Identification of plants by analyzing their leaves using digital image processing techniques which involves examining and extracting various morphological features such as shape, color, and texture. This approach influences technology to automate and streamline the identification process.

The goal of this study is to classify microalgae of different species such as Chlorella vulgaris FSP-E, Chlamydomonas reinhardtii, and Spirulina platensis, using machine learning (ML) and deep learning (DL) methods