AI-Enabled Efficient and Safe Food Supply Chain

This paper provides a review of an emerging field in the food processing sector, referring to efficient and safe supply chains, ’from farm fork’, as enabled by Artificial Intelligence (AI). The is great significance from economic, safety public health points views. focuses on effective production, maintenance energy management retail packaging labeling control, using recent advances machine learning. Appropriate deep neural architectures are adopted used for this purpose, including Fully Convolutional Networks, Long Short-Term Memories Recurrent Neural Auto-Encoders Attention mechanisms, Latent Variable extraction clustering, well Domain Adaptation. Three experimental studies presented, illustrating ability these AI methodologies produce state-of-the-art performance whole chain. In particular, concern: (i) predicting plant growth tomato yield greenhouses, thus matching production market needs reducing waste or unavailability; (ii) optimizing consumption across large networks refrigeration systems, through optimal selection systems that can be shut-down prediction respective de-freezing times, during peaks power demand load; (iii) optical recognition verification expiry date automatic inspection packaged food, ensuring people’s health.