various medicinal plants. Rapid progress in artificial intelligence facilitates this. Manual identification of medicinal plants leads to a squander of both time and financial resources. Researchers propose utilizing artificial intelligence technology as a means of reducing the consumption of these resources. This paper aims to conduct a thorough literature review and their comparison to enhance the understanding of the identification of medicinal plant leaves. The paper presents image processing-based feature extraction approaches and excellent classification algorithms for detecting medicinal leaf images based on characteristic plant individualities.