Student Research Reports

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This technology project aims to develop a web application for lichen classification and serve as a tool for preliminary air quality analysis, leveraging the sensitivity of lichens to environmental conditions. The project focuses on enabling the general public to easily identify different lichen groups, especially for individuals without prior knowledge in lichenology. To ensure accurate and convenient lichen classification, the developers have implemented an artificial intelligence system utilizing a Convolutional Neural Network trained with ImageDataGenerator from TensorFlow/Keras. This model is capable of classifying lichens into three distinct groups based on user-submitted images via the web application. The development of this web-based platform allows users to access the system seamlessly without the need for additional software installation. This project facilitates lichen identification for enthusiasts, researchers, and those interested in using lichens as bio-indicators of air quality. Additionally, it serves as a foundation for the development of tools that can be applied in environmental conservation and ecological studies in the future.