Spore Concentration

Accurately determining the concentration of various substances, whether fungal spores in paper production, chemical components in bioreactors, or gases in industrial settings, is crucial for quality control and safety. Current research focuses on developing robust and efficient methods for real-time concentration prediction, employing machine learning techniques such as ridge regression, convolutional neural networks (CNNs), and graph convolutional networks combined with vision transformers (GViT). These advancements offer significant improvements in process monitoring and control across diverse industries, enabling more precise and timely interventions to maintain product quality and safety.