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Medicinal Plant Classification by adityaprasad3887 is a document available to read on EtoBox.

The document discusses the development of an automated system for identifying medicinal plants using machine learning and image processing techniques, specifically employing CNNs and SVM classifiers. The project aims to enhance the accuracy and accessibility of plant identification for healthcare purposes, utilizing a dataset of 30 plant species and various evaluation metrics. Future enhancements include real-time mobile application deployment and integration of additional plant parts for identification.

Author
adityaprasad3887
Language
EN