Identification of Burkholderia gladioli pv. cocovenenans in Black Fungus and Efficient Recognition of Bongkrekic Acid and Toxoflavin Producing Phenotype by Back Propagation Neural Network
This research investigated dangerous bacterial contamination in black fungus, a popular edible mushroom, and developed an innovative AI-based method to quickly identify toxic strains. The findings have significant implications for food safety and public health. Key impacts on everyday life: • Helps ensure safer black fungus products for consumers • Enables faster detection of dangerous contamination in food • Reduces the risk of severe food poisoning incidents • Provides new tools for food safety inspection and quality control • Demonstrates how AI can improve food safety testing