Fully Automated IoT-Compatible Platform for Fusarium Detection

Created using ChatSlide

This research delves into innovative methodologies for rapid pathogen detection via IoT diagnostics, specifically targeting the agricultural crisis from Fusarium in potatoes. It examines the limitations of conventional diagnostics and introduces novel molecular and AI-integrated solutions. Key methods include LAMP technology and bioinformatics for validation, alongside microfluidics automation and secure software data management. The study emphasizes the strategic importance of decentralized...