Volume: 3, 2024
3rd International PhD Student’s Conference at the University of Life Sciences in Lublin, Poland:
ENVIRONMENT – PLANT – ANIMAL – PRODUCT
Abstract number: OL001
DOI: https://doi.org/10.24326/ICDSUPL3.OL001
Published online: 24 April 2024
ICDSUPL, 3, OL001 (2024)
Artificial intelligence in food science
Igor Tomašević1
1 Faculty of Agriculture, University of Belgrade, 11080 Belgrade, Serbia
Abstract
Artificial intelligence (AI) is revolutionizing the field of food science by introducing advanced analytics and automation capabilities. AI systems can analyze vast datasets to optimize food processing, enhance flavor profiles, and predict consumer preferences with unprecedented accuracy. In food safety, AI-driven image recognition and machine learning algorithms are employed to detect contaminants. Monitoring compliance with food safety standards is streamlined through AI, ensuring products meet health regulations. AI-driven systems are used for food quality determination and control, employing technologies like electronic noses and computer vision systems. Develop personalized nutrition plans based on AI analysis of nutrition tests is also already used in practice. AI can be used in the detection of food fraud by employing advanced data analysis and machine learning techniques on large datasets to identify inconsistencies and anomalies that would be difficult for humans to spot. AI can predict potential food fraud by analyzing historical data and identifying risk factors associated with fraudulent activities. AI plays a crucial role in food sensory analysis by enhancing the accuracy and efficiency of evaluating the sensory attributes of food products. It can automate the sensory evaluation process, ensuring consistent quality and identifying deviations from desired sensory attributes. The integration of AI in food science not only streamlines production but also paves the way for innovative solutions to global food challenges.
How to cite
I. Tomašević, 2024. Artificial intelligence in food science. In: 3rd International PhD Student’s Conference at the University of Life Sciences in Lublin, Poland: Environment – Plant – Animal – Product. https://doi.org/10.24326/ICDSUPL3.OL001