ARTIFICIAL INTELLIGENCE DRIVEN INFORMATION FOR IMPROVED FUNGAL REMEDIATION

The field of fungal bioremediation is undergoing a remarkable transformation thanks to the integration of machine learning. Advanced AI models can now interpret vast collections of information related to fungal growth, contaminant degradation, and environmental conditions. This enables researcher