Building mycotoxin-resilient supply chains with AI

Full Article
Building mycotoxin-resilient supply chains with AI

Mycotoxins pose significant threats to agriculture and food production, impacting both human and animal health. These naturally occurring toxins can lead to severe economic losses when crops are contaminated. dsm-firmenich has developed innovative tools like the Mycotoxin Survey and Prediction Tool to enhance risk management strategies against these toxins.

Artificial intelligence is revolutionizing the approach to mycotoxin management by providing deeper insights and predictive analytics. The integration of AI allows for real-time data analysis, enabling proactive interventions to safeguard food supplies. dsm-firmenich's commitment to quality and compliance, backed by EU and FDA authorizations, reinforces its leadership in mycotoxin risk management.

• AI enhances prediction tools for mycotoxin contamination risks.

• Machine learning streamlines enzyme development for mycotoxin detoxification.

Key AI Terms Mentioned in this Article

Artificial Intelligence

Artificial intelligence is used to analyze vast datasets for predicting mycotoxin risks.

Machine Learning

Machine learning optimizes enzyme development, making the process more efficient.

AlphaFold2

AlphaFold2 predicts protein structures quickly, aiding in enzyme design for mycotoxin neutralization.

Companies Mentioned in this Article

dsm-firmenich

dsm-firmenich utilizes AI-driven tools to manage mycotoxin risks effectively across the supply chain.

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