This research included a field study with zooplankton sampling and environmental measurements taken on two days in consideration of the tidal cycles. Determining the taxonomic composition of a zooplankton community traditionally with a microscope is labour and time intensive, therefore, the imaging system ZooScan was used to digitise the collected zooplankton samples. This process allows simultaneous analysis of multiple organisms in a sample and the taxonomic composition of the zooplankton community is automatically predicted based on deep-learning algorithms, saving time with identification. Through the measurement of length ratios, the metadata that is attached to single images can be used to determine abundances or biovolumes of samples and allows further analysis to interpret food web dynamics. Before, a critical literature review was conducted to identify gaps in knowledge and emerging trends in the study of zooplankton in the Mediterranean Sea region.