Volkan Kaya1, İsmail Akgül1, Özge Zencir Tanır2,*
Phyton-International Journal of Experimental Botany, Vol.92, No.9, pp. 2519-2534, 2023, DOI:10.32604/phyton.2023.029811
Abstract Classification and monitoring of microalgae species in aquatic ecosystems are important for understanding population dynamics. However, manual classification of algae is a time-consuming method and requires a lot of effort
with expertise due to the large number of families and genera in its classification. The recognition of microalgae
species has become an increasingly important research area in image recognition in recent years. In this study,
machine learning and deep learning methods were proposed to classify images of 12 different microalgae species
in order to successfully classify algae cells. 8 Different novel models (MobileNetV3Small-Lr, MobileNetV3SmallRf, MobileNetV3Small-Xg, MobileNetV3Large-Lr, MobileNetV3Large-Rf, MobileNetV3Large-Xg, MobileNetV3Small-Improved and… More >
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