Background/Purpose: The integration of deep learning techniques in image processing has shown significant potential in various fields, including the identification and analysis of medicinal plants. Methodology/Approach: The relevant information and specifics for this case study on image processing using deep learning were gathered from a number of research projects that were presented at conferences, reference papers, and websites pertaining to the medicinal plant business. Developing a theoretical notion may be achieved by constructing the model and doing analysis using the ABCD substructure. Findings/Results: By enhancing the accuracy and efficacy of plant identification and analysis, the use of deep learning image processing in medicinal plants has the potential to completely transform the sector. Conclusion: This research examines the applicability and significance of deep learning and recognition of images in the current context of the medicinal plant sector. Paper Type: Analysis of the research based on the case study.